diff --git a/src/backend/distributed/planner/multi_planner.c b/src/backend/distributed/planner/multi_planner.c
index d81776541..0ba89afce 100644
--- a/src/backend/distributed/planner/multi_planner.c
+++ b/src/backend/distributed/planner/multi_planner.c
@@ -26,11 +26,14 @@
 #include "executor/executor.h"
 #include "nodes/makefuncs.h"
 #include "nodes/nodeFuncs.h"
+#include "parser/parsetree.h"
+#include "optimizer/pathnode.h"
 #include "optimizer/planner.h"
 #include "utils/memutils.h"
 
 
 static List *relationRestrictionContextList = NIL;
+static List *joinRestrictionContextList = NIL;
 
 /* create custom scan methods for separate executors */
 static CustomScanMethods RealTimeCustomScanMethods = {
@@ -57,7 +60,10 @@ static CustomScanMethods DelayedErrorCustomScanMethods = {
 /* local function forward declarations */
 static PlannedStmt * CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery,
 										   Query *query, ParamListInfo boundParams,
-										   RelationRestrictionContext *restrictionContext);
+										   RelationRestrictionContext *restrictionContext,
+										   JoinRestrictionContext *joinRestrictionContext);
+static void AssignRTEIdentities(Query *queryTree);
+static void AssignRTEIdentity(RangeTblEntry *rangeTableEntry, int rteIdentifier);
 static Node * SerializeMultiPlan(struct MultiPlan *multiPlan);
 static MultiPlan * DeserializeMultiPlan(Node *node);
 static PlannedStmt * FinalizePlan(PlannedStmt *localPlan, MultiPlan *multiPlan);
@@ -65,9 +71,11 @@ static PlannedStmt * FinalizeNonRouterPlan(PlannedStmt *localPlan, MultiPlan *mu
 										   CustomScan *customScan);
 static PlannedStmt * FinalizeRouterPlan(PlannedStmt *localPlan, CustomScan *customScan);
 static void CheckNodeIsDumpable(Node *node);
-static RelationRestrictionContext * CreateAndPushRestrictionContext(void);
+static List * CopyPlanParamList(List *originalPlanParamList);
+static void CreateAndPushPlannerContexts(void);
 static RelationRestrictionContext * CurrentRestrictionContext(void);
-static void PopRestrictionContext(void);
+static JoinRestrictionContext * CurrentJoinRestrictionContext(void);
+static void PopRestrictionContexts(void);
 static bool HasUnresolvedExternParamsWalker(Node *expression, ParamListInfo boundParams);
 
 
@@ -78,7 +86,8 @@ multi_planner(Query *parse, int cursorOptions, ParamListInfo boundParams)
 	PlannedStmt *result = NULL;
 	bool needsDistributedPlanning = NeedsDistributedPlanning(parse);
 	Query *originalQuery = NULL;
-	RelationRestrictionContext *restrictionContext = NULL;
+	RelationRestrictionContext *relationRestrictionContext = NULL;
+	JoinRestrictionContext *joinRestrictionContext = NULL;
 
 	/*
 	 * standard_planner scribbles on it's input, but for deparsing we need the
@@ -88,30 +97,14 @@ multi_planner(Query *parse, int cursorOptions, ParamListInfo boundParams)
 	{
 		originalQuery = copyObject(parse);
 
-		/*
-		 * We implement INSERT INTO .. SELECT by pushing down the SELECT to
-		 * each shard. To compute that we use the router planner, by adding
-		 * an "uninstantiated" constraint that the partition column be equal to a
-		 * certain value. standard_planner() distributes that constraint to
-		 * the baserestrictinfos to all the tables where it knows how to push
-		 * the restriction safely. An example is that the tables that are
-		 * connected via equi joins.
-		 *
-		 * The router planner then iterates over the target table's shards,
-		 * for each we replace the "uninstantiated" restriction, with one that
-		 * PruneShardList() handles, and then generate a query for that
-		 * individual shard. If any of the involved tables don't prune down
-		 * to a single shard, or if the pruned shards aren't colocated,
-		 * we error out.
-		 */
-		if (InsertSelectQuery(parse))
-		{
-			AddUninstantiatedPartitionRestriction(parse);
-		}
+		AssignRTEIdentities(parse);
 	}
 
 	/* create a restriction context and put it at the end if context list */
-	restrictionContext = CreateAndPushRestrictionContext();
+	CreateAndPushPlannerContexts();
+
+	relationRestrictionContext = CurrentRestrictionContext();
+	joinRestrictionContext = CurrentJoinRestrictionContext();
 
 	PG_TRY();
 	{
@@ -125,23 +118,75 @@ multi_planner(Query *parse, int cursorOptions, ParamListInfo boundParams)
 		if (needsDistributedPlanning)
 		{
 			result = CreateDistributedPlan(result, originalQuery, parse,
-										   boundParams, restrictionContext);
+										   boundParams, relationRestrictionContext,
+										   joinRestrictionContext);
 		}
 	}
 	PG_CATCH();
 	{
-		PopRestrictionContext();
+		PopRestrictionContexts();
 		PG_RE_THROW();
 	}
 	PG_END_TRY();
 
 	/* remove the context from the context list */
-	PopRestrictionContext();
+	PopRestrictionContexts();
 
 	return result;
 }
 
 
+/*
+ * To be able to track individual RTEs through postgres' query
+ * planning, we need to be able to figure out whether an RTE is
+ * actually a copy of another, rather than a different one. We
+ * simply number the RTEs starting from 1.
+ *
+ * Note that we're only interested in RTE_RELATIONs and thus assigning
+ * identifiers to those RTEs only.
+ */
+void
+AssignRTEIdentities(Query *queryTree)
+{
+	List *rangeTableList = NIL;
+	ListCell *rangeTableCell = NULL;
+	int rteIdentifier = 1;
+
+	/* extract range table entries for simple relations only */
+	ExtractRangeTableEntryWalker((Node *) queryTree, &rangeTableList);
+
+	foreach(rangeTableCell, rangeTableList)
+	{
+		RangeTblEntry *rangeTableEntry = (RangeTblEntry *) lfirst(rangeTableCell);
+
+		if (rangeTableEntry->rtekind != RTE_RELATION)
+		{
+			continue;
+		}
+
+		AssignRTEIdentity(rangeTableEntry, rteIdentifier++);
+	}
+}
+
+
+/*
+ * To be able to track RTEs through postgres' query planning, which copies and
+ * duplicate, and modifies them, we sometimes need to figure out whether two
+ * RTEs are copies of the same original RTE. For that we, hackishly, use a
+ * field normally unused in RTE_RELATION RTEs.
+ *
+ * The assigned identifier better be unique within a plantree.
+ */
+static void
+AssignRTEIdentity(RangeTblEntry *rangeTableEntry, int rteIdentifier)
+{
+	Assert(rangeTableEntry->rtekind == RTE_RELATION);
+	Assert(rangeTableEntry->values_lists == NIL);
+
+	rangeTableEntry->values_lists = list_make1_int(rteIdentifier);
+}
+
+
 /*
  * IsModifyCommand returns true if the query performs modifications, false
  * otherwise.
@@ -187,7 +232,8 @@ IsModifyMultiPlan(MultiPlan *multiPlan)
 static PlannedStmt *
 CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery, Query *query,
 					  ParamListInfo boundParams,
-					  RelationRestrictionContext *restrictionContext)
+					  RelationRestrictionContext *restrictionContext,
+					  JoinRestrictionContext *joinRestrictionContext)
 {
 	MultiPlan *distributedPlan = NULL;
 	PlannedStmt *resultPlan = NULL;
@@ -201,7 +247,9 @@ CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery, Query *query
 	if (IsModifyCommand(query))
 	{
 		/* modifications are always routed through the same planner/executor */
-		distributedPlan = CreateModifyPlan(originalQuery, query, restrictionContext);
+		distributedPlan = CreateModifyPlan(originalQuery, query, restrictionContext,
+										   joinRestrictionContext);
+
 		Assert(distributedPlan);
 	}
 	else
@@ -566,6 +614,37 @@ CheckNodeIsDumpable(Node *node)
 }
 
 
+/*
+ * multi_join_restriction_hook is a hook called by postgresql standard planner
+ * to notify us about various planning information regarding joins. We use
+ * it to learn about the joining column.
+ */
+void
+multi_join_restriction_hook(PlannerInfo *root,
+							RelOptInfo *joinrel,
+							RelOptInfo *outerrel,
+							RelOptInfo *innerrel,
+							JoinType jointype,
+							JoinPathExtraData *extra)
+{
+	JoinRestrictionContext *joinContext = NULL;
+	JoinRestriction *joinRestriction = palloc0(sizeof(JoinRestriction));
+	List *restrictInfoList = NIL;
+
+	restrictInfoList = extra->restrictlist;
+	joinContext = CurrentJoinRestrictionContext();
+	Assert(joinContext != NULL);
+
+	joinRestriction->joinType = jointype;
+	joinRestriction->joinRestrictInfoList = restrictInfoList;
+	joinRestriction->plannerInfo = root;
+
+
+	joinContext->joinRestrictionList =
+		lappend(joinContext->joinRestrictionList, joinRestriction);
+}
+
+
 /*
  * multi_relation_restriction_hook is a hook called by postgresql standard planner
  * to notify us about various planning information regarding a relation. We use
@@ -599,8 +678,16 @@ multi_relation_restriction_hook(PlannerInfo *root, RelOptInfo *relOptInfo, Index
 	relationRestriction->relOptInfo = relOptInfo;
 	relationRestriction->distributedRelation = distributedTable;
 	relationRestriction->plannerInfo = root;
+	relationRestriction->parentPlannerInfo = root->parent_root;
 	relationRestriction->prunedShardIntervalList = NIL;
 
+	/* see comments on GetVarFromAssignedParam() */
+	if (relationRestriction->parentPlannerInfo)
+	{
+		relationRestriction->parentPlannerParamList =
+			CopyPlanParamList(root->parent_root->plan_params);
+	}
+
 	restrictionContext->hasDistributedRelation |= distributedTable;
 	restrictionContext->hasLocalRelation |= localTable;
 
@@ -621,23 +708,65 @@ multi_relation_restriction_hook(PlannerInfo *root, RelOptInfo *relOptInfo, Index
 }
 
 
+/* GetRTEIdentity returns the identity assigned with AssignRTEIdentity. */
+int
+GetRTEIdentity(RangeTblEntry *rte)
+{
+	Assert(rte->rtekind == RTE_RELATION);
+	Assert(IsA(rte->values_lists, IntList));
+	Assert(list_length(rte->values_lists) == 1);
+
+	return linitial_int(rte->values_lists);
+}
+
+
 /*
- * CreateAndPushRestrictionContext creates a new restriction context, inserts it to the
- * beginning of the context list, and returns the newly created context.
+ * CopyPlanParamList deep copies the input PlannerParamItem list and returns the newly
+ * allocated list.
+ * Note that we cannot use copyObject() function directly since there is no support for
+ * copying PlannerParamItem structs.
  */
-static RelationRestrictionContext *
-CreateAndPushRestrictionContext(void)
+static List *
+CopyPlanParamList(List *originalPlanParamList)
+{
+	ListCell *planParamCell = NULL;
+	List *copiedPlanParamList = NIL;
+
+	foreach(planParamCell, originalPlanParamList)
+	{
+		PlannerParamItem *originalParamItem = lfirst(planParamCell);
+		PlannerParamItem *copiedParamItem = makeNode(PlannerParamItem);
+
+		copiedParamItem->paramId = originalParamItem->paramId;
+		copiedParamItem->item = copyObject(originalParamItem->item);
+
+		copiedPlanParamList = lappend(copiedPlanParamList, copiedParamItem);
+	}
+
+	return copiedPlanParamList;
+}
+
+
+/*
+ * CreateAndPushPlannerContextes creates a new restriction context and a new join context,
+ * inserts it to the beginning of the respective context lists.
+ */
+static void
+CreateAndPushPlannerContexts(void)
 {
 	RelationRestrictionContext *restrictionContext =
 		palloc0(sizeof(RelationRestrictionContext));
 
+	JoinRestrictionContext *joinContext =
+		palloc0(sizeof(JoinRestrictionContext));
+
 	/* we'll apply logical AND as we add tables */
 	restrictionContext->allReferenceTables = true;
 
 	relationRestrictionContextList = lcons(restrictionContext,
 										   relationRestrictionContextList);
-
-	return restrictionContext;
+	joinRestrictionContextList = lcons(joinContext,
+									   joinRestrictionContextList);
 }
 
 
@@ -660,13 +789,31 @@ CurrentRestrictionContext(void)
 
 
 /*
- * PopRestrictionContext removes the most recently added restriction context from
- * context list. The function assumes the list is not empty.
+ * CurrentRestrictionContext returns the the last restriction context from the
+ * list.
+ */
+static JoinRestrictionContext *
+CurrentJoinRestrictionContext(void)
+{
+	JoinRestrictionContext *joinContext = NULL;
+
+	Assert(joinRestrictionContextList != NIL);
+
+	joinContext = (JoinRestrictionContext *) linitial(joinRestrictionContextList);
+
+	return joinContext;
+}
+
+
+/*
+ * PopRestrictionContexts removes the most recently added restriction contexts from
+ * the restriction and join context lists. The function assumes the lists are not empty.
  */
 static void
-PopRestrictionContext(void)
+PopRestrictionContexts(void)
 {
 	relationRestrictionContextList = list_delete_first(relationRestrictionContextList);
+	joinRestrictionContextList = list_delete_first(joinRestrictionContextList);
 }
 
 
@@ -694,12 +841,6 @@ HasUnresolvedExternParamsWalker(Node *expression, ParamListInfo boundParams)
 			return false;
 		}
 
-		/* don't care about our special parameter, it'll be removed during planning */
-		if (paramId == UNINSTANTIATED_PARAMETER_ID)
-		{
-			return false;
-		}
-
 		/* check whether parameter is available (and valid) */
 		if (boundParams && paramId > 0 && paramId <= boundParams->numParams)
 		{
diff --git a/src/backend/distributed/planner/multi_router_planner.c b/src/backend/distributed/planner/multi_router_planner.c
index 50f3e2e07..8ec97b52a 100644
--- a/src/backend/distributed/planner/multi_router_planner.c
+++ b/src/backend/distributed/planner/multi_router_planner.c
@@ -48,6 +48,8 @@
 #include "nodes/pg_list.h"
 #include "nodes/primnodes.h"
 #include "optimizer/clauses.h"
+#include "optimizer/joininfo.h"
+#include "optimizer/pathnode.h"
 #include "optimizer/paths.h"
 #include "optimizer/predtest.h"
 #include "optimizer/restrictinfo.h"
@@ -74,6 +76,8 @@ typedef struct WalkerState
 } WalkerState;
 
 bool EnableRouterExecution = true;
+static uint32 attributeEquivalenceId = 1;
+
 
 /* planner functions forward declarations */
 static MultiPlan * CreateSingleTaskRouterPlan(Query *originalQuery,
@@ -82,14 +86,43 @@ static MultiPlan * CreateSingleTaskRouterPlan(Query *originalQuery,
 											  restrictionContext);
 static MultiPlan * CreateInsertSelectRouterPlan(Query *originalQuery,
 												RelationRestrictionContext *
-												restrictionContext);
+												restrictionContext,
+												JoinRestrictionContext *
+												joinRestrictionContext);
+static bool AllRelationsJoinedOnPartitionKey(RelationRestrictionContext
+											 *restrictionContext,
+											 JoinRestrictionContext *
+											 joinRestrictionContext);
+static List * PartitionKeyEquivalenceClassList(List *attributeEquivalenceClassList);
+static uint32 ReferenceRelationCount(RelationRestrictionContext *restrictionContext);
+static List * GenerateAttributeEquivalencesForRelationRestrictions(
+	RelationRestrictionContext *restrictionContext);
+static AttributeEquivalenceClass * AttributeEquivalenceClassForEquivalenceClass(
+	EquivalenceClass *plannerEqClass, RelationRestriction *relationRestriction);
+static void AddToAttributeEquivalenceClass(PlannerInfo *root, Var *varToBeAdded,
+										   AttributeEquivalenceClass **
+										   attributeEquivalanceClass);
+static Var * GetVarFromAssignedParam(List *parentPlannerParamList,
+									 Param *plannerParam);
+static List * GenerateAttributeEquivalencesForJoinRestrictions(JoinRestrictionContext
+															   *joinRestrictionContext);
+static bool AttributeClassContainsAttributeClassMember(AttributeEquivalenceClassMember *
+													   inputMember,
+													   AttributeEquivalenceClass *
+													   attributeEquivalenceClass);
+static AttributeEquivalenceClass * GenerateCommonEquivalence(List *
+															 attributeEquivalenceList);
+static void ListConcatUniqueAttributeClassMemberLists(AttributeEquivalenceClass **
+													  firstClass,
+													  AttributeEquivalenceClass *
+													  secondClass);
 static Task * RouterModifyTaskForShardInterval(Query *originalQuery,
 											   ShardInterval *shardInterval,
 											   RelationRestrictionContext *
 											   restrictionContext,
-											   uint32 taskIdIndex);
-static List * HashedShardIntervalOpExpressions(ShardInterval *shardInterval);
-static Param * UninstantiatedParameterForColumn(Var *relationPartitionKey);
+											   uint32 taskIdIndex,
+											   bool allRelationsJoinedOnPartitionKey);
+static List * ShardIntervalOpExpressions(ShardInterval *shardInterval, Index rteIndex);
 static bool MasterIrreducibleExpression(Node *expression, bool *varArgument,
 										bool *badCoalesce);
 static bool MasterIrreducibleExpressionWalker(Node *expression, WalkerState *state);
@@ -129,7 +162,6 @@ static DeferredErrorMessage * InsertPartitionColumnMatchesSelect(Query *query,
 																 subqueryRte,
 																 Oid *
 																 selectPartitionColumnTableId);
-static void AddUninstantiatedEqualityQual(Query *query, Var *targetPartitionColumnVar);
 static DeferredErrorMessage * ErrorIfQueryHasModifyingCTE(Query *queryTree);
 
