mirror of
https://github.com/timescale/timescaledb.git
synced 2025-05-23 06:22:03 +08:00
Remove plan costs from test output
Since planning costs are not stable across platforms they should not be included in test output.
This commit is contained in:
Sven Klemm
Sven Klemm
parent
ca9363af8b
commit
f49d00c4ec
@ -272,94 +272,94 @@ select * from (select * from mat_m2 where timec > '2018-10-01' order by timec de
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(12 rows)
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--plans with CTE
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explain verbose
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:EXPLAIN
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with m1 as (
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Select * from mat_m2 where timec > '2018-10-01' order by timec desc )
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select * from m1;
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QUERY PLAN
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--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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CTE Scan on m1 (cost=24.48..27.14 rows=133 width=72)
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CTE Scan on m1
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Output: m1.location, m1.timec, m1.firsth, m1.lasth, m1.maxtemp, m1.mintemp
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CTE m1
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-> GroupAggregate (cost=18.17..23.15 rows=133 width=72)
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-> GroupAggregate
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_6_6, NULL::double precision)
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Group Key: _hyper_3_6_chunk.timec, _hyper_3_6_chunk.location
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-> Sort (cost=18.17..18.50 rows=133 width=168)
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-> Sort
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
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Sort Key: _hyper_3_6_chunk.timec DESC, _hyper_3_6_chunk.location
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-> Append (cost=0.15..13.48 rows=133 width=168)
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-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk (cost=0.15..13.48 rows=133 width=168)
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-> Append
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-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
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Index Cond: (_hyper_3_6_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
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(13 rows)
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-- should reorder mat_m1 group by only based on mat_m1 order-by
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explain verbose
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:EXPLAIN
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select * from mat_m1, mat_m2 where mat_m1.timec > '2018-10-01' and mat_m1.timec = mat_m2.timec order by mat_m1.timec desc;
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QUERY PLAN
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----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Merge Join (cost=114.02..123.82 rows=160 width=160)
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Merge Join
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
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Merge Cond: (_hyper_2_4_chunk.timec = _hyper_3_5_chunk.timec)
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-> GroupAggregate (cost=19.81..25.01 rows=160 width=88)
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-> GroupAggregate
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
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Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
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-> Sort (cost=19.81..20.21 rows=160 width=136)
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-> Sort
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
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Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
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-> Append (cost=0.15..13.95 rows=160 width=136)
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-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
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-> Append
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-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
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Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
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-> Sort (cost=94.22..94.72 rows=200 width=72)
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-> Sort
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Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
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Sort Key: _hyper_3_5_chunk.timec DESC
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-> GroupAggregate (cost=66.58..84.58 rows=200 width=72)
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-> GroupAggregate
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Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision)
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Group Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
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-> Sort (cost=66.58..68.58 rows=800 width=168)
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-> Sort
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Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
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Sort Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
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-> Append (cost=0.00..28.00 rows=800 width=168)
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-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk (cost=0.00..14.00 rows=400 width=168)
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-> Append
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-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk
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Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
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-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk (cost=0.00..14.00 rows=400 width=168)
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-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
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(27 rows)
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--should reorder only for mat_m1.
