mirror of https://github.com/citusdata/citus.git
968 lines
27 KiB
C
968 lines
27 KiB
C
/*-------------------------------------------------------------------------
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*
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* citus_custom_scan.c
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*
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* Definitions of custom scan methods for all executor types.
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*
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* Copyright (c) Citus Data, Inc.
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*-------------------------------------------------------------------------
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*/
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#include "postgres.h"
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#include "miscadmin.h"
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#include "commands/copy.h"
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#include "distributed/backend_data.h"
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#include "distributed/citus_clauses.h"
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#include "distributed/citus_custom_scan.h"
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#include "distributed/citus_nodefuncs.h"
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#include "distributed/citus_ruleutils.h"
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#include "distributed/deparse_shard_query.h"
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#include "distributed/distributed_execution_locks.h"
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#include "distributed/insert_select_executor.h"
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#include "distributed/insert_select_planner.h"
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#include "distributed/listutils.h"
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#include "distributed/local_executor.h"
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#include "distributed/multi_executor.h"
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#include "distributed/multi_server_executor.h"
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#include "distributed/multi_router_planner.h"
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#include "distributed/query_stats.h"
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#include "distributed/subplan_execution.h"
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#include "distributed/worker_protocol.h"
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#include "executor/executor.h"
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#include "nodes/makefuncs.h"
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#if PG_VERSION_NUM >= 120000
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#include "optimizer/optimizer.h"
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#else
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#include "optimizer/planner.h"
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#endif
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#include "optimizer/clauses.h"
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#include "utils/memutils.h"
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#include "utils/rel.h"
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/* functions for creating custom scan nodes */
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static Node * AdaptiveExecutorCreateScan(CustomScan *scan);
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static Node * TaskTrackerCreateScan(CustomScan *scan);
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static Node * CoordinatorInsertSelectCreateScan(CustomScan *scan);
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static Node * DelayedErrorCreateScan(CustomScan *scan);
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/* functions that are common to different scans */
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static void CitusBeginScan(CustomScanState *node, EState *estate, int eflags);
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static void CitusBeginSelectScan(CustomScanState *node, EState *estate, int eflags);
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static void CitusBeginModifyScan(CustomScanState *node, EState *estate, int eflags);
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static void CitusPreExecScan(CitusScanState *scanState);
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static bool ModifyJobNeedsEvaluation(Job *workerJob);
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static void RegenerateTaskForFasthPathQuery(Job *workerJob);
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static void RegenerateTaskListForInsert(Job *workerJob);
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static void CacheLocalPlanForShardQuery(Task *task,
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DistributedPlan *originalDistributedPlan);
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static bool IsLocalPlanCachingSupported(Job *workerJob,
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DistributedPlan *originalDistributedPlan);
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static DistributedPlan * CopyDistributedPlanWithoutCache(
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DistributedPlan *originalDistributedPlan);
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static void CitusEndScan(CustomScanState *node);
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static void CitusReScan(CustomScanState *node);
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/* create custom scan methods for all executors */
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CustomScanMethods AdaptiveExecutorCustomScanMethods = {
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"Citus Adaptive",
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AdaptiveExecutorCreateScan
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};
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CustomScanMethods TaskTrackerCustomScanMethods = {
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"Citus Task-Tracker",
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TaskTrackerCreateScan
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};
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CustomScanMethods CoordinatorInsertSelectCustomScanMethods = {
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"Citus INSERT ... SELECT",
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CoordinatorInsertSelectCreateScan
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};
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CustomScanMethods DelayedErrorCustomScanMethods = {
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"Citus Delayed Error",
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DelayedErrorCreateScan
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};
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/*
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* Define executor methods for the different executor types.
