postgresql/src/backend/executor/execPartition.c

1718 lines
54 KiB
C
Raw Normal View History

/*-------------------------------------------------------------------------
*
* execPartition.c
* Support routines for partitioning.
*
* Portions Copyright (c) 1996-2018, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
* IDENTIFICATION
* src/backend/executor/execPartition.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include "catalog/pg_inherits.h"
#include "catalog/pg_type.h"
#include "executor/execPartition.h"
#include "executor/executor.h"
#include "foreign/fdwapi.h"
#include "mb/pg_wchar.h"
#include "miscadmin.h"
#include "nodes/makefuncs.h"
#include "utils/lsyscache.h"
#include "utils/rls.h"
#include "utils/ruleutils.h"
static PartitionDispatch *RelationGetPartitionDispatchInfo(Relation rel,
int *num_parted, List **leaf_part_oids);
static void get_partition_dispatch_recurse(Relation rel, Relation parent,
List **pds, List **leaf_part_oids);
static void FormPartitionKeyDatum(PartitionDispatch pd,
TupleTableSlot *slot,
EState *estate,
Datum *values,
bool *isnull);
static char *ExecBuildSlotPartitionKeyDescription(Relation rel,
Datum *values,
bool *isnull,
int maxfieldlen);
static List *adjust_partition_tlist(List *tlist, TupleConversionMap *map);
Support partition pruning at execution time Existing partition pruning is only able to work at plan time, for query quals that appear in the parsed query. This is good but limiting, as there can be parameters that appear later that can be usefully used to further prune partitions. This commit adds support for pruning subnodes of Append which cannot possibly contain any matching tuples, during execution, by evaluating Params to determine the minimum set of subnodes that can possibly match. We support more than just simple Params in WHERE clauses. Support additionally includes: 1. Parameterized Nested Loop Joins: The parameter from the outer side of the join can be used to determine the minimum set of inner side partitions to scan. 2. Initplans: Once an initplan has been executed we can then determine which partitions match the value from the initplan. Partition pruning is performed in two ways. When Params external to the plan are found to match the partition key we attempt to prune away unneeded Append subplans during the initialization of the executor. This allows us to bypass the initialization of non-matching subplans meaning they won't appear in the EXPLAIN or EXPLAIN ANALYZE output. For parameters whose value is only known during the actual execution then the pruning of these subplans must wait. Subplans which are eliminated during this stage of pruning are still visible in the EXPLAIN output. In order to determine if pruning has actually taken place, the EXPLAIN ANALYZE must be viewed. If a certain Append subplan was never executed due to the elimination of the partition then the execution timing area will state "(never executed)". Whereas, if, for example in the case of parameterized nested loops, the number of loops stated in the EXPLAIN ANALYZE output for certain subplans may appear lower than others due to the subplan having been scanned fewer times. This is due to the list of matching subnodes having to be evaluated whenever a parameter which was found to match the partition key changes. This commit required some additional infrastructure that permits the building of a data structure which is able to perform the translation of the matching partition IDs, as returned by get_matching_partitions, into the list index of a subpaths list, as exist in node types such as Append, MergeAppend and ModifyTable. This allows us to translate a list of clauses into a Bitmapset of all the subpath indexes which must be included to satisfy the clause list. Author: David Rowley, based on an earlier effort by Beena Emerson Reviewers: Amit Langote, Robert Haas, Amul Sul, Rajkumar Raghuwanshi, Jesper Pedersen Discussion: https://postgr.es/m/CAOG9ApE16ac-_VVZVvv0gePSgkg_BwYEV1NBqZFqDR2bBE0X0A@mail.gmail.com
2018-04-07 22:54:31 +02:00
static void find_subplans_for_params_recurse(PartitionPruneState *prunestate,
PartitionPruningData *pprune,
bool allparams,
Bitmapset **validsubplans);
/*
* ExecSetupPartitionTupleRouting - sets up information needed during
* tuple routing for partitioned tables, encapsulates it in
* PartitionTupleRouting, and returns it.
*
* Note that all the relations in the partition tree are locked using the
* RowExclusiveLock mode upon return from this function.
*
* While we allocate the arrays of pointers of ResultRelInfo and
* TupleConversionMap for all partitions here, actual objects themselves are
* lazily allocated for a given partition if a tuple is actually routed to it;
* see ExecInitPartitionInfo. However, if the function is invoked for update
* tuple routing, caller would already have initialized ResultRelInfo's for
* some of the partitions, which are reused and assigned to their respective
* slot in the aforementioned array. For such partitions, we delay setting
* up objects such as TupleConversionMap until those are actually chosen as
* the partitions to route tuples to. See ExecPrepareTupleRouting.
*/
PartitionTupleRouting *
ExecSetupPartitionTupleRouting(ModifyTableState *mtstate, Relation rel)
{
List *leaf_parts;
ListCell *cell;
int i;
ResultRelInfo *update_rri = NULL;
int num_update_rri = 0,
update_rri_index = 0;
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
bool is_update = false;
bool is_merge = false;
PartitionTupleRouting *proute;
int nparts;
ModifyTable *node = mtstate ? (ModifyTable *) mtstate->ps.plan : NULL;
/*
* Get the information about the partition tree after locking all the
* partitions.
*/
(void) find_all_inheritors(RelationGetRelid(rel), RowExclusiveLock, NULL);
proute = (PartitionTupleRouting *) palloc0(sizeof(PartitionTupleRouting));
proute->partition_dispatch_info =
RelationGetPartitionDispatchInfo(rel, &proute->num_dispatch,
&leaf_parts);
proute->num_partitions = nparts = list_length(leaf_parts);
proute->partitions =
(ResultRelInfo **) palloc(nparts * sizeof(ResultRelInfo *));
proute->parent_child_tupconv_maps =
(TupleConversionMap **) palloc0(nparts * sizeof(TupleConversionMap *));
proute->partition_oids = (Oid *) palloc(nparts * sizeof(Oid));
/* Set up details specific to the type of tuple routing we are doing. */
if (node && node->operation == CMD_UPDATE)
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
is_update = true;
else if (node && node->operation == CMD_MERGE)
is_merge = true;
if (is_update)
{
update_rri = mtstate->resultRelInfo;
num_update_rri = list_length(node->plans);
proute->subplan_partition_offsets =
palloc(num_update_rri * sizeof(int));
proute->num_subplan_partition_offsets = num_update_rri;
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
}
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
if (is_update || is_merge)
{
/*
* We need an additional tuple slot for storing transient tuples that
* are converted to the root table descriptor.
*/
proute->root_tuple_slot = MakeTupleTableSlot(NULL);
}
/*
* Initialize an empty slot that will be used to manipulate tuples of any
* given partition's rowtype. It is attached to the caller-specified node
* (such as ModifyTableState) and released when the node finishes
* processing.
*/
proute->partition_tuple_slot = MakeTupleTableSlot(NULL);
i = 0;
foreach(cell, leaf_parts)
{
ResultRelInfo *leaf_part_rri = NULL;
Oid leaf_oid = lfirst_oid(cell);
proute->partition_oids[i] = leaf_oid;
/*
* If the leaf partition is already present in the per-subplan result
* rels, we re-use that rather than initialize a new result rel. The
* per-subplan resultrels and the resultrels of the leaf partitions
* are both in the same canonical order. So while going through the
* leaf partition oids, we need to keep track of the next per-subplan
* result rel to be looked for in the leaf partition resultrels.
*/
if (update_rri_index < num_update_rri &&
RelationGetRelid(update_rri[update_rri_index].ri_RelationDesc) == leaf_oid)
{
leaf_part_rri = &update_rri[update_rri_index];
/*
* This is required in order to convert the partition's tuple to
* be compatible with the root partitioned table's tuple
* descriptor. When generating the per-subplan result rels, this
* was not set.
*/
leaf_part_rri->ri_PartitionRoot = rel;
/* Remember the subplan offset for this ResultRelInfo */
proute->subplan_partition_offsets[update_rri_index] = i;
update_rri_index++;
}
proute->partitions[i] = leaf_part_rri;
i++;
}
/*
* For UPDATE, we should have found all the per-subplan resultrels in the
* leaf partitions. (If this is an INSERT, both values will be zero.)
