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Make adaptive chunking test work for PG12
PostgreSQL 12 introduced space optimizations for indexes, which caused the adaptive chunking test to fail since its measure of chunk size includes indexes that now report different sizes. To fix this, the adaptive chunking test now has version-specific output files.
This commit is contained in:
Erik Nordström
Erik Nordström
parent
54c9256256
commit
f633b19266
595
test/expected/chunk_adaptive-11.out
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595
test/expected/chunk_adaptive-11.out
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@ -0,0 +1,595 @@
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-- This file and its contents are licensed under the Apache License 2.0.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-APACHE for a copy of the license.
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-- Valid chunk sizing function for testing
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CREATE OR REPLACE FUNCTION calculate_chunk_interval(
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dimension_id INTEGER,
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dimension_coord BIGINT,
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chunk_target_size BIGINT
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)
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RETURNS BIGINT LANGUAGE PLPGSQL AS
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$BODY$
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DECLARE
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BEGIN
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RETURN -1;
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END
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$BODY$;
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-- Chunk sizing function with bad signature
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CREATE OR REPLACE FUNCTION bad_calculate_chunk_interval(
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dimension_id INTEGER
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)
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RETURNS BIGINT LANGUAGE PLPGSQL AS
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$BODY$
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DECLARE
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BEGIN
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RETURN -1;
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END
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$BODY$;
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-- Set a fixed memory cache size to make tests determinstic
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-- (independent of available machine memory)
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SELECT * FROM test.set_memory_cache_size('2GB');
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set_memory_cache_size
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-----------------------
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2147483648
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(1 row)
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-- test NULL handling
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\set ON_ERROR_STOP 0
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SELECT * FROM set_adaptive_chunking(NULL,NULL);
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ERROR: invalid hypertable: cannot be NULL
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\set ON_ERROR_STOP 1
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CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
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\set ON_ERROR_STOP 0
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-- Bad signature of sizing func should fail
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SELECT create_hypertable('test_adaptive', 'time',
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chunk_target_size => '1MB',
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chunk_sizing_func => 'bad_calculate_chunk_interval');
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ERROR: invalid function signature
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\set ON_ERROR_STOP 1
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-- Setting sizing func with correct signature should work
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SELECT create_hypertable('test_adaptive', 'time',
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chunk_target_size => '1MB',
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chunk_sizing_func => 'calculate_chunk_interval');
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
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NOTICE: adding not-null constraint to column "time"
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create_hypertable
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----------------------------
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(1,public,test_adaptive,t)
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(1 row)
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DROP TABLE test_adaptive;
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CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
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-- Size but no explicit func should use default func
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SELECT create_hypertable('test_adaptive', 'time',
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chunk_target_size => '1MB',
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create_default_indexes => true);
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
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NOTICE: adding not-null constraint to column "time"
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create_hypertable
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----------------------------
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(2,public,test_adaptive,t)
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1048576
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(1 row)
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-- Check that adaptive chunking sets a 1 day default chunk time
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-- interval => 86400000000 microseconds
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SELECT * FROM _timescaledb_catalog.dimension;
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id | hypertable_id | column_name | column_type | aligned | num_slices | partitioning_func_schema | partitioning_func | interval_length | integer_now_func_schema | integer_now_func
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----+---------------+-------------+--------------------------+---------+------------+--------------------------+-------------------+-----------------+-------------------------+------------------
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2 | 2 | time | timestamp with time zone | t | | | | 86400000000 | |
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(1 row)
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-- Change the target size
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SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 2097152
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 2097152
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(1 row)
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\set ON_ERROR_STOP 0
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-- Setting NULL func should fail
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SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB', NULL);
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ERROR: invalid chunk sizing function
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\set ON_ERROR_STOP 1
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-- Setting NULL size disables adaptive chunking
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SELECT * FROM set_adaptive_chunking('test_adaptive', NULL);
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 0
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
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(1 row)
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SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 1048576
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(1 row)
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-- Setting size to 'off' should also disable
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SELECT * FROM set_adaptive_chunking('test_adaptive', 'off');
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 0
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
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(1 row)
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-- Setting 0 size should also disable
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SELECT * FROM set_adaptive_chunking('test_adaptive', '0MB');
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 0
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
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(1 row)
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SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 1048576
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(1 row)
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-- No warning about small target size if > 10MB
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SELECT * FROM set_adaptive_chunking('test_adaptive', '11MB');
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 11534336
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(1 row)
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-- Setting size to 'estimate' should also estimate size
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SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 1932735283
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1932735283
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(1 row)
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-- Use a lower memory setting to test that the calculated chunk_target_size is reduced
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SELECT * FROM test.set_memory_cache_size('512MB');
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set_memory_cache_size
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-----------------------
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536870912
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(1 row)
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SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 483183820
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(1 row)
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SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
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FROM _timescaledb_catalog.hypertable;
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table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
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---------------+--------------------------+--------------------------+-------------------
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test_adaptive | _timescaledb_internal | calculate_chunk_interval | 483183820
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(1 row)
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-- Reset memory settings
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SELECT * FROM test.set_memory_cache_size('2GB');
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set_memory_cache_size
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-----------------------
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2147483648
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(1 row)
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-- Set a reasonable test value
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SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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chunk_sizing_func | chunk_target_size
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------------------------------------------------+-------------------
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_timescaledb_internal.calculate_chunk_interval | 1048576
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(1 row)
