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Merge pull request #1185 from citusdata/custom_plan 

Use CustomScan API for query execution
pull/1267/head
Metin Döşlü 2017-03-14 11:39:16 +02:00 committed by GitHub
parent 6f4886cd11 1f838199f8
commit d9c08c10f4
52 changed files with 3042 additions and 3288 deletions
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592
src/backend/distributed/executor/multi_executor.c
View File

@ -24,273 +24,419 @@
#include "distributed/multi_utility.h"
#include "distributed/worker_protocol.h"
#include "executor/execdebug.h"
#include "commands/copy.h"
#include "nodes/makefuncs.h"
#include "storage/lmgr.h"
#include "tcop/utility.h"
#include "utils/snapmgr.h"
static void CopyQueryResults(List *masterCopyStmtList);
#include "utils/memutils.h"
/*
* multi_ExecutorStart is a hook called at at the beginning of any execution
* of any query plan.
*
* If a distributed relation is the target of the query, perform some validity
* checks. If a legal statement, start the distributed execution. After that
* the to-be-executed query is replaced with the portion executing solely on
* the master.
* Define executor methods for the different executor types.
*/
void
multi_ExecutorStart(QueryDesc *queryDesc, int eflags)
static CustomExecMethods RealTimeCustomExecMethods = {
.CustomName = "RealTimeScan",
.BeginCustomScan = CitusSelectBeginScan,
.ExecCustomScan = RealTimeExecScan,
.EndCustomScan = CitusEndScan,
.ReScanCustomScan = CitusReScan,
.ExplainCustomScan = CitusExplainScan
};
static CustomExecMethods TaskTrackerCustomExecMethods = {
.CustomName = "TaskTrackerScan",
.BeginCustomScan = CitusSelectBeginScan,
.ExecCustomScan = TaskTrackerExecScan,
.EndCustomScan = CitusEndScan,
.ReScanCustomScan = CitusReScan,
.ExplainCustomScan = CitusExplainScan
};
static CustomExecMethods RouterSingleModifyCustomExecMethods = {
.CustomName = "RouterSingleModifyScan",
.BeginCustomScan = CitusModifyBeginScan,
.ExecCustomScan = RouterSingleModifyExecScan,
.EndCustomScan = CitusEndScan,
.ReScanCustomScan = CitusReScan,
.ExplainCustomScan = CitusExplainScan
};
static CustomExecMethods RouterMultiModifyCustomExecMethods = {
.CustomName = "RouterMultiModifyScan",
.BeginCustomScan = CitusModifyBeginScan,
.ExecCustomScan = RouterMultiModifyExecScan,
.EndCustomScan = CitusEndScan,
.ReScanCustomScan = CitusReScan,
.ExplainCustomScan = CitusExplainScan
};
static CustomExecMethods RouterSelectCustomExecMethods = {
.CustomName = "RouterSelectScan",
.BeginCustomScan = CitusSelectBeginScan,
.ExecCustomScan = RouterSelectExecScan,
.EndCustomScan = CitusEndScan,
.ReScanCustomScan = CitusReScan,
.ExplainCustomScan = CitusExplainScan
};
/* local function forward declarations */
static void PrepareMasterJobDirectory(Job *workerJob);
static void LoadTuplesIntoTupleStore(CitusScanState *citusScanState, Job *workerJob);
static Relation StubRelation(TupleDesc tupleDescriptor);
/*
* RealTimeCreateScan creates the scan state for real-time executor queries.
*/
Node *
RealTimeCreateScan(CustomScan *scan)
{
PlannedStmt *planStatement = queryDesc->plannedstmt;
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
if (HasCitusToplevelNode(planStatement))
scanState->executorType = MULTI_EXECUTOR_REAL_TIME;
scanState->customScanState.ss.ps.type = T_CustomScanState;
scanState->multiPlan = GetMultiPlan(scan);
scanState->customScanState.methods = &RealTimeCustomExecMethods;
return (Node *) scanState;
}
/*
* TaskTrackerCreateScan creates the scan state for task-tracker executor queries.
*/
Node *
TaskTrackerCreateScan(CustomScan *scan)
{
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
scanState->executorType = MULTI_EXECUTOR_TASK_TRACKER;
scanState->customScanState.ss.ps.type = T_CustomScanState;
scanState->multiPlan = GetMultiPlan(scan);
scanState->customScanState.methods = &TaskTrackerCustomExecMethods;
return (Node *) scanState;
}
/*
* RouterCreateScan creates the scan state for router executor queries.
*/
Node *
RouterCreateScan(CustomScan *scan)
{
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
MultiPlan *multiPlan = NULL;
Job *workerJob = NULL;
List *taskList = NIL;
bool isModificationQuery = false;
scanState->executorType = MULTI_EXECUTOR_ROUTER;
scanState->customScanState.ss.ps.type = T_CustomScanState;
scanState->multiPlan = GetMultiPlan(scan);
multiPlan = scanState->multiPlan;
workerJob = multiPlan->workerJob;
taskList = workerJob->taskList;
isModificationQuery = IsModifyMultiPlan(multiPlan);
/* check if this is a single shard query */
if (list_length(taskList) == 1)
{
MultiPlan *multiPlan = GetMultiPlan(planStatement);
MultiExecutorType executorType = MULTI_EXECUTOR_INVALID_FIRST;
Job *workerJob = multiPlan->workerJob;
/* ensure plan is executable */
VerifyMultiPlanValidity(multiPlan);
ExecCheckRTPerms(planStatement->rtable, true);
executorType = JobExecutorType(multiPlan);
if (executorType == MULTI_EXECUTOR_ROUTER)
if (isModificationQuery)
{
List *taskList = workerJob->taskList;
TupleDesc tupleDescriptor = ExecCleanTypeFromTL(
planStatement->planTree->targetlist, false);
List *dependendJobList PG_USED_FOR_ASSERTS_ONLY = workerJob->dependedJobList;
/* router executor cannot execute task with depencencies */
Assert(dependendJobList == NIL);
/* we need to set tupleDesc in executorStart */
queryDesc->tupDesc = tupleDescriptor;
/* drop into the router executor */
RouterExecutorStart(queryDesc, eflags, taskList);
scanState->customScanState.methods = &RouterSingleModifyCustomExecMethods;
}
else
{
PlannedStmt *masterSelectPlan = MasterNodeSelectPlan(multiPlan);
CreateStmt *masterCreateStmt = MasterNodeCreateStatement(multiPlan);
List *masterCopyStmtList = MasterNodeCopyStatementList(multiPlan);
RangeTblEntry *masterRangeTableEntry = NULL;
StringInfo jobDirectoryName = NULL;
/*
* We create a directory on the master node to keep task execution results.
* We also register this directory for automatic cleanup on portal delete.
*/
jobDirectoryName = MasterJobDirectoryName(workerJob->jobId);
CreateDirectory(jobDirectoryName);
ResourceOwnerEnlargeJobDirectories(CurrentResourceOwner);
ResourceOwnerRememberJobDirectory(CurrentResourceOwner, workerJob->jobId);
/* pick distributed executor to use */
if (eflags & EXEC_FLAG_EXPLAIN_ONLY)
{
/* skip distributed query execution for EXPLAIN commands */
}
else if (executorType == MULTI_EXECUTOR_REAL_TIME)
{
MultiRealTimeExecute(workerJob);
}
else if (executorType == MULTI_EXECUTOR_TASK_TRACKER)
{
MultiTaskTrackerExecute(workerJob);
}
/* then create the result relation */
ProcessUtility((Node *) masterCreateStmt,
"(temp table creation)",
PROCESS_UTILITY_QUERY,
NULL,
None_Receiver,
NULL);
/* make the temporary table visible */
CommandCounterIncrement();
if (!(eflags & EXEC_FLAG_EXPLAIN_ONLY))
{
CopyQueryResults(masterCopyStmtList);
}
/*
* Update the QueryDesc's snapshot so it sees the table. That's not
* particularly pretty, but we don't have much of a choice. One might
* think we could unregister the snapshot, push a new active one,
* update it, register it, and be happy. That only works if it's only
* registered once though...
*/
queryDesc->snapshot->curcid = GetCurrentCommandId(false);
/*
* Set the OID of the RTE used in the master select statement to point
* to the now created (and filled) temporary table. The target
* relation's oid is only known now.
*/
masterRangeTableEntry =
(RangeTblEntry *) linitial(masterSelectPlan->rtable);
masterRangeTableEntry->relid =
RelnameGetRelid(masterRangeTableEntry->eref->aliasname);
/*
* Replace to-be-run query with the master select query. As the
* planned statement is now replaced we can't call GetMultiPlan() in
* the later hooks, so we set a flag marking this as a distributed
* statement running on the master. That e.g. allows us to drop the
* temp table later.
*
* We copy the original statement's queryId, to allow
* pg_stat_statements and similar extension to associate the
* statement with the toplevel statement.
*/
masterSelectPlan->queryId = queryDesc->plannedstmt->queryId;
queryDesc->plannedstmt = masterSelectPlan;
eflags |= EXEC_FLAG_CITUS_MASTER_SELECT;
scanState->customScanState.methods = &RouterSelectCustomExecMethods;
}
}
/* if the execution is not done for router executor, drop into standard executor */
if (queryDesc->estate == NULL ||
!(queryDesc->estate->es_top_eflags & EXEC_FLAG_CITUS_ROUTER_EXECUTOR))
else
{
standard_ExecutorStart(queryDesc, eflags);
Assert(isModificationQuery);
scanState->customScanState.methods = &RouterMultiModifyCustomExecMethods;
}
return (Node *) scanState;
}
/*
* CopyQueryResults executes the commands that copy query results into a
* temporary table.
* DelayedErrorCreateScan is only called if we could not plan for the given
* query. This is the case when a plan is not ready for execution because
* CreateDistributedPlan() couldn't find a plan due to unresolved prepared
* statement parameters, but didn't error out, because we expect custom plans
* to come to our rescue. But sql (not plpgsql) functions unfortunately don't
* go through a codepath supporting custom plans. Here, we error out with this
* delayed error message.
*/
Node *
DelayedErrorCreateScan(CustomScan *scan)
{
MultiPlan *multiPlan = GetMultiPlan(scan);
/* raise the deferred error */
RaiseDeferredError(multiPlan->planningError, ERROR);
return NULL;
}
/*
* CitusSelectBeginScan is an empty function for BeginCustomScan callback.
*/
void
CitusSelectBeginScan(CustomScanState *node, EState *estate, int eflags)
{
/* just an empty function */
}
/*
* RealTimeExecScan is a callback function which returns next tuple from a real-time
* execution. In the first call, it executes distributed real-time plan and loads
* results from temporary files into custom scan's tuple store. Then, it returns
* tuples one by one from this tuple store.
*/
TupleTableSlot *
RealTimeExecScan(CustomScanState *node)
{
CitusScanState *scanState = (CitusScanState *) node;
TupleTableSlot *resultSlot = NULL;
if (!scanState->finishedRemoteScan)
{
MultiPlan *multiPlan = scanState->multiPlan;
Job *workerJob = multiPlan->workerJob;
PrepareMasterJobDirectory(workerJob);
MultiRealTimeExecute(workerJob);
LoadTuplesIntoTupleStore(scanState, workerJob);
scanState->finishedRemoteScan = true;
}
resultSlot = ReturnTupleFromTuplestore(scanState);
return resultSlot;
}
/*
* PrepareMasterJobDirectory creates a directory on the master node to keep job
* execution results. We also register this directory for automatic cleanup on
* portal delete.
*/
static void
CopyQueryResults(List *masterCopyStmtList)
PrepareMasterJobDirectory(Job *workerJob)
{
ListCell *masterCopyStmtCell = NULL;
StringInfo jobDirectoryName = MasterJobDirectoryName(workerJob->jobId);
CreateDirectory(jobDirectoryName);
/* now copy data from all the remote nodes into temp table */
foreach(masterCopyStmtCell, masterCopyStmtList)
{
Node *masterCopyStmt = (Node *) lfirst(masterCopyStmtCell);
Assert(IsA(masterCopyStmt, CopyStmt));
ProcessUtility(masterCopyStmt,
"(copy job)",
PROCESS_UTILITY_QUERY,
NULL,
None_Receiver,
NULL);
}
/* make the copied contents visible */
CommandCounterIncrement();
ResourceOwnerEnlargeJobDirectories(CurrentResourceOwner);
ResourceOwnerRememberJobDirectory(CurrentResourceOwner, workerJob->jobId);
}
/* Execute query plan. */
void
multi_ExecutorRun(QueryDesc *queryDesc, ScanDirection direction, tuplecount_t count)
/*
* Load data collected by real-time or task-tracker executors into the tuplestore
* of CitusScanState. For that, we first create a tuple store, and then copy the
* files one-by-one into the tuple store.
*
* Note that in the long term it'd be a lot better if Multi*Execute() directly
* filled the tuplestores, but that's a fair bit of work.
*/
static void
LoadTuplesIntoTupleStore(CitusScanState *citusScanState, Job *workerJob)
{
int eflags = queryDesc->estate->es_top_eflags;
CustomScanState customScanState = citusScanState->customScanState;
List *workerTaskList = workerJob->taskList;
List *copyOptions = NIL;
EState *executorState = NULL;
MemoryContext executorTupleContext = NULL;
ExprContext *executorExpressionContext = NULL;
TupleDesc tupleDescriptor = NULL;
Relation stubRelation = NULL;
ListCell *workerTaskCell = NULL;
uint32 columnCount = 0;
Datum *columnValues = NULL;
bool *columnNulls = NULL;
bool randomAccess = true;
bool interTransactions = false;
if (eflags & EXEC_FLAG_CITUS_ROUTER_EXECUTOR)
executorState = citusScanState->customScanState.ss.ps.state;
executorTupleContext = GetPerTupleMemoryContext(executorState);
executorExpressionContext = GetPerTupleExprContext(executorState);
tupleDescriptor = customScanState.ss.ps.ps_ResultTupleSlot->tts_tupleDescriptor;
stubRelation = StubRelation(tupleDescriptor);
columnCount = tupleDescriptor->natts;
columnValues = palloc0(columnCount * sizeof(Datum));
columnNulls = palloc0(columnCount * sizeof(bool));
Assert(citusScanState->tuplestorestate == NULL);
citusScanState->tuplestorestate =
tuplestore_begin_heap(randomAccess, interTransactions, work_mem);
if (BinaryMasterCopyFormat)
{
/* drop into the router executor */
RouterExecutorRun(queryDesc, direction, count);
DefElem *copyOption = makeDefElem("format", (Node *) makeString("binary"));
copyOptions = lappend(copyOptions, copyOption);
}
else
{
/* drop into the standard executor */
standard_ExecutorRun(queryDesc, direction, count);
}
}
/* Perform actions, like e.g. firing triggers, after the query has run. */
void
multi_ExecutorFinish(QueryDesc *queryDesc)
{
int eflags = queryDesc->estate->es_top_eflags;
if (eflags & EXEC_FLAG_CITUS_ROUTER_EXECUTOR)
foreach(workerTaskCell, workerTaskList)
{
/* drop into the router executor */
RouterExecutorFinish(queryDesc);
}
else
{
/* drop into the standard executor */
standard_ExecutorFinish(queryDesc);
Task *workerTask = (Task *) lfirst(workerTaskCell);
StringInfo jobDirectoryName = NULL;
StringInfo taskFilename = NULL;
CopyState copyState = NULL;
jobDirectoryName = MasterJobDirectoryName(workerTask->jobId);
taskFilename = TaskFilename(jobDirectoryName, workerTask->taskId);
copyState = BeginCopyFrom(stubRelation, taskFilename->data, false, NULL,
copyOptions);
while (true)
{
MemoryContext oldContext = NULL;
bool nextRowFound = false;
ResetPerTupleExprContext(executorState);
oldContext = MemoryContextSwitchTo(executorTupleContext);
nextRowFound = NextCopyFrom(copyState, executorExpressionContext,
columnValues, columnNulls, NULL);
if (!nextRowFound)
{
MemoryContextSwitchTo(oldContext);
break;
}
tuplestore_putvalues(citusScanState->tuplestorestate, tupleDescriptor,
columnValues, columnNulls);
MemoryContextSwitchTo(oldContext);
}
EndCopyFrom(copyState);
}
}
/*
* multi_ExecutorEnd is a hook called to deallocate resources used during
* query execution.
*
* If the query executed was the portion of a distributed query running on the
* master, remove the resources that were needed for distributed execution.
* StubRelation creates a stub Relation from the given tuple descriptor.
* To be able to use copy.c, we need a Relation descriptor. As there is no
* relation corresponding to the data loaded from workers, we need to fake one.
* We just need the bare minimal set of fields accessed by BeginCopyFrom().
*/
static Relation
StubRelation(TupleDesc tupleDescriptor)
{
Relation stubRelation = palloc0(sizeof(RelationData));
stubRelation->rd_att = tupleDescriptor;
stubRelation->rd_rel = palloc0(sizeof(FormData_pg_class));
stubRelation->rd_rel->relkind = RELKIND_RELATION;
return stubRelation;
}
/*
* ReturnTupleFromTuplestore reads the next tuple from the tuple store of the
* given Citus scan node and returns it. It returns null if all tuples are read
* from the tuple store.
*/
TupleTableSlot *
ReturnTupleFromTuplestore(CitusScanState *scanState)
{
Tuplestorestate *tupleStore = scanState->tuplestorestate;
TupleTableSlot *resultSlot = NULL;
ScanDirection scanDirection = NoMovementScanDirection;
bool forwardScanDirection = true;
if (tupleStore == NULL)
{
return NULL;
}
scanDirection = scanState->customScanState.ss.ps.state->es_direction;
Assert(ScanDirectionIsValid(scanDirection));
if (ScanDirectionIsBackward(scanDirection))
{
forwardScanDirection = false;
}
resultSlot = scanState->customScanState.ss.ps.ps_ResultTupleSlot;
tuplestore_gettupleslot(tupleStore, forwardScanDirection, false, resultSlot);
return resultSlot;
}
/*
* TaskTrackerExecScan is a callback function which returns next tuple from a
* task-tracker execution. In the first call, it executes distributed task-tracker
* plan and loads results from temporary files into custom scan's tuple store.
* Then, it returns tuples one by one from this tuple store.
*/
TupleTableSlot *
TaskTrackerExecScan(CustomScanState *node)
{
CitusScanState *scanState = (CitusScanState *) node;
TupleTableSlot *resultSlot = NULL;
if (!scanState->finishedRemoteScan)
{
MultiPlan *multiPlan = scanState->multiPlan;
Job *workerJob = multiPlan->workerJob;
PrepareMasterJobDirectory(workerJob);
MultiTaskTrackerExecute(workerJob);
LoadTuplesIntoTupleStore(scanState, workerJob);
scanState->finishedRemoteScan = true;
}
resultSlot = ReturnTupleFromTuplestore(scanState);
return resultSlot;
}
/*
* CitusEndScan is used to clean up tuple store of the given custom scan state.
*/
void
multi_ExecutorEnd(QueryDesc *queryDesc)
CitusEndScan(CustomScanState *node)
{
int eflags = queryDesc->estate->es_top_eflags;
CitusScanState *scanState = (CitusScanState *) node;
if (eflags & EXEC_FLAG_CITUS_ROUTER_EXECUTOR)
if (scanState->tuplestorestate)
{
/* drop into the router executor */
RouterExecutorEnd(queryDesc);
}
else
{
/* drop into the standard executor */
standard_ExecutorEnd(queryDesc);
}
/*
* Final step of a distributed query is executing the master node select
* query. We clean up the temp tables after executing it, if we already created it.
*/
if (eflags & EXEC_FLAG_CITUS_MASTER_SELECT)
{
PlannedStmt *planStatement = queryDesc->plannedstmt;
int savedLogMinMessages = 0;
int savedClientMinMessages = 0;
RangeTblEntry *rangeTableEntry = linitial(planStatement->rtable);
Oid masterTableRelid = rangeTableEntry->relid;
ObjectAddress masterTableObject = { InvalidOid, InvalidOid, 0 };
masterTableObject.classId = RelationRelationId;
masterTableObject.objectId = masterTableRelid;
masterTableObject.objectSubId = 0;
/*
* Temporarily change logging level to avoid DEBUG2 logging output by
* performDeletion. This avoids breaking the regression tests which
* use DEBUG2 logging.
*/
savedLogMinMessages = log_min_messages;
savedClientMinMessages = client_min_messages;
log_min_messages = INFO;
client_min_messages = INFO;
performDeletion(&masterTableObject, DROP_RESTRICT, PERFORM_DELETION_INTERNAL);
log_min_messages = savedLogMinMessages;
client_min_messages = savedClientMinMessages;
tuplestore_end(scanState->tuplestorestate);
scanState->tuplestorestate = NULL;
}
}
/*
* CitusReScan is just a place holder for rescan callback. Currently, we don't
* support rescan given that there is not any way to reach this code path.
*/
void
CitusReScan(CustomScanState *node)
{
ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("rescan is unsupported"),
errdetail("We don't expect this code path to be executed.")));
}