*/
Assert(update_rri_index == num_update_rri);
return proute;
}
/*
* ExecFindPartition -- Find a leaf partition in the partition tree rooted
* at parent, for the heap tuple contained in *slot
*
* estate must be non-NULL; we'll need it to compute any expressions in the
* partition key(s)
*
* If no leaf partition is found, this routine errors out with the appropriate
* error message, else it returns the leaf partition sequence number
* as an index into the array of (ResultRelInfos of) all leaf partitions in
* the partition tree.
*/
int
ExecFindPartition(ResultRelInfo *resultRelInfo, PartitionDispatch *pd,
TupleTableSlot *slot, EState *estate)
{
int result;
Datum values[PARTITION_MAX_KEYS];
bool isnull[PARTITION_MAX_KEYS];
Relation rel;
PartitionDispatch parent;
ExprContext *ecxt = GetPerTupleExprContext(estate);
TupleTableSlot *ecxt_scantuple_old = ecxt->ecxt_scantuple;
/*
* First check the root table's partition constraint, if any. No point in
* routing the tuple if it doesn't belong in the root table itself.
*/
if (resultRelInfo->ri_PartitionCheck &&
!ExecPartitionCheck(resultRelInfo, slot, estate))
ExecPartitionCheckEmitError(resultRelInfo, slot, estate);
/* start with the root partitioned table */
parent = pd[0];
while (true)
{
PartitionDesc partdesc;
TupleTableSlot *myslot = parent->tupslot;
TupleConversionMap *map = parent->tupmap;
int cur_index = -1;
rel = parent->reldesc;
partdesc = RelationGetPartitionDesc(rel);
/*
* Convert the tuple to this parent's layout so that we can do certain
* things we do below.
*/
if (myslot != NULL && map != NULL)
{
HeapTuple tuple = ExecFetchSlotTuple(slot);
ExecClearTuple(myslot);
tuple = do_convert_tuple(tuple, map);
ExecStoreTuple(tuple, myslot, InvalidBuffer, true);
slot = myslot;
}
/*
* Extract partition key from tuple. Expression evaluation machinery
* that FormPartitionKeyDatum() invokes expects ecxt_scantuple to
* point to the correct tuple slot. The slot might have changed from
* what was used for the parent table if the table of the current
* partitioning level has different tuple descriptor from the parent.
* So update ecxt_scantuple accordingly.
*/
ecxt->ecxt_scantuple = slot;
FormPartitionKeyDatum(parent, slot, estate, values, isnull);
/*
* Nothing for get_partition_for_tuple() to do if there are no
* partitions to begin with.
*/
if (partdesc->nparts == 0)
{
result = -1;
break;
}
cur_index = get_partition_for_tuple(rel, values, isnull);
/*
* cur_index < 0 means we failed to find a partition of this parent.
* cur_index >= 0 means we either found the leaf partition, or the
* next parent to find a partition of.
*/
if (cur_index < 0)
{
result = -1;
break;
}
else if (parent->indexes[cur_index] >= 0)
{
result = parent->indexes[cur_index];
break;
}
else
parent = pd[-parent->indexes[cur_index]];
}
/* A partition was not found. */
if (result < 0)
{
char *val_desc;
val_desc = ExecBuildSlotPartitionKeyDescription(rel,
values, isnull, 64);
Assert(OidIsValid(RelationGetRelid(rel)));
ereport(ERROR,
(errcode(ERRCODE_CHECK_VIOLATION),
errmsg("no partition of relation \"%s\" found for row",
RelationGetRelationName(rel)),
val_desc ? errdetail("Partition key of the failing row contains %s.", val_desc) : 0));
}
ecxt->ecxt_scantuple = ecxt_scantuple_old;
return result;
}
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
/*
* Given OID of the partition leaf, return the index of the leaf in the
* partition hierarchy.
*
2018-04-05 14:19:13 +02:00
* XXX This is an O(N) operation and further optimization would be beneficial
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
*/
int
ExecFindPartitionByOid(PartitionTupleRouting *proute, Oid partoid)
{
int i;
for (i = 0; i < proute->num_partitions; i++)
{
if (proute->partition_oids[i] == partoid)
break;
}
if (i >= proute->num_partitions)
ereport(ERROR,
(errcode(ERRCODE_INTERNAL_ERROR),
errmsg("no partition found for OID %u", partoid)));
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
return i;
}
/*
* ExecInitPartitionInfo
* Initialize ResultRelInfo and other information for a partition if not
* already done
*
* Returns the ResultRelInfo
*/
ResultRelInfo *
ExecInitPartitionInfo(ModifyTableState *mtstate,
ResultRelInfo *resultRelInfo,
PartitionTupleRouting *proute,
EState *estate, int partidx)
{
ModifyTable *node = (ModifyTable *) mtstate->ps.plan;
Relation rootrel = resultRelInfo->ri_RelationDesc,
partrel;
ResultRelInfo *leaf_part_rri;
MemoryContext oldContext;
/*
* We locked all the partitions in ExecSetupPartitionTupleRouting
* including the leaf partitions.
*/
partrel = heap_open(proute->partition_oids[partidx], NoLock);
/*
* Keep ResultRelInfo and other information for this partition in the
* per-query memory context so they'll survive throughout the query.
*/
oldContext = MemoryContextSwitchTo(estate->es_query_cxt);
leaf_part_rri = makeNode(ResultRelInfo);
InitResultRelInfo(leaf_part_rri,
partrel,
node ? node->nominalRelation : 1,
rootrel,
estate->es_instrument);
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
leaf_part_rri->ri_PartitionLeafIndex = partidx;
/*
* Since we've just initialized this ResultRelInfo, it's not in any list
* attached to the estate as yet. Add it, so that it can be found later.
*
* Note that the entries in this list appear in no predetermined order,
* because partition result rels are initialized as and when they're
* needed.
*/
estate->es_tuple_routing_result_relations =
lappend(estate->es_tuple_routing_result_relations,
leaf_part_rri);
/* Set up information needed for routing tuples to this partition. */
ExecInitRoutingInfo(mtstate, estate, proute, leaf_part_rri, partidx);
/*
* Open partition indices. The user may have asked to check for conflicts
* within this leaf partition and do "nothing" instead of throwing an
* error. Be prepared in that case by initializing the index information
* needed by ExecInsert() to perform speculative insertions.
*/
if (partrel->rd_rel->relhasindex &&
leaf_part_rri->ri_IndexRelationDescs == NULL)
ExecOpenIndices(leaf_part_rri,
(node != NULL &&
node->onConflictAction != ONCONFLICT_NONE));
/*
* Build WITH CHECK OPTION constraints for the partition. Note that we
* didn't build the withCheckOptionList for partitions within the planner,
* but simple translation of varattnos will suffice. This only occurs for
* the INSERT case or in the case of UPDATE tuple routing where we didn't
* find a result rel to reuse in ExecSetupPartitionTupleRouting().
*/
if (node && node->withCheckOptionLists != NIL)
{
List *wcoList;
List *wcoExprs = NIL;
ListCell *ll;
int firstVarno = mtstate->resultRelInfo[0].ri_RangeTableIndex;
Relation firstResultRel = mtstate->resultRelInfo[0].ri_RelationDesc;
/*
* In the case of INSERT on a partitioned table, there is only one
* plan. Likewise, there is only one WCO list, not one per partition.
* For UPDATE, there are as many WCO lists as there are plans.
*/
Assert((node->operation == CMD_INSERT &&
list_length(node->withCheckOptionLists) == 1 &&
list_length(node->plans) == 1) ||
(node->operation == CMD_UPDATE &&
list_length(node->withCheckOptionLists) ==
list_length(node->plans)));
/*
* Use the WCO list of the first plan as a reference to calculate
* attno's for the WCO list of this partition. In the INSERT case,
* that refers to the root partitioned table, whereas in the UPDATE
* tuple routing case, that refers to the first partition in the
* mtstate->resultRelInfo array. In any case, both that relation and
* this partition should have the same columns, so we should be able
* to map attributes successfully.
*/
wcoList = linitial(node->withCheckOptionLists);
/*
* Convert Vars in it to contain this partition's attribute numbers.
