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https://github.com/timescale/timescaledb.git
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819414df02
This PR adds test infrastructure for running tests with shared tables. This allows having hypertables with specific configurations usable for all tests. Since these tests also don't require creating a new database for each test case some of the overhead of the normal tests is removed. While this will lead to much faster query tests some tests will still require their own database to test things, but most queres could be moved to this infrastructure to improve test coverage and speed them up.
71 lines
6.3 KiB
SQL
71 lines
6.3 KiB
SQL
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SET client_min_messages TO ERROR;
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-- create normal hypertable with dropped columns, each chunk will have different attribute numbers
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CREATE TABLE metrics(filler_1 int, filler_2 int, filler_3 int, time timestamptz NOT NULL, device_id int, v0 int, v1 int, v2 float, v3 float);
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CREATE INDEX ON metrics(time DESC);
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CREATE INDEX ON metrics(device_id,time DESC);
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SELECT create_hypertable('metrics','time',create_default_indexes:=false);
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ALTER TABLE metrics DROP COLUMN filler_1;
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INSERT INTO metrics(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-01 0:00:00+0'::timestamptz,'2000-01-05 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics DROP COLUMN filler_2;
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INSERT INTO metrics(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id-1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-06 0:00:00+0'::timestamptz,'2000-01-12 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics DROP COLUMN filler_3;
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INSERT INTO metrics(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-13 0:00:00+0'::timestamptz,'2000-01-19 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ANALYZE metrics;
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-- create identical hypertable with space partitioning
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CREATE TABLE metrics_space(filler_1 int, filler_2 int, filler_3 int, time timestamptz NOT NULL, device_id int, v0 int, v1 float, v2 float, v3 float);
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CREATE INDEX ON metrics_space(time);
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CREATE INDEX ON metrics_space(device_id,time);
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SELECT create_hypertable('metrics_space','time','device_id',3,create_default_indexes:=false);
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ALTER TABLE metrics_space DROP COLUMN filler_1;
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INSERT INTO metrics_space(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-01 0:00:00+0'::timestamptz,'2000-01-05 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_space DROP COLUMN filler_2;
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INSERT INTO metrics_space(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-06 0:00:00+0'::timestamptz,'2000-01-12 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_space DROP COLUMN filler_3;
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INSERT INTO metrics_space(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-13 0:00:00+0'::timestamptz,'2000-01-19 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ANALYZE metrics_space;
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-- create hypertable with compression
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CREATE TABLE metrics_compressed(filler_1 int, filler_2 int, filler_3 int, time timestamptz NOT NULL, device_id int, v0 int, v1 int, v2 float, v3 float);
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CREATE INDEX ON metrics_compressed(time);
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CREATE INDEX ON metrics_compressed(device_id,time);
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SELECT create_hypertable('metrics_compressed','time',create_default_indexes:=false);
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ALTER TABLE metrics_compressed DROP COLUMN filler_1;
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INSERT INTO metrics_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-01 0:00:00+0'::timestamptz,'2000-01-05 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_compressed DROP COLUMN filler_2;
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INSERT INTO metrics_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id-1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-06 0:00:00+0'::timestamptz,'2000-01-12 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_compressed DROP COLUMN filler_3;
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INSERT INTO metrics_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-13 0:00:00+0'::timestamptz,'2000-01-19 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ANALYZE metrics_compressed;
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-- compress chunks
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ALTER TABLE metrics_compressed SET (timescaledb.compress, timescaledb.compress_orderby='time DESC', timescaledb.compress_segmentby='device_id');
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SELECT compress_chunk(c.schema_name|| '.' || c.table_name)
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FROM _timescaledb_catalog.chunk c, _timescaledb_catalog.hypertable ht where c.hypertable_id = ht.id and ht.table_name = 'metrics_compressed' and c.compressed_chunk_id IS NULL;
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-- create hypertable with space partitioning and compression
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CREATE TABLE metrics_space_compressed(filler_1 int, filler_2 int, filler_3 int, time timestamptz NOT NULL, device_id int, v0 int, v1 float, v2 float, v3 float);
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CREATE INDEX ON metrics_space_compressed(time);
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CREATE INDEX ON metrics_space_compressed(device_id,time);
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SELECT create_hypertable('metrics_space_compressed','time','device_id',3,create_default_indexes:=false);
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ALTER TABLE metrics_space_compressed DROP COLUMN filler_1;
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INSERT INTO metrics_space_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-01 0:00:00+0'::timestamptz,'2000-01-05 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_space_compressed DROP COLUMN filler_2;
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INSERT INTO metrics_space_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-06 0:00:00+0'::timestamptz,'2000-01-12 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ALTER TABLE metrics_space_compressed DROP COLUMN filler_3;
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INSERT INTO metrics_space_compressed(time,device_id,v0,v1,v2,v3) SELECT time, device_id, device_id+1, device_id + 2, device_id + 0.5, NULL FROM generate_series('2000-01-13 0:00:00+0'::timestamptz,'2000-01-19 23:55:00+0','2m') gtime(time), generate_series(1,5,1) gdevice(device_id);
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ANALYZE metrics_space_compressed;
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-- compress chunks
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ALTER TABLE metrics_space_compressed SET (timescaledb.compress, timescaledb.compress_orderby='time DESC', timescaledb.compress_segmentby='device_id');
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SELECT compress_chunk(c.schema_name|| '.' || c.table_name)
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FROM _timescaledb_catalog.chunk c, _timescaledb_catalog.hypertable ht where c.hypertable_id = ht.id and ht.table_name = 'metrics_space_compressed' and c.compressed_chunk_id IS NULL;
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