442
src/backend/distributed/executor/multi_router_executor.c
View File

@ -74,83 +74,31 @@ bool EnableDeadlockPrevention = true;
/* functions needed during run phase */
static void ReacquireMetadataLocks(List *taskList);
static void ExecuteSingleModifyTask(QueryDesc *queryDesc, Task *task,
static void ExecuteSingleModifyTask(CitusScanState *scanState, Task *task,
bool expectResults);
static void ExecuteSingleSelectTask(QueryDesc *queryDesc, Task *task);
static List * GetModifyConnections(List *taskPlacementList,
bool markCritical,
static void ExecuteSingleSelectTask(CitusScanState *scanState, Task *task);
static List * GetModifyConnections(List *taskPlacementList, bool markCritical,
bool startedInTransaction);
static void ExecuteMultipleTasks(QueryDesc *queryDesc, List *taskList,
static void ExecuteMultipleTasks(CitusScanState *scanState, List *taskList,
bool isModificationQuery, bool expectResults);
static int64 ExecuteModifyTasks(List *taskList, bool expectResults,
ParamListInfo paramListInfo,
MaterialState *routerState,
TupleDesc tupleDescriptor);
ParamListInfo paramListInfo, CitusScanState *scanState);
static List * TaskShardIntervalList(List *taskList);
static void AcquireExecutorShardLock(Task *task, CmdType commandType);
static void AcquireExecutorMultiShardLocks(List *taskList);
static bool RequiresConsistentSnapshot(Task *task);
static uint64 ReturnRowsFromTuplestore(uint64 tupleCount, TupleDesc tupleDescriptor,
DestReceiver *destination,
Tuplestorestate *tupleStore);
static void ProcessMasterEvaluableFunctions(Job *workerJob);
static void ExtractParametersFromParamListInfo(ParamListInfo paramListInfo,
Oid **parameterTypes,
const char ***parameterValues);
static bool SendQueryInSingleRowMode(MultiConnection *connection, char *query,
ParamListInfo paramListInfo);
static bool StoreQueryResult(MaterialState *routerState, MultiConnection *connection,
TupleDesc tupleDescriptor, bool failOnError, int64 *rows);
static bool StoreQueryResult(CitusScanState *scanState, MultiConnection *connection,
bool failOnError, int64 *rows);
static bool ConsumeQueryResult(MultiConnection *connection, bool failOnError,
int64 *rows);
/*
* RouterExecutorStart sets up the executor state and queryDesc for router
* execution.
*/
void
RouterExecutorStart(QueryDesc *queryDesc, int eflags, List *taskList)
{
EState *executorState = NULL;
CmdType commandType = queryDesc->operation;
/*
* If we are executing a prepared statement, then we may not yet have obtained
* the metadata locks in this transaction. To prevent a concurrent shard copy,
* we re-obtain them here or error out if a shard copy has already started.
*
* If a shard copy finishes in between fetching a plan from cache and
* re-acquiring the locks, then we might still run a stale plan, which could
* cause shard placements to diverge. To minimize this window, we take the
* locks as early as possible.
*/
ReacquireMetadataLocks(taskList);
/* disallow triggers during distributed modify commands */
if (commandType != CMD_SELECT)
{
eflags |= EXEC_FLAG_SKIP_TRIGGERS;
}
/* signal that it is a router execution */
eflags |= EXEC_FLAG_CITUS_ROUTER_EXECUTOR;
/* build empty executor state to obtain per-query memory context */
executorState = CreateExecutorState();
executorState->es_top_eflags = eflags;
executorState->es_instrument = queryDesc->instrument_options;
queryDesc->estate = executorState;
/*
* As it's similar to what we're doing, use a MaterialState node to store
* our state. This is used to store our tuplestore, so cursors etc. can
* work.
*/
queryDesc->planstate = (PlanState *) makeNode(MaterialState);
}
/*
* ReacquireMetadataLocks re-acquires the metadata locks that are normally
* acquired during planning.
@ -458,140 +406,140 @@ RequiresConsistentSnapshot(Task *task)
/*
* RouterExecutorRun actually executes a single task on a worker.
* CitusModifyBeginScan checks the validity of the given custom scan node and
* gets locks on the shards involved in the task list of the distributed plan.
*/
void
RouterExecutorRun(QueryDesc *queryDesc, ScanDirection direction, long count)
CitusModifyBeginScan(CustomScanState *node, EState *estate, int eflags)
{
PlannedStmt *planStatement = queryDesc->plannedstmt;
MultiPlan *multiPlan = GetMultiPlan(planStatement);
CitusScanState *scanState = (CitusScanState *) node;
MultiPlan *multiPlan = scanState->multiPlan;
Job *workerJob = multiPlan->workerJob;
List *taskList = workerJob->taskList;
EState *estate = queryDesc->estate;
CmdType operation = queryDesc->operation;
MemoryContext oldcontext = NULL;
DestReceiver *destination = queryDesc->dest;
MaterialState *routerState = (MaterialState *) queryDesc->planstate;
bool sendTuples = operation == CMD_SELECT || queryDesc->plannedstmt->hasReturning;
Assert(estate != NULL);
Assert(!(estate->es_top_eflags & EXEC_FLAG_EXPLAIN_ONLY));
oldcontext = MemoryContextSwitchTo(estate->es_query_cxt);
if (queryDesc->totaltime != NULL)
{
InstrStartNode(queryDesc->totaltime);
}
estate->es_processed = 0;
/* startup the tuple receiver */
if (sendTuples)
{
(*destination->rStartup)(destination, operation, queryDesc->tupDesc);
}
/* we only support returning nothing or scanning forward */
if (ScanDirectionIsNoMovement(direction))
{
/* comments in PortalRunSelect() explain the reason for this case */
goto out;
}
else if (!ScanDirectionIsForward(direction))
{
ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("scan directions other than forward scans "
"are unsupported")));
}
/*
* If query has not yet been executed, do so now. The main reason why the
* query might already have been executed is cursors.
* If we are executing a prepared statement, then we may not yet have obtained
* the metadata locks in this transaction. To prevent a concurrent shard copy,
* we re-obtain them here or error out if a shard copy has already started.
*
* If a shard copy finishes in between fetching a plan from cache and
* re-acquiring the locks, then we might still run a stale plan, which could
* cause shard placements to diverge. To minimize this window, we take the
* locks as early as possible.
*/
if (!routerState->eof_underlying)
ReacquireMetadataLocks(taskList);
}
/*
* RouterSingleModifyExecScan executes a single modification query on a
* distributed plan and returns results if there is any.
*/
TupleTableSlot *
RouterSingleModifyExecScan(CustomScanState *node)
{
CitusScanState *scanState = (CitusScanState *) node;
TupleTableSlot *resultSlot = NULL;
if (!scanState->finishedRemoteScan)
{
bool isModificationQuery = false;
bool requiresMasterEvaluation = workerJob->requiresMasterEvaluation;
MultiPlan *multiPlan = scanState->multiPlan;
bool hasReturning = multiPlan->hasReturning;
Job *workerJob = multiPlan->workerJob;
List *taskList = workerJob->taskList;
Task *task = (Task *) linitial(taskList);
if (operation == CMD_INSERT || operation == CMD_UPDATE ||
operation == CMD_DELETE)
{
isModificationQuery = true;
}
else if (operation != CMD_SELECT)
{
ereport(ERROR, (errmsg("unrecognized operation code: %d",
(int) operation)));
}
ProcessMasterEvaluableFunctions(workerJob);
if (requiresMasterEvaluation)
{
Query *jobQuery = workerJob->jobQuery;
ExecuteSingleModifyTask(scanState, task, hasReturning);
ExecuteMasterEvaluableFunctions(jobQuery);
RebuildQueryStrings(jobQuery, taskList);
}
if (list_length(taskList) == 1)
{
Task *task = (Task *) linitial(taskList);
if (isModificationQuery)
{
ExecuteSingleModifyTask(queryDesc, task, sendTuples);
}
else
{
ExecuteSingleSelectTask(queryDesc, task);
}
}
else
{
ExecuteMultipleTasks(queryDesc, taskList, isModificationQuery,
sendTuples);
}
/* mark underlying query as having executed */
routerState->eof_underlying = true;
scanState->finishedRemoteScan = true;
}
/* if the underlying query produced output, return it */
if (routerState->tuplestorestate != NULL)
resultSlot = ReturnTupleFromTuplestore(scanState);
return resultSlot;
}
/*
* ProcessMasterEvaluableFunctions executes evaluable functions and rebuilds
* the query strings in task lists.
*/
static void
ProcessMasterEvaluableFunctions(Job *workerJob)
{
if (workerJob->requiresMasterEvaluation)
{
TupleDesc resultTupleDescriptor = queryDesc->tupDesc;
int64 returnedRows = 0;
Query *jobQuery = workerJob->jobQuery;
List *taskList = workerJob->taskList;
/* return rows from the tuplestore */
returnedRows = ReturnRowsFromTuplestore(count, resultTupleDescriptor,
destination,
routerState->tuplestorestate);
ExecuteMasterEvaluableFunctions(jobQuery);
RebuildQueryStrings(jobQuery, taskList);
}
}
/*
* Count tuples processed, if this is a SELECT. (For modifications
* it'll already have been increased, as we want the number of
* modified tuples, not the number of RETURNed tuples.)
*/
if (operation == CMD_SELECT)
{
estate->es_processed += returnedRows;
}
/*
* RouterMultiModifyExecScan executes a list of tasks on remote nodes, retrieves
* the results and, if RETURNING is used, stores them in custom scan's tuple store.
* Then, it returns tuples one by one from this tuple store.
*/
TupleTableSlot *
RouterMultiModifyExecScan(CustomScanState *node)
{
CitusScanState *scanState = (CitusScanState *) node;
TupleTableSlot *resultSlot = NULL;
if (!scanState->finishedRemoteScan)
{
MultiPlan *multiPlan = scanState->multiPlan;
Job *workerJob = multiPlan->workerJob;
List *taskList = workerJob->taskList;
bool hasReturning = multiPlan->hasReturning;
bool isModificationQuery = true;
ProcessMasterEvaluableFunctions(workerJob);
ExecuteMultipleTasks(scanState, taskList, isModificationQuery, hasReturning);
scanState->finishedRemoteScan = true;
}
out:
resultSlot = ReturnTupleFromTuplestore(scanState);
/* shutdown tuple receiver, if we started it */
if (sendTuples)
return resultSlot;
}
/*
* RouterSelectExecScan executes a single select task on the remote node,
* retrieves the results and stores them in custom scan's tuple store. Then, it
* returns tuples one by one from this tuple store.
*/
TupleTableSlot *
RouterSelectExecScan(CustomScanState *node)
{
CitusScanState *scanState = (CitusScanState *) node;
TupleTableSlot *resultSlot = NULL;
if (!scanState->finishedRemoteScan)
{
(*destination->rShutdown)(destination);
MultiPlan *multiPlan = scanState->multiPlan;
Job *workerJob = multiPlan->workerJob;
List *taskList = workerJob->taskList;
Task *task = (Task *) linitial(taskList);
ProcessMasterEvaluableFunctions(workerJob);
ExecuteSingleSelectTask(scanState, task);
scanState->finishedRemoteScan = true;
}
if (queryDesc->totaltime != NULL)
{
InstrStopNode(queryDesc->totaltime, estate->es_processed);
}
resultSlot = ReturnTupleFromTuplestore(scanState);
MemoryContextSwitchTo(oldcontext);
return resultSlot;
}
@ -603,11 +551,10 @@ out:
* other placements or errors out if the query fails on all placements.
*/
static void
ExecuteSingleSelectTask(QueryDesc *queryDesc, Task *task)
ExecuteSingleSelectTask(CitusScanState *scanState, Task *task)
{
TupleDesc tupleDescriptor = queryDesc->tupDesc;
MaterialState *routerState = (MaterialState *) queryDesc->planstate;
ParamListInfo paramListInfo = queryDesc->params;
ParamListInfo paramListInfo =
scanState->customScanState.ss.ps.state->es_param_list_info;
List *taskPlacementList = task->taskPlacementList;
ListCell *taskPlacementCell = NULL;
char *queryString = task->queryString;
@ -639,8 +586,8 @@ ExecuteSingleSelectTask(QueryDesc *queryDesc, Task *task)
continue;
}
queryOK = StoreQueryResult(routerState, connection, tupleDescriptor,
dontFailOnError, &currentAffectedTupleCount);
queryOK = StoreQueryResult(scanState, connection, dontFailOnError,
&currentAffectedTupleCount);
if (queryOK)
{
return;
@ -661,21 +608,19 @@ ExecuteSingleSelectTask(QueryDesc *queryDesc, Task *task)
* framework), or errors out (failed on all placements).
*/
static void
ExecuteSingleModifyTask(QueryDesc *queryDesc, Task *task,
bool expectResults)
ExecuteSingleModifyTask(CitusScanState *scanState, Task *task, bool expectResults)
{
CmdType operation = queryDesc->operation;
TupleDesc tupleDescriptor = queryDesc->tupDesc;
EState *executorState = queryDesc->estate;
MaterialState *routerState = (MaterialState *) queryDesc->planstate;
ParamListInfo paramListInfo = queryDesc->params;
bool resultsOK = false;
CmdType operation = scanState->multiPlan->operation;
EState *executorState = scanState->customScanState.ss.ps.state;
ParamListInfo paramListInfo = executorState->es_param_list_info;
List *taskPlacementList = task->taskPlacementList;
List *connectionList = NIL;
ListCell *taskPlacementCell = NULL;
ListCell *connectionCell = NULL;
int64 affectedTupleCount = -1;
bool resultsOK = false;
bool gotResults = false;
char *queryString = task->queryString;
bool taskRequiresTwoPhaseCommit = (task->replicationModel == REPLICATION_MODEL_2PC);
bool startedInTransaction =
@ -761,8 +706,8 @@ ExecuteSingleModifyTask(QueryDesc *queryDesc, Task *task,
*/
if (!gotResults && expectResults)
{
queryOK = StoreQueryResult(routerState, connection, tupleDescriptor,
failOnError, &currentAffectedTupleCount);
queryOK = StoreQueryResult(scanState, connection, failOnError,
&currentAffectedTupleCount);
}
else
{
@ -893,20 +838,18 @@ GetModifyConnections(List *taskPlacementList, bool markCritical, bool noNewTrans
* commits.
*/
static void
ExecuteMultipleTasks(QueryDesc *queryDesc, List *taskList,
ExecuteMultipleTasks(CitusScanState *scanState, List *taskList,
bool isModificationQuery, bool expectResults)
{
TupleDesc tupleDescriptor = queryDesc->tupDesc;
EState *executorState = queryDesc->estate;
MaterialState *routerState = (MaterialState *) queryDesc->planstate;
ParamListInfo paramListInfo = queryDesc->params;
EState *executorState = scanState->customScanState.ss.ps.state;
ParamListInfo paramListInfo = executorState->es_param_list_info;
int64 affectedTupleCount = -1;
/* can only support modifications right now */
Assert(isModificationQuery);
affectedTupleCount = ExecuteModifyTasks(taskList, expectResults, paramListInfo,
routerState, tupleDescriptor);
scanState);
executorState->es_processed = affectedTupleCount;
}
@ -922,7 +865,7 @@ ExecuteMultipleTasks(QueryDesc *queryDesc, List *taskList,
int64
ExecuteModifyTasksWithoutResults(List *taskList)
{
return ExecuteModifyTasks(taskList, false, NULL, NULL, NULL);
return ExecuteModifyTasks(taskList, false, NULL, NULL);
}
@ -936,7 +879,7 @@ ExecuteModifyTasksWithoutResults(List *taskList)
*/
static int64
ExecuteModifyTasks(List *taskList, bool expectResults, ParamListInfo paramListInfo,
MaterialState *routerState, TupleDesc tupleDescriptor)
CitusScanState *scanState)
{
int64 totalAffectedTupleCount = 0;
ListCell *taskCell = NULL;
@ -1020,8 +963,7 @@ ExecuteModifyTasks(List *taskList, bool expectResults, ParamListInfo paramListIn
continue;
}
connection =
(MultiConnection *) list_nth(connectionList, placementIndex);
connection = (MultiConnection *) list_nth(connectionList, placementIndex);
queryOK = SendQueryInSingleRowMode(connection, queryString, paramListInfo);
if (!queryOK)
@ -1066,10 +1008,10 @@ ExecuteModifyTasks(List *taskList, bool expectResults, ParamListInfo paramListIn
*/
if (placementIndex == 0 && expectResults)
{
Assert(routerState != NULL && tupleDescriptor != NULL);
Assert(scanState != NULL);
queryOK = StoreQueryResult(routerState, connection, tupleDescriptor,
failOnError, &currentAffectedTupleCount);
queryOK = StoreQueryResult(scanState, connection, failOnError,
&currentAffectedTupleCount);
}
else
{
@ -1149,50 +1091,6 @@ TaskShardIntervalList(List *taskList)
}
/*
* ReturnRowsFromTuplestore moves rows from a given tuplestore into a
* receiver. It performs the necessary limiting to support cursors.
*/
static uint64
ReturnRowsFromTuplestore(uint64 tupleCount, TupleDesc tupleDescriptor,
DestReceiver *destination, Tuplestorestate *tupleStore)
{
TupleTableSlot *tupleTableSlot = NULL;
uint64 currentTupleCount = 0;
tupleTableSlot = MakeSingleTupleTableSlot(tupleDescriptor);
/* iterate over tuples in tuple store, and send them to destination */
for (;;)
{
bool nextTuple = tuplestore_gettupleslot(tupleStore, true, false, tupleTableSlot);
if (!nextTuple)
{
break;
}
(*destination->receiveSlot)(tupleTableSlot, destination);
ExecClearTuple(tupleTableSlot);
currentTupleCount++;
/*
* If numberTuples is zero fetch all tuples, otherwise stop after
* count tuples.
*/
if (tupleCount > 0 && tupleCount == currentTupleCount)
{
break;
}
}
ExecDropSingleTupleTableSlot(tupleTableSlot);
return currentTupleCount;
}
/*
* SendQueryInSingleRowMode sends the given query on the connection in an
* asynchronous way. The function also sets the single-row mode on the
@ -1318,13 +1216,18 @@ ExtractParametersFromParamListInfo(ParamListInfo paramListInfo, Oid **parameterT
* the connection.
*/
static bool
StoreQueryResult(MaterialState *routerState, MultiConnection *connection,
TupleDesc tupleDescriptor, bool failOnError, int64 *rows)
StoreQueryResult(CitusScanState *scanState, MultiConnection *connection,
bool failOnError, int64 *rows)
{
TupleDesc tupleDescriptor =
scanState->customScanState.ss.ps.ps_ResultTupleSlot->tts_tupleDescriptor;
AttInMetadata *attributeInputMetadata = TupleDescGetAttInMetadata(tupleDescriptor);
Tuplestorestate *tupleStore = NULL;
uint32 expectedColumnCount = tupleDescriptor->natts;
List *targetList = scanState->customScanState.ss.ps.plan->targetlist;
uint32 expectedColumnCount = ExecCleanTargetListLength(targetList);
char **columnArray = (char **) palloc0(expectedColumnCount * sizeof(char *));
Tuplestorestate *tupleStore = NULL;
bool randomAccess = true;
bool interTransactions = false;
bool commandFailed = false;
MemoryContext ioContext = AllocSetContextCreate(CurrentMemoryContext,
"StoreQueryResult",
@ -1333,17 +1236,18 @@ StoreQueryResult(MaterialState *routerState, MultiConnection *connection,
ALLOCSET_DEFAULT_MAXSIZE);
*rows = 0;
if (routerState->tuplestorestate == NULL)
if (scanState->tuplestorestate == NULL)
{
routerState->tuplestorestate = tuplestore_begin_heap(false, false, work_mem);
scanState->tuplestorestate =
tuplestore_begin_heap(randomAccess, interTransactions, work_mem);
}
else if (!failOnError)
{
/* might have failed query execution on another placement before */
tuplestore_clear(routerState->tuplestorestate);
tuplestore_clear(scanState->tuplestorestate);
}
tupleStore = routerState->tuplestorestate;
tupleStore = scanState->tuplestorestate;
for (;;)
{
@ -1537,39 +1441,3 @@ ConsumeQueryResult(MultiConnection *connection, bool failOnError, int64 *rows)
return gotResponse && !commandFailed;
}
/*
* RouterExecutorFinish cleans up after a distributed execution.
*/
void
RouterExecutorFinish(QueryDesc *queryDesc)
{
EState *estate = queryDesc->estate;
Assert(estate != NULL);
estate->es_finished = true;
}
/*
* RouterExecutorEnd cleans up the executor state after a distributed
* execution.
*/
void
RouterExecutorEnd(QueryDesc *queryDesc)
{
EState *estate = queryDesc->estate;
MaterialState *routerState = (MaterialState *) queryDesc->planstate;
if (routerState->tuplestorestate)
{
tuplestore_end(routerState->tuplestorestate);
}
Assert(estate != NULL);
FreeExecutorState(estate);
queryDesc->estate = NULL;
queryDesc->totaltime = NULL;
}

45
src/backend/distributed/executor/multi_utility.c
View File

@ -369,51 +369,6 @@ multi_ProcessUtility(Node *parsetree,
" necessary users and roles.")));
}
/* due to an explain-hook limitation we have to special-case EXPLAIN EXECUTE */
if (IsA(parsetree, ExplainStmt) && IsA(((ExplainStmt *) parsetree)->query, Query))
{
ExplainStmt *explainStmt = (ExplainStmt *) parsetree;
Query *query = (Query *) explainStmt->query;
if (query->commandType == CMD_UTILITY &&
IsA(query->utilityStmt, ExecuteStmt))
{
ExecuteStmt *execstmt = (ExecuteStmt *) query->utilityStmt;
PreparedStatement *entry = FetchPreparedStatement(execstmt->name, true);
CachedPlanSource *plansource = entry->plansource;
Node *parseTreeCopy;
Query *originalQuery;
/* copied from ExplainExecuteQuery, will never trigger if you used PREPARE */
if (!plansource->fixed_result)
{
ereport(ERROR, (errmsg("EXPLAIN EXECUTE does not support variable-result"
" cached plans")));
}
parseTreeCopy = copyObject(plansource->raw_parse_tree);
originalQuery = parse_analyze(parseTreeCopy,
plansource->query_string,
plansource->param_types,
plansource->num_params);
if (ExtractFirstDistributedTableId(originalQuery) != InvalidOid)
{
/*
* since pg no longer sees EXECUTE it will use the explain hook we've
* installed
*/
explainStmt->query = (Node *) originalQuery;
standard_ProcessUtility(parsetree, plansource->query_string, context,
params, dest, completionTag);
return;
}
/* if this is a normal query fall through to the usual executor */
}
}
if (commandMustRunAsOwner)
{
GetUserIdAndSecContext(&savedUserId, &savedSecurityContext);