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-- Show the interval length before and after adaptation
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SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
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id | hypertable_id | interval_length
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----+---------------+-----------------
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2 | 2 | 86400000000
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(1 row)
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-- Generate data to create chunks. We use the hash of the time value
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-- to get determinstic location IDs so that we always spread these
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-- values the same way across space partitions
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INSERT INTO test_adaptive
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SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
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generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
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'2017-03-07T18:18:03+00'::timestamptz,
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'2 minutes') as time;
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SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive');
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chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
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----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
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1 | _timescaledb_internal._hyper_2_1_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
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2 | _timescaledb_internal._hyper_2_2_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
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3 | _timescaledb_internal._hyper_2_3_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
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4 | _timescaledb_internal._hyper_2_4_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474063374220800)"}
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5 | _timescaledb_internal._hyper_2_5_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474063374220800,1474193534342144)"}
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6 | _timescaledb_internal._hyper_2_6_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474193534342144,1474323694463488)"}
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7 | _timescaledb_internal._hyper_2_7_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474323694463488,1474357800395528)"}
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8 | _timescaledb_internal._hyper_2_8_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474357800395528,1474510299133674)"}
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9 | _timescaledb_internal._hyper_2_9_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474510299133674,1474745669168184)"}
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10 | _timescaledb_internal._hyper_2_10_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474745669168184,1475721030060491)"}
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11 | _timescaledb_internal._hyper_2_11_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475721030060491,1476166610692312)"}
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12 | _timescaledb_internal._hyper_2_12_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1476166610692312,1477288317843294)"}
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13 | _timescaledb_internal._hyper_2_13_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477288317843294,1478410024994276)"}
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14 | _timescaledb_internal._hyper_2_14_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1478410024994276,1479531732145258)"}
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15 | _timescaledb_internal._hyper_2_15_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479531732145258,1480430190196236)"}
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16 | _timescaledb_internal._hyper_2_16_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1480430190196236,1481747298906375)"}
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17 | _timescaledb_internal._hyper_2_17_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1481747298906375,1483064407616514)"}
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18 | _timescaledb_internal._hyper_2_18_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1483064407616514,1484381516326653)"}
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19 | _timescaledb_internal._hyper_2_19_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484381516326653,1485698625036792)"}
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20 | _timescaledb_internal._hyper_2_20_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1485698625036792,1487015733746931)"}
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21 | _timescaledb_internal._hyper_2_21_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1487015733746931,1488332842457070)"}
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22 | _timescaledb_internal._hyper_2_22_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488332842457070,1489649951167209)"}
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(22 rows)
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-- Do same thing without an index on the time column. This affects
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-- both the calculation of fill-factor of the chunk and its size
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CREATE TABLE test_adaptive_no_index(time timestamptz, temp float, location int);
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-- Size but no explicit func should use default func
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-- No default indexes should warn and use heap scan for min and max
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SELECT create_hypertable('test_adaptive_no_index', 'time',
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chunk_target_size => '1MB',
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create_default_indexes => false);
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WARNING: target chunk size for adaptive chunking is less than 10 MB
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WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_no_index"
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NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
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NOTICE: adding not-null constraint to column "time"
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create_hypertable
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-------------------------------------
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(3,public,test_adaptive_no_index,t)
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(1 row)
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SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
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id | hypertable_id | interval_length
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----+---------------+-----------------
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2 | 2 | 1317108710139
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3 | 3 | 86400000000
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(2 rows)
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INSERT INTO test_adaptive_no_index
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SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
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generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
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'2017-03-07T18:18:03+00'::timestamptz,
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'2 minutes') as time;
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
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WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_37_chunk"
|
||||
SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive_no_index');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
|
||||
----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
|
||||
23 | _timescaledb_internal._hyper_3_23_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
|
||||
24 | _timescaledb_internal._hyper_3_24_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
|
||||
25 | _timescaledb_internal._hyper_3_25_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
|
||||
26 | _timescaledb_internal._hyper_3_26_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474190325310968)"}
|
||||
27 | _timescaledb_internal._hyper_3_27_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474190325310968,1474204821359312)"}
|
||||
28 | _timescaledb_internal._hyper_3_28_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474204821359312,1474471500957966)"}
|
||||
29 | _timescaledb_internal._hyper_3_29_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474471500957966,1474540002599807)"}
|
||||
30 | _timescaledb_internal._hyper_3_30_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474540002599807,1474851810593590)"}
|
||||
31 | _timescaledb_internal._hyper_3_31_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474851810593590,1475929922757320)"}
|
||||
32 | _timescaledb_internal._hyper_3_32_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475929922757320,1477924422652938)"}
|
||||
33 | _timescaledb_internal._hyper_3_33_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477924422652938,1479918922548556)"}
|
||||
34 | _timescaledb_internal._hyper_3_34_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479918922548556,1481824108188800)"}
|
||||
35 | _timescaledb_internal._hyper_3_35_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1481824108188800,1484139458357845)"}
|
||||
36 | _timescaledb_internal._hyper_3_36_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484139458357845,1486454808526890)"}
|
||||
37 | _timescaledb_internal._hyper_3_37_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1486454808526890,1488770158695935)"}
|
||||
38 | _timescaledb_internal._hyper_3_38_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488770158695935,1491085508864980)"}
|
||||
(16 rows)
|
||||
|
||||
-- Test added to check that the correct index (i.e. time index) is being used
|
||||
-- to find the min and max. Previously a bug selected the first index listed,
|
||||
-- which in this case is location rather than time and therefore could return
|
||||
-- the wrong min and max if items at the start and end of the index did not have
|
||||
-- the correct min and max timestamps.
|
||||
--
|
||||
-- In this test, we create chunks with a lot of locations with only one reading
|
||||
-- that is at the beginning of the time frame, and then one location in the middle
|
||||
-- of the range that has two readings, one that is the same as the others and one
|
||||
-- that is larger. The algorithm should use these two readings for min & max; however,
|
||||
-- if it's broken (as it was before), it would choose just the reading that is common
|
||||
-- to all the locations.
|
||||
CREATE TABLE test_adaptive_correct_index(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_correct_index', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
chunk_time_interval => 86400000000,
|
||||
create_default_indexes => false);
|
||||
WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_correct_index"
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------
|
||||
(4,public,test_adaptive_correct_index,t)
|
||||
(1 row)
|
||||
|
||||
CREATE INDEX ON test_adaptive_correct_index(location);
|
||||
CREATE INDEX ON test_adaptive_correct_index(time DESC);
|
||||
-- First chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-01T00:00:00+00'::timestamptz,
|
||||
'2018-01-01T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Second chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-02T00:00:00+00'::timestamptz,
|
||||
'2018-01-02T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Third chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-03T00:00:00+00'::timestamptz,
|
||||
'2018-01-03T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should be the start of the fourth chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-04T00:00:00+00'::timestamptz,
