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https://github.com/timescale/timescaledb.git
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02d715f216
This patch sets up a distributed hypertable in the regresscheck-shared environment to enable running distributed tests.
98 lines
8.1 KiB
SQL
98 lines
8.1 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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SET client_min_messages TO ERROR;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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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 int, 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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ORDER BY c.table_name DESC;
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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 int, 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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ORDER BY c.table_name DESC;
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RESET ROLE;
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-- Add data nodes
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SELECT * FROM add_data_node('data_node_1', host => 'localhost', database => 'data_node_1');
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SELECT * FROM add_data_node('data_node_2', host => 'localhost', database => 'data_node_2');
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SELECT * FROM add_data_node('data_node_3', host => 'localhost', database => 'data_node_3');
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GRANT USAGE ON FOREIGN SERVER data_node_1, data_node_2, data_node_3 TO PUBLIC;
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SET ROLE :ROLE_DEFAULT_PERM_USER;
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CREATE TABLE metrics_dist(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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SELECT create_distributed_hypertable('metrics_dist','time','device_id',3);
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ALTER TABLE metrics_dist DROP COLUMN filler_1;
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INSERT INTO metrics_dist(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_dist DROP COLUMN filler_2;
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INSERT INTO metrics_dist(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_dist DROP COLUMN filler_3;
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INSERT INTO metrics_dist(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_dist;
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