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*/
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static CustomExecMethods AdaptiveExecutorCustomExecMethods = {
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.CustomName = "AdaptiveExecutorScan",
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.BeginCustomScan = CitusBeginScan,
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.ExecCustomScan = CitusExecScan,
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.EndCustomScan = CitusEndScan,
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.ReScanCustomScan = CitusReScan,
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.ExplainCustomScan = CitusExplainScan
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};
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static CustomExecMethods TaskTrackerCustomExecMethods = {
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.CustomName = "TaskTrackerScan",
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.BeginCustomScan = CitusBeginScan,
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.ExecCustomScan = TaskTrackerExecScan,
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.EndCustomScan = CitusEndScan,
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.ReScanCustomScan = CitusReScan,
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.ExplainCustomScan = CitusExplainScan
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};
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static CustomExecMethods CoordinatorInsertSelectCustomExecMethods = {
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.CustomName = "CoordinatorInsertSelectScan",
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.BeginCustomScan = CitusBeginScan,
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.ExecCustomScan = CoordinatorInsertSelectExecScan,
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.EndCustomScan = CitusEndScan,
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.ReScanCustomScan = CitusReScan,
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.ExplainCustomScan = CoordinatorInsertSelectExplainScan
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};
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/*
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* IsCitusCustomState returns if a given PlanState node is a CitusCustomState node.
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*/
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bool
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IsCitusCustomState(PlanState *planState)
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{
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if (!IsA(planState, CustomScanState))
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{
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return false;
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}
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CustomScanState *css = castNode(CustomScanState, planState);
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if (css->methods == &AdaptiveExecutorCustomExecMethods ||
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css->methods == &TaskTrackerCustomExecMethods ||
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css->methods == &CoordinatorInsertSelectCustomExecMethods)
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{
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return true;
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}
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return false;
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}
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/*
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* Let PostgreSQL know about Citus' custom scan nodes.
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*/
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void
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RegisterCitusCustomScanMethods(void)
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{
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RegisterCustomScanMethods(&AdaptiveExecutorCustomScanMethods);
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RegisterCustomScanMethods(&TaskTrackerCustomScanMethods);
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RegisterCustomScanMethods(&CoordinatorInsertSelectCustomScanMethods);
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RegisterCustomScanMethods(&DelayedErrorCustomScanMethods);
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}
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/*
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* CitusBeginScan sets the coordinator backend initiated by Citus for queries using
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* that function as the BeginCustomScan callback.
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*
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* The function also handles deferred shard pruning along with function evaluations.
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*/
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static void
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CitusBeginScan(CustomScanState *node, EState *estate, int eflags)
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{
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MarkCitusInitiatedCoordinatorBackend();
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CitusScanState *scanState = (CitusScanState *) node;
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#if PG_VERSION_NUM >= 120000
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/*
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* Since we are using a tuplestore we cannot use the virtual tuples postgres had
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* already setup on the CustomScan. Instead we need to reinitialize the tuples as
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* minimal.
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*
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* During initialization postgres also created the projection information and the
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* quals, but both are 'compiled' to be executed on virtual tuples. Since we replaced
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* the tuples with minimal tuples we also compile both the projection and the quals
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* on to these 'new' tuples.
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*/
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ExecInitResultSlot(&scanState->customScanState.ss.ps, &TTSOpsMinimalTuple);
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ExecInitScanTupleSlot(node->ss.ps.state, &node->ss, node->ss.ps.scandesc,
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&TTSOpsMinimalTuple);
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ExecAssignScanProjectionInfoWithVarno(&node->ss, INDEX_VAR);
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node->ss.ps.qual = ExecInitQual(node->ss.ps.plan->qual, (PlanState *) node);
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#endif
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DistributedPlan *distributedPlan = scanState->distributedPlan;
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if (distributedPlan->insertSelectQuery != NULL)
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{
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/*
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* INSERT..SELECT via coordinator or re-partitioning are special because
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* the SELECT part is planned separately.
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*/
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return;
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}
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else if (distributedPlan->modLevel == ROW_MODIFY_READONLY)
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{
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CitusBeginSelectScan(node, estate, eflags);
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}
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else
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{
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CitusBeginModifyScan(node, estate, eflags);
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}
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}
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/*
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* CitusPreExecScan is called right before postgres' executor starts pulling tuples.
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*/
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static void
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CitusPreExecScan(CitusScanState *scanState)
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{
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AdaptiveExecutorPreExecutorRun(scanState);
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}
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/*
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* CitusExecScan is called when a tuple is pulled from a custom scan.
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* On the first call, it executes the distributed query and writes the
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* results to a tuple store. The postgres executor calls this function
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* repeatedly to read tuples from the tuple store.