|
||||
'2018-01-04T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- If working correctly, this goes in the 4th chunk, otherwise its a separate 5th chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-05T00:00:00+00'::timestamptz,
|
||||
'2018-01-05T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should show 4 chunks, rather than 5
|
||||
SELECT COUNT(*) FROM chunk_relation_size_pretty('test_adaptive_correct_index');
|
||||
count
|
||||
-------
|
||||
4
|
||||
(1 row)
|
||||
|
||||
-- The interval_length should no longer be 86400000000 for our hypertable, so 3rd column so be true.
|
||||
-- Note: the exact interval_length is non-deterministic, so we can't use its actual value for tests
|
||||
SELECT id, hypertable_id, interval_length > 86400000000 FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | ?column?
|
||||
----+---------------+----------
|
||||
2 | 2 | t
|
||||
3 | 3 | t
|
||||
4 | 4 | t
|
||||
(3 rows)
|
||||
|
||||
-- Drop because it's size and estimated chunk_interval is non-deterministic so
|
||||
-- we don't want to make other tests flaky.
|
||||
DROP TABLE test_adaptive_correct_index;
|
||||
-- Test with space partitioning. This might affect the estimation
|
||||
-- since there are more chunks in the same time interval and space
|
||||
-- chunks might be unevenly filled.
|
||||
CREATE TABLE test_adaptive_space(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_space', 'time', 'location', 2,
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => true);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------------
|
||||
(5,public,test_adaptive_space,t)
|
||||
(1 row)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1317108710139
|
||||
3 | 3 | 2315350169045
|
||||
5 | 5 | 86400000000
|
||||
6 | 5 |
|
||||
(4 rows)
|
||||
|
||||
INSERT INTO test_adaptive_space
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
SELECT * FROM chunk_relation_size('test_adaptive_space');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges | table_bytes | index_bytes | toast_bytes | total_bytes
|
||||
----------+-----------------------------------------+----------------------+--------------------------------------+-------------------------------------------------+-----------------------------------------------------------------------------+-------------+-------------+-------------+-------------
|
||||
43 | _timescaledb_internal._hyper_5_43_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
44 | _timescaledb_internal._hyper_5_44_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
45 | _timescaledb_internal._hyper_5_45_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[-9223372036854775808,1073741823)"} | 49152 | 57344 | | 106496
|
||||
46 | _timescaledb_internal._hyper_5_46_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[1073741823,9223372036854775807)"} | 49152 | 57344 | | 106496
|
||||
47 | _timescaledb_internal._hyper_5_47_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[1073741823,9223372036854775807)"} | 40960 | 49152 | | 90112
|
||||
48 | _timescaledb_internal._hyper_5_48_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[-9223372036854775808,1073741823)"} | 40960 | 32768 | | 73728
|
||||
49 | _timescaledb_internal._hyper_5_49_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
50 | _timescaledb_internal._hyper_5_50_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
51 | _timescaledb_internal._hyper_5_51_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
52 | _timescaledb_internal._hyper_5_52_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
53 | _timescaledb_internal._hyper_5_53_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
54 | _timescaledb_internal._hyper_5_54_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
55 | _timescaledb_internal._hyper_5_55_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[-9223372036854775808,1073741823)"} | 65536 | 106496 | | 172032
|
||||
56 | _timescaledb_internal._hyper_5_56_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[1073741823,9223372036854775807)"} | 65536 | 90112 | | 155648
|
||||
57 | _timescaledb_internal._hyper_5_57_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1474970056929824)","[1073741823,9223372036854775807)"} | 147456 | 196608 | | 344064
|
||||
58 | _timescaledb_internal._hyper_5_58_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1474970056929824)","[-9223372036854775808,1073741823)"} | 147456 | 221184 | | 368640
|
||||
59 | _timescaledb_internal._hyper_5_59_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474970056929824,1475036924131296)","[1073741823,9223372036854775807)"} | 40960 | 32768 | | 73728
|
||||
60 | _timescaledb_internal._hyper_5_60_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474970056929824,1475036924131296)","[-9223372036854775808,1073741823)"} | 40960 | 32768 | | 73728
|
||||
61 | _timescaledb_internal._hyper_5_61_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475036924131296,1476449794748280)","[1073741823,9223372036854775807)"} | 335872 | 532480 | | 868352
|
||||
62 | _timescaledb_internal._hyper_5_62_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475036924131296,1476449794748280)","[-9223372036854775808,1073741823)"} | 327680 | 532480 | | 860160
|
||||
63 | _timescaledb_internal._hyper_5_63_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476449794748280,1476912838462752)","[1073741823,9223372036854775807)"} | 131072 | 180224 | | 311296
|
||||
64 | _timescaledb_internal._hyper_5_64_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476449794748280,1476912838462752)","[-9223372036854775808,1073741823)"} | 131072 | 180224 | | 311296
|
||||
65 | _timescaledb_internal._hyper_5_65_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476912838462752,1478576028596156)","[-9223372036854775808,1073741823)"} | 393216 | 581632 | | 974848
|
||||
66 | _timescaledb_internal._hyper_5_66_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476912838462752,1478576028596156)","[1073741823,9223372036854775807)"} | 393216 | 581632 | | 974848
|
||||
67 | _timescaledb_internal._hyper_5_67_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1478576028596156,1480239218729560)","[1073741823,9223372036854775807)"} | 385024 | 589824 | | 974848
|
||||
68 | _timescaledb_internal._hyper_5_68_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1478576028596156,1480239218729560)","[-9223372036854775808,1073741823)"} | 393216 | 589824 | | 983040
|
||||
69 | _timescaledb_internal._hyper_5_69_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480239218729560,1481902408862964)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
70 | _timescaledb_internal._hyper_5_70_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480239218729560,1481902408862964)","[1073741823,9223372036854775807)"} | 393216 | 606208 | | 999424
|
||||
71 | _timescaledb_internal._hyper_5_71_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1481902408862964,1483565598996368)","[-9223372036854775808,1073741823)"} | 385024 | 589824 | | 974848
|
||||
72 | _timescaledb_internal._hyper_5_72_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1481902408862964,1483565598996368)","[1073741823,9223372036854775807)"} | 393216 | 589824 | | 983040
|
||||
73 | _timescaledb_internal._hyper_5_73_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1483565598996368,1485228789129772)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
74 | _timescaledb_internal._hyper_5_74_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1483565598996368,1485228789129772)","[1073741823,9223372036854775807)"} | 393216 | 589824 | | 983040
|
||||
75 | _timescaledb_internal._hyper_5_75_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485228789129772,1486891979263176)","[-9223372036854775808,1073741823)"} | 393216 | 606208 | | 999424
|
||||
76 | _timescaledb_internal._hyper_5_76_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485228789129772,1486891979263176)","[1073741823,9223372036854775807)"} | 385024 | 598016 | | 983040
|
||||
77 | _timescaledb_internal._hyper_5_77_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1486891979263176,1488555169396580)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
78 | _timescaledb_internal._hyper_5_78_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1486891979263176,1488555169396580)","[1073741823,9223372036854775807)"} | 385024 | 581632 | | 966656
|
||||
79 | _timescaledb_internal._hyper_5_79_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1488555169396580,1490218359529984)","[1073741823,9223372036854775807)"} | 106496 | 163840 | | 270336
|
||||
80 | _timescaledb_internal._hyper_5_80_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1488555169396580,1490218359529984)","[-9223372036854775808,1073741823)"} | 106496 | 155648 | | 262144
|
||||
(38 rows)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1317108710139
|
||||
3 | 3 | 2315350169045
|
||||
6 | 5 |
|
||||
5 | 5 | 1663190133404
|
||||
(4 rows)
|
||||
|
||||
-- A previous version stopped working as soon as hypertable_id stopped being
|
||||
-- equal to dimension_id (i.e., there was a hypertable with more than 1 dimension).
|
||||
-- This test comes after test_adaptive_space, which has 2 dimensions, and makes
|
||||
-- sure that it still works.
|
||||
CREATE TABLE test_adaptive_after_multiple_dims(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_after_multiple_dims', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
create_default_indexes => true);
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------------
|
||||
(6,public,test_adaptive_after_multiple_dims,t)
|
||||
(1 row)
|
||||
|
||||
INSERT INTO test_adaptive_after_multiple_dims VALUES('2018-01-01T00:00:00+00'::timestamptz, 0.0, 5);
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER_2
|
||||
\set ON_ERROR_STOP 0
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
|
||||
ERROR: must be owner of hypertable "test_adaptive"
|
||||
\set ON_ERROR_STOP 1
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER
|
||||
-- Now make sure renaming schema gets propagated to the func_schema
|
||||
DROP TABLE test_adaptive;
|
||||
\c :TEST_DBNAME :ROLE_SUPERUSER
|
||||
CREATE SCHEMA IF NOT EXISTS my_chunk_func_schema;
|
||||
CREATE OR REPLACE FUNCTION my_chunk_func_schema.calculate_chunk_interval(
|
||||
dimension_id INTEGER,
|
||||
dimension_coord BIGINT,
|
||||
chunk_target_size BIGINT
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN 2;
|
||||
END
|
||||
$BODY$;
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'my_chunk_func_schema.calculate_chunk_interval');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(7,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
ALTER SCHEMA my_chunk_func_schema RENAME TO new_chunk_func_schema;
|
||||
INSERT INTO test_adaptive VALUES (now(), 1.0, 1);
|
||||
591
test/expected/chunk_adaptive-12.out
Normal file
591
test/expected/chunk_adaptive-12.out
Normal file
@ -0,0 +1,591 @@
|
||||
-- This file and its contents are licensed under the Apache License 2.0.
|
||||
-- Please see the included NOTICE for copyright information and
|
||||
-- LICENSE-APACHE for a copy of the license.
|
||||
-- Valid chunk sizing function for testing
|
||||
CREATE OR REPLACE FUNCTION calculate_chunk_interval(
|
||||
dimension_id INTEGER,
|
||||
dimension_coord BIGINT,
|
||||
chunk_target_size BIGINT
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN -1;
|
||||
END
|
||||
$BODY$;
|
||||
-- Chunk sizing function with bad signature
|
||||
CREATE OR REPLACE FUNCTION bad_calculate_chunk_interval(
|
||||
dimension_id INTEGER
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN -1;
|
||||
END
|
||||
$BODY$;
|
||||
-- Set a fixed memory cache size to make tests determinstic
|
||||
-- (independent of available machine memory)
|
||||
SELECT * FROM test.set_memory_cache_size('2GB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
2147483648
|
||||
(1 row)
|
||||
|
||||
-- test NULL handling
|
||||
\set ON_ERROR_STOP 0
|
||||
SELECT * FROM set_adaptive_chunking(NULL,NULL);
|
||||
ERROR: invalid hypertable: cannot be NULL
|
||||
\set ON_ERROR_STOP 1
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
\set ON_ERROR_STOP 0
|
||||
-- Bad signature of sizing func should fail
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'bad_calculate_chunk_interval');
|
||||
ERROR: invalid function signature
|
||||
\set ON_ERROR_STOP 1
|
||||
-- Setting sizing func with correct signature should work
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'calculate_chunk_interval');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(1,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
