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Revert "Show index search count in EXPLAIN ANALYZE."
This reverts commit 5ead85fbc8
.
This commit shows test failures with debug_parallel_query=regress. The
underlying issue needs to be debugged, so revert for now.
This commit is contained in:
@ -173,11 +173,10 @@ CREATE INDEX
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Buffers: shared hit=21864
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-> Bitmap Index Scan on bloomidx (cost=0.00..178436.00 rows=1 width=0) (actual time=20.005..20.005 rows=2300.00 loops=1)
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Index Cond: ((i2 = 898732) AND (i5 = 123451))
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Index Searches: 1
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Buffers: shared hit=19608
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Planning Time: 0.099 ms
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Execution Time: 22.632 ms
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(11 rows)
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(10 rows)
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</programlisting>
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</para>
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@ -209,15 +208,13 @@ CREATE INDEX
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Buffers: shared hit=6
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-> Bitmap Index Scan on btreeidx5 (cost=0.00..4.52 rows=11 width=0) (actual time=0.026..0.026 rows=7.00 loops=1)
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Index Cond: (i5 = 123451)
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Index Searches: 1
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Buffers: shared hit=3
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-> Bitmap Index Scan on btreeidx2 (cost=0.00..4.52 rows=11 width=0) (actual time=0.007..0.007 rows=8.00 loops=1)
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Index Cond: (i2 = 898732)
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Index Searches: 1
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Buffers: shared hit=3
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Planning Time: 0.264 ms
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Execution Time: 0.047 ms
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(15 rows)
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(13 rows)
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</programlisting>
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Although this query runs much faster than with either of the single
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indexes, we pay a penalty in index size. Each of the single-column
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@ -4234,32 +4234,16 @@ description | Waiting for a newly initialized WAL file to reach durable storage
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<note>
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<para>
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Index scans may sometimes perform multiple index searches per execution.
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Each index search increments <structname>pg_stat_all_indexes</structname>.<structfield>idx_scan</structfield>,
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Queries that use certain <acronym>SQL</acronym> constructs to search for
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rows matching any value out of a list or array of multiple scalar values
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(see <xref linkend="functions-comparisons"/>) perform multiple
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<quote>primitive</quote> index scans (up to one primitive scan per scalar
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value) during query execution. Each internal primitive index scan
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increments <structname>pg_stat_all_indexes</structname>.<structfield>idx_scan</structfield>,
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so it's possible for the count of index scans to significantly exceed the
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total number of index scan executor node executions.
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</para>
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<para>
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This can happen with queries that use certain <acronym>SQL</acronym>
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constructs to search for rows matching any value out of a list or array of
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multiple scalar values (see <xref linkend="functions-comparisons"/>). It
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can also happen to queries with a
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<literal><replaceable>column_name</replaceable> =
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<replaceable>value1</replaceable> OR
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<replaceable>column_name</replaceable> =
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<replaceable>value2</replaceable> ...</literal> construct, though only
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when the optimizer transforms the construct into an equivalent
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multi-valued array representation.
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</para>
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</note>
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<tip>
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<para>
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<command>EXPLAIN ANALYZE</command> outputs the total number of index
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searches performed by each index scan node. See
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<xref linkend="using-explain-analyze"/> for an example demonstrating how
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this works.
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</para>
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</tip>
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</sect2>
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@ -729,11 +729,9 @@ WHERE t1.unique1 < 10 AND t1.unique2 = t2.unique2;
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Buffers: shared hit=3 read=5 written=4
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-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..4.36 rows=10 width=0) (actual time=0.004..0.004 rows=10.00 loops=1)
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Index Cond: (unique1 < 10)
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Index Searches: 1
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Buffers: shared hit=2
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-> Index Scan using tenk2_unique2 on tenk2 t2 (cost=0.29..7.90 rows=1 width=244) (actual time=0.003..0.003 rows=1 loops=10)
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Index Cond: (unique2 = t1.unique2)
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Index Searches: 10
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Buffers: shared hit=24 read=6
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Planning:
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Buffers: shared hit=15 dirtied=9
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@ -792,7 +790,6 @@ WHERE t1.unique1 < 100 AND t1.unique2 = t2.unique2 ORDER BY t1.fivethous;
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Buffers: shared hit=92
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-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.013..0.013 rows=100.00 loops=1)
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Index Cond: (unique1 < 100)
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Index Searches: 1
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Buffers: shared hit=2
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Planning:
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Buffers: shared hit=12
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@ -808,58 +805,6 @@ WHERE t1.unique1 < 100 AND t1.unique2 = t2.unique2 ORDER BY t1.fivethous;
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shown.)
