execParallel.c

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/*-------------------------------------------------------------------------
 *
 * execParallel.c
 *    Support routines for parallel execution.
 *
 * Portions Copyright (c) 1996-2023, PostgreSQL Global Development Group
 * Portions Copyright (c) 1994, Regents of the University of California
 *
 * This file contains routines that are intended to support setting up,
 * using, and tearing down a ParallelContext from within the PostgreSQL
 * executor.  The ParallelContext machinery will handle starting the
 * workers and ensuring that their state generally matches that of the
 * leader; see src/backend/access/transam/README.parallel for details.
 * However, we must save and restore relevant executor state, such as
 * any ParamListInfo associated with the query, buffer/WAL usage info, and
 * the actual plan to be passed down to the worker.
 *
 * IDENTIFICATION
 *    src/backend/executor/execParallel.c
 *
 *-------------------------------------------------------------------------
 */
 
#include "postgres.h"
 
#include "executor/execParallel.h"
#include "executor/executor.h"
#include "executor/nodeAgg.h"
#include "executor/nodeAppend.h"
#include "executor/nodeBitmapHeapscan.h"
#include "executor/nodeCustom.h"
#include "executor/nodeForeignscan.h"
#include "executor/nodeHash.h"
#include "executor/nodeHashjoin.h"
#include "executor/nodeIncrementalSort.h"
#include "executor/nodeIndexonlyscan.h"
#include "executor/nodeIndexscan.h"
#include "executor/nodeMemoize.h"
#include "executor/nodeSeqscan.h"
#include "executor/nodeSort.h"
#include "executor/nodeSubplan.h"
#include "executor/tqueue.h"
#include "jit/jit.h"
#include "nodes/nodeFuncs.h"
#include "pgstat.h"
#include "storage/spin.h"
#include "tcop/tcopprot.h"
#include "utils/datum.h"
#include "utils/dsa.h"
#include "utils/lsyscache.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_EXECUTOR_FIXED     UINT64CONST(0xE000000000000001)
#define PARALLEL_KEY_PLANNEDSTMT        UINT64CONST(0xE000000000000002)
#define PARALLEL_KEY_PARAMLISTINFO      UINT64CONST(0xE000000000000003)
#define PARALLEL_KEY_BUFFER_USAGE       UINT64CONST(0xE000000000000004)
#define PARALLEL_KEY_TUPLE_QUEUE        UINT64CONST(0xE000000000000005)
#define PARALLEL_KEY_INSTRUMENTATION    UINT64CONST(0xE000000000000006)
#define PARALLEL_KEY_DSA                UINT64CONST(0xE000000000000007)
#define PARALLEL_KEY_QUERY_TEXT     UINT64CONST(0xE000000000000008)
#define PARALLEL_KEY_JIT_INSTRUMENTATION UINT64CONST(0xE000000000000009)
#define PARALLEL_KEY_WAL_USAGE          UINT64CONST(0xE00000000000000A)
 
#define PARALLEL_TUPLE_QUEUE_SIZE       65536
 
/*
 * Fixed-size random stuff that we need to pass to parallel workers.
 */
typedef struct FixedParallelExecutorState
{
    int64       tuples_needed;  /* tuple bound, see ExecSetTupleBound */
    dsa_pointer param_exec;
    int         eflags;
    int         jit_flags;
} FixedParallelExecutorState;
 
/*
 * DSM structure for accumulating per-PlanState instrumentation.
 *
 * instrument_options: Same meaning here as in instrument.c.
 *
 * instrument_offset: Offset, relative to the start of this structure,
 * of the first Instrumentation object.  This will depend on the length of
 * the plan_node_id array.
 *
 * num_workers: Number of workers.
 *
 * num_plan_nodes: Number of plan nodes.
 *
 * plan_node_id: Array of plan nodes for which we are gathering instrumentation
 * from parallel workers.  The length of this array is given by num_plan_nodes.
 */
struct SharedExecutorInstrumentation
{
    int         instrument_options;
    int         instrument_offset;
    int         num_workers;
    int         num_plan_nodes;
    int         plan_node_id[FLEXIBLE_ARRAY_MEMBER];
    /* array of num_plan_nodes * num_workers Instrumentation objects follows */
};
#define GetInstrumentationArray(sei) \
    (AssertVariableIsOfTypeMacro(sei, SharedExecutorInstrumentation *), \
     (Instrumentation *) (((char *) sei) + sei->instrument_offset))
 
/* Context object for ExecParallelEstimate. */
typedef struct ExecParallelEstimateContext
{
    ParallelContext *pcxt;
    int         nnodes;
} ExecParallelEstimateContext;
 
/* Context object for ExecParallelInitializeDSM. */
typedef struct ExecParallelInitializeDSMContext
{
    ParallelContext *pcxt;
    SharedExecutorInstrumentation *instrumentation;
    int         nnodes;
} ExecParallelInitializeDSMContext;
 
/* Helper functions that run in the parallel leader. */
static char *ExecSerializePlan(Plan *plan, EState *estate);
static bool ExecParallelEstimate(PlanState *planstate,
                                 ExecParallelEstimateContext *e);
static bool ExecParallelInitializeDSM(PlanState *planstate,
                                      ExecParallelInitializeDSMContext *d);
static shm_mq_handle **ExecParallelSetupTupleQueues(ParallelContext *pcxt,
                                                    bool reinitialize);
static bool ExecParallelReInitializeDSM(PlanState *planstate,
                                        ParallelContext *pcxt);
static bool ExecParallelRetrieveInstrumentation(PlanState *planstate,
                                                SharedExecutorInstrumentation *instrumentation);
 
/* Helper function that runs in the parallel worker. */
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, EState *estate)
{
    PlannedStmt *pstmt;
    ListCell   *lc;
 
    /* 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(lc, plan->targetlist)
    {
        TargetEntry *tle = lfirst_node(TargetEntry, lc);
 
