Filter: (async_pt_3.a = local_tbl.a)
(15 rows)
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM local_tbl, async_pt WHERE local_tbl.a = async_pt.a AND local_tbl.c = 'bar';
QUERY PLAN
-------------------------------------------------------------------------------
Remote SQL: SELECT a, b, c FROM public.base_tbl2 WHERE ((a < 3000))
(20 rows)
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM local_tbl t1 LEFT JOIN (SELECT *, (SELECT count(*) FROM async_pt WHERE a < 3000) FROM async_pt WHERE a < 3000) t2 ON t1.a = t2.a;
QUERY PLAN
-----------------------------------------------------------------------------------------
Filter: (t1_3.b === 505)
(14 rows)
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM async_pt t1 WHERE t1.b === 505 LIMIT 1;
QUERY PLAN
-------------------------------------------------------------------------
DELETE FROM async_p1;
DELETE FROM async_p2;
DELETE FROM async_p3;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM async_pt;
QUERY PLAN
-------------------------------------------------------------------------
EXPLAIN (VERBOSE, COSTS OFF)
SELECT * FROM local_tbl, async_pt WHERE local_tbl.a = async_pt.a AND local_tbl.c = 'bar';
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM local_tbl, async_pt WHERE local_tbl.a = async_pt.a AND local_tbl.c = 'bar';
SELECT * FROM local_tbl, async_pt WHERE local_tbl.a = async_pt.a AND local_tbl.c = 'bar';
EXPLAIN (VERBOSE, COSTS OFF)
SELECT * FROM local_tbl t1 LEFT JOIN (SELECT *, (SELECT count(*) FROM async_pt WHERE a < 3000) FROM async_pt WHERE a < 3000) t2 ON t1.a = t2.a;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM local_tbl t1 LEFT JOIN (SELECT *, (SELECT count(*) FROM async_pt WHERE a < 3000) FROM async_pt WHERE a < 3000) t2 ON t1.a = t2.a;
SELECT * FROM local_tbl t1 LEFT JOIN (SELECT *, (SELECT count(*) FROM async_pt WHERE a < 3000) FROM async_pt WHERE a < 3000) t2 ON t1.a = t2.a;
EXPLAIN (VERBOSE, COSTS OFF)
SELECT * FROM async_pt t1 WHERE t1.b === 505 LIMIT 1;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM async_pt t1 WHERE t1.b === 505 LIMIT 1;
SELECT * FROM async_pt t1 WHERE t1.b === 505 LIMIT 1;
DELETE FROM async_p2;
DELETE FROM async_p3;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
SELECT * FROM async_pt;
-- Clean up
Seq Scan on tbloom (cost=0.00..213744.00 rows=250 width=24) (actual time=357.059..357.059 rows=0 loops=1)
Filter: ((i2 = 898732) AND (i5 = 123451))
Rows Removed by Filter: 10000000
+ Buffers: shared hit=63744
Planning Time: 0.346 ms
Execution Time: 357.076 ms
-(5 rows)
+(6 rows)
Seq Scan on tbloom (cost=0.00..213744.00 rows=2 width=24) (actual time=351.016..351.017 rows=0 loops=1)
Filter: ((i2 = 898732) AND (i5 = 123451))
Rows Removed by Filter: 10000000
+ Buffers: shared hit=63744
Planning Time: 0.138 ms
Execution Time: 351.035 ms
-(5 rows)
+(6 rows)
Recheck Cond: ((i2 = 898732) AND (i5 = 123451))
Rows Removed by Index Recheck: 2300
Heap Blocks: exact=2256
+ Buffers: shared hit=21864
-> Bitmap Index Scan on bloomidx (cost=0.00..178436.00 rows=1 width=0) (actual time=20.005..20.005 rows=2300 loops=1)
Index Cond: ((i2 = 898732) AND (i5 = 123451))
+ Buffers: shared hit=19608
Planning Time: 0.099 ms
Execution Time: 22.632 ms
-(8 rows)
+(10 rows)
-------------------------------------------------------------------&zwsp;--------------------------------------------------------
Bitmap Heap Scan on tbloom (cost=9.29..13.30 rows=1 width=24) (actual time=0.032..0.033 rows=0 loops=1)
Recheck Cond: ((i5 = 123451) AND (i2 = 898732))
+ Buffers: shared read=6
-> BitmapAnd (cost=9.29..9.29 rows=1 width=0) (actual time=0.047..0.047 rows=0 loops=1)
+ Buffers: shared hit=6
-> Bitmap Index Scan on btreeidx5 (cost=0.00..4.52 rows=11 width=0) (actual time=0.026..0.026 rows=7 loops=1)
Index Cond: (i5 = 123451)
+ Buffers: shared hit=3
-> Bitmap Index Scan on btreeidx2 (cost=0.00..4.52 rows=11 width=0) (actual time=0.007..0.007 rows=8 loops=1)
Index Cond: (i2 = 898732)
+ Buffers: shared hit=3
Planning Time: 0.264 ms
Execution Time: 0.047 ms
-(9 rows)
+(13 rows)
Although this query runs much faster than with either of the single
indexes, we pay a penalty in index size. Each of the single-column
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------------------------------------
Aggregate (cost=16.27..16.29 rows=1 width=8) (actual time=0.303..0.303 rows=1 loops=1)
+ Buffers: shared hit=14
-> Seq Scan on pg_class (cost=0.00..15.42 rows=342 width=4) (actual time=0.017..0.111 rows=356 loops=1)
+ Buffers: shared hit=14
Planning Time: 0.116 ms
Execution Time: 0.365 ms
-(4 rows)
Given the cost of the plan, it is entirely reasonable that no
JIT was used; the cost of
JIT would
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------------------------------------
Aggregate (cost=16.27..16.29 rows=1 width=8) (actual time=6.049..6.049 rows=1 loops=1)
+ Buffers: shared hit=14
-> Seq Scan on pg_class (cost=0.00..15.42 rows=342 width=4) (actual time=0.019..0.052 rows=356 loops=1)
+ Buffers: shared hit=14
Planning Time: 0.133 ms
JIT:
Functions: 3
Examples in this section are drawn from the regression test database
- after doing a VACUUM ANALYZE, using v17 development sources.
+ after doing a VACUUM ANALYZE, using v18 development sources.
