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authorRobert Haas <rhaas@postgresql.org>2015-09-28 21:55:57 -0400
committerRobert Haas <rhaas@postgresql.org>2015-09-28 21:55:57 -0400
commitd1b7c1ffe72e86932b5395f29e006c3f503bc53d (patch)
tree9758eda06ae19401beef3c74373ecb076e9f9238 /src/backend/executor/execParallel.c
parent0557dc276f1022965f72dc8bcfc820dfd83a7dc2 (diff)
downloadpostgresql-d1b7c1ffe72e86932b5395f29e006c3f503bc53d.tar.gz
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Parallel executor support.
This code provides infrastructure for a parallel leader to start up parallel workers to execute subtrees of the plan tree being executed in the master. User-supplied parameters from ParamListInfo are passed down, but PARAM_EXEC parameters are not. Various other constructs, such as initplans, subplans, and CTEs, are also not currently shared. Nevertheless, there's enough here to support a basic implementation of parallel query, and we can lift some of the current restrictions as needed. Amit Kapila and Robert Haas
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+/*-------------------------------------------------------------------------
+ *
+ * execParallel.c
+ * Support routines for parallel execution.
+ *
+ * Portions Copyright (c) 1996-2015, PostgreSQL Global Development Group
+ * Portions Copyright (c) 1994, Regents of the University of California
+ *
+ *
+ * IDENTIFICATION
+ * src/backend/executor/execParallel.c
+ *
+ *-------------------------------------------------------------------------
+ */
+
+#include "postgres.h"
+
+#include "executor/execParallel.h"
+#include "executor/executor.h"
+#include "executor/tqueue.h"
+#include "nodes/nodeFuncs.h"
+#include "optimizer/planmain.h"
+#include "optimizer/planner.h"
+#include "storage/spin.h"
+#include "tcop/tcopprot.h"
+#include "utils/memutils.h"
+#include "utils/snapmgr.h"
+
+/*
+ * Magic numbers for parallel executor communication. We use constants
+ * greater than any 32-bit integer here so that values < 2^32 can be used
+ * by individual parallel nodes to store their own state.
+ */
+#define PARALLEL_KEY_PLANNEDSTMT UINT64CONST(0xE000000000000001)
+#define PARALLEL_KEY_PARAMS UINT64CONST(0xE000000000000002)
+#define PARALLEL_KEY_BUFFER_USAGE UINT64CONST(0xE000000000000003)
+#define PARALLEL_KEY_TUPLE_QUEUE UINT64CONST(0xE000000000000004)
+#define PARALLEL_KEY_INSTRUMENTATION UINT64CONST(0xE000000000000005)
+
+#define PARALLEL_TUPLE_QUEUE_SIZE 65536
+
+/* DSM structure for accumulating per-PlanState instrumentation. */
+typedef struct SharedPlanStateInstrumentation
+{
+ int plan_node_id;
+ slock_t mutex;
+ Instrumentation instr;
+} SharedPlanStateInstrumentation;
+
+/* DSM structure for accumulating per-PlanState instrumentation. */
+struct SharedExecutorInstrumentation
+{
+ int instrument_options;
+ int ps_ninstrument; /* # of ps_instrument structures following */
+ SharedPlanStateInstrumentation ps_instrument[FLEXIBLE_ARRAY_MEMBER];
+};
+
+/* Context object for ExecParallelEstimate. */
+typedef struct ExecParallelEstimateContext
+{
+ ParallelContext *pcxt;
+ int nnodes;
+} ExecParallelEstimateContext;
+
+/* Context object for ExecParallelEstimate. */
+typedef struct ExecParallelInitializeDSMContext
+{
+ ParallelContext *pcxt;
+ SharedExecutorInstrumentation *instrumentation;
+ int nnodes;
+} ExecParallelInitializeDSMContext;
+
+/* Helper functions that run in the parallel leader. */
+static char *ExecSerializePlan(Plan *plan, List *rangetable);
+static bool ExecParallelEstimate(PlanState *node,
+ ExecParallelEstimateContext *e);
+static bool ExecParallelInitializeDSM(PlanState *node,
+ ExecParallelInitializeDSMContext *d);
+static shm_mq_handle **ExecParallelSetupTupleQueues(ParallelContext *pcxt);
+static bool ExecParallelRetrieveInstrumentation(PlanState *planstate,
+ SharedExecutorInstrumentation *instrumentation);
+
+/* Helper functions that run in the parallel worker. */
+static void ParallelQueryMain(dsm_segment *seg, shm_toc *toc);
+static DestReceiver *ExecParallelGetReceiver(dsm_segment *seg, shm_toc *toc);
+
+/*
+ * Create a serialized representation of the plan to be sent to each worker.