*/
wcoList = map_partition_varattnos(wcoList, firstVarno,
partrel, firstResultRel, NULL);
foreach(ll, wcoList)
{
WithCheckOption *wco = castNode(WithCheckOption, lfirst(ll));
ExprState *wcoExpr = ExecInitQual(castNode(List, wco->qual),
&mtstate->ps);
wcoExprs = lappend(wcoExprs, wcoExpr);
}
leaf_part_rri->ri_WithCheckOptions = wcoList;
leaf_part_rri->ri_WithCheckOptionExprs = wcoExprs;
}
/*
* Build the RETURNING projection for the partition. Note that we didn't
* build the returningList for partitions within the planner, but simple
* translation of varattnos will suffice. This only occurs for the INSERT
* case or in the case of UPDATE tuple routing where we didn't find a
* result rel to reuse in ExecSetupPartitionTupleRouting().
*/
if (node && node->returningLists != NIL)
{
TupleTableSlot *slot;
ExprContext *econtext;
List *returningList;
int firstVarno = mtstate->resultRelInfo[0].ri_RangeTableIndex;
Relation firstResultRel = mtstate->resultRelInfo[0].ri_RelationDesc;
/* See the comment above for WCO lists. */
Assert((node->operation == CMD_INSERT &&
list_length(node->returningLists) == 1 &&
list_length(node->plans) == 1) ||
(node->operation == CMD_UPDATE &&
list_length(node->returningLists) ==
list_length(node->plans)));
/*
* Use the RETURNING list of the first plan as a reference to
* calculate attno's for the RETURNING list of this partition. See
* the comment above for WCO lists for more details on why this is
* okay.
*/
returningList = linitial(node->returningLists);
/*
* Convert Vars in it to contain this partition's attribute numbers.
*/
returningList = map_partition_varattnos(returningList, firstVarno,
partrel, firstResultRel,
NULL);
leaf_part_rri->ri_returningList = returningList;
/*
* Initialize the projection itself.
*
* Use the slot and the expression context that would have been set up
* in ExecInitModifyTable() for projection's output.
*/
Assert(mtstate->ps.ps_ResultTupleSlot != NULL);
slot = mtstate->ps.ps_ResultTupleSlot;
Assert(mtstate->ps.ps_ExprContext != NULL);
econtext = mtstate->ps.ps_ExprContext;
leaf_part_rri->ri_projectReturning =
ExecBuildProjectionInfo(returningList, econtext, slot,
&mtstate->ps, RelationGetDescr(partrel));
}
/*
* If there is an ON CONFLICT clause, initialize state for it.
*/
if (node && node->onConflictAction != ONCONFLICT_NONE)
{
TupleConversionMap *map = proute->parent_child_tupconv_maps[partidx];
int firstVarno = mtstate->resultRelInfo[0].ri_RangeTableIndex;
Relation firstResultRel = mtstate->resultRelInfo[0].ri_RelationDesc;
TupleDesc partrelDesc = RelationGetDescr(partrel);
ExprContext *econtext = mtstate->ps.ps_ExprContext;
ListCell *lc;
List *arbiterIndexes = NIL;
/*
* If there is a list of arbiter indexes, map it to a list of indexes
* in the partition. We do that by scanning the partition's index
* list and searching for ancestry relationships to each index in the
* ancestor table.
*/
if (list_length(resultRelInfo->ri_onConflictArbiterIndexes) > 0)
{
List *childIdxs;
childIdxs = RelationGetIndexList(leaf_part_rri->ri_RelationDesc);
foreach(lc, childIdxs)
{
Oid childIdx = lfirst_oid(lc);
List *ancestors;
ListCell *lc2;
ancestors = get_partition_ancestors(childIdx);
foreach(lc2, resultRelInfo->ri_onConflictArbiterIndexes)
{
if (list_member_oid(ancestors, lfirst_oid(lc2)))
arbiterIndexes = lappend_oid(arbiterIndexes, childIdx);
}
list_free(ancestors);
}
}
/*
* If the resulting lists are of inequal length, something is wrong.
* (This shouldn't happen, since arbiter index selection should not
* pick up an invalid index.)
*/
if (list_length(resultRelInfo->ri_onConflictArbiterIndexes) !=
list_length(arbiterIndexes))
elog(ERROR, "invalid arbiter index list");
leaf_part_rri->ri_onConflictArbiterIndexes = arbiterIndexes;
/*
* In the DO UPDATE case, we have some more state to initialize.
*/
if (node->onConflictAction == ONCONFLICT_UPDATE)
{
Assert(node->onConflictSet != NIL);
Assert(resultRelInfo->ri_onConflict != NULL);
/*
* If the partition's tuple descriptor matches exactly the root
* parent (the common case), we can simply re-use the parent's ON
* CONFLICT SET state, skipping a bunch of work. Otherwise, we
* need to create state specific to this partition.
*/
if (map == NULL)
leaf_part_rri->ri_onConflict = resultRelInfo->ri_onConflict;
else
{
List *onconflset;
TupleDesc tupDesc;
bool found_whole_row;
leaf_part_rri->ri_onConflict = makeNode(OnConflictSetState);
/*
* Translate expressions in onConflictSet to account for
* different attribute numbers. For that, map partition
* varattnos twice: first to catch the EXCLUDED
* pseudo-relation (INNER_VAR), and second to handle the main
* target relation (firstVarno).
*/
onconflset = (List *) copyObject((Node *) node->onConflictSet);
onconflset =
map_partition_varattnos(onconflset, INNER_VAR, partrel,
firstResultRel, &found_whole_row);
Assert(!found_whole_row);
onconflset =
map_partition_varattnos(onconflset, firstVarno, partrel,
firstResultRel, &found_whole_row);
Assert(!found_whole_row);
/* Finally, adjust this tlist to match the partition. */
onconflset = adjust_partition_tlist(onconflset, map);
/*
* Build UPDATE SET's projection info. The user of this
* projection is responsible for setting the slot's tupdesc!
* We set aside a tupdesc that's good for the common case of a
* partition that's tupdesc-equal to the partitioned table;
* partitions of different tupdescs must generate their own.
*/
tupDesc = ExecTypeFromTL(onconflset, partrelDesc->tdhasoid);
ExecSetSlotDescriptor(mtstate->mt_conflproj, tupDesc);
leaf_part_rri->ri_onConflict->oc_ProjInfo =
ExecBuildProjectionInfo(onconflset, econtext,
mtstate->mt_conflproj,
&mtstate->ps, partrelDesc);
leaf_part_rri->ri_onConflict->oc_ProjTupdesc = tupDesc;
/*
* If there is a WHERE clause, initialize state where it will
* be evaluated, mapping the attribute numbers appropriately.
* As with onConflictSet, we need to map partition varattnos
* to the partition's tupdesc.
*/
if (node->onConflictWhere)
{
List *clause;
clause = copyObject((List *) node->onConflictWhere);
clause = map_partition_varattnos(clause, INNER_VAR,
partrel, firstResultRel,
&found_whole_row);
Assert(!found_whole_row);
clause = map_partition_varattnos(clause, firstVarno,
partrel, firstResultRel,
&found_whole_row);
Assert(!found_whole_row);
leaf_part_rri->ri_onConflict->oc_WhereClause =
ExecInitQual((List *) clause, &mtstate->ps);
}
}
}
}
Assert(proute->partitions[partidx] == NULL);
proute->partitions[partidx] = leaf_part_rri;
MERGE SQL Command following SQL:2016 MERGE performs actions that modify rows in the target table using a source table or query. MERGE provides a single SQL statement that can conditionally INSERT/UPDATE/DELETE rows a task that would other require multiple PL statements. e.g. MERGE INTO target AS t USING source AS s ON t.tid = s.sid WHEN MATCHED AND t.balance > s.delta THEN UPDATE SET balance = t.balance - s.delta WHEN MATCHED THEN DELETE WHEN NOT MATCHED AND s.delta > 0 THEN INSERT VALUES (s.sid, s.delta) WHEN NOT MATCHED THEN DO NOTHING; MERGE works with regular and partitioned tables, including column and row security enforcement, as well as support for row, statement and transition triggers. MERGE is optimized for OLTP and is parameterizable, though also useful for large scale ETL/ELT. MERGE is not intended to be used in preference to existing single SQL commands for INSERT, UPDATE or DELETE since there is some overhead. MERGE can be used statically from PL/pgSQL. MERGE does not yet support inheritance, write rules, RETURNING clauses, updatable views or foreign tables. MERGE follows SQL Standard per the most recent SQL:2016. Includes full tests and documentation, including full isolation tests to demonstrate the concurrent behavior. This version written from scratch in 2017 by Simon Riggs, using docs and tests originally written in 2009. Later work from Pavan Deolasee has been both complex and deep, leaving the lead author credit now in his hands. Extensive discussion of concurrency from Peter Geoghegan, with thanks for the time and effort contributed. Various issues reported via sqlsmith by Andreas Seltenreich Authors: Pavan Deolasee, Simon Riggs Reviewer: Peter Geoghegan, Amit Langote, Tomas Vondra, Simon Riggs Discussion: https://postgr.es/m/CANP8+jKitBSrB7oTgT9CY2i1ObfOt36z0XMraQc+Xrz8QB0nXA@mail.gmail.com https://postgr.es/m/CAH2-WzkJdBuxj9PO=2QaO9-3h3xGbQPZ34kJH=HukRekwM-GZg@mail.gmail.com
2018-04-03 10:28:16 +02:00
/*
* Initialize information about this partition that's needed to handle
* MERGE.