285
src/backend/distributed/planner/multi_explain.c
View File

@ -65,9 +65,6 @@ typedef struct RemoteExplainPlan
/* Explain functions for distributed queries */
static void ExplainMasterPlan(PlannedStmt *masterPlan, IntoClause *into,
ExplainState *es, const char *queryString,
ParamListInfo params, const instr_time *planDuration);
static void ExplainJob(Job *job, ExplainState *es);
static void ExplainMapMergeJob(MapMergeJob *mapMergeJob, ExplainState *es);
static void ExplainTaskList(List *taskList, ExplainState *es);
@ -77,9 +74,6 @@ static void ExplainTask(Task *task, int placementIndex, List *explainOutputList,
static void ExplainTaskPlacement(ShardPlacement *taskPlacement, List *explainOutputList,
ExplainState *es);
static StringInfo BuildRemoteExplainQuery(char *queryString, ExplainState *es);
static void MultiExplainOnePlan(PlannedStmt *plan, IntoClause *into,
ExplainState *es, const char *queryString,
ParamListInfo params, const instr_time *planDuration);
/* Static Explain functions copied from explain.c */
static void ExplainOpenGroup(const char *objtype, const char *labelname,
@ -92,288 +86,29 @@ static void ExplainYAMLLineStarting(ExplainState *es);
/*
* MultiExplainOneQuery takes the given query, and checks if the query is local
* or distributed. If the query is local, the function runs the standard explain
* logic. If the query is distributed, the function looks up configuration and
* prints out the distributed logical and physical plans as appropriate.
* CitusExplainScan is a custom scan explain callback function which is used to
* print explain information of a Citus plan which includes both master and
* distributed plan.
*/
void
MultiExplainOneQuery(Query *query, IntoClause *into, ExplainState *es,
const char *queryString, ParamListInfo params)
CitusExplainScan(CustomScanState *node, List *ancestors, struct ExplainState *es)
{
instr_time planStart;
instr_time planDuration;
int cursorOptions = 0;
PlannedStmt *plan = NULL;
#if PG_VERSION_NUM >= 90600
/*
* Allow parallel plans in 9.6+ unless selecting into a table.
* Without this, we're breaking explain for non-Citus plans.
*/
if (!into)
{
cursorOptions |= CURSOR_OPT_PARALLEL_OK;
}
#endif
/* plan query, just like ExplainOneQuery does */
INSTR_TIME_SET_CURRENT(planStart);
/* plan the query */
plan = pg_plan_query(query, cursorOptions, params);
INSTR_TIME_SET_CURRENT(planDuration);
INSTR_TIME_SUBTRACT(planDuration, planStart);
/* if not a distributed query, use plain explain infrastructure */
if (!HasCitusToplevelNode(plan))
{
/* run it (if needed) and produce output */
ExplainOnePlan(plan, into, es, queryString, params, &planDuration);
}
else
{
MultiExplainOnePlan(plan, into, es, queryString, params, &planDuration);
}
}
/*
* MultiExplainOnePlan explains the plan for an individual distributed query.
*/
static void
MultiExplainOnePlan(PlannedStmt *plan, IntoClause *into,
ExplainState *es, const char *queryString,
ParamListInfo params, const instr_time *planDuration)
{
MultiPlan *multiPlan = NULL;
CmdType commandType = CMD_UNKNOWN;
Job *workerJob = NULL;
bool routerExecutablePlan = false;
commandType = plan->commandType;
if (commandType == CMD_INSERT || commandType == CMD_UPDATE ||
commandType == CMD_DELETE)
{
if (es->analyze)
{
ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("Using ANALYZE for INSERT/UPDATE/DELETE on "
"distributed tables is not supported.")));
}
}
multiPlan = GetMultiPlan(plan);
/* ensure plan is executable */
VerifyMultiPlanValidity(multiPlan);
CitusScanState *scanState = (CitusScanState *) node;
MultiPlan *multiPlan = scanState->multiPlan;
if (!ExplainDistributedQueries)
{
appendStringInfoSpaces(es->str, es->indent * 2);
appendStringInfo(es->str, "explain statements for distributed queries ");
appendStringInfo(es->str, "are not enabled\n");
return;
}
ExplainOpenGroup("Distributed Query", NULL, true, es);
ExplainOpenGroup("Distributed Query", "Distributed Query", true, es);
if (es->format == EXPLAIN_FORMAT_TEXT)
{
appendStringInfoSpaces(es->str, es->indent * 2);
appendStringInfo(es->str, "Distributed Query");
ExplainJob(multiPlan->workerJob, es);
if (multiPlan->masterTableName != NULL)
{
appendStringInfo(es->str, " into %s", multiPlan->masterTableName);
}
appendStringInfo(es->str, "\n");
es->indent += 1;
}
routerExecutablePlan = multiPlan->routerExecutable;
if (routerExecutablePlan)
{
ExplainPropertyText("Executor", "Router", es);
}
else
{
switch (TaskExecutorType)
{
case MULTI_EXECUTOR_REAL_TIME:
{
ExplainPropertyText("Executor", "Real-Time", es);
}
break;
case MULTI_EXECUTOR_TASK_TRACKER:
{
ExplainPropertyText("Executor", "Task-Tracker", es);
}
break;
default:
{
ExplainPropertyText("Executor", "Other", es);
}
break;
}
}
workerJob = multiPlan->workerJob;
ExplainJob(workerJob, es);
if (es->format == EXPLAIN_FORMAT_TEXT)
{
es->indent -= 1;
}
if (!routerExecutablePlan)
{
if (es->format == EXPLAIN_FORMAT_TEXT)
{
appendStringInfoSpaces(es->str, es->indent * 2);
appendStringInfo(es->str, "Master Query\n");
es->indent += 1;
}
ExplainOpenGroup("Master Query", "Master Query", false, es);
ExplainMasterPlan(plan, into, es, queryString, params, planDuration);
ExplainCloseGroup("Master Query", "Master Query", false, es);
if (es->format == EXPLAIN_FORMAT_TEXT)
{
es->indent -= 1;
}
}
ExplainCloseGroup("Distributed Query", NULL, true, es);
}
/*
* ExplainMasterPlan generates EXPLAIN output for the master query that merges results.
* When using EXPLAIN ANALYZE, this function shows the execution time of the master query
* in isolation. Calling ExplainOnePlan directly would show the overall execution time of
* the distributed query, which makes it hard to determine how much time the master query
* took.
*
* Parts of this function are copied directly from ExplainOnePlan.
*/
static void
ExplainMasterPlan(PlannedStmt *masterPlan, IntoClause *into,
ExplainState *es, const char *queryString,
ParamListInfo params, const instr_time *planDuration)
{
DestReceiver *dest = NULL;
int eflags = 0;
QueryDesc *queryDesc = NULL;
int instrument_option = 0;
if (es->analyze && es->timing)
{
instrument_option |= INSTRUMENT_TIMER;
}
else if (es->analyze)
{
instrument_option |= INSTRUMENT_ROWS;
}
if (es->buffers)
{
instrument_option |= INSTRUMENT_BUFFERS;
}
/*
* Use a snapshot with an updated command ID to ensure this query sees
* results of any previously executed queries.
*/
PushCopiedSnapshot(GetActiveSnapshot());
UpdateActiveSnapshotCommandId();
/*
* Normally we discard the query's output, but if explaining CREATE TABLE
* AS, we'd better use the appropriate tuple receiver.
*/
if (into)
{
dest = CreateIntoRelDestReceiver(into);
}
else
{
dest = None_Receiver;
}
/* Create a QueryDesc for the query */
queryDesc = CreateQueryDesc(masterPlan, queryString,
GetActiveSnapshot(), InvalidSnapshot,
dest, params, instrument_option);
/* Select execution options */
if (es->analyze)
{
eflags = 0; /* default run-to-completion flags */
}
else
{
eflags = EXEC_FLAG_EXPLAIN_ONLY;
}
if (into)
{
eflags |= GetIntoRelEFlags(into);
}
/*
* ExecutorStart creates the merge table. If using ANALYZE, it also executes the
* worker job and populates the merge table.
*/
ExecutorStart(queryDesc, eflags);
if (es->analyze)
{
ScanDirection dir;
/* if using analyze, then finish query execution */
/* EXPLAIN ANALYZE CREATE TABLE AS WITH NO DATA is weird */
if (into && into->skipData)
{
dir = NoMovementScanDirection;
}
else
{
dir = ForwardScanDirection;
}
/* run the plan */
ExecutorRun(queryDesc, dir, 0L);
/* run cleanup too */
ExecutorFinish(queryDesc);
}
/*
* ExplainOnePlan executes the master query again, which ensures that the execution
* time only shows the execution time of the master query itself, instead of the
* overall execution time.
*/
ExplainOnePlan(queryDesc->plannedstmt, into, es, queryString, params, planDuration);
/*
* ExecutorEnd for the distributed query is deferred until after the master query
* is executed again, otherwise the merge table would be dropped.
*/
ExecutorEnd(queryDesc);
FreeQueryDesc(queryDesc);
PopActiveSnapshot();
ExplainCloseGroup("Distributed Query", "Distributed Query", true, es);
}

203
src/backend/distributed/planner/multi_master_planner.c
View File

@ -15,6 +15,7 @@
#include "distributed/multi_master_planner.h"
#include "distributed/multi_physical_planner.h"
#include "distributed/multi_planner.h"
#include "distributed/multi_server_executor.h"
#include "distributed/worker_protocol.h"
#include "nodes/makefuncs.h"
@ -67,49 +68,6 @@ MasterTargetList(List *workerTargetList)
}
/*
* BuildCreateStatement builds the executable create statement for creating a
* temporary table on the master; and then returns this create statement. This
* function obtains the needed column type information from the target list.
*/
static CreateStmt *
BuildCreateStatement(char *masterTableName, List *masterTargetList,
List *masterColumnNameList)
{
CreateStmt *createStatement = NULL;
RangeVar *relation = NULL;
char *relationName = NULL;
List *columnTypeList = NIL;
List *columnDefinitionList = NIL;
ListCell *masterTargetCell = NULL;
/* build rangevar object for temporary table */
relationName = masterTableName;
relation = makeRangeVar(NULL, relationName, -1);
relation->relpersistence = RELPERSISTENCE_TEMP;
/* build the list of column types as cstrings */
foreach(masterTargetCell, masterTargetList)
{
TargetEntry *targetEntry = (TargetEntry *) lfirst(masterTargetCell);
Var *column = (Var *) targetEntry->expr;
Oid columnTypeId = exprType((Node *) column);
int32 columnTypeMod = exprTypmod((Node *) column);
char *columnTypeName = format_type_with_typemod(columnTypeId, columnTypeMod);
columnTypeList = lappend(columnTypeList, columnTypeName);
}
/* build the column definition list */
columnDefinitionList = ColumnDefinitionList(masterColumnNameList, columnTypeList);
/* build the create statement */
createStatement = CreateStatement(relation, columnDefinitionList);
return createStatement;
}
/*
* BuildAggregatePlan creates and returns an aggregate plan. This aggregate plan
* builds aggreation and grouping operators (if any) that are to be executed on
@ -207,61 +165,57 @@ BuildAggregatePlan(Query *masterQuery, Plan *subPlan)
/*
* BuildSelectStatement builds the final select statement to run on the master
* node, before returning results to the user. The function first builds a scan
* statement for all results fetched to the master, and layers aggregation, sort
* node, before returning results to the user. The function first gets the custom
* scan node for all results fetched to the master, and layers aggregation, sort
* and limit plans on top of the scan statement if necessary.
*/
static PlannedStmt *
BuildSelectStatement(Query *masterQuery, char *masterTableName,
List *masterTargetList)
BuildSelectStatement(Query *masterQuery, List *masterTargetList, CustomScan *remoteScan)
{
PlannedStmt *selectStatement = NULL;
RangeTblEntry *rangeTableEntry = NULL;
RangeTblEntry *queryRangeTableEntry = NULL;
SeqScan *sequentialScan = NULL;
RangeTblEntry *customScanRangeTableEntry = NULL;
Agg *aggregationPlan = NULL;
Plan *topLevelPlan = NULL;
ListCell *targetEntryCell = NULL;
List *columnNameList = NULL;
/* (1) make PlannedStmt and set basic information */
selectStatement = makeNode(PlannedStmt);
selectStatement->canSetTag = true;
selectStatement->relationOids = NIL; /* to be filled in exec_Start */
selectStatement->relationOids = NIL;
selectStatement->commandType = CMD_SELECT;
/* prepare the range table entry for our temporary table */
/* top level select query should have only one range table entry */
Assert(list_length(masterQuery->rtable) == 1);
queryRangeTableEntry = (RangeTblEntry *) linitial(masterQuery->rtable);
rangeTableEntry = copyObject(queryRangeTableEntry);
rangeTableEntry->rtekind = RTE_RELATION;
rangeTableEntry->eref = makeAlias(masterTableName, NIL);
rangeTableEntry->relid = 0; /* to be filled in exec_Start */
rangeTableEntry->inh = false;
rangeTableEntry->inFromCl = true;
/* compute column names for the custom range table entry */
foreach(targetEntryCell, masterTargetList)
{
TargetEntry *targetEntry = lfirst(targetEntryCell);
columnNameList = lappend(columnNameList, makeString(targetEntry->resname));
}
customScanRangeTableEntry = RemoteScanRangeTableEntry(columnNameList);
/* set the single element range table list */
selectStatement->rtable = list_make1(rangeTableEntry);
selectStatement->rtable = list_make1(customScanRangeTableEntry);
/* (2) build and initialize sequential scan node */
sequentialScan = makeNode(SeqScan);
sequentialScan->scanrelid = 1; /* always one */
/* (3) add an aggregation plan if needed */
/* (2) add an aggregation plan if needed */
if (masterQuery->hasAggs || masterQuery->groupClause)
{
sequentialScan->plan.targetlist = masterTargetList;
remoteScan->scan.plan.targetlist = masterTargetList;
aggregationPlan = BuildAggregatePlan(masterQuery, (Plan *) sequentialScan);
aggregationPlan = BuildAggregatePlan(masterQuery, &remoteScan->scan.plan);
topLevelPlan = (Plan *) aggregationPlan;
}
else
{
/* otherwise set the final projections on the scan plan directly */
sequentialScan->plan.targetlist = masterQuery->targetList;
topLevelPlan = (Plan *) sequentialScan;
remoteScan->scan.plan.targetlist = masterQuery->targetList;
topLevelPlan = &remoteScan->scan.plan;
}
/* (4) add a sorting plan if needed */
/* (3) add a sorting plan if needed */
if (masterQuery->sortClause)
{
List *sortClauseList = masterQuery->sortClause;
@ -279,7 +233,7 @@ BuildSelectStatement(Query *masterQuery, char *masterTableName,
topLevelPlan = (Plan *) sortPlan;
}
/* (5) add a limit plan if needed */
/* (4) add a limit plan if needed */
if (masterQuery->limitCount || masterQuery->limitOffset)
{
Node *limitCount = masterQuery->limitCount;
@ -296,7 +250,7 @@ BuildSelectStatement(Query *masterQuery, char *masterTableName,
topLevelPlan = (Plan *) limitPlan;
}
/* (6) finally set our top level plan in the plan tree */
/* (5) finally set our top level plan in the plan tree */
selectStatement->planTree = topLevelPlan;
return selectStatement;
@ -304,113 +258,24 @@ BuildSelectStatement(Query *masterQuery, char *masterTableName,
/*
* ValueToStringList walks over the given list of string value types, converts
* value types to cstrings, and adds these cstrings into a new list.
*/
static List *
ValueToStringList(List *valueList)
{
List *stringList = NIL;
ListCell *valueCell = NULL;
foreach(valueCell, valueList)
{
Value *value = (Value *) lfirst(valueCell);
char *stringValue = strVal(value);
stringList = lappend(stringList, stringValue);
}
return stringList;
}
/*
* MasterNodeCreateStatement takes in a multi plan, and constructs a statement
* to create a temporary table on the master node for final result
* aggregation.
*/
CreateStmt *
MasterNodeCreateStatement(MultiPlan *multiPlan)
{
Query *masterQuery = multiPlan->masterQuery;
Job *workerJob = multiPlan->workerJob;
List *workerTargetList = workerJob->jobQuery->targetList;
List *rangeTableList = masterQuery->rtable;
char *tableName = multiPlan->masterTableName;
CreateStmt *createStatement = NULL;
RangeTblEntry *rangeTableEntry = (RangeTblEntry *) linitial(rangeTableList);
List *columnNameValueList = rangeTableEntry->eref->colnames;
List *columnNameList = ValueToStringList(columnNameValueList);
List *targetList = MasterTargetList(workerTargetList);
createStatement = BuildCreateStatement(tableName, targetList, columnNameList);
return createStatement;
}
/*
* MasterNodeSelectPlan takes in a distributed plan, finds the master node query
* structure in that plan, and builds the final select plan to execute on the
* master node. Note that this select plan is executed after result files are
* retrieved from worker nodes and are merged into a temporary table.
* MasterNodeSelectPlan takes in a distributed plan and a custom scan node which
* wraps remote part of the plan. This function finds the master node query
* structure in the multi plan, and builds the final select plan to execute on
* the tuples returned by remote scan on the master node. Note that this select
* plan is executed after result files are retrieved from worker nodes and
* filled into the tuple store inside provided custom scan.
*/
PlannedStmt *
MasterNodeSelectPlan(MultiPlan *multiPlan)
MasterNodeSelectPlan(MultiPlan *multiPlan, CustomScan *remoteScan)
{
Query *masterQuery = multiPlan->masterQuery;
char *tableName = multiPlan->masterTableName;
PlannedStmt *masterSelectPlan = NULL;
Job *workerJob = multiPlan->workerJob;
List *workerTargetList = workerJob->jobQuery->targetList;
List *masterTargetList = MasterTargetList(workerTargetList);
masterSelectPlan = BuildSelectStatement(masterQuery, tableName, masterTargetList);
masterSelectPlan = BuildSelectStatement(masterQuery, masterTargetList, remoteScan);
return masterSelectPlan;
}
/*
* MasterNodeCopyStatementList takes in a multi plan, and constructs
* statements that copy over worker task results to a temporary table on the
* master node.
*/
List *
MasterNodeCopyStatementList(MultiPlan *multiPlan)
{
Job *workerJob = multiPlan->workerJob;
List *workerTaskList = workerJob->taskList;
char *tableName = multiPlan->masterTableName;
List *copyStatementList = NIL;
ListCell *workerTaskCell = NULL;
foreach(workerTaskCell, workerTaskList)
{
Task *workerTask = (Task *) lfirst(workerTaskCell);
StringInfo jobDirectoryName = MasterJobDirectoryName(workerTask->jobId);
StringInfo taskFilename = TaskFilename(jobDirectoryName, workerTask->taskId);
RangeVar *relation = makeRangeVar(NULL, tableName, -1);
CopyStmt *copyStatement = makeNode(CopyStmt);
copyStatement->relation = relation;
copyStatement->is_from = true;
copyStatement->filename = taskFilename->data;
if (BinaryMasterCopyFormat)
{
DefElem *copyOption = makeDefElem("format", (Node *) makeString("binary"));
copyStatement->options = list_make1(copyOption);
}
else
{
copyStatement->options = NIL;
}
copyStatementList = lappend(copyStatementList, copyStatement);
}
return copyStatementList;
}

8
src/backend/distributed/planner/multi_physical_planner.c
View File

@ -196,9 +196,7 @@ MultiPlan *
MultiPhysicalPlanCreate(MultiTreeRoot *multiTree)
{
MultiPlan *multiPlan = NULL;
StringInfo jobSchemaName = NULL;
Job *workerJob = NULL;
uint64 workerJobId = 0;
Query *masterQuery = NULL;
List *masterDependedJobList = NIL;
@ -207,10 +205,6 @@ MultiPhysicalPlanCreate(MultiTreeRoot *multiTree)
/* create the tree of executable tasks for the worker job */
workerJob = BuildJobTreeTaskList(workerJob);
workerJobId = workerJob->jobId;
/* get job schema name */
jobSchemaName = JobSchemaName(workerJobId);
/* build the final merge query to execute on the master */
masterDependedJobList = list_make1(workerJob);
@ -219,8 +213,8 @@ MultiPhysicalPlanCreate(MultiTreeRoot *multiTree)
multiPlan = CitusMakeNode(MultiPlan);
multiPlan->workerJob = workerJob;
multiPlan->masterQuery = masterQuery;
multiPlan->masterTableName = jobSchemaName->data;
multiPlan->routerExecutable = MultiPlanRouterExecutable(multiPlan);
multiPlan->operation = CMD_SELECT;
return multiPlan;
}