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*/
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TupleTableSlot *
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CitusExecScan(CustomScanState *node)
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{
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CitusScanState *scanState = (CitusScanState *) node;
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if (!scanState->finishedRemoteScan)
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{
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AdaptiveExecutor(scanState);
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scanState->finishedRemoteScan = true;
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}
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return ReturnTupleFromTuplestore(scanState);
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}
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/*
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* CitusBeginSelectScan handles deferred pruning and plan caching for SELECTs.
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*/
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static void
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CitusBeginSelectScan(CustomScanState *node, EState *estate, int eflags)
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{
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CitusScanState *scanState = (CitusScanState *) node;
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DistributedPlan *originalDistributedPlan = scanState->distributedPlan;
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if (!originalDistributedPlan->workerJob->deferredPruning)
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{
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/*
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* For SELECT queries that have already been pruned we can proceed straight
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* to execution, since none of the prepared statement logic applies.
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*/
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return;
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}
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/*
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* Create a copy of the generic plan for the current execution, but make a shallow
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* copy of the plan cache. That means we'll be able to access the plan cache via
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* currentPlan->workerJob->localPlannedStatements, but it will be preserved across
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* executions by the prepared statement logic.
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*/
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DistributedPlan *currentPlan =
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CopyDistributedPlanWithoutCache(originalDistributedPlan);
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scanState->distributedPlan = currentPlan;
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Job *workerJob = currentPlan->workerJob;
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Query *jobQuery = workerJob->jobQuery;
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PlanState *planState = &(scanState->customScanState.ss.ps);
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/*
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* We only do deferred pruning for fast path queries, which have a single
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* partition column value.
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*/
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Assert(currentPlan->fastPathRouterPlan || !EnableFastPathRouterPlanner);
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/*
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* Evaluate parameters, because the parameters are only available on the
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* coordinator and are required for pruning.
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*
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* We don't evaluate functions for read-only queries on the coordinator
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* at the moment. Most function calls would be in a context where they
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* should be re-evaluated for every row in case of volatile functions.
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*
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* TODO: evaluate stable functions
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*/
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ExecuteMasterEvaluableParameters(jobQuery, planState);
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/* job query no longer has parameters, so we should not send any */
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workerJob->parametersInJobQueryResolved = true;
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/* parameters are filled in, so we can generate a task for this execution */
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RegenerateTaskForFasthPathQuery(workerJob);
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if (IsLocalPlanCachingSupported(workerJob, originalDistributedPlan))
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{
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Task *task = linitial(workerJob->taskList);
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/*
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* We are going to execute this task locally. If it's not already in
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* the cache, create a local plan now and add it to the cache. During
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* execution, we will get the plan from the cache.
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*
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* The plan will be cached across executions when originalDistributedPlan
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* represents a prepared statement.
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*/
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CacheLocalPlanForShardQuery(task, originalDistributedPlan);
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}
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}
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/*
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* CitusBeginModifyScan prepares the scan state for a modification.
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*
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* Modifications are special because:
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* a) we evaluate function calls (e.g. nextval) here and the outcome may
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* determine which shards are affected by this query.
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* b) we need to take metadata locks to make sure no write is left behind
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* when finalizing a shard move.
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*/
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static void
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CitusBeginModifyScan(CustomScanState *node, EState *estate, int eflags)
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{
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CitusScanState *scanState = (CitusScanState *) node;
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PlanState *planState = &(scanState->customScanState.ss.ps);
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DistributedPlan *originalDistributedPlan = scanState->distributedPlan;
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DistributedPlan *currentPlan =
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CopyDistributedPlanWithoutCache(originalDistributedPlan);
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scanState->distributedPlan = currentPlan;
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Job *workerJob = currentPlan->workerJob;
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Query *jobQuery = workerJob->jobQuery;
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if (ModifyJobNeedsEvaluation(workerJob))
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{
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/* evaluate both functions and parameters */
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ExecuteMasterEvaluableFunctionsAndParameters(jobQuery, planState);
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/* job query no longer has parameters, so we should not send any */
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workerJob->parametersInJobQueryResolved = true;
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}
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if (workerJob->deferredPruning)
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{
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/*
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* At this point, we're about to do the shard pruning for fast-path queries.