        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 = pgstat_get_my_query_id();
    pstmt->hasReturning = false;
    pstmt->hasModifyingCTE = false;
    pstmt->canSetTag = true;
    pstmt->transientPlan = false;
    pstmt->dependsOnRole = false;
    pstmt->parallelModeNeeded = false;
    pstmt->planTree = plan;
    pstmt->rtable = estate->es_range_table;
    pstmt->permInfos = estate->es_rteperminfos;
    pstmt->resultRelations = NIL;
    pstmt->appendRelations = NIL;
 
    /*
     * Transfer only parallel-safe subplans, leaving a NULL "hole" in the list
     * for unsafe ones (so that the list indexes of the safe ones are
     * preserved).  This positively ensures that the worker won't try to run,
     * or even do ExecInitNode on, an unsafe subplan.  That's important to
     * protect, eg, non-parallel-aware FDWs from getting into trouble.
     */
    pstmt->subplans = NIL;
    foreach(lc, estate->es_plannedstmt->subplans)
    {
        Plan       *subplan = (Plan *) lfirst(lc);
 
        if (subplan && !subplan->parallel_safe)
            subplan = NULL;
        pstmt->subplans = lappend(pstmt->subplans, subplan);
    }
 
    pstmt->rewindPlanIDs = NULL;
    pstmt->rowMarks = NIL;
    pstmt->relationOids = NIL;
    pstmt->invalItems = NIL;    /* workers can't replan anyway... */
    pstmt->paramExecTypes = estate->es_plannedstmt->paramExecTypes;
    pstmt->utilityStmt = NULL;
    pstmt->stmt_location = -1;
    pstmt->stmt_len = -1;
 
    /* Return serialized copy of our dummy PlannedStmt. */
    return nodeToString(pstmt);
}
 
/*
 * Parallel-aware plan nodes (and occasionally others) 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 Instrumentation structures we need.
 */
static bool
ExecParallelEstimate(PlanState *planstate, ExecParallelEstimateContext *e)
{
    if (planstate == NULL)
        return false;
 
    /* Count this node. */
    e->nnodes++;
 
    switch (nodeTag(planstate))
    {
        case T_SeqScanState:
            if (planstate->plan->parallel_aware)
                ExecSeqScanEstimate((SeqScanState *) planstate,
                                    e->pcxt);
            break;
        case T_IndexScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexScanEstimate((IndexScanState *) planstate,
                                      e->pcxt);
            break;
        case T_IndexOnlyScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexOnlyScanEstimate((IndexOnlyScanState *) planstate,
                                          e->pcxt);
            break;
        case T_ForeignScanState:
            if (planstate->plan->parallel_aware)
                ExecForeignScanEstimate((ForeignScanState *) planstate,
                                        e->pcxt);
            break;
        case T_AppendState:
            if (planstate->plan->parallel_aware)
                ExecAppendEstimate((AppendState *) planstate,
                                   e->pcxt);
            break;
        case T_CustomScanState:
            if (planstate->plan->parallel_aware)
                ExecCustomScanEstimate((CustomScanState *) planstate,
                                       e->pcxt);
            break;
        case T_BitmapHeapScanState:
            if (planstate->plan->parallel_aware)
                ExecBitmapHeapEstimate((BitmapHeapScanState *) planstate,
                                       e->pcxt);
            break;
        case T_HashJoinState:
            if (planstate->plan->parallel_aware)
                ExecHashJoinEstimate((HashJoinState *) planstate,
                                     e->pcxt);
            break;
        case T_HashState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecHashEstimate((HashState *) planstate, e->pcxt);
            break;
        case T_SortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecSortEstimate((SortState *) planstate, e->pcxt);
            break;
        case T_IncrementalSortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecIncrementalSortEstimate((IncrementalSortState *) planstate, e->pcxt);
            break;
        case T_AggState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecAggEstimate((AggState *) planstate, e->pcxt);
            break;
        case T_MemoizeState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecMemoizeEstimate((MemoizeState *) planstate, e->pcxt);
            break;
        default:
            break;
    }
 
    return planstate_tree_walker(planstate, ExecParallelEstimate, e);
}
 
/*
 * Estimate the amount of space required to serialize the indicated parameters.
 */
static Size
EstimateParamExecSpace(EState *estate, Bitmapset *params)
{
    int         paramid;
    Size        sz = sizeof(int);
 
    paramid = -1;
    while ((paramid = bms_next_member(params, paramid)) >= 0)
    {
        Oid         typeOid;
        int16       typLen;
        bool        typByVal;
        ParamExecData *prm;
 
        prm = &(estate->es_param_exec_vals[paramid]);
        typeOid = list_nth_oid(estate->es_plannedstmt->paramExecTypes,
                               paramid);
 
        sz = add_size(sz, sizeof(int)); /* space for paramid */
 
        /* space for datum/isnull */
        if (OidIsValid(typeOid))
            get_typlenbyval(typeOid, &typLen, &typByVal);
        else
        {
            /* If no type OID, assume by-value, like copyParamList does. */
            typLen = sizeof(Datum);
            typByVal = true;
        }
        sz = add_size(sz,
                      datumEstimateSpace(prm->value, prm->isnull,
                                         typByVal, typLen));
    }
    return sz;
}
 
/*
 * Serialize specified PARAM_EXEC parameters.
 *
 * We write the number of parameters first, as a 4-byte integer, and then
 * write details for each parameter in turn.  The details for each parameter
 * consist of a 4-byte paramid (location of param in execution time internal
 * parameter array) and then the datum as serialized by datumSerialize().
 */
static dsa_pointer
SerializeParamExecParams(EState *estate, Bitmapset *params, dsa_area *area)
{
    Size        size;
    int         nparams;
    int         paramid;
    ParamExecData *prm;
    dsa_pointer handle;
    char       *start_address;
 