You should be able to get similar results if you try the examples
yourself, but your estimated costs and row counts might vary slightly
because ANALYZE's statistics are random samples rather
QUERY PLAN
-------------------------------------------------------------------&zwsp;--------------------------------------------------------------
Nested Loop (cost=4.65..118.50 rows=10 width=488) (actual time=0.017..0.051 rows=10 loops=1)
+ Buffers: shared hit=36 read=6
-> Bitmap Heap Scan on tenk1 t1 (cost=4.36..39.38 rows=10 width=244) (actual time=0.009..0.017 rows=10 loops=1)
Recheck Cond: (unique1 < 10)
Heap Blocks: exact=10
+ Buffers: shared hit=3 read=5 written=4
-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..4.36 rows=10 width=0) (actual time=0.004..0.004 rows=10 loops=1)
Index Cond: (unique1 < 10)
+ Buffers: shared hit=2
-> 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)
Index Cond: (unique2 = t1.unique2)
+ Buffers: shared hit=24 read=6
+ Planning:
+ Buffers: shared hit=15 dirtied=9
Planning Time: 0.485 ms
Execution Time: 0.073 ms
Sort (cost=713.05..713.30 rows=100 width=488) (actual time=2.995..3.002 rows=100 loops=1)
Sort Key: t1.fivethous
Sort Method: quicksort Memory: 74kB
+ Buffers: shared hit=440
-> Hash Join (cost=226.23..709.73 rows=100 width=488) (actual time=0.515..2.920 rows=100 loops=1)
Hash Cond: (t2.unique2 = t1.unique2)
+ Buffers: shared hit=437
-> Seq Scan on tenk2 t2 (cost=0.00..445.00 rows=10000 width=244) (actual time=0.026..1.790 rows=10000 loops=1)
+ Buffers: shared hit=345
-> Hash (cost=224.98..224.98 rows=100 width=244) (actual time=0.476..0.477 rows=100 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 35kB
+ Buffers: shared hit=92
-> Bitmap Heap Scan on tenk1 t1 (cost=5.06..224.98 rows=100 width=244) (actual time=0.030..0.450 rows=100 loops=1)
Recheck Cond: (unique1 < 100)
Heap Blocks: exact=90
+ Buffers: shared hit=92
-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.013..0.013 rows=100 loops=1)
Index Cond: (unique1 < 100)
+ Buffers: shared hit=2
+ Planning:
+ Buffers: shared hit=12
Planning Time: 0.187 ms
Execution Time: 3.036 ms
Seq Scan on tenk1 (cost=0.00..470.00 rows=7000 width=244) (actual time=0.030..1.995 rows=7000 loops=1)
Filter: (ten < 7)
Rows Removed by Filter: 3000
+ Buffers: shared hit=345
Planning Time: 0.102 ms
Execution Time: 2.145 ms
Seq Scan on polygon_tbl (cost=0.00..1.09 rows=1 width=85) (actual time=0.023..0.023 rows=0 loops=1)
Filter: (f1 @> '((0.5,2))'::polygon)
Rows Removed by Filter: 7
+ Buffers: shared hit=1
Planning Time: 0.039 ms
Execution Time: 0.033 ms
Index Scan using gpolygonind on polygon_tbl (cost=0.13..8.15 rows=1 width=85) (actual time=0.074..0.074 rows=0 loops=1)
Index Cond: (f1 @> '((0.5,2))'::polygon)
Rows Removed by Index Recheck: 1
+ Buffers: shared hit=1
Planning Time: 0.039 ms
Execution Time: 0.098 ms
- EXPLAIN has a BUFFERS option that can be used with
- ANALYZE to get even more run time statistics:
+ EXPLAIN has a BUFFERS option which
+ provides additional detail about I/O operations performed during the
+ planning and execution of the given query. The buffer numbers displayed
+ show the count of the non-distinct buffers hit, read, dirtied, and written
+ for the given node and all of its child nodes. The
+ ANALYZE option implicitly enables the
+ BUFFERS option. If this
+ is undesired, BUFFERS may be explicitly disabled:
-EXPLAIN (ANALYZE, BUFFERS) SELECT * FROM tenk1 WHERE unique1 < 100 AND unique2 > 9000;
+EXPLAIN (ANALYZE, BUFFERS OFF) SELECT * FROM tenk1 WHERE unique1 < 100 AND unique2 > 9000;
QUERY PLAN
-------------------------------------------------------------------&zwsp;--------------------------------------------------------------
Bitmap Heap Scan on tenk1 (cost=25.07..60.11 rows=10 width=244) (actual time=0.105..0.114 rows=10 loops=1)
Recheck Cond: ((unique1 < 100) AND (unique2 > 9000))
Heap Blocks: exact=10
- Buffers: shared hit=14 read=3
-> BitmapAnd (cost=25.07..25.07 rows=10 width=0) (actual time=0.100..0.101 rows=0 loops=1)
- Buffers: shared hit=4 read=3
-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.027..0.027 rows=100 loops=1)
Index Cond: (unique1 < 100)
- Buffers: shared hit=2
-> Bitmap Index Scan on tenk1_unique2 (cost=0.00..19.78 rows=999 width=0) (actual time=0.070..0.070 rows=999 loops=1)
Index Cond: (unique2 > 9000)
- Buffers: shared hit=2 read=3
- Planning:
- Buffers: shared hit=3
Planning Time: 0.162 ms
Execution Time: 0.143 ms
-
- The numbers provided by BUFFERS help to identify which parts
- of the query are the most I/O-intensive.
-> Bitmap Heap Scan on tenk1 (cost=5.06..225.23 rows=100 width=10) (actual time=0.065..0.141 rows=100 loops=1)
Recheck Cond: (unique1 < 100)
Heap Blocks: exact=90
+ Buffers: shared hit=4 read=2
-> Bitmap Index Scan on tenk1_unique1 (cost=0.00..5.04 rows=100 width=0) (actual time=0.031..0.031 rows=100 loops=1)
Index Cond: (unique1 < 100)
+ Buffers: shared read=2
Planning Time: 0.151 ms
Execution Time: 1.856 ms
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------------------------------------------------------
Limit (cost=0.29..14.33 rows=2 width=244) (actual time=0.051..0.071 rows=2 loops=1)
+ Buffers: shared hit=16
-> Index Scan using tenk1_unique2 on tenk1 (cost=0.29..70.50 rows=10 width=244) (actual time=0.051..0.070 rows=2 loops=1)
Index Cond: (unique2 > 9000)
Filter: (unique1 < 100)
Rows Removed by Filter: 287
+ Buffers: shared hit=16
Planning Time: 0.077 ms
Execution Time: 0.086 ms
condition on the a column:
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a = 1;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a = 1;
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------
Seq Scan on t (cost=0.00..170.00 rows=100 width=8) (actual rows=100 loops=1)
condition on both columns, combining them with AND:
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
QUERY PLAN
-------------------------------------------------------------------&zwsp;----------
Seq Scan on t (cost=0.00..195.00 rows=1 width=8) (actual rows=100 loops=1)
CREATE STATISTICS stts (dependencies) ON a, b FROM t;
ANALYZE t;
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------
Seq Scan on t (cost=0.00..195.00 rows=100 width=8) (actual rows=100 loops=1)
estimated number of rows returned by the HashAggregate node) is very
accurate:
-EXPLAIN (ANALYZE, TIMING OFF) SELECT COUNT(*) FROM t GROUP BY a;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT COUNT(*) FROM t GROUP BY a;
QUERY PLAN
-------------------------------------------------------------------&zwsp;----------------------
HashAggregate (cost=195.00..196.00 rows=100 width=12) (actual rows=100 loops=1)
groups in a query with two columns in GROUP BY, as
in the following example, is off by an order of magnitude:
-EXPLAIN (ANALYZE, TIMING OFF) SELECT COUNT(*) FROM t GROUP BY a, b;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT COUNT(*) FROM t GROUP BY a, b;
QUERY PLAN
-------------------------------------------------------------------&zwsp;-------------------------
HashAggregate (cost=220.00..230.00 rows=1000 width=16) (actual rows=100 loops=1)
DROP STATISTICS stts;
CREATE STATISTICS stts (dependencies, ndistinct) ON a, b FROM t;
ANALYZE t;
-EXPLAIN (ANALYZE, TIMING OFF) SELECT COUNT(*) FROM t GROUP BY a, b;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT COUNT(*) FROM t GROUP BY a, b;
QUERY PLAN
-------------------------------------------------------------------&zwsp;-------------------------
HashAggregate (cost=220.00..221.00 rows=100 width=16) (actual rows=100 loops=1)
DROP STATISTICS stts;
CREATE STATISTICS stts2 (mcv) ON a, b FROM t;
ANALYZE t;
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a = 1 AND b = 1;
QUERY PLAN
-------------------------------------------------------------------&zwsp;------------
Seq Scan on t (cost=0.00..195.00 rows=100 width=8) (actual rows=100 loops=1)
to decide which combinations are compatible.