376
src/backend/distributed/planner/multi_planner.c
View File

@ -16,36 +16,55 @@
#include "distributed/citus_nodefuncs.h"
#include "distributed/citus_nodes.h"
#include "distributed/metadata_cache.h"
#include "distributed/multi_executor.h"
#include "distributed/multi_planner.h"
#include "distributed/multi_logical_optimizer.h"
#include "distributed/multi_logical_planner.h"
#include "distributed/multi_physical_planner.h"
#include "distributed/multi_master_planner.h"
#include "distributed/multi_router_planner.h"
#include "executor/executor.h"
#include "nodes/makefuncs.h"
#include "nodes/nodeFuncs.h"
#include "optimizer/planner.h"
#include "utils/memutils.h"
static List *relationRestrictionContextList = NIL;
/* create custom scan methods for separate executors */
static CustomScanMethods RealTimeCustomScanMethods = {
"Citus Real-Time",
RealTimeCreateScan
};
static CustomScanMethods TaskTrackerCustomScanMethods = {
"Citus Task-Tracker",
TaskTrackerCreateScan
};
static CustomScanMethods RouterCustomScanMethods = {
"Citus Router",
RouterCreateScan
};
static CustomScanMethods DelayedErrorCustomScanMethods = {
"Citus Delayed Error",
DelayedErrorCreateScan
};
/* local function forward declarations */
static PlannedStmt * CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery,
Query *query, ParamListInfo boundParams,
RelationRestrictionContext *restrictionContext);
static Node * SerializeMultiPlan(struct MultiPlan *multiPlan);
static MultiPlan * DeserializeMultiPlan(Node *node);
static PlannedStmt * FinalizePlan(PlannedStmt *localPlan, MultiPlan *multiPlan);
static PlannedStmt * FinalizeNonRouterPlan(PlannedStmt *localPlan, MultiPlan *multiPlan,
CustomScan *customScan);
static PlannedStmt * FinalizeRouterPlan(PlannedStmt *localPlan, CustomScan *customScan);
static void CheckNodeIsDumpable(Node *node);
static char * GetMultiPlanString(PlannedStmt *result);
static PlannedStmt * MultiQueryContainerNode(PlannedStmt *result,
struct MultiPlan *multiPlan);
static struct PlannedStmt * CreateDistributedPlan(PlannedStmt *localPlan,
Query *originalQuery,
Query *query,
ParamListInfo boundParams,
RelationRestrictionContext *
restrictionContext);
static RelationRestrictionContext * CreateAndPushRestrictionContext(void);
static RelationRestrictionContext * CurrentRestrictionContext(void);
static void PopRestrictionContext(void);
@ -143,22 +162,21 @@ IsModifyCommand(Query *query)
/*
* VerifyMultiPlanValidity verifies that multiPlan is ready for execution, or
* errors out if not.
*
* A plan may e.g. not be ready for execution because CreateDistributedPlan()
* couldn't find a plan due to unresolved prepared statement parameters, but
* didn't error out, because we expect custom plans to come to our rescue.
* But sql (not plpgsql) functions unfortunately don't go through a codepath
* supporting custom plans.
* IsModifyMultiPlan returns true if the multi plan performs modifications,
* false otherwise.
*/
void
VerifyMultiPlanValidity(MultiPlan *multiPlan)
bool
IsModifyMultiPlan(MultiPlan *multiPlan)
{
if (multiPlan->planningError)
bool isModifyMultiPlan = false;
CmdType operation = multiPlan->operation;
if (operation == CMD_INSERT || operation == CMD_UPDATE || operation == CMD_DELETE)
{
RaiseDeferredError(multiPlan->planningError, ERROR);
isModifyMultiPlan = true;
}
return isModifyMultiPlan;
}
@ -273,8 +291,8 @@ CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery, Query *query
RaiseDeferredError(distributedPlan->planningError, ERROR);
}
/* store required data into the planned statement */
resultPlan = MultiQueryContainerNode(localPlan, distributedPlan);
/* create final plan by combining local plan with distributed plan */
resultPlan = FinalizePlan(localPlan, distributedPlan);
/*
* As explained above, force planning costs to be unrealistically high if
@ -294,16 +312,63 @@ CreateDistributedPlan(PlannedStmt *localPlan, Query *originalQuery, Query *query
/*
* GetMultiPlan returns the associated MultiPlan for a PlannedStmt if the
* statement requires distributed execution, NULL otherwise.
* GetMultiPlan returns the associated MultiPlan for a CustomScan.
*/
MultiPlan *
GetMultiPlan(PlannedStmt *result)
GetMultiPlan(CustomScan *customScan)
{
MultiPlan *multiPlan = NULL;
Assert(list_length(customScan->custom_private) == 1);
multiPlan = DeserializeMultiPlan(linitial(customScan->custom_private));
return multiPlan;
}
/*
* SerializeMultiPlan returns the string representing the distributed plan in a
* Const node.
*
* Note that this should be improved for 9.6+, we we can copy trees efficiently.
* I.e. we should introduce copy support for relevant node types, and just
* return the MultiPlan as-is for 9.6.
*/
static Node *
SerializeMultiPlan(MultiPlan *multiPlan)
{
char *serializedMultiPlan = NULL;
Const *multiPlanData = NULL;
serializedMultiPlan = CitusNodeToString(multiPlan);
multiPlanData = makeNode(Const);
multiPlanData->consttype = CSTRINGOID;
multiPlanData->constlen = strlen(serializedMultiPlan);
multiPlanData->constvalue = CStringGetDatum(serializedMultiPlan);
multiPlanData->constbyval = false;
multiPlanData->location = -1;
return (Node *) multiPlanData;
}
/*
* DeserializeMultiPlan returns the deserialized distributed plan from the string
* representation in a Const node.
*/
static MultiPlan *
DeserializeMultiPlan(Node *node)
{
Const *multiPlanData = NULL;
char *serializedMultiPlan = NULL;
MultiPlan *multiPlan = NULL;
serializedMultiPlan = GetMultiPlanString(result);
Assert(IsA(node, Const));
multiPlanData = (Const *) node;
serializedMultiPlan = DatumGetCString(multiPlanData->constvalue);
multiPlan = (MultiPlan *) CitusStringToNode(serializedMultiPlan);
Assert(CitusIsA(multiPlan, MultiPlan));
@ -311,159 +376,172 @@ GetMultiPlan(PlannedStmt *result)
}
/* Does the passed in statement require distributed execution? */
bool
HasCitusToplevelNode(PlannedStmt *result)
/*
* FinalizePlan combines local plan with distributed plan and creates a plan
* which can be run by the PostgreSQL executor.
*/
static PlannedStmt *
FinalizePlan(PlannedStmt *localPlan, MultiPlan *multiPlan)
{
/*
* Can't be a distributed query if the extension hasn't been loaded
* yet. Directly return false, part of the required infrastructure for
* further checks might not be present.
*/
if (!CitusHasBeenLoaded())
PlannedStmt *finalPlan = NULL;
CustomScan *customScan = makeNode(CustomScan);
Node *multiPlanData = NULL;
MultiExecutorType executorType = MULTI_EXECUTOR_INVALID_FIRST;
if (!multiPlan->planningError)
{
return false;
executorType = JobExecutorType(multiPlan);
}
if (GetMultiPlanString(result) == NULL)
switch (executorType)
{
return false;
case MULTI_EXECUTOR_REAL_TIME:
{
customScan->methods = &RealTimeCustomScanMethods;
break;
}
case MULTI_EXECUTOR_TASK_TRACKER:
{
customScan->methods = &TaskTrackerCustomScanMethods;
break;
}
case MULTI_EXECUTOR_ROUTER:
{
customScan->methods = &RouterCustomScanMethods;
break;
}
default:
{
customScan->methods = &DelayedErrorCustomScanMethods;
break;
}
}
multiPlanData = SerializeMultiPlan(multiPlan);
customScan->custom_private = list_make1(multiPlanData);
customScan->flags = CUSTOMPATH_SUPPORT_BACKWARD_SCAN;
/* check if we have a master query */
if (multiPlan->masterQuery)
{
finalPlan = FinalizeNonRouterPlan(localPlan, multiPlan, customScan);
}
else
{
return true;
finalPlan = FinalizeRouterPlan(localPlan, customScan);
}
return finalPlan;
}
/*
* CreateCitusToplevelNode creates the top-level planTree node for a
* distributed statement. That top-level node is a) recognizable by the
* executor hooks, allowing them to redirect execution, b) contains the
* parameters required for distributed execution.
*
* The exact representation of the top-level node is an implementation detail
* which should not be referred to outside this file, as it's likely to become
* version dependant. Use GetMultiPlan() and HasCitusToplevelNode() to access.
*
* Internally the data is stored as arguments to a 'citus_extradata_container'
* function, which has to be removed from the really executed plan tree before
* query execution.
* FinalizeNonRouterPlan gets the distributed custom scan plan, and creates the
* final master select plan on the top of this distributed plan for real-time
* and task-tracker executors.
*/
PlannedStmt *
MultiQueryContainerNode(PlannedStmt *result, MultiPlan *multiPlan)
static PlannedStmt *
FinalizeNonRouterPlan(PlannedStmt *localPlan, MultiPlan *multiPlan,
CustomScan *customScan)
{
FunctionScan *fauxFunctionScan = NULL;
RangeTblFunction *fauxFunction = NULL;
FuncExpr *fauxFuncExpr = NULL;
Const *multiPlanData = NULL;
char *serializedPlan = NULL;
PlannedStmt *finalPlan = NULL;
/* pass multiPlan serialized as a constant function argument */
serializedPlan = CitusNodeToString(multiPlan);
multiPlanData = makeNode(Const);
multiPlanData->consttype = CSTRINGOID;
multiPlanData->constlen = strlen(serializedPlan);
multiPlanData->constvalue = CStringGetDatum(serializedPlan);
multiPlanData->constbyval = false;
multiPlanData->location = -1;
finalPlan = MasterNodeSelectPlan(multiPlan, customScan);
finalPlan->queryId = localPlan->queryId;
finalPlan->utilityStmt = localPlan->utilityStmt;
fauxFuncExpr = makeNode(FuncExpr);
fauxFuncExpr->funcid = CitusExtraDataContainerFuncId();
fauxFuncExpr->funcretset = true;
fauxFuncExpr->location = -1;
fauxFuncExpr->args = list_make1(multiPlanData);
fauxFunction = makeNode(RangeTblFunction);
fauxFunction->funcexpr = (Node *) fauxFuncExpr;
fauxFunctionScan = makeNode(FunctionScan);
fauxFunctionScan->functions = lappend(fauxFunctionScan->functions, fauxFunction);
/* copy original targetlist, accessed for RETURNING queries */
fauxFunctionScan->scan.plan.targetlist = copyObject(result->planTree->targetlist);
/*
* Add set returning function to target list if the original (postgres
* created) plan doesn't support backward scans; doing so prevents
* backward scans being supported by the new plantree as well. This is
* ugly as hell, but until we can rely on custom scans (which can signal
* this via CUSTOMPATH_SUPPORT_BACKWARD_SCAN), there's not really a pretty
* method to achieve this.
*
* FIXME: This should really be done on the master select plan.
*/
if (!ExecSupportsBackwardScan(result->planTree))
{
FuncExpr *funcExpr = makeNode(FuncExpr);
TargetEntry *targetEntry = NULL;
bool resjunkAttribute = true;
funcExpr->funcretset = true;
targetEntry = makeTargetEntry((Expr *) funcExpr, InvalidAttrNumber, NULL,
resjunkAttribute);
fauxFunctionScan->scan.plan.targetlist =
lappend(fauxFunctionScan->scan.plan.targetlist,
targetEntry);
}
result->planTree = (Plan *) fauxFunctionScan;
return result;
return finalPlan;
}
/*
* GetMultiPlanString returns either NULL, if the plan is not a distributed
* one, or the string representing the distributed plan.
* FinalizeRouterPlan gets a CustomScan node which already wrapped distributed
* part of a router plan and sets it as the direct child of the router plan
* because we don't run any query on master node for router executable queries.
* Here, we also rebuild the column list to read from the remote scan.
*/
static char *
GetMultiPlanString(PlannedStmt *result)
static PlannedStmt *
FinalizeRouterPlan(PlannedStmt *localPlan, CustomScan *customScan)
{
FunctionScan *fauxFunctionScan = NULL;
RangeTblFunction *fauxFunction = NULL;
FuncExpr *fauxFuncExpr = NULL;
Const *multiPlanData = NULL;
PlannedStmt *routerPlan = NULL;
RangeTblEntry *remoteScanRangeTableEntry = NULL;
ListCell *targetEntryCell = NULL;
List *targetList = NIL;
List *columnNameList = NIL;
if (!IsA(result->planTree, FunctionScan))
/* we will have only one range table entry */
int customScanRangeTableIndex = 1;
/* build a targetlist to read from the custom scan output */
foreach(targetEntryCell, localPlan->planTree->targetlist)
{
return NULL;
TargetEntry *targetEntry = lfirst(targetEntryCell);
TargetEntry *newTargetEntry = NULL;
Var *newVar = NULL;
Value *columnName = NULL;
Assert(IsA(targetEntry, TargetEntry));
/*
* This is unlikely to be hit because we would not need resjunk stuff
* at the toplevel of a router query - all things needing it have been
* pushed down.
*/
if (targetEntry->resjunk)
{
continue;
}
/* build target entry pointing to remote scan range table entry */
newVar = makeVarFromTargetEntry(customScanRangeTableIndex, targetEntry);
newTargetEntry = flatCopyTargetEntry(targetEntry);
newTargetEntry->expr = (Expr *) newVar;
targetList = lappend(targetList, newTargetEntry);
columnName = makeString(targetEntry->resname);
columnNameList = lappend(columnNameList, columnName);
}
fauxFunctionScan = (FunctionScan *) result->planTree;
customScan->scan.plan.targetlist = targetList;
if (list_length(fauxFunctionScan->functions) != 1)
{
return NULL;
}
routerPlan = makeNode(PlannedStmt);
routerPlan->planTree = (Plan *) customScan;
fauxFunction = linitial(fauxFunctionScan->functions);
remoteScanRangeTableEntry = RemoteScanRangeTableEntry(columnNameList);
routerPlan->rtable = list_make1(remoteScanRangeTableEntry);
if (!IsA(fauxFunction->funcexpr, FuncExpr))
{
return NULL;
}
routerPlan->canSetTag = true;
routerPlan->relationOids = NIL;
fauxFuncExpr = (FuncExpr *) fauxFunction->funcexpr;
routerPlan->queryId = localPlan->queryId;
routerPlan->utilityStmt = localPlan->utilityStmt;
routerPlan->commandType = localPlan->commandType;
routerPlan->hasReturning = localPlan->hasReturning;
if (fauxFuncExpr->funcid != CitusExtraDataContainerFuncId())
{
return NULL;
}
return routerPlan;
}
if (list_length(fauxFuncExpr->args) != 1)
{
ereport(ERROR, (errmsg("unexpected number of function arguments to "
"citus_extradata_container")));
}
multiPlanData = (Const *) linitial(fauxFuncExpr->args);
Assert(IsA(multiPlanData, Const));
Assert(multiPlanData->consttype == CSTRINGOID);
/*
* RemoteScanRangeTableEntry creates a range table entry from given column name
* list to represent a remote scan.
*/
RangeTblEntry *
RemoteScanRangeTableEntry(List *columnNameList)
{
RangeTblEntry *remoteScanRangeTableEntry = makeNode(RangeTblEntry);
return DatumGetCString(multiPlanData->constvalue);
/* we use RTE_VALUES for custom scan because we can't look up relation */
remoteScanRangeTableEntry->rtekind = RTE_VALUES;
remoteScanRangeTableEntry->eref = makeAlias("remote_scan", columnNameList);
remoteScanRangeTableEntry->inh = false;
remoteScanRangeTableEntry->inFromCl = true;
return remoteScanRangeTableEntry;
}

18
src/backend/distributed/planner/multi_router_planner.c
View File

@ -195,6 +195,8 @@ CreateSingleTaskRouterPlan(Query *originalQuery, Query *query,
List *placementList = NIL;
MultiPlan *multiPlan = CitusMakeNode(MultiPlan);
multiPlan->operation = query->commandType;
if (commandType == CMD_INSERT || commandType == CMD_UPDATE ||
commandType == CMD_DELETE)
{
@ -234,8 +236,13 @@ CreateSingleTaskRouterPlan(Query *originalQuery, Query *query,
multiPlan->workerJob = job;
multiPlan->masterQuery = NULL;
multiPlan->masterTableName = NULL;
multiPlan->routerExecutable = true;
multiPlan->hasReturning = false;
if (list_length(originalQuery->returningList) > 0)
{
multiPlan->hasReturning = true;
}
return multiPlan;
}
@ -264,6 +271,8 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
int shardCount = targetCacheEntry->shardIntervalArrayLength;
bool allReferenceTables = restrictionContext->allReferenceTables;
multiPlan->operation = originalQuery->commandType;
/*
* Error semantics for INSERT ... SELECT queries are different than regular
* modify queries. Thus, handle separately.
@ -316,9 +325,14 @@ CreateInsertSelectRouterPlan(Query *originalQuery,
/* and finally the multi plan */
multiPlan->workerJob = workerJob;
multiPlan->masterTableName = NULL;
multiPlan->masterQuery = NULL;
multiPlan->routerExecutable = true;
multiPlan->hasReturning = false;
if (list_length(originalQuery->returningList) > 0)
{
multiPlan->hasReturning = true;
}
return multiPlan;
}

18
src/backend/distributed/shared_library_init.c
View File

@ -24,7 +24,6 @@
#include "distributed/master_metadata_utility.h"
#include "distributed/master_protocol.h"
#include "distributed/multi_copy.h"
#include "distributed/multi_executor.h"
#include "distributed/multi_explain.h"
#include "distributed/multi_join_order.h"
#include "distributed/multi_logical_optimizer.h"
@ -115,13 +114,7 @@ _PG_init(void)
* (thus as the innermost/last running hook) to be able to do our
* duties. For simplicity insist that all hooks are previously unused.
*/
if (planner_hook != NULL ||
ExplainOneQuery_hook != NULL ||
ExecutorStart_hook != NULL ||
ExecutorRun_hook != NULL ||
ExecutorFinish_hook != NULL ||
ExecutorEnd_hook != NULL ||
ProcessUtility_hook != NULL)
if (planner_hook != NULL || ProcessUtility_hook != NULL)
{
ereport(ERROR, (errmsg("Citus has to be loaded first"),
errhint("Place citus at the beginning of "
@ -147,15 +140,6 @@ _PG_init(void)
/* intercept planner */
planner_hook = multi_planner;
/* intercept explain */
ExplainOneQuery_hook = MultiExplainOneQuery;
/* intercept executor */
ExecutorStart_hook = multi_ExecutorStart;
ExecutorRun_hook = multi_ExecutorRun;
ExecutorFinish_hook = multi_ExecutorFinish;
ExecutorEnd_hook = multi_ExecutorEnd;
/* register utility hook */
ProcessUtility_hook = multi_ProcessUtility;

4
src/backend/distributed/utils/citus_outfuncs.c
View File

@ -276,9 +276,11 @@ OutMultiPlan(OUTFUNC_ARGS)
WRITE_NODE_TYPE("MULTIPLAN");
WRITE_INT_FIELD(operation);
WRITE_BOOL_FIELD(hasReturning);
WRITE_NODE_FIELD(workerJob);
WRITE_NODE_FIELD(masterQuery);
WRITE_STRING_FIELD(masterTableName);
WRITE_BOOL_FIELD(routerExecutable);
WRITE_NODE_FIELD(planningError);
}

4
src/backend/distributed/utils/citus_readfuncs.c
View File

@ -183,9 +183,11 @@ ReadMultiPlan(READFUNC_ARGS)
{
READ_LOCALS(MultiPlan);
READ_INT_FIELD(operation);
READ_BOOL_FIELD(hasReturning);
READ_NODE_FIELD(workerJob);
READ_NODE_FIELD(masterQuery);
READ_STRING_FIELD(masterTableName);
READ_BOOL_FIELD(routerExecutable);
READ_NODE_FIELD(planningError);

36
src/include/distributed/multi_executor.h
View File

@ -12,10 +12,11 @@
#include "executor/execdesc.h"
#include "nodes/parsenodes.h"
#include "nodes/execnodes.h"
#include "distributed/multi_physical_planner.h"
#include "distributed/multi_server_executor.h"
/* signal currently executed statement is a master select statement or router execution */
#define EXEC_FLAG_CITUS_MASTER_SELECT 0x100
#define EXEC_FLAG_CITUS_ROUTER_EXECUTOR 0x200
#if (PG_VERSION_NUM >= 90600)
#define tuplecount_t uint64
@ -23,10 +24,29 @@
#define tuplecount_t long
#endif
extern void multi_ExecutorStart(QueryDesc *queryDesc, int eflags);
extern void multi_ExecutorRun(QueryDesc *queryDesc,
ScanDirection direction, tuplecount_t count);
extern void multi_ExecutorFinish(QueryDesc *queryDesc);
extern void multi_ExecutorEnd(QueryDesc *queryDesc);
typedef struct CitusScanState
{
CustomScanState customScanState; /* underlying custom scan node */
MultiPlan *multiPlan; /* distributed execution plan */
MultiExecutorType executorType; /* distributed executor type */
bool finishedRemoteScan; /* flag to check if remote scan is finished */
Tuplestorestate *tuplestorestate; /* tuple store to store distributed results */
} CitusScanState;
extern Node * RealTimeCreateScan(CustomScan *scan);
extern Node * TaskTrackerCreateScan(CustomScan *scan);
extern Node * RouterCreateScan(CustomScan *scan);
extern Node * DelayedErrorCreateScan(CustomScan *scan);
extern void CitusSelectBeginScan(CustomScanState *node, EState *estate, int eflags);
extern TupleTableSlot * RealTimeExecScan(CustomScanState *node);
extern TupleTableSlot * TaskTrackerExecScan(CustomScanState *node);
extern void CitusEndScan(CustomScanState *node);
extern void CitusReScan(CustomScanState *node);
extern void CitusExplainScan(CustomScanState *node, List *ancestors, struct
ExplainState *es);
extern TupleTableSlot * ReturnTupleFromTuplestore(CitusScanState *scanState);
#endif /* MULTI_EXECUTOR_H */

3
src/include/distributed/multi_explain.h
View File

@ -16,7 +16,4 @@
extern bool ExplainDistributedQueries;
extern bool ExplainAllTasks;
extern void MultiExplainOneQuery(Query *query, IntoClause *into, ExplainState *es,
const char *queryString, ParamListInfo params);
#endif /* MULTI_EXPLAIN_H */

7
src/include/distributed/multi_master_planner.h
View File

@ -21,8 +21,9 @@
/* Function declarations for building local plans on the master node */
struct MultiPlan;
extern CreateStmt * MasterNodeCreateStatement(struct MultiPlan *multiPlan);
extern List * MasterNodeCopyStatementList(struct MultiPlan *multiPlan);
extern PlannedStmt * MasterNodeSelectPlan(struct MultiPlan *multiPlan);
struct CustomScan;
extern PlannedStmt * MasterNodeSelectPlan(struct MultiPlan *multiPlan,
struct CustomScan *dataScan);
#endif /* MULTI_MASTER_PLANNER_H */

4
src/include/distributed/multi_physical_planner.h
View File

@ -213,9 +213,11 @@ typedef struct JoinSequenceNode
typedef struct MultiPlan
{
CitusNode type;
CmdType operation;
bool hasReturning;
Job *workerJob;
Query *masterQuery;
char *masterTableName;
bool routerExecutable;
/*

7
src/include/distributed/multi_planner.h
View File

@ -51,12 +51,13 @@ typedef struct RelationShard
extern PlannedStmt * multi_planner(Query *parse, int cursorOptions,
ParamListInfo boundParams);
extern bool HasCitusToplevelNode(PlannedStmt *planStatement);
struct MultiPlan;
extern struct MultiPlan * GetMultiPlan(PlannedStmt *planStatement);
extern struct MultiPlan * GetMultiPlan(CustomScan *node);
extern void multi_relation_restriction_hook(PlannerInfo *root, RelOptInfo *relOptInfo,
Index index, RangeTblEntry *rte);
extern bool IsModifyCommand(Query *query);
extern void VerifyMultiPlanValidity(struct MultiPlan *multiPlan);
extern bool IsModifyMultiPlan(struct MultiPlan *multiPlan);
extern RangeTblEntry * RemoteScanRangeTableEntry(List *columnNameList);
#endif /* MULTI_PLANNER_H */

12
src/include/distributed/multi_router_executor.h
View File

@ -12,8 +12,10 @@
#include "c.h"
#include "access/sdir.h"
#include "distributed/multi_executor.h"
#include "distributed/multi_physical_planner.h"
#include "executor/execdesc.h"
#include "executor/tuptable.h"
#include "nodes/pg_list.h"
@ -33,12 +35,12 @@ typedef struct XactShardConnSet
extern bool AllModificationsCommutative;
extern bool EnableDeadlockPrevention;
extern void RouterExecutorStart(QueryDesc *queryDesc, int eflags, List *taskList);
extern void RouterExecutorRun(QueryDesc *queryDesc, ScanDirection direction, long count);
extern void RouterExecutorFinish(QueryDesc *queryDesc);
extern void RouterExecutorEnd(QueryDesc *queryDesc);
extern void CitusModifyBeginScan(CustomScanState *node, EState *estate, int eflags);
extern TupleTableSlot * RouterSingleModifyExecScan(CustomScanState *node);
extern TupleTableSlot * RouterSelectExecScan(CustomScanState *node);
extern TupleTableSlot * RouterMultiModifyExecScan(CustomScanState *node);
extern int64 ExecuteModifyTasksWithoutResults(List *taskList);
#endif /* MULTI_ROUTER_EXECUTOR_H_ */

