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A Gather executor node runs any number of copies of a plan in an equal number of workers and merges all of the results into a single tuple stream. It can also run the plan itself, if the workers are unavailable or haven't started up yet. It is intended to work with the Partial Seq Scan node which will be added in future commits. It could also be used to implement parallel query of a different sort by itself, without help from Partial Seq Scan, if the single_copy mode is used. In that mode, a worker executes the plan, and the parallel leader does not, merely collecting the worker's results. So, a Gather node could be inserted into a plan to split the execution of that plan across two processes. Nested Gather nodes aren't currently supported, but we might want to add support for that in the future. There's nothing in the planner to actually generate Gather nodes yet, so it's not quite time to break out the champagne. But we're getting close. Amit Kapila. Some designs suggestions were provided by me, and I also reviewed the patch. Single-copy mode, documentation, and other minor changes also by me.
588 lines
19 KiB
C
588 lines
19 KiB
C
/*-------------------------------------------------------------------------
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*
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* execParallel.c
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* Support routines for parallel execution.
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*
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* Portions Copyright (c) 1996-2015, PostgreSQL Global Development Group
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* Portions Copyright (c) 1994, Regents of the University of California
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*
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*
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* IDENTIFICATION
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* src/backend/executor/execParallel.c
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*
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*-------------------------------------------------------------------------
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*/
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#include "postgres.h"
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#include "executor/execParallel.h"
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#include "executor/executor.h"
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#include "executor/tqueue.h"
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#include "nodes/nodeFuncs.h"
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#include "optimizer/planmain.h"
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#include "optimizer/planner.h"
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#include "storage/spin.h"
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#include "tcop/tcopprot.h"
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#include "utils/memutils.h"
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#include "utils/snapmgr.h"
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/*
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* Magic numbers for parallel executor communication. We use constants
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* greater than any 32-bit integer here so that values < 2^32 can be used
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* by individual parallel nodes to store their own state.
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*/
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#define PARALLEL_KEY_PLANNEDSTMT UINT64CONST(0xE000000000000001)
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#define PARALLEL_KEY_PARAMS UINT64CONST(0xE000000000000002)
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#define PARALLEL_KEY_BUFFER_USAGE UINT64CONST(0xE000000000000003)
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#define PARALLEL_KEY_TUPLE_QUEUE UINT64CONST(0xE000000000000004)
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#define PARALLEL_KEY_INSTRUMENTATION UINT64CONST(0xE000000000000005)
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#define PARALLEL_TUPLE_QUEUE_SIZE 65536
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/* DSM structure for accumulating per-PlanState instrumentation. */
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typedef struct SharedPlanStateInstrumentation
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{
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int plan_node_id;
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slock_t mutex;
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Instrumentation instr;
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} SharedPlanStateInstrumentation;
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/* DSM structure for accumulating per-PlanState instrumentation. */
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struct SharedExecutorInstrumentation
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{
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int instrument_options;
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int ps_ninstrument; /* # of ps_instrument structures following */
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SharedPlanStateInstrumentation ps_instrument[FLEXIBLE_ARRAY_MEMBER];
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};
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/* Context object for ExecParallelEstimate. */
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typedef struct ExecParallelEstimateContext
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{
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ParallelContext *pcxt;
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int nnodes;
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} ExecParallelEstimateContext;
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/* Context object for ExecParallelEstimate. */
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typedef struct ExecParallelInitializeDSMContext
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{
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ParallelContext *pcxt;
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SharedExecutorInstrumentation *instrumentation;
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int nnodes;
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} ExecParallelInitializeDSMContext;
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/* Helper functions that run in the parallel leader. */
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static char *ExecSerializePlan(Plan *plan, EState *estate);
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static bool ExecParallelEstimate(PlanState *node,
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ExecParallelEstimateContext *e);
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static bool ExecParallelInitializeDSM(PlanState *node,
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ExecParallelInitializeDSMContext *d);
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static shm_mq_handle **ExecParallelSetupTupleQueues(ParallelContext *pcxt);
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static bool ExecParallelRetrieveInstrumentation(PlanState *planstate,
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SharedExecutorInstrumentation *instrumentation);
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/* Helper functions that run in the parallel worker. */
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static void ParallelQueryMain(dsm_segment *seg, shm_toc *toc);
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static DestReceiver *ExecParallelGetReceiver(dsm_segment *seg, shm_toc *toc);
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/*
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* Create a serialized representation of the plan to be sent to each worker.