DROP TABLE test_adaptive;
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
-- Size but no explicit func should use default func
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => true);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(2,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Check that adaptive chunking sets a 1 day default chunk time
|
||||
-- interval => 86400000000 microseconds
|
||||
SELECT * FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | column_name | column_type | aligned | num_slices | partitioning_func_schema | partitioning_func | interval_length | integer_now_func_schema | integer_now_func
|
||||
----+---------------+-------------+--------------------------+---------+------------+--------------------------+-------------------+-----------------+-------------------------+------------------
|
||||
2 | 2 | time | timestamp with time zone | t | | | | 86400000000 | |
|
||||
(1 row)
|
||||
|
||||
-- Change the target size
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 2097152
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 2097152
|
||||
(1 row)
|
||||
|
||||
\set ON_ERROR_STOP 0
|
||||
-- Setting NULL func should fail
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB', NULL);
|
||||
ERROR: invalid chunk sizing function
|
||||
\set ON_ERROR_STOP 1
|
||||
-- Setting NULL size disables adaptive chunking
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', NULL);
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Setting size to 'off' should also disable
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'off');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
-- Setting 0 size should also disable
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '0MB');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- No warning about small target size if > 10MB
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '11MB');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 11534336
|
||||
(1 row)
|
||||
|
||||
-- Setting size to 'estimate' should also estimate size
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1932735283
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1932735283
|
||||
(1 row)
|
||||
|
||||
-- Use a lower memory setting to test that the calculated chunk_target_size is reduced
|
||||
SELECT * FROM test.set_memory_cache_size('512MB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
536870912
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 483183820
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 483183820
|
||||
(1 row)
|
||||
|
||||
-- Reset memory settings
|
||||
SELECT * FROM test.set_memory_cache_size('2GB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
2147483648
|
||||
(1 row)
|
||||
|
||||
-- Set a reasonable test value
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Show the interval length before and after adaptation
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 86400000000
|
||||
(1 row)
|
||||
|
||||
-- Generate data to create chunks. We use the hash of the time value
|
||||
-- to get determinstic location IDs so that we always spread these
|
||||
-- values the same way across space partitions
|
||||
INSERT INTO test_adaptive
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
|
||||
----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
|
||||
1 | _timescaledb_internal._hyper_2_1_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
|
||||
2 | _timescaledb_internal._hyper_2_2_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
|
||||
3 | _timescaledb_internal._hyper_2_3_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
|
||||
4 | _timescaledb_internal._hyper_2_4_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474063374220800)"}
|
||||
5 | _timescaledb_internal._hyper_2_5_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474063374220800,1474193534342144)"}
|
||||
6 | _timescaledb_internal._hyper_2_6_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474193534342144,1474323694463488)"}
|
||||
7 | _timescaledb_internal._hyper_2_7_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474323694463488,1474453854584832)"}
|
||||
8 | _timescaledb_internal._hyper_2_8_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474453854584832,1474541114901568)"}
|
||||
9 | _timescaledb_internal._hyper_2_9_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474541114901568,1474693695728855)"}
|
||||
10 | _timescaledb_internal._hyper_2_10_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474693695728855,1475352969024252)"}
|
||||
11 | _timescaledb_internal._hyper_2_11_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475352969024252,1476440384231212)"}
|
||||
12 | _timescaledb_internal._hyper_2_12_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1476440384231212,1477534854493800)"}
|
||||
13 | _timescaledb_internal._hyper_2_13_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477534854493800,1478257436248528)"}
|
||||
14 | _timescaledb_internal._hyper_2_14_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1478257436248528,1479535100411232)"}
|
||||
15 | _timescaledb_internal._hyper_2_15_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479535100411232,1480812764573936)"}
|
||||
16 | _timescaledb_internal._hyper_2_16_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1480812764573936,1482090428736640)"}
|
||||
17 | _timescaledb_internal._hyper_2_17_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1482090428736640,1483368092899344)"}
|
||||
18 | _timescaledb_internal._hyper_2_18_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1483368092899344,1484645757062048)"}
|
||||
19 | _timescaledb_internal._hyper_2_19_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484645757062048,1485923421224752)"}
|
||||
20 | _timescaledb_internal._hyper_2_20_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1485923421224752,1487201085387456)"}
|
||||
21 | _timescaledb_internal._hyper_2_21_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1487201085387456,1488478749550160)"}
|
||||
22 | _timescaledb_internal._hyper_2_22_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488478749550160,1489756413712864)"}
|
||||
(22 rows)
|
||||
|
||||
-- Do same thing without an index on the time column. This affects
|
||||
-- both the calculation of fill-factor of the chunk and its size
|
||||
CREATE TABLE test_adaptive_no_index(time timestamptz, temp float, location int);
|
||||
-- Size but no explicit func should use default func
|
||||
-- No default indexes should warn and use heap scan for min and max
|
||||
SELECT create_hypertable('test_adaptive_no_index', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => false);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_no_index"
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
-------------------------------------
|
||||
(3,public,test_adaptive_no_index,t)
|
||||
(1 row)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1277664162704
|
||||
3 | 3 | 86400000000
|
||||
(2 rows)
|
||||
|
||||
INSERT INTO test_adaptive_no_index
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_37_chunk"
|
||||
SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive_no_index');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
|
||||
----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
|
||||
23 | _timescaledb_internal._hyper_3_23_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
|
||||
24 | _timescaledb_internal._hyper_3_24_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
|
||||
25 | _timescaledb_internal._hyper_3_25_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
|
||||
26 | _timescaledb_internal._hyper_3_26_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474190325310968)"}
|
||||
27 | _timescaledb_internal._hyper_3_27_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474190325310968,1474204821359312)"}
|
||||
28 | _timescaledb_internal._hyper_3_28_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474204821359312,1474471500957966)"}
|
||||
29 | _timescaledb_internal._hyper_3_29_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474471500957966,1474540002599807)"}
|
||||
30 | _timescaledb_internal._hyper_3_30_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474540002599807,1474851810593590)"}
|
||||
31 | _timescaledb_internal._hyper_3_31_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474851810593590,1475929922757320)"}
|
||||
32 | _timescaledb_internal._hyper_3_32_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475929922757320,1477924422652938)"}
|
||||
33 | _timescaledb_internal._hyper_3_33_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477924422652938,1479918922548556)"}
|
||||
34 | _timescaledb_internal._hyper_3_34_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479918922548556,1481824108188800)"}
|
||||
35 | _timescaledb_internal._hyper_3_35_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1481824108188800,1484139458357845)"}
|
||||
36 | _timescaledb_internal._hyper_3_36_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484139458357845,1486454808526890)"}
|
||||
37 | _timescaledb_internal._hyper_3_37_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1486454808526890,1488770158695935)"}
|
||||
38 | _timescaledb_internal._hyper_3_38_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488770158695935,1491085508864980)"}
|
||||
(16 rows)
|
||||
|
||||
-- Test added to check that the correct index (i.e. time index) is being used
|
||||
-- to find the min and max. Previously a bug selected the first index listed,
|
||||
-- which in this case is location rather than time and therefore could return
|
||||
-- the wrong min and max if items at the start and end of the index did not have
|
||||
-- the correct min and max timestamps.
|
||||
--
|
||||
-- In this test, we create chunks with a lot of locations with only one reading
|
||||
-- that is at the beginning of the time frame, and then one location in the middle
|
||||
-- of the range that has two readings, one that is the same as the others and one
|
||||
-- that is larger. The algorithm should use these two readings for min & max; however,
|
||||
-- if it's broken (as it was before), it would choose just the reading that is common
|
||||
-- to all the locations.
|
||||
CREATE TABLE test_adaptive_correct_index(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_correct_index', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
chunk_time_interval => 86400000000,
|
||||
create_default_indexes => false);
|
||||
WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_correct_index"
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------
|
||||
(4,public,test_adaptive_correct_index,t)
|
||||
(1 row)
|
||||
|
||||
CREATE INDEX ON test_adaptive_correct_index(location);
|
||||
CREATE INDEX ON test_adaptive_correct_index(time DESC);
|
||||
-- First chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-01T00:00:00+00'::timestamptz,
|
||||
'2018-01-01T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Second chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-02T00:00:00+00'::timestamptz,
|
||||
'2018-01-02T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Third chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-03T00:00:00+00'::timestamptz,
|
||||
'2018-01-03T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should be the start of the fourth chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-04T00:00:00+00'::timestamptz,
|
||||
'2018-01-04T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- If working correctly, this goes in the 4th chunk, otherwise its a separate 5th chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-05T00:00:00+00'::timestamptz,
|
||||
'2018-01-05T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should show 4 chunks, rather than 5
|
||||
SELECT COUNT(*) FROM chunk_relation_size_pretty('test_adaptive_correct_index');
|
||||
count
|
||||
-------
|
||||
4
|
||||
(1 row)
|
||||
|
||||
-- The interval_length should no longer be 86400000000 for our hypertable, so 3rd column so be true.
|
||||
-- Note: the exact interval_length is non-deterministic, so we can't use its actual value for tests
|
||||
SELECT id, hypertable_id, interval_length > 86400000000 FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | ?column?
|
||||
----+---------------+----------
|
||||
2 | 2 | t
|
||||
3 | 3 | t
|
||||
4 | 4 | t
|
||||
(3 rows)
|
||||
|
||||
-- Drop because it's size and estimated chunk_interval is non-deterministic so
|
||||
-- we don't want to make other tests flaky.
