postgresql/src/backend/executor/nodeGather.c

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/*-------------------------------------------------------------------------
*
* nodeGather.c
* Support routines for scanning a plan via multiple workers.
*
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* Portions Copyright (c) 1996-2017, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
* A Gather executor launches parallel workers to run multiple copies of a
* plan. It can also run the plan itself, if the workers are not available
* or have not started up yet. It then merges all of the results it produces
* and the results from the workers into a single output stream. Therefore,
* it will normally be used with a plan where running multiple copies of the
* same plan does not produce duplicate output, such as parallel-aware
* SeqScan.
*
* Alternatively, a Gather node can be configured to use just one worker
* and the single-copy flag can be set. In this case, the Gather node will
* run the plan in one worker and will not execute the plan itself. In
* this case, it simply returns whatever tuples were returned by the worker.
* If a worker cannot be obtained, then it will run the plan itself and
* return the results. Therefore, a plan used with a single-copy Gather
* node need not be parallel-aware.
*
* IDENTIFICATION
* src/backend/executor/nodeGather.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "access/relscan.h"
#include "access/xact.h"
#include "executor/execdebug.h"
#include "executor/execParallel.h"
#include "executor/nodeGather.h"
#include "executor/nodeSubplan.h"
#include "executor/tqueue.h"
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#include "miscadmin.h"
#include "pgstat.h"
#include "utils/memutils.h"
#include "utils/rel.h"
static TupleTableSlot *gather_getnext(GatherState *gatherstate);
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static HeapTuple gather_readnext(GatherState *gatherstate);
static void ExecShutdownGatherWorkers(GatherState *node);
/* ----------------------------------------------------------------
* ExecInitGather
* ----------------------------------------------------------------
*/
GatherState *
ExecInitGather(Gather *node, EState *estate, int eflags)
{
GatherState *gatherstate;
Plan *outerNode;
bool hasoid;
TupleDesc tupDesc;
/* Gather node doesn't have innerPlan node. */
Assert(innerPlan(node) == NULL);
/*
* create state structure
*/
gatherstate = makeNode(GatherState);
gatherstate->ps.plan = (Plan *) node;
gatherstate->ps.state = estate;
gatherstate->need_to_scan_locally = !node->single_copy;
/*
* Miscellaneous initialization
*
* create expression context for node
*/
ExecAssignExprContext(estate, &gatherstate->ps);
/*
* initialize child expressions
*/
Faster expression evaluation and targetlist projection. This replaces the old, recursive tree-walk based evaluation, with non-recursive, opcode dispatch based, expression evaluation. Projection is now implemented as part of expression evaluation. This both leads to significant performance improvements, and makes future just-in-time compilation of expressions easier. The speed gains primarily come from: - non-recursive implementation reduces stack usage / overhead - simple sub-expressions are implemented with a single jump, without function calls - sharing some state between different sub-expressions - reduced amount of indirect/hard to predict memory accesses by laying out operation metadata sequentially; including the avoidance of nearly all of the previously used linked lists - more code has been moved to expression initialization, avoiding constant re-checks at evaluation time Future just-in-time compilation (JIT) has become easier, as demonstrated by released patches intended to be merged in a later release, for primarily two reasons: Firstly, due to a stricter split between expression initialization and evaluation, less code has to be handled by the JIT. Secondly, due to the non-recursive nature of the generated "instructions", less performance-critical code-paths can easily be shared between interpreted and compiled evaluation. The new framework allows for significant future optimizations. E.g.: - basic infrastructure for to later reduce the per executor-startup overhead of expression evaluation, by caching state in prepared statements. That'd be helpful in OLTPish scenarios where initialization overhead is measurable. - optimizing the generated "code". A number of proposals for potential work has already been made. - optimizing the interpreter. Similarly a number of proposals have been made here too. The move of logic into the expression initialization step leads to some backward-incompatible changes: - Function permission checks are now done during expression initialization, whereas previously they were done during execution. In edge cases this can lead to errors being raised that previously wouldn't have been, e.g. a NULL array being coerced to a different array type previously didn't perform checks. - The set of domain constraints to be checked, is now evaluated once during expression initialization, previously it was re-built every time a domain check was evaluated. For normal queries this doesn't change much, but e.g. for plpgsql functions, which caches ExprStates, the old set could stick around longer. The behavior around might still change. Author: Andres Freund, with significant changes by Tom Lane, changes by Heikki Linnakangas Reviewed-By: Tom Lane, Heikki Linnakangas Discussion: https://postgr.es/m/20161206034955.bh33paeralxbtluv@alap3.anarazel.de
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gatherstate->ps.qual =
ExecInitQual(node->plan.qual, (PlanState *) gatherstate);
/*
* tuple table initialization
*/
gatherstate->funnel_slot = ExecInitExtraTupleSlot(estate);
ExecInitResultTupleSlot(estate, &gatherstate->ps);
/*
* now initialize outer plan
*/
outerNode = outerPlan(node);
outerPlanState(gatherstate) = ExecInitNode(outerNode, estate, eflags);
/*
* Initialize result tuple type and projection info.