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*/
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static char *
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ExecSerializePlan(Plan *plan, EState *estate)
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{
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PlannedStmt *pstmt;
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ListCell *tlist;
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/* We can't scribble on the original plan, so make a copy. */
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plan = copyObject(plan);
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/*
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* The worker will start its own copy of the executor, and that copy will
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* insert a junk filter if the toplevel node has any resjunk entries. We
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* don't want that to happen, because while resjunk columns shouldn't be
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* sent back to the user, here the tuples are coming back to another
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* backend which may very well need them. So mutate the target list
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* accordingly. This is sort of a hack; there might be better ways to do
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* this...
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*/
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foreach(tlist, plan->targetlist)
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{
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TargetEntry *tle = (TargetEntry *) lfirst(tlist);
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tle->resjunk = false;
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}
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/*
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* Create a dummy PlannedStmt. Most of the fields don't need to be valid
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* for our purposes, but the worker will need at least a minimal
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* PlannedStmt to start the executor.
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*/
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pstmt = makeNode(PlannedStmt);
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pstmt->commandType = CMD_SELECT;
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pstmt->queryId = 0;
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pstmt->hasReturning = 0;
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pstmt->hasModifyingCTE = 0;
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pstmt->canSetTag = 1;
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pstmt->transientPlan = 0;
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pstmt->planTree = plan;
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pstmt->rtable = estate->es_range_table;
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pstmt->resultRelations = NIL;
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pstmt->utilityStmt = NULL;
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pstmt->subplans = NIL;
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pstmt->rewindPlanIDs = NULL;
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pstmt->rowMarks = NIL;
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pstmt->nParamExec = estate->es_plannedstmt->nParamExec;
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pstmt->relationOids = NIL;
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pstmt->invalItems = NIL; /* workers can't replan anyway... */
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pstmt->hasRowSecurity = false;
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/* Return serialized copy of our dummy PlannedStmt. */
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return nodeToString(pstmt);
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}
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/*
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* Ordinary plan nodes won't do anything here, but parallel-aware plan nodes
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* may need some state which is shared across all parallel workers. Before
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* we size the DSM, give them a chance to call shm_toc_estimate_chunk or
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* shm_toc_estimate_keys on &pcxt->estimator.
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*
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* While we're at it, count the number of PlanState nodes in the tree, so
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* we know how many SharedPlanStateInstrumentation structures we need.
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*/
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static bool
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ExecParallelEstimate(PlanState *planstate, ExecParallelEstimateContext *e)
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{
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if (planstate == NULL)
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return false;
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/* Count this node. */
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e->nnodes++;
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/*
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* XXX. Call estimators for parallel-aware nodes here, when we have
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* some.
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*/
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return planstate_tree_walker(planstate, ExecParallelEstimate, e);
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}
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/*
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* Ordinary plan nodes won't do anything here, but parallel-aware plan nodes
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* may need to initialize shared state in the DSM before parallel workers
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* are available. They can allocate the space they previous estimated using
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* shm_toc_allocate, and add the keys they previously estimated using
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* shm_toc_insert, in each case targeting pcxt->toc.
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*/
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static bool
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ExecParallelInitializeDSM(PlanState *planstate,
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ExecParallelInitializeDSMContext *d)
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{
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if (planstate == NULL)
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return false;
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/* If instrumentation is enabled, initialize array slot for this node. */
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if (d->instrumentation != NULL)
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{
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SharedPlanStateInstrumentation *instrumentation;
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instrumentation = &d->instrumentation->ps_instrument[d->nnodes];
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Assert(d->nnodes < d->instrumentation->ps_ninstrument);
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instrumentation->plan_node_id = planstate->plan->plan_node_id;
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SpinLockInit(&instrumentation->mutex);
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InstrInit(&instrumentation->instr,
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d->instrumentation->instrument_options);
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}
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/* Count this node. */
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d->nnodes++;
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/*
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* XXX. Call initializers for parallel-aware plan nodes, when we have
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* some.