+ */
+static char *
+ExecSerializePlan(Plan *plan, List *rangetable)
+{
+ PlannedStmt *pstmt;
+ ListCell *tlist;
+
+ /* We can't scribble on the original plan, so make a copy. */
+ plan = copyObject(plan);
+
+ /*
+ * The worker will start its own copy of the executor, and that copy will
+ * insert a junk filter if the toplevel node has any resjunk entries. We
+ * don't want that to happen, because while resjunk columns shouldn't be
+ * sent back to the user, here the tuples are coming back to another
+ * backend which may very well need them. So mutate the target list
+ * accordingly. This is sort of a hack; there might be better ways to do
+ * this...
+ */
+ foreach(tlist, plan->targetlist)
+ {
+ TargetEntry *tle = (TargetEntry *) lfirst(tlist);
+
+ tle->resjunk = false;
+ }
+
+ /*
+ * Create a dummy PlannedStmt. Most of the fields don't need to be valid
+ * for our purposes, but the worker will need at least a minimal
+ * PlannedStmt to start the executor.
+ */
+ pstmt = makeNode(PlannedStmt);
+ pstmt->commandType = CMD_SELECT;
+ pstmt->queryId = 0;
+ pstmt->hasReturning = 0;
+ pstmt->hasModifyingCTE = 0;
+ pstmt->canSetTag = 1;
+ pstmt->transientPlan = 0;
+ pstmt->planTree = plan;
+ pstmt->rtable = rangetable;
+ pstmt->resultRelations = NIL;
+ pstmt->utilityStmt = NULL;
+ pstmt->subplans = NIL;
+ pstmt->rewindPlanIDs = NULL;
+ pstmt->rowMarks = NIL;
+ pstmt->nParamExec = 0;
+ pstmt->relationOids = NIL;
+ pstmt->invalItems = NIL; /* workers can't replan anyway... */
+ pstmt->hasRowSecurity = false;
+
+ /* Return serialized copy of our dummy PlannedStmt. */
+ return nodeToString(pstmt);
+}
+
+/*
+ * Ordinary plan nodes won't do anything here, but parallel-aware plan nodes
+ * may need some state which is shared across all parallel workers. Before
+ * we size the DSM, give them a chance to call shm_toc_estimate_chunk or
+ * shm_toc_estimate_keys on &pcxt->estimator.
+ *
+ * While we're at it, count the number of PlanState nodes in the tree, so
+ * we know how many SharedPlanStateInstrumentation structures we need.
+ */
+static bool
+ExecParallelEstimate(PlanState *planstate, ExecParallelEstimateContext *e)
+{
+ if (planstate == NULL)
+ return false;
+
+ /* Count this node. */
+ e->nnodes++;
+
+ /*
+ * XXX. Call estimators for parallel-aware nodes here, when we have
+ * some.
+ */
+
+ return planstate_tree_walker(planstate, ExecParallelEstimate, e);
+}
+
+/*
+ * Ordinary plan nodes won't do anything here, but parallel-aware plan nodes
+ * may need to initialize shared state in the DSM before parallel workers
+ * are available. They can allocate the space they previous estimated using
+ * shm_toc_allocate, and add the keys they previously estimated using
+ * shm_toc_insert, in each case targeting pcxt->toc.