820
src/test/regress/expected/multi_explain.out
View File

@ -39,88 +39,81 @@ $BODY$ LANGUAGE plpgsql;
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_570000
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_570000_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_570000_0
-> HashAggregate
Group Key: intermediate_column_570000_0
-> Seq Scan on pg_merge_job_570000
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test JSON format
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
[
{
"Executor": "Real-Time",
"Job": {
"Task Count": 8,
"Tasks Shown": "One of 8",
"Tasks": [
"Plan": {
"Node Type": "Sort",
"Parallel Aware": false,
"Sort Key": ["COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "l_quantity"],
"Plans": [
{
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Real-Time",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 8,
"Tasks Shown": "One of 8",
"Tasks": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "lineitem_290001",
"Alias": "lineitem"
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "lineitem_290001",
"Alias": "lineitem"
}
]
}
}
]
]
}
]
}
}
]
]
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Sort",
"Parallel Aware": false,
"Sort Key": ["COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_570001_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "intermediate_column_570001_0"],
"Plans": [
{
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Group Key": ["intermediate_column_570001_0"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "pg_merge_job_570001",
"Alias": "pg_merge_job_570001"
}
]
}
]
}
}
]
]
}
}
]
-- Validate JSON format
@ -133,75 +126,71 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Real-Time</Executor>
<Job>
<Task-Count>8</Task-Count>
<Tasks-Shown>One of 8</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>lineitem_290001</Relation-Name>
<Alias>lineitem</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Sort</Node-Type>
<Parallel-Aware>false</Parallel-Aware>
<Sort-Key>
<Item>COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>l_quantity</Item>
</Sort-Key>
<Plans>
<Plan>
<Node-Type>Sort</Node-Type>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Sort-Key>
<Item>COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_570003_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>intermediate_column_570003_0</Item>
</Sort-Key>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Real-Time</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>intermediate_column_570003_0</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>pg_merge_job_570003</Relation-Name>
<Alias>pg_merge_job_570003</Alias>
</Plan>
</Plans>
<Distributed-Query>
<Job>
<Task-Count>8</Task-Count>
<Tasks-Shown>One of 8</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>lineitem_290001</Relation-Name>
<Alias>lineitem</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
-- Validate XML format
SELECT true AS valid FROM explain_xml($$
@ -212,115 +201,103 @@ t
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
- Executor: "Real-Time"
Job:
Task Count: 8
Tasks Shown: "One of 8"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parallel Aware: false
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "lineitem_290001"
Alias: "lineitem"
Master Query:
- Plan:
Node Type: "Sort"
- Plan:
Node Type: "Sort"
Parallel Aware: false
Sort Key:
- "COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parent Relationship: "Outer"
Parallel Aware: false
Sort Key:
- "COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_570005_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "intermediate_column_570005_0"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Real-Time"
Parallel Aware: false
Group Key:
- "intermediate_column_570005_0"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "pg_merge_job_570005"
Alias: "pg_merge_job_570005"
Distributed Query:
Job:
Task Count: 8
Tasks Shown: "One of 8"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parallel Aware: false
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "lineitem_290001"
Alias: "lineitem"
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_570006
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_570006_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_570006_0
-> HashAggregate
Group Key: intermediate_column_570006_0
-> Seq Scan on pg_merge_job_570006
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test verbose
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem;
Distributed Query into pg_merge_job_570007
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_570007_0) / (sum(intermediate_column_570007_1) / pg_catalog.sum(intermediate_column_570007_2)))
-> Seq Scan on pg_temp_2.pg_merge_job_570007
Output: intermediate_column_570007_0, intermediate_column_570007_1, intermediate_column_570007_2
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / pg_catalog.sum("?column?_2")))
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2"
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test join
EXPLAIN (COSTS FALSE)
SELECT * FROM lineitem
JOIN orders ON l_orderkey = o_orderkey AND l_quantity < 5.0
ORDER BY l_quantity LIMIT 10;
Distributed Query into pg_merge_job_570008
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem.l_quantity
-> Hash Join
Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_290008 orders
Master Query
-> Limit
-> Sort
Sort Key: intermediate_column_570008_4
-> Seq Scan on pg_merge_job_570008
Limit
-> Sort
Sort Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem.l_quantity
-> Hash Join
Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_290008 orders
-- Test insert
EXPLAIN (COSTS FALSE)
INSERT INTO lineitem VALUES(1,0);
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -332,8 +309,7 @@ EXPLAIN (COSTS FALSE)
UPDATE lineitem
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -348,8 +324,7 @@ Distributed Query
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -363,8 +338,7 @@ Distributed Query
-- Test single-shard SELECT
EXPLAIN (COSTS FALSE)
SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
Distributed Query into pg_merge_job_570009
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -383,89 +357,77 @@ t
EXPLAIN (COSTS FALSE)
CREATE TABLE explain_result AS
SELECT * FROM lineitem;
Distributed Query into pg_merge_job_570012
Executor: Real-Time
Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Seq Scan on pg_merge_job_570012
-- Test having
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem
HAVING sum(l_quantity) > 100;
Distributed Query into pg_merge_job_570013
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity), sum(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_570013_0) / (sum(intermediate_column_570013_1) / pg_catalog.sum(intermediate_column_570013_2)))
Filter: (sum(pg_merge_job_570013.intermediate_column_570013_3) > '100'::numeric)
-> Seq Scan on pg_temp_2.pg_merge_job_570013
Output: intermediate_column_570013_0, intermediate_column_570013_1, intermediate_column_570013_2, intermediate_column_570013_3
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / pg_catalog.sum("?column?_2")))
Filter: (sum(remote_scan.worker_column_4) > '100'::numeric)
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2", worker_column_4
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity), sum(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test having without aggregate
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT l_quantity FROM lineitem
GROUP BY l_quantity
HAVING l_quantity > (100 * random());
Distributed Query into pg_merge_job_570014
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_quantity, l_quantity
Group Key: lineitem.l_quantity
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> HashAggregate
Output: intermediate_column_570014_0
Group Key: pg_merge_job_570014.intermediate_column_570014_0
Filter: ((pg_merge_job_570014.intermediate_column_570014_1)::double precision > ('100'::double precision * random()))
-> Seq Scan on pg_temp_2.pg_merge_job_570014
Output: intermediate_column_570014_0, intermediate_column_570014_1
HashAggregate
Output: l_quantity
Group Key: remote_scan.l_quantity
Filter: ((remote_scan.worker_column_2)::double precision > ('100'::double precision * random()))
-> Custom Scan (Citus Real-Time)
Output: l_quantity, worker_column_2
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_quantity, l_quantity
Group Key: lineitem.l_quantity
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test all tasks output
SET citus.explain_all_tasks TO on;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_570015
Executor: Real-Time
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290004 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290007 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290006 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570015
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290004 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290007 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290006 lineitem
Filter: (l_orderkey > 9030)
SELECT true AS valid FROM explain_xml($$
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030$$);
t
@ -477,18 +439,15 @@ SET citus.task_executor_type TO 'task-tracker';
SET citus.explain_all_tasks TO off;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_570018
Executor: Task-Tracker
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570018
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-- Test re-partition join
SET citus.large_table_shard_count TO 1;
EXPLAIN (COSTS FALSE)
@ -497,19 +456,16 @@ EXPLAIN (COSTS FALSE)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
Distributed Query into pg_merge_job_570021
Executor: Task-Tracker
Task Count: 1
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 1
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 1
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 8
Map Task Count: 1
Merge Task Count: 1
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570021
-> MapMergeJob
Map Task Count: 8
Merge Task Count: 1
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT count(*)
FROM lineitem, orders, customer, supplier_single_shard
@ -518,42 +474,38 @@ EXPLAIN (COSTS FALSE, FORMAT JSON)
AND l_suppkey = s_suppkey;
[
{
"Executor": "Task-Tracker",
"Job": {
"Task Count": 1,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Plans": [
{
"Map Task Count": 1,
"Merge Task Count": 1,
"Depended Jobs": [
{
"Map Task Count": 8,
"Merge Task Count": 1
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Task-Tracker",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 1,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
{
"Map Task Count": 1,
"Merge Task Count": 1,
"Depended Jobs": [
{
"Map Task Count": 8,
"Merge Task Count": 1
}
]
}
]
}
]
}
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "pg_merge_job_570024",
"Alias": "pg_merge_job_570024"
}
]
}
}
]
}
}
]
SELECT true AS valid FROM explain_json($$
@ -570,44 +522,40 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Task-Tracker</Executor>
<Job>
<Task-Count>1</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>8</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
</Depended-Jobs>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Task-Tracker</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>pg_merge_job_570030</Relation-Name>
<Alias>pg_merge_job_570030</Alias>
</Plan>
</Plans>
<Distributed-Query>
<Job>
<Task-Count>1</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>8</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
</Depended-Jobs>
</Job>
</Distributed-Query>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
@ -635,28 +583,26 @@ EXPLAIN (COSTS FALSE, FORMAT YAML)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
- Executor: "Task-Tracker"
Job:
Task Count: 1
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 1
Merge Task Count: 1
Depended Jobs:
- Map Task Count: 8
Merge Task Count: 1
Master Query:
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Partial Mode: "Simple"
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Partial Mode: "Simple"
Parallel Aware: false
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Task-Tracker"
Parallel Aware: false
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "pg_merge_job_570035"
Alias: "pg_merge_job_570035"
Distributed Query:
Job:
Task Count: 1
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 1
Merge Task Count: 1
Depended Jobs:
- Map Task Count: 8
Merge Task Count: 1
-- test parallel aggregates
SET parallel_setup_cost=0;
SET parallel_tuple_cost=0;
@ -672,38 +618,31 @@ Finalize Aggregate
-> Parallel Seq Scan on lineitem_clone
-- ensure distributed plans don't break
EXPLAIN (COSTS FALSE) SELECT avg(l_linenumber) FROM lineitem;
Distributed Query into pg_merge_job_570036
Executor: Task-Tracker
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570036
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
-- ensure EXPLAIN EXECUTE doesn't crash
PREPARE task_tracker_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE task_tracker_query;
Distributed Query into pg_merge_job_570037
Executor: Task-Tracker
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570037
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
SET citus.task_executor_type TO 'real-time';
PREPARE router_executor_query AS SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
EXPLAIN EXECUTE router_executor_query;
Distributed Query into pg_merge_job_570038
Executor: Router
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
@ -715,22 +654,25 @@ Distributed Query into pg_merge_job_570038
PREPARE real_time_executor_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE real_time_executor_query;
Distributed Query into pg_merge_job_570039
Executor: Real-Time
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570039
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-- EXPLAIN EXECUTE of parametrized prepared statements is broken, but
-- at least make sure to fail without crashing
PREPARE router_executor_query_param(int) AS SELECT l_quantity FROM lineitem WHERE l_orderkey = $1;
EXPLAIN EXECUTE router_executor_query_param(5);
ERROR: could not create distributed plan
DETAIL: Possibly this is caused by the use of parameters in SQL functions, which is not supported in Citus.
HINT: Consider using PLPGSQL functions instead.
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Bitmap Heap Scan on lineitem_290000 lineitem (cost=4.30..13.44 rows=3 width=18)
Recheck Cond: (l_orderkey = 5)
-> Bitmap Index Scan on lineitem_pkey_290000 (cost=0.00..4.30 rows=3 width=0)
Index Cond: (l_orderkey = 5)

772
src/test/regress/expected/multi_explain_0.out
View File

@ -39,81 +39,74 @@ $BODY$ LANGUAGE plpgsql;
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_570000
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Sort
Sort Key: COALESCE((sum((COALESCE((sum(intermediate_column_570000_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_570000_0
-> HashAggregate
Group Key: intermediate_column_570000_0
-> Seq Scan on pg_merge_job_570000
Sort
Sort Key: COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test JSON format
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
[
{
"Executor": "Real-Time",
"Job": {
"Task Count": 8,
"Tasks Shown": "One of 8",
"Tasks": [
"Plan": {
"Node Type": "Sort",
"Sort Key": ["COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "l_quantity"],
"Plans": [
{
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Group Key": ["l_quantity"],
"Plans": [
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Parent Relationship": "Outer",
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Real-Time",
"Distributed Query": {
"Job": {
"Task Count": 8,
"Tasks Shown": "One of 8",
"Tasks": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "lineitem_290001",
"Alias": "lineitem"
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "lineitem_290001",
"Alias": "lineitem"
}
]
}
}
]
]
}
]
}
}
]
]
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Sort",
"Sort Key": ["COALESCE((sum((COALESCE((sum(intermediate_column_570001_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "intermediate_column_570001_0"],
"Plans": [
{
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Parent Relationship": "Outer",
"Group Key": ["intermediate_column_570001_0"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "pg_merge_job_570001",
"Alias": "pg_merge_job_570001"
}
]
}
]
}
}
]
]
}
}
]
-- Validate JSON format
@ -126,68 +119,64 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Real-Time</Executor>
<Job>
<Task-Count>8</Task-Count>
<Tasks-Shown>One of 8</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>lineitem_290001</Relation-Name>
<Alias>lineitem</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Sort</Node-Type>
<Sort-Key>
<Item>COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>l_quantity</Item>
</Sort-Key>
<Plans>
<Plan>
<Node-Type>Sort</Node-Type>
<Sort-Key>
<Item>COALESCE((sum((COALESCE((sum(intermediate_column_570003_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>intermediate_column_570003_0</Item>
</Sort-Key>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Parent-Relationship>Outer</Parent-Relationship>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Group-Key>
<Item>intermediate_column_570003_0</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>pg_merge_job_570003</Relation-Name>
<Alias>pg_merge_job_570003</Alias>
</Plan>
</Plans>
<Custom-Plan-Provider>Citus Real-Time</Custom-Plan-Provider>
<Distributed-Query>
<Job>
<Task-Count>8</Task-Count>
<Tasks-Shown>One of 8</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>lineitem_290001</Relation-Name>
<Alias>lineitem</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
-- Validate XML format
SELECT true AS valid FROM explain_xml($$
@ -198,108 +187,96 @@ t
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
- Executor: "Real-Time"
Job:
Task Count: 8
Tasks Shown: "One of 8"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "lineitem_290001"
Alias: "lineitem"
Master Query:
- Plan:
Node Type: "Sort"
Sort Key:
- "COALESCE((sum((COALESCE((sum(intermediate_column_570005_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "intermediate_column_570005_0"
- Plan:
Node Type: "Sort"
Sort Key:
- "COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Parent Relationship: "Outer"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Group Key:
- "intermediate_column_570005_0"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "pg_merge_job_570005"
Alias: "pg_merge_job_570005"
Custom Plan Provider: "Citus Real-Time"
Distributed Query:
Job:
Task Count: 8
Tasks Shown: "One of 8"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "lineitem_290001"
Alias: "lineitem"
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_570006
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Sort
Sort Key: COALESCE((sum((COALESCE((sum(intermediate_column_570006_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_570006_0
-> HashAggregate
Group Key: intermediate_column_570006_0
-> Seq Scan on pg_merge_job_570006
Sort
Sort Key: COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_290001 lineitem
-- Test verbose
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem;
Distributed Query into pg_merge_job_570007
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_570007_0) / (sum(intermediate_column_570007_1) / sum(intermediate_column_570007_2)))
-> Seq Scan on pg_temp_2.pg_merge_job_570007
Output: intermediate_column_570007_0, intermediate_column_570007_1, intermediate_column_570007_2
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / sum("?column?_2")))
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2"
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test join
EXPLAIN (COSTS FALSE)
SELECT * FROM lineitem
JOIN orders ON l_orderkey = o_orderkey AND l_quantity < 5.0
ORDER BY l_quantity LIMIT 10;
Distributed Query into pg_merge_job_570008
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem.l_quantity
-> Hash Join
Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_290008 orders
Master Query
-> Limit
-> Sort
Sort Key: intermediate_column_570008_4
-> Seq Scan on pg_merge_job_570008
Limit
-> Sort
Sort Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem.l_quantity
-> Hash Join
Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
-> Seq Scan on lineitem_290001 lineitem
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_290008 orders
-- Test insert
EXPLAIN (COSTS FALSE)
INSERT INTO lineitem VALUES(1,0);
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -311,8 +288,7 @@ EXPLAIN (COSTS FALSE)
UPDATE lineitem
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -327,8 +303,7 @@ Distributed Query
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -342,8 +317,7 @@ Distributed Query
-- Test single-shard SELECT
EXPLAIN (COSTS FALSE)
SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
Distributed Query into pg_merge_job_570009
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -362,89 +336,77 @@ t
EXPLAIN (COSTS FALSE)
CREATE TABLE explain_result AS
SELECT * FROM lineitem;
Distributed Query into pg_merge_job_570012
Executor: Real-Time
Custom Scan (Citus Real-Time)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Seq Scan on pg_merge_job_570012
-- Test having
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem
HAVING sum(l_quantity) > 100;
Distributed Query into pg_merge_job_570013
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity), sum(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_570013_0) / (sum(intermediate_column_570013_1) / sum(intermediate_column_570013_2)))
Filter: (sum(pg_merge_job_570013.intermediate_column_570013_3) > '100'::numeric)
-> Seq Scan on pg_temp_2.pg_merge_job_570013
Output: intermediate_column_570013_0, intermediate_column_570013_1, intermediate_column_570013_2, intermediate_column_570013_3
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / sum("?column?_2")))
Filter: (sum(remote_scan.worker_column_4) > '100'::numeric)
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2", worker_column_4
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity), sum(l_quantity)
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test having without aggregate
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT l_quantity FROM lineitem
GROUP BY l_quantity
HAVING l_quantity > (100 * random());
Distributed Query into pg_merge_job_570014
Executor: Real-Time
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_quantity, l_quantity
Group Key: lineitem.l_quantity
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> HashAggregate
Output: intermediate_column_570014_0
Group Key: pg_merge_job_570014.intermediate_column_570014_0
Filter: ((pg_merge_job_570014.intermediate_column_570014_1)::double precision > ('100'::double precision * random()))
-> Seq Scan on pg_temp_2.pg_merge_job_570014
Output: intermediate_column_570014_0, intermediate_column_570014_1
HashAggregate
Output: l_quantity
Group Key: remote_scan.l_quantity
Filter: ((remote_scan.worker_column_2)::double precision > ('100'::double precision * random()))
-> Custom Scan (Citus Real-Time)
Output: l_quantity, worker_column_2
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Output: l_quantity, l_quantity
Group Key: lineitem.l_quantity
-> Seq Scan on public.lineitem_290001 lineitem
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test all tasks output
SET citus.explain_all_tasks TO on;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_570015
Executor: Real-Time
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290004 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290007 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290006 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570015
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290004 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290007 lineitem
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290006 lineitem
Filter: (l_orderkey > 9030)
SELECT true AS valid FROM explain_xml($$
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030$$);
t
@ -456,18 +418,15 @@ SET citus.task_executor_type TO 'task-tracker';
SET citus.explain_all_tasks TO off;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_570018
Executor: Task-Tracker
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570018
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-- Test re-partition join
SET citus.large_table_shard_count TO 1;
EXPLAIN (COSTS FALSE)
@ -476,19 +435,16 @@ EXPLAIN (COSTS FALSE)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
Distributed Query into pg_merge_job_570021
Executor: Task-Tracker
Task Count: 1
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 1
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 1
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 8
Map Task Count: 1
Merge Task Count: 1
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570021
-> MapMergeJob
Map Task Count: 8
Merge Task Count: 1
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT count(*)
FROM lineitem, orders, customer, supplier_single_shard
@ -497,39 +453,35 @@ EXPLAIN (COSTS FALSE, FORMAT JSON)
AND l_suppkey = s_suppkey;
[
{
"Executor": "Task-Tracker",
"Job": {
"Task Count": 1,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Plans": [
{
"Map Task Count": 1,
"Merge Task Count": 1,
"Depended Jobs": [
{
"Map Task Count": 8,
"Merge Task Count": 1
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Task-Tracker",
"Distributed Query": {
"Job": {
"Task Count": 1,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
{
"Map Task Count": 1,
"Merge Task Count": 1,
"Depended Jobs": [
{
"Map Task Count": 8,
"Merge Task Count": 1
}
]
}
]
}
]
}
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "pg_merge_job_570024",
"Alias": "pg_merge_job_570024"
}
]
}
}
]
}
}
]
SELECT true AS valid FROM explain_json($$
@ -546,41 +498,37 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Task-Tracker</Executor>
<Job>
<Task-Count>1</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>8</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
</Depended-Jobs>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>pg_merge_job_570030</Relation-Name>
<Alias>pg_merge_job_570030</Alias>
</Plan>
</Plans>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Task-Tracker</Custom-Plan-Provider>
<Distributed-Query>
<Job>
<Task-Count>1</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>8</Map-Task-Count>
<Merge-Task-Count>1</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
</Depended-Jobs>
</Job>
</Distributed-Query>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
@ -608,25 +556,23 @@ EXPLAIN (COSTS FALSE, FORMAT YAML)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
- Executor: "Task-Tracker"
Job:
Task Count: 1
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 1
Merge Task Count: 1
Depended Jobs:
- Map Task Count: 8
Merge Task Count: 1
Master Query:
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "pg_merge_job_570035"
Alias: "pg_merge_job_570035"
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Task-Tracker"
Distributed Query:
Job:
Task Count: 1
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 1
Merge Task Count: 1
Depended Jobs:
- Map Task Count: 8
Merge Task Count: 1
-- test parallel aggregates
SET parallel_setup_cost=0;
ERROR: unrecognized configuration parameter "parallel_setup_cost"
@ -643,38 +589,31 @@ Aggregate
-> Seq Scan on lineitem_clone
-- ensure distributed plans don't break
EXPLAIN (COSTS FALSE) SELECT avg(l_linenumber) FROM lineitem;
Distributed Query into pg_merge_job_570036
Executor: Task-Tracker
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570036
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 8
Tasks Shown: One of 8
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290001 lineitem
-- ensure EXPLAIN EXECUTE doesn't crash
PREPARE task_tracker_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE task_tracker_query;
Distributed Query into pg_merge_job_570037
Executor: Task-Tracker
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570037
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
SET citus.task_executor_type TO 'real-time';
PREPARE router_executor_query AS SELECT l_quantity FROM lineitem WHERE l_orderkey = 5;
EXPLAIN EXECUTE router_executor_query;
Distributed Query into pg_merge_job_570038
Executor: Router
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
@ -686,22 +625,25 @@ Distributed Query into pg_merge_job_570038
PREPARE real_time_executor_query AS
SELECT avg(l_linenumber) FROM lineitem WHERE l_orderkey > 9030;
EXPLAIN (COSTS FALSE) EXECUTE real_time_executor_query;
Distributed Query into pg_merge_job_570039
Executor: Real-Time
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_570039
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 4
Tasks Shown: One of 4
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_290005 lineitem
Filter: (l_orderkey > 9030)
-- EXPLAIN EXECUTE of parametrized prepared statements is broken, but
-- at least make sure to fail without crashing
PREPARE router_executor_query_param(int) AS SELECT l_quantity FROM lineitem WHERE l_orderkey = $1;
EXPLAIN EXECUTE router_executor_query_param(5);
ERROR: could not create distributed plan
DETAIL: Possibly this is caused by the use of parameters in SQL functions, which is not supported in Citus.
HINT: Consider using PLPGSQL functions instead.
Custom Scan (Citus Router) (cost=0.00..0.00 rows=0 width=0)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Bitmap Heap Scan on lineitem_290000 lineitem (cost=4.30..13.44 rows=3 width=18)
Recheck Cond: (l_orderkey = 5)
-> Bitmap Index Scan on lineitem_pkey_290000 (cost=0.00..4.30 rows=3 width=0)
Index Cond: (l_orderkey = 5)

80
src/test/regress/expected/multi_join_order_additional.out
View File

@ -6,6 +6,7 @@ ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 650000;
-- Set configuration to print table join order and pruned shards
SET citus.explain_distributed_queries TO off;
SET citus.log_multi_join_order TO TRUE;
SET citus.task_executor_type = 'task-tracker'; -- can't explain all queries otherwise
SET client_min_messages TO DEBUG2;
-- Create new table definitions for use in testing in distributed planning and
-- execution functionality. Also create indexes to boost performance.
@ -139,10 +140,11 @@ DEBUG: join prunable for intervals [13473,14947] and [2951,4455]
DEBUG: join prunable for intervals [13473,14947] and [4480,5986]
DEBUG: join prunable for intervals [13473,14947] and [8997,10560]
DEBUG: join prunable for intervals [13473,14947] and [10560,12036]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------
Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(2 rows)
-- Update configuration to treat lineitem and orders tables as large
SET citus.large_table_shard_count TO 2;
@ -154,10 +156,12 @@ EXPLAIN SELECT count(*) FROM lineitem, orders
WHERE (l_orderkey = o_orderkey AND l_quantity > 5)
OR (l_orderkey = o_orderkey AND l_quantity < 10);
LOG: join order: [ "lineitem" ][ local partition join "orders" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT l_quantity FROM lineitem, orders
WHERE (l_orderkey = o_orderkey OR l_quantity > 5);
@ -173,28 +177,34 @@ BEGIN;
EXPLAIN SELECT count(*) FROM orders, lineitem_hash
WHERE o_orderkey = l_orderkey;
LOG: join order: [ "orders" ][ single partition join "lineitem_hash" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Verify we handle local joins between two hash-partitioned tables.
EXPLAIN SELECT count(*) FROM orders_hash, lineitem_hash
WHERE o_orderkey = l_orderkey;
LOG: join order: [ "orders_hash" ][ local partition join "lineitem_hash" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Validate that we can handle broadcast joins with hash-partitioned tables.
EXPLAIN SELECT count(*) FROM customer_hash, nation
WHERE c_nationkey = n_nationkey;
LOG: join order: [ "customer_hash" ][ broadcast join "nation" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Update the large table shard count for all the following tests.
SET citus.large_table_shard_count TO 1;
@ -203,30 +213,36 @@ SET citus.large_table_shard_count TO 1;
EXPLAIN SELECT count(*) FROM orders, lineitem, customer
WHERE o_custkey = l_partkey AND o_custkey = c_nationkey;
LOG: join order: [ "orders" ][ dual partition join "lineitem" ][ dual partition join "customer" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Validate that we don't chose a single-partition join method with a
-- hash-partitioned base table
EXPLAIN SELECT count(*) FROM orders, customer_hash
WHERE c_custkey = o_custkey;
LOG: join order: [ "orders" ][ dual partition join "customer_hash" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Validate that we can re-partition a hash partitioned table to join with a
-- range partitioned one.
EXPLAIN SELECT count(*) FROM orders_hash, customer
WHERE c_custkey = o_custkey;
LOG: join order: [ "orders_hash" ][ single partition join "customer" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
COMMIT;
-- Reset client logging level to its previous value