*/
ExecAssignResultTypeFromTL(&gatherstate->ps);
ExecAssignProjectionInfo(&gatherstate->ps, NULL);
/*
* Initialize funnel slot to same tuple descriptor as outer plan.
*/
if (!ExecContextForcesOids(&gatherstate->ps, &hasoid))
hasoid = false;
tupDesc = ExecTypeFromTL(outerNode->targetlist, hasoid);
ExecSetSlotDescriptor(gatherstate->funnel_slot, tupDesc);
return gatherstate;
}
/* ----------------------------------------------------------------
* ExecGather(node)
*
* Scans the relation via multiple workers and returns
* the next qualifying tuple.
* ----------------------------------------------------------------
*/
TupleTableSlot *
ExecGather(GatherState *node)
{
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TupleTableSlot *fslot = node->funnel_slot;
int i;
TupleTableSlot *slot;
ExprContext *econtext;
/*
* Initialize the parallel context and workers on first execution. We do
* this on first execution rather than during node initialization, as it
* needs to allocate a large dynamic segment, so it is better to do it
* only if it is really needed.
*/
if (!node->initialized)
{
EState *estate = node->ps.state;
Gather *gather = (Gather *) node->ps.plan;
/*
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* Sometimes we might have to run without parallelism; but if parallel
* mode is active then we can try to fire up some workers.
*/
if (gather->num_workers > 0 && IsInParallelMode())
{
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ParallelContext *pcxt;
/* Initialize the workers required to execute Gather node. */
if (!node->pei)
node->pei = ExecInitParallelPlan(node->ps.lefttree,
estate,
gather->num_workers);
/*
* Register backend workers. We might not get as many as we
* requested, or indeed any at all.
*/
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pcxt = node->pei->pcxt;
LaunchParallelWorkers(pcxt);
node->nworkers_launched = pcxt->nworkers_launched;
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/* Set up tuple queue readers to read the results. */
if (pcxt->nworkers_launched > 0)
{
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node->nreaders = 0;
node->nextreader = 0;
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node->reader =
palloc(pcxt->nworkers_launched * sizeof(TupleQueueReader *));
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for (i = 0; i < pcxt->nworkers_launched; ++i)
{
shm_mq_set_handle(node->pei->tqueue[i],
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pcxt->worker[i].bgwhandle);
node->reader[node->nreaders++] =
CreateTupleQueueReader(node->pei->tqueue[i],
fslot->tts_tupleDescriptor);
}
}
else
{
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/* No workers? Then never mind. */
ExecShutdownGatherWorkers(node);
}
}
/* Run plan locally if no workers or not single-copy. */
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node->need_to_scan_locally = (node->reader == NULL)
|| !gather->single_copy;
node->initialized = true;
}
/*
* Reset per-tuple memory context to free any expression evaluation
* storage allocated in the previous tuple cycle. This will also clear
* any previous tuple returned by a TupleQueueReader; to make sure we
* don't leave a dangling pointer around, clear the working slot first.
*/
ExecClearTuple(fslot);
econtext = node->ps.ps_ExprContext;
ResetExprContext(econtext);
/*
* Get next tuple, either from one of our workers, or by running the plan
* ourselves.
*/
slot = gather_getnext(node);
if (TupIsNull(slot))
return NULL;
/*
* Form the result tuple using ExecProject(), and return it.
*/
econtext->ecxt_outertuple = slot;
return ExecProject(node->ps.ps_ProjInfo);
}
/* ----------------------------------------------------------------
* ExecEndGather
*
* frees any storage allocated through C routines.
* ----------------------------------------------------------------
*/
void
ExecEndGather(GatherState *node)
{
ExecEndNode(outerPlanState(node)); /* let children clean up first */
ExecShutdownGather(node);
ExecFreeExprContext(&node->ps);
ExecClearTuple(node->ps.ps_ResultTupleSlot);
}
/*
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* Read the next tuple. We might fetch a tuple from one of the tuple queues
* using gather_readnext, or if no tuple queue contains a tuple and the
* single_copy flag is not set, we might generate one locally instead.