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*/
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return planstate_tree_walker(planstate, ExecParallelInitializeDSM, d);
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}
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/*
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* It sets up the response queues for backend workers to return tuples
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* to the main backend and start the workers.
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*/
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static shm_mq_handle **
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ExecParallelSetupTupleQueues(ParallelContext *pcxt)
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{
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shm_mq_handle **responseq;
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char *tqueuespace;
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int i;
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/* Skip this if no workers. */
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if (pcxt->nworkers == 0)
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return NULL;
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/* Allocate memory for shared memory queue handles. */
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responseq = (shm_mq_handle **)
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palloc(pcxt->nworkers * sizeof(shm_mq_handle *));
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/* Allocate space from the DSM for the queues themselves. */
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tqueuespace = shm_toc_allocate(pcxt->toc,
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PARALLEL_TUPLE_QUEUE_SIZE * pcxt->nworkers);
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/* Create the queues, and become the receiver for each. */
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for (i = 0; i < pcxt->nworkers; ++i)
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{
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shm_mq *mq;
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mq = shm_mq_create(tqueuespace + i * PARALLEL_TUPLE_QUEUE_SIZE,
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(Size) PARALLEL_TUPLE_QUEUE_SIZE);
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shm_mq_set_receiver(mq, MyProc);
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responseq[i] = shm_mq_attach(mq, pcxt->seg, NULL);
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}
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/* Add array of queues to shm_toc, so others can find it. */
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shm_toc_insert(pcxt->toc, PARALLEL_KEY_TUPLE_QUEUE, tqueuespace);
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/* Return array of handles. */
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return responseq;
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}
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/*
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* Sets up the required infrastructure for backend workers to perform
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* execution and return results to the main backend.
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*/
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ParallelExecutorInfo *
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ExecInitParallelPlan(PlanState *planstate, EState *estate, int nworkers)
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{
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ParallelExecutorInfo *pei;
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ParallelContext *pcxt;
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ExecParallelEstimateContext e;
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ExecParallelInitializeDSMContext d;
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char *pstmt_data;
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char *pstmt_space;
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char *param_space;
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BufferUsage *bufusage_space;
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SharedExecutorInstrumentation *instrumentation = NULL;
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int pstmt_len;
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int param_len;
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int instrumentation_len = 0;
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/* Allocate object for return value. */
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pei = palloc0(sizeof(ParallelExecutorInfo));
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pei->planstate = planstate;
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/* Fix up and serialize plan to be sent to workers. */
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pstmt_data = ExecSerializePlan(planstate->plan, estate);
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/* Create a parallel context. */
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pcxt = CreateParallelContext(ParallelQueryMain, nworkers);
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pei->pcxt = pcxt;
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/*
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* Before telling the parallel context to create a dynamic shared memory
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* segment, we need to figure out how big it should be. Estimate space
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* for the various things we need to store.
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*/
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/* Estimate space for serialized PlannedStmt. */
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pstmt_len = strlen(pstmt_data) + 1;
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shm_toc_estimate_chunk(&pcxt->estimator, pstmt_len);
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shm_toc_estimate_keys(&pcxt->estimator, 1);
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/* Estimate space for serialized ParamListInfo. */
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param_len = EstimateParamListSpace(estate->es_param_list_info);
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shm_toc_estimate_chunk(&pcxt->estimator, param_len);
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shm_toc_estimate_keys(&pcxt->estimator, 1);
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/*
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* Estimate space for BufferUsage.
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*
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* If EXPLAIN is not in use and there are no extensions loaded that care,
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* we could skip this. But we have no way of knowing whether anyone's
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* looking at pgBufferUsage, so do it unconditionally.
