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https://github.com/timescale/timescaledb.git
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fd75dec223
This change modifies the timescale_fdw to allow aggregates on a subset of partitioning dimensions to be pushed down to data node. The deparsing code has also been modified to wrap the pushed aggregate in a _timescaledb_internal.partialize_agg call, which will return the proper array of values which postgres can combine into the finalized value.
36 lines
3.4 KiB
SQL
36 lines
3.4 KiB
SQL
-- This file and its contents are licensed under the Timescale License.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-TIMESCALE for a copy of the license.
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-- This files assumes the existence of some table with definition as seen in the aggregate_table.sql file.
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'POR', 'west', generate_series(25, 85, 0.0625), 75, 40, 70, NULL, (1,2)::custom_type, 2, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'SFO', 'west', generate_series(25, 85, 0.0625), 75, 40, 70, NULL, (1,2)::custom_type, 2, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'SAC', 'west', generate_series(25, 85, 0.0625), 75, 40, 70, NULL, (1,2)::custom_type, 2, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'SEA', 'west', generate_series(25, 85, 0.0625), 75, 40, 70, NULL, (1,2)::custom_type, 2, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'TAC', 'west', generate_series(25, 85, 0.0625), 75, 40, 70, NULL, (1,2)::custom_type, 2, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'NYC', 'north-east', generate_series(29, 41, 0.0125), 45, 50, 40, NULL, (3,4)::custom_type, 4, false;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'BOS', 'north-east', generate_series(29, 41, 0.0125), 45, 50, 40, NULL, (3,4)::custom_type, 4, false;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'CHI', 'midwest', generate_series(29, 41, 0.0125), 45, 50, 40, NULL, (3,4)::custom_type, 4, false;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'MIN', 'midwest', generate_series(29, 41, 0.0125), 45, 50, 40, NULL, (3,4)::custom_type, 4, false;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'DET', 'midwest', generate_series(29, 41, 0.0125), 45, 50, 40, NULL, (3,4)::custom_type, 4, false;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'LA', 'west', generate_series(61, 85, 0.025), 55, NULL, 28, NULL, NULL, 8, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'SDG', 'west', generate_series(61, 85, 0.025), 55, NULL, 28, NULL, NULL, 8, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'PHX', 'west', generate_series(61, 85, 0.025), 55, NULL, 28, NULL, NULL, 8, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'DAL', 'south', generate_series(61, 85, 0.025), 55, NULL, 28, NULL, NULL, 8, true;
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INSERT INTO :TEST_TABLE
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SELECT generate_series('2018-12-01 00:00'::timestamp, '2018-12-04 08:00'::timestamp, '5 minute'), 'AUS', 'south', generate_series(61, 85, 0.025), 55, NULL, 28, NULL, NULL, 8, true;
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