 
@@ -165,11 +197,13 @@ CreateRouterPlan(Query *originalQuery, Query *query,
  */
 MultiPlan *
 CreateModifyPlan(Query *originalQuery, Query *query,
-				 RelationRestrictionContext *restrictionContext)
+				 RelationRestrictionContext *restrictionContext,
+				 JoinRestrictionContext *joinRestrictionContext)
 {
 	if (InsertSelectQuery(originalQuery))
 	{
-		return CreateInsertSelectRouterPlan(originalQuery, restrictionContext);
+		return CreateInsertSelectRouterPlan(originalQuery, restrictionContext,
+											joinRestrictionContext);
 	}
 	else
 	{
@@ -258,7 +292,8 @@ CreateSingleTaskRouterPlan(Query *originalQuery, Query *query,
  */
 static MultiPlan *
 CreateInsertSelectRouterPlan(Query *originalQuery,
-							 RelationRestrictionContext *restrictionContext)
+							 RelationRestrictionContext *restrictionContext,
+							 JoinRestrictionContext *joinRestrictionContext)
 {
 	int shardOffset = 0;
 	List *sqlTaskList = NIL;
@@ -272,6 +307,7 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
 	DistTableCacheEntry *targetCacheEntry = DistributedTableCacheEntry(targetRelationId);
 	int shardCount = targetCacheEntry->shardIntervalArrayLength;
 	bool allReferenceTables = restrictionContext->allReferenceTables;
+	bool allRelationsJoinedOnPartitionKey = false;
 
 	multiPlan->operation = originalQuery->commandType;
 
@@ -287,6 +323,9 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
 		return multiPlan;
 	}
 
+	allRelationsJoinedOnPartitionKey =
+		AllRelationsJoinedOnPartitionKey(restrictionContext, joinRestrictionContext);
+
 	/*
 	 * Plan select query for each shard in the target table. Do so by replacing the
 	 * partitioning qual parameter added in multi_planner() using the current shard's
@@ -303,7 +342,8 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
 		Task *modifyTask = NULL;
 
 		modifyTask = RouterModifyTaskForShardInterval(originalQuery, targetShardInterval,
-													  restrictionContext, taskIdIndex);
+													  restrictionContext, taskIdIndex,
+													  allRelationsJoinedOnPartitionKey);
 
 		/* add the task if it could be created */
 		if (modifyTask != NULL)
@@ -340,6 +380,706 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
 }
 
 
+/*
+ * AllRelationsJoinedOnPartitionKey aims to deduce whether each of the RTE_RELATION
+ * is joined with at least on another RTE_RELATION on their partition keys. If each
+ * RTE_RELATION follows the above rule, we can conclude that all RTE_RELATIONs are
+ * joined on their partition keys.
+ *
+ * In order to do that, we invented a new equivalence class namely:
+ * AttributeEquivalenceClass. In very simple words, a AttributeEquivalenceClass is
+ * identified by an unique id and consists of a list of AttributeEquivalenceMembers.
+ *
+ * Each AttributeEquivalenceMember is designed to identify attributes uniquely within the
+ * whole query. The necessity of this arise since varno attributes are defined within
+ * a single level of a query. Instead, here we want to identify each RTE_RELATION uniquely
+ * and try to find equality among each RTE_RELATION's partition key.
+ *
+ * Each equality among RTE_RELATION is saved using an AttributeEquivalenceClass where
+ * each member attribute is identified by a AttributeEquivalenceMember. In the final
+ * step, we try generate a common attribute equivalence class that holds as much as
+ * AttributeEquivalenceMembers whose attributes are a partition keys.
+ *
+ * AllRelationsJoinedOnPartitionKey uses both relation restrictions and join restrictions
+ * to find as much as information that Postgres planner provides to extensions. For the
+ * details of the usage, please see GenerateAttributeEquivalencesForRelationRestrictions()
+ * and GenerateAttributeEquivalencesForJoinRestrictions()
+ *
+ * Finally, as the name of the function reveals, the function returns true if all relations
+ * are joined on their partition keys. Otherwise, the function returns false.
+ */
+static bool
+AllRelationsJoinedOnPartitionKey(RelationRestrictionContext *restrictionContext,
+								 JoinRestrictionContext *joinRestrictionContext)
+{
+	List *relationRestrictionAttributeEquivalenceList = NIL;
+	List *joinRestrictionAttributeEquivalenceList = NIL;
+	List *allAttributeEquivalenceList = NIL;
+	List *partitionKeyEquivalenceList = NIL;
+	AttributeEquivalenceClass *commonEquivalenceClass = NULL;
+	bool allRelationsJoinedOnPartitionKey = true;
+	uint32 referenceRelationCount = ReferenceRelationCount(restrictionContext);
+	uint32 totalRelationCount = list_length(restrictionContext->relationRestrictionList);
+
+	ListCell *commonEqClassCell = NULL;
+	ListCell *relationRestrictionCell = NULL;
+	Relids commonRteIdentities = NULL;
+
+	/*
+	 * If there are no JOINs between non-reference tables, we shouldn't
+	 * bother about them.
+	 */
+	if (totalRelationCount - referenceRelationCount <= 1)
+	{
+		return true;
+	}
+
+	/* reset the equivalence id counter per call to prevent overflows */
+	attributeEquivalenceId = 1;
+
+	relationRestrictionAttributeEquivalenceList =
+		GenerateAttributeEquivalencesForRelationRestrictions(restrictionContext);
+	joinRestrictionAttributeEquivalenceList =
+		GenerateAttributeEquivalencesForJoinRestrictions(joinRestrictionContext);
+
+	allAttributeEquivalenceList =
+		list_concat(relationRestrictionAttributeEquivalenceList,
+					joinRestrictionAttributeEquivalenceList);
+
+	/* filter out non-partition key equivalences */
+	partitionKeyEquivalenceList =
+		PartitionKeyEquivalenceClassList(allAttributeEquivalenceList);
+
+	/*
+	 * In general we're trying to expand existing the equivalence classes to find a
+	 * common equivalence class. The main goal is to test whether this main class
+	 * contains all partition keys of the existing relations.
+	 */
+	commonEquivalenceClass = GenerateCommonEquivalence(partitionKeyEquivalenceList);
+
+	/* add the rte indexes of relations to a bitmap */
+	foreach(commonEqClassCell, commonEquivalenceClass->equivalentAttributes)
+	{
+		AttributeEquivalenceClassMember *classMember = lfirst(commonEqClassCell);
+		int rteIdentity = classMember->rteIdendity;
+
+		commonRteIdentities = bms_add_member(commonRteIdentities, rteIdentity);
+	}
+
+	/* check whether all relations exists in the main restriction list */
+	foreach(relationRestrictionCell, restrictionContext->relationRestrictionList)
+	{
+		RelationRestriction *relationRestriction = lfirst(relationRestrictionCell);
+		int rteIdentity = GetRTEIdentity(relationRestriction->rte);
+
+		if (PartitionKey(relationRestriction->relationId) &&
+			!bms_is_member(rteIdentity, commonRteIdentities))
+		{
+			allRelationsJoinedOnPartitionKey = false;
+			break;
+		}
+	}
+
+	return allRelationsJoinedOnPartitionKey;
+}
+
+
+/*
+ * PartitionKeyEquivalenceClassList gets a list of atrribute equivalences. Then, filters
+ * out the ones whose all members are not partition keys. The function skips reference
+ * tables.
+ */
+static List *
+PartitionKeyEquivalenceClassList(List *attributeEquivalenceClassList)
+{
+	ListCell *attributeEquivalenceClassCell = NULL;
+	List *partitionKeyEquivalencClassList = NIL;
+
+	foreach(attributeEquivalenceClassCell, attributeEquivalenceClassList)
+	{
+		AttributeEquivalenceClass *attributeEquivalenceClass =
+			(AttributeEquivalenceClass *) lfirst(attributeEquivalenceClassCell);
+		ListCell *equivalenceMemberCell = NULL;
+		bool allPartitionKeys = true;
+
+		foreach(equivalenceMemberCell, attributeEquivalenceClass->equivalentAttributes)
+		{
+			AttributeEquivalenceClassMember *classMemeber =
+				(AttributeEquivalenceClassMember *) lfirst(equivalenceMemberCell);
+			Var *relationPartitionKey = PartitionKey(classMemeber->relationId);
+
+			/* we don't care about reference tables here */
+			if (!relationPartitionKey)
+			{
+				continue;
+			}
+
+			if (relationPartitionKey->varattno != classMemeber->varattno)
+			{
+				allPartitionKeys = false;
+				break;
+			}
+		}
+
+		if (!allPartitionKeys)
+		{
+			continue;
+		}
+
+		partitionKeyEquivalencClassList = lappend(partitionKeyEquivalencClassList,
+												  attributeEquivalenceClass);
+	}
+
+	return partitionKeyEquivalencClassList;
+}
+
+
+/*
+ * ReferenceRelationCount iterates over the relations and returns the reference table
+ * relation count.
+ */
+static uint32
+ReferenceRelationCount(RelationRestrictionContext *restrictionContext)
+{
+	ListCell *relationRestrictionCell = NULL;
+	uint32 referenceRelationCount = 0;
+
+	foreach(relationRestrictionCell, restrictionContext->relationRestrictionList)
+	{
+		RelationRestriction *relationRestriction = lfirst(relationRestrictionCell);
+
+		if (PartitionMethod(relationRestriction->relationId) == DISTRIBUTE_BY_NONE)
+		{
+			referenceRelationCount++;
+		}
+	}
+
+	return referenceRelationCount;
+}
+
+
+/*
+ * GenerateAttributeEquivalencesForRelationRestrictions gets a relation restriction
+ * context and returns a list of AttributeEquivalenceClass.
+ *
+ * The algorithm followed can be summarized as below:
+ *
+ * - Per relation restriction
+ *     - Per plannerInfo's eq_class
+ *         - Create an AttributeEquivalenceClass
+ *         - Add all Vars that appear in the plannerInfo's
+ *           eq_class to the AttributeEquivalenceClass
+ *               - While doing that, consider LATERAL vars as well.
+ *                 See GetVarFromAssignedParam() for the details. Note
+ *                 that we're using parentPlannerInfo while adding the
+ *                 LATERAL vars given that we rely on that plannerInfo.
+ *
+ * Note that this function does not deal with whether the member of eq_classes
+ * are partition key or not. That's handled later in the planning.
+ */
+static List *
+GenerateAttributeEquivalencesForRelationRestrictions(RelationRestrictionContext
+													 *restrictionContext)
+{
+	List *attributeEquivalenceList = NIL;
+	ListCell *relationRestrictionCell = NULL;
+
+	foreach(relationRestrictionCell, restrictionContext->relationRestrictionList)
+	{
+		RelationRestriction *relationRestriction = lfirst(relationRestrictionCell);
+		List *equivalenceClasses = relationRestriction->plannerInfo->eq_classes;
+		ListCell *equivilanceClassCell = NULL;
+
+		foreach(equivilanceClassCell, equivalenceClasses)
+		{
+			EquivalenceClass *plannerEqClass = lfirst(equivilanceClassCell);
+
+			AttributeEquivalenceClass *attributeEquivalance =
+				AttributeEquivalenceClassForEquivalenceClass(plannerEqClass,
+															 relationRestriction);
+
+			attributeEquivalenceList = lappend(attributeEquivalenceList,
+											   attributeEquivalance);
+		}
+	}
+
+	return attributeEquivalenceList;
+}
+
+
+/*
+ * AttributeEquivalenceClassForEquivalenceClass is a helper function for
+ * GenerateAttributeEquivalencesForRelationRestrictions. The function takes an
+ * EquivalenceClass and the relation restriction that the equivalence class
+ * belongs to. The function returns an AttributeEquivalenceClass that is composed
+ * of ec_members that are simple Var references.
+ *
+ * The function also takes case of LATERAL joins by simply replacing the PARAM_EXEC
+ * with the corresponding expression.
+ */
+static AttributeEquivalenceClass *
+AttributeEquivalenceClassForEquivalenceClass(EquivalenceClass *plannerEqClass,
+											 RelationRestriction *relationRestriction)
+{
+	AttributeEquivalenceClass *attributeEquivalance =
+		palloc0(sizeof(AttributeEquivalenceClass));
+	ListCell *equivilanceMemberCell = NULL;
+	PlannerInfo *plannerInfo = relationRestriction->plannerInfo;
+
+	attributeEquivalance->equivalenceId = attributeEquivalenceId++;
+
+	foreach(equivilanceMemberCell, plannerEqClass->ec_members)
+	{
+		EquivalenceMember *equivalenceMember = lfirst(equivilanceMemberCell);
+		Node *equivalenceNode = strip_implicit_coercions(
+			(Node *) equivalenceMember->em_expr);
+		Expr *strippedEquivalenceExpr = (Expr *) equivalenceNode;
+
+		Var *expressionVar = NULL;
+
+		if (IsA(strippedEquivalenceExpr, Param))
+		{
+			List *parentParamList = relationRestriction->parentPlannerParamList;
+			Param *equivalenceParam = (Param *) strippedEquivalenceExpr;
+
+			expressionVar = GetVarFromAssignedParam(parentParamList,
+													equivalenceParam);
+			if (expressionVar)
+			{
+				AddToAttributeEquivalenceClass(
+					relationRestriction->parentPlannerInfo,
+					expressionVar,
+					&attributeEquivalance);
+			}
+		}
+		else if (IsA(strippedEquivalenceExpr, Var))
+		{
+			expressionVar = (Var *) strippedEquivalenceExpr;
+			AddToAttributeEquivalenceClass(plannerInfo, expressionVar,
+										   &attributeEquivalance);
+		}
+	}
+
+	return attributeEquivalance;
+}
+
+
+/*
+ *
+ * GetVarFromAssignedParam returns the Var that is assigned to the given
+ * plannerParam if its kind is PARAM_EXEC.
+ *
+ * If the paramkind is not equal to PARAM_EXEC the function returns NULL. Similarly,
+ * if there is no var that the given param is assigned to, the function returns NULL.
+ *
+ * Rationale behind this function:
+ *
+ *   While iterating through the equivalence classes of RTE_RELATIONs, we
+ *   observe that there are PARAM type of equivalence member expressions for
+ *   the RTE_RELATIONs which actually belong to lateral vars from the other query
+ *   levels.
+ *
+ *   We're also keeping track of the RTE_RELATION's parent_root's
+ *   plan_param list which is expected to hold the parameters that are required
+ *   for its lower level queries as it is documented:
+ *
+ *        plan_params contains the expressions that this query level needs to
+ *        make available to a lower query level that is currently being planned.
+ *
+ *   This function is a helper function to iterate through the parent query's
+ *   plan_params and looks for the param that the equivalence member has. The
+ *   comparison is done via the "paramid" field. Finally, if the found parameter's
+ *   item is a Var, we conclude that Postgres standard_planner replaced the Var
+ *   with the Param on assign_param_for_var() function
+ *   @src/backend/optimizer//plan/subselect.c.
+ *
+ */
+static Var *
+GetVarFromAssignedParam(List *parentPlannerParamList, Param *plannerParam)
+{
+	Var *assignedVar = NULL;
+	ListCell *plannerParameterCell = NULL;
+
+	Assert(plannerParam != NULL);
+
+	/* we're only interested in parameters that Postgres added for execution */
+	if (plannerParam->paramkind != PARAM_EXEC)
+	{
+		return NULL;
+	}
+
+	foreach(plannerParameterCell, parentPlannerParamList)
+	{
+		PlannerParamItem *plannerParamItem = lfirst(plannerParameterCell);
+
+		if (plannerParamItem->paramId != plannerParam->paramid)
+		{
+			continue;
+		}
+
+		/* TODO: Should we consider PlaceHolderVar?? */
+		if (!IsA(plannerParamItem->item, Var))
+		{
+			continue;
+		}
+
+		assignedVar = (Var *) plannerParamItem->item;
+
+		break;
+	}
+
+	return assignedVar;
+}
+
+
+/*
+ * GenerateCommonEquivalence gets a list of unrelated AttributeEquiavalanceClass
+ * whose all members are partition keys.
+ *
+ * With the equivalence classes, the function follows the algorithm
+ * outlined below:
+ *
+ *     - Add the first equivalence class to the common equivalence class
+ *     - Then, iterate on the remaining equivalence classes
+ *          - If any of the members equal to the common equivalence class
+ *            add all the members of the equivalence class to the common
+ *            class
+ *          - Start the iteration from the beginning. The reason is that
+ *            in case any of the classes we've passed is equivalent to the
+ *            newly added one. To optimize the algorithm, we utilze the
+ *            equivalence class ids and skip the ones that are already added.
+ *      - Finally, return the common equivalence class.
+ */
+static AttributeEquivalenceClass *
+GenerateCommonEquivalence(List *attributeEquivalenceList)
+{
+	AttributeEquivalenceClass *commonEquivalenceClass = NULL;
+	AttributeEquivalenceClass *firstEquivalenceClass = NULL;
+	Bitmapset *addedEquivalenceIds = NULL;
+	uint32 equivalenceListSize = list_length(attributeEquivalenceList);
+	uint32 equivalenceClassIndex = 0;
+
+	commonEquivalenceClass = palloc0(sizeof(AttributeEquivalenceClass));
+	commonEquivalenceClass->equivalenceId = 0;
+
+	/* think more on this. */
+	if (equivalenceListSize < 1)
+	{
+		return commonEquivalenceClass;
+	}
+
+	/* setup the initial state of the main equivalence class */
+	firstEquivalenceClass = linitial(attributeEquivalenceList);
+	commonEquivalenceClass->equivalentAttributes =
+		firstEquivalenceClass->equivalentAttributes;
+	addedEquivalenceIds = bms_add_member(addedEquivalenceIds,
+										 firstEquivalenceClass->equivalenceId);
+
+	for (; equivalenceClassIndex < equivalenceListSize; ++equivalenceClassIndex)
+	{
+		AttributeEquivalenceClass *currentEquivalenceClass =
+			list_nth(attributeEquivalenceList, equivalenceClassIndex);
+		ListCell *equivalenceMemberCell = NULL;
+
+		/*
+		 * This is an optimization. If we already added the same equivalence class,
+		 * we could skip it since we've already added all the relevant equivalence
+		 * members.
+		 */
+		if (bms_overlap(addedEquivalenceIds,
+						bms_make_singleton(currentEquivalenceClass->equivalenceId)))
+		{
+			continue;
+		}
+
+		foreach(equivalenceMemberCell, currentEquivalenceClass->equivalentAttributes)
+		{
+			AttributeEquivalenceClassMember *attributeEquialanceMember =
+				(AttributeEquivalenceClassMember *) lfirst(equivalenceMemberCell);
+
+			if (AttributeClassContainsAttributeClassMember(attributeEquialanceMember,
+														   commonEquivalenceClass))
+			{
+				ListConcatUniqueAttributeClassMemberLists(&commonEquivalenceClass,
+														  currentEquivalenceClass);
+
+				addedEquivalenceIds = bms_add_member(addedEquivalenceIds,
+													 currentEquivalenceClass->
+													 equivalenceId);
+
+				/*
+				 * It seems inefficient to start from the beginning.
+				 * But, we should somehow restart from the beginning to test that
+				 * whether the already skipped ones are equal or not.
+				 */
+				equivalenceClassIndex = 0;
+
+				break;
+			}
+		}
+	}
+
+	return commonEquivalenceClass;
+}
+
+
+/*
+ * ListConcatUniqueAttributeClassMemberLists gets two attribute equivalence classes. It
+ * basically concatenates attribute equivalence member lists uniquely and updates the
+ * firstClass' member list with the list.
+ *
+ * Basically, the function iterates over the secondClass' member list and checks whether
+ * it already exists in the firstClass' member list. If not, the member is added to the
+ * firstClass.
+ */
+static void
+ListConcatUniqueAttributeClassMemberLists(AttributeEquivalenceClass **firstClass,
+										  AttributeEquivalenceClass *secondClass)
+{
+	ListCell *equivalenceClassMemberCell = NULL;
+	List *equivalenceMemberList = secondClass->equivalentAttributes;
+
+	foreach(equivalenceClassMemberCell, equivalenceMemberList)
+	{
+		AttributeEquivalenceClassMember *newEqMember = lfirst(equivalenceClassMemberCell);
+
+		if (AttributeClassContainsAttributeClassMember(newEqMember, *firstClass))
+		{
+			continue;
+		}
+
+		(*firstClass)->equivalentAttributes = lappend((*firstClass)->equivalentAttributes,
+													  newEqMember);
+	}
+}
+
+
+/*
+ * GenerateAttributeEquivalencesForJoinRestrictions gets a join restriction
+ * context and returns a list of AttrributeEquivalenceClass.
+ *
+ * The algorithm followed can be summarized as below:
+ *
+ * - Per join restriction
+ *     - Per RestrictInfo of the join restriction
+ *     - Check whether the join restriction is in the form of (Var1 = Var2)
+ *         - Create an AttributeEquivalenceClass
+ *         - Add both Var1 and Var2 to the AttributeEquivalenceClass
+ *
+ * Note that this function does not deal with whether the member of restriction
+ * are partition key or not. That's handled later in the planning.
+ */
+static List *
+GenerateAttributeEquivalencesForJoinRestrictions(JoinRestrictionContext *
+												 joinRestrictionContext)
+{
+	List *attributeEquivalenceList = NIL;
+	ListCell *joinRestrictionCell = NULL;
+
+	foreach(joinRestrictionCell, joinRestrictionContext->joinRestrictionList)
+	{
+		JoinRestriction *joinRestriction = lfirst(joinRestrictionCell);
+		ListCell *restrictionInfoList = NULL;
+
+		foreach(restrictionInfoList, joinRestriction->joinRestrictInfoList)
+		{
+			RestrictInfo *rinfo = (RestrictInfo *) lfirst(restrictionInfoList);
+			OpExpr *restrictionOpExpr = NULL;
+			Node *leftNode = NULL;
+			Node *rightNode = NULL;
+			Expr *strippedLeftExpr = NULL;
+			Expr *strippedRightExpr = NULL;
+			Var *leftVar = NULL;
+			Var *rightVar = NULL;
+			Expr *restrictionClause = rinfo->clause;
+			AttributeEquivalenceClass *attributeEquivalance = NULL;
+
+			if (!IsA(restrictionClause, OpExpr))
+			{
+				continue;
+			}
+
+			restrictionOpExpr = (OpExpr *) restrictionClause;
+			if (list_length(restrictionOpExpr->args) != 2)
+			{
+				continue;
+			}
+			if (!OperatorImplementsEquality(restrictionOpExpr->opno))
+			{
+				continue;
+			}
+
+			leftNode = linitial(restrictionOpExpr->args);
+			rightNode = lsecond(restrictionOpExpr->args);
+
+			/* we also don't want implicit coercions */
+			strippedLeftExpr = (Expr *) strip_implicit_coercions((Node *) leftNode);
+			strippedRightExpr = (Expr *) strip_implicit_coercions((Node *) rightNode);
+
+			if (!(IsA(strippedLeftExpr, Var) && IsA(strippedRightExpr, Var)))
+			{
+				continue;
+			}
+
+			leftVar = (Var *) strippedLeftExpr;
+			rightVar = (Var *) strippedRightExpr;
+
+			attributeEquivalance = palloc0(sizeof(AttributeEquivalenceClass));
+			attributeEquivalance->equivalenceId = attributeEquivalenceId++;
+
+			/* we could (probably) safely do that since we disallowed ANTI JOINs ? */
+			AddToAttributeEquivalenceClass(joinRestriction->plannerInfo, leftVar,
+										   &attributeEquivalance);
+			AddToAttributeEquivalenceClass(joinRestriction->plannerInfo, rightVar,
+										   &attributeEquivalance);
+
+			attributeEquivalenceList = lappend(attributeEquivalenceList,
+											   attributeEquivalance);
+		}
+	}
+
+	return attributeEquivalenceList;
+}
+
+
+/*
+ * AddToAttributeEquivalenceClass is a key function for building the attribute
+ * equivalences. The function gets a plannerInfo, var and attribute equivalence
+ * class. It searches for the RTE_RELATION(s) that the input var belongs to and
+ * adds the found Var(s) to the input attribute equivalence class.
+ *
+ * Note that the input var could come from a subquery (i.e., not directly from an
+ * RTE_RELATION). That's the reason we recursively call the function until the
+ * RTE_RELATION found.
+ *
+ * The algorithm could be summarized as follows:
+ *
+ *    - If the RTE that corresponds to a relation
+ *        - Generate an AttributeEquivalenceMember and add to the input
+ *          AttributeEquivalenceClass
+ *    - If the RTE that corresponds to a subquery
+ *        - Find the corresponding target entry via varno
+ *        - if subquery entry is a set operation (i.e., only UNION/UNION ALL allowed)
+ *             - recursively add both left and right sides of the set operation's
+ *               corresponding target entries
+ *        - if subquery is not a set operation
+ *             - recursively try to add the corresponding target entry to the
+ *               equivalence class
+ */
+static void
+AddToAttributeEquivalenceClass(PlannerInfo *root, Var *varToBeAdded,
+							   AttributeEquivalenceClass **attributeEquivalanceClass)
+{
+	RangeTblEntry *rangeTableEntry = root->simple_rte_array[varToBeAdded->varno];
+
+	if (rangeTableEntry->rtekind == RTE_RELATION)
+	{
+		AttributeEquivalenceClassMember *attributeEqMember =
+			palloc0(sizeof(AttributeEquivalenceClassMember));
+
+		attributeEqMember->varattno = varToBeAdded->varattno;
+		attributeEqMember->varno = varToBeAdded->varno;
+		attributeEqMember->rteIdendity = GetRTEIdentity(rangeTableEntry);
+		attributeEqMember->relationId = rangeTableEntry->relid;
+
+		(*attributeEquivalanceClass)->equivalentAttributes =
+			lappend((*attributeEquivalanceClass)->equivalentAttributes,
+					attributeEqMember);
+	}
+	else if (rangeTableEntry->rtekind == RTE_SUBQUERY && !rangeTableEntry->inh)
+	{
+		Query *subquery = rangeTableEntry->subquery;
+		RelOptInfo *baseRelOptInfo = NULL;
+		TargetEntry *subqueryTargetEntry = NULL;
+
+		/* punt if it's a whole-row var rather than a plain column reference */
+		if (varToBeAdded->varattno == InvalidAttrNumber)
+		{
+			return;
+		}
+
+		baseRelOptInfo = find_base_rel(root, varToBeAdded->varno);
+
+		/* If the subquery hasn't been planned yet, we have to punt */
+		if (baseRelOptInfo->subroot == NULL)
+		{
+			return;
+		}
+
+		Assert(IsA(baseRelOptInfo->subroot, PlannerInfo));
+
+		subquery = baseRelOptInfo->subroot->parse;
+		Assert(IsA(subquery, Query));
+
+		/* Get the subquery output expression referenced by the upper Var */
+		subqueryTargetEntry = get_tle_by_resno(subquery->targetList,
+											   varToBeAdded->varattno);
+		if (subqueryTargetEntry == NULL || subqueryTargetEntry->resjunk)
+		{
+			ereport(ERROR, (errcode(ERRCODE_OBJECT_NOT_IN_PREREQUISITE_STATE),
+							errmsg("subquery %s does not have attribute %d",
+								   rangeTableEntry->eref->aliasname,
+								   varToBeAdded->varattno)));
+		}
+
+		if (!IsA(subqueryTargetEntry->expr, Var))
+		{
+			return;
+		}
+
+		varToBeAdded = (Var *) subqueryTargetEntry->expr;
+
+		/* we need to handle set operations separately */
+		if (subquery->setOperations)
+		{
+			SetOperationStmt *unionStatement =
+				(SetOperationStmt *) subquery->setOperations;
+
+			RangeTblRef *leftRangeTableReference = (RangeTblRef *) unionStatement->larg;
+			RangeTblRef *rightRangeTableReference = (RangeTblRef *) unionStatement->rarg;
+
+			varToBeAdded->varno = leftRangeTableReference->rtindex;
+			AddToAttributeEquivalenceClass(baseRelOptInfo->subroot, varToBeAdded,
+										   attributeEquivalanceClass);
+
+			varToBeAdded->varno = rightRangeTableReference->rtindex;
+			AddToAttributeEquivalenceClass(baseRelOptInfo->subroot, varToBeAdded,
+										   attributeEquivalanceClass);
+		}
+		else if (varToBeAdded && IsA(varToBeAdded, Var) && varToBeAdded->varlevelsup == 0)
+		{
+			AddToAttributeEquivalenceClass(baseRelOptInfo->subroot, varToBeAdded,
+										   attributeEquivalanceClass);
+		}
+	}
+}
+
+
+/*
+ * AttributeClassContainsAttributeClassMember returns true if it the input class member
+ * is already exists in the attributeEquivalenceClass. An equality is identified by the
+ * varattno and rteIdentity.
+ */
+static bool
+AttributeClassContainsAttributeClassMember(AttributeEquivalenceClassMember *inputMember,
+										   AttributeEquivalenceClass *
+										   attributeEquivalenceClass)
+{
+	ListCell *classCell = NULL;
+	foreach(classCell, attributeEquivalenceClass->equivalentAttributes)
+	{
+		AttributeEquivalenceClassMember *memberOfClass = lfirst(classCell);
+		if (memberOfClass->rteIdendity == inputMember->rteIdendity &&
+			memberOfClass->varattno == inputMember->varattno)
+		{
+			return true;
+		}
+	}
+
+	return false;
+}
+
+
 /*
  * RouterModifyTaskForShardInterval creates a modify task by
  * replacing the partitioning qual parameter added in multi_planner()
@@ -354,7 +1094,8 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
 static Task *
 RouterModifyTaskForShardInterval(Query *originalQuery, ShardInterval *shardInterval,
 								 RelationRestrictionContext *restrictionContext,
-								 uint32 taskIdIndex)
+								 uint32 taskIdIndex,
+								 bool allRelationsJoinedOnPartitionKey)
 {
 	Query *copiedQuery = copyObject(originalQuery);
 	RangeTblEntry *copiedInsertRte = ExtractInsertRangeTableEntry(copiedQuery);
@@ -382,6 +1123,7 @@ RouterModifyTaskForShardInterval(Query *originalQuery, ShardInterval *shardInter
 	bool replacePrunedQueryWithDummy = false;
 	bool allReferenceTables = restrictionContext->allReferenceTables;
 	List *hashedOpExpressions = NIL;
+	RestrictInfo *hashedRestrictInfo = NULL;
 