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*/
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shm_toc_estimate_chunk(&pcxt->estimator,
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sizeof(BufferUsage) * pcxt->nworkers);
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shm_toc_estimate_keys(&pcxt->estimator, 1);
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/* Estimate space for tuple queues. */
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shm_toc_estimate_chunk(&pcxt->estimator,
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PARALLEL_TUPLE_QUEUE_SIZE * pcxt->nworkers);
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shm_toc_estimate_keys(&pcxt->estimator, 1);
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/*
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* Give parallel-aware nodes a chance to add to the estimates, and get
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* a count of how many PlanState nodes there are.
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*/
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e.pcxt = pcxt;
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e.nnodes = 0;
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ExecParallelEstimate(planstate, &e);
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/* Estimate space for instrumentation, if required. */
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if (estate->es_instrument)
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{
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instrumentation_len =
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offsetof(SharedExecutorInstrumentation, ps_instrument)
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+ sizeof(SharedPlanStateInstrumentation) * e.nnodes;
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shm_toc_estimate_chunk(&pcxt->estimator, instrumentation_len);
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shm_toc_estimate_keys(&pcxt->estimator, 1);
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}
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/* Everyone's had a chance to ask for space, so now create the DSM. */
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InitializeParallelDSM(pcxt);
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/*
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* OK, now we have a dynamic shared memory segment, and it should be big
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* enough to store all of the data we estimated we would want to put into
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* it, plus whatever general stuff (not specifically executor-related) the
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* ParallelContext itself needs to store there. None of the space we
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* asked for has been allocated or initialized yet, though, so do that.
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*/
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/* Store serialized PlannedStmt. */
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pstmt_space = shm_toc_allocate(pcxt->toc, pstmt_len);
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memcpy(pstmt_space, pstmt_data, pstmt_len);
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shm_toc_insert(pcxt->toc, PARALLEL_KEY_PLANNEDSTMT, pstmt_space);
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/* Store serialized ParamListInfo. */
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param_space = shm_toc_allocate(pcxt->toc, param_len);
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shm_toc_insert(pcxt->toc, PARALLEL_KEY_PARAMS, param_space);
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SerializeParamList(estate->es_param_list_info, ¶m_space);
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/* Allocate space for each worker's BufferUsage; no need to initialize. */
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bufusage_space = shm_toc_allocate(pcxt->toc,
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sizeof(BufferUsage) * pcxt->nworkers);
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shm_toc_insert(pcxt->toc, PARALLEL_KEY_BUFFER_USAGE, bufusage_space);
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pei->buffer_usage = bufusage_space;
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/* Set up tuple queues. */
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pei->tqueue = ExecParallelSetupTupleQueues(pcxt);
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/*
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* If instrumentation options were supplied, allocate space for the
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* data. It only gets partially initialized here; the rest happens
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* during ExecParallelInitializeDSM.
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*/
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if (estate->es_instrument)
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{
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instrumentation = shm_toc_allocate(pcxt->toc, instrumentation_len);
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instrumentation->instrument_options = estate->es_instrument;
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instrumentation->ps_ninstrument = e.nnodes;
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shm_toc_insert(pcxt->toc, PARALLEL_KEY_INSTRUMENTATION,
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instrumentation);
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pei->instrumentation = instrumentation;
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}
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/*
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* Give parallel-aware nodes a chance to initialize their shared data.
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* This also initializes the elements of instrumentation->ps_instrument,
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* if it exists.
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*/
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d.pcxt = pcxt;
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d.instrumentation = instrumentation;
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d.nnodes = 0;
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ExecParallelInitializeDSM(planstate, &d);
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/*
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* Make sure that the world hasn't shifted under our feat. This could
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* probably just be an Assert(), but let's be conservative for now.
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*/
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if (e.nnodes != d.nnodes)
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elog(ERROR, "inconsistent count of PlanState nodes");
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/* OK, we're ready to rock and roll. */
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return pei;
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}
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/*
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* Copy instrumentation information about this node and its descendents from
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* dynamic shared memory.