58
src/test/regress/expected/multi_join_order_tpch_large.out
View File

@ -6,6 +6,7 @@ ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 660000;
-- Enable configuration to print table join order
SET citus.explain_distributed_queries TO off;
SET citus.log_multi_join_order TO TRUE;
SET citus.task_executor_type = 'task-tracker'; -- can't explain all queries otherwise
SET client_min_messages TO LOG;
-- Change configuration to treat lineitem, orders, customer, and part tables as
-- large. The following queries are basically the same as the ones in tpch_small
@ -23,10 +24,12 @@ WHERE
and l_discount between 0.06 - 0.01 and 0.06 + 0.01
and l_quantity < 24;
LOG: join order: [ "lineitem" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Query #3 from the TPC-H decision support benchmark
EXPLAIN SELECT
@ -52,10 +55,15 @@ ORDER BY
revenue DESC,
o_orderdate;
LOG: join order: [ "orders" ][ local partition join "lineitem" ][ single partition join "customer" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: sum((sum(revenue))) DESC, o_orderdate
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: l_orderkey, o_orderdate, o_shippriority
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(6 rows)
-- Query #10 from the TPC-H decision support benchmark
EXPLAIN SELECT
@ -90,10 +98,15 @@ GROUP BY
ORDER BY
revenue DESC;
LOG: join order: [ "orders" ][ local partition join "lineitem" ][ single partition join "customer" ][ broadcast join "nation" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
----------------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: sum((sum(revenue))) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(6 rows)
-- Query #19 from the TPC-H decision support benchmark (modified)
EXPLAIN SELECT
@ -126,10 +139,12 @@ WHERE
AND l_shipinstruct = 'DELIVER IN PERSON'
);
LOG: join order: [ "lineitem" ][ single partition join "part" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Query to test multiple re-partition jobs in a single query
EXPLAIN SELECT
@ -143,10 +158,13 @@ WHERE
GROUP BY
l_partkey;
LOG: join order: [ "lineitem" ][ local partition join "orders" ][ single partition join "part" ][ single partition join "customer" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
--------------------------------------------------------------------------
HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: l_partkey
-> Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(4 rows)
-- Reset client logging level to its previous value
SET client_min_messages TO NOTICE;

46
src/test/regress/expected/multi_join_order_tpch_small.out
View File

@ -18,10 +18,12 @@ WHERE
and l_discount between 0.06 - 0.01 and 0.06 + 0.01
and l_quantity < 24;
LOG: join order: [ "lineitem" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Query #3 from the TPC-H decision support benchmark
EXPLAIN SELECT
@ -47,10 +49,15 @@ ORDER BY
revenue DESC,
o_orderdate;
LOG: join order: [ "orders" ][ broadcast join "customer" ][ local partition join "lineitem" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: sum((sum(revenue))) DESC, o_orderdate
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: l_orderkey, o_orderdate, o_shippriority
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(6 rows)
-- Query #10 from the TPC-H decision support benchmark
EXPLAIN SELECT
@ -85,10 +92,15 @@ GROUP BY
ORDER BY
revenue DESC;
LOG: join order: [ "orders" ][ broadcast join "customer" ][ broadcast join "nation" ][ local partition join "lineitem" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
----------------------------------------------------------------------------------------
Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: sum((sum(revenue))) DESC
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: c_custkey, c_name, c_acctbal, c_phone, n_name, c_address, c_comment
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(6 rows)
-- Query #19 from the TPC-H decision support benchmark (modified)
EXPLAIN SELECT
@ -121,10 +133,12 @@ WHERE
AND l_shipinstruct = 'DELIVER IN PERSON'
);
LOG: join order: [ "lineitem" ][ broadcast join "part" ]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Reset client logging level to its previous value
SET client_min_messages TO NOTICE;

30
src/test/regress/expected/multi_join_pruning.out
View File

@ -100,20 +100,24 @@ EXPLAIN SELECT count(*)
WHERE table1.array_column = table2.array_column;
DEBUG: join prunable for intervals [{},{AZZXSP27F21T6,AZZXSP27F21T6}] and [{BA1000U2AMO4ZGX,BZZXSP27F21T6},{CA1000U2AMO4ZGX,CZZXSP27F21T6}]
DEBUG: join prunable for intervals [{BA1000U2AMO4ZGX,BZZXSP27F21T6},{CA1000U2AMO4ZGX,CZZXSP27F21T6}] and [{},{AZZXSP27F21T6,AZZXSP27F21T6}]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*)
FROM composite_partitioned_table table1, composite_partitioned_table table2
WHERE table1.composite_column = table2.composite_column;
DEBUG: join prunable for intervals [(a,3,b),(b,4,c)] and [(c,5,d),(d,6,e)]
DEBUG: join prunable for intervals [(c,5,d),(d,6,e)] and [(a,3,b),(b,4,c)]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Test that large table joins on partition varchar columns work
EXPLAIN SELECT count(*)
@ -121,8 +125,10 @@ EXPLAIN SELECT count(*)
WHERE table1.varchar_column = table2.varchar_column;
DEBUG: join prunable for intervals [AA1000U2AMO4ZGX,AZZXSP27F21T6] and [BA1000U2AMO4ZGX,BZZXSP27F21T6]
DEBUG: join prunable for intervals [BA1000U2AMO4ZGX,BZZXSP27F21T6] and [AA1000U2AMO4ZGX,AZZXSP27F21T6]
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)

848
src/test/regress/expected/multi_mx_explain.out
View File

@ -61,88 +61,81 @@ $BODY$ LANGUAGE plpgsql;
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_68720796736
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_68720796736_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_68720796736_0
-> HashAggregate
Group Key: intermediate_column_68720796736_0
-> Seq Scan on pg_merge_job_68720796736
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
-- Test JSON format
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
[
{
"Executor": "Real-Time",
"Job": {
"Task Count": 16,
"Tasks Shown": "One of 16",
"Tasks": [
"Plan": {
"Node Type": "Sort",
"Parallel Aware": false,
"Sort Key": ["COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "l_quantity"],
"Plans": [
{
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Real-Time",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 16,
"Tasks Shown": "One of 16",
"Tasks": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "lineitem_mx_1220052",
"Alias": "lineitem_mx"
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "lineitem_mx_1220052",
"Alias": "lineitem_mx"
}
]
}
}
]
]
}
]
}
}
]
]
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Sort",
"Parallel Aware": false,
"Sort Key": ["COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_68720796737_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "intermediate_column_68720796737_0"],
"Plans": [
{
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Partial Mode": "Simple",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Group Key": ["intermediate_column_68720796737_0"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "pg_merge_job_68720796737",
"Alias": "pg_merge_job_68720796737"
}
]
}
]
}
}
]
]
}
}
]
-- Validate JSON format
@ -156,75 +149,71 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Real-Time</Executor>
<Job>
<Task-Count>16</Task-Count>
<Tasks-Shown>One of 16</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>lineitem_mx_1220052</Relation-Name>
<Alias>lineitem_mx</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Sort</Node-Type>
<Parallel-Aware>false</Parallel-Aware>
<Sort-Key>
<Item>COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>l_quantity</Item>
</Sort-Key>
<Plans>
<Plan>
<Node-Type>Sort</Node-Type>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Sort-Key>
<Item>COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_60130862144_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>intermediate_column_60130862144_0</Item>
</Sort-Key>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Real-Time</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>intermediate_column_60130862144_0</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>pg_merge_job_60130862144</Relation-Name>
<Alias>pg_merge_job_60130862144</Alias>
</Plan>
</Plans>
<Distributed-Query>
<Job>
<Task-Count>16</Task-Count>
<Tasks-Shown>One of 16</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>lineitem_mx_1220052</Relation-Name>
<Alias>lineitem_mx</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
-- Validate XML format
SELECT true AS valid FROM explain_xml($$
@ -235,116 +224,104 @@ t
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
- Executor: "Real-Time"
Job:
Task Count: 16
Tasks Shown: "One of 16"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parallel Aware: false
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "lineitem_mx_1220052"
Alias: "lineitem_mx"
Master Query:
- Plan:
Node Type: "Sort"
- Plan:
Node Type: "Sort"
Parallel Aware: false
Sort Key:
- "COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parent Relationship: "Outer"
Parallel Aware: false
Sort Key:
- "COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_60130862146_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "intermediate_column_60130862146_0"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Real-Time"
Parallel Aware: false
Group Key:
- "intermediate_column_60130862146_0"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "pg_merge_job_60130862146"
Alias: "pg_merge_job_60130862146"
Distributed Query:
Job:
Task Count: 16
Tasks Shown: "One of 16"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Partial Mode: "Simple"
Parallel Aware: false
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "lineitem_mx_1220052"
Alias: "lineitem_mx"
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_60130862147
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(intermediate_column_60130862147_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_60130862147_0
-> HashAggregate
Group Key: intermediate_column_60130862147_0
-> Seq Scan on pg_merge_job_60130862147
Sort
Sort Key: COALESCE((pg_catalog.sum((COALESCE((pg_catalog.sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
\c - - - :worker_2_port
-- Test verbose
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem_mx;
Distributed Query into pg_merge_job_68720796739
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_mx_1220052 lineitem_mx
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_68720796739_0) / (sum(intermediate_column_68720796739_1) / pg_catalog.sum(intermediate_column_68720796739_2)))
-> Seq Scan on pg_temp_2.pg_merge_job_68720796739
Output: intermediate_column_68720796739_0, intermediate_column_68720796739_1, intermediate_column_68720796739_2
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / pg_catalog.sum("?column?_2")))
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2"
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_mx_1220052 lineitem_mx
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test join
EXPLAIN (COSTS FALSE)
SELECT * FROM lineitem_mx
JOIN orders_mx ON l_orderkey = o_orderkey AND l_quantity < 5.0
ORDER BY l_quantity LIMIT 10;
Distributed Query into pg_merge_job_68720796740
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem_mx.l_quantity
-> Hash Join
Hash Cond: (lineitem_mx.l_orderkey = orders_mx.o_orderkey)
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_mx_1220068 orders_mx
Master Query
-> Limit
-> Sort
Sort Key: intermediate_column_68720796740_4
-> Seq Scan on pg_merge_job_68720796740
Limit
-> Sort
Sort Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem_mx.l_quantity
-> Hash Join
Hash Cond: (lineitem_mx.l_orderkey = orders_mx.o_orderkey)
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_mx_1220068 orders_mx
-- Test insert
EXPLAIN (COSTS FALSE)
INSERT INTO lineitem_mx VALUES(1,0);
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -356,8 +333,7 @@ EXPLAIN (COSTS FALSE)
UPDATE lineitem_mx
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -370,8 +346,7 @@ Distributed Query
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem_mx
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -383,8 +358,7 @@ Distributed Query
-- Test single-shard SELECT
EXPLAIN (COSTS FALSE)
SELECT l_quantity FROM lineitem_mx WHERE l_orderkey = 5;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -403,106 +377,100 @@ t
EXPLAIN (COSTS FALSE)
CREATE TABLE explain_result AS
SELECT * FROM lineitem_mx;
Distributed Query into pg_merge_job_68720796741
Executor: Real-Time
Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Seq Scan on pg_merge_job_68720796741
-- Test all tasks output
SET citus.explain_all_tasks TO on;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_68720796742
Executor: Real-Time
Task Count: 16
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220053 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220054 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220055 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220056 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220057 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220058 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220059 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220060 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220061 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220062 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220063 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220064 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220065 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220066 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220067 lineitem_mx
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796742
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220053 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220054 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220055 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220056 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220057 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220058 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220059 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220060 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220061 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220062 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220063 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220064 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220065 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220066 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220067 lineitem_mx
Filter: (l_orderkey > 9030)
SELECT true AS valid FROM explain_xml($$
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030$$);
t
@ -514,18 +482,15 @@ SET citus.task_executor_type TO 'task-tracker';
SET citus.explain_all_tasks TO off;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_68720796745
Executor: Task-Tracker
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796745
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-- Test re-partition join
SET citus.large_table_shard_count TO 1;
EXPLAIN (COSTS FALSE)
@ -534,25 +499,22 @@ EXPLAIN (COSTS FALSE)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
Distributed Query into pg_merge_job_68720796750
Executor: Task-Tracker
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 4
Merge Task Count: 4
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 16
Map Task Count: 4
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 16
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796750
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT count(*)
FROM lineitem_mx, orders_mx, customer_mx, supplier_mx
@ -561,50 +523,46 @@ EXPLAIN (COSTS FALSE, FORMAT JSON)
AND l_suppkey = s_suppkey;
[
{
"Executor": "Task-Tracker",
"Job": {
"Task Count": 4,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Plans": [
{
"Map Task Count": 4,
"Merge Task Count": 4,
"Depended Jobs": [
{
"Map Task Count": 16,
"Merge Task Count": 4
},
{
"Map Task Count": 1,
"Merge Task Count": 4
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Task-Tracker",
"Parallel Aware": false,
"Distributed Query": {
"Job": {
"Task Count": 4,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
{
"Map Task Count": 4,
"Merge Task Count": 4,
"Depended Jobs": [
{
"Map Task Count": 16,
"Merge Task Count": 4
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
]
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
]
}
]
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Partial Mode": "Simple",
"Parallel Aware": false,
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Parallel Aware": false,
"Relation Name": "pg_merge_job_68720796755",
"Alias": "pg_merge_job_68720796755"
}
]
}
}
]
}
}
]
SELECT true AS valid FROM explain_json($$
@ -621,52 +579,48 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Task-Tracker</Executor>
<Job>
<Task-Count>4</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>4</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>16</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Parallel-Aware>false</Parallel-Aware>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Partial-Mode>Simple</Partial-Mode>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Task-Tracker</Custom-Plan-Provider>
<Parallel-Aware>false</Parallel-Aware>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Parallel-Aware>false</Parallel-Aware>
<Relation-Name>pg_merge_job_68720796765</Relation-Name>
<Alias>pg_merge_job_68720796765</Alias>
</Plan>
</Plans>
<Distributed-Query>
<Job>
<Task-Count>4</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>4</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>16</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</Job>
</Distributed-Query>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
@ -681,29 +635,27 @@ EXPLAIN (COSTS FALSE, FORMAT YAML)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
- Executor: "Task-Tracker"
Job:
Task Count: 4
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 4
Merge Task Count: 4
Depended Jobs:
- Map Task Count: 16
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
Master Query:
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Partial Mode: "Simple"
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Partial Mode: "Simple"
Parallel Aware: false
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Task-Tracker"
Parallel Aware: false
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Parallel Aware: false
Relation Name: "pg_merge_job_68720796775"
Alias: "pg_merge_job_68720796775"
Distributed Query:
Job:
Task Count: 4
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 4
Merge Task Count: 4
Depended Jobs:
- Map Task Count: 16
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4

