-- This file and its contents are licensed under the Timescale License. -- Please see the included NOTICE for copyright information and -- LICENSE-TIMESCALE for a copy of the license. SET client_min_messages TO ERROR; SET ROLE :ROLE_DEFAULT_PERM_USER; -- create normal hypertable with dropped columns, each chunk will have different attribute numbers 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); CREATE INDEX ON metrics(time DESC); CREATE INDEX ON metrics(device_id,time DESC); SELECT create_hypertable('metrics','time',create_default_indexes:=false); ALTER TABLE metrics DROP COLUMN filler_1; 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); ALTER TABLE metrics DROP COLUMN filler_2; 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); ALTER TABLE metrics DROP COLUMN filler_3; 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); ANALYZE metrics; -- create identical hypertable with space partitioning 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); CREATE INDEX ON metrics_space(time); CREATE INDEX ON metrics_space(device_id,time); SELECT create_hypertable('metrics_space','time','device_id',3,create_default_indexes:=false); ALTER TABLE metrics_space DROP COLUMN filler_1; 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); ALTER TABLE metrics_space DROP COLUMN filler_2; 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); ALTER TABLE metrics_space DROP COLUMN filler_3; 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); ANALYZE metrics_space; -- create hypertable with compression 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); CREATE INDEX ON metrics_compressed(time); CREATE INDEX ON metrics_compressed(device_id,time); SELECT create_hypertable('metrics_compressed','time',create_default_indexes:=false); ALTER TABLE metrics_compressed DROP COLUMN filler_1; 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); ALTER TABLE metrics_compressed DROP COLUMN filler_2; 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); ALTER TABLE metrics_compressed DROP COLUMN filler_3; 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); ANALYZE metrics_compressed; -- compress chunks ALTER TABLE metrics_compressed SET (timescaledb.compress, timescaledb.compress_orderby='time DESC', timescaledb.compress_segmentby='device_id'); SELECT compress_chunk(c.schema_name|| '.' || c.table_name) 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 ORDER BY c.table_name DESC; -- create hypertable with space partitioning and compression 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); CREATE INDEX ON metrics_space_compressed(time); CREATE INDEX ON metrics_space_compressed(device_id,time); SELECT create_hypertable('metrics_space_compressed','time','device_id',3,create_default_indexes:=false); ALTER TABLE metrics_space_compressed DROP COLUMN filler_1; 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); ALTER TABLE metrics_space_compressed DROP COLUMN filler_2; 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); ALTER TABLE metrics_space_compressed DROP COLUMN filler_3; 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); ANALYZE metrics_space_compressed; -- compress chunks ALTER TABLE metrics_space_compressed SET (timescaledb.compress, timescaledb.compress_orderby='time DESC', timescaledb.compress_segmentby='device_id'); SELECT compress_chunk(c.schema_name|| '.' || c.table_name) 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 ORDER BY c.table_name DESC; RESET ROLE; -- Add data nodes SELECT * FROM add_data_node('data_node_1', host => 'localhost', database => 'data_node_1'); SELECT * FROM add_data_node('data_node_2', host => 'localhost', database => 'data_node_2'); SELECT * FROM add_data_node('data_node_3', host => 'localhost', database => 'data_node_3'); GRANT USAGE ON FOREIGN SERVER data_node_1, data_node_2, data_node_3 TO PUBLIC; SET ROLE :ROLE_DEFAULT_PERM_USER; 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); SELECT create_distributed_hypertable('metrics_dist','time','device_id',3); ALTER TABLE metrics_dist DROP COLUMN filler_1; 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); ALTER TABLE metrics_dist DROP COLUMN filler_2; 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); ALTER TABLE metrics_dist DROP COLUMN filler_3; 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); ANALYZE metrics_dist;