|
||||
DROP TABLE test_adaptive_correct_index;
|
||||
-- Test with space partitioning. This might affect the estimation
|
||||
-- since there are more chunks in the same time interval and space
|
||||
-- chunks might be unevenly filled.
|
||||
CREATE TABLE test_adaptive_space(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_space', 'time', 'location', 2,
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => true);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------------
|
||||
(5,public,test_adaptive_space,t)
|
||||
(1 row)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1277664162704
|
||||
3 | 3 | 2315350169045
|
||||
5 | 5 | 86400000000
|
||||
6 | 5 |
|
||||
(4 rows)
|
||||
|
||||
INSERT INTO test_adaptive_space
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
SELECT * FROM chunk_relation_size('test_adaptive_space');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges | table_bytes | index_bytes | toast_bytes | total_bytes
|
||||
----------+-----------------------------------------+----------------------+--------------------------------------+-------------------------------------------------+-----------------------------------------------------------------------------+-------------+-------------+-------------+-------------
|
||||
43 | _timescaledb_internal._hyper_5_43_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
44 | _timescaledb_internal._hyper_5_44_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
45 | _timescaledb_internal._hyper_5_45_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[-9223372036854775808,1073741823)"} | 49152 | 57344 | | 106496
|
||||
46 | _timescaledb_internal._hyper_5_46_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[1073741823,9223372036854775807)"} | 49152 | 57344 | | 106496
|
||||
47 | _timescaledb_internal._hyper_5_47_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[1073741823,9223372036854775807)"} | 40960 | 49152 | | 90112
|
||||
48 | _timescaledb_internal._hyper_5_48_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[-9223372036854775808,1073741823)"} | 40960 | 32768 | | 73728
|
||||
49 | _timescaledb_internal._hyper_5_49_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
50 | _timescaledb_internal._hyper_5_50_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
51 | _timescaledb_internal._hyper_5_51_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
52 | _timescaledb_internal._hyper_5_52_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
53 | _timescaledb_internal._hyper_5_53_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
54 | _timescaledb_internal._hyper_5_54_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
55 | _timescaledb_internal._hyper_5_55_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[-9223372036854775808,1073741823)"} | 65536 | 106496 | | 172032
|
||||
56 | _timescaledb_internal._hyper_5_56_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[1073741823,9223372036854775807)"} | 65536 | 98304 | | 163840
|
||||
57 | _timescaledb_internal._hyper_5_57_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1475451869071032)","[1073741823,9223372036854775807)"} | 253952 | 360448 | | 614400
|
||||
58 | _timescaledb_internal._hyper_5_58_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1475451869071032)","[-9223372036854775808,1073741823)"} | 253952 | 368640 | | 622592
|
||||
59 | _timescaledb_internal._hyper_5_59_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475451869071032,1476171423738979)","[-9223372036854775808,1073741823)"} | 180224 | 303104 | | 483328
|
||||
60 | _timescaledb_internal._hyper_5_60_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475451869071032,1476171423738979)","[1073741823,9223372036854775807)"} | 188416 | 303104 | | 491520
|
||||
61 | _timescaledb_internal._hyper_5_61_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476171423738979,1477562725740618)","[1073741823,9223372036854775807)"} | 327680 | 540672 | | 868352
|
||||
62 | _timescaledb_internal._hyper_5_62_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476171423738979,1477562725740618)","[-9223372036854775808,1073741823)"} | 327680 | 532480 | | 860160
|
||||
63 | _timescaledb_internal._hyper_5_63_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1477562725740618,1479069529541703)","[-9223372036854775808,1073741823)"} | 360448 | 581632 | | 942080
|
||||
64 | _timescaledb_internal._hyper_5_64_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1477562725740618,1479069529541703)","[1073741823,9223372036854775807)"} | 352256 | 589824 | | 942080
|
||||
65 | _timescaledb_internal._hyper_5_65_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1479069529541703,1480729540237036)","[1073741823,9223372036854775807)"} | 385024 | 598016 | | 983040
|
||||
66 | _timescaledb_internal._hyper_5_66_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1479069529541703,1480729540237036)","[-9223372036854775808,1073741823)"} | 393216 | 614400 | | 1007616
|
||||
67 | _timescaledb_internal._hyper_5_67_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480729540237036,1482389550932369)","[-9223372036854775808,1073741823)"} | 385024 | 598016 | | 983040
|
||||
68 | _timescaledb_internal._hyper_5_68_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480729540237036,1482389550932369)","[1073741823,9223372036854775807)"} | 393216 | 598016 | | 991232
|
||||
69 | _timescaledb_internal._hyper_5_69_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1482389550932369,1484049561627702)","[1073741823,9223372036854775807)"} | 393216 | 622592 | | 1015808
|
||||
70 | _timescaledb_internal._hyper_5_70_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1482389550932369,1484049561627702)","[-9223372036854775808,1073741823)"} | 385024 | 606208 | | 991232
|
||||
71 | _timescaledb_internal._hyper_5_71_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1484049561627702,1485709572323035)","[1073741823,9223372036854775807)"} | 385024 | 614400 | | 999424
|
||||
72 | _timescaledb_internal._hyper_5_72_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1484049561627702,1485709572323035)","[-9223372036854775808,1073741823)"} | 393216 | 622592 | | 1015808
|
||||
73 | _timescaledb_internal._hyper_5_73_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485709572323035,1487369583018368)","[-9223372036854775808,1073741823)"} | 393216 | 614400 | | 1007616
|
||||
74 | _timescaledb_internal._hyper_5_74_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485709572323035,1487369583018368)","[1073741823,9223372036854775807)"} | 385024 | 614400 | | 999424
|
||||
75 | _timescaledb_internal._hyper_5_75_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1487369583018368,1489029593713701)","[1073741823,9223372036854775807)"} | 360448 | 581632 | | 942080
|
||||
76 | _timescaledb_internal._hyper_5_76_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1487369583018368,1489029593713701)","[-9223372036854775808,1073741823)"} | 368640 | 598016 | | 966656
|
||||
(34 rows)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1277664162704
|
||||
3 | 3 | 2315350169045
|
||||
6 | 5 |
|
||||
5 | 5 | 1660010695333
|
||||
(4 rows)
|
||||
|
||||
-- A previous version stopped working as soon as hypertable_id stopped being
|
||||
-- equal to dimension_id (i.e., there was a hypertable with more than 1 dimension).
|
||||
-- This test comes after test_adaptive_space, which has 2 dimensions, and makes
|
||||
-- sure that it still works.
|
||||
CREATE TABLE test_adaptive_after_multiple_dims(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_after_multiple_dims', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
create_default_indexes => true);
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------------
|
||||
(6,public,test_adaptive_after_multiple_dims,t)
|
||||
(1 row)
|
||||
|
||||
INSERT INTO test_adaptive_after_multiple_dims VALUES('2018-01-01T00:00:00+00'::timestamptz, 0.0, 5);
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER_2
|
||||
\set ON_ERROR_STOP 0
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
|
||||
ERROR: must be owner of hypertable "test_adaptive"
|
||||
\set ON_ERROR_STOP 1
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER
|
||||
-- Now make sure renaming schema gets propagated to the func_schema
|
||||
DROP TABLE test_adaptive;
|
||||
\c :TEST_DBNAME :ROLE_SUPERUSER
|
||||
CREATE SCHEMA IF NOT EXISTS my_chunk_func_schema;
|
||||
CREATE OR REPLACE FUNCTION my_chunk_func_schema.calculate_chunk_interval(
|
||||
dimension_id INTEGER,
|
||||
dimension_coord BIGINT,
|
||||
chunk_target_size BIGINT
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN 2;
|
||||
END
|
||||
$BODY$;
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'my_chunk_func_schema.calculate_chunk_interval');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(7,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
ALTER SCHEMA my_chunk_func_schema RENAME TO new_chunk_func_schema;
|
||||
INSERT INTO test_adaptive VALUES (now(), 1.0, 1);
|
||||
595
test/expected/chunk_adaptive-9.6.out
Normal file
595
test/expected/chunk_adaptive-9.6.out
Normal file
@ -0,0 +1,595 @@
|
||||
-- This file and its contents are licensed under the Apache License 2.0.
|
||||
-- Please see the included NOTICE for copyright information and
|
||||
-- LICENSE-APACHE for a copy of the license.