 	/* grab shared metadata lock to stop concurrent placement additions */
 	LockShardDistributionMetadata(shardId, ShareLock);
@@ -394,43 +1136,19 @@ RouterModifyTaskForShardInterval(Query *originalQuery, ShardInterval *shardInter
 	{
 		RelationRestriction *restriction = lfirst(restrictionCell);
 		List *originalBaserestrictInfo = restriction->relOptInfo->baserestrictinfo;
-		Var *relationPartitionKey = PartitionColumn(restriction->relationId,
-													restriction->index);
-		Param *uninstantiatedParameter = NULL;
+		Index rteIndex = restriction->index;
 
-		/*
-		 * We don't need to add restriction to reference tables given that they are
-		 * already single sharded and always prune to that single shard.
-		 */
-		if (PartitionMethod(restriction->relationId) == DISTRIBUTE_BY_NONE)
+		if (!allRelationsJoinedOnPartitionKey || allReferenceTables)
 		{
 			continue;
 		}
 
-		hashedOpExpressions = HashedShardIntervalOpExpressions(shardInterval);
-		Assert(list_length(hashedOpExpressions) == 2);
+		hashedOpExpressions = ShardIntervalOpExpressions(shardInterval, rteIndex);
 
-		/*
-		 * Here we check whether the planner knows an equality between the partition column
-		 * and the uninstantiated parameter. If such an equality exists, we simply add the
-		 * shard restrictions.
-		 */
-		uninstantiatedParameter = UninstantiatedParameterForColumn(relationPartitionKey);
-		if (exprs_known_equal(restriction->plannerInfo, (Node *) relationPartitionKey,
-							  (Node *) uninstantiatedParameter))
-		{
-			RestrictInfo *geRestrictInfo = NULL;
-			RestrictInfo *leRestrictInfo = NULL;
+		hashedRestrictInfo = make_simple_restrictinfo((Expr *) hashedOpExpressions);
+		originalBaserestrictInfo = lappend(originalBaserestrictInfo, hashedRestrictInfo);
 
-			OpExpr *hashedGEOpExpr = (OpExpr *) linitial(hashedOpExpressions);
-			OpExpr *hashedLEOpExpr = (OpExpr *) lsecond(hashedOpExpressions);
-
-			geRestrictInfo = make_simple_restrictinfo((Expr *) hashedGEOpExpr);
-			originalBaserestrictInfo = lappend(originalBaserestrictInfo, geRestrictInfo);
-
-			leRestrictInfo = make_simple_restrictinfo((Expr *) hashedLEOpExpr);
-			originalBaserestrictInfo = lappend(originalBaserestrictInfo, leRestrictInfo);
-		}
+		restriction->relOptInfo->baserestrictinfo = originalBaserestrictInfo;
 	}
 
 	/*
@@ -530,92 +1248,53 @@ RouterModifyTaskForShardInterval(Query *originalQuery, ShardInterval *shardInter
 
 
 /*
- * HashedShardIntervalOpExpressions returns a list of OpExprs with exactly two
- * items in it. The list consists of shard interval ranges with hashed columns
- * such as (hashColumn >= shardMinValue) and (hashedColumn <= shardMaxValue).
+ * ShardIntervalOpExpressions returns a list of OpExprs with exactly two
+ * items in it. The list consists of shard interval ranges with partition columns
+ * such as (partitionColumn >= shardMinValue) and (partitionColumn <= shardMaxValue).
  *
- * The function errors out if the given shard interval does not belong to a hash
- * distributed table.
+ * The function returns hashed columns generated by MakeInt4Column() for the hash
+ * partitioned tables in place of partition columns.
+ *
+ * The function errors out if the given shard interval does not belong to a hash,
+ * range and append distributed tables.
  */
 static List *
-HashedShardIntervalOpExpressions(ShardInterval *shardInterval)
+ShardIntervalOpExpressions(ShardInterval *shardInterval, Index rteIndex)
 {
-	List *operatorExpressions = NIL;
-	Var *hashedGEColumn = NULL;
-	Var *hashedLEColumn = NULL;
-	OpExpr *hashedGEOpExpr = NULL;
-	OpExpr *hashedLEOpExpr = NULL;
-	Oid integer4GEoperatorId = InvalidOid;
-	Oid integer4LEoperatorId = InvalidOid;
-
-	Datum shardMinValue = shardInterval->minValue;
-	Datum shardMaxValue = shardInterval->maxValue;
+	Oid relationId = shardInterval->relationId;
 	char partitionMethod = PartitionMethod(shardInterval->relationId);
+	Var *partitionColumn = NULL;
+	Node *baseConstraint = NULL;
 
-	if (partitionMethod != DISTRIBUTE_BY_HASH)
+	if (partitionMethod == DISTRIBUTE_BY_HASH)
+	{
+		partitionColumn = MakeInt4Column();
+	}
+	else if (partitionMethod == DISTRIBUTE_BY_RANGE || partitionMethod ==
+			 DISTRIBUTE_BY_APPEND)
+	{
+		Assert(rteIndex > 0);
+
+		partitionColumn = PartitionColumn(relationId, rteIndex);
+	}
+	else
 	{
 		ereport(ERROR, (errcode(ERRCODE_INVALID_PARAMETER_VALUE),
 						errmsg("cannot create shard interval operator expression for "
-							   "distributed relations other than hash distributed "
+							   "distributed relations other than hash, range and append distributed "
 							   "relations")));
 	}
 
-	/* get the integer >=, <= operators from the catalog */
-	integer4GEoperatorId = get_opfamily_member(INTEGER_BTREE_FAM_OID, INT4OID,
-											   INT4OID,
-											   BTGreaterEqualStrategyNumber);
-	integer4LEoperatorId = get_opfamily_member(INTEGER_BTREE_FAM_OID, INT4OID,
-											   INT4OID,
-											   BTLessEqualStrategyNumber);
+	/* build the base expression for constraint */
+	baseConstraint = BuildBaseConstraint(partitionColumn);
 