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* Given that pruning is deferred always for INSERTs, we get here
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* !EnableFastPathRouterPlanner as well.
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*/
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Assert(currentPlan->fastPathRouterPlan || !EnableFastPathRouterPlanner);
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/*
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* We can only now decide which shard to use, so we need to build a new task
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* list.
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*/
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if (jobQuery->commandType == CMD_INSERT)
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{
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RegenerateTaskListForInsert(workerJob);
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}
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else
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{
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RegenerateTaskForFasthPathQuery(workerJob);
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}
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}
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else if (workerJob->requiresMasterEvaluation)
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{
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/*
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* When there is no deferred pruning, but we did evaluate functions, then
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* we only rebuild the query strings in the existing tasks.
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*/
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RebuildQueryStrings(workerJob);
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}
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/*
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* Now that we know the shard ID(s) we can acquire the necessary shard metadata
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* locks. Once we have the locks it's safe to load the placement metadata.
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*/
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/* prevent concurrent placement changes */
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AcquireMetadataLocks(workerJob->taskList);
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/* modify tasks are always assigned using first-replica policy */
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workerJob->taskList = FirstReplicaAssignTaskList(workerJob->taskList);
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/*
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* Now that we have populated the task placements we can determine whether
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* any of them are local to this node and cache a plan if needed.
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*/
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if (IsLocalPlanCachingSupported(workerJob, originalDistributedPlan))
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{
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Task *task = linitial(workerJob->taskList);
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/*
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* We are going to execute this task locally. If it's not already in
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* the cache, create a local plan now and add it to the cache. During
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* execution, we will get the plan from the cache.
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*
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* WARNING: In this function we'll use the original plan with the original
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* query tree, meaning parameters and function calls are back and we'll
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* redo evaluation in the local (Postgres) executor. The reason we do this
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* is that we only need to cache one generic plan per shard.
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*
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* The plan will be cached across executions when originalDistributedPlan
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* represents a prepared statement.
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*/
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CacheLocalPlanForShardQuery(task, originalDistributedPlan);
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}
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}
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/*
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* ModifyJobNeedsEvaluation checks whether the functions and parameters in the job query
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* need to be evaluated before we can build task query strings.
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*/
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static bool
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ModifyJobNeedsEvaluation(Job *workerJob)
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{
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if (workerJob->requiresMasterEvaluation)
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{
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/* query contains functions that need to be evaluated on the coordinator */
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return true;
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}
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if (workerJob->partitionKeyValue != NULL)
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{
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/* the value of the distribution column is already known */
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return false;
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}
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/* pruning was deferred due to a parameter in the partition column */
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return workerJob->deferredPruning;
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}
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/*
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* CopyDistributedPlanWithoutCache is a helper function which copies the
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* distributedPlan into the current memory context.
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*
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* We must not change the distributed plan since it may be reused across multiple
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* executions of a prepared statement. Instead we create a deep copy that we only
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* use for the current execution.
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*
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* We also exclude localPlannedStatements from the copyObject call for performance
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* reasons, as they are immutable, so no need to have a deep copy.
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*/
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static DistributedPlan *
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CopyDistributedPlanWithoutCache(DistributedPlan *originalDistributedPlan)
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{
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List *localPlannedStatements =
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originalDistributedPlan->workerJob->localPlannedStatements;
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originalDistributedPlan->workerJob->localPlannedStatements = NIL;
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DistributedPlan *distributedPlan = copyObject(originalDistributedPlan);
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/* set back the immutable field */
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originalDistributedPlan->workerJob->localPlannedStatements = localPlannedStatements;
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distributedPlan->workerJob->localPlannedStatements = localPlannedStatements;
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return distributedPlan;
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}
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/*
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* CacheLocalPlanForShardQuery replaces the relation OIDs in the job query
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* with shard relation OIDs and then plans the query and caches the result
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* in the originalDistributedPlan (which may be preserved across executions).
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*/
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static void
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CacheLocalPlanForShardQuery(Task *task, DistributedPlan *originalDistributedPlan)
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{
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PlannedStmt *localPlan = GetCachedLocalPlan(task, originalDistributedPlan);
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if (localPlan != NULL)
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{
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/* we already have a local plan */
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return;
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}
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if (list_length(task->relationShardList) == 0)
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{
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/* zero shard plan, no need to cache */
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return;
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}
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/*
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* All memory allocations should happen in the plan's context
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* since we'll cache the local plan there.