*/
if (node && node->operation == CMD_MERGE)
{
TupleDesc partrelDesc = RelationGetDescr(partrel);
TupleConversionMap *map = proute->parent_child_tupconv_maps[partidx];
int firstVarno = mtstate->resultRelInfo[0].ri_RangeTableIndex;
Relation firstResultRel = mtstate->resultRelInfo[0].ri_RelationDesc;
/*
* If the root parent and partition have the same tuple
* descriptor, just reuse the original MERGE state for partition.
*/
if (map == NULL)
{
leaf_part_rri->ri_mergeState = resultRelInfo->ri_mergeState;
}
else
{
/* Convert expressions contain partition's attnos. */
List *conv_tl, *conv_qual;
ListCell *l;
List *matchedActionStates = NIL;
List *notMatchedActionStates = NIL;
foreach (l, node->mergeActionList)
{
MergeAction *action = lfirst_node(MergeAction, l);
MergeActionState *action_state = makeNode(MergeActionState);
TupleDesc tupDesc;
ExprContext *econtext;
action_state->matched = action->matched;
action_state->commandType = action->commandType;
conv_qual = (List *) action->qual;
conv_qual = map_partition_varattnos(conv_qual,
firstVarno, partrel,
firstResultRel, NULL);
action_state->whenqual = ExecInitQual(conv_qual, &mtstate->ps);
conv_tl = (List *) action->targetList;
conv_tl = map_partition_varattnos(conv_tl,
firstVarno, partrel,
firstResultRel, NULL);
conv_tl = adjust_partition_tlist( conv_tl, map);
tupDesc = ExecTypeFromTL(conv_tl, partrelDesc->tdhasoid);
action_state->tupDesc = tupDesc;
/* build action projection state */
econtext = mtstate->ps.ps_ExprContext;
action_state->proj =
ExecBuildProjectionInfo(conv_tl, econtext,
mtstate->mt_mergeproj,
&mtstate->ps,
partrelDesc);
if (action_state->matched)
matchedActionStates =
lappend(matchedActionStates, action_state);
else
notMatchedActionStates =
lappend(notMatchedActionStates, action_state);
}
leaf_part_rri->ri_mergeState->matchedActionStates =
matchedActionStates;
leaf_part_rri->ri_mergeState->notMatchedActionStates =
notMatchedActionStates;
}
/*
* get_partition_dispatch_recurse() and expand_partitioned_rtentry()
* fetch the leaf OIDs in the same order. So we can safely derive the
* index of the merge target relation corresponding to this partition
* by simply adding partidx + 1 to the root's merge target relation.
*/
leaf_part_rri->ri_mergeTargetRTI = node->mergeTargetRelation +
partidx + 1;
}
MemoryContextSwitchTo(oldContext);
return leaf_part_rri;
}
/*
* ExecInitRoutingInfo
* Set up information needed for routing tuples to a leaf partition if
* routable; else abort the operation
*/
void
ExecInitRoutingInfo(ModifyTableState *mtstate,
EState *estate,
PartitionTupleRouting *proute,
ResultRelInfo *partRelInfo,
int partidx)
{
MemoryContext oldContext;
/* Verify the partition is a valid target for INSERT */
CheckValidResultRel(partRelInfo, CMD_INSERT);
/*
* Switch into per-query memory context.
*/
oldContext = MemoryContextSwitchTo(estate->es_query_cxt);
/*
* Set up a tuple conversion map to convert a tuple routed to the
* partition from the parent's type to the partition's.
*/
proute->parent_child_tupconv_maps[partidx] =
convert_tuples_by_name(RelationGetDescr(partRelInfo->ri_PartitionRoot),
RelationGetDescr(partRelInfo->ri_RelationDesc),
gettext_noop("could not convert row type"));
/*
* If the partition is a foreign table, let the FDW init itself for
* routing tuples to the partition.
*/
if (partRelInfo->ri_FdwRoutine != NULL &&
partRelInfo->ri_FdwRoutine->BeginForeignInsert != NULL)
partRelInfo->ri_FdwRoutine->BeginForeignInsert(mtstate, partRelInfo);
MemoryContextSwitchTo(oldContext);
partRelInfo->ri_PartitionReadyForRouting = true;
}
/*
* ExecSetupChildParentMapForLeaf -- Initialize the per-leaf-partition
* child-to-root tuple conversion map array.
*
* This map is required for capturing transition tuples when the target table
* is a partitioned table. For a tuple that is routed by an INSERT or UPDATE,
* we need to convert it from the leaf partition to the target table
* descriptor.
*/
void
ExecSetupChildParentMapForLeaf(PartitionTupleRouting *proute)
{
Assert(proute != NULL);
/*
* These array elements get filled up with maps on an on-demand basis.
* Initially just set all of them to NULL.
*/
proute->child_parent_tupconv_maps =
(TupleConversionMap **) palloc0(sizeof(TupleConversionMap *) *
proute->num_partitions);
/* Same is the case for this array. All the values are set to false */
proute->child_parent_map_not_required =
(bool *) palloc0(sizeof(bool) * proute->num_partitions);
}
/*
* TupConvMapForLeaf -- Get the tuple conversion map for a given leaf partition
* index.
*/
TupleConversionMap *
TupConvMapForLeaf(PartitionTupleRouting *proute,
ResultRelInfo *rootRelInfo, int leaf_index)
{
ResultRelInfo **resultRelInfos = proute->partitions;
TupleConversionMap **map;
TupleDesc tupdesc;
/* Don't call this if we're not supposed to be using this type of map. */
Assert(proute->child_parent_tupconv_maps != NULL);
/* If it's already known that we don't need a map, return NULL. */
if (proute->child_parent_map_not_required[leaf_index])
return NULL;
/* If we've already got a map, return it. */
map = &proute->child_parent_tupconv_maps[leaf_index];
if (*map != NULL)
return *map;
/* No map yet; try to create one. */
tupdesc = RelationGetDescr(resultRelInfos[leaf_index]->ri_RelationDesc);
*map =
convert_tuples_by_name(tupdesc,
RelationGetDescr(rootRelInfo->ri_RelationDesc),
gettext_noop("could not convert row type"));
/* If it turns out no map is needed, remember for next time. */
proute->child_parent_map_not_required[leaf_index] = (*map == NULL);
return *map;
}
/*
* ConvertPartitionTupleSlot -- convenience function for tuple conversion.
* The tuple, if converted, is stored in new_slot, and *p_my_slot is
* updated to point to it. new_slot typically should be one of the
* dedicated partition tuple slots. If map is NULL, *p_my_slot is not changed.
*
* Returns the converted tuple, unless map is NULL, in which case original
* tuple is returned unmodified.
*/
HeapTuple
ConvertPartitionTupleSlot(TupleConversionMap *map,
HeapTuple tuple,
TupleTableSlot *new_slot,
TupleTableSlot **p_my_slot)
{
if (!map)
return tuple;
tuple = do_convert_tuple(tuple, map);
/*
* Change the partition tuple slot descriptor, as per converted tuple.
*/
*p_my_slot = new_slot;
Assert(new_slot != NULL);
ExecSetSlotDescriptor(new_slot, map->outdesc);
ExecStoreTuple(tuple, new_slot, InvalidBuffer, true);
return tuple;
}
/*
* ExecCleanupTupleRouting -- Clean up objects allocated for partition tuple
* routing.