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explain verbose
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:EXPLAIN
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select * from mat_m1, regview where mat_m1.timec > '2018-10-01' and mat_m1.timec = regview.timec order by mat_m1.timec desc;
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QUERY PLAN
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------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Merge Join (cost=230.64..240.44 rows=160 width=176)
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Merge Join
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
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Merge Cond: (_hyper_2_4_chunk.timec = (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)))
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-> GroupAggregate (cost=19.81..25.01 rows=160 width=88)
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-> GroupAggregate
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
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Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
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-> Sort (cost=19.81..20.21 rows=160 width=136)
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-> Sort
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
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Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
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-> Append (cost=0.15..13.95 rows=160 width=136)
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-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
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-> Append
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-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
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Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
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-> Sort (cost=210.84..211.34 rows=200 width=88)
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-> Sort
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Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
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Sort Key: (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)) DESC
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-> GroupAggregate (cost=169.59..201.19 rows=200 width=88)
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-> GroupAggregate
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Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), min(_hyper_1_1_chunk.location), sum(_hyper_1_1_chunk.temperature), sum(_hyper_1_1_chunk.humidity)
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Group Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
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-> Sort (cost=169.59..174.44 rows=1940 width=56)
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-> Sort
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Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
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Sort Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
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-> Result (cost=0.00..63.65 rows=1940 width=56)
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-> Result
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Output: _hyper_1_1_chunk.location, time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
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-> Append (cost=0.00..39.40 rows=1940 width=56)
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-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk (cost=0.00..19.70 rows=970 width=56)
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-> Append
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-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk
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Output: _hyper_1_1_chunk.location, _hyper_1_1_chunk.timec, _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
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-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk (cost=0.00..19.70 rows=970 width=56)
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-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk
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Output: _hyper_1_2_chunk.location, _hyper_1_2_chunk.timec, _hyper_1_2_chunk.temperature, _hyper_1_2_chunk.humidity
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(29 rows)
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@ -272,94 +272,94 @@ select * from (select * from mat_m2 where timec > '2018-10-01' order by timec de
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(12 rows)
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--plans with CTE
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explain verbose
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:EXPLAIN
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with m1 as (
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Select * from mat_m2 where timec > '2018-10-01' order by timec desc )
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select * from m1;
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QUERY PLAN
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--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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CTE Scan on m1 (cost=25.15..27.81 rows=133 width=72)
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CTE Scan on m1
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Output: m1.location, m1.timec, m1.firsth, m1.lasth, m1.maxtemp, m1.mintemp
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CTE m1
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-> GroupAggregate (cost=18.83..23.82 rows=133 width=72)
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-> GroupAggregate
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_6_6, NULL::double precision)
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Group Key: _hyper_3_6_chunk.timec, _hyper_3_6_chunk.location
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-> Sort (cost=18.83..19.16 rows=133 width=168)
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-> Sort
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
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Sort Key: _hyper_3_6_chunk.timec DESC, _hyper_3_6_chunk.location
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-> Append (cost=0.15..14.14 rows=133 width=168)
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-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk (cost=0.15..13.48 rows=133 width=168)
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-> Append
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-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk
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Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
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Index Cond: (_hyper_3_6_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
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(13 rows)
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-- should reorder mat_m1 group by only based on mat_m1 order-by
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explain verbose
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:EXPLAIN
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select * from mat_m1, mat_m2 where mat_m1.timec > '2018-10-01' and mat_m1.timec = mat_m2.timec order by mat_m1.timec desc;
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QUERY PLAN
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----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Merge Join (cost=118.82..128.62 rows=160 width=160)
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Merge Join
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Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
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Merge Cond: (_hyper_2_4_chunk.timec = _hyper_3_5_chunk.timec)
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||||
-> GroupAggregate (cost=20.61..25.81 rows=160 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
|
||||
Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
|
||||
-> Sort (cost=20.61..21.01 rows=160 width=136)
|
||||
-> Sort
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
|
||||
-> Append (cost=0.15..14.75 rows=160 width=136)
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Append
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
|
||||
-> Sort (cost=98.22..98.72 rows=200 width=72)
|
||||
-> Sort
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
|
||||
Sort Key: _hyper_3_5_chunk.timec DESC
|
||||
-> GroupAggregate (cost=70.58..88.58 rows=200 width=72)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision)
|
||||
Group Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
|
||||
-> Sort (cost=70.58..72.58 rows=800 width=168)
|
||||
-> Sort
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
|
||||
Sort Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
|
||||
-> Append (cost=0.00..32.00 rows=800 width=168)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk (cost=0.00..14.00 rows=400 width=168)
|
||||
-> Append
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk (cost=0.00..14.00 rows=400 width=168)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk
|
||||
Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
|
||||
(27 rows)
|
||||
|
||||
--should reorder only for mat_m1.