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a = 1 AND b = 10;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a = 1 AND b = 10;
QUERY PLAN
-------------------------------------------------------------------&zwsp;--------
Seq Scan on t (cost=0.00..195.00 rows=1 width=8) (actual rows=0 loops=1)
consider the following range query for the same table:
-EXPLAIN (ANALYZE, TIMING OFF) SELECT * FROM t WHERE a <= 49 AND b > 49;
+EXPLAIN (ANALYZE, TIMING OFF, BUFFERS OFF) SELECT * FROM t WHERE a <= 49 AND b > 49;
QUERY PLAN
-------------------------------------------------------------------&zwsp;--------
Seq Scan on t (cost=0.00..195.00 rows=1 width=8) (actual rows=0 loops=1)
query processing.
The number of blocks shown for an
upper-level node includes those used by all its child nodes. In text
- format, only non-zero values are printed. This parameter defaults to
- FALSE.
+ format, only non-zero values are printed. Buffers information is
+ included by default when ANALYZE is used but
+ otherwise is not included by default, but can be enabled using this
+ option.
HashAggregate (cost=10.77..10.87 rows=10 width=12) (actual time=0.043..0.044 rows=10 loops=1)
Group Key: foo
Batches: 1 Memory Usage: 24kB
+ Buffers: shared hit=4
-> Index Scan using test_pkey on test (cost=0.29..10.27 rows=99 width=8) (actual time=0.009..0.025 rows=99 loops=1)
Index Cond: ((id > 100) AND (id < 200))
+ Buffers: shared hit=4
Planning Time: 0.244 ms
Execution Time: 0.073 ms
-(7 rows)
+(9 rows)
List *rewritten;
ListCell *lc;
bool timing_set = false;
+ bool buffers_set = false;
bool summary_set = false;
/* Parse options list. */
else if (strcmp(opt->defname, "costs") == 0)
es->costs = defGetBoolean(opt);
else if (strcmp(opt->defname, "buffers") == 0)
+ {
+ buffers_set = true;
es->buffers = defGetBoolean(opt);
+ }
else if (strcmp(opt->defname, "wal") == 0)
es->wal = defGetBoolean(opt);
else if (strcmp(opt->defname, "settings") == 0)
/* if the timing was not set explicitly, set default value */
es->timing = (timing_set) ? es->timing : es->analyze;
+ /* if the buffers was not set explicitly, set default value */
+ es->buffers = (buffers_set) ? es->buffers : es->analyze;
+
/* check that timing is used with EXPLAIN ANALYZE */
if (es->timing && !es->analyze)
ereport(ERROR,
CREATE INDEX ON brin_date_test USING brin (a date_minmax_multi_ops) WITH (pages_per_range=1);
SET enable_seqscan = off;
-- make sure the ranges were built correctly and 2023-01-01 eliminates all
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '2023-01-01'::date;
QUERY PLAN
-------------------------------------------------------------------------
SELECT i FROM generate_series('2000-01-01'::timestamp, '2000-02-09'::timestamp, '1 day'::interval) s(i);
CREATE INDEX ON brin_timestamp_test USING brin (a timestamp_minmax_multi_ops) WITH (pages_per_range=1);
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_timestamp_test WHERE a = '2023-01-01'::timestamp;
QUERY PLAN
------------------------------------------------------------------------------
Index Cond: (a = '2023-01-01 00:00:00'::timestamp without time zone)
(4 rows)
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_timestamp_test WHERE a = '1900-01-01'::timestamp;
QUERY PLAN
------------------------------------------------------------------------------
INSERT INTO brin_date_test SELECT '2000-01-01'::date + i FROM generate_series(1, 40) s(i);
CREATE INDEX ON brin_date_test USING brin (a date_minmax_multi_ops) WITH (pages_per_range=1);
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '2023-01-01'::date;
QUERY PLAN
-------------------------------------------------------------------------
Index Cond: (a = '2023-01-01'::date)
(4 rows)
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '1900-01-01'::date;
QUERY PLAN
-------------------------------------------------------------------------
INSERT INTO brin_interval_test SELECT (i || ' years')::interval FROM generate_series( 177999980, 178000000) s(i);
CREATE INDEX ON brin_interval_test USING brin (a interval_minmax_multi_ops) WITH (pages_per_range=1);
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '-30 years'::interval;
QUERY PLAN
-----------------------------------------------------------------------------
Index Cond: (a = '@ 30 years ago'::interval)
(4 rows)
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '30 years'::interval;
QUERY PLAN
-----------------------------------------------------------------------------
INSERT INTO brin_interval_test SELECT (i || ' days')::interval FROM generate_series(100, 140) s(i);
CREATE INDEX ON brin_interval_test USING brin (a interval_minmax_multi_ops) WITH (pages_per_range=1);
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '-30 years'::interval;
QUERY PLAN
-----------------------------------------------------------------------------
Index Cond: (a = '@ 30 years ago'::interval)
(4 rows)
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '30 years'::interval;
QUERY PLAN
-----------------------------------------------------------------------------
Seq Scan on int8_tbl i8 (cost=N.N..N.N rows=N width=N)
(1 row)
-select explain_filter('explain (analyze) select * from int8_tbl i8');
+select explain_filter('explain (analyze, buffers off) select * from int8_tbl i8');
explain_filter
-----------------------------------------------------------------------------------------------
Seq Scan on int8_tbl i8 (cost=N.N..N.N rows=N width=N) (actual time=N.N..N.N rows=N loops=N)
Execution Time: N.N ms
(3 rows)
-select explain_filter('explain (analyze, verbose) select * from int8_tbl i8');
+select explain_filter('explain (analyze, buffers off, verbose) select * from int8_tbl i8');
explain_filter
------------------------------------------------------------------------------------------------------
Seq Scan on public.int8_tbl i8 (cost=N.N..N.N rows=N width=N) (actual time=N.N..N.N rows=N loops=N)
Memory: used=NkB allocated=NkB
(2 rows)
-select explain_filter('explain (memory, analyze) select * from int8_tbl i8');
+select explain_filter('explain (memory, analyze, buffers off) select * from int8_tbl i8');
explain_filter
-----------------------------------------------------------------------------------------------
Seq Scan on int8_tbl i8 (cost=N.N..N.N rows=N width=N) (actual time=N.N..N.N rows=N loops=N)
"Actual Total Time": N.N, +
"Actual Rows": N, +
"Actual Loops": N, +
- "Disabled": false +
+ "Disabled": false, +
+ "Shared Hit Blocks": N, +
+ "Shared Read Blocks": N, +
+ "Shared Dirtied Blocks": N, +
+ "Shared Written Blocks": N, +
+ "Local Hit Blocks": N, +
+ "Local Read Blocks": N, +
+ "Local Dirtied Blocks": N, +
+ "Local Written Blocks": N, +
