Columnar: use clause Vars for chunk group filtering. (#4856)

* Columnar: use clause Vars for chunk group filtering.

This solves #4780 and also provides a cleaner separation between chunk
group filtering and projection pushdown.

* Columnar: sort and deduplicate Vars pulled from clauses.

* Columnar: cleanup variable names.

* Columnar: remove alternate test output.

* Columnar: do not recurse when looking for whereClauseVars.

Co-authored-by: Jeff Davis <jefdavi@microsoft.com>
(cherry picked from commit 063e673038)
pull/5110/head
jeff-davis 2021-04-01 12:27:28 -07:00 committed by Jeff Davis
parent 5759233f15
commit f526eec6a8
3 changed files with 92 additions and 7 deletions

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@ -29,6 +29,7 @@
#else
#include "optimizer/clauses.h"
#include "optimizer/predtest.h"
#include "optimizer/var.h"
#endif
#include "optimizer/restrictinfo.h"
#include "storage/fd.h"
@ -62,6 +63,8 @@ struct TableReadState
List *projectedColumnList;
List *whereClauseList;
List *whereClauseVars;
MemoryContext stripeReadContext;
StripeBuffers *stripeBuffers;
uint32 readStripeCount;
@ -77,6 +80,7 @@ static StripeBuffers * LoadFilteredStripeBuffers(Relation relation,
TupleDesc tupleDescriptor,
List *projectedColumnList,
List *whereClauseList,
List *whereClauseVars,
int64 *chunkGroupsFiltered);
static void ReadStripeNextRow(StripeBuffers *stripeBuffers, List *projectedColumnList,
uint64 chunkIndex, uint64 chunkRowIndex,
@ -87,10 +91,11 @@ static ColumnBuffers * LoadColumnBuffers(Relation relation,
uint32 chunkCount, uint64 stripeOffset,
Form_pg_attribute attributeForm);
static bool * SelectedChunkMask(StripeSkipList *stripeSkipList,
List *projectedColumnList, List *whereClauseList,
List *whereClauseList, List *whereClauseVars,
int64 *chunkGroupsFiltered);
static List * BuildRestrictInfoList(List *whereClauseList);
static Node * BuildBaseConstraint(Var *variable);
static List * GetClauseVars(List *clauses, int natts);
static OpExpr * MakeOpExpression(Var *variable, int16 strategyNumber);
static Oid GetOperatorByType(Oid typeId, Oid accessMethodId, int16 strategyNumber);
static void UpdateConstraint(Node *baseConstraint, Datum minValue, Datum maxValue);
@ -142,6 +147,7 @@ ColumnarBeginRead(Relation relation, TupleDesc tupleDescriptor,
readState->stripeList = stripeList;
readState->projectedColumnList = projectedColumnList;
readState->whereClauseList = whereClauseList;
readState->whereClauseVars = GetClauseVars(whereClauseList, tupleDescriptor->natts);
readState->stripeBuffers = NULL;
readState->readStripeCount = 0;
readState->stripeReadRowCount = 0;
@ -218,6 +224,8 @@ ColumnarReadNextRow(TableReadState *readState, Datum *columnValues, bool *column
projectedColumnList,
readState->
whereClauseList,
readState->
whereClauseVars,
&readState->
chunkGroupsFiltered);
readState->readStripeCount++;
@ -400,7 +408,8 @@ ColumnarTableRowCount(Relation relation)
static StripeBuffers *
LoadFilteredStripeBuffers(Relation relation, StripeMetadata *stripeMetadata,
TupleDesc tupleDescriptor, List *projectedColumnList,
List *whereClauseList, int64 *chunkGroupsFiltered)
List *whereClauseList, List *whereClauseVars,
int64 *chunkGroupsFiltered)
{
uint32 columnIndex = 0;
uint32 columnCount = tupleDescriptor->natts;
@ -412,8 +421,8 @@ LoadFilteredStripeBuffers(Relation relation, StripeMetadata *stripeMetadata,
tupleDescriptor,
stripeMetadata->chunkCount);
bool *selectedChunkMask = SelectedChunkMask(stripeSkipList, projectedColumnList,
whereClauseList, chunkGroupsFiltered);
bool *selectedChunkMask = SelectedChunkMask(stripeSkipList, whereClauseList,
whereClauseVars, chunkGroupsFiltered);
StripeSkipList *selectedChunkSkipList =
SelectedChunkSkipList(stripeSkipList, projectedColumnMask,