-	/* generate hashed columns */
-	hashedGEColumn = MakeInt4Column();
-	hashedLEColumn = MakeInt4Column();
+	/* walk over shard list and check if shards can be pruned */
+	if (shardInterval->minValueExists && shardInterval->maxValueExists)
+	{
+		UpdateConstraint(baseConstraint, shardInterval);
+	}
 
-	/* generate the necessary operators */
-	hashedGEOpExpr = (OpExpr *) make_opclause(integer4GEoperatorId, InvalidOid, false,
-											  (Expr *) hashedGEColumn,
-											  (Expr *) MakeInt4Constant(shardMinValue),
-											  InvalidOid, InvalidOid);
-
-	hashedLEOpExpr = (OpExpr *) make_opclause(integer4LEoperatorId, InvalidOid, false,
-											  (Expr *) hashedLEColumn,
-											  (Expr *) MakeInt4Constant(shardMaxValue),
-											  InvalidOid, InvalidOid);
-
-	/* update the operators with correct operator numbers and function ids */
-	hashedGEOpExpr->opfuncid = get_opcode(hashedGEOpExpr->opno);
-	hashedGEOpExpr->opresulttype = get_func_rettype(hashedGEOpExpr->opfuncid);
-	operatorExpressions = lappend(operatorExpressions, hashedGEOpExpr);
-
-	hashedLEOpExpr->opfuncid = get_opcode(hashedLEOpExpr->opno);
-	hashedLEOpExpr->opresulttype = get_func_rettype(hashedLEOpExpr->opfuncid);
-	operatorExpressions = lappend(operatorExpressions, hashedLEOpExpr);
-
-	return operatorExpressions;
-}
-
-
-/*
- * UninstantiatedParameterForColumn returns a Param that can be used as an uninstantiated
- * parameter for the given column in the sense that paramtype, paramtypmod and collid
- * is set to the input Var's corresponding values.
- *
- * Note that we're using hard coded UNINSTANTIATED_PARAMETER_ID which is the required parameter
- * for our purposes. See multi_planner.c@multi_planner for the details.
- */
-static Param *
-UninstantiatedParameterForColumn(Var *relationPartitionKey)
-{
-	Param *uninstantiatedParameter = makeNode(Param);
-
-	uninstantiatedParameter->paramkind = PARAM_EXTERN;
-	uninstantiatedParameter->paramid = UNINSTANTIATED_PARAMETER_ID;
-	uninstantiatedParameter->paramtype = relationPartitionKey->vartype;
-	uninstantiatedParameter->paramtypmod = relationPartitionKey->vartypmod;
-	uninstantiatedParameter->paramcollid = relationPartitionKey->varcollid;
-
-	return uninstantiatedParameter;
+	return list_make1(baseConstraint);
 }
 
 
@@ -924,13 +1603,18 @@ MultiTaskRouterSelectQuerySupported(Query *query)
 								 NULL, NULL);
 		}
 
-		/* see comment on AddUninstantiatedPartitionRestriction() */
 		if (subquery->setOperations != NULL)
 		{
-			return DeferredError(ERRCODE_FEATURE_NOT_SUPPORTED,
-								 "set operations are not allowed in INSERT ... SELECT "
-								 "queries",
-								 NULL, NULL);
+			SetOperationStmt *setOperationStatement =
+				(SetOperationStmt *) subquery->setOperations;
+
+			if (setOperationStatement->op != SETOP_UNION)
+			{
+				return DeferredError(ERRCODE_FEATURE_NOT_SUPPORTED,
+									 "INTERSECT and EXCEPT set operations are not "
+									 "allowed in INSERT ... SELECT queries",
+									 NULL, NULL);
+			}
 		}
 
 		/*
@@ -1190,126 +1874,6 @@ InsertPartitionColumnMatchesSelect(Query *query, RangeTblEntry *insertRte,
 }
 
 
-/*
- * AddUninstantiatedPartitionRestriction() can only be used with
- * INSERT ... SELECT queries.
- *
- * AddUninstantiatedPartitionRestriction adds an equality qual
- * to the SELECT query of the given originalQuery. The function currently
- * does NOT add the quals if
- *   (i)  Set operations are present on the top level query
- *   (ii) Target list does not include a bare partition column.
- *
- * Note that if the input query is not an INSERT ... SELECT the assertion fails. Lastly,
- * if all the participating tables in the query are reference tables, we implicitly
- * skip adding the quals to the query since IsPartitionColumnRecursive() always returns
- * false for reference tables.
- */
-void
-AddUninstantiatedPartitionRestriction(Query *originalQuery)
-{
-	Query *subquery = NULL;
-	RangeTblEntry *subqueryEntry = NULL;
-	ListCell *targetEntryCell = NULL;
-	Var *targetPartitionColumnVar = NULL;
-	List *targetList = NULL;
-
-	Assert(InsertSelectQuery(originalQuery));
-
-	subqueryEntry = ExtractSelectRangeTableEntry(originalQuery);
-	subquery = subqueryEntry->subquery;
-
-	/*
-	 * We currently not support the subquery with set operations. The main reason is that
-	 * there is an "Assert(parse->jointree->quals == NULL);" on standard planner's execution
-	 * path (i.e., plan_set_operations).
-	 * If we are to add uninstantiated equality qual to the query, we may end up hitting that
-	 * assertion, so it's better not to support for now.
-	 */
-	if (subquery->setOperations != NULL)
-	{
-		return;
-	}
-
-	/* iterate through the target list and find the partition column on the target list */
-	targetList = subquery->targetList;
-	foreach(targetEntryCell, targetList)
-	{
-		TargetEntry *targetEntry = lfirst(targetEntryCell);
-
-		if (IsPartitionColumn(targetEntry->expr, subquery) &&
-			IsA(targetEntry->expr, Var))
-		{
-			targetPartitionColumnVar = (Var *) targetEntry->expr;
-			break;
-		}
-	}
-
-	/*
-	 * If we cannot find the bare partition column, no need to add the qual since
-	 * we're already going to error out on the multi planner.
-	 */
-	if (!targetPartitionColumnVar)
-	{
-		return;
-	}
-
-	/* finally add the equality qual of target column to subquery */
-	AddUninstantiatedEqualityQual(subquery, targetPartitionColumnVar);
-}
-
-
-/*
- * AddUninstantiatedEqualityQual adds a qual in the following form
- * ($1 = partitionColumn) on the input query and partitionColumn.
- */
-static void
-AddUninstantiatedEqualityQual(Query *query, Var *partitionColumn)
-{
-	Param *equalityParameter = UninstantiatedParameterForColumn(partitionColumn);
-	OpExpr *uninstantiatedEqualityQual = NULL;
-	Oid partitionColumnCollid = InvalidOid;
-	Oid lessThanOperator = InvalidOid;
-	Oid equalsOperator = InvalidOid;
-	Oid greaterOperator = InvalidOid;
-	bool hashable = false;
-
-	AssertArg(query->commandType == CMD_SELECT);
-
-	/* get the necessary equality operator */
-	get_sort_group_operators(partitionColumn->vartype, false, true, false,
-							 &lessThanOperator, &equalsOperator, &greaterOperator,
-							 &hashable);
-
-
-	partitionColumnCollid = partitionColumn->varcollid;
-
-	/* create an equality on the on the target partition column */
-	uninstantiatedEqualityQual = (OpExpr *) make_opclause(equalsOperator, InvalidOid,
-														  false,
-														  (Expr *) partitionColumn,
-														  (Expr *) equalityParameter,
-														  partitionColumnCollid,
-														  partitionColumnCollid);
-
-	/* update the operators with correct operator numbers and function ids */
-	uninstantiatedEqualityQual->opfuncid = get_opcode(uninstantiatedEqualityQual->opno);
-	uninstantiatedEqualityQual->opresulttype =
-		get_func_rettype(uninstantiatedEqualityQual->opfuncid);
-
-	/* add restriction on partition column */
-	if (query->jointree->quals == NULL)
-	{
-		query->jointree->quals = (Node *) uninstantiatedEqualityQual;
-	}
-	else
-	{
-		query->jointree->quals = make_and_qual(query->jointree->quals,
-											   (Node *) uninstantiatedEqualityQual);
-	}
-}
-
-
 /*
  * ModifyQuerySupported returns NULL if the query only contains supported
  * features, otherwise it returns an error description.
diff --git a/src/backend/distributed/shared_library_init.c b/src/backend/distributed/shared_library_init.c
index c3dcf4e88..115f39dcc 100644
--- a/src/backend/distributed/shared_library_init.c
+++ b/src/backend/distributed/shared_library_init.c
@@ -148,6 +148,7 @@ _PG_init(void)
 
 	/* register for planner hook */
 	set_rel_pathlist_hook = multi_relation_restriction_hook;
+	set_join_pathlist_hook = multi_join_restriction_hook;
 
 	/* organize that task tracker is started once server is up */
 	TaskTrackerRegister();
diff --git a/src/include/distributed/multi_planner.h b/src/include/distributed/multi_planner.h
index 8a24b2efa..b62b80ec4 100644
--- a/src/include/distributed/multi_planner.h
+++ b/src/include/distributed/multi_planner.h
@@ -37,9 +37,23 @@ typedef struct RelationRestriction
 	RangeTblEntry *rte;
 	RelOptInfo *relOptInfo;
 	PlannerInfo *plannerInfo;
+	PlannerInfo *parentPlannerInfo;
+	List *parentPlannerParamList;
 	List *prunedShardIntervalList;
 } RelationRestriction;
 
+typedef struct JoinRestrictionContext
+{
+	List *joinRestrictionList;
+} JoinRestrictionContext;
+
+typedef struct JoinRestriction
+{
+	JoinType joinType;
+	List *joinRestrictInfoList;
+	PlannerInfo *plannerInfo;
+} JoinRestriction;
+
 typedef struct RelationShard
 {
 	CitusNode type;
@@ -47,6 +61,42 @@ typedef struct RelationShard
 	uint64 shardId;
 } RelationShard;
 
+/*
+ * AttributeEquivalenceClass
+ *
+ * Whenever we find an equality clause A = B, where both A and B originates from
+ * relation attributes (i.e., not random expressions), we create an
+ * AttributeEquivalenceClass to record this knowledge. If we later find another
+ * equivalence B = C, we create another AttributeEquivalenceClass. Finally, we can
+ * apply transitity rules and generate a new AttributeEquivalenceClass which includes
+ * A, B and C.
+ *
+ * Note that equality among the members are identified by the varattno and rteIdentity.
+ */
+typedef struct AttributeEquivalenceClass
+{
+	uint32 equivalenceId;
+	List *equivalentAttributes;
+} AttributeEquivalenceClass;
+
+/*
+ *  AttributeEquivalenceClassMember - one member expression of an
+ *  AttributeEquivalenceClassMember. The important thing to consider is that
+ *  the class member contains "rteIndentity" field. Note that each RTE_RELATION
+ *  is assigned a unique rteIdentity in AssignRTEIdentities() function.
+ *
+ *  "varno" and "varattrno" is directly used from a Var clause that is being added
+ *  to the attribute equivalence. Since we only use this class for relations, the member
+ *  also includes the relation id field.
+ */
+typedef struct AttributeEquivalenceClassMember
+{
+	Index varno;
+	AttrNumber varattno;
+	Oid relationId;
+	int rteIdendity;
+} AttributeEquivalenceClassMember;
+
 
 extern PlannedStmt * multi_planner(Query *parse, int cursorOptions,
 								   ParamListInfo boundParams);
@@ -55,9 +105,17 @@ struct MultiPlan;
 extern struct MultiPlan * GetMultiPlan(CustomScan *node);
 extern void multi_relation_restriction_hook(PlannerInfo *root, RelOptInfo *relOptInfo,
 											Index index, RangeTblEntry *rte);
+extern void multi_join_restriction_hook(PlannerInfo *root,
+										RelOptInfo *joinrel,
+										RelOptInfo *outerrel,
+										RelOptInfo *innerrel,
+										JoinType jointype,
+										JoinPathExtraData *extra);
 extern bool IsModifyCommand(Query *query);
 extern bool IsModifyMultiPlan(struct MultiPlan *multiPlan);
 extern RangeTblEntry * RemoteScanRangeTableEntry(List *columnNameList);
 
 
+extern int GetRTEIdentity(RangeTblEntry *rte);
+
 #endif /* MULTI_PLANNER_H */
diff --git a/src/include/distributed/multi_router_planner.h b/src/include/distributed/multi_router_planner.h
index 86d69a258..61f2c074b 100644
--- a/src/include/distributed/multi_router_planner.h
+++ b/src/include/distributed/multi_router_planner.h
@@ -21,9 +21,6 @@
 #include "nodes/parsenodes.h"
 
 
-/* reserved parameted id, we chose a negative number since it is not assigned by postgres */
-#define UNINSTANTIATED_PARAMETER_ID INT_MIN
-
 /* reserved alias name for UPSERTs */
 #define CITUS_TABLE_ALIAS "citus_table_alias"
 
@@ -32,9 +29,9 @@ extern bool EnableRouterExecution;
 extern MultiPlan * CreateRouterPlan(Query *originalQuery, Query *query,
 									RelationRestrictionContext *restrictionContext);
 extern MultiPlan * CreateModifyPlan(Query *originalQuery, Query *query,
-									RelationRestrictionContext *restrictionContext);
+									RelationRestrictionContext *restrictionContext,
+									JoinRestrictionContext *joinRestrictionContext);
 