    /* Allocate enough space for the current parameter values. */
    size = EstimateParamExecSpace(estate, params);
    handle = dsa_allocate(area, size);
    start_address = dsa_get_address(area, handle);
 
    /* First write the number of parameters as a 4-byte integer. */
    nparams = bms_num_members(params);
    memcpy(start_address, &nparams, sizeof(int));
    start_address += sizeof(int);
 
    /* Write details for each parameter in turn. */
    paramid = -1;
    while ((paramid = bms_next_member(params, paramid)) >= 0)
    {
        Oid         typeOid;
        int16       typLen;
        bool        typByVal;
 
        prm = &(estate->es_param_exec_vals[paramid]);
        typeOid = list_nth_oid(estate->es_plannedstmt->paramExecTypes,
                               paramid);
 
        /* Write paramid. */
        memcpy(start_address, &paramid, sizeof(int));
        start_address += sizeof(int);
 
        /* Write datum/isnull */
        if (OidIsValid(typeOid))
            get_typlenbyval(typeOid, &typLen, &typByVal);
        else
        {
            /* If no type OID, assume by-value, like copyParamList does. */
            typLen = sizeof(Datum);
            typByVal = true;
        }
        datumSerialize(prm->value, prm->isnull, typByVal, typLen,
                       &start_address);
    }
 
    return handle;
}
 
/*
 * Restore specified PARAM_EXEC parameters.
 */
static void
RestoreParamExecParams(char *start_address, EState *estate)
{
    int         nparams;
    int         i;
    int         paramid;
 
    memcpy(&nparams, start_address, sizeof(int));
    start_address += sizeof(int);
 
    for (i = 0; i < nparams; i++)
    {
        ParamExecData *prm;
 
        /* Read paramid */
        memcpy(&paramid, start_address, sizeof(int));
        start_address += sizeof(int);
        prm = &(estate->es_param_exec_vals[paramid]);
 
        /* Read datum/isnull. */
        prm->value = datumRestore(&start_address, &prm->isnull);
        prm->execPlan = NULL;
    }
}
 
/*
 * Initialize the dynamic shared memory segment that will be used to control
 * parallel execution.
 */
static bool
ExecParallelInitializeDSM(PlanState *planstate,
                          ExecParallelInitializeDSMContext *d)
{
    if (planstate == NULL)
        return false;
 
    /* If instrumentation is enabled, initialize slot for this node. */
    if (d->instrumentation != NULL)
        d->instrumentation->plan_node_id[d->nnodes] =
            planstate->plan->plan_node_id;
 
    /* Count this node. */
    d->nnodes++;
 
    /*
     * Call initializers for DSM-using plan nodes.
     *
     * Most plan nodes won't do anything here, but plan nodes that allocated
     * DSM may need to initialize shared state in the DSM before parallel
     * workers are launched.  They can allocate the space they previously
     * estimated using shm_toc_allocate, and add the keys they previously
     * estimated using shm_toc_insert, in each case targeting pcxt->toc.
     */
    switch (nodeTag(planstate))
    {
        case T_SeqScanState:
            if (planstate->plan->parallel_aware)
                ExecSeqScanInitializeDSM((SeqScanState *) planstate,
                                         d->pcxt);
            break;
        case T_IndexScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexScanInitializeDSM((IndexScanState *) planstate,
                                           d->pcxt);
            break;
        case T_IndexOnlyScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexOnlyScanInitializeDSM((IndexOnlyScanState *) planstate,
                                               d->pcxt);
            break;
        case T_ForeignScanState:
            if (planstate->plan->parallel_aware)
                ExecForeignScanInitializeDSM((ForeignScanState *) planstate,
                                             d->pcxt);
            break;
        case T_AppendState:
            if (planstate->plan->parallel_aware)
                ExecAppendInitializeDSM((AppendState *) planstate,
                                        d->pcxt);
            break;
        case T_CustomScanState:
            if (planstate->plan->parallel_aware)
                ExecCustomScanInitializeDSM((CustomScanState *) planstate,
                                            d->pcxt);
            break;
        case T_BitmapHeapScanState:
            if (planstate->plan->parallel_aware)
                ExecBitmapHeapInitializeDSM((BitmapHeapScanState *) planstate,
                                            d->pcxt);
            break;
        case T_HashJoinState:
            if (planstate->plan->parallel_aware)
                ExecHashJoinInitializeDSM((HashJoinState *) planstate,
                                          d->pcxt);
            break;
        case T_HashState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecHashInitializeDSM((HashState *) planstate, d->pcxt);
            break;
        case T_SortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecSortInitializeDSM((SortState *) planstate, d->pcxt);
            break;
        case T_IncrementalSortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecIncrementalSortInitializeDSM((IncrementalSortState *) planstate, d->pcxt);
            break;
        case T_AggState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecAggInitializeDSM((AggState *) planstate, d->pcxt);
            break;
        case T_MemoizeState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecMemoizeInitializeDSM((MemoizeState *) planstate, d->pcxt);
            break;
        default:
            break;
    }
 
    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, bool reinitialize)
{
    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 *));
 
    /*
     * If not reinitializing, allocate space from the DSM for the queues;
     * otherwise, find the already allocated space.
     */
    if (!reinitialize)
        tqueuespace =
            shm_toc_allocate(pcxt->toc,
                             mul_size(PARALLEL_TUPLE_QUEUE_SIZE,
                                      pcxt->nworkers));
    else
        tqueuespace = shm_toc_lookup(pcxt->toc, PARALLEL_KEY_TUPLE_QUEUE, false);
 