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*/
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MemoryContext oldContext =
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MemoryContextSwitchTo(GetMemoryChunkContext(originalDistributedPlan));
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/*
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* We prefer to use jobQuery (over task->query) because we don't want any
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* functions/params to have been evaluated in the cached plan.
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*/
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Query *shardQuery = copyObject(originalDistributedPlan->workerJob->jobQuery);
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UpdateRelationsToLocalShardTables((Node *) shardQuery, task->relationShardList);
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LOCKMODE lockMode =
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IsModifyCommand(shardQuery) ? RowExclusiveLock : (shardQuery->hasForUpdate ?
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RowShareLock : AccessShareLock);
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/* fast path queries can only have a single RTE by definition */
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RangeTblEntry *rangeTableEntry = (RangeTblEntry *) linitial(shardQuery->rtable);
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/*
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* If the shard has been created in this transction, we wouldn't see the relationId
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* for it, so do not cache.
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*/
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if (rangeTableEntry->relid == InvalidOid)
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{
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pfree(shardQuery);
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MemoryContextSwitchTo(oldContext);
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return;
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}
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|
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if (IsLoggableLevel(DEBUG5))
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{
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StringInfo queryString = makeStringInfo();
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pg_get_query_def(shardQuery, queryString);
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ereport(DEBUG5, (errmsg("caching plan for query: %s",
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queryString->data)));
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}
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LockRelationOid(rangeTableEntry->relid, lockMode);
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LocalPlannedStatement *localPlannedStatement = CitusMakeNode(LocalPlannedStatement);
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localPlan = planner(shardQuery, 0, NULL);
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localPlannedStatement->localPlan = localPlan;
|
|
localPlannedStatement->shardId = task->anchorShardId;
|
|
localPlannedStatement->localGroupId = GetLocalGroupId();
|
|
|
|
originalDistributedPlan->workerJob->localPlannedStatements =
|
|
lappend(originalDistributedPlan->workerJob->localPlannedStatements,
|
|
localPlannedStatement);
|
|
|
|
MemoryContextSwitchTo(oldContext);
|
|
}
|
|
|
|
|
|
/*
|
|
* GetCachedLocalPlan is a helper function which return the cached
|
|
* plan in the distributedPlan for the given task if exists.
|
|
*
|
|
* Otherwise, the function returns NULL.
|
|
*/
|
|
PlannedStmt *
|
|
GetCachedLocalPlan(Task *task, DistributedPlan *distributedPlan)
|
|
{
|
|
if (distributedPlan->workerJob == NULL)
|
|
{
|
|
return NULL;
|
|
}
|
|
List *cachedPlanList = distributedPlan->workerJob->localPlannedStatements;
|
|
LocalPlannedStatement *localPlannedStatement = NULL;
|
|
|
|
int32 localGroupId = GetLocalGroupId();
|
|
|
|
foreach_ptr(localPlannedStatement, cachedPlanList)
|
|
{
|
|
if (localPlannedStatement->shardId == task->anchorShardId &&
|
|
localPlannedStatement->localGroupId == localGroupId)
|
|
{
|
|
/* already have a cached plan, no need to continue */
|
|
return localPlannedStatement->localPlan;
|
|
}
|
|
}
|
|
|
|
return NULL;
|
|
}
|
|
|
|
|
|
/*
|
|
* IsLocalPlanCachingSupported returns whether (part of) the task can be planned
|
|
* and executed locally and whether caching is supported (single shard, no volatile
|
|
* functions).
|
|
*/
|
|
static bool
|
|
IsLocalPlanCachingSupported(Job *currentJob, DistributedPlan *originalDistributedPlan)
|
|
{
|
|
if (!currentJob->deferredPruning)
|
|
{
|
|
/*
|
|
* When not using deferred pruning we may have already replaced distributed
|
|
* table RTEs with citus_extradata_container RTEs to pass the shard ID to the
|
|
* deparser. In that case, we cannot pass the query tree directly to the
|
|
* planner.