*/
static TupleTableSlot *
gather_getnext(GatherState *gatherstate)
{
PlanState *outerPlan = outerPlanState(gatherstate);
TupleTableSlot *outerTupleSlot;
TupleTableSlot *fslot = gatherstate->funnel_slot;
MemoryContext tupleContext = gatherstate->ps.ps_ExprContext->ecxt_per_tuple_memory;
HeapTuple tup;
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while (gatherstate->reader != NULL || gatherstate->need_to_scan_locally)
{
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if (gatherstate->reader != NULL)
{
MemoryContext oldContext;
/* Run TupleQueueReaders in per-tuple context */
oldContext = MemoryContextSwitchTo(tupleContext);
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tup = gather_readnext(gatherstate);
MemoryContextSwitchTo(oldContext);
if (HeapTupleIsValid(tup))
{
ExecStoreTuple(tup, /* tuple to store */
fslot, /* slot in which to store the tuple */
InvalidBuffer, /* buffer associated with this
* tuple */
false); /* slot should not pfree tuple */
return fslot;
}
}
if (gatherstate->need_to_scan_locally)
{
outerTupleSlot = ExecProcNode(outerPlan);
if (!TupIsNull(outerTupleSlot))
return outerTupleSlot;
gatherstate->need_to_scan_locally = false;
}
}
return ExecClearTuple(fslot);
}
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/*
* Attempt to read a tuple from one of our parallel workers.
*/
static HeapTuple
gather_readnext(GatherState *gatherstate)
{
int nvisited = 0;
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for (;;)
{
TupleQueueReader *reader;
HeapTuple tup;
bool readerdone;
/* Check for async events, particularly messages from workers. */
CHECK_FOR_INTERRUPTS();
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/* Attempt to read a tuple, but don't block if none is available. */
Assert(gatherstate->nextreader < gatherstate->nreaders);
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reader = gatherstate->reader[gatherstate->nextreader];
tup = TupleQueueReaderNext(reader, true, &readerdone);
/*
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* If this reader is done, remove it. If all readers are done, clean
* up remaining worker state.
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*/
if (readerdone)
{
Assert(!tup);
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DestroyTupleQueueReader(reader);
--gatherstate->nreaders;
if (gatherstate->nreaders == 0)
{
ExecShutdownGatherWorkers(gatherstate);
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return NULL;
}
memmove(&gatherstate->reader[gatherstate->nextreader],
&gatherstate->reader[gatherstate->nextreader + 1],
sizeof(TupleQueueReader *)
* (gatherstate->nreaders - gatherstate->nextreader));
if (gatherstate->nextreader >= gatherstate->nreaders)
gatherstate->nextreader = 0;
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continue;
}
/* If we got a tuple, return it. */
if (tup)
return tup;
/*
* Advance nextreader pointer in round-robin fashion. Note that we
* only reach this code if we weren't able to get a tuple from the
* current worker. We used to advance the nextreader pointer after
* every tuple, but it turns out to be much more efficient to keep
* reading from the same queue until that would require blocking.
*/
gatherstate->nextreader++;
if (gatherstate->nextreader >= gatherstate->nreaders)
gatherstate->nextreader = 0;
/* Have we visited every (surviving) TupleQueueReader? */
nvisited++;
if (nvisited >= gatherstate->nreaders)
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{
/*
* If (still) running plan locally, return NULL so caller can
* generate another tuple from the local copy of the plan.
*/
if (gatherstate->need_to_scan_locally)
return NULL;
/* Nothing to do except wait for developments. */
WaitLatch(MyLatch, WL_LATCH_SET, 0, WAIT_EVENT_EXECUTE_GATHER);
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ResetLatch(MyLatch);
nvisited = 0;
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}
}
}
/* ----------------------------------------------------------------
* ExecShutdownGatherWorkers
*
* Destroy the parallel workers. Collect all the stats after
* workers are stopped, else some work done by workers won't be
* accounted.
* ----------------------------------------------------------------
*/
static void
ExecShutdownGatherWorkers(GatherState *node)
{
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/* Shut down tuple queue readers before shutting down workers. */
if (node->reader != NULL)
{
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int i;
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for (i = 0; i < node->nreaders; ++i)
DestroyTupleQueueReader(node->reader[i]);
pfree(node->reader);
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node->reader = NULL;
}
/* Now shut down the workers. */
if (node->pei != NULL)
ExecParallelFinish(node->pei);
}
/* ----------------------------------------------------------------
* ExecShutdownGather
*
* Destroy the setup for parallel workers including parallel context.
* Collect all the stats after workers are stopped, else some work
* done by workers won't be accounted.
* ----------------------------------------------------------------
*/
void
ExecShutdownGather(GatherState *node)
{
ExecShutdownGatherWorkers(node);
/* Now destroy the parallel context. */
if (node->pei != NULL)
{
ExecParallelCleanup(node->pei);
node->pei = NULL;
}
}
/* ----------------------------------------------------------------
* Join Support
* ----------------------------------------------------------------
*/
/* ----------------------------------------------------------------
* ExecReScanGather
*
* Re-initialize the workers and rescans a relation via them.
* ----------------------------------------------------------------
*/
void
ExecReScanGather(GatherState *node)
{
/*
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* Re-initialize the parallel workers to perform rescan of relation. We
* want to gracefully shutdown all the workers so that they should be able
* to propagate any error or other information to master backend before
* dying. Parallel context will be reused for rescan.
*/
ExecShutdownGatherWorkers(node);
node->initialized = false;
if (node->pei)
ExecParallelReinitialize(node->pei);
ExecReScan(node->ps.lefttree);
}