+ "Temp Read Blocks": N, +
+ "Temp Written Blocks": N +
}, +
"Planning": { +
+ "Shared Hit Blocks": N, +
+ "Shared Read Blocks": N, +
+ "Shared Dirtied Blocks": N, +
+ "Shared Written Blocks": N, +
+ "Local Hit Blocks": N, +
+ "Local Read Blocks": N, +
+ "Local Dirtied Blocks": N, +
+ "Local Written Blocks": N, +
+ "Temp Read Blocks": N, +
+ "Temp Written Blocks": N, +
"Memory Used": N, +
"Memory Allocated": N +
}, +
(3 rows)
-- Test SERIALIZE option
-select explain_filter('explain (analyze,serialize) select * from int8_tbl i8');
+select explain_filter('explain (analyze,buffers off,serialize) select * from int8_tbl i8');
explain_filter
-----------------------------------------------------------------------------------------------
Seq Scan on int8_tbl i8 (cost=N.N..N.N rows=N width=N) (actual time=N.N..N.N rows=N loops=N)
(4 rows)
-- this tests an edge case where we have no data to return
-select explain_filter('explain (analyze,serialize) create temp table explain_temp as select * from int8_tbl i8');
+select explain_filter('explain (analyze,buffers off,serialize) create temp table explain_temp as select * from int8_tbl i8');
explain_filter
-----------------------------------------------------------------------------------------------
Seq Scan on int8_tbl i8 (cost=N.N..N.N rows=N width=N) (actual time=N.N..N.N rows=N loops=N)
(4 rows)
-- Test tuplestore storage usage in Window aggregate (memory case)
-select explain_filter('explain (analyze,costs off) select sum(n) over() from generate_series(1,10) a(n)');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over() from generate_series(1,10) a(n)');
explain_filter
--------------------------------------------------------------------------------
WindowAgg (actual time=N.N..N.N rows=N loops=N)
-- Test tuplestore storage usage in Window aggregate (disk case)
set work_mem to 64;
-select explain_filter('explain (analyze,costs off) select sum(n) over() from generate_series(1,2000) a(n)');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over() from generate_series(1,2000) a(n)');
explain_filter
--------------------------------------------------------------------------------
WindowAgg (actual time=N.N..N.N rows=N loops=N)
(5 rows)
-- Test tuplestore storage usage in Window aggregate (memory and disk case, final result is disk)
-select explain_filter('explain (analyze,costs off) select sum(n) over(partition by m) from (SELECT n < 3 as m, n from generate_series(1,2000) a(n))');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over(partition by m) from (SELECT n < 3 as m, n from generate_series(1,2000) a(n))');
explain_filter
--------------------------------------------------------------------------------------
WindowAgg (actual time=N.N..N.N rows=N loops=N)
line text;
begin
for line in
- execute 'explain (analyze, costs off, summary off, timing off) ' || query
+ execute 'explain (analyze, costs off, summary off, timing off, buffers off) ' || query
loop
out_line := regexp_replace(line, '\d+kB', 'NNkB', 'g');
return next;
element jsonb;
matching_nodes jsonb := '[]'::jsonb;
begin
- execute 'explain (analyze, costs off, summary off, timing off, format ''json'') ' || query into strict elements;
+ execute 'explain (analyze, costs off, summary off, timing off, buffers off, format ''json'') ' || query into strict elements;
while jsonb_array_length(elements) > 0 loop
element := elements->0;
elements := elements - 0;
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
query)
loop
if hide_hitmiss = true then
DECLARE ln text;
BEGIN
FOR ln IN
- EXECUTE 'explain (analyze, timing off, summary off, costs off) ' ||
+ EXECUTE 'explain (analyze, timing off, summary off, costs off, buffers off) ' ||
query
LOOP
ln := regexp_replace(ln, '(Memory( Usage)?|Buckets|Batches): \S*', '\1: xxx', 'g');
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
query)
loop
ln := regexp_replace(ln, 'Maximum Storage: \d+', 'Maximum Storage: N');
set enable_indexonlyscan = off;
prepare ab_q1 (int, int, int) as
select * from ab where a between $1 and $2 and b <= $3;
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 2, 3);
QUERY PLAN
---------------------------------------------------------
Append (actual rows=0 loops=1)
Filter: ((a >= $1) AND (a <= $2) AND (b <= $3))
(8 rows)
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (1, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (1, 2, 3);
QUERY PLAN
---------------------------------------------------------
Append (actual rows=0 loops=1)
-- Runtime pruning after optimizer pruning
prepare ab_q1 (int, int) as
select a from ab where a between $1 and $2 and b < 3;
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 2);
QUERY PLAN
---------------------------------------------------------
Append (actual rows=0 loops=1)
Filter: ((a >= $1) AND (a <= $2) AND (b < 3))
(6 rows)
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 4);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 4);
QUERY PLAN
---------------------------------------------------------
Append (actual rows=0 loops=1)
-- different levels of partitioning.
prepare ab_q2 (int, int) as
select a from ab where a between $1 and $2 and b < (select 3);
-explain (analyze, costs off, summary off, timing off) execute ab_q2 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q2 (2, 2);
QUERY PLAN
-----------------------------------------------------------------------
Append (actual rows=0 loops=1)
-- As above, but swap the PARAM_EXEC Param to the first partition level
prepare ab_q3 (int, int) as
select a from ab where b between $1 and $2 and a < (select 3);
-explain (analyze, costs off, summary off, timing off) execute ab_q3 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q3 (2, 2);
QUERY PLAN
-----------------------------------------------------------------------
Append (actual rows=0 loops=1)
-- Test run-time pruning using stable functions
create function list_part_fn(int) returns int as $$ begin return $1; end;$$ language plpgsql stable;
-- Ensure pruning works using a stable function containing no Vars
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(1);
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(1);
QUERY PLAN
------------------------------------------------------------------
Append (actual rows=1 loops=1)
(4 rows)
-- Ensure pruning does not take place when the function has a Var parameter
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(a);
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(a);
QUERY PLAN
------------------------------------------------------------------
Append (actual rows=4 loops=1)
(9 rows)
-- Ensure pruning does not take place when the expression contains a Var.