    /* Create the queues, and become the receiver for each. */
    for (i = 0; i < pcxt->nworkers; ++i)
    {
        shm_mq     *mq;
 
        mq = shm_mq_create(tqueuespace +
                           ((Size) 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. */
    if (!reinitialize)
        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,
                     Bitmapset *sendParams, int nworkers,
                     int64 tuples_needed)
{
    ParallelExecutorInfo *pei;
    ParallelContext *pcxt;
    ExecParallelEstimateContext e;
    ExecParallelInitializeDSMContext d;
    FixedParallelExecutorState *fpes;
    char       *pstmt_data;
    char       *pstmt_space;
    char       *paramlistinfo_space;
    BufferUsage *bufusage_space;
    WalUsage   *walusage_space;
    SharedExecutorInstrumentation *instrumentation = NULL;
    SharedJitInstrumentation *jit_instrumentation = NULL;
    int         pstmt_len;
    int         paramlistinfo_len;
    int         instrumentation_len = 0;
    int         jit_instrumentation_len = 0;
    int         instrument_offset = 0;
    Size        dsa_minsize = dsa_minimum_size();
    char       *query_string;
    int         query_len;
 
    /*
     * Force any initplan outputs that we're going to pass to workers to be
     * evaluated, if they weren't already.
     *
     * For simplicity, we use the EState's per-output-tuple ExprContext here.
     * That risks intra-query memory leakage, since we might pass through here
     * many times before that ExprContext gets reset; but ExecSetParamPlan
     * doesn't normally leak any memory in the context (see its comments), so
     * it doesn't seem worth complicating this function's API to pass it a
     * shorter-lived ExprContext.  This might need to change someday.
     */
    ExecSetParamPlanMulti(sendParams, GetPerTupleExprContext(estate));
 
    /* Allocate object for return value. */
    pei = palloc0(sizeof(ParallelExecutorInfo));
    pei->finished = false;
    pei->planstate = planstate;
 
    /* Fix up and serialize plan to be sent to workers. */
    pstmt_data = ExecSerializePlan(planstate->plan, estate);
 
    /* Create a parallel context. */
    pcxt = CreateParallelContext("postgres", "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 fixed-size state. */
    shm_toc_estimate_chunk(&pcxt->estimator,
                           sizeof(FixedParallelExecutorState));
    shm_toc_estimate_keys(&pcxt->estimator, 1);
 
    /* Estimate space for query text. */
    query_len = strlen(estate->es_sourceText);
    shm_toc_estimate_chunk(&pcxt->estimator, query_len + 1);
    shm_toc_estimate_keys(&pcxt->estimator, 1);
 
    /* 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. */
    paramlistinfo_len = EstimateParamListSpace(estate->es_param_list_info);
    shm_toc_estimate_chunk(&pcxt->estimator, paramlistinfo_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,
                           mul_size(sizeof(BufferUsage), pcxt->nworkers));
    shm_toc_estimate_keys(&pcxt->estimator, 1);
 
    /*
     * Same thing for WalUsage.
     */
    shm_toc_estimate_chunk(&pcxt->estimator,
                           mul_size(sizeof(WalUsage), pcxt->nworkers));
    shm_toc_estimate_keys(&pcxt->estimator, 1);
 
    /* Estimate space for tuple queues. */
    shm_toc_estimate_chunk(&pcxt->estimator,
                           mul_size(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, plan_node_id) +
            sizeof(int) * e.nnodes;
        instrumentation_len = MAXALIGN(instrumentation_len);
        instrument_offset = instrumentation_len;
        instrumentation_len +=
            mul_size(sizeof(Instrumentation),
                     mul_size(e.nnodes, nworkers));
        shm_toc_estimate_chunk(&pcxt->estimator, instrumentation_len);
        shm_toc_estimate_keys(&pcxt->estimator, 1);
 
        /* Estimate space for JIT instrumentation, if required. */
        if (estate->es_jit_flags != PGJIT_NONE)
        {
            jit_instrumentation_len =
                offsetof(SharedJitInstrumentation, jit_instr) +
                sizeof(JitInstrumentation) * nworkers;
            shm_toc_estimate_chunk(&pcxt->estimator, jit_instrumentation_len);
            shm_toc_estimate_keys(&pcxt->estimator, 1);
        }
    }
 
    /* Estimate space for DSA area. */
    shm_toc_estimate_chunk(&pcxt->estimator, dsa_minsize);
    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 fixed-size state. */
    fpes = shm_toc_allocate(pcxt->toc, sizeof(FixedParallelExecutorState));
    fpes->tuples_needed = tuples_needed;
    fpes->param_exec = InvalidDsaPointer;
    fpes->eflags = estate->es_top_eflags;
    fpes->jit_flags = estate->es_jit_flags;
    shm_toc_insert(pcxt->toc, PARALLEL_KEY_EXECUTOR_FIXED, fpes);
 
    /* Store query string */
    query_string = shm_toc_allocate(pcxt->toc, query_len + 1);
    memcpy(query_string, estate->es_sourceText, query_len + 1);
    shm_toc_insert(pcxt->toc, PARALLEL_KEY_QUERY_TEXT, query_string);
 
    /* 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. */
    paramlistinfo_space = shm_toc_allocate(pcxt->toc, paramlistinfo_len);
    shm_toc_insert(pcxt->toc, PARALLEL_KEY_PARAMLISTINFO, paramlistinfo_space);
    SerializeParamList(estate->es_param_list_info, &paramlistinfo_space);
 
    /* Allocate space for each worker's BufferUsage; no need to initialize. */
    bufusage_space = shm_toc_allocate(pcxt->toc,
                                      mul_size(sizeof(BufferUsage), pcxt->nworkers));
    shm_toc_insert(pcxt->toc, PARALLEL_KEY_BUFFER_USAGE, bufusage_space);
    pei->buffer_usage = bufusage_space;
 
    /* Same for WalUsage. */
    walusage_space = shm_toc_allocate(pcxt->toc,
                                      mul_size(sizeof(WalUsage), pcxt->nworkers));
    shm_toc_insert(pcxt->toc, PARALLEL_KEY_WAL_USAGE, walusage_space);
    pei->wal_usage = walusage_space;
 