|
||||
-- Valid chunk sizing function for testing
|
||||
CREATE OR REPLACE FUNCTION calculate_chunk_interval(
|
||||
dimension_id INTEGER,
|
||||
dimension_coord BIGINT,
|
||||
chunk_target_size BIGINT
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN -1;
|
||||
END
|
||||
$BODY$;
|
||||
-- Chunk sizing function with bad signature
|
||||
CREATE OR REPLACE FUNCTION bad_calculate_chunk_interval(
|
||||
dimension_id INTEGER
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN -1;
|
||||
END
|
||||
$BODY$;
|
||||
-- Set a fixed memory cache size to make tests determinstic
|
||||
-- (independent of available machine memory)
|
||||
SELECT * FROM test.set_memory_cache_size('2GB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
2147483648
|
||||
(1 row)
|
||||
|
||||
-- test NULL handling
|
||||
\set ON_ERROR_STOP 0
|
||||
SELECT * FROM set_adaptive_chunking(NULL,NULL);
|
||||
ERROR: invalid hypertable: cannot be NULL
|
||||
\set ON_ERROR_STOP 1
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
\set ON_ERROR_STOP 0
|
||||
-- Bad signature of sizing func should fail
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'bad_calculate_chunk_interval');
|
||||
ERROR: invalid function signature
|
||||
\set ON_ERROR_STOP 1
|
||||
-- Setting sizing func with correct signature should work
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'calculate_chunk_interval');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(1,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
DROP TABLE test_adaptive;
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
-- Size but no explicit func should use default func
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => true);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(2,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Check that adaptive chunking sets a 1 day default chunk time
|
||||
-- interval => 86400000000 microseconds
|
||||
SELECT * FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | column_name | column_type | aligned | num_slices | partitioning_func_schema | partitioning_func | interval_length | integer_now_func_schema | integer_now_func
|
||||
----+---------------+-------------+--------------------------+---------+------------+--------------------------+-------------------+-----------------+-------------------------+------------------
|
||||
2 | 2 | time | timestamp with time zone | t | | | | 86400000000 | |
|
||||
(1 row)
|
||||
|
||||
-- Change the target size
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 2097152
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 2097152
|
||||
(1 row)
|
||||
|
||||
\set ON_ERROR_STOP 0
|
||||
-- Setting NULL func should fail
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB', NULL);
|
||||
ERROR: invalid chunk sizing function
|
||||
\set ON_ERROR_STOP 1
|
||||
-- Setting NULL size disables adaptive chunking
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', NULL);
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Setting size to 'off' should also disable
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'off');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
-- Setting 0 size should also disable
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '0MB');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 0
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- No warning about small target size if > 10MB
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '11MB');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 11534336
|
||||
(1 row)
|
||||
|
||||
-- Setting size to 'estimate' should also estimate size
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1932735283
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 1932735283
|
||||
(1 row)
|
||||
|
||||
-- Use a lower memory setting to test that the calculated chunk_target_size is reduced
|
||||
SELECT * FROM test.set_memory_cache_size('512MB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
536870912
|
||||
(1 row)
|
||||
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', 'estimate');
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 483183820
|
||||
(1 row)
|
||||
|
||||
SELECT table_name, chunk_sizing_func_schema, chunk_sizing_func_name, chunk_target_size
|
||||
FROM _timescaledb_catalog.hypertable;
|
||||
table_name | chunk_sizing_func_schema | chunk_sizing_func_name | chunk_target_size
|
||||
---------------+--------------------------+--------------------------+-------------------
|
||||
test_adaptive | _timescaledb_internal | calculate_chunk_interval | 483183820
|
||||
(1 row)
|
||||
|
||||
-- Reset memory settings
|
||||
SELECT * FROM test.set_memory_cache_size('2GB');
|
||||
set_memory_cache_size
|
||||
-----------------------
|
||||
2147483648
|
||||
(1 row)
|
||||
|
||||
-- Set a reasonable test value
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '1MB');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
chunk_sizing_func | chunk_target_size
|
||||
------------------------------------------------+-------------------
|
||||
_timescaledb_internal.calculate_chunk_interval | 1048576
|
||||
(1 row)
|
||||
|
||||
-- Show the interval length before and after adaptation
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 86400000000
|
||||
(1 row)
|
||||
|
||||
-- Generate data to create chunks. We use the hash of the time value
|
||||
-- to get determinstic location IDs so that we always spread these
|
||||
-- values the same way across space partitions
|
||||
INSERT INTO test_adaptive
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
|
||||
----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
|
||||
1 | _timescaledb_internal._hyper_2_1_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
|
||||
2 | _timescaledb_internal._hyper_2_2_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
|
||||
3 | _timescaledb_internal._hyper_2_3_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
|
||||
4 | _timescaledb_internal._hyper_2_4_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474063374220800)"}
|
||||
5 | _timescaledb_internal._hyper_2_5_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474063374220800,1474193534342144)"}
|
||||
6 | _timescaledb_internal._hyper_2_6_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474193534342144,1474323694463488)"}
|
||||
7 | _timescaledb_internal._hyper_2_7_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474323694463488,1474357800395528)"}
|
||||
8 | _timescaledb_internal._hyper_2_8_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474357800395528,1474510299133674)"}
|
||||
9 | _timescaledb_internal._hyper_2_9_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474510299133674,1474745669168184)"}
|
||||
10 | _timescaledb_internal._hyper_2_10_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474745669168184,1475721030060491)"}
|
||||
11 | _timescaledb_internal._hyper_2_11_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475721030060491,1476166610692312)"}
|
||||
12 | _timescaledb_internal._hyper_2_12_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1476166610692312,1477288317843294)"}
|
||||
13 | _timescaledb_internal._hyper_2_13_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477288317843294,1478410024994276)"}
|
||||
14 | _timescaledb_internal._hyper_2_14_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1478410024994276,1479531732145258)"}
|
||||
15 | _timescaledb_internal._hyper_2_15_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479531732145258,1480430190196236)"}
|
||||
16 | _timescaledb_internal._hyper_2_16_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1480430190196236,1481747298906375)"}
|
||||
17 | _timescaledb_internal._hyper_2_17_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1481747298906375,1483064407616514)"}
|
||||
18 | _timescaledb_internal._hyper_2_18_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1483064407616514,1484381516326653)"}
|
||||
19 | _timescaledb_internal._hyper_2_19_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484381516326653,1485698625036792)"}
|
||||
20 | _timescaledb_internal._hyper_2_20_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1485698625036792,1487015733746931)"}
|
||||
21 | _timescaledb_internal._hyper_2_21_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1487015733746931,1488332842457070)"}
|
||||
22 | _timescaledb_internal._hyper_2_22_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488332842457070,1489649951167209)"}
|
||||
(22 rows)
|
||||
|
||||
-- Do same thing without an index on the time column. This affects
|
||||
-- both the calculation of fill-factor of the chunk and its size
|
||||
CREATE TABLE test_adaptive_no_index(time timestamptz, temp float, location int);
|
||||
-- Size but no explicit func should use default func
|
||||
-- No default indexes should warn and use heap scan for min and max
|
||||
SELECT create_hypertable('test_adaptive_no_index', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => false);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_no_index"
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
-------------------------------------
|
||||
(3,public,test_adaptive_no_index,t)
|
||||
(1 row)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1317108710139
|
||||
3 | 3 | 86400000000
|
||||
(2 rows)
|
||||
|
||||
INSERT INTO test_adaptive_no_index
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_23_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_24_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_25_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_26_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_27_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_28_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_29_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_30_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_31_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_32_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_33_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_34_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_35_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_36_chunk"
|
||||
WARNING: no index on "time" found for adaptive chunking on chunk "_hyper_3_37_chunk"
|
||||
SELECT chunk_id, chunk_table, partitioning_columns, partitioning_column_types, partitioning_hash_functions, ranges FROM chunk_relation_size('test_adaptive_no_index');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges
|
||||
----------+-----------------------------------------+----------------------+------------------------------+-----------------------------+-----------------------------------------
|
||||
23 | _timescaledb_internal._hyper_3_23_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473724800000000,1473811200000000)"}
|
||||
24 | _timescaledb_internal._hyper_3_24_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473811200000000,1473897600000000)"}
|
||||
25 | _timescaledb_internal._hyper_3_25_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473897600000000,1473984000000000)"}
|
||||
26 | _timescaledb_internal._hyper_3_26_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1473984000000000,1474190325310968)"}
|
||||
27 | _timescaledb_internal._hyper_3_27_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474190325310968,1474204821359312)"}
|
||||
28 | _timescaledb_internal._hyper_3_28_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474204821359312,1474471500957966)"}
|
||||
29 | _timescaledb_internal._hyper_3_29_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474471500957966,1474540002599807)"}
|
||||
30 | _timescaledb_internal._hyper_3_30_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474540002599807,1474851810593590)"}
|
||||
31 | _timescaledb_internal._hyper_3_31_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1474851810593590,1475929922757320)"}
|
||||
32 | _timescaledb_internal._hyper_3_32_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1475929922757320,1477924422652938)"}
|
||||
33 | _timescaledb_internal._hyper_3_33_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1477924422652938,1479918922548556)"}
|
||||
34 | _timescaledb_internal._hyper_3_34_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1479918922548556,1481824108188800)"}
|
||||
35 | _timescaledb_internal._hyper_3_35_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1481824108188800,1484139458357845)"}
|
||||
36 | _timescaledb_internal._hyper_3_36_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1484139458357845,1486454808526890)"}
|
||||
37 | _timescaledb_internal._hyper_3_37_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1486454808526890,1488770158695935)"}
|
||||
38 | _timescaledb_internal._hyper_3_38_chunk | {time} | {"timestamp with time zone"} | {NULL} | {"[1488770158695935,1491085508864980)"}
|
||||
(16 rows)
|
||||
|
||||
-- Test added to check that the correct index (i.e. time index) is being used
|
||||
-- to find the min and max. Previously a bug selected the first index listed,
|
||||
-- which in this case is location rather than time and therefore could return
|
||||
-- the wrong min and max if items at the start and end of the index did not have
|
||||
-- the correct min and max timestamps.