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(1) + a;
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(1) + a;
QUERY PLAN
------------------------------------------------------------------
Append (actual rows=0 loops=1)
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
$1)
loop
ln := regexp_replace(ln, 'Workers Launched: \d+', 'Workers Launched: N');
reset min_parallel_table_scan_size;
reset max_parallel_workers_per_gather;
-- Test run-time partition pruning with an initplan
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from ab where a = (select max(a) from lprt_a) and b = (select max(a)-1 from lprt_a);
QUERY PLAN
-------------------------------------------------------------------------
(52 rows)
-- Test run-time partition pruning with UNION ALL parents
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from (select * from ab where a = 1 union all select * from ab) ab where b = (select 1);
QUERY PLAN
-------------------------------------------------------------------------------
(37 rows)
-- A case containing a UNION ALL with a non-partitioned child.
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from (select * from ab where a = 1 union all (values(10,5)) union all select * from ab) ab where b = (select 1);
QUERY PLAN
-------------------------------------------------------------------------------
select tableoid::regclass,a,b from ab
) ab where a = $1 and b = (select -10);
-- Ensure the xy_1 subplan is not pruned.
-explain (analyze, costs off, summary off, timing off) execute ab_q6(1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q6(1);
QUERY PLAN
--------------------------------------------------------
Append (actual rows=0 loops=1)
insert into tprt values (10), (20), (501), (502), (505), (1001), (4500);
set enable_hashjoin = off;
set enable_mergejoin = off;
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 > tprt.col1;
QUERY PLAN
--------------------------------------------------------------------------
Index Cond: (col1 < tbl1.col1)
(15 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 = tprt.col1;
QUERY PLAN
--------------------------------------------------------------------------
-- Multiple partitions
insert into tbl1 values (1001), (1010), (1011);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 inner join tprt on tbl1.col1 > tprt.col1;
QUERY PLAN
--------------------------------------------------------------------------
Index Cond: (col1 < tbl1.col1)
(15 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 inner join tprt on tbl1.col1 = tprt.col1;
QUERY PLAN
--------------------------------------------------------------------------
-- Last partition
delete from tbl1;
insert into tbl1 values (4400);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 < tprt.col1;
QUERY PLAN
--------------------------------------------------------------------------
-- No matching partition
delete from tbl1;
insert into tbl1 values (10000);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 = tprt.col1;
QUERY PLAN
-------------------------------------------------------------------
prepare part_abc_q1 (int, int, int) as
select * from part_abc where a = $1 and b = $2 and c = $3;
-- Single partition should be scanned.
-explain (analyze, costs off, summary off, timing off) execute part_abc_q1 (1, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute part_abc_q1 (1, 2, 3);
QUERY PLAN
----------------------------------------------------------
Seq Scan on part_abc_p1 part_abc (actual rows=0 loops=1)
-- partitions before finally detecting the correct set of 2nd level partitions
-- which match the given parameter.
prepare q1 (int,int) as select * from listp where b in ($1,$2);
-explain (analyze, costs off, summary off, timing off) execute q1 (1,1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,1);
QUERY PLAN
-------------------------------------------------------------
Append (actual rows=0 loops=1)
Filter: (b = ANY (ARRAY[$1, $2]))
(4 rows)
-explain (analyze, costs off, summary off, timing off) execute q1 (2,2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (2,2);
QUERY PLAN
-------------------------------------------------------------
Append (actual rows=0 loops=1)
(4 rows)
-- Try with no matching partitions.
-explain (analyze, costs off, summary off, timing off) execute q1 (0,0);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (0,0);
QUERY PLAN
--------------------------------
Append (actual rows=0 loops=1)
-- Test more complex cases where a not-equal condition further eliminates partitions.
prepare q1 (int,int,int,int) as select * from listp where b in($1,$2) and $3 <> b and $4 <> b;
-- Both partitions allowed by IN clause, but one disallowed by <> clause
-explain (analyze, costs off, summary off, timing off) execute q1 (1,2,2,0);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,2,2,0);
QUERY PLAN
-------------------------------------------------------------------------
Append (actual rows=0 loops=1)
(4 rows)
-- Both partitions allowed by IN clause, then both excluded again by <> clauses.
-explain (analyze, costs off, summary off, timing off) execute q1 (1,2,2,1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,2,2,1);
QUERY PLAN
--------------------------------
Append (actual rows=0 loops=1)
(2 rows)
-- Ensure Params that evaluate to NULL properly prune away all partitions
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from listp where a = (select null::int);
QUERY PLAN
------------------------------------------------------
create table stable_qual_pruning3 partition of stable_qual_pruning
for values from ('3000-02-01') to ('3000-03-01');
-- comparison against a stable value requires run-time pruning
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning where a < localtimestamp;
QUERY PLAN
--------------------------------------------------------------------------------------
(6 rows)
-- timestamp < timestamptz comparison is only stable, not immutable
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning where a < '2000-02-01'::timestamptz;
QUERY PLAN
--------------------------------------------------------------------------------------
(4 rows)
-- check ScalarArrayOp cases
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2010-02-01', '2020-01-01']::timestamp[]);
QUERY PLAN
One-Time Filter: false
(2 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', '2010-01-01']::timestamp[]);
QUERY PLAN
Filter: (a = ANY ('{"Tue Feb 01 00:00:00 2000","Fri Jan 01 00:00:00 2010"}'::timestamp without time zone[]))
(2 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', localtimestamp]::timestamp[]);
QUERY PLAN
Filter: (a = ANY (ARRAY['Tue Feb 01 00:00:00 2000'::timestamp without time zone, LOCALTIMESTAMP]))
(4 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2010-02-01', '2020-01-01']::timestamptz[]);
QUERY PLAN
Subplans Removed: 3
(2 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', '2010-01-01']::timestamptz[]);
QUERY PLAN
Filter: (a = ANY ('{"Tue Feb 01 00:00:00 2000 PST","Fri Jan 01 00:00:00 2010 PST"}'::timestamp with time zone[]))
(4 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(null::timestamptz[]);
QUERY PLAN
create table mc3p2 partition of mc3p
for values from (2, minvalue, minvalue) to (3, maxvalue, maxvalue);
insert into mc3p values (0, 1, 1), (1, 1, 1), (2, 1, 1);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from mc3p where a < 3 and abs(b) = 1;
QUERY PLAN
--------------------------------------------------------
--
prepare ps1 as
select * from mc3p where a = $1 and abs(b) < (select 3);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
execute ps1(1);
QUERY PLAN
-------------------------------------------------------------
deallocate ps1;
prepare ps2 as
select * from mc3p where a <= $1 and abs(b) < (select 3);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
execute ps2(1);
QUERY PLAN
--------------------------------------------------------------
create table boolp (a bool) partition by list (a);
create table boolp_t partition of boolp for values in('t');
create table boolp_f partition of boolp for values in('f');
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from boolp where a = (select value from boolvalues where value);
QUERY PLAN
-----------------------------------------------------------
Filter: (a = (InitPlan 1).col1)
(9 rows)
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from boolp where a = (select value from boolvalues where not value);
QUERY PLAN
-----------------------------------------------------------
create index on ma_test (b);
analyze ma_test;
prepare mt_q1 (int) as select a from ma_test where a >= $1 and a % 10 = 5 order by b;
-explain (analyze, costs off, summary off, timing off) execute mt_q1(15);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(15);
QUERY PLAN
-----------------------------------------------------------------------------------------
Merge Append (actual rows=2 loops=1)
25
(2 rows)
-explain (analyze, costs off, summary off, timing off) execute mt_q1(25);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(25);
QUERY PLAN
-----------------------------------------------------------------------------------------
Merge Append (actual rows=1 loops=1)
(1 row)
-- Ensure MergeAppend behaves correctly when no subplans match
-explain (analyze, costs off, summary off, timing off) execute mt_q1(35);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(35);
QUERY PLAN
--------------------------------------
Merge Append (actual rows=0 loops=1)
deallocate mt_q1;
prepare mt_q2 (int) as select * from ma_test where a >= $1 order by b limit 1;
-- Ensure output list looks sane when the MergeAppend has no subplans.