-extern void AddUninstantiatedPartitionRestriction(Query *originalQuery);
 extern DeferredErrorMessage * ModifyQuerySupported(Query *queryTree);
 extern Query * ReorderInsertSelectTargetLists(Query *originalQuery,
 											  RangeTblEntry *insertRte,
diff --git a/src/test/regress/data/events_table.data b/src/test/regress/data/events_table.data
new file mode 100644
index 000000000..f683c77da
--- /dev/null
+++ b/src/test/regress/data/events_table.data
@@ -0,0 +1,10001 @@
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+46,2017-03-11 14:43:29.525317,421,352,633,
+22,2017-03-11 14:43:29.525317,546,241,737,
+87,2017-03-11 14:43:29.525317,994,428,467,
+14,2017-03-11 14:43:29.525317,395,371,629,
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+36,2017-03-11 14:43:29.525317,698,548,552,
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+83,2017-03-11 14:43:29.525317,923,188,595,
+90,2017-03-11 14:43:29.525317,382,595,448,
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+31,2017-03-11 14:43:29.525317,579,443,534,
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+40,2017-03-11 14:43:29.525317,69,23,717,
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+42,2017-03-11 14:43:29.525317,308,251,40,
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+34,2017-03-11 14:43:29.525317,808,335,599,
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+20,2017-03-11 14:43:29.525317,467,670,636,
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+18,2017-03-11 14:43:29.525317,424,585,142,
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+23,2017-03-11 14:43:29.525317,491,946,955,
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+8,2017-03-11 14:43:29.525317,500,428,273,
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+9,2017-03-11 14:43:29.525317,240,737,909,
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+34,2017-03-11 14:43:29.525317,465,328,91,
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+90,2017-03-11 14:43:29.525317,447,359,47,
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+67,2017-03-11 14:43:29.525317,719,93,909,
+78,2017-03-11 14:43:29.525317,20,904,449,
+79,2017-03-11 14:43:29.525317,694,354,490,
+23,2017-03-11 14:43:29.525317,181,420,124,
+63,2017-03-11 14:43:29.525317,779,171,427,
+66,2017-03-11 14:43:29.525317,412,258,240,
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+91,2017-03-11 14:43:29.525317,91,706,586,
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+9,2017-03-11 14:43:29.525317,396,102,319,
+58,2017-03-11 14:43:29.525317,523,443,206,
+30,2017-03-11 14:43:29.525317,614,633,961,
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+39,2017-03-11 14:43:29.525317,74,829,298,
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+34,2017-03-11 14:43:29.525317,380,567,155,
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+22,2017-03-11 14:43:29.525317,79,923,733,
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+25,2017-03-11 14:43:29.525317,48,376,628,
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+40,2017-03-11 14:43:29.525317,900,737,91,
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+31,2017-03-11 14:43:29.525317,464,305,94,
+19,2017-03-11 14:43:29.525317,414,164,437,
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+31,2017-03-11 14:43:29.525317,138,272,725,
+48,2017-03-11 14:43:29.525317,86,962,770,
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+37,2017-03-11 14:43:29.525317,565,804,50,
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+49,2017-03-11 14:43:29.525317,97,679,795,
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+24,2017-03-11 14:43:29.525317,329,260,191,
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+51,2017-03-11 14:43:29.525317,576,79,714,
+12,2017-03-11 14:43:29.525317,446,763,636,
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+16,2017-03-11 14:43:29.525317,337,628,219,
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+38,2017-03-11 14:43:29.525317,800,66,307,
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+81,2017-03-11 14:43:29.525317,265,848,322,
+33,2017-03-11 14:43:29.525317,36,664,499,
+15,2017-03-11 14:43:29.525317,342,964,194,
+43,2017-03-11 14:43:29.525317,899,574,777,
+61,2017-03-11 14:43:29.525317,500,658,917,
+95,2017-03-11 14:43:29.525317,31,908,387,
+44,2017-03-11 14:43:29.525317,450,54,609,
+64,2017-03-11 14:43:29.525317,179,5,443,
+44,2017-03-11 14:43:29.525317,853,765,769,
+89,2017-03-11 14:43:29.525317,430,269,35,
+77,2017-03-11 14:43:29.525317,233,229,206,
+13,2017-03-11 14:43:29.525317,803,983,744,
+30,2017-03-11 14:43:29.525317,642,661,250,
+67,2017-03-11 14:43:29.525317,568,637,110,
+2,2017-03-11 14:43:29.525317,691,718,653,
+87,2017-03-11 14:43:29.525317,723,97,314,
+58,2017-03-11 14:43:29.525317,862,83,465,
+29,2017-03-11 14:43:29.525317,352,500,64,
+58,2017-03-11 14:43:29.525317,729,270,717,
+53,2017-03-11 14:43:29.525317,254,461,834,
+90,2017-03-11 14:43:29.525317,122,84,567,
+69,2017-03-11 14:43:29.525317,721,677,708,
+41,2017-03-11 14:43:29.525317,395,362,281,
+12,2017-03-11 14:43:29.525317,458,595,694,
+32,2017-03-11 14:43:29.525317,678,159,613,
+3,2017-03-11 14:43:29.525317,659,677,615,
+39,2017-03-11 14:43:29.525317,947,332,920,
+20,2017-03-11 14:43:29.525317,793,754,95,
+91,2017-03-11 14:43:29.525317,838,663,605,
+56,2017-03-11 14:43:29.525317,340,313,971,
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+13,2017-03-11 14:43:29.525317,848,547,454,
+53,2017-03-11 14:43:29.525317,706,66,556,
+36,2017-03-11 14:43:29.525317,743,171,753,
+69,2017-03-11 14:43:29.525317,503,673,890,
+30,2017-03-11 14:43:29.525317,427,986,210,
+27,2017-03-11 14:43:29.525317,648,815,825,
+99,2017-03-11 14:43:29.525317,128,796,723,
+80,2017-03-11 14:43:29.525317,49,575,936,
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+83,2017-03-11 14:43:29.525317,456,980,192,
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+65,2017-03-11 14:43:29.525317,618,779,949,
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+10,2017-03-11 14:43:29.525317,932,123,904,
+98,2017-03-11 14:43:29.525317,699,840,879,
+82,2017-03-11 14:43:29.525317,229,302,649,
+68,2017-03-11 14:43:29.525317,282,841,883,
+43,2017-03-11 14:43:29.525317,786,772,86,
+40,2017-03-11 14:43:29.525317,550,36,449,
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+95,2017-03-11 14:43:29.525317,16,688,771,
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+27,2017-03-11 14:43:29.525317,260,813,704,
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+2,2017-03-11 14:43:29.525317,657,177,191,
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+65,2017-03-11 14:43:29.525317,876,276,898,
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+29,2017-03-11 14:43:29.525317,131,939,849,
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+48,2017-03-11 14:43:29.525317,736,378,936,
+9,2017-03-11 14:43:29.525317,190,414,93,
+18,2017-03-11 14:43:29.525317,83,652,472,
+21,2017-03-11 14:43:29.525317,591,321,982,
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+31,2017-03-11 14:43:29.525317,724,593,632,
+87,2017-03-11 14:43:29.525317,600,915,662,
+45,2017-03-11 14:43:29.525317,199,678,927,
+94,2017-03-11 14:43:29.525317,56,863,21,
+25,2017-03-11 14:43:29.525317,277,114,425,
+36,2017-03-11 14:43:29.525317,766,897,572,
+36,2017-03-11 14:43:29.525317,218,554,76,
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+68,2017-03-11 14:43:29.525317,392,831,554,
+99,2017-03-11 14:43:29.525317,745,217,439,
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+74,2017-03-11 14:43:29.525317,990,216,630,
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+41,2017-03-11 14:43:29.525317,660,184,398,
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+30,2017-03-11 14:43:29.525317,201,231,247,
+43,2017-03-11 14:43:29.525317,132,444,933,
+15,2017-03-11 14:43:29.525317,67,797,931,
+59,2017-03-11 14:43:29.525317,233,71,324,
+22,2017-03-11 14:43:29.525317,287,955,170,
+30,2017-03-11 14:43:29.525317,784,800,708,
+44,2017-03-11 14:43:29.525317,984,106,849,
+38,2017-03-11 14:43:29.525317,942,199,679,
+14,2017-03-11 14:43:29.525317,430,926,572,
+56,2017-03-11 14:43:29.525317,370,505,711,
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+6,2017-03-11 14:43:29.525317,180,335,114,
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+48,2017-03-11 14:43:29.525317,57,546,745,
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diff --git a/src/test/regress/data/users_table.data b/src/test/regress/data/users_table.data
new file mode 100644
index 000000000..a6c44e516
--- /dev/null
+++ b/src/test/regress/data/users_table.data
@@ -0,0 +1,10001 @@
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+44,2017-03-11 14:43:29.457788,333,346,540,
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+25,2017-03-11 14:43:29.457788,427,671,224,
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+39,2017-03-11 14:43:29.457788,518,418,345,
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+8,2017-03-11 14:43:29.457788,302,128,180,
+54,2017-03-11 14:43:29.457788,516,22,224,
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+9,2017-03-11 14:43:29.457788,658,456,349,
+45,2017-03-11 14:43:29.457788,672,923,407,
+86,2017-03-11 14:43:29.457788,212,14,247,
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+31,2017-03-11 14:43:29.457788,512,513,655,
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+25,2017-03-11 14:43:29.457788,530,982,815,
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+24,2017-03-11 14:43:29.457788,713,556,807,
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+42,2017-03-11 14:43:29.457788,47,469,504,
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+66,2017-03-11 14:43:29.457788,943,836,565,
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+4,2017-03-11 14:43:29.457788,431,500,431,
+28,2017-03-11 14:43:29.457788,177,142,593,
+35,2017-03-11 14:43:29.457788,818,252,606,
+16,2017-03-11 14:43:29.457788,485,426,441,
+73,2017-03-11 14:43:29.457788,139,240,390,
+8,2017-03-11 14:43:29.457788,77,955,990,
+85,2017-03-11 14:43:29.457788,651,200,566,
+27,2017-03-11 14:43:29.457788,110,169,318,
+54,2017-03-11 14:43:29.457788,668,749,816,
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+71,2017-03-11 14:43:29.457788,661,804,867,
+15,2017-03-11 14:43:29.457788,230,308,871,
+37,2017-03-11 14:43:29.457788,548,261,452,
+62,2017-03-11 14:43:29.457788,216,441,480,
+87,2017-03-11 14:43:29.457788,641,45,141,
+75,2017-03-11 14:43:29.457788,214,459,292,
+88,2017-03-11 14:43:29.457788,208,108,728,
+10,2017-03-11 14:43:29.457788,517,927,807,
+18,2017-03-11 14:43:29.457788,731,674,324,
+96,2017-03-11 14:43:29.457788,982,195,331,
+53,2017-03-11 14:43:29.457788,456,782,155,
+67,2017-03-11 14:43:29.457788,223,634,539,
+86,2017-03-11 14:43:29.457788,680,680,615,
+89,2017-03-11 14:43:29.457788,139,907,776,
+35,2017-03-11 14:43:29.457788,15,504,446,
+53,2017-03-11 14:43:29.457788,431,252,710,
+16,2017-03-11 14:43:29.457788,926,34,124,
+91,2017-03-11 14:43:29.457788,229,454,438,
+69,2017-03-11 14:43:29.457788,236,593,357,
+46,2017-03-11 14:43:29.457788,227,897,324,
+91,2017-03-11 14:43:29.457788,577,939,801,
+72,2017-03-11 14:43:29.457788,846,577,63,
+86,2017-03-11 14:43:29.457788,82,509,392,
+51,2017-03-11 14:43:29.457788,761,102,675,
+69,2017-03-11 14:43:29.457788,136,799,595,
+37,2017-03-11 14:43:29.457788,253,32,51,
+49,2017-03-11 14:43:29.457788,625,408,948,
+85,2017-03-11 14:43:29.457788,304,272,759,
+88,2017-03-11 14:43:29.457788,211,560,597,
+6,2017-03-11 14:43:29.457788,137,661,917,
+22,2017-03-11 14:43:29.457788,170,309,731,
+93,2017-03-11 14:43:29.457788,411,406,618,
+55,2017-03-11 14:43:29.457788,205,213,913,
+46,2017-03-11 14:43:29.457788,245,964,946,
+87,2017-03-11 14:43:29.457788,372,894,722,
+68,2017-03-11 14:43:29.457788,167,481,557,
+38,2017-03-11 14:43:29.457788,40,154,435,
+18,2017-03-11 14:43:29.457788,815,352,395,
+98,2017-03-11 14:43:29.457788,661,127,915,
+7,2017-03-11 14:43:29.457788,533,533,620,
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+99,2017-03-11 14:43:29.457788,496,141,861,
+87,2017-03-11 14:43:29.457788,35,583,544,
+20,2017-03-11 14:43:29.457788,63,101,579,
+10,2017-03-11 14:43:29.457788,255,14,280,
+7,2017-03-11 14:43:29.457788,366,676,55,
+3,2017-03-11 14:43:29.457788,803,970,99,
+34,2017-03-11 14:43:29.457788,504,719,73,
+25,2017-03-11 14:43:29.457788,252,268,241,
+75,2017-03-11 14:43:29.457788,408,102,616,
+44,2017-03-11 14:43:29.457788,684,160,645,
+75,2017-03-11 14:43:29.457788,261,225,851,
+52,2017-03-11 14:43:29.457788,238,131,587,
+60,2017-03-11 14:43:29.457788,807,642,630,
+61,2017-03-11 14:43:29.457788,612,729,945,
+12,2017-03-11 14:43:29.457788,448,18,366,
+70,2017-03-11 14:43:29.457788,285,607,447,
+69,2017-03-11 14:43:29.457788,708,63,137,
+39,2017-03-11 14:43:29.457788,223,782,139,
+48,2017-03-11 14:43:29.457788,7,990,1000,
+25,2017-03-11 14:43:29.457788,121,586,849,
+93,2017-03-11 14:43:29.457788,228,479,537,
+84,2017-03-11 14:43:29.457788,209,482,956,
+66,2017-03-11 14:43:29.457788,500,322,356,
+79,2017-03-11 14:43:29.457788,928,804,479,
+64,2017-03-11 14:43:29.457788,867,616,28,
+9,2017-03-11 14:43:29.457788,398,167,573,
+40,2017-03-11 14:43:29.457788,157,573,650,
+28,2017-03-11 14:43:29.457788,159,498,205,
+39,2017-03-11 14:43:29.457788,978,743,227,
+19,2017-03-11 14:43:29.457788,225,183,843,
+72,2017-03-11 14:43:29.457788,505,199,509,
+43,2017-03-11 14:43:29.457788,3,988,69,
+87,2017-03-11 14:43:29.457788,604,97,960,
+0,2017-03-11 14:43:29.457788,265,533,406,
+42,2017-03-11 14:43:29.457788,106,55,699,
+27,2017-03-11 14:43:29.457788,554,905,652,
+53,2017-03-11 14:43:29.457788,647,879,718,
+87,2017-03-11 14:43:29.457788,62,561,596,
+57,2017-03-11 14:43:29.457788,760,106,999,
+76,2017-03-11 14:43:29.457788,94,68,633,
+70,2017-03-11 14:43:29.457788,165,593,699,
+43,2017-03-11 14:43:29.457788,126,104,851,
+23,2017-03-11 14:43:29.457788,160,551,497,
+71,2017-03-11 14:43:29.457788,455,149,245,
+10,2017-03-11 14:43:29.457788,28,963,975,
+9,2017-03-11 14:43:29.457788,524,571,656,
+28,2017-03-11 14:43:29.457788,677,655,48,
+77,2017-03-11 14:43:29.457788,722,681,468,
+89,2017-03-11 14:43:29.457788,274,167,317,
+40,2017-03-11 14:43:29.457788,271,168,631,
+43,2017-03-11 14:43:29.457788,719,128,144,
+17,2017-03-11 14:43:29.457788,277,389,277,
+30,2017-03-11 14:43:29.457788,352,251,394,
+88,2017-03-11 14:43:29.457788,822,49,160,
+50,2017-03-11 14:43:29.457788,704,208,271,
diff --git a/src/test/regress/expected/multi_insert_select.out b/src/test/regress/expected/multi_insert_select.out
index 9d799383f..ed6dc72b2 100644
--- a/src/test/regress/expected/multi_insert_select.out
+++ b/src/test/regress/expected/multi_insert_select.out
@@ -35,6 +35,13 @@ SELECT create_reference_table('reference_table');
  
 (1 row)
 
+CREATE TABLE insert_select_varchar_test (key varchar, value int);
+SELECT create_distributed_table('insert_select_varchar_test', 'key', 'hash');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
 -- set back to the defaults
 SET citus.shard_count = DEFAULT;
 SET citus.shard_replication_factor = DEFAULT;
@@ -1125,13 +1132,14 @@ SELECT
 FROM
   ((SELECT user_id FROM raw_events_first) UNION
    (SELECT user_id FROM raw_events_second)) as foo;
-ERROR:  set operations are not allowed in INSERT ... SELECT queries
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
 -- We do not support any set operations
 INSERT INTO
   raw_events_first(user_id)
   (SELECT user_id FROM raw_events_first) INTERSECT
   (SELECT user_id FROM raw_events_first);
-ERROR:  set operations are not allowed in INSERT ... SELECT queries
+ERROR:  INTERSECT and EXCEPT set operations are not allowed in INSERT ... SELECT queries
 -- We do not support any set operations
 INSERT INTO
   raw_events_first(user_id)
@@ -1140,7 +1148,7 @@ SELECT
 FROM
   ((SELECT user_id FROM raw_events_first WHERE user_id = 15) EXCEPT
    (SELECT user_id FROM raw_events_second where user_id = 17)) as foo;
-ERROR:  set operations are not allowed in INSERT ... SELECT queries
+ERROR:  INTERSECT and EXCEPT set operations are not allowed in INSERT ... SELECT queries
 -- some supported LEFT joins
  INSERT INTO agg_events (user_id)
  SELECT
@@ -1406,35 +1414,8 @@ DEBUG:  Plan is router executable
         raw_events_second 
  WHERE  raw_events_second.user_id = raw_events_first.value_1 
         AND raw_events_first.value_1 = 12; 
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300004
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  distributed statement: INSERT INTO public.agg_events_13300008 AS citus_table_alias (user_id) SELECT raw_events_first.user_id FROM public.raw_events_first_13300000 raw_events_first, public.raw_events_second_13300007 raw_events_second WHERE (((raw_events_second.user_id = raw_events_first.value_1) AND (raw_events_first.value_1 = 12)) AND ((hashint4(raw_events_first.user_id) >= '-2147483648'::integer) AND (hashint4(raw_events_first.user_id) <= '-1073741825'::integer)))
-DEBUG:  predicate pruning for shardId 13300000
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300004
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  distributed statement: INSERT INTO public.agg_events_13300009 AS citus_table_alias (user_id) SELECT raw_events_first.user_id FROM public.raw_events_first_13300001 raw_events_first, public.raw_events_second_13300007 raw_events_second WHERE (((raw_events_second.user_id = raw_events_first.value_1) AND (raw_events_first.value_1 = 12)) AND ((hashint4(raw_events_first.user_id) >= '-1073741824'::integer) AND (hashint4(raw_events_first.user_id) <= '-1'::integer)))
-DEBUG:  predicate pruning for shardId 13300000
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300004
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  distributed statement: INSERT INTO public.agg_events_13300010 AS citus_table_alias (user_id) SELECT raw_events_first.user_id FROM public.raw_events_first_13300002 raw_events_first, public.raw_events_second_13300007 raw_events_second WHERE (((raw_events_second.user_id = raw_events_first.value_1) AND (raw_events_first.value_1 = 12)) AND ((hashint4(raw_events_first.user_id) >= 0) AND (hashint4(raw_events_first.user_id) <= 1073741823)))
-DEBUG:  predicate pruning for shardId 13300000
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300004
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  distributed statement: INSERT INTO public.agg_events_13300011 AS citus_table_alias (user_id) SELECT raw_events_first.user_id FROM public.raw_events_first_13300003 raw_events_first, public.raw_events_second_13300007 raw_events_second WHERE (((raw_events_second.user_id = raw_events_first.value_1) AND (raw_events_first.value_1 = 12)) AND ((hashint4(raw_events_first.user_id) >= 1073741824) AND (hashint4(raw_events_first.user_id) <= 2147483647)))
-DEBUG:  Plan is router executable
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
  
  -- some unsupported LEFT/INNER JOINs
  -- JOIN on one table with partition column other is not
@@ -1443,9 +1424,6 @@ DEBUG:  Plan is router executable
    raw_events_first.user_id
  FROM
    raw_events_first LEFT JOIN raw_events_second ON raw_events_first.user_id = raw_events_second.value_1;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1455,9 +1433,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
    raw_events_first.user_id
  FROM
    raw_events_first INNER JOIN raw_events_second ON raw_events_first.user_id = raw_events_second.value_1;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1477,9 +1452,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
    raw_events_first.user_id
  FROM
    raw_events_first LEFT JOIN raw_events_second ON raw_events_first.value_1 = raw_events_second.value_1;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1489,9 +1461,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
    raw_events_first.user_id
  FROM
    raw_events_first INNER JOIN raw_events_second ON raw_events_first.value_1 = raw_events_second.value_1;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1530,9 +1499,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
  FROM
    raw_events_first INNER JOIN raw_events_second ON raw_events_first.user_id = raw_events_second.value_1
    WHERE raw_events_first.value_1 IN (10, 11,12) OR raw_events_second.user_id IN (1,2,3,4);
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1543,9 +1509,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
  FROM   raw_events_first, 
         raw_events_second 
  WHERE  raw_events_second.user_id = raw_events_first.value_1; 
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1559,9 +1522,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
         raw_events_second 
  WHERE  raw_events_second.user_id = raw_events_first.value_1 
         AND raw_events_first.value_2 = 12;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
  