|
||||
--
|
||||
-- In this test, we create chunks with a lot of locations with only one reading
|
||||
-- that is at the beginning of the time frame, and then one location in the middle
|
||||
-- of the range that has two readings, one that is the same as the others and one
|
||||
-- that is larger. The algorithm should use these two readings for min & max; however,
|
||||
-- if it's broken (as it was before), it would choose just the reading that is common
|
||||
-- to all the locations.
|
||||
CREATE TABLE test_adaptive_correct_index(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_correct_index', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
chunk_time_interval => 86400000000,
|
||||
create_default_indexes => false);
|
||||
WARNING: no index on "time" found for adaptive chunking on hypertable "test_adaptive_correct_index"
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------
|
||||
(4,public,test_adaptive_correct_index,t)
|
||||
(1 row)
|
||||
|
||||
CREATE INDEX ON test_adaptive_correct_index(location);
|
||||
CREATE INDEX ON test_adaptive_correct_index(time DESC);
|
||||
-- First chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-01T00:00:00+00'::timestamptz,
|
||||
'2018-01-01T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-01T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Second chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-02T00:00:00+00'::timestamptz,
|
||||
'2018-01-02T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-02T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- Third chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-03T00:00:00+00'::timestamptz,
|
||||
'2018-01-03T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-03T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should be the start of the fourth chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-04T00:00:00+00'::timestamptz,
|
||||
'2018-01-04T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-04T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- If working correctly, this goes in the 4th chunk, otherwise its a separate 5th chunk
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(1, 1000) as val;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT time, 0.0, '1500' FROM
|
||||
generate_series('2018-01-05T00:00:00+00'::timestamptz,
|
||||
'2018-01-05T20:00:00+00'::timestamptz,
|
||||
'10 hours') as time;
|
||||
INSERT INTO test_adaptive_correct_index
|
||||
SELECT '2018-01-05T00:00:00+00'::timestamptz, val, val + 1 FROM
|
||||
generate_series(2001, 3000) as val;
|
||||
-- This should show 4 chunks, rather than 5
|
||||
SELECT COUNT(*) FROM chunk_relation_size_pretty('test_adaptive_correct_index');
|
||||
count
|
||||
-------
|
||||
4
|
||||
(1 row)
|
||||
|
||||
-- The interval_length should no longer be 86400000000 for our hypertable, so 3rd column so be true.
|
||||
-- Note: the exact interval_length is non-deterministic, so we can't use its actual value for tests
|
||||
SELECT id, hypertable_id, interval_length > 86400000000 FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | ?column?
|
||||
----+---------------+----------
|
||||
2 | 2 | t
|
||||
3 | 3 | t
|
||||
4 | 4 | t
|
||||
(3 rows)
|
||||
|
||||
-- Drop because it's size and estimated chunk_interval is non-deterministic so
|
||||
-- we don't want to make other tests flaky.
|
||||
DROP TABLE test_adaptive_correct_index;
|
||||
-- Test with space partitioning. This might affect the estimation
|
||||
-- since there are more chunks in the same time interval and space
|
||||
-- chunks might be unevenly filled.
|
||||
CREATE TABLE test_adaptive_space(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_space', 'time', 'location', 2,
|
||||
chunk_target_size => '1MB',
|
||||
create_default_indexes => true);
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------------
|
||||
(5,public,test_adaptive_space,t)
|
||||
(1 row)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1317108710139
|
||||
3 | 3 | 2315350169045
|
||||
5 | 5 | 86400000000
|
||||
6 | 5 |
|
||||
(4 rows)
|
||||
|
||||
INSERT INTO test_adaptive_space
|
||||
SELECT time, random() * 35, _timescaledb_internal.get_partition_hash(time) FROM
|
||||
generate_series('2017-03-07T18:18:03+00'::timestamptz - interval '175 days',
|
||||
'2017-03-07T18:18:03+00'::timestamptz,
|
||||
'2 minutes') as time;
|
||||
SELECT * FROM chunk_relation_size('test_adaptive_space');
|
||||
chunk_id | chunk_table | partitioning_columns | partitioning_column_types | partitioning_hash_functions | ranges | table_bytes | index_bytes | toast_bytes | total_bytes
|
||||
----------+-----------------------------------------+----------------------+--------------------------------------+-------------------------------------------------+-----------------------------------------------------------------------------+-------------+-------------+-------------+-------------
|
||||
43 | _timescaledb_internal._hyper_5_43_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
44 | _timescaledb_internal._hyper_5_44_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473724800000000,1473811200000000)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
45 | _timescaledb_internal._hyper_5_45_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[-9223372036854775808,1073741823)"} | 49152 | 57344 | | 106496
|
||||
46 | _timescaledb_internal._hyper_5_46_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473811200000000,1473897600000000)","[1073741823,9223372036854775807)"} | 49152 | 57344 | | 106496
|
||||
47 | _timescaledb_internal._hyper_5_47_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[1073741823,9223372036854775807)"} | 40960 | 49152 | | 90112
|
||||
48 | _timescaledb_internal._hyper_5_48_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473897600000000,1473965271473760)","[-9223372036854775808,1073741823)"} | 40960 | 32768 | | 73728
|
||||
49 | _timescaledb_internal._hyper_5_49_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
50 | _timescaledb_internal._hyper_5_50_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1473965271473760,1474105249182352)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
51 | _timescaledb_internal._hyper_5_51_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[1073741823,9223372036854775807)"} | 57344 | 81920 | | 139264
|
||||
52 | _timescaledb_internal._hyper_5_52_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474105249182352,1474245226890944)","[-9223372036854775808,1073741823)"} | 57344 | 81920 | | 139264
|
||||
53 | _timescaledb_internal._hyper_5_53_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[1073741823,9223372036854775807)"} | 8192 | 32768 | | 40960
|
||||
54 | _timescaledb_internal._hyper_5_54_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474245226890944,1474256155676760)","[-9223372036854775808,1073741823)"} | 8192 | 32768 | | 40960
|
||||
55 | _timescaledb_internal._hyper_5_55_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[-9223372036854775808,1073741823)"} | 65536 | 106496 | | 172032
|
||||
56 | _timescaledb_internal._hyper_5_56_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474256155676760,1474422400168830)","[1073741823,9223372036854775807)"} | 65536 | 90112 | | 155648
|
||||
57 | _timescaledb_internal._hyper_5_57_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1474970056929824)","[1073741823,9223372036854775807)"} | 147456 | 196608 | | 344064
|
||||
58 | _timescaledb_internal._hyper_5_58_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474422400168830,1474970056929824)","[-9223372036854775808,1073741823)"} | 147456 | 221184 | | 368640