-explain (analyze, verbose, costs off, summary off, timing off) execute mt_q2 (35);
+explain (analyze, verbose, costs off, summary off, timing off, buffers off) execute mt_q2 (35);
QUERY PLAN
--------------------------------------------
Limit (actual rows=0 loops=1)
deallocate mt_q2;
-- ensure initplan params properly prune partitions
-explain (analyze, costs off, summary off, timing off) select * from ma_test where a >= (select min(b) from ma_test_p2) order by b;
+explain (analyze, costs off, summary off, timing off, buffers off) select * from ma_test where a >= (select min(b) from ma_test_p2) order by b;
QUERY PLAN
-----------------------------------------------------------------------------------------------
Merge Append (actual rows=20 loops=1)
create table listp1 partition of listp for values in(1);
create table listp2 partition of listp for values in(2) partition by list(b);
create table listp2_10 partition of listp2 for values in (10);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from listp where a = (select 2) and b <> 10;
QUERY PLAN
---------------------------------------------------
create table rangep_100_to_200 partition of rangep for values from (100) to (200);
create index on rangep (a);
-- Ensure run-time pruning works on the nested Merge Append
-explain (analyze on, costs off, timing off, summary off)
+explain (analyze on, costs off, timing off, summary off, buffers off)
select * from rangep where b IN((select 1),(select 2)) order by a;
QUERY PLAN
------------------------------------------------------------------------------------------------------------
(1 row)
-- actually run the query with an analyze to use the partial index
-explain (costs off, analyze on, timing off, summary off)
+explain (costs off, analyze on, timing off, summary off, buffers off)
select * from onek2 where unique2 = 11 and stringu1 = 'ATAAAA';
QUERY PLAN
-----------------------------------------------------------------
AS SELECT generate_series(1,3) WITH DATA;
INSERT INTO selinto_schema.tbl_withdata1 VALUES (4);
ERROR: permission denied for table tbl_withdata1
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
CREATE TABLE selinto_schema.tbl_withdata2 (a) AS
SELECT generate_series(1,3) WITH DATA;
QUERY PLAN
-- EXECUTE and WITH NO DATA, passes.
CREATE TABLE selinto_schema.tbl_nodata3 (a) AS
EXECUTE data_sel WITH NO DATA;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
CREATE TABLE selinto_schema.tbl_nodata4 (a) AS
EXECUTE data_sel WITH NO DATA;
QUERY PLAN
-- test accumulation of stats for parallel nodes
reset enable_seqscan;
alter table tenk2 set (parallel_workers = 0);
-explain (analyze, timing off, summary off, costs off)
+explain (analyze, timing off, summary off, costs off, buffers off)
select count(*) from tenk1, tenk2 where tenk1.hundred > 1
and tenk2.thousand=0;
QUERY PLAN
declare ln text;
begin
for ln in
- explain (analyze, timing off, summary off, costs off)
+ explain (analyze, timing off, summary off, costs off, buffers off)
select * from
(select ten from tenk1 where ten < 100 order by ten) ss
right join (values (1),(2),(3)) v(x) on true
-- to increase the parallel query test coverage
SAVEPOINT settings;
SET LOCAL debug_parallel_query = 1;
-EXPLAIN (analyze, timing off, summary off, costs off) SELECT * FROM tenk1;
+EXPLAIN (analyze, timing off, summary off, costs off, buffers off) SELECT * FROM tenk1;
QUERY PLAN
-------------------------------------------------------------
Gather (actual rows=10000 loops=1)
declare ln text;
begin
for ln in
- explain (analyze, summary off, timing off, costs off)
+ explain (analyze, summary off, timing off, costs off, buffers off)
select * from (select pk,c2 from sq_limit order by c1,pk) as x limit 3
loop
ln := regexp_replace(ln, 'Memory: \S*', 'Memory: xxx');
(1 row)
-- perform update
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
QUERY PLAN
---------------------------------------------------
(1 row)
-- perform update
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
QUERY PLAN
---------------------------------------------------
(0 rows)
-- should error out
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
ERROR: cursor "c" is not positioned on a row
ROLLBACK;
SET enable_seqscan = off;
-- make sure the ranges were built correctly and 2023-01-01 eliminates all
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '2023-01-01'::date;
DROP TABLE brin_date_test;
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_timestamp_test WHERE a = '2023-01-01'::timestamp;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_timestamp_test WHERE a = '1900-01-01'::timestamp;
DROP TABLE brin_timestamp_test;
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '2023-01-01'::date;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_date_test WHERE a = '1900-01-01'::date;
DROP TABLE brin_date_test;
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '-30 years'::interval;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '30 years'::interval;
DROP TABLE brin_interval_test;
SET enable_seqscan = off;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '-30 years'::interval;
-EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF)
+EXPLAIN (ANALYZE, TIMING OFF, COSTS OFF, SUMMARY OFF, BUFFERS OFF)
SELECT * FROM brin_interval_test WHERE a = '30 years'::interval;
DROP TABLE brin_interval_test;
-- Simple cases
select explain_filter('explain select * from int8_tbl i8');
-select explain_filter('explain (analyze) select * from int8_tbl i8');
-select explain_filter('explain (analyze, verbose) select * from int8_tbl i8');
+select explain_filter('explain (analyze, buffers off) select * from int8_tbl i8');
+select explain_filter('explain (analyze, buffers off, verbose) select * from int8_tbl i8');
select explain_filter('explain (analyze, buffers, format text) select * from int8_tbl i8');
select explain_filter('explain (analyze, buffers, format xml) select * from int8_tbl i8');
select explain_filter('explain (analyze, serialize, buffers, format yaml) select * from int8_tbl i8');
-- MEMORY option
select explain_filter('explain (memory) select * from int8_tbl i8');
-select explain_filter('explain (memory, analyze) select * from int8_tbl i8');
+select explain_filter('explain (memory, analyze, buffers off) select * from int8_tbl i8');
select explain_filter('explain (memory, summary, format yaml) select * from int8_tbl i8');
select explain_filter('explain (memory, analyze, format json) select * from int8_tbl i8');
prepare int8_query as select * from int8_tbl i8;
select explain_filter('explain (verbose) create table test_ctas as select 1');
-- Test SERIALIZE option
-select explain_filter('explain (analyze,serialize) select * from int8_tbl i8');
+select explain_filter('explain (analyze,buffers off,serialize) select * from int8_tbl i8');
select explain_filter('explain (analyze,serialize text,buffers,timing off) select * from int8_tbl i8');
select explain_filter('explain (analyze,serialize binary,buffers,timing) select * from int8_tbl i8');
-- this tests an edge case where we have no data to return
-select explain_filter('explain (analyze,serialize) create temp table explain_temp as select * from int8_tbl i8');