|
|
*
|
|
* If desired, we can relax this check by improving the implementation of
|
|
* CacheLocalPlanForShardQuery to translate citus_extradata_container
|
|
* to a shard relation OID.
|
|
*/
|
|
return false;
|
|
}
|
|
|
|
List *taskList = currentJob->taskList;
|
|
if (list_length(taskList) != 1)
|
|
{
|
|
/* we only support plan caching for single shard queries */
|
|
return false;
|
|
}
|
|
|
|
Task *task = linitial(taskList);
|
|
if (!TaskAccessesLocalNode(task))
|
|
{
|
|
/* not a local task */
|
|
return false;
|
|
}
|
|
|
|
if (!EnableLocalExecution)
|
|
{
|
|
/* user requested not to use local execution */
|
|
return false;
|
|
}
|
|
|
|
if (TransactionConnectedToLocalGroup)
|
|
{
|
|
/* transaction already connected to localhost */
|
|
return false;
|
|
}
|
|
|
|
Query *originalJobQuery = originalDistributedPlan->workerJob->jobQuery;
|
|
if (contain_volatile_functions((Node *) originalJobQuery))
|
|
{
|
|
/*
|
|
* We do not cache plans with volatile functions in the query.
|
|
*
|
|
* The reason we care about volatile functions is primarily that we
|
|
* already executed them in ExecuteMasterEvaluableFunctionsAndParameters
|
|
* and since we're falling back to the original query tree here we would
|
|
* execute them again if we execute the plan.
|
|
*/
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
|
|
/*
|
|
* RegenerateTaskListForInsert does the shard pruning for an INSERT query
|
|
* queries and rebuilds the query strings.
|
|
*/
|
|
static void
|
|
RegenerateTaskListForInsert(Job *workerJob)
|
|
{
|
|
Query *jobQuery = workerJob->jobQuery;
|
|
bool parametersInJobQueryResolved = workerJob->parametersInJobQueryResolved;
|
|
DeferredErrorMessage *planningError = NULL;
|
|
|
|
/* need to perform shard pruning, rebuild the task list from scratch */
|
|
List *taskList = RouterInsertTaskList(jobQuery, parametersInJobQueryResolved,
|
|
&planningError);
|
|
if (planningError != NULL)
|
|
{
|
|
RaiseDeferredError(planningError, ERROR);
|
|
}
|
|
|
|
workerJob->taskList = taskList;
|
|
|
|
if (workerJob->partitionKeyValue == NULL)
|
|
{
|
|
/*
|
|
* If we were not able to determine the partition key value in the planner,
|
|
* take another shot now. It may still be NULL in case of a multi-row
|
|
* insert.
|
|
*/
|
|
workerJob->partitionKeyValue = ExtractInsertPartitionKeyValue(jobQuery);
|
|
}
|
|
|
|
RebuildQueryStrings(workerJob);
|
|
}
|
|
|
|
|
|
/*
|
|
* RegenerateTaskForFasthPathQuery does the shard pruning for
|
|
* UPDATE/DELETE/SELECT fast path router queries and rebuilds the query strings.
|
|
*/
|
|
static void
|
|
RegenerateTaskForFasthPathQuery(Job *workerJob)
|
|
{
|
|
bool isMultiShardQuery = false;
|
|
List *shardIntervalList =
|
|
TargetShardIntervalForFastPathQuery(workerJob->jobQuery,
|
|
&isMultiShardQuery, NULL,
|
|
&workerJob->partitionKeyValue);
|
|
|
|
/*
|
|
* A fast-path router query can only yield multiple shards when the parameter
|
|
* cannot be resolved properly, which can be triggered by SQL function.
|
|
*/
|
|
if (isMultiShardQuery)
|
|
{
|
|
ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("cannot perform distributed planning on this "
|
|
"query because parameterized queries for SQL "
|
|
"functions referencing distributed tables are "
|
|
"not supported"),
|
|
errhint("Consider using PL/pgSQL functions instead.")));
|
|
}
|
|
|
|
bool shardsPresent = false;
|
|
List *relationShardList =
|
|
RelationShardListForShardIntervalList(shardIntervalList, &shardsPresent);
|
|
|
|
UpdateRelationToShardNames((Node *) workerJob->jobQuery, relationShardList);
|
|
|
|
List *placementList =
|
|
FindRouterWorkerList(shardIntervalList, shardsPresent, true);
|
|
uint64 shardId = INVALID_SHARD_ID;
|
|
|
|
if (shardsPresent)
|
|
{
|
|
shardId = GetAnchorShardId(shardIntervalList);
|
|
}
|
|
|
|
GenerateSingleShardRouterTaskList(workerJob,
|
|
relationShardList,
|
|
placementList, shardId);
|
|
}
|
|
|
|
|
|
/*
|
|
* AdaptiveExecutorCreateScan creates the scan state for the adaptive executor.