*
* Close all the partitioned tables, leaf partitions, and their indices.
*/
void
ExecCleanupTupleRouting(ModifyTableState *mtstate,
PartitionTupleRouting *proute)
{
int i;
int subplan_index = 0;
/*
* Remember, proute->partition_dispatch_info[0] corresponds to the root
* partitioned table, which we must not try to close, because it is the
* main target table of the query that will be closed by callers such as
* ExecEndPlan() or DoCopy(). Also, tupslot is NULL for the root
* partitioned table.
*/
for (i = 1; i < proute->num_dispatch; i++)
{
PartitionDispatch pd = proute->partition_dispatch_info[i];
heap_close(pd->reldesc, NoLock);
ExecDropSingleTupleTableSlot(pd->tupslot);
}
for (i = 0; i < proute->num_partitions; i++)
{
ResultRelInfo *resultRelInfo = proute->partitions[i];
/* skip further processsing for uninitialized partitions */
if (resultRelInfo == NULL)
continue;
/* Allow any FDWs to shut down if they've been exercised */
if (resultRelInfo->ri_PartitionReadyForRouting &&
resultRelInfo->ri_FdwRoutine != NULL &&
resultRelInfo->ri_FdwRoutine->EndForeignInsert != NULL)
resultRelInfo->ri_FdwRoutine->EndForeignInsert(mtstate->ps.state,
resultRelInfo);
/*
* If this result rel is one of the UPDATE subplan result rels, let
* ExecEndPlan() close it. For INSERT or COPY,
* proute->subplan_partition_offsets will always be NULL. Note that
* the subplan_partition_offsets array and the partitions array have
* the partitions in the same order. So, while we iterate over
* partitions array, we also iterate over the
* subplan_partition_offsets array in order to figure out which of the
* result rels are present in the UPDATE subplans.
*/
if (proute->subplan_partition_offsets &&
subplan_index < proute->num_subplan_partition_offsets &&
proute->subplan_partition_offsets[subplan_index] == i)
{
subplan_index++;
continue;
}
ExecCloseIndices(resultRelInfo);
heap_close(resultRelInfo->ri_RelationDesc, NoLock);
}
/* Release the standalone partition tuple descriptors, if any */
if (proute->root_tuple_slot)
ExecDropSingleTupleTableSlot(proute->root_tuple_slot);
if (proute->partition_tuple_slot)
ExecDropSingleTupleTableSlot(proute->partition_tuple_slot);
}
/*
* RelationGetPartitionDispatchInfo
* Returns information necessary to route tuples down a partition tree
*
* The number of elements in the returned array (that is, the number of
* PartitionDispatch objects for the partitioned tables in the partition tree)
* is returned in *num_parted and a list of the OIDs of all the leaf
* partitions of rel is returned in *leaf_part_oids.
*
* All the relations in the partition tree (including 'rel') must have been
* locked (using at least the AccessShareLock) by the caller.
*/
static PartitionDispatch *
RelationGetPartitionDispatchInfo(Relation rel,
int *num_parted, List **leaf_part_oids)
{
List *pdlist = NIL;
PartitionDispatchData **pd;
ListCell *lc;
int i;
Assert(rel->rd_rel->relkind == RELKIND_PARTITIONED_TABLE);
*num_parted = 0;
*leaf_part_oids = NIL;
get_partition_dispatch_recurse(rel, NULL, &pdlist, leaf_part_oids);
*num_parted = list_length(pdlist);
pd = (PartitionDispatchData **) palloc(*num_parted *
sizeof(PartitionDispatchData *));
i = 0;
foreach(lc, pdlist)
{
pd[i++] = lfirst(lc);
}
return pd;
}
/*
* get_partition_dispatch_recurse
* Recursively expand partition tree rooted at rel
*
* As the partition tree is expanded in a depth-first manner, we maintain two
* global lists: of PartitionDispatch objects corresponding to partitioned
* tables in *pds and of the leaf partition OIDs in *leaf_part_oids.
*
* Note that the order of OIDs of leaf partitions in leaf_part_oids matches
* the order in which the planner's expand_partitioned_rtentry() processes
* them. It's not necessarily the case that the offsets match up exactly,
* because constraint exclusion might prune away some partitions on the
* planner side, whereas we'll always have the complete list; but unpruned
* partitions will appear in the same order in the plan as they are returned
* here.
*/
static void
get_partition_dispatch_recurse(Relation rel, Relation parent,
List **pds, List **leaf_part_oids)
{
TupleDesc tupdesc = RelationGetDescr(rel);
PartitionDesc partdesc = RelationGetPartitionDesc(rel);
PartitionKey partkey = RelationGetPartitionKey(rel);
PartitionDispatch pd;
int i;
check_stack_depth();
/* Build a PartitionDispatch for this table and add it to *pds. */
pd = (PartitionDispatch) palloc(sizeof(PartitionDispatchData));
*pds = lappend(*pds, pd);
pd->reldesc = rel;
pd->key = partkey;
pd->keystate = NIL;
pd->partdesc = partdesc;
if (parent != NULL)
{
/*
* For every partitioned table other than the root, we must store a
* tuple table slot initialized with its tuple descriptor and a tuple
* conversion map to convert a tuple from its parent's rowtype to its
* own. That is to make sure that we are looking at the correct row
* using the correct tuple descriptor when computing its partition key
* for tuple routing.
*/
pd->tupslot = MakeSingleTupleTableSlot(tupdesc);
pd->tupmap = convert_tuples_by_name(RelationGetDescr(parent),
tupdesc,
gettext_noop("could not convert row type"));
}
else
{
/* Not required for the root partitioned table */
pd->tupslot = NULL;
pd->tupmap = NULL;
}
/*
* Go look at each partition of this table. If it's a leaf partition,
* simply add its OID to *leaf_part_oids. If it's a partitioned table,
* recursively call get_partition_dispatch_recurse(), so that its
* partitions are processed as well and a corresponding PartitionDispatch
* object gets added to *pds.
*
* About the values in pd->indexes: for a leaf partition, it contains the
* leaf partition's position in the global list *leaf_part_oids minus 1,
* whereas for a partitioned table partition, it contains the partition's
* position in the global list *pds multiplied by -1. The latter is
* multiplied by -1 to distinguish partitioned tables from leaf partitions
* when going through the values in pd->indexes. So, for example, when
* using it during tuple-routing, encountering a value >= 0 means we found
* a leaf partition. It is immediately returned as the index in the array
* of ResultRelInfos of all the leaf partitions, using which we insert the
* tuple into that leaf partition. A negative value means we found a
* partitioned table. The value multiplied by -1 is returned as the index
* in the array of PartitionDispatch objects of all partitioned tables in
* the tree. This value is used to continue the search in the next level
* of the partition tree.
*/
pd->indexes = (int *) palloc(partdesc->nparts * sizeof(int));
for (i = 0; i < partdesc->nparts; i++)
{
Oid partrelid = partdesc->oids[i];
if (get_rel_relkind(partrelid) != RELKIND_PARTITIONED_TABLE)
{
*leaf_part_oids = lappend_oid(*leaf_part_oids, partrelid);
pd->indexes[i] = list_length(*leaf_part_oids) - 1;
}
else
{
/*
* We assume all tables in the partition tree were already locked
* by the caller.
*/
Relation partrel = heap_open(partrelid, NoLock);
pd->indexes[i] = -list_length(*pds);
get_partition_dispatch_recurse(partrel, rel, pds, leaf_part_oids);
}
}
}
/* ----------------
* FormPartitionKeyDatum
* Construct values[] and isnull[] arrays for the partition key
* of a tuple.
*
* pd Partition dispatch object of the partitioned table
* slot Heap tuple from which to extract partition key
* estate executor state for evaluating any partition key
* expressions (must be non-NULL)
* values Array of partition key Datums (output area)
* isnull Array of is-null indicators (output area)
*
* the ecxt_scantuple slot of estate's per-tuple expr context must point to
* the heap tuple passed in.