+select explain_filter('explain (analyze,buffers off,serialize) create temp table explain_temp as select * from int8_tbl i8');
-- Test tuplestore storage usage in Window aggregate (memory case)
-select explain_filter('explain (analyze,costs off) select sum(n) over() from generate_series(1,10) a(n)');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over() from generate_series(1,10) a(n)');
-- Test tuplestore storage usage in Window aggregate (disk case)
set work_mem to 64;
-select explain_filter('explain (analyze,costs off) select sum(n) over() from generate_series(1,2000) a(n)');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over() from generate_series(1,2000) a(n)');
-- Test tuplestore storage usage in Window aggregate (memory and disk case, final result is disk)
-select explain_filter('explain (analyze,costs off) select sum(n) over(partition by m) from (SELECT n < 3 as m, n from generate_series(1,2000) a(n))');
+select explain_filter('explain (analyze,buffers off,costs off) select sum(n) over(partition by m) from (SELECT n < 3 as m, n from generate_series(1,2000) a(n))');
reset work_mem;
line text;
begin
for line in
- execute 'explain (analyze, costs off, summary off, timing off) ' || query
+ execute 'explain (analyze, costs off, summary off, timing off, buffers off) ' || query
loop
out_line := regexp_replace(line, '\d+kB', 'NNkB', 'g');
return next;
element jsonb;
matching_nodes jsonb := '[]'::jsonb;
begin
- execute 'explain (analyze, costs off, summary off, timing off, format ''json'') ' || query into strict elements;
+ execute 'explain (analyze, costs off, summary off, timing off, buffers off, format ''json'') ' || query into strict elements;
while jsonb_array_length(elements) > 0 loop
element := elements->0;
elements := elements - 0;
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
query)
loop
if hide_hitmiss = true then
DECLARE ln text;
BEGIN
FOR ln IN
- EXECUTE 'explain (analyze, timing off, summary off, costs off) ' ||
+ EXECUTE 'explain (analyze, timing off, summary off, costs off, buffers off) ' ||
query
LOOP
ln := regexp_replace(ln, '(Memory( Usage)?|Buckets|Batches): \S*', '\1: xxx', 'g');
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
query)
loop
ln := regexp_replace(ln, 'Maximum Storage: \d+', 'Maximum Storage: N');
prepare ab_q1 (int, int, int) as
select * from ab where a between $1 and $2 and b <= $3;
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 2, 3);
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (1, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (1, 2, 3);
deallocate ab_q1;
prepare ab_q1 (int, int) as
select a from ab where a between $1 and $2 and b < 3;
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 2);
-explain (analyze, costs off, summary off, timing off) execute ab_q1 (2, 4);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q1 (2, 4);
-- Ensure a mix of PARAM_EXTERN and PARAM_EXEC Params work together at
-- different levels of partitioning.
prepare ab_q2 (int, int) as
select a from ab where a between $1 and $2 and b < (select 3);
-explain (analyze, costs off, summary off, timing off) execute ab_q2 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q2 (2, 2);
-- As above, but swap the PARAM_EXEC Param to the first partition level
prepare ab_q3 (int, int) as
select a from ab where b between $1 and $2 and a < (select 3);
-explain (analyze, costs off, summary off, timing off) execute ab_q3 (2, 2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q3 (2, 2);
--
-- Test runtime pruning with hash partitioned tables
create function list_part_fn(int) returns int as $$ begin return $1; end;$$ language plpgsql stable;
-- Ensure pruning works using a stable function containing no Vars
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(1);
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(1);
-- Ensure pruning does not take place when the function has a Var parameter
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(a);
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(a);
-- Ensure pruning does not take place when the expression contains a Var.
-explain (analyze, costs off, summary off, timing off) select * from list_part where a = list_part_fn(1) + a;
+explain (analyze, costs off, summary off, timing off, buffers off) select * from list_part where a = list_part_fn(1) + a;
rollback;
ln text;
begin
for ln in
- execute format('explain (analyze, costs off, summary off, timing off) %s',
+ execute format('explain (analyze, costs off, summary off, timing off, buffers off) %s',
$1)
loop
ln := regexp_replace(ln, 'Workers Launched: \d+', 'Workers Launched: N');
reset max_parallel_workers_per_gather;
-- Test run-time partition pruning with an initplan
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from ab where a = (select max(a) from lprt_a) and b = (select max(a)-1 from lprt_a);
-- Test run-time partition pruning with UNION ALL parents
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from (select * from ab where a = 1 union all select * from ab) ab where b = (select 1);
-- A case containing a UNION ALL with a non-partitioned child.
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from (select * from ab where a = 1 union all (values(10,5)) union all select * from ab) ab where b = (select 1);
-- Another UNION ALL test, but containing a mix of exec init and exec run-time pruning.
) ab where a = $1 and b = (select -10);
-- Ensure the xy_1 subplan is not pruned.
-explain (analyze, costs off, summary off, timing off) execute ab_q6(1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute ab_q6(1);
-- Ensure we see just the xy_1 row.
execute ab_q6(100);
set enable_hashjoin = off;
set enable_mergejoin = off;
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 > tprt.col1;
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 = tprt.col1;
select tbl1.col1, tprt.col1 from tbl1
-- Multiple partitions
insert into tbl1 values (1001), (1010), (1011);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 inner join tprt on tbl1.col1 > tprt.col1;
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 inner join tprt on tbl1.col1 = tprt.col1;
select tbl1.col1, tprt.col1 from tbl1
-- Last partition
delete from tbl1;
insert into tbl1 values (4400);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 < tprt.col1;
select tbl1.col1, tprt.col1 from tbl1
-- No matching partition
delete from tbl1;
insert into tbl1 values (10000);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from tbl1 join tprt on tbl1.col1 = tprt.col1;
select tbl1.col1, tprt.col1 from tbl1
select * from part_abc where a = $1 and b = $2 and c = $3;
-- Single partition should be scanned.
-explain (analyze, costs off, summary off, timing off) execute part_abc_q1 (1, 2, 3);
+explain (analyze, costs off, summary off, timing off, buffers off) execute part_abc_q1 (1, 2, 3);
deallocate part_abc_q1;
-- which match the given parameter.
prepare q1 (int,int) as select * from listp where b in ($1,$2);
-explain (analyze, costs off, summary off, timing off) execute q1 (1,1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,1);
-explain (analyze, costs off, summary off, timing off) execute q1 (2,2);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (2,2);
-- Try with no matching partitions.