|
|
*/
|
|
static Node *
|
|
AdaptiveExecutorCreateScan(CustomScan *scan)
|
|
{
|
|
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
|
|
|
|
scanState->executorType = MULTI_EXECUTOR_ADAPTIVE;
|
|
scanState->customScanState.ss.ps.type = T_CustomScanState;
|
|
scanState->distributedPlan = GetDistributedPlan(scan);
|
|
|
|
scanState->customScanState.methods = &AdaptiveExecutorCustomExecMethods;
|
|
scanState->PreExecScan = &CitusPreExecScan;
|
|
|
|
return (Node *) scanState;
|
|
}
|
|
|
|
|
|
/*
|
|
* TaskTrackerCreateScan creates the scan state for task-tracker executor queries.
|
|
*/
|
|
static Node *
|
|
TaskTrackerCreateScan(CustomScan *scan)
|
|
{
|
|
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
|
|
|
|
scanState->executorType = MULTI_EXECUTOR_TASK_TRACKER;
|
|
scanState->customScanState.ss.ps.type = T_CustomScanState;
|
|
scanState->distributedPlan = GetDistributedPlan(scan);
|
|
|
|
scanState->customScanState.methods = &TaskTrackerCustomExecMethods;
|
|
|
|
return (Node *) scanState;
|
|
}
|
|
|
|
|
|
/*
|
|
* CoordinatorInsertSelectCrateScan creates the scan state for executing
|
|
* INSERT..SELECT into a distributed table via the coordinator.
|
|
*/
|
|
static Node *
|
|
CoordinatorInsertSelectCreateScan(CustomScan *scan)
|
|
{
|
|
CitusScanState *scanState = palloc0(sizeof(CitusScanState));
|
|
|
|
scanState->executorType = MULTI_EXECUTOR_COORDINATOR_INSERT_SELECT;
|
|
scanState->customScanState.ss.ps.type = T_CustomScanState;
|
|
scanState->distributedPlan = GetDistributedPlan(scan);
|
|
|
|
scanState->customScanState.methods =
|
|
&CoordinatorInsertSelectCustomExecMethods;
|
|
|
|
return (Node *) scanState;
|
|
}
|
|
|
|
|
|
/*
|
|
* 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.
|
|
*/
|
|
static Node *
|
|
DelayedErrorCreateScan(CustomScan *scan)
|
|
{
|
|
DistributedPlan *distributedPlan = GetDistributedPlan(scan);
|
|
|
|
/* raise the deferred error */
|
|
RaiseDeferredError(distributedPlan->planningError, ERROR);
|
|
|
|
return NULL;
|
|
}
|
|
|
|
|
|
/*
|
|
* CitusEndScan is used to clean up tuple store of the given custom scan state.
|
|
*/
|
|
static void
|
|
CitusEndScan(CustomScanState *node)
|
|
{
|
|
CitusScanState *scanState = (CitusScanState *) node;
|
|
Job *workerJob = scanState->distributedPlan->workerJob;
|
|
uint64 queryId = scanState->distributedPlan->queryId;
|
|
MultiExecutorType executorType = scanState->executorType;
|
|
Const *partitionKeyConst = NULL;
|
|
char *partitionKeyString = NULL;
|
|
|
|
if (workerJob != NULL)
|
|
{
|
|
partitionKeyConst = workerJob->partitionKeyValue;
|
|
}
|
|
|
|
/* queryId is not set if pg_stat_statements is not installed */
|
|
if (queryId != 0)
|
|
{
|
|
if (partitionKeyConst != NULL && executorType == MULTI_EXECUTOR_ADAPTIVE)
|
|
{
|
|
partitionKeyString = DatumToString(partitionKeyConst->constvalue,
|
|
partitionKeyConst->consttype);
|
|
}
|
|
|
|
/* queries without partition key are also recorded */
|
|
CitusQueryStatsExecutorsEntry(queryId, executorType, partitionKeyString);
|
|
}
|
|
|
|
if (scanState->tuplestorestate)
|
|
{
|
|
tuplestore_end(scanState->tuplestorestate);
|
|
scanState->tuplestorestate = NULL;
|
|
}
|
|
}
|
|
|
|
|
|
/*
|
|
* CitusReScan is not normally called, except in certain cases of
|
|
* DECLARE .. CURSOR WITH HOLD ..