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</para>
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<para>
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Index Scan nodes (as well as Bitmap Index Scan and Index-Only Scan nodes)
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show an <quote>Index Searches</quote> line that reports the total number
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of searches across <emphasis>all</emphasis> node
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executions/<literal>loops</literal>:
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<screen>
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EXPLAIN ANALYZE SELECT * FROM tenk1 WHERE thousand IN (1, 500, 700, 999);
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QUERY PLAN
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-------------------------------------------------------------------&zwsp;---------------------------------------------------------
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Bitmap Heap Scan on tenk1 (cost=9.45..73.44 rows=40 width=244) (actual time=0.012..0.028 rows=40.00 loops=1)
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Recheck Cond: (thousand = ANY ('{1,500,700,999}'::integer[]))
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Heap Blocks: exact=39
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Buffers: shared hit=47
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-> Bitmap Index Scan on tenk1_thous_tenthous (cost=0.00..9.44 rows=40 width=0) (actual time=0.009..0.009 rows=40.00 loops=1)
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Index Cond: (thousand = ANY ('{1,500,700,999}'::integer[]))
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Index Searches: 4
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Buffers: shared hit=8
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Planning Time: 0.037 ms
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Execution Time: 0.034 ms
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</screen>
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Here we see a Bitmap Index Scan node that needed 4 separate index
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searches. The scan had to search the index from the
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<structname>tenk1_thous_tenthous</structname> index root page once per
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<type>integer</type> value from the predicate's <literal>IN</literal>
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construct. However, the number of index searches often won't have such a
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simple correspondence to the query predicate:
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<screen>
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EXPLAIN ANALYZE SELECT * FROM tenk1 WHERE thousand IN (1, 2, 3, 4);
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QUERY PLAN
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----------------------------------------------------------------------------------------------------------------------------------
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Bitmap Heap Scan on tenk1 (cost=9.45..73.44 rows=40 width=244) (actual time=0.009..0.019 rows=40.00 loops=1)
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Recheck Cond: (thousand = ANY ('{1,2,3,4}'::integer[]))
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Heap Blocks: exact=38
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Buffers: shared hit=40
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-> Bitmap Index Scan on tenk1_thous_tenthous (cost=0.00..9.44 rows=40 width=0) (actual time=0.005..0.005 rows=40.00 loops=1)
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Index Cond: (thousand = ANY ('{1,2,3,4}'::integer[]))
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Index Searches: 1
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Buffers: shared hit=2
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Planning Time: 0.029 ms
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Execution Time: 0.026 ms
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</screen>
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This variant of our <literal>IN</literal> query performed only 1 index
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search. It spent less time traversing the index (compared to the original
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query) because its <literal>IN</literal> construct uses values matching
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index tuples stored next to each other, on the same
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<structname>tenk1_thous_tenthous</structname> index leaf page.
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</para>
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<para>
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Another type of extra information is the number of rows removed by a
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filter condition:
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@ -916,7 +861,6 @@ EXPLAIN ANALYZE SELECT * FROM polygon_tbl WHERE f1 @> polygon '(0.5,2.0)';
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Index Scan using gpolygonind on polygon_tbl (cost=0.13..8.15 rows=1 width=85) (actual time=0.074..0.074 rows=0.00 loops=1)
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Index Cond: (f1 @> '((0.5,2))'::polygon)
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Rows Removed by Index Recheck: 1
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Index Searches: 1
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Buffers: shared hit=1
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Planning Time: 0.039 ms
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Execution Time: 0.098 ms
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@ -950,10 +894,8 @@ EXPLAIN (ANALYZE, BUFFERS OFF) SELECT * FROM tenk1 WHERE unique1 < 100 AND un
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-> BitmapAnd (cost=25.07..25.07 rows=10 width=0) (actual time=0.100..0.101 rows=0.00 loops=1)
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-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.027..0.027 rows=100.00 loops=1)
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Index Cond: (unique1 < 100)
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Index Searches: 1
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-> Bitmap Index Scan on tenk1_unique2 (cost=0.00..19.78 rows=999 width=0) (actual time=0.070..0.070 rows=999.00 loops=1)
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Index Cond: (unique2 > 9000)
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Index Searches: 1
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Planning Time: 0.162 ms
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Execution Time: 0.143 ms
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</screen>
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@ -981,7 +923,6 @@ EXPLAIN ANALYZE UPDATE tenk1 SET hundred = hundred + 1 WHERE unique1 < 100;
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Buffers: shared hit=4 read=2
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-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.031..0.031 rows=100.00 loops=1)
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Index Cond: (unique1 < 100)
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Index Searches: 1
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Buffers: shared read=2
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Planning Time: 0.151 ms
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Execution Time: 1.856 ms
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@ -1120,7 +1061,6 @@ EXPLAIN ANALYZE SELECT * FROM tenk1 WHERE unique1 < 100 AND unique2 > 9000
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Index Cond: (unique2 > 9000)
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Filter: (unique1 < 100)
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Rows Removed by Filter: 287
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Index Searches: 1
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Buffers: shared hit=16
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Planning Time: 0.077 ms
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Execution Time: 0.086 ms
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@ -506,11 +506,10 @@ EXPLAIN ANALYZE EXECUTE query(100, 200);
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Buffers: shared hit=4
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-> Index Scan using test_pkey on test (cost=0.29..10.27 rows=99 width=8) (actual time=0.009..0.025 rows=99.00 loops=1)
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Index Cond: ((id > 100) AND (id < 200))
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Index Searches: 1
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Buffers: shared hit=4
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Planning Time: 0.244 ms
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Execution Time: 0.073 ms
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(10 rows)
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(9 rows)
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</programlisting>
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</para>
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@ -1046,7 +1046,6 @@ SELECT count(*) FROM words WHERE word = 'caterpiler';
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-> Index Only Scan using wrd_word on wrd (cost=0.42..4.44 rows=1 width=0) (actual time=0.039..0.039 rows=0.00 loops=1)
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Index Cond: (word = 'caterpiler'::text)
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Heap Fetches: 0
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Index Searches: 1
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Planning time: 0.164 ms
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Execution time: 0.117 ms
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</programlisting>
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@ -1091,7 +1090,6 @@ SELECT word FROM words ORDER BY word <-> 'caterpiler' LIMIT 10;
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Limit (cost=0.29..1.06 rows=10 width=10) (actual time=187.222..188.257 rows=10.00 loops=1)
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-> Index Scan using wrd_trgm on wrd (cost=0.29..37020.87 rows=479829 width=10) (actual time=187.219..188.252 rows=10.00 loops=1)
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Order By: (word <-> 'caterpiler'::text)
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Index Searches: 1
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Planning time: 0.196 ms
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Execution time: 198.640 ms
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</programlisting>
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