-explain (analyze, costs off, summary off, timing off) execute q1 (0,0);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (0,0);
deallocate q1;
prepare q1 (int,int,int,int) as select * from listp where b in($1,$2) and $3 <> b and $4 <> b;
-- Both partitions allowed by IN clause, but one disallowed by <> clause
-explain (analyze, costs off, summary off, timing off) execute q1 (1,2,2,0);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,2,2,0);
-- Both partitions allowed by IN clause, then both excluded again by <> clauses.
-explain (analyze, costs off, summary off, timing off) execute q1 (1,2,2,1);
+explain (analyze, costs off, summary off, timing off, buffers off) execute q1 (1,2,2,1);
-- Ensure Params that evaluate to NULL properly prune away all partitions
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from listp where a = (select null::int);
drop table listp;
for values from ('3000-02-01') to ('3000-03-01');
-- comparison against a stable value requires run-time pruning
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning where a < localtimestamp;
-- timestamp < timestamptz comparison is only stable, not immutable
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning where a < '2000-02-01'::timestamptz;
-- check ScalarArrayOp cases
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2010-02-01', '2020-01-01']::timestamp[]);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', '2010-01-01']::timestamp[]);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', localtimestamp]::timestamp[]);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2010-02-01', '2020-01-01']::timestamptz[]);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(array['2000-02-01', '2010-01-01']::timestamptz[]);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from stable_qual_pruning
where a = any(null::timestamptz[]);
for values from (2, minvalue, minvalue) to (3, maxvalue, maxvalue);
insert into mc3p values (0, 1, 1), (1, 1, 1), (2, 1, 1);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from mc3p where a < 3 and abs(b) = 1;
--
--
prepare ps1 as
select * from mc3p where a = $1 and abs(b) < (select 3);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
execute ps1(1);
deallocate ps1;
prepare ps2 as
select * from mc3p where a <= $1 and abs(b) < (select 3);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
execute ps2(1);
deallocate ps2;
create table boolp_t partition of boolp for values in('t');
create table boolp_f partition of boolp for values in('f');
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from boolp where a = (select value from boolvalues where value);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from boolp where a = (select value from boolvalues where not value);
drop table boolp;
analyze ma_test;
prepare mt_q1 (int) as select a from ma_test where a >= $1 and a % 10 = 5 order by b;
-explain (analyze, costs off, summary off, timing off) execute mt_q1(15);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(15);
execute mt_q1(15);
-explain (analyze, costs off, summary off, timing off) execute mt_q1(25);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(25);
execute mt_q1(25);
-- Ensure MergeAppend behaves correctly when no subplans match
-explain (analyze, costs off, summary off, timing off) execute mt_q1(35);
+explain (analyze, costs off, summary off, timing off, buffers off) execute mt_q1(35);
execute mt_q1(35);
deallocate mt_q1;
prepare mt_q2 (int) as select * from ma_test where a >= $1 order by b limit 1;
-- Ensure output list looks sane when the MergeAppend has no subplans.
-explain (analyze, verbose, costs off, summary off, timing off) execute mt_q2 (35);
+explain (analyze, verbose, costs off, summary off, timing off, buffers off) execute mt_q2 (35);
deallocate mt_q2;
-- ensure initplan params properly prune partitions
-explain (analyze, costs off, summary off, timing off) select * from ma_test where a >= (select min(b) from ma_test_p2) order by b;
+explain (analyze, costs off, summary off, timing off, buffers off) select * from ma_test where a >= (select min(b) from ma_test_p2) order by b;
reset enable_seqscan;
reset enable_sort;
create table listp2 partition of listp for values in(2) partition by list(b);
create table listp2_10 partition of listp2 for values in (10);
-explain (analyze, costs off, summary off, timing off)
+explain (analyze, costs off, summary off, timing off, buffers off)
select * from listp where a = (select 2) and b <> 10;
--
create index on rangep (a);
-- Ensure run-time pruning works on the nested Merge Append
-explain (analyze on, costs off, timing off, summary off)
+explain (analyze on, costs off, timing off, summary off, buffers off)
select * from rangep where b IN((select 1),(select 2)) order by a;
reset enable_sort;
drop table rangep;
select * from onek2 where unique2 = 11 and stringu1 = 'ATAAAA';
select * from onek2 where unique2 = 11 and stringu1 = 'ATAAAA';
-- actually run the query with an analyze to use the partial index
-explain (costs off, analyze on, timing off, summary off)
+explain (costs off, analyze on, timing off, summary off, buffers off)
select * from onek2 where unique2 = 11 and stringu1 = 'ATAAAA';
explain (costs off)
select unique2 from onek2 where unique2 = 11 and stringu1 = 'ATAAAA';
CREATE TABLE selinto_schema.tbl_withdata1 (a)
AS SELECT generate_series(1,3) WITH DATA;
INSERT INTO selinto_schema.tbl_withdata1 VALUES (4);
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
CREATE TABLE selinto_schema.tbl_withdata2 (a) AS
SELECT generate_series(1,3) WITH DATA;
-- WITH NO DATA, passes.
-- EXECUTE and WITH NO DATA, passes.
CREATE TABLE selinto_schema.tbl_nodata3 (a) AS
EXECUTE data_sel WITH NO DATA;
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
CREATE TABLE selinto_schema.tbl_nodata4 (a) AS
EXECUTE data_sel WITH NO DATA;
RESET SESSION AUTHORIZATION;
-- test accumulation of stats for parallel nodes
reset enable_seqscan;
alter table tenk2 set (parallel_workers = 0);
-explain (analyze, timing off, summary off, costs off)
+explain (analyze, timing off, summary off, costs off, buffers off)
select count(*) from tenk1, tenk2 where tenk1.hundred > 1
and tenk2.thousand=0;
alter table tenk2 reset (parallel_workers);
declare ln text;
begin
for ln in
- explain (analyze, timing off, summary off, costs off)
+ explain (analyze, timing off, summary off, costs off, buffers off)
select * from
(select ten from tenk1 where ten < 100 order by ten) ss
right join (values (1),(2),(3)) v(x) on true
-- to increase the parallel query test coverage
SAVEPOINT settings;
SET LOCAL debug_parallel_query = 1;
-EXPLAIN (analyze, timing off, summary off, costs off) SELECT * FROM tenk1;
+EXPLAIN (analyze, timing off, summary off, costs off, buffers off) SELECT * FROM tenk1;
ROLLBACK TO SAVEPOINT settings;
-- provoke error in worker
declare ln text;
begin
for ln in
- explain (analyze, summary off, timing off, costs off)
+ explain (analyze, summary off, timing off, costs off, buffers off)
select * from (select pk,c2 from sq_limit order by c1,pk) as x limit 3
loop
ln := regexp_replace(ln, 'Memory: \S*', 'Memory: xxx');
FETCH NEXT FROM c; -- skip one row
FETCH NEXT FROM c;
-- perform update
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
FETCH NEXT FROM c;
-- perform update
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
SELECT * FROM tidscan;
-- position cursor past any rows
FETCH NEXT FROM c;
-- should error out
-EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF)
+EXPLAIN (ANALYZE, COSTS OFF, SUMMARY OFF, TIMING OFF, BUFFERS OFF)
UPDATE tidscan SET id = -id WHERE CURRENT OF c RETURNING *;
ROLLBACK;