|
||||
59 | _timescaledb_internal._hyper_5_59_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474970056929824,1475036924131296)","[1073741823,9223372036854775807)"} | 40960 | 32768 | | 73728
|
||||
60 | _timescaledb_internal._hyper_5_60_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1474970056929824,1475036924131296)","[-9223372036854775808,1073741823)"} | 40960 | 32768 | | 73728
|
||||
61 | _timescaledb_internal._hyper_5_61_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475036924131296,1476449794748280)","[1073741823,9223372036854775807)"} | 335872 | 532480 | | 868352
|
||||
62 | _timescaledb_internal._hyper_5_62_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1475036924131296,1476449794748280)","[-9223372036854775808,1073741823)"} | 327680 | 532480 | | 860160
|
||||
63 | _timescaledb_internal._hyper_5_63_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476449794748280,1476912838462752)","[1073741823,9223372036854775807)"} | 131072 | 180224 | | 311296
|
||||
64 | _timescaledb_internal._hyper_5_64_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476449794748280,1476912838462752)","[-9223372036854775808,1073741823)"} | 131072 | 180224 | | 311296
|
||||
65 | _timescaledb_internal._hyper_5_65_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476912838462752,1478576028596156)","[-9223372036854775808,1073741823)"} | 393216 | 581632 | | 974848
|
||||
66 | _timescaledb_internal._hyper_5_66_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1476912838462752,1478576028596156)","[1073741823,9223372036854775807)"} | 393216 | 581632 | | 974848
|
||||
67 | _timescaledb_internal._hyper_5_67_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1478576028596156,1480239218729560)","[1073741823,9223372036854775807)"} | 385024 | 589824 | | 974848
|
||||
68 | _timescaledb_internal._hyper_5_68_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1478576028596156,1480239218729560)","[-9223372036854775808,1073741823)"} | 393216 | 589824 | | 983040
|
||||
69 | _timescaledb_internal._hyper_5_69_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480239218729560,1481902408862964)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
70 | _timescaledb_internal._hyper_5_70_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1480239218729560,1481902408862964)","[1073741823,9223372036854775807)"} | 393216 | 606208 | | 999424
|
||||
71 | _timescaledb_internal._hyper_5_71_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1481902408862964,1483565598996368)","[-9223372036854775808,1073741823)"} | 385024 | 589824 | | 974848
|
||||
72 | _timescaledb_internal._hyper_5_72_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1481902408862964,1483565598996368)","[1073741823,9223372036854775807)"} | 393216 | 589824 | | 983040
|
||||
73 | _timescaledb_internal._hyper_5_73_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1483565598996368,1485228789129772)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
74 | _timescaledb_internal._hyper_5_74_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1483565598996368,1485228789129772)","[1073741823,9223372036854775807)"} | 393216 | 589824 | | 983040
|
||||
75 | _timescaledb_internal._hyper_5_75_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485228789129772,1486891979263176)","[-9223372036854775808,1073741823)"} | 393216 | 606208 | | 999424
|
||||
76 | _timescaledb_internal._hyper_5_76_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1485228789129772,1486891979263176)","[1073741823,9223372036854775807)"} | 385024 | 598016 | | 983040
|
||||
77 | _timescaledb_internal._hyper_5_77_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1486891979263176,1488555169396580)","[-9223372036854775808,1073741823)"} | 393216 | 598016 | | 991232
|
||||
78 | _timescaledb_internal._hyper_5_78_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1486891979263176,1488555169396580)","[1073741823,9223372036854775807)"} | 385024 | 581632 | | 966656
|
||||
79 | _timescaledb_internal._hyper_5_79_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1488555169396580,1490218359529984)","[1073741823,9223372036854775807)"} | 106496 | 163840 | | 270336
|
||||
80 | _timescaledb_internal._hyper_5_80_chunk | {time,location} | {"timestamp with time zone",integer} | {NULL,_timescaledb_internal.get_partition_hash} | {"[1488555169396580,1490218359529984)","[-9223372036854775808,1073741823)"} | 106496 | 155648 | | 262144
|
||||
(38 rows)
|
||||
|
||||
SELECT id, hypertable_id, interval_length FROM _timescaledb_catalog.dimension;
|
||||
id | hypertable_id | interval_length
|
||||
----+---------------+-----------------
|
||||
2 | 2 | 1317108710139
|
||||
3 | 3 | 2315350169045
|
||||
6 | 5 |
|
||||
5 | 5 | 1663190133404
|
||||
(4 rows)
|
||||
|
||||
-- A previous version stopped working as soon as hypertable_id stopped being
|
||||
-- equal to dimension_id (i.e., there was a hypertable with more than 1 dimension).
|
||||
-- This test comes after test_adaptive_space, which has 2 dimensions, and makes
|
||||
-- sure that it still works.
|
||||
CREATE TABLE test_adaptive_after_multiple_dims(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive_after_multiple_dims', 'time',
|
||||
chunk_target_size => '100MB',
|
||||
create_default_indexes => true);
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
------------------------------------------------
|
||||
(6,public,test_adaptive_after_multiple_dims,t)
|
||||
(1 row)
|
||||
|
||||
INSERT INTO test_adaptive_after_multiple_dims VALUES('2018-01-01T00:00:00+00'::timestamptz, 0.0, 5);
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER_2
|
||||
\set ON_ERROR_STOP 0
|
||||
SELECT * FROM set_adaptive_chunking('test_adaptive', '2MB');
|
||||
ERROR: must be owner of hypertable "test_adaptive"
|
||||
\set ON_ERROR_STOP 1
|
||||
\c :TEST_DBNAME :ROLE_DEFAULT_PERM_USER
|
||||
-- Now make sure renaming schema gets propagated to the func_schema
|
||||
DROP TABLE test_adaptive;
|
||||
\c :TEST_DBNAME :ROLE_SUPERUSER
|
||||
CREATE SCHEMA IF NOT EXISTS my_chunk_func_schema;
|
||||
CREATE OR REPLACE FUNCTION my_chunk_func_schema.calculate_chunk_interval(
|
||||
dimension_id INTEGER,
|
||||
dimension_coord BIGINT,
|
||||
chunk_target_size BIGINT
|
||||
)
|
||||
RETURNS BIGINT LANGUAGE PLPGSQL AS
|
||||
$BODY$
|
||||
DECLARE
|
||||
BEGIN
|
||||
RETURN 2;
|
||||
END
|
||||
$BODY$;
|
||||
CREATE TABLE test_adaptive(time timestamptz, temp float, location int);
|
||||
SELECT create_hypertable('test_adaptive', 'time',
|
||||
chunk_target_size => '1MB',
|
||||
chunk_sizing_func => 'my_chunk_func_schema.calculate_chunk_interval');
|
||||
WARNING: target chunk size for adaptive chunking is less than 10 MB
|
||||
NOTICE: adaptive chunking is a BETA feature and is not recommended for production deployments
|
||||
NOTICE: adding not-null constraint to column "time"
|
||||
create_hypertable
|
||||
----------------------------
|
||||
(7,public,test_adaptive,t)
|
||||
(1 row)
|
||||
|
||||
ALTER SCHEMA my_chunk_func_schema RENAME TO new_chunk_func_schema;
|
||||
INSERT INTO test_adaptive VALUES (now(), 1.0, 1);
|
||||
@ -1,6 +1,5 @@
|
||||
set(TEST_FILES
|
||||
alter.sql
|
||||
chunk_adaptive.sql
|
||||
chunk_utils.sql
|
||||
chunks.sql
|
||||
cluster.sql
|
||||
@ -133,6 +132,7 @@ set(TEST_TEMPLATES
|
||||
ddl.sql.in
|
||||
ddl_single.sql.in
|
||||
insert.sql.in
|
||||
chunk_adaptive.sql.in
|
||||
insert_many.sql.in
|
||||
parallel.sql.in
|
||||
partition.sql.in
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user