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
select * from mat_m1, regview where mat_m1.timec > '2018-10-01' and mat_m1.timec = regview.timec order by mat_m1.timec desc;
|
||||
QUERY PLAN
|
||||
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
||||
Merge Join (cost=241.14..250.94 rows=160 width=176)
|
||||
Merge Join
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
|
||||
Merge Cond: (_hyper_2_4_chunk.timec = (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)))
|
||||
-> GroupAggregate (cost=20.61..25.81 rows=160 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
|
||||
Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
|
||||
-> Sort (cost=20.61..21.01 rows=160 width=136)
|
||||
-> Sort
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
|
||||
-> Append (cost=0.15..14.75 rows=160 width=136)
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Append
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
|
||||
-> Sort (cost=220.54..221.04 rows=200 width=88)
|
||||
-> Sort
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
|
||||
Sort Key: (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)) DESC
|
||||
-> GroupAggregate (cost=179.29..210.89 rows=200 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), min(_hyper_1_1_chunk.location), sum(_hyper_1_1_chunk.temperature), sum(_hyper_1_1_chunk.humidity)
|
||||
Group Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
|
||||
-> Sort (cost=179.29..184.14 rows=1940 width=56)
|
||||
-> Sort
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
Sort Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
|
||||
-> Result (cost=0.00..73.35 rows=1940 width=56)
|
||||
-> Result
|
||||
Output: _hyper_1_1_chunk.location, time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
-> Append (cost=0.00..49.10 rows=1940 width=56)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk (cost=0.00..19.70 rows=970 width=56)
|
||||
-> Append
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk
|
||||
Output: _hyper_1_1_chunk.location, _hyper_1_1_chunk.timec, _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk (cost=0.00..19.70 rows=970 width=56)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk
|
||||
Output: _hyper_1_2_chunk.location, _hyper_1_2_chunk.timec, _hyper_1_2_chunk.temperature, _hyper_1_2_chunk.humidity
|
||||
(29 rows)
|
||||
|
||||
|
||||
@ -272,94 +272,94 @@ select * from (select * from mat_m2 where timec > '2018-10-01' order by timec de
|
||||
(12 rows)
|
||||
|
||||
--plans with CTE
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
with m1 as (
|
||||
Select * from mat_m2 where timec > '2018-10-01' order by timec desc )
|
||||
select * from m1;
|
||||
QUERY PLAN
|
||||
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
||||
CTE Scan on m1 (cost=24.48..27.14 rows=133 width=72)
|
||||
CTE Scan on m1
|
||||
Output: m1.location, m1.timec, m1.firsth, m1.lasth, m1.maxtemp, m1.mintemp
|
||||
CTE m1
|
||||
-> GroupAggregate (cost=18.17..23.15 rows=133 width=72)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_6_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_6_chunk.agg_6_6, NULL::double precision)
|
||||
Group Key: _hyper_3_6_chunk.timec, _hyper_3_6_chunk.location
|
||||
-> Sort (cost=18.17..18.50 rows=133 width=168)
|
||||
-> Sort
|
||||
Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
|
||||
Sort Key: _hyper_3_6_chunk.timec DESC, _hyper_3_6_chunk.location
|
||||
-> Append (cost=0.15..13.48 rows=133 width=168)