@@ -1596,12 +1556,6 @@ DETAIL:  Select query cannot be pushed down to the worker.
  ON (f.id = f2.id)) as outer_most
  GROUP BY
    outer_most.id;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  predicate pruning for shardId 13300007
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 INSERT INTO agg_events
@@ -1793,12 +1747,6 @@ outer_most.id, max(outer_most.value)
             HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
 ON (f.id != f2.id)) as outer_most
 GROUP BY outer_most.id;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  predicate pruning for shardId 13300007
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 -- cannot pushdown since foo2 is not join on partition key
@@ -1861,12 +1809,6 @@ FROM
 ON (f.id = f2.id)) as outer_most
 GROUP BY
   outer_most.id;
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  predicate pruning for shardId 13300007
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 -- some unsupported LATERAL JOINs
@@ -1925,12 +1867,6 @@ FROM
 JOIN LATERAL
     (SELECT user_id, value_4 FROM agg_events) as agg_ids ON (agg_ids.value_4 = averages.user_id)
     GROUP BY averages.user_id;
-DEBUG:  predicate pruning for shardId 13300005
-DEBUG:  predicate pruning for shardId 13300006
-DEBUG:  predicate pruning for shardId 13300007
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 -- not supported subqueries in WHERE clause
@@ -1942,9 +1878,6 @@ SELECT user_id
 FROM   raw_events_first
 WHERE  user_id IN (SELECT value_1
                    FROM   raw_events_second);
-DEBUG:  predicate pruning for shardId 13300001
-DEBUG:  predicate pruning for shardId 13300002
-DEBUG:  predicate pruning for shardId 13300003
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 -- same as above but slightly more complex
@@ -1973,6 +1906,17 @@ FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
 ON (f.id = f2.id)
 WHERE f.id IN (SELECT value_1
                FROM   raw_events_second);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- some more semi-anti join tests
+-- join in where
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (SELECT raw_events_second.user_id
+                   FROM   raw_events_second, raw_events_first
+                   WHERE  raw_events_second.user_id = raw_events_first.user_id AND raw_events_first.user_id = 200);
 DEBUG:  predicate pruning for shardId 13300001
 DEBUG:  predicate pruning for shardId 13300002
 DEBUG:  predicate pruning for shardId 13300003
@@ -1982,6 +1926,389 @@ DEBUG:  predicate pruning for shardId 13300007
 DEBUG:  predicate pruning for shardId 13300001
 DEBUG:  predicate pruning for shardId 13300002
 DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300004 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300000 raw_events_first WHERE ((user_id IN (SELECT raw_events_second.user_id FROM public.raw_events_second_13300004 raw_events_second, public.raw_events_first_13300000 raw_events_first_1 WHERE ((raw_events_second.user_id = raw_events_first_1.user_id) AND (raw_events_first_1.user_id = 200)))) AND ((hashint4(user_id) >= '-2147483648'::integer) AND (hashint4(user_id) <= '-1073741825'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  Skipping target shard interval 13300005 since SELECT query for it pruned away
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  Skipping target shard interval 13300006 since SELECT query for it pruned away
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  Skipping target shard interval 13300007 since SELECT query for it pruned away
+DEBUG:  Plan is router executable
+-- we cannot push this down since it is NOT IN
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id NOT IN (SELECT raw_events_second.user_id
+                   FROM   raw_events_second, raw_events_first
+                   WHERE  raw_events_second.user_id = raw_events_first.user_id AND raw_events_first.user_id = 200);
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- safe to push down
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  EXISTS (SELECT 1
+                   FROM   raw_events_second
+                   WHERE  raw_events_second.user_id =raw_events_first.user_id);
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300004 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300000 raw_events_first WHERE ((EXISTS (SELECT 1 FROM public.raw_events_second_13300004 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id))) AND ((hashint4(user_id) >= '-2147483648'::integer) AND (hashint4(user_id) <= '-1073741825'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300005 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300001 raw_events_first WHERE ((EXISTS (SELECT 1 FROM public.raw_events_second_13300005 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id))) AND ((hashint4(user_id) >= '-1073741824'::integer) AND (hashint4(user_id) <= '-1'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300006 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300002 raw_events_first WHERE ((EXISTS (SELECT 1 FROM public.raw_events_second_13300006 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id))) AND ((hashint4(user_id) >= 0) AND (hashint4(user_id) <= 1073741823)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300007 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300003 raw_events_first WHERE ((EXISTS (SELECT 1 FROM public.raw_events_second_13300007 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id))) AND ((hashint4(user_id) >= 1073741824) AND (hashint4(user_id) <= 2147483647)))
+DEBUG:  Plan is router executable
+-- we cannot push down
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  NOT EXISTS (SELECT 1
+                   FROM   raw_events_second
+                   WHERE  raw_events_second.user_id =raw_events_first.user_id);
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300004 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300000 raw_events_first WHERE ((NOT (EXISTS (SELECT 1 FROM public.raw_events_second_13300004 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id)))) AND ((hashint4(user_id) >= '-2147483648'::integer) AND (hashint4(user_id) <= '-1073741825'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300005 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300001 raw_events_first WHERE ((NOT (EXISTS (SELECT 1 FROM public.raw_events_second_13300005 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id)))) AND ((hashint4(user_id) >= '-1073741824'::integer) AND (hashint4(user_id) <= '-1'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300006 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300002 raw_events_first WHERE ((NOT (EXISTS (SELECT 1 FROM public.raw_events_second_13300006 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id)))) AND ((hashint4(user_id) >= 0) AND (hashint4(user_id) <= 1073741823)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300007 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300003 raw_events_first WHERE ((NOT (EXISTS (SELECT 1 FROM public.raw_events_second_13300007 raw_events_second WHERE (raw_events_second.user_id = raw_events_first.user_id)))) AND ((hashint4(user_id) >= 1073741824) AND (hashint4(user_id) <= 2147483647)))
+DEBUG:  Plan is router executable
+-- more complex LEFT JOINs 
+ INSERT INTO agg_events
+             (user_id, value_4_agg)
+ SELECT
+   outer_most.id, max(outer_most.value)
+ FROM
+ (
+   SELECT f2.id as id, f2.v4 as value FROM
+     (SELECT
+           id
+       FROM   (SELECT raw_events_first.user_id      AS id
+                FROM   raw_events_first LEFT JOIN
+                       reference_table
+             ON (raw_events_first.user_id = reference_table.user_id)) AS foo) as f
+   LEFT JOIN
+     (SELECT v4,
+           v1,
+           id
+     FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+                SUM(raw_events_first.value_1) AS v1,
+                raw_events_second.user_id      AS id
+             FROM   raw_events_first,
+                     raw_events_second
+             WHERE  raw_events_first.user_id = raw_events_second.user_id
+             GROUP  BY raw_events_second.user_id
+             HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ ON (f.id = f2.id)) as outer_most
+ GROUP BY
+   outer_most.id;
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  distributed statement: INSERT INTO public.agg_events_13300008 AS citus_table_alias (user_id, value_4_agg) SELECT id, max(value) AS max FROM (SELECT f2.id, f2.v4 AS value FROM ((SELECT foo.id FROM (SELECT raw_events_first.user_id AS id FROM (public.raw_events_first_13300000 raw_events_first LEFT JOIN public.reference_table_13300012 reference_table ON ((raw_events_first.user_id = reference_table.user_id)))) foo) f LEFT JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300000 raw_events_first, public.raw_events_second_13300004 raw_events_second WHERE (raw_events_first.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id)))) outer_most WHERE ((hashint4(id) >= '-2147483648'::integer) AND (hashint4(id) <= '-1073741825'::integer)) GROUP BY id
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  distributed statement: INSERT INTO public.agg_events_13300009 AS citus_table_alias (user_id, value_4_agg) SELECT id, max(value) AS max FROM (SELECT f2.id, f2.v4 AS value FROM ((SELECT foo.id FROM (SELECT raw_events_first.user_id AS id FROM (public.raw_events_first_13300001 raw_events_first LEFT JOIN public.reference_table_13300012 reference_table ON ((raw_events_first.user_id = reference_table.user_id)))) foo) f LEFT JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300001 raw_events_first, public.raw_events_second_13300005 raw_events_second WHERE (raw_events_first.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id)))) outer_most WHERE ((hashint4(id) >= '-1073741824'::integer) AND (hashint4(id) <= '-1'::integer)) GROUP BY id
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  distributed statement: INSERT INTO public.agg_events_13300010 AS citus_table_alias (user_id, value_4_agg) SELECT id, max(value) AS max FROM (SELECT f2.id, f2.v4 AS value FROM ((SELECT foo.id FROM (SELECT raw_events_first.user_id AS id FROM (public.raw_events_first_13300002 raw_events_first LEFT JOIN public.reference_table_13300012 reference_table ON ((raw_events_first.user_id = reference_table.user_id)))) foo) f LEFT JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300002 raw_events_first, public.raw_events_second_13300006 raw_events_second WHERE (raw_events_first.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id)))) outer_most WHERE ((hashint4(id) >= 0) AND (hashint4(id) <= 1073741823)) GROUP BY id
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  distributed statement: INSERT INTO public.agg_events_13300011 AS citus_table_alias (user_id, value_4_agg) SELECT id, max(value) AS max FROM (SELECT f2.id, f2.v4 AS value FROM ((SELECT foo.id FROM (SELECT raw_events_first.user_id AS id FROM (public.raw_events_first_13300003 raw_events_first LEFT JOIN public.reference_table_13300012 reference_table ON ((raw_events_first.user_id = reference_table.user_id)))) foo) f LEFT JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300003 raw_events_first, public.raw_events_second_13300007 raw_events_second WHERE (raw_events_first.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id)))) outer_most WHERE ((hashint4(id) >= 1073741824) AND (hashint4(id) <= 2147483647)) GROUP BY id
+DEBUG:  Plan is router executable
+-- cannot push down since the f.id IN is matched with value_1
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT value_1
+               FROM   raw_events_second));
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- same as above, but this time is it safe to push down since
+-- f.id IN is matched with user_id
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300004 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300000 raw_events_first WHERE ((user_id IN (SELECT f2.id FROM ((SELECT foo.id FROM (SELECT reference_table.user_id AS id FROM public.raw_events_first_13300000 raw_events_first_1, public.reference_table_13300012 reference_table WHERE (raw_events_first_1.user_id = reference_table.user_id)) foo) f JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first_1.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300000 raw_events_first_1, public.raw_events_second_13300004 raw_events_second WHERE (raw_events_first_1.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id))) WHERE (f.id IN (SELECT raw_events_second.user_id FROM public.raw_events_second_13300004 raw_events_second)))) AND ((hashint4(user_id) >= '-2147483648'::integer) AND (hashint4(user_id) <= '-1073741825'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300005 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300001 raw_events_first WHERE ((user_id IN (SELECT f2.id FROM ((SELECT foo.id FROM (SELECT reference_table.user_id AS id FROM public.raw_events_first_13300001 raw_events_first_1, public.reference_table_13300012 reference_table WHERE (raw_events_first_1.user_id = reference_table.user_id)) foo) f JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first_1.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300001 raw_events_first_1, public.raw_events_second_13300005 raw_events_second WHERE (raw_events_first_1.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id))) WHERE (f.id IN (SELECT raw_events_second.user_id FROM public.raw_events_second_13300005 raw_events_second)))) AND ((hashint4(user_id) >= '-1073741824'::integer) AND (hashint4(user_id) <= '-1'::integer)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300003
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300007
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300006 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300002 raw_events_first WHERE ((user_id IN (SELECT f2.id FROM ((SELECT foo.id FROM (SELECT reference_table.user_id AS id FROM public.raw_events_first_13300002 raw_events_first_1, public.reference_table_13300012 reference_table WHERE (raw_events_first_1.user_id = reference_table.user_id)) foo) f JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first_1.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300002 raw_events_first_1, public.raw_events_second_13300006 raw_events_second WHERE (raw_events_first_1.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id))) WHERE (f.id IN (SELECT raw_events_second.user_id FROM public.raw_events_second_13300006 raw_events_second)))) AND ((hashint4(user_id) >= 0) AND (hashint4(user_id) <= 1073741823)))
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300000
+DEBUG:  predicate pruning for shardId 13300001
+DEBUG:  predicate pruning for shardId 13300002
+DEBUG:  predicate pruning for shardId 13300004
+DEBUG:  predicate pruning for shardId 13300005
+DEBUG:  predicate pruning for shardId 13300006
+DEBUG:  distributed statement: INSERT INTO public.raw_events_second_13300007 AS citus_table_alias (user_id) SELECT user_id FROM public.raw_events_first_13300003 raw_events_first WHERE ((user_id IN (SELECT f2.id FROM ((SELECT foo.id FROM (SELECT reference_table.user_id AS id FROM public.raw_events_first_13300003 raw_events_first_1, public.reference_table_13300012 reference_table WHERE (raw_events_first_1.user_id = reference_table.user_id)) foo) f JOIN (SELECT foo2.v4, foo2.v1, foo2.id FROM (SELECT sum(raw_events_second.value_4) AS v4, sum(raw_events_first_1.value_1) AS v1, raw_events_second.user_id AS id FROM public.raw_events_first_13300003 raw_events_first_1, public.raw_events_second_13300007 raw_events_second WHERE (raw_events_first_1.user_id = raw_events_second.user_id) GROUP BY raw_events_second.user_id HAVING (sum(raw_events_second.value_4) > (10)::numeric)) foo2) f2 ON ((f.id = f2.id))) WHERE (f.id IN (SELECT raw_events_second.user_id FROM public.raw_events_second_13300007 raw_events_second)))) AND ((hashint4(user_id) >= 1073741824) AND (hashint4(user_id) <= 2147483647)))
+DEBUG:  Plan is router executable
+-- cannot push down since top level user_id is matched with NOT IN
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id NOT IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- cannot push down since join is not equi join (f.id > f2.id)
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id > f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
 ERROR:  cannot perform distributed planning for the given modification
 DETAIL:  Select query cannot be pushed down to the worker.
 -- we currently not support grouping sets
@@ -2054,7 +2381,7 @@ INSERT INTO raw_events_first (user_id, time, value_1, value_2, value_3, value_4)
 SELECT count(*) FROM raw_events_second;
  count 
 -------
-     9
+    18
 (1 row)
 
 INSERT INTO raw_events_second SELECT * FROM test_view;
@@ -2064,7 +2391,7 @@ INSERT INTO raw_events_second SELECT * FROM test_view WHERE user_id = 17 GROUP B
 SELECT count(*) FROM raw_events_second;
  count 
 -------
-    11
+    20
 (1 row)
 