    /* Set up the tuple queues that the workers will write into. */
    pei->tqueue = ExecParallelSetupTupleQueues(pcxt, false);
 
    /* We don't need the TupleQueueReaders yet, though. */
    pei->reader = NULL;
 
    /*
     * 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 *instrument;
        int         i;
 
        instrumentation = shm_toc_allocate(pcxt->toc, instrumentation_len);
        instrumentation->instrument_options = estate->es_instrument;
        instrumentation->instrument_offset = instrument_offset;
        instrumentation->num_workers = nworkers;
        instrumentation->num_plan_nodes = e.nnodes;
        instrument = GetInstrumentationArray(instrumentation);
        for (i = 0; i < nworkers * e.nnodes; ++i)
            InstrInit(&instrument[i], estate->es_instrument);
        shm_toc_insert(pcxt->toc, PARALLEL_KEY_INSTRUMENTATION,
                       instrumentation);
        pei->instrumentation = instrumentation;
 
        if (estate->es_jit_flags != PGJIT_NONE)
        {
            jit_instrumentation = shm_toc_allocate(pcxt->toc,
                                                   jit_instrumentation_len);
            jit_instrumentation->num_workers = nworkers;
            memset(jit_instrumentation->jit_instr, 0,
                   sizeof(JitInstrumentation) * nworkers);
            shm_toc_insert(pcxt->toc, PARALLEL_KEY_JIT_INSTRUMENTATION,
                           jit_instrumentation);
            pei->jit_instrumentation = jit_instrumentation;
        }
    }
 
    /*
     * Create a DSA area that can be used by the leader and all workers.
     * (However, if we failed to create a DSM and are using private memory
     * instead, then skip this.)
     */
    if (pcxt->seg != NULL)
    {
        char       *area_space;
 
        area_space = shm_toc_allocate(pcxt->toc, dsa_minsize);
        shm_toc_insert(pcxt->toc, PARALLEL_KEY_DSA, area_space);
        pei->area = dsa_create_in_place(area_space, dsa_minsize,
                                        LWTRANCHE_PARALLEL_QUERY_DSA,
                                        pcxt->seg);
 
        /*
         * Serialize parameters, if any, using DSA storage.  We don't dare use
         * the main parallel query DSM for this because we might relaunch
         * workers after the values have changed (and thus the amount of
         * storage required has changed).
         */
        if (!bms_is_empty(sendParams))
        {
            pei->param_exec = SerializeParamExecParams(estate, sendParams,
                                                       pei->area);
            fpes->param_exec = pei->param_exec;
        }
    }
 
    /*
     * 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;
 
    /* Install our DSA area while initializing the plan. */
    estate->es_query_dsa = pei->area;
    ExecParallelInitializeDSM(planstate, &d);
    estate->es_query_dsa = NULL;
 
    /*
     * Make sure that the world hasn't shifted under our feet.  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;
}
 
/*
 * Set up tuple queue readers to read the results of a parallel subplan.
 *
 * This is separate from ExecInitParallelPlan() because we can launch the
 * worker processes and let them start doing something before we do this.
 */
void
ExecParallelCreateReaders(ParallelExecutorInfo *pei)
{
    int         nworkers = pei->pcxt->nworkers_launched;
    int         i;
 
    Assert(pei->reader == NULL);
 
    if (nworkers > 0)
    {
        pei->reader = (TupleQueueReader **)
            palloc(nworkers * sizeof(TupleQueueReader *));
 
        for (i = 0; i < nworkers; i++)
        {
            shm_mq_set_handle(pei->tqueue[i],
                              pei->pcxt->worker[i].bgwhandle);
            pei->reader[i] = CreateTupleQueueReader(pei->tqueue[i]);
        }
    }
}
 
/*
 * Re-initialize the parallel executor shared memory state before launching
 * a fresh batch of workers.
 */
void
ExecParallelReinitialize(PlanState *planstate,
                         ParallelExecutorInfo *pei,
                         Bitmapset *sendParams)
{
    EState     *estate = planstate->state;
    FixedParallelExecutorState *fpes;
 
    /* Old workers must already be shut down */
    Assert(pei->finished);
 
    /*
     * Force any initplan outputs that we're going to pass to workers to be
     * evaluated, if they weren't already (see comments in
     * ExecInitParallelPlan).
     */
    ExecSetParamPlanMulti(sendParams, GetPerTupleExprContext(estate));
 
    ReinitializeParallelDSM(pei->pcxt);
    pei->tqueue = ExecParallelSetupTupleQueues(pei->pcxt, true);
    pei->reader = NULL;
    pei->finished = false;
 
    fpes = shm_toc_lookup(pei->pcxt->toc, PARALLEL_KEY_EXECUTOR_FIXED, false);
 
    /* Free any serialized parameters from the last round. */
    if (DsaPointerIsValid(fpes->param_exec))
    {
        dsa_free(pei->area, fpes->param_exec);
        fpes->param_exec = InvalidDsaPointer;
    }
 
    /* Serialize current parameter values if required. */
    if (!bms_is_empty(sendParams))
    {
        pei->param_exec = SerializeParamExecParams(estate, sendParams,
                                                   pei->area);
        fpes->param_exec = pei->param_exec;
    }
 
    /* Traverse plan tree and let each child node reset associated state. */
    estate->es_query_dsa = pei->area;
    ExecParallelReInitializeDSM(planstate, pei->pcxt);
    estate->es_query_dsa = NULL;
}
 
/*
 * Traverse plan tree to reinitialize per-node dynamic shared memory state
 */
static bool
ExecParallelReInitializeDSM(PlanState *planstate,
                            ParallelContext *pcxt)
{
    if (planstate == NULL)
        return false;
 