* ----------------
*/
static void
FormPartitionKeyDatum(PartitionDispatch pd,
TupleTableSlot *slot,
EState *estate,
Datum *values,
bool *isnull)
{
ListCell *partexpr_item;
int i;
if (pd->key->partexprs != NIL && pd->keystate == NIL)
{
/* Check caller has set up context correctly */
Assert(estate != NULL &&
GetPerTupleExprContext(estate)->ecxt_scantuple == slot);
/* First time through, set up expression evaluation state */
pd->keystate = ExecPrepareExprList(pd->key->partexprs, estate);
}
partexpr_item = list_head(pd->keystate);
for (i = 0; i < pd->key->partnatts; i++)
{
AttrNumber keycol = pd->key->partattrs[i];
Datum datum;
bool isNull;
if (keycol != 0)
{
/* Plain column; get the value directly from the heap tuple */
datum = slot_getattr(slot, keycol, &isNull);
}
else
{
/* Expression; need to evaluate it */
if (partexpr_item == NULL)
elog(ERROR, "wrong number of partition key expressions");
datum = ExecEvalExprSwitchContext((ExprState *) lfirst(partexpr_item),
GetPerTupleExprContext(estate),
&isNull);
partexpr_item = lnext(partexpr_item);
}
values[i] = datum;
isnull[i] = isNull;
}
if (partexpr_item != NULL)
elog(ERROR, "wrong number of partition key expressions");
}
/*
* ExecBuildSlotPartitionKeyDescription
*
* This works very much like BuildIndexValueDescription() and is currently
* used for building error messages when ExecFindPartition() fails to find
* partition for a row.
*/
static char *
ExecBuildSlotPartitionKeyDescription(Relation rel,
Datum *values,
bool *isnull,
int maxfieldlen)
{
StringInfoData buf;
PartitionKey key = RelationGetPartitionKey(rel);
int partnatts = get_partition_natts(key);
int i;
Oid relid = RelationGetRelid(rel);
AclResult aclresult;
if (check_enable_rls(relid, InvalidOid, true) == RLS_ENABLED)
return NULL;
/* If the user has table-level access, just go build the description. */
aclresult = pg_class_aclcheck(relid, GetUserId(), ACL_SELECT);
if (aclresult != ACLCHECK_OK)
{
/*
* Step through the columns of the partition key and make sure the
* user has SELECT rights on all of them.
*/
for (i = 0; i < partnatts; i++)
{
AttrNumber attnum = get_partition_col_attnum(key, i);
/*
* If this partition key column is an expression, we return no
* detail rather than try to figure out what column(s) the
* expression includes and if the user has SELECT rights on them.
*/
if (attnum == InvalidAttrNumber ||
pg_attribute_aclcheck(relid, attnum, GetUserId(),
ACL_SELECT) != ACLCHECK_OK)
return NULL;
}
}
initStringInfo(&buf);
appendStringInfo(&buf, "(%s) = (",
pg_get_partkeydef_columns(relid, true));
for (i = 0; i < partnatts; i++)
{
char *val;
int vallen;
if (isnull[i])
val = "null";
else
{
Oid foutoid;
bool typisvarlena;
getTypeOutputInfo(get_partition_col_typid(key, i),
&foutoid, &typisvarlena);
val = OidOutputFunctionCall(foutoid, values[i]);
}
if (i > 0)
appendStringInfoString(&buf, ", ");
/* truncate if needed */
vallen = strlen(val);
if (vallen <= maxfieldlen)
appendStringInfoString(&buf, val);
else
{
vallen = pg_mbcliplen(val, vallen, maxfieldlen);
appendBinaryStringInfo(&buf, val, vallen);
appendStringInfoString(&buf, "...");
}
}
appendStringInfoChar(&buf, ')');
return buf.data;
}
/*
* adjust_partition_tlist
* Adjust the targetlist entries for a given partition to account for
* attribute differences between parent and the partition
*
* The expressions have already been fixed, but here we fix the list to make
* target resnos match the partition's attribute numbers. This results in a
* copy of the original target list in which the entries appear in resno
* order, including both the existing entries (that may have their resno
* changed in-place) and the newly added entries for columns that don't exist
* in the parent.
*
* Scribbles on the input tlist, so callers must make sure to make a copy
* before passing it to us.
*/
static List *
adjust_partition_tlist(List *tlist, TupleConversionMap *map)
{
List *new_tlist = NIL;
TupleDesc tupdesc = map->outdesc;
AttrNumber *attrMap = map->attrMap;
AttrNumber attrno;
for (attrno = 1; attrno <= tupdesc->natts; attrno++)
{
Form_pg_attribute att_tup = TupleDescAttr(tupdesc, attrno - 1);
TargetEntry *tle;
if (attrMap[attrno - 1] != InvalidAttrNumber)
{
Assert(!att_tup->attisdropped);
/*
* Use the corresponding entry from the parent's tlist, adjusting
* the resno the match the partition's attno.
*/
tle = (TargetEntry *) list_nth(tlist, attrMap[attrno - 1] - 1);
tle->resno = attrno;
}
else
{
Const *expr;
/*
* For a dropped attribute in the partition, generate a dummy
* entry with resno matching the partition's attno.
*/
Assert(att_tup->attisdropped);
expr = makeConst(INT4OID,
-1,
InvalidOid,
sizeof(int32),
(Datum) 0,
true, /* isnull */
true /* byval */ );
tle = makeTargetEntry((Expr *) expr,
attrno,
pstrdup(NameStr(att_tup->attname)),
false);
}
new_tlist = lappend(new_tlist, tle);
}
return new_tlist;
}
Support partition pruning at execution time Existing partition pruning is only able to work at plan time, for query quals that appear in the parsed query. This is good but limiting, as there can be parameters that appear later that can be usefully used to further prune partitions. This commit adds support for pruning subnodes of Append which cannot possibly contain any matching tuples, during execution, by evaluating Params to determine the minimum set of subnodes that can possibly match. We support more than just simple Params in WHERE clauses. Support additionally includes: 1. Parameterized Nested Loop Joins: The parameter from the outer side of the join can be used to determine the minimum set of inner side partitions to scan. 2. Initplans: Once an initplan has been executed we can then determine which partitions match the value from the initplan. Partition pruning is performed in two ways. When Params external to the plan are found to match the partition key we attempt to prune away unneeded Append subplans during the initialization of the executor. This allows us to bypass the initialization of non-matching subplans meaning they won't appear in the EXPLAIN or EXPLAIN ANALYZE output. For parameters whose value is only known during the actual execution then the pruning of these subplans must wait. Subplans which are eliminated during this stage of pruning are still visible in the EXPLAIN output. In order to determine if pruning has actually taken place, the EXPLAIN ANALYZE must be viewed. If a certain Append subplan was never executed due to the elimination of the partition then the execution timing area will state "(never executed)". Whereas, if, for example in the case of parameterized nested loops, the number of loops stated in the EXPLAIN ANALYZE output for certain subplans may appear lower than others due to the subplan having been scanned fewer times. This is due to the list of matching subnodes having to be evaluated whenever a parameter which was found to match the partition key changes. This commit required some additional infrastructure that permits the building of a data structure which is able to perform the translation of the matching partition IDs, as returned by get_matching_partitions, into the list index of a subpaths list, as exist in node types such as Append, MergeAppend and ModifyTable. This allows us to translate a list of clauses into a Bitmapset of all the subpath indexes which must be included to satisfy the clause list. Author: David Rowley, based on an earlier effort by Beena Emerson Reviewers: Amit Langote, Robert Haas, Amul Sul, Rajkumar Raghuwanshi, Jesper Pedersen Discussion: https://postgr.es/m/CAOG9ApE16ac-_VVZVvv0gePSgkg_BwYEV1NBqZFqDR2bBE0X0A@mail.gmail.com
2018-04-07 22:54:31 +02:00
/*-------------------------------------------------------------------------
* Run-Time Partition Pruning Support.
*
* The following series of functions exist to support the removal of unneeded
* subnodes for queries against partitioned tables. The supporting functions
* here are designed to work with any node type which supports an arbitrary
* number of subnodes, e.g. Append, MergeAppend.
*
* Normally this pruning work is performed by the query planner's partition
* pruning code, however, the planner is limited to only being able to prune
* away unneeded partitions using quals which compare the partition key to a
* value which is known to be Const during planning. To allow the same
* pruning to be performed for values which are only determined during
* execution, we must make an additional pruning attempt during execution.