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*/
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static bool
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ExecParallelRetrieveInstrumentation(PlanState *planstate,
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SharedExecutorInstrumentation *instrumentation)
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{
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int i;
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int plan_node_id = planstate->plan->plan_node_id;
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SharedPlanStateInstrumentation *ps_instrument;
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/* Find the instumentation for this node. */
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for (i = 0; i < instrumentation->ps_ninstrument; ++i)
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if (instrumentation->ps_instrument[i].plan_node_id == plan_node_id)
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break;
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if (i >= instrumentation->ps_ninstrument)
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elog(ERROR, "plan node %d not found", plan_node_id);
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/* No need to acquire the spinlock here; workers have exited already. */
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ps_instrument = &instrumentation->ps_instrument[i];
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InstrAggNode(planstate->instrument, &ps_instrument->instr);
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return planstate_tree_walker(planstate, ExecParallelRetrieveInstrumentation,
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instrumentation);
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}
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/*
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* Finish parallel execution. We wait for parallel workers to finish, and
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* accumulate their buffer usage and instrumentation.
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*/
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void
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ExecParallelFinish(ParallelExecutorInfo *pei)
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{
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int i;
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/* First, wait for the workers to finish. */
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WaitForParallelWorkersToFinish(pei->pcxt);
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/* Next, accumulate buffer usage. */
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for (i = 0; i < pei->pcxt->nworkers; ++i)
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InstrAccumParallelQuery(&pei->buffer_usage[i]);
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/* Finally, accumulate instrumentation, if any. */
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if (pei->instrumentation)
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ExecParallelRetrieveInstrumentation(pei->planstate,
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pei->instrumentation);
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}
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/*
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* Create a DestReceiver to write tuples we produce to the shm_mq designated
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* for that purpose.
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*/
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static DestReceiver *
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ExecParallelGetReceiver(dsm_segment *seg, shm_toc *toc)
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{
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char *mqspace;
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shm_mq *mq;
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mqspace = shm_toc_lookup(toc, PARALLEL_KEY_TUPLE_QUEUE);
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mqspace += ParallelWorkerNumber * PARALLEL_TUPLE_QUEUE_SIZE;
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mq = (shm_mq *) mqspace;
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shm_mq_set_sender(mq, MyProc);
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return CreateTupleQueueDestReceiver(shm_mq_attach(mq, seg, NULL));
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}
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/*
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* Create a QueryDesc for the PlannedStmt we are to execute, and return it.
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*/
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static QueryDesc *
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ExecParallelGetQueryDesc(shm_toc *toc, DestReceiver *receiver,
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int instrument_options)
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{
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char *pstmtspace;
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char *paramspace;
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PlannedStmt *pstmt;
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ParamListInfo paramLI;
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/* Reconstruct leader-supplied PlannedStmt. */
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pstmtspace = shm_toc_lookup(toc, PARALLEL_KEY_PLANNEDSTMT);
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pstmt = (PlannedStmt *) stringToNode(pstmtspace);
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/* Reconstruct ParamListInfo. */
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paramspace = shm_toc_lookup(toc, PARALLEL_KEY_PARAMS);
|
|
paramLI = RestoreParamList(¶mspace);
|
|
|
|
/*
|
|
* Create a QueryDesc for the query.
|
|
*
|
|
* It's not obvious how to obtain the query string from here; and even if
|
|
* we could copying it would take more cycles than not copying it. But
|
|
* it's a bit unsatisfying to just use a dummy string here, so consider
|
|
* revising this someday.
|
|
*/
|
|
return CreateQueryDesc(pstmt,
|
|
"<parallel query>",
|
|
GetActiveSnapshot(), InvalidSnapshot,
|
|
receiver, paramLI, instrument_options);
|
|
}
|
|
|
|
/*
|
|
* Copy instrumentation information from this node and its descendents into
|
|
* dynamic shared memory, so that the parallel leader can retrieve it.
|
|
*/
|
|
static bool
|
|
ExecParallelReportInstrumentation(PlanState *planstate,
|
|
SharedExecutorInstrumentation *instrumentation)
|
|
{
|
|
int i;
|
|
int plan_node_id = planstate->plan->plan_node_id;
|
|
SharedPlanStateInstrumentation *ps_instrument;
|
|
|
|
/*
|
|
* If we shuffled the plan_node_id values in ps_instrument into sorted
|
|
* order, we could use binary search here. This might matter someday
|
|
* if we're pushing down sufficiently large plan trees. For now, do it
|
|
* the slow, dumb way.