    /*
     * Call reinitializers for DSM-using plan nodes.
     */
    switch (nodeTag(planstate))
    {
        case T_SeqScanState:
            if (planstate->plan->parallel_aware)
                ExecSeqScanReInitializeDSM((SeqScanState *) planstate,
                                           pcxt);
            break;
        case T_IndexScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexScanReInitializeDSM((IndexScanState *) planstate,
                                             pcxt);
            break;
        case T_IndexOnlyScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexOnlyScanReInitializeDSM((IndexOnlyScanState *) planstate,
                                                 pcxt);
            break;
        case T_ForeignScanState:
            if (planstate->plan->parallel_aware)
                ExecForeignScanReInitializeDSM((ForeignScanState *) planstate,
                                               pcxt);
            break;
        case T_AppendState:
            if (planstate->plan->parallel_aware)
                ExecAppendReInitializeDSM((AppendState *) planstate, pcxt);
            break;
        case T_CustomScanState:
            if (planstate->plan->parallel_aware)
                ExecCustomScanReInitializeDSM((CustomScanState *) planstate,
                                              pcxt);
            break;
        case T_BitmapHeapScanState:
            if (planstate->plan->parallel_aware)
                ExecBitmapHeapReInitializeDSM((BitmapHeapScanState *) planstate,
                                              pcxt);
            break;
        case T_HashJoinState:
            if (planstate->plan->parallel_aware)
                ExecHashJoinReInitializeDSM((HashJoinState *) planstate,
                                            pcxt);
            break;
        case T_HashState:
        case T_SortState:
        case T_IncrementalSortState:
        case T_MemoizeState:
            /* these nodes have DSM state, but no reinitialization is required */
            break;
 
        default:
            break;
    }
 
    return planstate_tree_walker(planstate, ExecParallelReInitializeDSM, pcxt);
}
 
/*
 * Copy instrumentation information about this node and its descendants from
 * dynamic shared memory.
 */
static bool
ExecParallelRetrieveInstrumentation(PlanState *planstate,
                                    SharedExecutorInstrumentation *instrumentation)
{
    Instrumentation *instrument;
    int         i;
    int         n;
    int         ibytes;
    int         plan_node_id = planstate->plan->plan_node_id;
    MemoryContext oldcontext;
 
    /* Find the instrumentation for this node. */
    for (i = 0; i < instrumentation->num_plan_nodes; ++i)
        if (instrumentation->plan_node_id[i] == plan_node_id)
            break;
    if (i >= instrumentation->num_plan_nodes)
        elog(ERROR, "plan node %d not found", plan_node_id);
 
    /* Accumulate the statistics from all workers. */
    instrument = GetInstrumentationArray(instrumentation);
    instrument += i * instrumentation->num_workers;
    for (n = 0; n < instrumentation->num_workers; ++n)
        InstrAggNode(planstate->instrument, &instrument[n]);
 
    /*
     * Also store the per-worker detail.
     *
     * Worker instrumentation should be allocated in the same context as the
     * regular instrumentation information, which is the per-query context.
     * Switch into per-query memory context.
     */
    oldcontext = MemoryContextSwitchTo(planstate->state->es_query_cxt);
    ibytes = mul_size(instrumentation->num_workers, sizeof(Instrumentation));
    planstate->worker_instrument =
        palloc(ibytes + offsetof(WorkerInstrumentation, instrument));
    MemoryContextSwitchTo(oldcontext);
 
    planstate->worker_instrument->num_workers = instrumentation->num_workers;
    memcpy(&planstate->worker_instrument->instrument, instrument, ibytes);
 
    /* Perform any node-type-specific work that needs to be done. */
    switch (nodeTag(planstate))
    {
        case T_SortState:
            ExecSortRetrieveInstrumentation((SortState *) planstate);
            break;
        case T_IncrementalSortState:
            ExecIncrementalSortRetrieveInstrumentation((IncrementalSortState *) planstate);
            break;
        case T_HashState:
            ExecHashRetrieveInstrumentation((HashState *) planstate);
            break;
        case T_AggState:
            ExecAggRetrieveInstrumentation((AggState *) planstate);
            break;
        case T_MemoizeState:
            ExecMemoizeRetrieveInstrumentation((MemoizeState *) planstate);
            break;
        default:
            break;
    }
 
    return planstate_tree_walker(planstate, ExecParallelRetrieveInstrumentation,
                                 instrumentation);
}
 
/*
 * Add up the workers' JIT instrumentation from dynamic shared memory.
 */
static void
ExecParallelRetrieveJitInstrumentation(PlanState *planstate,
                                       SharedJitInstrumentation *shared_jit)
{
    JitInstrumentation *combined;
    int         ibytes;
 
    int         n;
 
    /*
     * Accumulate worker JIT instrumentation into the combined JIT
     * instrumentation, allocating it if required.
     */
    if (!planstate->state->es_jit_worker_instr)
        planstate->state->es_jit_worker_instr =
            MemoryContextAllocZero(planstate->state->es_query_cxt, sizeof(JitInstrumentation));
    combined = planstate->state->es_jit_worker_instr;
 
    /* Accumulate all the workers' instrumentations. */
    for (n = 0; n < shared_jit->num_workers; ++n)
        InstrJitAgg(combined, &shared_jit->jit_instr[n]);
 
    /*
     * Store the per-worker detail.
     *
     * Similar to ExecParallelRetrieveInstrumentation(), allocate the
     * instrumentation in per-query context.
     */
    ibytes = offsetof(SharedJitInstrumentation, jit_instr)
        + mul_size(shared_jit->num_workers, sizeof(JitInstrumentation));
    planstate->worker_jit_instrument =
        MemoryContextAlloc(planstate->state->es_query_cxt, ibytes);
 
    memcpy(planstate->worker_jit_instrument, shared_jit, ibytes);
}
 
/*
 * Finish parallel execution.  We wait for parallel workers to finish, and
 * accumulate their buffer/WAL usage.
 */
void
ExecParallelFinish(ParallelExecutorInfo *pei)
{
    int         nworkers = pei->pcxt->nworkers_launched;
    int         i;
 