|
||||
-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk (cost=0.15..13.48 rows=133 width=168)
|
||||
-> Append
|
||||
-> Index Scan using _hyper_3_6_chunk__materialized_hypertable_3_timec_idx on _timescaledb_internal._hyper_3_6_chunk
|
||||
Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
|
||||
Index Cond: (_hyper_3_6_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
|
||||
(13 rows)
|
||||
|
||||
-- should reorder mat_m1 group by only based on mat_m1 order-by
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
select * from mat_m1, mat_m2 where mat_m1.timec > '2018-10-01' and mat_m1.timec = mat_m2.timec order by mat_m1.timec desc;
|
||||
QUERY PLAN
|
||||
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
||||
Merge Join (cost=114.02..123.82 rows=160 width=160)
|
||||
Merge Join
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
|
||||
Merge Cond: (_hyper_2_4_chunk.timec = _hyper_3_5_chunk.timec)
|
||||
-> GroupAggregate (cost=19.81..25.01 rows=160 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
|
||||
Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
|
||||
-> Sort (cost=19.81..20.21 rows=160 width=136)
|
||||
-> Sort
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
|
||||
-> Append (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Append
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
|
||||
-> Sort (cost=94.22..94.72 rows=200 width=72)
|
||||
-> Sort
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, (_timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision)), (_timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision)), (_timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision))
|
||||
Sort Key: _hyper_3_5_chunk.timec DESC
|
||||
-> GroupAggregate (cost=66.58..84.58 rows=200 width=72)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _timescaledb_internal.finalize_agg('first(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_3_3, NULL::double precision), _timescaledb_internal.finalize_agg('last(anyelement,"any")'::text, NULL::name, NULL::name, '{{pg_catalog,float8},{pg_catalog,timestamptz}}'::name[], _hyper_3_5_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('max(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_5_5, NULL::double precision), _timescaledb_internal.finalize_agg('min(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_3_5_chunk.agg_6_6, NULL::double precision)
|
||||
Group Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
|
||||
-> Sort (cost=66.58..68.58 rows=800 width=168)
|
||||
-> Sort
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
|
||||
Sort Key: _hyper_3_5_chunk.timec, _hyper_3_5_chunk.location
|
||||
-> Append (cost=0.00..28.00 rows=800 width=168)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk (cost=0.00..14.00 rows=400 width=168)
|
||||
-> Append
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_5_chunk
|
||||
Output: _hyper_3_5_chunk.location, _hyper_3_5_chunk.timec, _hyper_3_5_chunk.agg_3_3, _hyper_3_5_chunk.agg_4_4, _hyper_3_5_chunk.agg_5_5, _hyper_3_5_chunk.agg_6_6
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk (cost=0.00..14.00 rows=400 width=168)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_3_6_chunk
|
||||
Output: _hyper_3_6_chunk.location, _hyper_3_6_chunk.timec, _hyper_3_6_chunk.agg_3_3, _hyper_3_6_chunk.agg_4_4, _hyper_3_6_chunk.agg_5_5, _hyper_3_6_chunk.agg_6_6
|
||||
(27 rows)
|
||||
|
||||
--should reorder only for mat_m1.