800
src/test/regress/expected/multi_mx_explain_0.out
View File

@ -61,81 +61,74 @@ $BODY$ LANGUAGE plpgsql;
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_68720796736
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Sort
Sort Key: COALESCE((sum((COALESCE((sum(intermediate_column_68720796736_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_68720796736_0
-> HashAggregate
Group Key: intermediate_column_68720796736_0
-> Seq Scan on pg_merge_job_68720796736
Sort
Sort Key: COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
-- Test JSON format
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
[
{
"Executor": "Real-Time",
"Job": {
"Task Count": 16,
"Tasks Shown": "One of 16",
"Tasks": [
"Plan": {
"Node Type": "Sort",
"Sort Key": ["COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "l_quantity"],
"Plans": [
{
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Group Key": ["l_quantity"],
"Plans": [
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Parent Relationship": "Outer",
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Real-Time",
"Distributed Query": {
"Job": {
"Task Count": 16,
"Tasks Shown": "One of 16",
"Tasks": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "lineitem_mx_1220052",
"Alias": "lineitem_mx"
"Node": "host=localhost port=57637 dbname=regression",
"Remote Plan": [
[
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Group Key": ["l_quantity"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "lineitem_mx_1220052",
"Alias": "lineitem_mx"
}
]
}
}
]
]
}
]
}
}
]
]
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Sort",
"Sort Key": ["COALESCE((sum((COALESCE((sum(intermediate_column_68720796737_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)", "intermediate_column_68720796737_0"],
"Plans": [
{
"Node Type": "Aggregate",
"Strategy": "Hashed",
"Parent Relationship": "Outer",
"Group Key": ["intermediate_column_68720796737_0"],
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "pg_merge_job_68720796737",
"Alias": "pg_merge_job_68720796737"
}
]
}
]
}
}
]
]
}
}
]
-- Validate JSON format
@ -149,68 +142,64 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Real-Time</Executor>
<Job>
<Task-Count>16</Task-Count>
<Tasks-Shown>One of 16</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>lineitem_mx_1220052</Relation-Name>
<Alias>lineitem_mx</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Sort</Node-Type>
<Sort-Key>
<Item>COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>l_quantity</Item>
</Sort-Key>
<Plans>
<Plan>
<Node-Type>Sort</Node-Type>
<Sort-Key>
<Item>COALESCE((sum((COALESCE((sum(intermediate_column_60130862144_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)</Item>
<Item>intermediate_column_60130862144_0</Item>
</Sort-Key>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Parent-Relationship>Outer</Parent-Relationship>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Group-Key>
<Item>intermediate_column_60130862144_0</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>pg_merge_job_60130862144</Relation-Name>
<Alias>pg_merge_job_60130862144</Alias>
</Plan>
</Plans>
<Custom-Plan-Provider>Citus Real-Time</Custom-Plan-Provider>
<Distributed-Query>
<Job>
<Task-Count>16</Task-Count>
<Tasks-Shown>One of 16</Tasks-Shown>
<Tasks>
<Task>
<Node>host=localhost port=57637 dbname=regression</Node>
<Remote-Plan>
<explain xmlns="http://www.postgresql.org/2009/explain">
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Hashed</Strategy>
<Group-Key>
<Item>l_quantity</Item>
</Group-Key>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>lineitem_mx_1220052</Relation-Name>
<Alias>lineitem_mx</Alias>
</Plan>
</Plans>
</Plan>
</Query>
</explain>
</Remote-Plan>
</Task>
</Tasks>
</Job>
</Distributed-Query>
</Plan>
</Plans>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
-- Validate XML format
SELECT true AS valid FROM explain_xml($$
@ -221,109 +210,97 @@ t
EXPLAIN (COSTS FALSE, FORMAT YAML)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
- Executor: "Real-Time"
Job:
Task Count: 16
Tasks Shown: "One of 16"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "lineitem_mx_1220052"
Alias: "lineitem_mx"
Master Query:
- Plan:
Node Type: "Sort"
Sort Key:
- "COALESCE((sum((COALESCE((sum(intermediate_column_60130862146_1))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "intermediate_column_60130862146_0"
- Plan:
Node Type: "Sort"
Sort Key:
- "COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint)"
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
Parent Relationship: "Outer"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Aggregate"
Strategy: "Hashed"
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Group Key:
- "intermediate_column_60130862146_0"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "pg_merge_job_60130862146"
Alias: "pg_merge_job_60130862146"
Custom Plan Provider: "Citus Real-Time"
Distributed Query:
Job:
Task Count: 16
Tasks Shown: "One of 16"
Tasks:
- Node: "host=localhost port=57637 dbname=regression"
Remote Plan:
- Plan:
Node Type: "Aggregate"
Strategy: "Hashed"
Group Key:
- "l_quantity"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "lineitem_mx_1220052"
Alias: "lineitem_mx"
-- Test Text format
EXPLAIN (COSTS FALSE, FORMAT TEXT)
SELECT l_quantity, count(*) count_quantity FROM lineitem_mx
GROUP BY l_quantity ORDER BY count_quantity, l_quantity;
Distributed Query into pg_merge_job_60130862147
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Sort
Sort Key: COALESCE((sum((COALESCE((sum(intermediate_column_60130862147_1))::bigint, '0'::bigint))))::bigint, '0'::bigint), intermediate_column_60130862147_0
-> HashAggregate
Group Key: intermediate_column_60130862147_0
-> Seq Scan on pg_merge_job_60130862147
Sort
Sort Key: COALESCE((sum((COALESCE((sum(count_quantity))::bigint, '0'::bigint))))::bigint, '0'::bigint), l_quantity
-> HashAggregate
Group Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate
Group Key: l_quantity
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
\c - - - :worker_2_port
-- Test verbose
EXPLAIN (COSTS FALSE, VERBOSE TRUE)
SELECT sum(l_quantity) / avg(l_quantity) FROM lineitem_mx;
Distributed Query into pg_merge_job_68720796739
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_mx_1220052 lineitem_mx
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
Master Query
-> Aggregate
Output: (sum(intermediate_column_68720796739_0) / (sum(intermediate_column_68720796739_1) / sum(intermediate_column_68720796739_2)))
-> Seq Scan on pg_temp_2.pg_merge_job_68720796739
Output: intermediate_column_68720796739_0, intermediate_column_68720796739_1, intermediate_column_68720796739_2
Aggregate
Output: (sum("?column?") / (sum("?column?_1") / sum("?column?_2")))
-> Custom Scan (Citus Real-Time)
Output: "?column?", "?column?_1", "?column?_2"
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
Output: sum(l_quantity), sum(l_quantity), count(l_quantity)
-> Seq Scan on public.lineitem_mx_1220052 lineitem_mx
Output: l_orderkey, l_partkey, l_suppkey, l_linenumber, l_quantity, l_extendedprice, l_discount, l_tax, l_returnflag, l_linestatus, l_shipdate, l_commitdate, l_receiptdate, l_shipinstruct, l_shipmode, l_comment
-- Test join
EXPLAIN (COSTS FALSE)
SELECT * FROM lineitem_mx
JOIN orders_mx ON l_orderkey = o_orderkey AND l_quantity < 5.0
ORDER BY l_quantity LIMIT 10;
Distributed Query into pg_merge_job_68720796740
Executor: Real-Time
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem_mx.l_quantity
-> Hash Join
Hash Cond: (lineitem_mx.l_orderkey = orders_mx.o_orderkey)
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_mx_1220068 orders_mx
Master Query
-> Limit
-> Sort
Sort Key: intermediate_column_68720796740_4
-> Seq Scan on pg_merge_job_68720796740
Limit
-> Sort
Sort Key: l_quantity
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit
-> Sort
Sort Key: lineitem_mx.l_quantity
-> Hash Join
Hash Cond: (lineitem_mx.l_orderkey = orders_mx.o_orderkey)
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_quantity < 5.0)
-> Hash
-> Seq Scan on orders_mx_1220068 orders_mx
-- Test insert
EXPLAIN (COSTS FALSE)
INSERT INTO lineitem_mx VALUES(1,0);
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -335,8 +312,7 @@ EXPLAIN (COSTS FALSE)
UPDATE lineitem_mx
SET l_suppkey = 12
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -349,8 +325,7 @@ Distributed Query
EXPLAIN (COSTS FALSE)
DELETE FROM lineitem_mx
WHERE l_orderkey = 1 AND l_partkey = 0;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -362,8 +337,7 @@ Distributed Query
-- Test single-shard SELECT
EXPLAIN (COSTS FALSE)
SELECT l_quantity FROM lineitem_mx WHERE l_orderkey = 5;
Distributed Query
Executor: Router
Custom Scan (Citus Router)
Task Count: 1
Tasks Shown: All
-> Task
@ -382,106 +356,100 @@ t
EXPLAIN (COSTS FALSE)
CREATE TABLE explain_result AS
SELECT * FROM lineitem_mx;
Distributed Query into pg_merge_job_68720796741
Executor: Real-Time
Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Master Query
-> Seq Scan on pg_merge_job_68720796741
-- Test all tasks output
SET citus.explain_all_tasks TO on;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_68720796742
Executor: Real-Time
Task Count: 16
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220053 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220054 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220055 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220056 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220057 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220058 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220059 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220060 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220061 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220062 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220063 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220064 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220065 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220066 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220067 lineitem_mx
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796742
Aggregate
-> Custom Scan (Citus Real-Time)
Task Count: 16
Tasks Shown: All
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220053 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220054 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220055 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220056 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220057 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220058 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220059 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220060 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220061 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220062 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220063 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220064 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220065 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220066 lineitem_mx
Filter: (l_orderkey > 9030)
-> Task
Node: host=localhost port=57638 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220067 lineitem_mx
Filter: (l_orderkey > 9030)
SELECT true AS valid FROM explain_xml($$
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030$$);
t
@ -493,18 +461,15 @@ SET citus.task_executor_type TO 'task-tracker';
SET citus.explain_all_tasks TO off;
EXPLAIN (COSTS FALSE)
SELECT avg(l_linenumber) FROM lineitem_mx WHERE l_orderkey > 9030;
Distributed Query into pg_merge_job_68720796745
Executor: Task-Tracker
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796745
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 16
Tasks Shown: One of 16
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate
-> Seq Scan on lineitem_mx_1220052 lineitem_mx
Filter: (l_orderkey > 9030)
-- Test re-partition join
SET citus.large_table_shard_count TO 1;
EXPLAIN (COSTS FALSE)
@ -513,25 +478,22 @@ EXPLAIN (COSTS FALSE)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
Distributed Query into pg_merge_job_68720796750
Executor: Task-Tracker
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 4
Merge Task Count: 4
Aggregate
-> Custom Scan (Citus Task-Tracker)
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
Map Task Count: 16
Map Task Count: 4
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 16
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
-> MapMergeJob
Map Task Count: 1
Merge Task Count: 4
Master Query
-> Aggregate
-> Seq Scan on pg_merge_job_68720796750
EXPLAIN (COSTS FALSE, FORMAT JSON)
SELECT count(*)
FROM lineitem_mx, orders_mx, customer_mx, supplier_mx
@ -540,47 +502,43 @@ EXPLAIN (COSTS FALSE, FORMAT JSON)
AND l_suppkey = s_suppkey;
[
{
"Executor": "Task-Tracker",
"Job": {
"Task Count": 4,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Plans": [
{
"Map Task Count": 4,
"Merge Task Count": 4,
"Depended Jobs": [
{
"Map Task Count": 16,
"Merge Task Count": 4
},
{
"Map Task Count": 1,
"Merge Task Count": 4
"Node Type": "Custom Scan",
"Parent Relationship": "Outer",
"Custom Plan Provider": "Citus Task-Tracker",
"Distributed Query": {
"Job": {
"Task Count": 4,
"Tasks Shown": "None, not supported for re-partition queries",
"Depended Jobs": [
{
"Map Task Count": 4,
"Merge Task Count": 4,
"Depended Jobs": [
{
"Map Task Count": 16,
"Merge Task Count": 4
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
]
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
]
}
]
},
{
"Map Task Count": 1,
"Merge Task Count": 4
}
}
]
},
"Master Query": [
{
"Plan": {
"Node Type": "Aggregate",
"Strategy": "Plain",
"Plans": [
{
"Node Type": "Seq Scan",
"Parent Relationship": "Outer",
"Relation Name": "pg_merge_job_68720796755",
"Alias": "pg_merge_job_68720796755"
}
]
}
}
]
}
}
]
SELECT true AS valid FROM explain_json($$
@ -597,49 +555,45 @@ EXPLAIN (COSTS FALSE, FORMAT XML)
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
<explain xmlns="http://www.postgresql.org/2009/explain">
<Distributed-Query>
<Executor>Task-Tracker</Executor>
<Job>
<Task-Count>4</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>4</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>16</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</Job>
<Master-Query>
<Query>
<Query>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Plans>
<Plan>
<Node-Type>Aggregate</Node-Type>
<Strategy>Plain</Strategy>
<Plans>
<Plan>
<Node-Type>Seq Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Relation-Name>pg_merge_job_68720796765</Relation-Name>
<Alias>pg_merge_job_68720796765</Alias>
</Plan>
</Plans>
<Node-Type>Custom Scan</Node-Type>
<Parent-Relationship>Outer</Parent-Relationship>
<Custom-Plan-Provider>Citus Task-Tracker</Custom-Plan-Provider>
<Distributed-Query>
<Job>
<Task-Count>4</Task-Count>
<Tasks-Shown>None, not supported for re-partition queries</Tasks-Shown>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>4</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
<Depended-Jobs>
<MapMergeJob>
<Map-Task-Count>16</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</MapMergeJob>
<MapMergeJob>
<Map-Task-Count>1</Map-Task-Count>
<Merge-Task-Count>4</Merge-Task-Count>
</MapMergeJob>
</Depended-Jobs>
</Job>
</Distributed-Query>
</Plan>
</Query>
</Master-Query>
</Distributed-Query>
</Plans>
</Plan>
</Query>
</explain>
SELECT true AS valid FROM explain_xml($$
SELECT count(*)
@ -654,26 +608,24 @@ EXPLAIN (COSTS FALSE, FORMAT YAML)
WHERE l_orderkey = o_orderkey
AND o_custkey = c_custkey
AND l_suppkey = s_suppkey;
- Executor: "Task-Tracker"
Job:
Task Count: 4
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 4
Merge Task Count: 4
Depended Jobs:
- Map Task Count: 16
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
Master Query:
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Plans:
- Node Type: "Seq Scan"
Parent Relationship: "Outer"
Relation Name: "pg_merge_job_68720796775"
Alias: "pg_merge_job_68720796775"
- Plan:
Node Type: "Aggregate"
Strategy: "Plain"
Plans:
- Node Type: "Custom Scan"
Parent Relationship: "Outer"
Custom Plan Provider: "Citus Task-Tracker"
Distributed Query:
Job:
Task Count: 4
Tasks Shown: "None, not supported for re-partition queries"
Depended Jobs:
- Map Task Count: 4
Merge Task Count: 4
Depended Jobs:
- Map Task Count: 16
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4
- Map Task Count: 1
Merge Task Count: 4

6
src/test/regress/expected/multi_mx_reference_table.out
View File

@ -525,6 +525,12 @@ FETCH test_cursor; -- fetch one row after the last
---------+---------+---------+---------
(0 rows)
FETCH BACKWARD test_cursor;
value_1 | value_2 | value_3 | value_4
---------+---------+---------+--------------------------
2 | 2 | 2 | Fri Dec 02 00:00:00 2016
(1 row)
END;
-- table creation queries inside can be router plannable
CREATE TEMP TABLE temp_reference_test as

11
src/test/regress/expected/multi_mx_repartition_udt_prepare.out
View File

@ -173,10 +173,9 @@ EXPLAIN SELECT * FROM repartition_udt JOIN repartition_udt_other
ON repartition_udt.udtcol = repartition_udt_other.udtcol
WHERE repartition_udt.pk > 1;
LOG: join order: [ "repartition_udt" ][ dual partition join "repartition_udt_other" ]
QUERY PLAN
-------------------------------------------------------------------------
Distributed Query into pg_merge_job_535003
Executor: Task-Tracker
QUERY PLAN
--------------------------------------------------------------------
Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
@ -185,9 +184,7 @@ LOG: join order: [ "repartition_udt" ][ dual partition join "repartition_udt_ot
-> MapMergeJob
Map Task Count: 5
Merge Task Count: 4
Master Query
-> Seq Scan on pg_merge_job_535003 (cost=0.00..0.00 rows=0 width=0)
(12 rows)
(9 rows)
SELECT * FROM repartition_udt JOIN repartition_udt_other
ON repartition_udt.udtcol = repartition_udt_other.udtcol

12
src/test/regress/expected/multi_mx_router_planner.out
View File

@ -1312,6 +1312,12 @@ FETCH test_cursor;
11 | 1 | alamo | 1347
(1 row)
FETCH BACKWARD test_cursor;
id | author_id | title | word_count
----+-----------+----------+------------
1 | 1 | arsenous | 9572
(1 row)
END;
-- queries inside copy can be router plannable
COPY (
@ -1454,7 +1460,10 @@ CONTEXT: SQL statement "SELECT ah.id, ah.word_count
WHERE author_id = 1"
PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
DEBUG: Plan is router executable
CONTEXT: PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
CONTEXT: SQL statement "SELECT ah.id, ah.word_count
FROM articles_hash_mx ah
WHERE author_id = 1"
PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
id | word_count
----+------------
1 | 9572
@ -1489,7 +1498,6 @@ NOTICE: cannot use shard pruning with ANY/ALL (array expression)
HINT: Consider rewriting the expression with OR/AND clauses.
NOTICE: cannot use shard pruning with ANY/ALL (array expression)
HINT: Consider rewriting the expression with OR/AND clauses.
ERROR: cannot create temporary table within security-restricted operation
-- router planner/executor is disabled for task-tracker executor
-- following query is router plannable, but router planner is disabled

22
src/test/regress/expected/multi_mx_schema_support.out
View File

@ -37,6 +37,17 @@ FETCH test_cursor;
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+--------+-------------+-----------
(0 rows)
FETCH BACKWARD test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
END;
-- test with search_path is set
SET search_path TO citus_mx_test_schema;
@ -51,6 +62,17 @@ FETCH test_cursor;
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+--------+-------------+-----------
(0 rows)
FETCH BACKWARD test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
END;
-- test inserting to table in different schema
SET search_path TO public;

30
src/test/regress/expected/multi_partition_pruning.out
View File

@ -170,25 +170,31 @@ INSERT INTO pg_dist_shard_placement (shardid, shardstate, shardlength, nodename,
-- one shard.
EXPLAIN SELECT count(*) FROM varchar_partitioned_table WHERE varchar_column = 'BA2';
DEBUG: predicate pruning for shardId 100
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM array_partitioned_table
WHERE array_column > '{BA1000U2AMO4ZGX, BZZXSP27F21T6}';
DEBUG: predicate pruning for shardId 102
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM composite_partitioned_table
WHERE composite_column < '(b,5,c)'::composite_type;
DEBUG: predicate pruning for shardId 105
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
SET client_min_messages TO NOTICE;

120
src/test/regress/expected/multi_query_directory_cleanup.out
View File

@ -76,25 +76,145 @@ SELECT pg_ls_dir('base/pgsql_job_cache');
-- transaction.
BEGIN;
DECLARE c_00 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_00;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_01 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_01;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_02 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_02;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_03 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_03;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_04 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_04;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_05 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_05;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_06 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_06;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_07 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_07;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_08 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_08;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_09 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_09;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_10 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_10;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_11 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_11;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_12 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_12;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_13 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_13;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_14 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_14;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_15 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_15;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_16 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_16;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_17 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_17;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_18 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_18;
revenue
---------------
22770844.7654
(1 row)
DECLARE c_19 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_19;
revenue
---------------
22770844.7654
(1 row)
SELECT * FROM pg_ls_dir('base/pgsql_job_cache') f ORDER BY f;
f
-----------------

6
src/test/regress/expected/multi_reference_table.out
View File

@ -571,6 +571,12 @@ FETCH test_cursor; -- fetch one row after the last
---------+---------+---------+---------
(0 rows)
FETCH BACKWARD test_cursor;
value_1 | value_2 | value_3 | value_4
---------+---------+---------+--------------------------
2 | 2 | 2 | Fri Dec 02 00:00:00 2016
(1 row)
END;
-- table creation queries inside can be router plannable
CREATE TEMP TABLE temp_reference_test as

11
src/test/regress/expected/multi_repartition_udt.out
View File

@ -181,10 +181,9 @@ EXPLAIN SELECT * FROM repartition_udt JOIN repartition_udt_other
ON repartition_udt.udtcol = repartition_udt_other.udtcol
WHERE repartition_udt.pk > 1;
LOG: join order: [ "repartition_udt" ][ dual partition join "repartition_udt_other" ]
QUERY PLAN
-------------------------------------------------------------------------
Distributed Query into pg_merge_job_535003
Executor: Task-Tracker
QUERY PLAN
--------------------------------------------------------------------
Custom Scan (Citus Task-Tracker) (cost=0.00..0.00 rows=0 width=0)
Task Count: 4
Tasks Shown: None, not supported for re-partition queries
-> MapMergeJob
@ -193,9 +192,7 @@ LOG: join order: [ "repartition_udt" ][ dual partition join "repartition_udt_ot
-> MapMergeJob
Map Task Count: 5
Merge Task Count: 4
Master Query
-> Seq Scan on pg_merge_job_535003 (cost=0.00..0.00 rows=0 width=0)
(12 rows)
(9 rows)
SELECT * FROM repartition_udt JOIN repartition_udt_other
ON repartition_udt.udtcol = repartition_udt_other.udtcol

37
src/test/regress/expected/multi_router_planner.out
View File

@ -2057,6 +2057,12 @@ FETCH test_cursor; -- fetch one row after the last
----+-----------+-------+------------
(0 rows)
FETCH BACKWARD test_cursor;
id | author_id | title | word_count
----+-----------+----------+------------
41 | 1 | aznavour | 11814
(1 row)
END;
-- queries inside copy can be router plannable
COPY (
@ -2199,7 +2205,10 @@ CONTEXT: SQL statement "SELECT ah.id, ah.word_count
WHERE author_id = 1"
PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
DEBUG: Plan is router executable
CONTEXT: PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
CONTEXT: SQL statement "SELECT ah.id, ah.word_count
FROM articles_hash ah
WHERE author_id = 1"
PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUERY
id | word_count
----+------------
1 | 9572
@ -2210,12 +2219,12 @@ CONTEXT: PL/pgSQL function author_articles_id_word_count() line 4 at RETURN QUE
(5 rows)
-- materialized views can be created for router plannable queries
CREATE MATERIALIZED VIEW mv_articles_hash AS
CREATE MATERIALIZED VIEW mv_articles_hash_empty AS
SELECT * FROM articles_hash WHERE author_id = 1;
DEBUG: predicate pruning for shardId 840001
DEBUG: Creating router plan
DEBUG: Plan is router executable
SELECT * FROM mv_articles_hash;
SELECT * FROM mv_articles_hash_empty;
id | author_id | title | word_count
----+-----------+--------------+------------
1 | 1 | arsenous | 9572
@ -2225,14 +2234,27 @@ SELECT * FROM mv_articles_hash;
41 | 1 | aznavour | 11814
(5 rows)
CREATE MATERIALIZED VIEW mv_articles_hash_error AS
CREATE MATERIALIZED VIEW mv_articles_hash_data AS
SELECT * FROM articles_hash WHERE author_id in (1,2);
NOTICE: cannot use shard pruning with ANY/ALL (array expression)
HINT: Consider rewriting the expression with OR/AND clauses.
NOTICE: cannot use shard pruning with ANY/ALL (array expression)
HINT: Consider rewriting the expression with OR/AND clauses.
ERROR: cannot create temporary table within security-restricted operation
SELECT * FROM mv_articles_hash_data;
id | author_id | title | word_count
----+-----------+--------------+------------
1 | 1 | arsenous | 9572
11 | 1 | alamo | 1347
21 | 1 | arcading | 5890
31 | 1 | athwartships | 7271
41 | 1 | aznavour | 11814
2 | 2 | abducing | 13642
12 | 2 | archiblast | 18185
22 | 2 | antipope | 2728
32 | 2 | amazon | 11342
42 | 2 | ausable | 15885
(10 rows)
-- router planner/executor is now enabled for task-tracker executor
SET citus.task_executor_type to 'task-tracker';
SELECT id
@ -2346,7 +2368,8 @@ DROP USER router_user;
DROP TABLE failure_test;
DROP FUNCTION author_articles_max_id();
DROP FUNCTION author_articles_id_word_count();
DROP MATERIALIZED VIEW mv_articles_hash;
DROP MATERIALIZED VIEW mv_articles_hash_empty;
DROP MATERIALIZED VIEW mv_articles_hash_data;
DROP TABLE articles_hash;
DROP TABLE articles_single_shard_hash;
DROP TABLE authors_hash;

24
src/test/regress/expected/multi_schema_support.out
View File

@ -155,6 +155,18 @@ FETCH test_cursor;
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH BACKWARD test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
END;
-- test with search_path is set
SET search_path TO test_schema_support;
@ -169,6 +181,18 @@ FETCH test_cursor;
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
FETCH BACKWARD test_cursor;
n_nationkey | n_name | n_regionkey | n_comment
-------------+---------------------------+-------------+------------------------------------------------------------------------------
1 | ARGENTINA | 1 | al foxes promise slyly according to the regular accounts. bold requests alon
(1 row)
END;
-- test inserting to table in different schema
SET search_path TO public;

70
src/test/regress/expected/multi_task_assignment_policy.out
View File

@ -60,10 +60,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: assigned task 4 to node localhost:57637
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM task_assignment_test_table;
DEBUG: StartTransactionCommand
@ -72,10 +74,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: assigned task 4 to node localhost:57637
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Next test the first-replica task assignment policy
SET citus.task_assignment_policy TO 'first-replica';
@ -89,10 +93,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 4 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM task_assignment_test_table;
DEBUG: StartTransactionCommand
@ -101,10 +107,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 4 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
-- Round-robin task assignment relies on the current jobId. We therefore need to
-- ensure that jobIds start with an odd number here; this way, task assignment
@ -132,10 +140,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 4 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM task_assignment_test_table;
DEBUG: StartTransactionCommand
@ -144,10 +154,12 @@ DEBUG: assigned task 6 to node localhost:57638
DEBUG: assigned task 4 to node localhost:57638
DEBUG: assigned task 2 to node localhost:57637
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
EXPLAIN SELECT count(*) FROM task_assignment_test_table;
DEBUG: StartTransactionCommand
@ -156,10 +168,12 @@ DEBUG: assigned task 6 to node localhost:57637
DEBUG: assigned task 4 to node localhost:57637
DEBUG: assigned task 2 to node localhost:57638
DEBUG: CommitTransactionCommand
QUERY PLAN
------------------------------------------------------------
explain statements for distributed queries are not enabled
(1 row)
QUERY PLAN
-----------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
explain statements for distributed queries are not enabled
(3 rows)
RESET citus.task_assignment_policy;
DEBUG: StartTransactionCommand

6
src/test/regress/expected/multi_utility_statements.out
View File

@ -261,6 +261,12 @@ FETCH ABSOLUTE 5 FROM noHoldCursor;
1 | 5 | 24.00 | 0.10
(1 row)
FETCH BACKWARD noHoldCursor;
l_orderkey | l_linenumber | l_quantity | l_discount
------------+--------------+------------+------------
1 | 4 | 28.00 | 0.09
(1 row)
COMMIT;
FETCH ABSOLUTE 5 FROM noHoldCursor;
ERROR: cursor "noholdcursor" does not exist

4
src/test/regress/input/multi_alter_table_statements.source
View File

@ -283,12 +283,12 @@ DROP TABLE ddl_commands;
-- Distributed SELECTs cannot appear after ALTER
BEGIN;
CREATE INDEX temp_index_2 ON lineitem_alter(l_orderkey);
SELECT l_orderkey FROM lineitem_alter LIMIT 0;
SELECT count(*) FROM lineitem_alter;
COMMIT;
-- but are allowed before
BEGIN;
SELECT l_orderkey FROM lineitem_alter LIMIT 0;
SELECT count(*) FROM lineitem_alter;
CREATE INDEX temp_index_2 ON lineitem_alter(l_orderkey);
COMMIT;
SELECT indexname, tablename FROM pg_indexes WHERE tablename = 'lineitem_alter';

6
src/test/regress/multi_task_tracker_extra_schedule
View File

@ -33,11 +33,9 @@ test: multi_agg_distinct multi_limit_clause multi_limit_clause_approximate
test: multi_average_expression multi_working_columns
test: multi_array_agg
test: multi_agg_type_conversion multi_count_type_conversion
test: multi_partition_pruning
test: multi_join_pruning multi_hash_pruning
test: multi_hash_pruning
test: multi_null_minmax_value_pruning
test: multi_query_directory_cleanup
test: multi_task_assignment_policy
test: multi_utility_statements
test: multi_dropped_column_aliases
@ -52,7 +50,7 @@ test: multi_tpch_query7 multi_tpch_query7_nested
# Parallel tests to check our join order planning logic. Note that we load data
# below; and therefore these tests should come after the execution tests.
# ----------
test: multi_join_order_tpch_small multi_join_order_additional
test: multi_join_order_additional
test: multi_load_more_data
test: multi_join_order_tpch_large

11
src/test/regress/output/multi_alter_table_statements.source
View File

@ -596,15 +596,16 @@ BEGIN;
CREATE INDEX temp_index_2 ON lineitem_alter(l_orderkey);
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'
SELECT l_orderkey FROM lineitem_alter LIMIT 0;
SELECT count(*) FROM lineitem_alter;
ERROR: cannot open new connections after the first modification command within a transaction
COMMIT;
-- but are allowed before
BEGIN;
SELECT l_orderkey FROM lineitem_alter LIMIT 0;
l_orderkey
------------
(0 rows)
SELECT count(*) FROM lineitem_alter;
count
-------
18000
(1 row)
CREATE INDEX temp_index_2 ON lineitem_alter(l_orderkey);
COMMIT;