    /* Make this be a no-op if called twice in a row. */
    if (pei->finished)
        return;
 
    /*
     * Detach from tuple queues ASAP, so that any still-active workers will
     * notice that no further results are wanted.
     */
    if (pei->tqueue != NULL)
    {
        for (i = 0; i < nworkers; i++)
            shm_mq_detach(pei->tqueue[i]);
        pfree(pei->tqueue);
        pei->tqueue = NULL;
    }
 
    /*
     * While we're waiting for the workers to finish, let's get rid of the
     * tuple queue readers.  (Any other local cleanup could be done here too.)
     */
    if (pei->reader != NULL)
    {
        for (i = 0; i < nworkers; i++)
            DestroyTupleQueueReader(pei->reader[i]);
        pfree(pei->reader);
        pei->reader = NULL;
    }
 
    /* Now wait for the workers to finish. */
    WaitForParallelWorkersToFinish(pei->pcxt);
 
    /*
     * Next, accumulate buffer/WAL usage.  (This must wait for the workers to
     * finish, or we might get incomplete data.)
     */
    for (i = 0; i < nworkers; i++)
        InstrAccumParallelQuery(&pei->buffer_usage[i], &pei->wal_usage[i]);
 
    pei->finished = true;
}
 
/*
 * Accumulate instrumentation, and then clean up whatever ParallelExecutorInfo
 * resources still exist after ExecParallelFinish.  We separate these
 * routines because someone might want to examine the contents of the DSM
 * after ExecParallelFinish and before calling this routine.
 */
void
ExecParallelCleanup(ParallelExecutorInfo *pei)
{
    /* Accumulate instrumentation, if any. */
    if (pei->instrumentation)
        ExecParallelRetrieveInstrumentation(pei->planstate,
                                            pei->instrumentation);
 
    /* Accumulate JIT instrumentation, if any. */
    if (pei->jit_instrumentation)
        ExecParallelRetrieveJitInstrumentation(pei->planstate,
                                               pei->jit_instrumentation);
 
    /* Free any serialized parameters. */
    if (DsaPointerIsValid(pei->param_exec))
    {
        dsa_free(pei->area, pei->param_exec);
        pei->param_exec = InvalidDsaPointer;
    }
    if (pei->area != NULL)
    {
        dsa_detach(pei->area);
        pei->area = NULL;
    }
    if (pei->pcxt != NULL)
    {
        DestroyParallelContext(pei->pcxt);
        pei->pcxt = NULL;
    }
    pfree(pei);
}
 
/*
 * 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, false);
    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;
    char       *queryString;
 
    /* Get the query string from shared memory */
    queryString = shm_toc_lookup(toc, PARALLEL_KEY_QUERY_TEXT, false);
 
    /* Reconstruct leader-supplied PlannedStmt. */
    pstmtspace = shm_toc_lookup(toc, PARALLEL_KEY_PLANNEDSTMT, false);
    pstmt = (PlannedStmt *) stringToNode(pstmtspace);
 
    /* Reconstruct ParamListInfo. */
    paramspace = shm_toc_lookup(toc, PARALLEL_KEY_PARAMLISTINFO, false);
    paramLI = RestoreParamList(&paramspace);
 
    /* Create a QueryDesc for the query. */
    return CreateQueryDesc(pstmt,
                           queryString,
                           GetActiveSnapshot(), InvalidSnapshot,
                           receiver, paramLI, NULL, instrument_options);
}
 
/*
 * Copy instrumentation information from this node and its descendants 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;
    Instrumentation *instrument;
 
    InstrEndLoop(planstate->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->num_plan_nodes; ++i)
        if (instrumentation->plan_node_id[i] == plan_node_id)
            break;
    if (i >= instrumentation->num_plan_nodes)
        elog(ERROR, "plan node %d not found", plan_node_id);
 
    /*
     * Add our statistics to the per-node, per-worker totals.  It's possible
     * that this could happen more than once if we relaunched workers.
     */
    instrument = GetInstrumentationArray(instrumentation);
    instrument += i * instrumentation->num_workers;
    Assert(IsParallelWorker());
    Assert(ParallelWorkerNumber < instrumentation->num_workers);
    InstrAggNode(&instrument[ParallelWorkerNumber], planstate->instrument);
 
    return planstate_tree_walker(planstate, ExecParallelReportInstrumentation,
                                 instrumentation);
}
 
/*
 * Initialize the PlanState and its descendants with the information
 * retrieved from shared memory.  This has to be done once the PlanState
 * is allocated and initialized by executor; that is, after ExecutorStart().
 */
static bool
ExecParallelInitializeWorker(PlanState *planstate, ParallelWorkerContext *pwcxt)
{
    if (planstate == NULL)
        return false;
 