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
select * from mat_m1, regview where mat_m1.timec > '2018-10-01' and mat_m1.timec = regview.timec order by mat_m1.timec desc;
|
||||
QUERY PLAN
|
||||
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
|
||||
Merge Join (cost=230.64..240.44 rows=160 width=176)
|
||||
Merge Join
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, (_timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision)), (_timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)), _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
|
||||
Merge Cond: (_hyper_2_4_chunk.timec = (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)))
|
||||
-> GroupAggregate (cost=19.81..25.01 rows=160 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _timescaledb_internal.finalize_agg('min(text)'::text, 'pg_catalog'::name, 'default'::name, '{{pg_catalog,text}}'::name[], _hyper_2_4_chunk.agg_3_3, NULL::text), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_4_4, NULL::double precision), _timescaledb_internal.finalize_agg('sum(double precision)'::text, NULL::name, NULL::name, '{{pg_catalog,float8}}'::name[], _hyper_2_4_chunk.agg_5_5, NULL::double precision)
|
||||
Group Key: _hyper_2_4_chunk.timec, _hyper_2_4_chunk.location
|
||||
-> Sort (cost=19.81..20.21 rows=160 width=136)
|
||||
-> Sort
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Sort Key: _hyper_2_4_chunk.timec DESC, _hyper_2_4_chunk.location
|
||||
-> Append (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk (cost=0.15..13.95 rows=160 width=136)
|
||||
-> Append
|
||||
-> Index Scan using _hyper_2_4_chunk__materialized_hypertable_2_timec_idx on _timescaledb_internal._hyper_2_4_chunk
|
||||
Output: _hyper_2_4_chunk.location, _hyper_2_4_chunk.timec, _hyper_2_4_chunk.agg_3_3, _hyper_2_4_chunk.agg_4_4, _hyper_2_4_chunk.agg_5_5
|
||||
Index Cond: (_hyper_2_4_chunk.timec > 'Mon Oct 01 00:00:00 2018 PDT'::timestamp with time zone)
|
||||
-> Sort (cost=210.84..211.34 rows=200 width=88)
|
||||
-> Sort
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), (min(_hyper_1_1_chunk.location)), (sum(_hyper_1_1_chunk.temperature)), (sum(_hyper_1_1_chunk.humidity))
|
||||
Sort Key: (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)) DESC
|
||||
-> GroupAggregate (cost=169.59..201.19 rows=200 width=88)
|
||||
-> GroupAggregate
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), min(_hyper_1_1_chunk.location), sum(_hyper_1_1_chunk.temperature), sum(_hyper_1_1_chunk.humidity)
|
||||
Group Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
|
||||
-> Sort (cost=169.59..174.44 rows=1940 width=56)
|
||||
-> Sort
|
||||
Output: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec)), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
Sort Key: _hyper_1_1_chunk.location, (time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec))
|
||||
-> Result (cost=0.00..63.65 rows=1940 width=56)
|
||||
-> Result
|
||||
Output: _hyper_1_1_chunk.location, time_bucket('@ 1 day'::interval, _hyper_1_1_chunk.timec), _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
-> Append (cost=0.00..39.40 rows=1940 width=56)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk (cost=0.00..19.70 rows=970 width=56)
|
||||
-> Append
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_1_chunk
|
||||
Output: _hyper_1_1_chunk.location, _hyper_1_1_chunk.timec, _hyper_1_1_chunk.temperature, _hyper_1_1_chunk.humidity
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk (cost=0.00..19.70 rows=970 width=56)
|
||||
-> Seq Scan on _timescaledb_internal._hyper_1_2_chunk
|
||||
Output: _hyper_1_2_chunk.location, _hyper_1_2_chunk.timec, _hyper_1_2_chunk.temperature, _hyper_1_2_chunk.humidity
|
||||
(29 rows)
|
||||
|
||||
|
||||
@ -114,16 +114,16 @@ select * from (select * from mat_m2 where timec > '2018-10-01' order by timec de
|
||||
select * from (select * from mat_m2 where timec > '2018-10-01' order by timec desc , location asc nulls first) as q limit 1;
|
||||
|
||||
--plans with CTE
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
with m1 as (
|
||||
Select * from mat_m2 where timec > '2018-10-01' order by timec desc )
|
||||
select * from m1;
|
||||
|
||||
-- should reorder mat_m1 group by only based on mat_m1 order-by
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
select * from mat_m1, mat_m2 where mat_m1.timec > '2018-10-01' and mat_m1.timec = mat_m2.timec order by mat_m1.timec desc;
|
||||
--should reorder only for mat_m1.
|
||||
explain verbose
|
||||
:EXPLAIN
|
||||
select * from mat_m1, regview where mat_m1.timec > '2018-10-01' and mat_m1.timec = regview.timec order by mat_m1.timec desc;
|
||||
|
||||
select l.locid, mat_m1.* from mat_m1 , location_tab l where timec > '2018-10-01' and l.locname = mat_m1.location order by timec desc;
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user