+ */
+static bool
+ExecParallelInitializeDSM(PlanState *planstate,
+ ExecParallelInitializeDSMContext *d)
+{
+ if (planstate == NULL)
+ return false;
+
+ /* If instrumentation is enabled, initialize array slot for this node. */
+ if (d->instrumentation != NULL)
+ {
+ SharedPlanStateInstrumentation *instrumentation;
+
+ instrumentation = &d->instrumentation->ps_instrument[d->nnodes];
+ Assert(d->nnodes < d->instrumentation->ps_ninstrument);
+ instrumentation->plan_node_id = planstate->plan->plan_node_id;
+ SpinLockInit(&instrumentation->mutex);
+ InstrInit(&instrumentation->instr,
+ d->instrumentation->instrument_options);
+ }
+
+ /* Count this node. */
+ d->nnodes++;
+
+ /*
+ * XXX. Call initializers for parallel-aware plan nodes, when we have
+ * some.
+ */
+
+ return planstate_tree_walker(planstate, ExecParallelInitializeDSM, d);
+}
+
+/*
+ * It sets up the response queues for backend workers to return tuples
+ * to the main backend and start the workers.
+ */
+static shm_mq_handle **
+ExecParallelSetupTupleQueues(ParallelContext *pcxt)
+{
+ shm_mq_handle **responseq;
+ char *tqueuespace;
+ int i;
+
+ /* Skip this if no workers. */
+ if (pcxt->nworkers == 0)
+ return NULL;
+
+ /* Allocate memory for shared memory queue handles. */
+ responseq = (shm_mq_handle **)
+ palloc(pcxt->nworkers * sizeof(shm_mq_handle *));
+
+ /* Allocate space from the DSM for the queues themselves. */
+ tqueuespace = shm_toc_allocate(pcxt->toc,
+ PARALLEL_TUPLE_QUEUE_SIZE * pcxt->nworkers);
+
+ /* Create the queues, and become the receiver for each. */
+ for (i = 0; i < pcxt->nworkers; ++i)
+ {
+ shm_mq *mq;
+
+ mq = shm_mq_create(tqueuespace + i * PARALLEL_TUPLE_QUEUE_SIZE,
+ (Size) PARALLEL_TUPLE_QUEUE_SIZE);
+
+ shm_mq_set_receiver(mq, MyProc);
+ responseq[i] = shm_mq_attach(mq, pcxt->seg, NULL);
+ }
+
+ /* Add array of queues to shm_toc, so others can find it. */
+ shm_toc_insert(pcxt->toc, PARALLEL_KEY_TUPLE_QUEUE, tqueuespace);
+
+ /* Return array of handles. */
+ return responseq;
+}
+
+/*
+ * Sets up the required infrastructure for backend workers to perform
+ * execution and return results to the main backend.
+ */
+ParallelExecutorInfo *
+ExecInitParallelPlan(PlanState *planstate, EState *estate, int nworkers)
+{
+ ParallelExecutorInfo *pei;
+ ParallelContext *pcxt;
+ ExecParallelEstimateContext e;
+ ExecParallelInitializeDSMContext d;
+ char *pstmt_data;
+ char *pstmt_space;
+ char *param_space;
+ BufferUsage *bufusage_space;
+ SharedExecutorInstrumentation *instrumentation = NULL;
+ int pstmt_len;
+ int param_len;
+ int instrumentation_len = 0;
+
+ /* Allocate object for return value. */
+ pei = palloc0(sizeof(ParallelExecutorInfo));
+ pei->planstate = planstate;
+
+ /* Fix up and serialize plan to be sent to workers. */
+ pstmt_data = ExecSerializePlan(planstate->plan, estate->es_range_table);
+
+ /* Create a parallel context. */
+ pcxt = CreateParallelContext(ParallelQueryMain, nworkers);
+ pei->pcxt = pcxt;
+
+ /*
+ * Before telling the parallel context to create a dynamic shared memory
+ * segment, we need to figure out how big it should be. Estimate space
+ * for the various things we need to store.