 -- inserting into views does not
@@ -2210,6 +2537,32 @@ DEBUG:  predicate pruning for shardId 13300007
 DEBUG:  Skipping target shard interval 13300003 since SELECT query for it pruned away
 DEBUG:  Plan is router executable
 SET client_min_messages TO INFO;
+-- now do some tests with varchars
+INSERT INTO insert_select_varchar_test VALUES ('test_1', 10);
+INSERT INTO insert_select_varchar_test VALUES ('test_2', 30);
+INSERT INTO insert_select_varchar_test (key, value)
+SELECT *, 100
+FROM   (SELECT f1.key
+        FROM   (SELECT key
+                FROM   insert_select_varchar_test 
+                GROUP  BY 1
+                HAVING Count(key) < 3) AS f1, 
+               (SELECT key 
+                FROM   insert_select_varchar_test 
+                GROUP  BY 1 
+                HAVING Sum(COALESCE(insert_select_varchar_test.value, 0)) > 
+                       20.0) 
+               AS f2 
+        WHERE  f1.key = f2.key 
+        GROUP  BY 1) AS foo; 
+SELECT * FROM insert_select_varchar_test;
+  key   | value 
+--------+-------
+ test_2 |    30
+ test_2 |   100
+ test_1 |    10
+(3 rows)
+
 -- some tests with DEFAULT columns and constant values
 -- this test is mostly importantly intended for deparsing the query correctly
 -- but still it is preferable to have this test here instead of multi_deparse_shard_query
@@ -2233,10 +2586,10 @@ SELECT create_distributed_table('table_with_defaults', 'store_id');
 SET client_min_messages TO DEBUG2;
 -- a very simple query
 INSERT INTO table_with_defaults SELECT * FROM table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, default_1, last_name, default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, default_1, last_name, default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, default_1, last_name, default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, default_1, last_name, default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- see that defaults are filled
 INSERT INTO table_with_defaults (store_id, first_name)
@@ -2244,10 +2597,10 @@ SELECT
   store_id, first_name
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, '2'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, '2'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, '2'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, '2'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- shuffle one of the defaults and skip the other
 INSERT INTO table_with_defaults (default_2, store_id, first_name)
@@ -2255,10 +2608,10 @@ SELECT
   default_2, store_id, first_name
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, 1 AS default_1, default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- shuffle both defaults
 INSERT INTO table_with_defaults (default_2, store_id, default_1, first_name)
@@ -2266,10 +2619,10 @@ SELECT
   default_2, store_id, default_1, first_name
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, default_1, default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, default_1, default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, default_1, default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, first_name, default_1, default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- use constants instead of non-default column
 INSERT INTO table_with_defaults (default_2, last_name, store_id, first_name)
@@ -2277,10 +2630,10 @@ SELECT
   default_2, 'Freund', store_id, 'Andres'
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- use constants instead of non-default column and skip both defauls
 INSERT INTO table_with_defaults (last_name, store_id, first_name)
@@ -2288,10 +2641,10 @@ SELECT
   'Freund', store_id, 'Andres'
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, '2'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, '2'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, '2'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, 'Freund'::text AS last_name, '2'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- use constants instead of default columns
 INSERT INTO table_with_defaults (default_2, last_name, store_id, first_name, default_1)
@@ -2299,10 +2652,10 @@ SELECT
   20, last_name, store_id, first_name, 10
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, 10, last_name, 20 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, 10, last_name, 20 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, 10, last_name, 20 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, first_name, 10, last_name, 20 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- use constants instead of both default columns and non-default columns
 INSERT INTO table_with_defaults (default_2, last_name, store_id, first_name, default_1)
@@ -2310,10 +2663,10 @@ SELECT
   20, 'Freund', store_id, 'Andres', 10
 FROM
   table_with_defaults;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 10, 'Freund'::text AS last_name, 20 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 10, 'Freund'::text AS last_name, 20 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 10, 'Freund'::text AS last_name, 20 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer))
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, last_name, default_2) SELECT store_id, 'Andres'::text AS first_name, 10, 'Freund'::text AS last_name, 20 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647))
 DEBUG:  Plan is router executable
 -- some of the the ultimate queries where we have constants,
 -- defaults and group by entry is not on the target entry
@@ -2324,10 +2677,10 @@ FROM
   table_with_defaults
 GROUP BY
   last_name, store_id;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, '2000'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, '2000'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, '2000'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1 AS default_1, '2000'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id
 DEBUG:  Plan is router executable
 INSERT INTO table_with_defaults (default_1, store_id, first_name, default_2)
 SELECT
@@ -2336,10 +2689,10 @@ FROM
   table_with_defaults
 GROUP BY
   last_name, store_id, first_name;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name
 DEBUG:  Plan is router executable
 INSERT INTO table_with_defaults (default_1, store_id, first_name, default_2)
 SELECT
@@ -2348,10 +2701,10 @@ FROM
   table_with_defaults
 GROUP BY
   last_name, store_id, first_name, default_2;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name, default_2
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name, default_2
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name, default_2
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2000'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name, default_2
 DEBUG:  Plan is router executable
 INSERT INTO table_with_defaults (default_1, store_id, first_name)
 SELECT
@@ -2360,10 +2713,10 @@ FROM
   table_with_defaults
 GROUP BY
   last_name, store_id, first_name, default_2;
-DEBUG:  predicate pruning for shardId 13300014
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300013 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2'::text AS default_2 FROM public.table_with_defaults_13300013 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name, default_2
-DEBUG:  predicate pruning for shardId 13300013
-DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300014 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2'::text AS default_2 FROM public.table_with_defaults_13300014 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name, default_2
+DEBUG:  predicate pruning for shardId 13300018
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300017 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2'::text AS default_2 FROM public.table_with_defaults_13300017 table_with_defaults WHERE ((hashint4(store_id) >= '-2147483648'::integer) AND (hashint4(store_id) <= '-1'::integer)) GROUP BY last_name, store_id, first_name, default_2
+DEBUG:  predicate pruning for shardId 13300017
+DEBUG:  distributed statement: INSERT INTO public.table_with_defaults_13300018 AS citus_table_alias (store_id, first_name, default_1, default_2) SELECT store_id, 'Andres'::text AS first_name, 1000, '2'::text AS default_2 FROM public.table_with_defaults_13300018 table_with_defaults WHERE ((hashint4(store_id) >= 0) AND (hashint4(store_id) <= 2147483647)) GROUP BY last_name, store_id, first_name, default_2
 DEBUG:  Plan is router executable
 RESET client_min_messages;
 -- Stable function in default should be allowed
diff --git a/src/test/regress/expected/multi_insert_select_behavioral_analytics_basics.out b/src/test/regress/expected/multi_insert_select_behavioral_analytics_basics.out
new file mode 100644
index 000000000..eb6da2a9c
--- /dev/null
+++ b/src/test/regress/expected/multi_insert_select_behavioral_analytics_basics.out
@@ -0,0 +1,457 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query
+------------------------------------
+------------------------------------
+INSERT INTO agg_results (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     5 |     5 | 15.6000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     8 |     8 | 16.1250000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Funnel, grouped by the number of times a user has done an event
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id = subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     8 |     8 | 45.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     6 |     6 | 42.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;    
+ count | count |         avg         
+-------+-------+---------------------
+    33 |    33 | 50.3939393939393939
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in at least two of X and Y and Z segments
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id)
+SELECT user_id
+FROM users_table
+WHERE (value_1 = 10
+       OR value_1 = 11
+       OR value_1 = 12)
+GROUP BY user_id
+HAVING count(distinct value_1) >= 2;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     4 |     4 | 51.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id=users_table.user_id);
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+    34 |    27 | 40.5588235294117647
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who haven’t done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id=users_table.user_id);
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     8 |     7 | 39.7500000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 100
+  AND value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type!=100 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id=users_table.user_id);
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+  1202 |    14 | 47.7462562396006656
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+   205 |     2 | 55.2195121951219512
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+    78 |    34 | 52.4230769230769231
+(1 row)
+
+                                  
+------------------------------------
+------------------------------------
+-- Find me all users_table who logged in more than once
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_1_agg)
+SELECT user_id, value_1 from
+(
+  SELECT user_id, value_1 From users_table
+  WHERE value_2 > 100 and user_id = 15 GROUP BY value_1, user_id HAVING count(*) > 1
+) as a;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     6 |     1 | 15.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Find me all users_table who has done some event and has filters
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+ 
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 30.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Which events_table did people who has done some specific events_table
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id in (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+  3084 |    32 | 44.1498054474708171
+(1 row)
+
+       
+------------------------------------
+------------------------------------
+-- Find me all the users_table who has done some event more than three times
+------------------------------------
+------------------------------------    
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id)
+select user_id from
+(
+  select 
+     user_id
+   from 
+   	events_table
+where event_type = 901 group by user_id having count(*) > 3
+) as a;
+   
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+     1 |     1 | 57.0000000000000000
+(1 row)
+
+       
+------------------------------------
+------------------------------------
+-- Find my assets that have the highest probability and fetch their metadata
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+INSERT INTO agg_results(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+    	users_table AS ma, events_table as short_list
+    WHERE 
+    	short_list.user_id = ma.user_id and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+ count | count |         avg         
+-------+-------+---------------------
+ 14371 |   101 | 50.5232064574490293
+(1 row)
+
+   
diff --git a/src/test/regress/expected/multi_insert_select_behavioral_analytics_single_shard_queries.out b/src/test/regress/expected/multi_insert_select_behavioral_analytics_single_shard_queries.out
new file mode 100644
index 000000000..c04e894f5
--- /dev/null
+++ b/src/test/regress/expected/multi_insert_select_behavioral_analytics_single_shard_queries.out
@@ -0,0 +1,423 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q
+WHERE user_id = 20;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     1 |     1 | 20.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Vanilla funnel query -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id AND 
+    (u.user_id = 13 OR u.user_id = 20) AND 
+    (e.user_id = 13 OR e.user_id = 20)
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q
+WHERE (user_id = 13 OR user_id = 20);
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 16.5000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event -- single shard query
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  WHERE t1.user_id = 20
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event -- two shards query
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE 
+      (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  WHERE (t1.user_id = 20 OR t1.user_id = 17)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 18.5000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table -- single shard query
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        WHERE user_id = 65
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     1 |     1 | 65.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table -- two shards query
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        (user_id = 65 OR user_id = 12) AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND (user_id = 65 OR user_id = 12) AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        WHERE (user_id = 65 OR user_id = 12)
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 38.5000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60)
+    AND user_id = 7;
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;  
+ count | count |        avg         
+-------+-------+--------------------
+     1 |     1 | 7.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20 AND (user_id = 7 OR user_id = 20))
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40 AND (user_id = 7 OR user_id = 20))
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60 AND (user_id = 7 OR user_id = 20))
+    AND (user_id = 7 OR user_id = 20);
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;  
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 13.5000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND user_id = 61;
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     1 |     1 | 61.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND (user_id = 61 OR user_id = 51) AND user_id=users_table.user_id)
+  AND (user_id = 61 OR user_id = 51);
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     2 |     2 | 56.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND user_id = 96
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+   110 |     1 | 96.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND (user_id = 96 OR user_id = 8)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id AND (user_id = 96 OR user_id = 8))
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id AND (user_id = 96 OR user_id = 8));
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+   205 |     2 | 55.2195121951219512
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND user_id = 47
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id
+                            AND user_id = 47
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     6 |     1 | 47.0000000000000000
+(1 row)
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+INSERT INTO agg_results_second(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND (user_id = 47 or user_id = 81)
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id
+                            AND (user_id = 47 or user_id = 81)
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+ count | count |         avg         
+-------+-------+---------------------
+     7 |     2 | 51.8571428571428571
+(1 row)
+
+                                  
diff --git a/src/test/regress/expected/multi_insert_select_non_pushable_queries.out b/src/test/regress/expected/multi_insert_select_non_pushable_queries.out
new file mode 100644
index 000000000..714d60df3
--- /dev/null
+++ b/src/test/regress/expected/multi_insert_select_non_pushable_queries.out
@@ -0,0 +1,667 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query
+------------------------------------
+------------------------------------
+-- not pushable since the JOIN is not an equi join
+INSERT INTO agg_results_third (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id != e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event
+------------------------------------
+------------------------------------
+-- not pushable since the JOIN is not an equi join left part of the UNION
+-- is not equi join
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id != e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the JOIN is not an equi join right part of the UNION
+-- is not joined on the partition key
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.event_type
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- the LEFT JOIN conditon is not on the partition column (i.e., is it part_key divided by 2)
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = (t2.user_id)/2)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Funnel, grouped by the number of times a user has done an event
+------------------------------------
+------------------------------------
+-- not pushable since the right of the UNION query is not joined on
+-- the partition key
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id != events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id = subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the JOIN condition is not equi JOIN
+-- (subquery_1 JOIN subquery_2)
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id > subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+-- not pushable since lateral join is not an equi join
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id != u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since lateral join is not on the partition key
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE event_type = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since lateral join is not on the partition key
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time, value_3 as val_3
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE event_type = u.val_3 AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z
+------------------------------------
+------------------------------------
+-- not pushable since partition key is NOT IN
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id NOT IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since partition key is not selected from the second subquery
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT value_1 FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since second subquery does not return bare partition key
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT 3 * user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since join is not an euqi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id!=users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND event_type = users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Customers who haven’t done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the join is not an equi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id!=users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the join is not the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND event_type=users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Customers who have done X and Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 100
+  AND value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type!=100 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id!=users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the first join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id!=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+  
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the second join is not an equi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id != users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND event_type = users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.value_1 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Find me all users_table who has done some event and has filters
+------------------------------------
+------------------------------------
+-- not pushable due to NOT IN
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id NOT in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25); 
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since we're not selecting the partition key
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id  in
+  (select value_3
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+ 
+ -- not pushable since we're not selecting the partition key
+ -- from the events table
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And event_type  in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Which events_table did people who has done some specific events_table
+------------------------------------
+------------------------------------
+-- not pushable due to NOT IN
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id NOT IN (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable due to not selecting the partition key
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id IN (SELECT value_2 from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable due to not comparing user id from the events table
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE event_type IN (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+------------------------------------
+------------------------------------
+-- Find my assets that have the highest probability and fetch their metadata
+------------------------------------
+------------------------------------
+-- not pushable since the join is not an equi join
+INSERT INTO agg_results_third(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+      users_table AS ma, events_table as short_list
+    WHERE 
+      short_list.user_id != ma.user_id and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
+-- not pushable since the join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+      users_table AS ma, events_table as short_list
+    WHERE 
+      short_list.user_id = ma.value_2 and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;
+ERROR:  cannot perform distributed planning for the given modification
+DETAIL:  Select query cannot be pushed down to the worker.
diff --git a/src/test/regress/input/multi_insert_select_behavioral_analytics_create_table.source b/src/test/regress/input/multi_insert_select_behavioral_analytics_create_table.source
new file mode 100644
index 000000000..e68fe2edf
--- /dev/null
+++ b/src/test/regress/input/multi_insert_select_behavioral_analytics_create_table.source
@@ -0,0 +1,43 @@
+--
+-- multi insert select behavioral analytics
+-- this file is intended to create the table requires for the tests
+--
+
+ALTER SEQUENCE pg_catalog.pg_dist_shardid_seq RESTART 1400000;
+ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 1400000;
+
+SET citus.shard_replication_factor = 1;
+SET citus.shard_count = 4;
+
+CREATE TABLE users_table (user_id int, time timestamp, value_1 int, value_2 int, value_3 float, value_4 bigint);
+SELECT create_distributed_table('users_table', 'user_id');
+
+CREATE TABLE events_table (user_id int, time timestamp, event_type int, value_2 int, value_3 float, value_4 bigint);
+SELECT create_distributed_table('events_table', 'user_id');
+
+CREATE TABLE agg_results (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results', 'user_id');
+
+-- we need this to improve the concurrency on the regression tests
+CREATE TABLE agg_results_second (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_second', 'user_id');
+
+-- same as agg_results_second
+CREATE TABLE agg_results_third (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_third', 'user_id');
+
+-- same as agg_results_second
+CREATE TABLE agg_results_fourth (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_fourth', 'user_id');
+
+COPY users_table FROM '@abs_srcdir@/data/users_table.data' WITH CSV;
+COPY events_table FROM '@abs_srcdir@/data/events_table.data' WITH CSV;
+
+-- create indexes for 
+CREATE INDEX is_index1 ON users_table(user_id);
+CREATE INDEX is_index2 ON events_table(user_id);
+CREATE INDEX is_index3 ON users_table(value_1);
+CREATE INDEX is_index4 ON events_table(event_type);
+CREATE INDEX is_index5 ON users_table(value_2);
+CREATE INDEX is_index6 ON events_table(value_2);
+
diff --git a/src/test/regress/multi_schedule b/src/test/regress/multi_schedule
index 986ccce31..3ffb820be 100644
--- a/src/test/regress/multi_schedule
+++ b/src/test/regress/multi_schedule
@@ -30,6 +30,8 @@ test: multi_create_table_constraints
 test: multi_master_protocol
 test: multi_load_data
 
+test: multi_insert_select_behavioral_analytics_create_table
+test: multi_insert_select_behavioral_analytics_basics multi_insert_select_behavioral_analytics_single_shard_queries multi_insert_select_non_pushable_queries
 test: multi_insert_select
 
 # ----------
diff --git a/src/test/regress/output/multi_insert_select_behavioral_analytics_create_table.source b/src/test/regress/output/multi_insert_select_behavioral_analytics_create_table.source
new file mode 100644
index 000000000..c149e77a8
--- /dev/null
+++ b/src/test/regress/output/multi_insert_select_behavioral_analytics_create_table.source
@@ -0,0 +1,64 @@
+--
+-- multi insert select behavioral analytics
+-- this file is intended to create the table requires for the tests
+--
+ALTER SEQUENCE pg_catalog.pg_dist_shardid_seq RESTART 1400000;
+ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 1400000;
+SET citus.shard_replication_factor = 1;
+SET citus.shard_count = 4;
+CREATE TABLE users_table (user_id int, time timestamp, value_1 int, value_2 int, value_3 float, value_4 bigint);
+SELECT create_distributed_table('users_table', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+CREATE TABLE events_table (user_id int, time timestamp, event_type int, value_2 int, value_3 float, value_4 bigint);
+SELECT create_distributed_table('events_table', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+CREATE TABLE agg_results (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+-- we need this to improve the concurrency on the regression tests
+CREATE TABLE agg_results_second (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_second', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+-- same as agg_results_second
+CREATE TABLE agg_results_third (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_third', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+-- same as agg_results_second
+CREATE TABLE agg_results_fourth (user_id int, value_1_agg int, value_2_agg int, value_3_agg float, value_4_agg bigint, agg_time timestamp);
+SELECT create_distributed_table('agg_results_fourth', 'user_id');
+ create_distributed_table 
+--------------------------
+ 
+(1 row)
+
+COPY users_table FROM '@abs_srcdir@/data/users_table.data' WITH CSV;
+COPY events_table FROM '@abs_srcdir@/data/events_table.data' WITH CSV;
+-- create indexes for 
+CREATE INDEX is_index1 ON users_table(user_id);
+NOTICE:  using one-phase commit for distributed DDL commands
+HINT:  You can enable two-phase commit for extra safety with: SET citus.multi_shard_commit_protocol TO '2pc'
+CREATE INDEX is_index2 ON events_table(user_id);
+CREATE INDEX is_index3 ON users_table(value_1);
+CREATE INDEX is_index4 ON events_table(event_type);
+CREATE INDEX is_index5 ON users_table(value_2);
+CREATE INDEX is_index6 ON events_table(value_2);
diff --git a/src/test/regress/sql/multi_insert_select.sql b/src/test/regress/sql/multi_insert_select.sql
index 6580f9e21..f1f68c7fb 100644
--- a/src/test/regress/sql/multi_insert_select.sql
+++ b/src/test/regress/sql/multi_insert_select.sql
@@ -22,6 +22,9 @@ SELECT create_distributed_table('agg_events', 'user_id');;
 CREATE TABLE reference_table (user_id int);
 SELECT create_reference_table('reference_table');
 
+CREATE TABLE insert_select_varchar_test (key varchar, value int);
+SELECT create_distributed_table('insert_select_varchar_test', 'key', 'hash');
+
 -- set back to the defaults
 SET citus.shard_count = DEFAULT;
 SET citus.shard_replication_factor = DEFAULT;
@@ -1063,7 +1066,193 @@ ON (f.id = f2.id)
 WHERE f.id IN (SELECT value_1
                FROM   raw_events_second);
 
+-- some more semi-anti join tests
 
+-- join in where
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (SELECT raw_events_second.user_id
+                   FROM   raw_events_second, raw_events_first
+                   WHERE  raw_events_second.user_id = raw_events_first.user_id AND raw_events_first.user_id = 200);
+
+-- we cannot push this down since it is NOT IN
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id NOT IN (SELECT raw_events_second.user_id
+                   FROM   raw_events_second, raw_events_first
+                   WHERE  raw_events_second.user_id = raw_events_first.user_id AND raw_events_first.user_id = 200);
+
+
+-- safe to push down
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  EXISTS (SELECT 1
+                   FROM   raw_events_second
+                   WHERE  raw_events_second.user_id =raw_events_first.user_id);
+
+-- we cannot push down
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  NOT EXISTS (SELECT 1
+                   FROM   raw_events_second
+                   WHERE  raw_events_second.user_id =raw_events_first.user_id);
+
+
+-- more complex LEFT JOINs 
+ INSERT INTO agg_events
+             (user_id, value_4_agg)
+ SELECT
+   outer_most.id, max(outer_most.value)
+ FROM
+ (
+   SELECT f2.id as id, f2.v4 as value FROM
+     (SELECT
+           id
+       FROM   (SELECT raw_events_first.user_id      AS id
+                FROM   raw_events_first LEFT JOIN
+                       reference_table
+             ON (raw_events_first.user_id = reference_table.user_id)) AS foo) as f
+   LEFT JOIN
+     (SELECT v4,
+           v1,
+           id
+     FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+                SUM(raw_events_first.value_1) AS v1,
+                raw_events_second.user_id      AS id
+             FROM   raw_events_first,
+                     raw_events_second
+             WHERE  raw_events_first.user_id = raw_events_second.user_id
+             GROUP  BY raw_events_second.user_id
+             HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ ON (f.id = f2.id)) as outer_most
+ GROUP BY
+   outer_most.id;
+
+
+-- cannot push down since the f.id IN is matched with value_1
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT value_1
+               FROM   raw_events_second));
+
+-- same as above, but this time is it safe to push down since
+-- f.id IN is matched with user_id
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
+
+-- cannot push down since top level user_id is matched with NOT IN
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id NOT IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id = f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
+
+-- cannot push down since join is not equi join (f.id > f2.id)
+INSERT INTO raw_events_second
+            (user_id)
+SELECT user_id
+FROM   raw_events_first
+WHERE  user_id IN (
+SELECT f2.id FROM
+(SELECT
+      id
+FROM   (SELECT reference_table.user_id      AS id
+        FROM   raw_events_first,
+               reference_table
+        WHERE  raw_events_first.user_id = reference_table.user_id ) AS foo) as f
+INNER JOIN
+(SELECT v4,
+       v1,
+       id
+FROM   (SELECT SUM(raw_events_second.value_4) AS v4,
+               SUM(raw_events_first.value_1) AS v1,
+               raw_events_second.user_id      AS id
+        FROM   raw_events_first,
+               raw_events_second
+        WHERE  raw_events_first.user_id = raw_events_second.user_id
+        GROUP  BY raw_events_second.user_id
+        HAVING SUM(raw_events_second.value_4) > 10) AS foo2 ) as f2
+ON (f.id > f2.id)
+WHERE f.id IN (SELECT user_id
+               FROM   raw_events_second));
 