*
* Here we support pruning using both external and exec Params. The main
* difference between these that we need to concern ourselves with is the
* time when the values of the Params are known. External Param values are
* known at any time of execution, including executor startup, but exec Param
* values are only known when the executor is running.
*
* For external Params we may be able to prune away unneeded partitions
* during executor startup. This has the added benefit of not having to
* initialize the unneeded subnodes at all. This is useful as it can save
* quite a bit of effort during executor startup.
*
* For exec Params, we must delay pruning until the executor is running.
*
* Functions:
*
* ExecSetupPartitionPruneState:
* This must be called by nodes before any partition pruning is
* attempted. Normally executor startup is a good time. This function
* creates the PartitionPruneState details which are required by each
* of the two pruning functions, details include information about
* how to map the partition index details which are returned by the
* planner's partition prune function into subnode indexes.
*
* ExecFindInitialMatchingSubPlans:
* Returns indexes of matching subnodes utilizing only external Params
* to eliminate subnodes. The function must only be called during
* executor startup for the given node before the subnodes themselves
* are initialized. Subnodes which are found not to match by this
* function must not be included in the node's list of subnodes as this
* function performs a remap of the partition index to subplan index map
* and the newly created map provides indexes only for subnodes which
* remain after calling this function.
*
* ExecFindMatchingSubPlans:
* Returns indexes of matching subnodes utilizing all Params to eliminate
* subnodes which can't possibly contain matching tuples. This function
* can only be called while the executor is running.
*-------------------------------------------------------------------------
*/
/*
* ExecSetupPartitionPruneState
* Setup the required data structure which is required for calling
* ExecFindInitialMatchingSubPlans and ExecFindMatchingSubPlans.
*
* 'partitionpruneinfo' is a List of PartitionPruneInfos as generated by
* make_partition_pruneinfo. Here we build a PartitionPruneContext for each
* item in the List. These contexts can be re-used each time we re-evaulate
* which partitions match the pruning steps provided in each
* PartitionPruneInfo.
*/
PartitionPruneState *
ExecSetupPartitionPruneState(PlanState *planstate, List *partitionpruneinfo)
{
PartitionPruningData *prunedata;
PartitionPruneState *prunestate;
ListCell *lc;
int i;
Assert(partitionpruneinfo != NIL);
prunestate = (PartitionPruneState *) palloc(sizeof(PartitionPruneState));
prunedata = (PartitionPruningData *)
palloc(sizeof(PartitionPruningData) * list_length(partitionpruneinfo));
/*
* The first item in the array contains the details for the query's target
* partition, so record that as the root of the partition hierarchy.
*/
prunestate->partprunedata = prunedata;
prunestate->num_partprunedata = list_length(partitionpruneinfo);
prunestate->extparams = NULL;
prunestate->execparams = NULL;
/*
* Create a sub memory context which we'll use when making calls to the
* query planner's function to determine which partitions will match. The
* planner is not too careful about freeing memory, so we'll ensure we
* call the function in this context to avoid any memory leaking in the
* executor's memory context.
*/
prunestate->prune_context =
AllocSetContextCreate(CurrentMemoryContext,
"Partition Prune",
ALLOCSET_DEFAULT_SIZES);
i = 0;
foreach(lc, partitionpruneinfo)
{
PartitionPruneInfo *pinfo = (PartitionPruneInfo *) lfirst(lc);
PartitionPruningData *pprune = &prunedata[i];
PartitionPruneContext *context = &pprune->context;
PartitionDesc partdesc;
Relation rel;
PartitionKey partkey;
int partnatts;
pprune->present_parts = bms_copy(pinfo->present_parts);
pprune->subnode_map = palloc(sizeof(int) * pinfo->nparts);
/*
* We must make a copy of this rather than pointing directly to the
* plan's version as we may end up making modifications to it later.
*/
memcpy(pprune->subnode_map, pinfo->subnode_map,
sizeof(int) * pinfo->nparts);
/* We can use the subpart_map verbatim, since we never modify it */
pprune->subpart_map = pinfo->subpart_map;
/*
* Grab some info from the table's relcache; lock was already obtained
* by ExecLockNonLeafAppendTables.
*/
rel = relation_open(pinfo->reloid, NoLock);
partkey = RelationGetPartitionKey(rel);
partdesc = RelationGetPartitionDesc(rel);
context->strategy = partkey->strategy;
context->partnatts = partnatts = partkey->partnatts;
context->partopfamily = partkey->partopfamily;
context->partopcintype = partkey->partopcintype;
context->partcollation = partkey->partcollation;
context->partsupfunc = partkey->partsupfunc;
context->nparts = pinfo->nparts;
context->boundinfo = partition_bounds_copy(partdesc->boundinfo, partkey);
context->planstate = planstate;
context->safeparams = NULL; /* empty for now */
pprune->pruning_steps = pinfo->pruning_steps;
pprune->extparams = bms_copy(pinfo->extparams);
pprune->allparams = bms_union(pinfo->extparams, pinfo->execparams);
/*
* Accumulate the paramids which match the partitioned keys of all
* partitioned tables.
*/
prunestate->extparams = bms_add_members(prunestate->extparams,
pinfo->extparams);
prunestate->execparams = bms_add_members(prunestate->execparams,
pinfo->execparams);
relation_close(rel, NoLock);
i++;
}
/*
* Cache the union of the paramids of both types. This saves having to
* recalculate it everytime we need to know what they are.
*/
prunestate->allparams = bms_union(prunestate->extparams,
prunestate->execparams);
return prunestate;
}
/*
* ExecFindInitialMatchingSubPlans
* Determine which subset of subplan nodes we need to initialize based
* on the details stored in 'prunestate'. Here we only determine the
* matching partitions using values known during plan startup, which is
* only external Params. Exec Params will be unknown at this time. We
* must delay pruning using exec Params until the actual executor run.
*
* It is expected that callers of this function do so only once during their
* init plan. The caller must only initialize the subnodes which are returned
* by this function. The remaining subnodes should be discarded. Once this
* function has been called, future calls to ExecFindMatchingSubPlans will
* return its matching subnode indexes assuming that the caller discarded
* the original non-matching subnodes.
*
* This function must only be called if 'prunestate' has any extparams.
*
* 'nsubnodes' must be passed as the total number of unpruned subnodes.
*/
Bitmapset *
ExecFindInitialMatchingSubPlans(PartitionPruneState *prunestate, int nsubnodes)
{
PartitionPruningData *pprune;
MemoryContext oldcontext;
Bitmapset *result = NULL;
/*
* Ensure there's actually external params, or we've not been called
* already.
*/
Assert(!bms_is_empty(prunestate->extparams));
pprune = prunestate->partprunedata;
/*
* Switch to a temp context to avoid leaking memory in the executor's
* memory context.
*/
oldcontext = MemoryContextSwitchTo(prunestate->prune_context);
/* Determine which subnodes match the external params */
find_subplans_for_params_recurse(prunestate, pprune, false, &result);
MemoryContextSwitchTo(oldcontext);
/* Move to the correct memory context */
result = bms_copy(result);
MemoryContextReset(prunestate->prune_context);
/*
* Record that partition pruning has been performed for external params.
* These are not required again afterwards, and nullifying them helps
* ensure nothing accidentally calls this function twice on the same
* PartitionPruneState.
*
* (Note we keep prunestate->allparams, because we do use that one
* repeatedly in ExecFindMatchingSubPlans).