+ */
+
+ /* Estimate space for serialized PlannedStmt. */
+ pstmt_len = strlen(pstmt_data) + 1;
+ shm_toc_estimate_chunk(&pcxt->estimator, pstmt_len);
+ shm_toc_estimate_keys(&pcxt->estimator, 1);
+
+ /* Estimate space for serialized ParamListInfo. */
+ param_len = EstimateParamListSpace(estate->es_param_list_info);
+ shm_toc_estimate_chunk(&pcxt->estimator, param_len);
+ shm_toc_estimate_keys(&pcxt->estimator, 1);
+
+ /*
+ * Estimate space for BufferUsage.
+ *
+ * If EXPLAIN is not in use and there are no extensions loaded that care,
+ * we could skip this. But we have no way of knowing whether anyone's
+ * looking at pgBufferUsage, so do it unconditionally.
+ */
+ shm_toc_estimate_chunk(&pcxt->estimator,
+ sizeof(BufferUsage) * pcxt->nworkers);
+ shm_toc_estimate_keys(&pcxt->estimator, 1);
+
+ /* Estimate space for tuple queues. */
+ shm_toc_estimate_chunk(&pcxt->estimator,
+ PARALLEL_TUPLE_QUEUE_SIZE * pcxt->nworkers);
+ shm_toc_estimate_keys(&pcxt->estimator, 1);
+
+ /*
+ * Give parallel-aware nodes a chance to add to the estimates, and get
+ * a count of how many PlanState nodes there are.
+ */
+ e.pcxt = pcxt;
+ e.nnodes = 0;
+ ExecParallelEstimate(planstate, &e);
+
+ /* Estimate space for instrumentation, if required. */
+ if (estate->es_instrument)
+ {
+ instrumentation_len =
+ offsetof(SharedExecutorInstrumentation, ps_instrument)
+ + sizeof(SharedPlanStateInstrumentation) * e.nnodes;
+ shm_toc_estimate_chunk(&pcxt->estimator, instrumentation_len);
+ shm_toc_estimate_keys(&pcxt->estimator, 1);
+ }
+
+ /* Everyone's had a chance to ask for space, so now create the DSM. */
+ InitializeParallelDSM(pcxt);
+
+ /*
+ * OK, now we have a dynamic shared memory segment, and it should be big
+ * enough to store all of the data we estimated we would want to put into
+ * it, plus whatever general stuff (not specifically executor-related) the
+ * ParallelContext itself needs to store there. None of the space we
+ * asked for has been allocated or initialized yet, though, so do that.
+ */
+
+ /* Store serialized PlannedStmt. */
+ pstmt_space = shm_toc_allocate(pcxt->toc, pstmt_len);
+ memcpy(pstmt_space, pstmt_data, pstmt_len);
+ shm_toc_insert(pcxt->toc, PARALLEL_KEY_PLANNEDSTMT, pstmt_space);
+
+ /* Store serialized ParamListInfo. */
+ param_space = shm_toc_allocate(pcxt->toc, param_len);
+ shm_toc_insert(pcxt->toc, PARALLEL_KEY_PARAMS, param_space);
+ SerializeParamList(estate->es_param_list_info, &param_space);
+
+ /* Allocate space for each worker's BufferUsage; no need to initialize. */
+ bufusage_space = shm_toc_allocate(pcxt->toc,
+ sizeof(BufferUsage) * pcxt->nworkers);
+ shm_toc_insert(pcxt->toc, PARALLEL_KEY_BUFFER_USAGE, bufusage_space);
+ pei->buffer_usage = bufusage_space;
+
+ /* Set up tuple queues. */
+ pei->tqueue = ExecParallelSetupTupleQueues(pcxt);
+
+ /*
+ * If instrumentation options were supplied, allocate space for the
+ * data. It only gets partially initialized here; the rest happens
+ * during ExecParallelInitializeDSM.
+ */
+ if (estate->es_instrument)
+ {
+ instrumentation = shm_toc_allocate(pcxt->toc, instrumentation_len);
+ instrumentation->instrument_options = estate->es_instrument;
+ instrumentation->ps_ninstrument = e.nnodes;
+ shm_toc_insert(pcxt->toc, PARALLEL_KEY_INSTRUMENTATION,
+ instrumentation);
+ pei->instrumentation = instrumentation;
+ }
+
+ /*
+ * Give parallel-aware nodes a chance to initialize their shared data.