|
|
*/
|
|
for (i = 0; i < instrumentation->ps_ninstrument; ++i)
|
|
if (instrumentation->ps_instrument[i].plan_node_id == plan_node_id)
|
|
break;
|
|
if (i >= instrumentation->ps_ninstrument)
|
|
elog(ERROR, "plan node %d not found", plan_node_id);
|
|
|
|
/*
|
|
* There's one SharedPlanStateInstrumentation per plan_node_id, so we
|
|
* must use a spinlock in case multiple workers report at the same time.
|
|
*/
|
|
ps_instrument = &instrumentation->ps_instrument[i];
|
|
SpinLockAcquire(&ps_instrument->mutex);
|
|
InstrAggNode(&ps_instrument->instr, planstate->instrument);
|
|
SpinLockRelease(&ps_instrument->mutex);
|
|
|
|
return planstate_tree_walker(planstate, ExecParallelReportInstrumentation,
|
|
instrumentation);
|
|
}
|
|
|
|
/*
|
|
* Main entrypoint for parallel query worker processes.
|
|
*
|
|
* We reach this function from ParallelMain, so the setup necessary to create
|
|
* a sensible parallel environment has already been done; ParallelMain worries
|
|
* about stuff like the transaction state, combo CID mappings, and GUC values,
|
|
* so we don't need to deal with any of that here.
|
|
*
|
|
* Our job is to deal with concerns specific to the executor. The parallel
|
|
* group leader will have stored a serialized PlannedStmt, and it's our job
|
|
* to execute that plan and write the resulting tuples to the appropriate
|
|
* tuple queue. Various bits of supporting information that we need in order
|
|
* to do this are also stored in the dsm_segment and can be accessed through
|
|
* the shm_toc.
|
|
*/
|
|
static void
|
|
ParallelQueryMain(dsm_segment *seg, shm_toc *toc)
|
|
{
|
|
BufferUsage *buffer_usage;
|
|
DestReceiver *receiver;
|
|
QueryDesc *queryDesc;
|
|
SharedExecutorInstrumentation *instrumentation;
|
|
int instrument_options = 0;
|
|
|
|
/* Set up DestReceiver, SharedExecutorInstrumentation, and QueryDesc. */
|
|
receiver = ExecParallelGetReceiver(seg, toc);
|
|
instrumentation = shm_toc_lookup(toc, PARALLEL_KEY_INSTRUMENTATION);
|
|
if (instrumentation != NULL)
|
|
instrument_options = instrumentation->instrument_options;
|
|
queryDesc = ExecParallelGetQueryDesc(toc, receiver, instrument_options);
|
|
|
|
/* Prepare to track buffer usage during query execution. */
|
|
InstrStartParallelQuery();
|
|
|
|
/* Start up the executor, have it run the plan, and then shut it down. */
|
|
ExecutorStart(queryDesc, 0);
|
|
ExecutorRun(queryDesc, ForwardScanDirection, 0L);
|
|
ExecutorFinish(queryDesc);
|
|
|
|
/* Report buffer usage during parallel execution. */
|
|
buffer_usage = shm_toc_lookup(toc, PARALLEL_KEY_BUFFER_USAGE);
|
|
InstrEndParallelQuery(&buffer_usage[ParallelWorkerNumber]);
|
|
|
|
/* Report instrumentation data if any instrumentation options are set. */
|
|
if (instrumentation != NULL)
|
|
ExecParallelReportInstrumentation(queryDesc->planstate,
|
|
instrumentation);
|
|
|
|
/* Must do this after capturing instrumentation. */
|
|
ExecutorEnd(queryDesc);
|
|
|
|
/* Cleanup. */
|
|
FreeQueryDesc(queryDesc);
|
|
(*receiver->rDestroy) (receiver);
|
|
}
|