|
|
*/
|
|
static void
|
|
CitusReScan(CustomScanState *node)
|
|
{
|
|
CitusScanState *scanState = (CitusScanState *) node;
|
|
Job *workerJob = scanState->distributedPlan->workerJob;
|
|
EState *executorState = ScanStateGetExecutorState(scanState);
|
|
ParamListInfo paramListInfo = executorState->es_param_list_info;
|
|
|
|
if (paramListInfo != NULL && !workerJob->parametersInJobQueryResolved)
|
|
{
|
|
ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
|
errmsg("Cursors for queries on distributed tables with "
|
|
"parameters are currently unsupported")));
|
|
}
|
|
}
|
|
|
|
|
|
/*
|
|
* ScanStateGetTupleDescriptor returns the tuple descriptor for the given
|
|
* scan state.
|
|
*/
|
|
TupleDesc
|
|
ScanStateGetTupleDescriptor(CitusScanState *scanState)
|
|
{
|
|
return scanState->customScanState.ss.ss_ScanTupleSlot->tts_tupleDescriptor;
|
|
}
|
|
|
|
|
|
/*
|
|
* ScanStateGetExecutorState returns the executor state for the given scan
|
|
* state.
|
|
*/
|
|
EState *
|
|
ScanStateGetExecutorState(CitusScanState *scanState)
|
|
{
|
|
return scanState->customScanState.ss.ps.state;
|
|
}
|
|
|
|
|
|
/*
|
|
* FetchCitusCustomScanIfExists traverses a given plan and returns a Citus CustomScan
|
|
* if it has any.
|
|
*/
|
|
CustomScan *
|
|
FetchCitusCustomScanIfExists(Plan *plan)
|
|
{
|
|
if (plan == NULL)
|
|
{
|
|
return NULL;
|
|
}
|
|
|
|
if (IsCitusCustomScan(plan))
|
|
{
|
|
return (CustomScan *) plan;
|
|
}
|
|
|
|
CustomScan *customScan = FetchCitusCustomScanIfExists(plan->lefttree);
|
|
|
|
if (customScan == NULL)
|
|
{
|
|
customScan = FetchCitusCustomScanIfExists(plan->righttree);
|
|
}
|
|
|
|
return customScan;
|
|
}
|
|
|
|
|
|
/*
|
|
* IsCitusPlan returns whether a Plan contains a CustomScan generated by Citus
|
|
* by recursively walking through the plan tree.
|
|
*/
|
|
bool
|
|
IsCitusPlan(Plan *plan)
|
|
{
|
|
if (plan == NULL)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
if (IsCitusCustomScan(plan))
|
|
{
|
|
return true;
|
|
}
|
|
|
|
return IsCitusPlan(plan->lefttree) || IsCitusPlan(plan->righttree);
|
|
}
|
|
|
|
|
|
/*
|
|
* IsCitusCustomScan returns whether Plan node is a CustomScan generated by Citus.
|
|
*/
|
|
bool
|
|
IsCitusCustomScan(Plan *plan)
|
|
{
|
|
if (plan == NULL)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
if (!IsA(plan, CustomScan))
|
|
{
|
|
return false;
|
|
}
|
|
|
|
CustomScan *customScan = (CustomScan *) plan;
|
|
if (list_length(customScan->custom_private) == 0)
|
|
{
|
|
return false;
|
|
}
|
|
|
|
Node *privateNode = (Node *) linitial(customScan->custom_private);
|
|
if (!CitusIsA(privateNode, DistributedPlan))
|
|
{
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|