+ * This also initializes the elements of instrumentation->ps_instrument,
+ * if it exists.
+ */
+ d.pcxt = pcxt;
+ d.instrumentation = instrumentation;
+ d.nnodes = 0;
+ ExecParallelInitializeDSM(planstate, &d);
+
+ /*
+ * Make sure that the world hasn't shifted under our feat. This could
+ * probably just be an Assert(), but let's be conservative for now.
+ */
+ if (e.nnodes != d.nnodes)
+ elog(ERROR, "inconsistent count of PlanState nodes");
+
+ /* OK, we're ready to rock and roll. */
+ return pei;
+}
+
+/*
+ * Copy instrumentation information about this node and its descendents from
+ * dynamic shared memory.
+ */
+static bool
+ExecParallelRetrieveInstrumentation(PlanState *planstate,
+ SharedExecutorInstrumentation *instrumentation)
+{
+ int i;
+ int plan_node_id = planstate->plan->plan_node_id;
+ SharedPlanStateInstrumentation *ps_instrument;
+
+ /* Find the instumentation for this node. */
+ 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);
+
+ /* No need to acquire the spinlock here; workers have exited already. */
+ ps_instrument = &instrumentation->ps_instrument[i];
+ InstrAggNode(planstate->instrument, &ps_instrument->instr);
+
+ return planstate_tree_walker(planstate, ExecParallelRetrieveInstrumentation,
+ instrumentation);
+}
+
+/*
+ * Finish parallel execution. We wait for parallel workers to finish, and
+ * accumulate their buffer usage and instrumentation.
+ */
+void
+ExecParallelFinish(ParallelExecutorInfo *pei)
+{
+ int i;
+
+ /* First, wait for the workers to finish. */
+ WaitForParallelWorkersToFinish(pei->pcxt);
+
+ /* Next, accumulate buffer usage. */
+ for (i = 0; i < pei->pcxt->nworkers; ++i)
+ InstrAccumParallelQuery(&pei->buffer_usage[i]);
+
+ /* Finally, accumulate instrumentation, if any. */
+ if (pei->instrumentation)
+ ExecParallelRetrieveInstrumentation(pei->planstate,
+ pei->instrumentation);
+}
+
+/*
+ * Create a DestReceiver to write tuples we produce to the shm_mq designated
+ * for that purpose.
+ */
+static DestReceiver *
+ExecParallelGetReceiver(dsm_segment *seg, shm_toc *toc)
+{
+ char *mqspace;
+ shm_mq *mq;
+
+ mqspace = shm_toc_lookup(toc, PARALLEL_KEY_TUPLE_QUEUE);
+ mqspace += ParallelWorkerNumber * PARALLEL_TUPLE_QUEUE_SIZE;
+ mq = (shm_mq *) mqspace;
+ shm_mq_set_sender(mq, MyProc);
+ return CreateTupleQueueDestReceiver(shm_mq_attach(mq, seg, NULL));
+}
+
+/*
+ * Create a QueryDesc for the PlannedStmt we are to execute, and return it.
+ */
+static QueryDesc *
+ExecParallelGetQueryDesc(shm_toc *toc, DestReceiver *receiver,
+ int instrument_options)
+{
+ char *pstmtspace;
+ char *paramspace;
+ PlannedStmt *pstmt;
+ ParamListInfo paramLI;
+
+ /* Reconstruct leader-supplied PlannedStmt. */
+ pstmtspace = shm_toc_lookup(toc, PARALLEL_KEY_PLANNEDSTMT);
+ pstmt = (PlannedStmt *) stringToNode(pstmtspace);
+
+ /* Reconstruct ParamListInfo. */
+ paramspace = shm_toc_lookup(toc, PARALLEL_KEY_PARAMS);
+ paramLI = RestoreParamList(&paramspace);
+
+ /*
+ * 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);
+ ExecutorEnd(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);
+
+ /* Cleanup. */
+ FreeQueryDesc(queryDesc);
+ (*receiver->rDestroy) (receiver);
+}