@ -551,8 +560,8 @@ LoadColumnBuffers(Relation relation, ColumnChunkSkipNode *chunkSkipNodeArray,
* the chunk can be refuted by the given qualifier conditions.
*/
static bool *
SelectedChunkMask(StripeSkipList *stripeSkipList, List *projectedColumnList,
List *whereClauseList, int64 *chunkGroupsFiltered)
SelectedChunkMask(StripeSkipList *stripeSkipList, List *whereClauseList,
List *whereClauseVars, int64 *chunkGroupsFiltered)
{
ListCell *columnCell = NULL;
uint32 chunkIndex = 0;
@ -561,7 +570,7 @@ SelectedChunkMask(StripeSkipList *stripeSkipList, List *projectedColumnList,
bool *selectedChunkMask = palloc0(stripeSkipList->chunkCount * sizeof(bool));
memset(selectedChunkMask, true, stripeSkipList->chunkCount * sizeof(bool));
foreach(columnCell, projectedColumnList)
foreach(columnCell, whereClauseVars)
{
Var *column = lfirst(columnCell);
uint32 columnIndex = column->varattno - 1;
@ -693,6 +702,58 @@ BuildBaseConstraint(Var *variable)
}
/*
* GetClauseVars extracts the Vars from the given clauses for the purpose of
* building constraints that can be refuted by predicate_refuted_by(). It also
* deduplicates and sorts them.
*/
static List *
GetClauseVars(List *whereClauseList, int natts)
{
/*
* We don't recurse into or include aggregates, window functions, or
* PHVs. We don't expect any PHVs during execution; and Vars found inside
* an aggregate or window function aren't going to be useful in forming
* constraints that can be refuted.
*/
int flags = 0;
List *vars = pull_var_clause((Node *) whereClauseList, flags);
Var **deduplicate = palloc0(sizeof(Var *) * natts);
ListCell *lc;
foreach(lc, vars)
{
Node *node = lfirst(lc);
Assert(IsA(node, Var));
Var *var = (Var *) node;
int idx = var->varattno - 1;
if (deduplicate[idx] != NULL)
{
/* if they have the same varattno, the rest should be identical */
Assert(equal(var, deduplicate[idx]));
}
deduplicate[idx] = var;
}
List *whereClauseVars = NIL;
for (int i = 0; i < natts; i++)
{
Var *var = deduplicate[i];
if (var != NULL)
{
whereClauseVars = lappend(whereClauseVars, var);
}
}
pfree(deduplicate);
return whereClauseVars;
}
/*
* MakeOpExpression builds an operator expression node. This operator expression
* implements the operator clause as defined by the variable and the strategy

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@ -101,3 +101,13 @@ EXPLAIN (analyze on, costs off, timing off, summary off)
SELECT count(*) FROM multi_column_chunk_filtering WHERE a > 50000 AND b > 50000;
DROP TABLE multi_column_chunk_filtering;
--
-- https://github.com/citusdata/citus/issues/4780
--
create table part_table (id int) partition by range (id);
create table part_1_row partition of part_table for values from (150000) to (160000);
create table part_2_columnar partition of part_table for values from (0) to (150000) using columnar;
insert into part_table select generate_series(1,159999);
select filtered_row_count('select count(*) from part_table where id > 75000');
drop table part_table;

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@ -182,3 +182,17 @@ EXPLAIN (analyze on, costs off, timing off, summary off)
(5 rows)
DROP TABLE multi_column_chunk_filtering;
--
-- https://github.com/citusdata/citus/issues/4780
--
create table part_table (id int) partition by range (id);
create table part_1_row partition of part_table for values from (150000) to (160000);
create table part_2_columnar partition of part_table for values from (0) to (150000) using columnar;
insert into part_table select generate_series(1,159999);
select filtered_row_count('select count(*) from part_table where id > 75000');
filtered_row_count
---------------------------------------------------------------------
5000
(1 row)
drop table part_table;