197
src/test/regress/output/multi_subquery.source
View File

@ -764,31 +764,28 @@ FROM
GROUP BY
tenant_id,
user_id) AS subquery;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270014
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate (cost=40.01..40.02 rows=1 width=16)
-> GroupAggregate (cost=39.89..39.99 rows=1 width=48)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Merge Join (cost=39.89..39.97 rows=1 width=540)
Merge Cond: ((((users.composite_id).tenant_id) = ((events.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events.composite_id).user_id)))
-> Sort (cost=28.08..28.09 rows=6 width=32)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Sort (cost=11.81..11.82 rows=3 width=556)
Sort Key: ((events.composite_id).tenant_id), ((events.composite_id).user_id)
-> Seq Scan on events_270009 events (cost=0.00..11.79 rows=3 width=556)
Filter: ((event_type)::text = ANY ('{click,submit,pay}'::text[]))
Master Query
-> Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Seq Scan on pg_merge_job_270014 (cost=0.00..0.00 rows=0 width=0)
(22 rows)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate (cost=40.01..40.02 rows=1 width=16)
-> GroupAggregate (cost=39.89..39.99 rows=1 width=48)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Merge Join (cost=39.89..39.97 rows=1 width=540)
Merge Cond: ((((users.composite_id).tenant_id) = ((events.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events.composite_id).user_id)))
-> Sort (cost=28.08..28.09 rows=6 width=32)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Sort (cost=11.81..11.82 rows=3 width=556)
Sort Key: ((events.composite_id).tenant_id), ((events.composite_id).user_id)
-> Seq Scan on events_270009 events (cost=0.00..11.79 rows=3 width=556)
Filter: ((event_type)::text = ANY ('{click,submit,pay}'::text[]))
(19 rows)
-- Union and left join subquery pushdown
EXPLAIN SELECT
@ -853,52 +850,49 @@ FROM
hasdone) AS subquery_top
GROUP BY
hasdone;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270015
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> GroupAggregate (cost=91.93..91.98 rows=2 width=48)
Group Key: subquery_top.hasdone
-> Sort (cost=91.93..91.93 rows=2 width=64)
Sort Key: subquery_top.hasdone
-> Subquery Scan on subquery_top (cost=91.85..91.92 rows=2 width=64)
-> GroupAggregate (cost=91.85..91.90 rows=2 width=112)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Sort (cost=91.85..91.85 rows=2 width=88)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Merge Left Join (cost=91.75..91.84 rows=2 width=88)
Merge Cond: ((((users.composite_id).tenant_id) = ((events_2.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events_2.composite_id).user_id)))
-> Unique (cost=79.46..79.48 rows=2 width=56)
-> Sort (cost=79.46..79.47 rows=2 width=56)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('action=>1'::text), events.event_time
-> Append (cost=0.00..79.45 rows=2 width=56)
-> Nested Loop (cost=0.00..39.72 rows=1 width=56)
Join Filter: (((users.composite_id).tenant_id = (events.composite_id).tenant_id) AND ((users.composite_id).user_id = (events.composite_id).user_id))
-> Seq Scan on events_270009 events (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'click'::text)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Nested Loop (cost=0.00..39.72 rows=1 width=56)
Join Filter: (((users_1.composite_id).tenant_id = (events_1.composite_id).tenant_id) AND ((users_1.composite_id).user_id = (events_1.composite_id).user_id))
-> Seq Scan on events_270009 events_1 (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'submit'::text)
-> Seq Scan on users_270013 users_1 (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Materialize (cost=12.29..12.31 rows=1 width=48)
-> Unique (cost=12.29..12.30 rows=1 width=80)
-> Sort (cost=12.29..12.29 rows=1 width=80)
Sort Key: ((events_2.composite_id).tenant_id), ((events_2.composite_id).user_id)
-> Seq Scan on events_270009 events_2 (cost=0.00..12.28 rows=1 width=80)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type) AND ((event_type)::text = 'pay'::text))
Master Query
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: intermediate_column_270015_2
-> Seq Scan on pg_merge_job_270015 (cost=0.00..0.00 rows=0 width=0)
(43 rows)
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: hasdone
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> GroupAggregate (cost=91.93..91.98 rows=2 width=48)
Group Key: subquery_top.hasdone
-> Sort (cost=91.93..91.93 rows=2 width=64)
Sort Key: subquery_top.hasdone
-> Subquery Scan on subquery_top (cost=91.85..91.92 rows=2 width=64)
-> GroupAggregate (cost=91.85..91.90 rows=2 width=112)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Sort (cost=91.85..91.85 rows=2 width=88)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Merge Left Join (cost=91.75..91.84 rows=2 width=88)
Merge Cond: ((((users.composite_id).tenant_id) = ((events_2.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events_2.composite_id).user_id)))
-> Unique (cost=79.46..79.48 rows=2 width=56)
-> Sort (cost=79.46..79.47 rows=2 width=56)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('action=>1'::text), events.event_time
-> Append (cost=0.00..79.45 rows=2 width=56)
-> Nested Loop (cost=0.00..39.72 rows=1 width=56)
Join Filter: (((users.composite_id).tenant_id = (events.composite_id).tenant_id) AND ((users.composite_id).user_id = (events.composite_id).user_id))
-> Seq Scan on events_270009 events (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'click'::text)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Nested Loop (cost=0.00..39.72 rows=1 width=56)
Join Filter: (((users_1.composite_id).tenant_id = (events_1.composite_id).tenant_id) AND ((users_1.composite_id).user_id = (events_1.composite_id).user_id))
-> Seq Scan on events_270009 events_1 (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'submit'::text)
-> Seq Scan on users_270013 users_1 (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Materialize (cost=12.29..12.31 rows=1 width=48)
-> Unique (cost=12.29..12.30 rows=1 width=80)
-> Sort (cost=12.29..12.29 rows=1 width=80)
Sort Key: ((events_2.composite_id).tenant_id), ((events_2.composite_id).user_id)
-> Seq Scan on events_270009 events_2 (cost=0.00..12.28 rows=1 width=80)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type) AND ((event_type)::text = 'pay'::text))
(40 rows)
-- Union, left join and having subquery pushdown
EXPLAIN SELECT
@ -1022,37 +1016,34 @@ ORDER BY
user_lastseen DESC
LIMIT
10;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270017
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit (cost=100.43..100.44 rows=6 width=56)
-> Sort (cost=100.43..100.44 rows=6 width=56)
Sort Key: (max(users.lastseen)) DESC
-> GroupAggregate (cost=100.14..100.29 rows=6 width=56)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort (cost=100.14..100.16 rows=6 width=548)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Nested Loop Left Join (cost=40.04..100.06 rows=6 width=548)
-> Limit (cost=28.08..28.09 rows=6 width=24)
-> Sort (cost=28.08..28.09 rows=6 width=24)
Sort Key: users.lastseen DESC
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=24)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Limit (cost=11.96..11.96 rows=1 width=524)
-> Sort (cost=11.96..11.96 rows=1 width=524)
Sort Key: events.event_time DESC
-> Seq Scan on events_270009 events (cost=0.00..11.95 rows=1 width=524)
Filter: (((composite_id).tenant_id = ((users.composite_id).tenant_id)) AND ((composite_id).user_id = ((users.composite_id).user_id)))
Master Query
-> Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: intermediate_column_270017_2 DESC
-> Seq Scan on pg_merge_job_270017 (cost=0.00..0.00 rows=0 width=0)
(29 rows)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: user_lastseen DESC
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit (cost=100.43..100.44 rows=6 width=56)
-> Sort (cost=100.43..100.44 rows=6 width=56)
Sort Key: (max(users.lastseen)) DESC
-> GroupAggregate (cost=100.14..100.29 rows=6 width=56)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort (cost=100.14..100.16 rows=6 width=548)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Nested Loop Left Join (cost=40.04..100.06 rows=6 width=548)
-> Limit (cost=28.08..28.09 rows=6 width=24)
-> Sort (cost=28.08..28.09 rows=6 width=24)
Sort Key: users.lastseen DESC
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=24)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Limit (cost=11.96..11.96 rows=1 width=524)
-> Sort (cost=11.96..11.96 rows=1 width=524)
Sort Key: events.event_time DESC
-> Seq Scan on events_270009 events (cost=0.00..11.95 rows=1 width=524)
Filter: (((composite_id).tenant_id = ((users.composite_id).tenant_id)) AND ((composite_id).user_id = ((users.composite_id).user_id)))
(26 rows)
SET citus.enable_router_execution TO 'true';

191
src/test/regress/output/multi_subquery_0.source
View File

@ -764,31 +764,28 @@ FROM
GROUP BY
tenant_id,
user_id) AS subquery;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270014
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate (cost=40.01..40.02 rows=1 width=32)
-> GroupAggregate (cost=39.89..39.99 rows=1 width=556)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Merge Join (cost=39.89..39.97 rows=1 width=556)
Merge Cond: ((((users.composite_id).tenant_id) = ((events.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events.composite_id).user_id)))
-> Sort (cost=28.08..28.09 rows=6 width=32)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Sort (cost=11.81..11.82 rows=3 width=556)
Sort Key: ((events.composite_id).tenant_id), ((events.composite_id).user_id)
-> Seq Scan on events_270009 events (cost=0.00..11.79 rows=3 width=556)
Filter: ((event_type)::text = ANY ('{click,submit,pay}'::text[]))
Master Query
-> Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Seq Scan on pg_merge_job_270014 (cost=0.00..0.00 rows=0 width=0)
(22 rows)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=0.00..0.00 rows=0 width=0)
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Aggregate (cost=40.01..40.02 rows=1 width=32)
-> GroupAggregate (cost=39.89..39.99 rows=1 width=556)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Merge Join (cost=39.89..39.97 rows=1 width=556)
Merge Cond: ((((users.composite_id).tenant_id) = ((events.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events.composite_id).user_id)))
-> Sort (cost=28.08..28.09 rows=6 width=32)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Sort (cost=11.81..11.82 rows=3 width=556)
Sort Key: ((events.composite_id).tenant_id), ((events.composite_id).user_id)
-> Seq Scan on events_270009 events (cost=0.00..11.79 rows=3 width=556)
Filter: ((event_type)::text = ANY ('{click,submit,pay}'::text[]))
(19 rows)
-- Union and left join subquery pushdown
EXPLAIN SELECT
@ -853,49 +850,46 @@ FROM
hasdone) AS subquery_top
GROUP BY
hasdone;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270015
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate (cost=91.94..91.96 rows=2 width=64)
Group Key: COALESCE(('Has done paying'::text), 'Has not done paying'::text)
-> GroupAggregate (cost=91.85..91.90 rows=2 width=88)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Sort (cost=91.85..91.85 rows=2 width=88)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Merge Left Join (cost=91.75..91.84 rows=2 width=88)
Merge Cond: ((((users.composite_id).tenant_id) = ((events_2.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events_2.composite_id).user_id)))
-> Unique (cost=79.46..79.48 rows=2 width=40)
-> Sort (cost=79.46..79.47 rows=2 width=40)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('action=>1'::text), events.event_time
-> Append (cost=0.00..79.45 rows=2 width=40)
-> Nested Loop (cost=0.00..39.72 rows=1 width=40)
Join Filter: (((users.composite_id).tenant_id = (events.composite_id).tenant_id) AND ((users.composite_id).user_id = (events.composite_id).user_id))
-> Seq Scan on events_270009 events (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'click'::text)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Nested Loop (cost=0.00..39.72 rows=1 width=40)
Join Filter: (((users_1.composite_id).tenant_id = (events_1.composite_id).tenant_id) AND ((users_1.composite_id).user_id = (events_1.composite_id).user_id))
-> Seq Scan on events_270009 events_1 (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'submit'::text)
-> Seq Scan on users_270013 users_1 (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Materialize (cost=12.29..12.31 rows=1 width=48)
-> Unique (cost=12.29..12.30 rows=1 width=32)
-> Sort (cost=12.29..12.29 rows=1 width=32)
Sort Key: ((events_2.composite_id).tenant_id), ((events_2.composite_id).user_id)
-> Seq Scan on events_270009 events_2 (cost=0.00..12.28 rows=1 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type) AND ((event_type)::text = 'pay'::text))
Master Query
-> HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: intermediate_column_270015_2
-> Seq Scan on pg_merge_job_270015 (cost=0.00..0.00 rows=0 width=0)
(40 rows)
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
HashAggregate (cost=0.00..0.00 rows=0 width=0)
Group Key: hasdone
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> HashAggregate (cost=91.94..91.96 rows=2 width=64)
Group Key: COALESCE(('Has done paying'::text), 'Has not done paying'::text)
-> GroupAggregate (cost=91.85..91.90 rows=2 width=88)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Sort (cost=91.85..91.85 rows=2 width=88)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('Has done paying'::text)
-> Merge Left Join (cost=91.75..91.84 rows=2 width=88)
Merge Cond: ((((users.composite_id).tenant_id) = ((events_2.composite_id).tenant_id)) AND (((users.composite_id).user_id) = ((events_2.composite_id).user_id)))
-> Unique (cost=79.46..79.48 rows=2 width=40)
-> Sort (cost=79.46..79.47 rows=2 width=40)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id), ('action=>1'::text), events.event_time
-> Append (cost=0.00..79.45 rows=2 width=40)
-> Nested Loop (cost=0.00..39.72 rows=1 width=40)
Join Filter: (((users.composite_id).tenant_id = (events.composite_id).tenant_id) AND ((users.composite_id).user_id = (events.composite_id).user_id))
-> Seq Scan on events_270009 events (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'click'::text)
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Nested Loop (cost=0.00..39.72 rows=1 width=40)
Join Filter: (((users_1.composite_id).tenant_id = (events_1.composite_id).tenant_id) AND ((users_1.composite_id).user_id = (events_1.composite_id).user_id))
-> Seq Scan on events_270009 events_1 (cost=0.00..11.62 rows=1 width=40)
Filter: ((event_type)::text = 'submit'::text)
-> Seq Scan on users_270013 users_1 (cost=0.00..28.00 rows=6 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Materialize (cost=12.29..12.31 rows=1 width=48)
-> Unique (cost=12.29..12.30 rows=1 width=32)
-> Sort (cost=12.29..12.29 rows=1 width=32)
Sort Key: ((events_2.composite_id).tenant_id), ((events_2.composite_id).user_id)
-> Seq Scan on events_270009 events_2 (cost=0.00..12.28 rows=1 width=32)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type) AND ((event_type)::text = 'pay'::text))
(37 rows)
-- Union, left join and having subquery pushdown
EXPLAIN SELECT
@ -1019,37 +1013,34 @@ ORDER BY
user_lastseen DESC
LIMIT
10;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Distributed Query into pg_merge_job_270017
Executor: Real-Time
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit (cost=100.43..100.44 rows=6 width=56)
-> Sort (cost=100.43..100.44 rows=6 width=56)
Sort Key: (max(users.lastseen)) DESC
-> GroupAggregate (cost=100.14..100.29 rows=6 width=548)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort (cost=100.14..100.16 rows=6 width=548)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Nested Loop Left Join (cost=40.04..100.06 rows=6 width=548)
-> Limit (cost=28.08..28.09 rows=6 width=40)
-> Sort (cost=28.08..28.09 rows=6 width=40)
Sort Key: users.lastseen DESC
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=40)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Limit (cost=11.96..11.96 rows=1 width=524)
-> Sort (cost=11.96..11.96 rows=1 width=524)
Sort Key: events.event_time DESC
-> Seq Scan on events_270009 events (cost=0.00..11.95 rows=1 width=524)
Filter: (((composite_id).tenant_id = ((users.composite_id).tenant_id)) AND ((composite_id).user_id = ((users.composite_id).user_id)))
Master Query
-> Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: intermediate_column_270017_2 DESC
-> Seq Scan on pg_merge_job_270017 (cost=0.00..0.00 rows=0 width=0)
(29 rows)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..0.00 rows=0 width=0)
-> Sort (cost=0.00..0.00 rows=0 width=0)
Sort Key: user_lastseen DESC
-> Custom Scan (Citus Real-Time) (cost=0.00..0.00 rows=0 width=0)
Task Count: 2
Tasks Shown: One of 2
-> Task
Node: host=localhost port=57637 dbname=regression
-> Limit (cost=100.43..100.44 rows=6 width=56)
-> Sort (cost=100.43..100.44 rows=6 width=56)
Sort Key: (max(users.lastseen)) DESC
-> GroupAggregate (cost=100.14..100.29 rows=6 width=548)
Group Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Sort (cost=100.14..100.16 rows=6 width=548)
Sort Key: ((users.composite_id).tenant_id), ((users.composite_id).user_id)
-> Nested Loop Left Join (cost=40.04..100.06 rows=6 width=548)
-> Limit (cost=28.08..28.09 rows=6 width=40)
-> Sort (cost=28.08..28.09 rows=6 width=40)
Sort Key: users.lastseen DESC
-> Seq Scan on users_270013 users (cost=0.00..28.00 rows=6 width=40)
Filter: ((composite_id >= '(1,-9223372036854775808)'::user_composite_type) AND (composite_id <= '(1,9223372036854775807)'::user_composite_type))
-> Limit (cost=11.96..11.96 rows=1 width=524)
-> Sort (cost=11.96..11.96 rows=1 width=524)
Sort Key: events.event_time DESC
-> Seq Scan on events_270009 events (cost=0.00..11.95 rows=1 width=524)
Filter: (((composite_id).tenant_id = ((users.composite_id).tenant_id)) AND ((composite_id).user_id = ((users.composite_id).user_id)))
(26 rows)
SET citus.enable_router_execution TO 'true';

1
src/test/regress/sql/multi_join_order_additional.sql
View File

@ -11,6 +11,7 @@ ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 650000;
SET citus.explain_distributed_queries TO off;
SET citus.log_multi_join_order TO TRUE;
SET citus.task_executor_type = 'task-tracker'; -- can't explain all queries otherwise
SET client_min_messages TO DEBUG2;
-- Create new table definitions for use in testing in distributed planning and

1
src/test/regress/sql/multi_join_order_tpch_large.sql
View File

@ -11,6 +11,7 @@ ALTER SEQUENCE pg_catalog.pg_dist_jobid_seq RESTART 660000;
SET citus.explain_distributed_queries TO off;
SET citus.log_multi_join_order TO TRUE;
SET citus.task_executor_type = 'task-tracker'; -- can't explain all queries otherwise
SET client_min_messages TO LOG;
-- Change configuration to treat lineitem, orders, customer, and part tables as

1
src/test/regress/sql/multi_mx_reference_table.sql
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@ -304,6 +304,7 @@ DECLARE test_cursor CURSOR FOR
FETCH test_cursor;
FETCH ALL test_cursor;
FETCH test_cursor; -- fetch one row after the last
FETCH BACKWARD test_cursor;
END;
-- table creation queries inside can be router plannable

1
src/test/regress/sql/multi_mx_router_planner.sql
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@ -557,6 +557,7 @@ DECLARE test_cursor CURSOR FOR
ORDER BY id;
FETCH test_cursor;
FETCH test_cursor;
FETCH BACKWARD test_cursor;
END;
-- queries inside copy can be router plannable

4
src/test/regress/sql/multi_mx_schema_support.sql
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@ -21,6 +21,8 @@ DECLARE test_cursor CURSOR FOR
FROM nation_hash
WHERE n_nationkey = 1;
FETCH test_cursor;
FETCH test_cursor;
FETCH BACKWARD test_cursor;
END;
-- test with search_path is set
@ -31,6 +33,8 @@ DECLARE test_cursor CURSOR FOR
FROM nation_hash
WHERE n_nationkey = 1;
FETCH test_cursor;
FETCH test_cursor;
FETCH BACKWARD test_cursor;
END;

20
src/test/regress/sql/multi_query_directory_cleanup.sql
View File

@ -46,25 +46,45 @@ SELECT pg_ls_dir('base/pgsql_job_cache');
-- transaction.
BEGIN;
DECLARE c_00 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_00;
DECLARE c_01 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_01;
DECLARE c_02 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_02;
DECLARE c_03 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_03;
DECLARE c_04 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_04;
DECLARE c_05 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_05;
DECLARE c_06 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_06;
DECLARE c_07 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_07;
DECLARE c_08 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_08;
DECLARE c_09 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_09;
DECLARE c_10 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_10;
DECLARE c_11 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_11;
DECLARE c_12 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_12;
DECLARE c_13 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_13;
DECLARE c_14 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_14;
DECLARE c_15 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_15;
DECLARE c_16 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_16;
DECLARE c_17 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_17;
DECLARE c_18 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_18;
DECLARE c_19 CURSOR FOR SELECT sum(l_extendedprice * l_discount) as revenue FROM lineitem;
FETCH 1 FROM c_19;
SELECT * FROM pg_ls_dir('base/pgsql_job_cache') f ORDER BY f;
-- close first, 17th (first after re-alloc) and last cursor.
CLOSE c_00;

1
src/test/regress/sql/multi_reference_table.sql
View File

@ -335,6 +335,7 @@ DECLARE test_cursor CURSOR FOR
FETCH test_cursor;
FETCH ALL test_cursor;
FETCH test_cursor; -- fetch one row after the last
FETCH BACKWARD test_cursor;
END;
-- table creation queries inside can be router plannable

14
src/test/regress/sql/multi_router_planner.sql
View File

@ -917,6 +917,7 @@ DECLARE test_cursor CURSOR FOR
FETCH test_cursor;
FETCH ALL test_cursor;
FETCH test_cursor; -- fetch one row after the last
FETCH BACKWARD test_cursor;
END;
-- queries inside copy can be router plannable
@ -988,14 +989,14 @@ $$ LANGUAGE plpgsql;
SELECT * FROM author_articles_id_word_count();
-- materialized views can be created for router plannable queries
CREATE MATERIALIZED VIEW mv_articles_hash AS
CREATE MATERIALIZED VIEW mv_articles_hash_empty AS
SELECT * FROM articles_hash WHERE author_id = 1;
SELECT * FROM mv_articles_hash_empty;
SELECT * FROM mv_articles_hash;
CREATE MATERIALIZED VIEW mv_articles_hash_error AS
CREATE MATERIALIZED VIEW mv_articles_hash_data AS
SELECT * FROM articles_hash WHERE author_id in (1,2);
SELECT * FROM mv_articles_hash_data;
-- router planner/executor is now enabled for task-tracker executor
SET citus.task_executor_type to 'task-tracker';
SELECT id
@ -1053,7 +1054,8 @@ DROP TABLE failure_test;
DROP FUNCTION author_articles_max_id();
DROP FUNCTION author_articles_id_word_count();
DROP MATERIALIZED VIEW mv_articles_hash;
DROP MATERIALIZED VIEW mv_articles_hash_empty;
DROP MATERIALIZED VIEW mv_articles_hash_data;
DROP TABLE articles_hash;
DROP TABLE articles_single_shard_hash;

4
src/test/regress/sql/multi_schema_support.sql
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@ -113,6 +113,8 @@ DECLARE test_cursor CURSOR FOR
FROM test_schema_support.nation_append
WHERE n_nationkey = 1;
FETCH test_cursor;
FETCH test_cursor;
FETCH BACKWARD test_cursor;
END;
-- test with search_path is set
@ -123,6 +125,8 @@ DECLARE test_cursor CURSOR FOR
FROM nation_append
WHERE n_nationkey = 1;
FETCH test_cursor;
FETCH test_cursor;
FETCH BACKWARD test_cursor;
END;

1
src/test/regress/sql/multi_utility_statements.sql
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@ -146,5 +146,6 @@ DECLARE noHoldCursor SCROLL CURSOR FOR
ORDER BY l_orderkey, l_linenumber;
FETCH ABSOLUTE 5 FROM noHoldCursor;
FETCH BACKWARD noHoldCursor;
COMMIT;
FETCH ABSOLUTE 5 FROM noHoldCursor;