    switch (nodeTag(planstate))
    {
        case T_SeqScanState:
            if (planstate->plan->parallel_aware)
                ExecSeqScanInitializeWorker((SeqScanState *) planstate, pwcxt);
            break;
        case T_IndexScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexScanInitializeWorker((IndexScanState *) planstate,
                                              pwcxt);
            break;
        case T_IndexOnlyScanState:
            if (planstate->plan->parallel_aware)
                ExecIndexOnlyScanInitializeWorker((IndexOnlyScanState *) planstate,
                                                  pwcxt);
            break;
        case T_ForeignScanState:
            if (planstate->plan->parallel_aware)
                ExecForeignScanInitializeWorker((ForeignScanState *) planstate,
                                                pwcxt);
            break;
        case T_AppendState:
            if (planstate->plan->parallel_aware)
                ExecAppendInitializeWorker((AppendState *) planstate, pwcxt);
            break;
        case T_CustomScanState:
            if (planstate->plan->parallel_aware)
                ExecCustomScanInitializeWorker((CustomScanState *) planstate,
                                               pwcxt);
            break;
        case T_BitmapHeapScanState:
            if (planstate->plan->parallel_aware)
                ExecBitmapHeapInitializeWorker((BitmapHeapScanState *) planstate,
                                               pwcxt);
            break;
        case T_HashJoinState:
            if (planstate->plan->parallel_aware)
                ExecHashJoinInitializeWorker((HashJoinState *) planstate,
                                             pwcxt);
            break;
        case T_HashState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecHashInitializeWorker((HashState *) planstate, pwcxt);
            break;
        case T_SortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecSortInitializeWorker((SortState *) planstate, pwcxt);
            break;
        case T_IncrementalSortState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecIncrementalSortInitializeWorker((IncrementalSortState *) planstate,
                                                pwcxt);
            break;
        case T_AggState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecAggInitializeWorker((AggState *) planstate, pwcxt);
            break;
        case T_MemoizeState:
            /* even when not parallel-aware, for EXPLAIN ANALYZE */
            ExecMemoizeInitializeWorker((MemoizeState *) planstate, pwcxt);
            break;
        default:
            break;
    }
 
    return planstate_tree_walker(planstate, ExecParallelInitializeWorker,
                                 pwcxt);
}
 
/*
 * Main entrypoint for parallel query worker processes.
 *
 * We reach this function from ParallelWorkerMain, so the setup necessary to
 * create a sensible parallel environment has already been done;
 * ParallelWorkerMain 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.
 */
void
ParallelQueryMain(dsm_segment *seg, shm_toc *toc)
{
    FixedParallelExecutorState *fpes;
    BufferUsage *buffer_usage;
    WalUsage   *wal_usage;
    DestReceiver *receiver;
    QueryDesc  *queryDesc;
    SharedExecutorInstrumentation *instrumentation;
    SharedJitInstrumentation *jit_instrumentation;
    int         instrument_options = 0;
    void       *area_space;
    dsa_area   *area;
    ParallelWorkerContext pwcxt;
 
    /* Get fixed-size state. */
    fpes = shm_toc_lookup(toc, PARALLEL_KEY_EXECUTOR_FIXED, false);
 
    /* Set up DestReceiver, SharedExecutorInstrumentation, and QueryDesc. */
    receiver = ExecParallelGetReceiver(seg, toc);
    instrumentation = shm_toc_lookup(toc, PARALLEL_KEY_INSTRUMENTATION, true);
    if (instrumentation != NULL)
        instrument_options = instrumentation->instrument_options;
    jit_instrumentation = shm_toc_lookup(toc, PARALLEL_KEY_JIT_INSTRUMENTATION,
                                         true);
    queryDesc = ExecParallelGetQueryDesc(toc, receiver, instrument_options);
 
    /* Setting debug_query_string for individual workers */
    debug_query_string = queryDesc->sourceText;
 
    /* Report workers' query for monitoring purposes */
    pgstat_report_activity(STATE_RUNNING, debug_query_string);
 
    /* Attach to the dynamic shared memory area. */
    area_space = shm_toc_lookup(toc, PARALLEL_KEY_DSA, false);
    area = dsa_attach_in_place(area_space, seg);
 
    /* Start up the executor */
    queryDesc->plannedstmt->jitFlags = fpes->jit_flags;
    ExecutorStart(queryDesc, fpes->eflags);
 
    /* Special executor initialization steps for parallel workers */
    queryDesc->planstate->state->es_query_dsa = area;
    if (DsaPointerIsValid(fpes->param_exec))
    {
        char       *paramexec_space;
 
        paramexec_space = dsa_get_address(area, fpes->param_exec);
        RestoreParamExecParams(paramexec_space, queryDesc->estate);
    }
    pwcxt.toc = toc;
    pwcxt.seg = seg;
    ExecParallelInitializeWorker(queryDesc->planstate, &pwcxt);
 
    /* Pass down any tuple bound */
    ExecSetTupleBound(fpes->tuples_needed, queryDesc->planstate);
 
    /*
     * Prepare to track buffer/WAL usage during query execution.
     *
     * We do this after starting up the executor to match what happens in the
     * leader, which also doesn't count buffer accesses and WAL activity that
     * occur during executor startup.
     */
    InstrStartParallelQuery();
 
    /*
     * Run the plan.  If we specified a tuple bound, be careful not to demand
     * more tuples than that.
     */
    ExecutorRun(queryDesc,
                ForwardScanDirection,
                fpes->tuples_needed < 0 ? (int64) 0 : fpes->tuples_needed,
                true);
 
    /* Shut down the executor */
    ExecutorFinish(queryDesc);
 
    /* Report buffer/WAL usage during parallel execution. */
    buffer_usage = shm_toc_lookup(toc, PARALLEL_KEY_BUFFER_USAGE, false);
    wal_usage = shm_toc_lookup(toc, PARALLEL_KEY_WAL_USAGE, false);
    InstrEndParallelQuery(&buffer_usage[ParallelWorkerNumber],
                          &wal_usage[ParallelWorkerNumber]);
 
    /* Report instrumentation data if any instrumentation options are set. */
    if (instrumentation != NULL)
        ExecParallelReportInstrumentation(queryDesc->planstate,
                                          instrumentation);
 
    /* Report JIT instrumentation data if any */
    if (queryDesc->estate->es_jit && jit_instrumentation != NULL)
    {
        Assert(ParallelWorkerNumber < jit_instrumentation->num_workers);
        jit_instrumentation->jit_instr[ParallelWorkerNumber] =
            queryDesc->estate->es_jit->instr;
    }
 
    /* Must do this after capturing instrumentation. */
    ExecutorEnd(queryDesc);
 
    /* Cleanup. */
    dsa_detach(area);
    FreeQueryDesc(queryDesc);
    receiver->rDestroy(receiver);
}