Support partition pruning at execution time Existing partition pruning is only able to work at plan time, for query quals that appear in the parsed query. This is good but limiting, as there can be parameters that appear later that can be usefully used to further prune partitions. This commit adds support for pruning subnodes of Append which cannot possibly contain any matching tuples, during execution, by evaluating Params to determine the minimum set of subnodes that can possibly match. We support more than just simple Params in WHERE clauses. Support additionally includes: 1. Parameterized Nested Loop Joins: The parameter from the outer side of the join can be used to determine the minimum set of inner side partitions to scan. 2. Initplans: Once an initplan has been executed we can then determine which partitions match the value from the initplan. Partition pruning is performed in two ways. When Params external to the plan are found to match the partition key we attempt to prune away unneeded Append subplans during the initialization of the executor. This allows us to bypass the initialization of non-matching subplans meaning they won't appear in the EXPLAIN or EXPLAIN ANALYZE output. For parameters whose value is only known during the actual execution then the pruning of these subplans must wait. Subplans which are eliminated during this stage of pruning are still visible in the EXPLAIN output. In order to determine if pruning has actually taken place, the EXPLAIN ANALYZE must be viewed. If a certain Append subplan was never executed due to the elimination of the partition then the execution timing area will state "(never executed)". Whereas, if, for example in the case of parameterized nested loops, the number of loops stated in the EXPLAIN ANALYZE output for certain subplans may appear lower than others due to the subplan having been scanned fewer times. This is due to the list of matching subnodes having to be evaluated whenever a parameter which was found to match the partition key changes. This commit required some additional infrastructure that permits the building of a data structure which is able to perform the translation of the matching partition IDs, as returned by get_matching_partitions, into the list index of a subpaths list, as exist in node types such as Append, MergeAppend and ModifyTable. This allows us to translate a list of clauses into a Bitmapset of all the subpath indexes which must be included to satisfy the clause list. Author: David Rowley, based on an earlier effort by Beena Emerson Reviewers: Amit Langote, Robert Haas, Amul Sul, Rajkumar Raghuwanshi, Jesper Pedersen Discussion: https://postgr.es/m/CAOG9ApE16ac-_VVZVvv0gePSgkg_BwYEV1NBqZFqDR2bBE0X0A@mail.gmail.com
2018-04-07 22:54:31 +02:00
*/
bms_free(prunestate->extparams);
prunestate->extparams = NULL;
/*
* If any subnodes were pruned, we must re-sequence the subnode indexes so
* that ExecFindMatchingSubPlans properly returns the indexes from the
* subnodes which will remain after execution of this function.
*/
if (bms_num_members(result) < nsubnodes)
{
int *new_subnode_indexes;
int i;
int newidx;
/*
* First we must build an array which we can use to adjust the
* existing subnode_map so that it contains the new subnode indexes.
*/
new_subnode_indexes = (int *) palloc(sizeof(int) * nsubnodes);
newidx = 0;
for (i = 0; i < nsubnodes; i++)
{
if (bms_is_member(i, result))
new_subnode_indexes[i] = newidx++;
else
new_subnode_indexes[i] = -1; /* Newly pruned */
}
/*
* Now we can re-sequence each PartitionPruneInfo's subnode_map so
* that they point to the new index of the subnode.
*/
for (i = 0; i < prunestate->num_partprunedata; i++)
{
int nparts;
int j;
pprune = &prunestate->partprunedata[i];
nparts = pprune->context.nparts;
/*
* We also need to reset the present_parts field so that it only
* contains partition indexes that we actually still have subnodes
* for. It seems easier to build a fresh one, rather than trying
* to update the existing one.
*/
bms_free(pprune->present_parts);
pprune->present_parts = NULL;
for (j = 0; j < nparts; j++)
{
int oldidx = pprune->subnode_map[j];
/*
* If this partition existed as a subnode then change the old
* subnode index to the new subnode index. The new index may
* become -1 if the partition was pruned above, or it may just
* come earlier in the subnode list due to some subnodes being
* removed earlier in the list.
*/
if (oldidx >= 0)
{
pprune->subnode_map[j] = new_subnode_indexes[oldidx];
if (new_subnode_indexes[oldidx] >= 0)
pprune->present_parts =
bms_add_member(pprune->present_parts, j);
}
}
}
pfree(new_subnode_indexes);
}
return result;
}
/*
* ExecFindMatchingSubPlans
* Determine which subplans match the pruning steps detailed in
Support partition pruning at execution time Existing partition pruning is only able to work at plan time, for query quals that appear in the parsed query. This is good but limiting, as there can be parameters that appear later that can be usefully used to further prune partitions. This commit adds support for pruning subnodes of Append which cannot possibly contain any matching tuples, during execution, by evaluating Params to determine the minimum set of subnodes that can possibly match. We support more than just simple Params in WHERE clauses. Support additionally includes: 1. Parameterized Nested Loop Joins: The parameter from the outer side of the join can be used to determine the minimum set of inner side partitions to scan. 2. Initplans: Once an initplan has been executed we can then determine which partitions match the value from the initplan. Partition pruning is performed in two ways. When Params external to the plan are found to match the partition key we attempt to prune away unneeded Append subplans during the initialization of the executor. This allows us to bypass the initialization of non-matching subplans meaning they won't appear in the EXPLAIN or EXPLAIN ANALYZE output. For parameters whose value is only known during the actual execution then the pruning of these subplans must wait. Subplans which are eliminated during this stage of pruning are still visible in the EXPLAIN output. In order to determine if pruning has actually taken place, the EXPLAIN ANALYZE must be viewed. If a certain Append subplan was never executed due to the elimination of the partition then the execution timing area will state "(never executed)". Whereas, if, for example in the case of parameterized nested loops, the number of loops stated in the EXPLAIN ANALYZE output for certain subplans may appear lower than others due to the subplan having been scanned fewer times. This is due to the list of matching subnodes having to be evaluated whenever a parameter which was found to match the partition key changes. This commit required some additional infrastructure that permits the building of a data structure which is able to perform the translation of the matching partition IDs, as returned by get_matching_partitions, into the list index of a subpaths list, as exist in node types such as Append, MergeAppend and ModifyTable. This allows us to translate a list of clauses into a Bitmapset of all the subpath indexes which must be included to satisfy the clause list. Author: David Rowley, based on an earlier effort by Beena Emerson Reviewers: Amit Langote, Robert Haas, Amul Sul, Rajkumar Raghuwanshi, Jesper Pedersen Discussion: https://postgr.es/m/CAOG9ApE16ac-_VVZVvv0gePSgkg_BwYEV1NBqZFqDR2bBE0X0A@mail.gmail.com
2018-04-07 22:54:31 +02:00
* 'pprune' for the current Param values.
*
* Here we utilize both external and exec Params for pruning.
*/
Bitmapset *
ExecFindMatchingSubPlans(PartitionPruneState *prunestate)
{
PartitionPruningData *pprune;
MemoryContext oldcontext;
Bitmapset *result = NULL;
pprune = prunestate->partprunedata;
/*
* Switch to a temp context to avoid leaking memory in the executor's
* memory context.
*/
oldcontext = MemoryContextSwitchTo(prunestate->prune_context);
find_subplans_for_params_recurse(prunestate, pprune, true, &result);
MemoryContextSwitchTo(oldcontext);
/* Move to the correct memory context */
result = bms_copy(result);
MemoryContextReset(prunestate->prune_context);
return result;
}
/*
* find_subplans_for_params_recurse
* Recursive worker function for ExecFindMatchingSubPlans and
* ExecFindInitialMatchingSubPlans
*/
static void
find_subplans_for_params_recurse(PartitionPruneState *prunestate,
PartitionPruningData *pprune,
bool allparams,
Bitmapset **validsubplans)
{
PartitionPruneContext *context = &pprune->context;
Bitmapset *partset;
Bitmapset *pruneparams;
int i;
/* Guard against stack overflow due to overly deep partition hierarchy. */
check_stack_depth();
/*
* Use only external params unless we've been asked to also use exec
* params too.
*/
if (allparams)
pruneparams = pprune->allparams;
else
pruneparams = pprune->extparams;
/*
* We only need to determine the matching partitions if there are any
* params matching the partition key at this level. If there are no
* matching params, then we can simply return all subnodes which belong to
* this parent partition. The planner should have already determined
* these to be the minimum possible set. We must still recursively visit
* any subpartitioned tables as we may find their partition keys match
* some Params at their level.
*/
if (!bms_is_empty(pruneparams))
{
context->safeparams = pruneparams;
partset = get_matching_partitions(context,
pprune->pruning_steps);
}
else
partset = pprune->present_parts;
/* Translate partset into subnode indexes */
i = -1;
while ((i = bms_next_member(partset, i)) >= 0)
{
if (pprune->subnode_map[i] >= 0)
*validsubplans = bms_add_member(*validsubplans,
pprune->subnode_map[i]);
else
{
int partidx = pprune->subpart_map[i];
if (partidx != -1)
find_subplans_for_params_recurse(prunestate,
&prunestate->partprunedata[partidx],
allparams, validsubplans);
else
{
/*
* This could only happen if clauses used in planning where
* more restrictive than those used here, or if the maps are
* somehow corrupt.
*/
elog(ERROR, "partition missing from subplans");
}
}
}
}