 -- we currently not support grouping sets
 INSERT INTO agg_events
@@ -1198,8 +1387,30 @@ SET client_min_messages TO DEBUG2;
 -- this should also work
 INSERT INTO raw_events_first SELECT * FROM raw_events_second WHERE user_id = 5;
 
-
 SET client_min_messages TO INFO;
+
+-- now do some tests with varchars
+INSERT INTO insert_select_varchar_test VALUES ('test_1', 10);
+INSERT INTO insert_select_varchar_test VALUES ('test_2', 30);
+
+INSERT INTO insert_select_varchar_test (key, value)
+SELECT *, 100
+FROM   (SELECT f1.key
+        FROM   (SELECT key
+                FROM   insert_select_varchar_test 
+                GROUP  BY 1
+                HAVING Count(key) < 3) AS f1, 
+               (SELECT key 
+                FROM   insert_select_varchar_test 
+                GROUP  BY 1 
+                HAVING Sum(COALESCE(insert_select_varchar_test.value, 0)) > 
+                       20.0) 
+               AS f2 
+        WHERE  f1.key = f2.key 
+        GROUP  BY 1) AS foo; 
+
+SELECT * FROM insert_select_varchar_test;
+
 -- some tests with DEFAULT columns and constant values
 -- this test is mostly importantly intended for deparsing the query correctly
 -- but still it is preferable to have this test here instead of multi_deparse_shard_query
diff --git a/src/test/regress/sql/multi_insert_select_behavioral_analytics_basics.sql b/src/test/regress/sql/multi_insert_select_behavioral_analytics_basics.sql
new file mode 100644
index 000000000..4e13cf170
--- /dev/null
+++ b/src/test/regress/sql/multi_insert_select_behavioral_analytics_basics.sql
@@ -0,0 +1,420 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query
+------------------------------------
+------------------------------------
+INSERT INTO agg_results (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Funnel, grouped by the number of times a user has done an event
+------------------------------------
+------------------------------------
+
+TRUNCATE agg_results;
+
+INSERT INTO agg_results (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id = subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z
+------------------------------------
+------------------------------------
+
+TRUNCATE agg_results;
+
+INSERT INTO agg_results (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;    
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in at least two of X and Y and Z segments
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id)
+SELECT user_id
+FROM users_table
+WHERE (value_1 = 10
+       OR value_1 = 11
+       OR value_1 = 12)
+GROUP BY user_id
+HAVING count(distinct value_1) >= 2;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id=users_table.user_id);
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Customers who haven’t done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id=users_table.user_id);
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 100
+  AND value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type!=100 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id=users_table.user_id);
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+                                  
+------------------------------------
+------------------------------------
+-- Find me all users_table who logged in more than once
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_1_agg)
+SELECT user_id, value_1 from
+(
+  SELECT user_id, value_1 From users_table
+  WHERE value_2 > 100 and user_id = 15 GROUP BY value_1, user_id HAVING count(*) > 1
+) as a;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Find me all users_table who has done some event and has filters
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+ 
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+
+------------------------------------
+------------------------------------
+-- Which events_table did people who has done some specific events_table
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id in (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+       
+------------------------------------
+------------------------------------
+-- Find me all the users_table who has done some event more than three times
+------------------------------------
+------------------------------------    
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id)
+select user_id from
+(
+  select 
+     user_id
+   from 
+   	events_table
+where event_type = 901 group by user_id having count(*) > 3
+) as a;
+   
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+       
+------------------------------------
+------------------------------------
+-- Find my assets that have the highest probability and fetch their metadata
+------------------------------------
+------------------------------------
+TRUNCATE agg_results;
+
+INSERT INTO agg_results(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+    	users_table AS ma, events_table as short_list
+    WHERE 
+    	short_list.user_id = ma.user_id and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results;
+   
\ No newline at end of file
diff --git a/src/test/regress/sql/multi_insert_select_behavioral_analytics_single_shard_queries.sql b/src/test/regress/sql/multi_insert_select_behavioral_analytics_single_shard_queries.sql
new file mode 100644
index 000000000..a3c4cbd3f
--- /dev/null
+++ b/src/test/regress/sql/multi_insert_select_behavioral_analytics_single_shard_queries.sql
@@ -0,0 +1,401 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q
+WHERE user_id = 20;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+-- Vanilla funnel query -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id = e.user_id AND 
+    (u.user_id = 13 OR u.user_id = 20) AND 
+    (e.user_id = 13 OR e.user_id = 20)
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q
+WHERE (user_id = 13 OR user_id = 20);
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event -- single shard query
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  WHERE t1.user_id = 20
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event -- two shards query
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE 
+      (e.user_id = 20 OR e.user_id = 17)
+      AND e.event_type IN (106, 107, 108)
+  ) t2 ON (t1.user_id = t2.user_id)
+  WHERE (t1.user_id = 20 OR t1.user_id = 17)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table -- single shard query
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        WHERE user_id = 65
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table -- two shards query
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        (user_id = 65 OR user_id = 12) AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id = u.user_id AND (user_id = 65 OR user_id = 12) AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        WHERE (user_id = 65 OR user_id = 12)
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z -- single shard
+------------------------------------
+------------------------------------
+
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60)
+    AND user_id = 7;
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;  
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z -- two shards
+------------------------------------
+------------------------------------
+
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20 AND (user_id = 7 OR user_id = 20))
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40 AND (user_id = 7 OR user_id = 20))
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60 AND (user_id = 7 OR user_id = 20))
+    AND (user_id = 7 OR user_id = 20);
+    
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;  
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND user_id = 61;
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND (user_id = 61 OR user_id = 51) AND user_id=users_table.user_id)
+  AND (user_id = 61 OR user_id = 51);
+
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND user_id = 96
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND (user_id = 96 OR user_id = 8)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id=users_table.user_id AND (user_id = 96 OR user_id = 8))
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id AND (user_id = 96 OR user_id = 8));
+  
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria -- single shard
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND user_id = 47
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id
+                            AND user_id = 47
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria -- two shards
+------------------------------------
+------------------------------------
+TRUNCATE agg_results_second;
+
+INSERT INTO agg_results_second(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND (user_id = 47 or user_id = 81)
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.user_id
+                            AND (user_id = 47 or user_id = 81)
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+                     
+-- get some statistics from the aggregated results to ensure the results are correct
+SELECT count(*), count(DISTINCT user_id), avg(user_id) FROM agg_results_second;
+                                  
\ No newline at end of file
diff --git a/src/test/regress/sql/multi_insert_select_non_pushable_queries.sql b/src/test/regress/sql/multi_insert_select_non_pushable_queries.sql
new file mode 100644
index 000000000..c7089903b
--- /dev/null
+++ b/src/test/regress/sql/multi_insert_select_non_pushable_queries.sql
@@ -0,0 +1,651 @@
+------------------------------------
+------------------------------------
+-- Vanilla funnel query
+------------------------------------
+------------------------------------
+
+-- not pushable since the JOIN is not an equi join
+INSERT INTO agg_results_third (user_id, value_1_agg)
+SELECT user_id, array_length(events_table, 1)
+FROM (
+  SELECT user_id, array_agg(event ORDER BY time) AS events_table
+  FROM (
+    SELECT u.user_id, e.event_type::text AS event, e.time
+    FROM users_table AS u,
+         events_table AS e
+    WHERE u.user_id != e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+  ) t
+  GROUP BY user_id
+) q;
+
+------------------------------------
+------------------------------------
+--  Funnel grouped by whether or not a user has done an event
+------------------------------------
+------------------------------------
+
+-- not pushable since the JOIN is not an equi join left part of the UNION
+-- is not equi join
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id != e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+-- not pushable since the JOIN is not an equi join right part of the UNION
+-- is not joined on the partition key
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.event_type
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+
+  ) t2 ON (t1.user_id = t2.user_id)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+-- the LEFT JOIN conditon is not on the partition column (i.e., is it part_key divided by 2)
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg )
+SELECT user_id, sum(array_length(events_table, 1)), length(hasdone_event)
+FROM (
+  SELECT
+    t1.user_id,
+    array_agg(event ORDER BY time) AS events_table,
+    COALESCE(hasdone_event, 'Has not done event') AS hasdone_event
+  FROM (
+    (
+      SELECT u.user_id, 'step=>1'::text AS event, e.time
+      FROM users_table AS u,
+          events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (100, 101, 102)
+    )
+    UNION
+    (
+      SELECT u.user_id, 'step=>2'::text AS event, e.time
+      FROM users_table AS u,
+         events_table AS e
+      WHERE  u.user_id = e.user_id
+      AND u.user_id >= 10
+      AND u.user_id <= 25
+      AND e.event_type IN (103, 104, 105)
+    )
+  ) t1 LEFT JOIN (
+      SELECT DISTINCT user_id, 
+        'Has done event'::TEXT AS hasdone_event
+      FROM  events_table AS e
+      
+      WHERE  e.user_id >= 10
+      AND e.user_id <= 25
+      AND e.event_type IN (106, 107, 108)
+
+  ) t2 ON (t1.user_id = (t2.user_id)/2)
+  GROUP BY  t1.user_id, hasdone_event
+) t GROUP BY user_id, hasdone_event;
+
+------------------------------------
+------------------------------------
+-- Funnel, grouped by the number of times a user has done an event
+------------------------------------
+------------------------------------
+
+-- not pushable since the right of the UNION query is not joined on
+-- the partition key
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id != events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id = subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+
+-- not pushable since the JOIN condition is not equi JOIN
+-- (subquery_1 JOIN subquery_2)
+INSERT INTO agg_results_third (user_id, value_1_agg, value_2_agg)
+SELECT
+  user_id,
+  avg(array_length(events_table, 1)) AS event_average,
+  count_pay
+  FROM (
+  SELECT
+  subquery_1.user_id,
+  array_agg(event ORDER BY time) AS events_table,
+  COALESCE(count_pay, 0) AS count_pay
+  FROM
+  (
+    (SELECT
+      users_table.user_id,
+      'action=>1'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 10 AND events_table.event_type < 12
+      )
+    UNION
+    (SELECT
+      users_table.user_id,
+      'action=>2'AS event,
+      events_table.time
+    FROM
+      users_table,
+      events_table
+    WHERE
+      users_table.user_id = events_table.user_id AND
+      users_table.user_id >= 10 AND
+      users_table.user_id <= 70 AND
+      events_table.event_type > 12 AND events_table.event_type < 14
+    )
+  ) AS subquery_1
+  LEFT JOIN
+    (SELECT
+       user_id,
+      COUNT(*) AS count_pay
+    FROM
+      users_table
+    WHERE
+      user_id >= 10 AND
+      user_id <= 70 AND    
+      users_table.value_1 > 15 AND users_table.value_1 < 17
+    GROUP BY
+      user_id
+    HAVING
+      COUNT(*) > 1) AS subquery_2
+  ON
+    subquery_1.user_id > subquery_2.user_id
+  GROUP BY
+    subquery_1.user_id,
+    count_pay) AS subquery_top
+WHERE
+  array_ndims(events_table) > 0
+GROUP BY
+  count_pay, user_id
+ORDER BY
+  count_pay;
+
+------------------------------------
+------------------------------------
+-- Most recently seen users_table events_table
+------------------------------------
+-- Note that we don't use ORDER BY/LIMIT yet
+------------------------------------
+------------------------------------
+-- not pushable since lateral join is not an equi join
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE user_id != u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+-- not pushable since lateral join is not on the partition key
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE event_type = u.user_id AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+-- not pushable since lateral join is not on the partition key
+INSERT INTO agg_results_third (user_id, agg_time, value_2_agg)
+SELECT
+    user_id,
+    user_lastseen,
+    array_length(event_array, 1)
+FROM (
+    SELECT
+        user_id,
+        max(u.time) as user_lastseen,
+        array_agg(event_type ORDER BY u.time) AS event_array
+    FROM (
+        
+        SELECT user_id, time, value_3 as val_3
+        FROM users_table
+        WHERE
+        user_id >= 10 AND
+        user_id <= 70 AND
+        users_table.value_1 > 10 AND users_table.value_1 < 12
+
+        ) u LEFT JOIN LATERAL (
+          SELECT event_type, time
+          FROM events_table
+          WHERE event_type = u.val_3 AND
+          events_table.event_type > 10 AND events_table.event_type < 12
+        ) t ON true
+        GROUP BY user_id
+) AS shard_union
+ORDER BY user_lastseen DESC;
+
+------------------------------------
+------------------------------------
+-- Count the number of distinct users_table who are in segment X and Y and Z
+------------------------------------
+------------------------------------
+
+-- not pushable since partition key is NOT IN
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id NOT IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+
+-- not pushable since partition key is not selected from the second subquery
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT value_1 FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+
+-- not pushable since second subquery does not return bare partition key
+INSERT INTO agg_results_third (user_id)
+SELECT DISTINCT user_id
+FROM users_table
+WHERE user_id IN (SELECT user_id FROM users_table WHERE value_1 >= 10 AND value_1 <= 20)
+    AND user_id IN (SELECT 3 * user_id FROM users_table WHERE value_1 >= 30 AND value_1 <= 40)
+    AND user_id IN (SELECT user_id FROM users_table WHERE  value_1 >= 50 AND value_1 <= 60);
+
+------------------------------------
+------------------------------------
+-- Find customers who have done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+
+-- not pushable since join is not an euqi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND user_id!=users_table.user_id);
+
+-- not pushable since the join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 101 AND value_1 < 110
+  AND value_2 >= 5
+  AND EXISTS (SELECT user_id FROM events_table WHERE event_type>101  AND event_type < 110 AND value_3 > 100 AND event_type = users_table.user_id);
+
+------------------------------------
+------------------------------------
+-- Customers who haven’t done X, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the join is not an equi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id!=users_table.user_id);
+
+-- not pushable since the join is not the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 = 101
+  AND value_2 >= 5
+  AND NOT EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND event_type=users_table.user_id);
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_1 > 100
+  AND value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type!=100 AND value_3 > 100 AND user_id=users_table.user_id)
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type=101 AND value_3 > 100 AND user_id!=users_table.user_id);
+
+------------------------------------
+------------------------------------
+-- Customers who have done X and haven’t done Y, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+
+-- not pushable since the first join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+SELECT user_id, value_2 FROM users_table WHERE
+  value_2 >= 5
+  AND  EXISTS (SELECT user_id FROM events_table WHERE event_type > 100 AND event_type <= 300 AND value_3 > 100 AND user_id!=users_table.user_id)
+  AND  NOT EXISTS (SELECT user_id FROM events_table WHERE event_type > 300 AND event_type <= 350  AND value_3 > 100 AND user_id=users_table.user_id);
+  
+------------------------------------
+------------------------------------
+-- Customers who have done X more than 2 times, and satisfy other customer specific criteria
+------------------------------------
+------------------------------------
+
+-- not pushable since the second join is not an equi join
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id != users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND event_type = users_table.user_id 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+
+-- not pushable since the second join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_2_agg)
+  SELECT user_id, 
+         value_2 
+  FROM   users_table
+  WHERE  value_1 > 100 
+         AND value_1 < 124 
+         AND value_2 >= 5 
+         AND EXISTS (SELECT user_id 
+                     FROM   events_table
+                     WHERE  event_type > 100 
+                            AND event_type < 124 
+                            AND value_3 > 100 
+                            AND user_id = users_table.value_1 
+                     GROUP  BY user_id 
+                     HAVING Count(*) > 2);
+
+------------------------------------
+------------------------------------
+-- Find me all users_table who has done some event and has filters
+------------------------------------
+------------------------------------
+
+-- not pushable due to NOT IN
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id NOT in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25); 
+
+-- not pushable since we're not selecting the partition key
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And user_id  in
+  (select value_3
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+ 
+ -- not pushable since we're not selecting the partition key
+ -- from the events table
+INSERT INTO agg_results_third(user_id)
+Select user_id
+From events_table
+Where event_type = 16
+And value_2 > 50
+And event_type  in
+  (select user_id
+   From users_table
+   Where value_1 = 15
+   And value_2 > 25);  
+
+------------------------------------
+------------------------------------
+-- Which events_table did people who has done some specific events_table
+------------------------------------
+------------------------------------
+
+-- not pushable due to NOT IN
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id NOT IN (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+
+-- not pushable due to not selecting the partition key
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE user_id IN (SELECT value_2 from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+
+-- not pushable due to not comparing user id from the events table
+INSERT INTO agg_results_third(user_id, value_1_agg)
+SELECT user_id, event_type FROM events_table
+WHERE event_type IN (SELECT user_id from events_table WHERE event_type > 500 and event_type < 505)
+GROUP BY user_id, event_type;
+
+------------------------------------
+------------------------------------
+-- Find my assets that have the highest probability and fetch their metadata
+------------------------------------
+------------------------------------
+
+-- not pushable since the join is not an equi join
+INSERT INTO agg_results_third(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+      users_table AS ma, events_table as short_list
+    WHERE 
+      short_list.user_id != ma.user_id and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;
+
+-- not pushable since the join is not on the partition key
+INSERT INTO agg_results_third(user_id, value_1_agg, value_3_agg)
+SELECT
+    users_table.user_id, users_table.value_1, prob
+FROM 
+   users_table
+        JOIN 
+   (SELECT  
+      ma.user_id, (GREATEST(coalesce(ma.value_4 / 250, 0.0) + GREATEST(1.0))) / 2 AS prob
+    FROM 
+      users_table AS ma, events_table as short_list
+    WHERE 
+      short_list.user_id = ma.value_2 and ma.value_1 < 50 and short_list.event_type < 50
+    ) temp 
+  ON users_table.user_id = temp.user_id 
+  WHERE users_table.value_1 < 50;