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38878bee16
INSERT into compressed hypertable with number of open chunks greater than ts_guc_max_open_chunks_per_insert causes segementation fault. New row which needs to be inserted into compressed chunk has to be compressed. Memory required as part of compressing a row is allocated from RowCompressor::per_row_ctx memory context. Once row is compressed, ExecInsert() is called, where memory from same context is used to allocate and free it instead of using "Executor State". This causes a corruption in memory. Fixes: #4778
56 lines
2.3 KiB
SQL
56 lines
2.3 KiB
SQL
-- This file and its contents are licensed under the Timescale License.
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-- Please see the included NOTICE for copyright information and
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-- LICENSE-TIMESCALE for a copy of the license.
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-- test constraint exclusion with prepared statements and generic plans
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CREATE TABLE i3719 (time timestamptz NOT NULL,data text);
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SELECT table_name FROM create_hypertable('i3719', 'time');
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ALTER TABLE i3719 SET (timescaledb.compress);
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INSERT INTO i3719 VALUES('2021-01-01 00:00:00', 'chunk 1');
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SELECT count(compress_chunk(c)) FROM show_chunks('i3719') c;
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INSERT INTO i3719 VALUES('2021-02-22 08:00:00', 'chunk 2');
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SET plan_cache_mode TO force_generic_plan;
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PREPARE p1(timestamptz) AS UPDATE i3719 SET data = 'x' WHERE time=$1;
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PREPARE p2(timestamptz) AS DELETE FROM i3719 WHERE time=$1;
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EXECUTE p1('2021-02-22T08:00:00+00');
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EXECUTE p2('2021-02-22T08:00:00+00');
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DEALLOCATE p1;
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DEALLOCATE p2;
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DROP TABLE i3719;
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-- github issue 4778
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CREATE TABLE metric_5m (
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time TIMESTAMPTZ NOT NULL,
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value DOUBLE PRECISION NOT NULL,
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series_id BIGINT NOT NULL
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);
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SELECT table_name FROM create_hypertable(
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'metric_5m'::regclass,
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'time'::name, chunk_time_interval=>interval '5m',
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create_default_indexes=> false);
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-- enable compression
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ALTER TABLE metric_5m SET (
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timescaledb.compress,
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timescaledb.compress_segmentby = 'series_id',
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timescaledb.compress_orderby = 'time, value'
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);
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SET work_mem TO '64kB';
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SELECT '2022-10-10 14:33:44.1234+05:30' as start_date \gset
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-- populate hypertable
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INSERT INTO metric_5m (time, series_id, value)
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SELECT t, s,1 from generate_series(:'start_date'::timestamptz, :'start_date'::timestamptz + interval '1 day', '10s') t cross join generate_series(1,10, 1) s;
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-- manually compress all chunks
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SELECT count(compress_chunk(c.schema_name|| '.' || c.table_name))
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FROM _timescaledb_catalog.chunk c, _timescaledb_catalog.hypertable ht where
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c.hypertable_id = ht.id and ht.table_name = 'metric_5m' and c.compressed_chunk_id IS NULL;
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-- populate into compressed hypertable, this should not crash
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INSERT INTO metric_5m (time, series_id, value)
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SELECT t, s,1 from generate_series(:'start_date'::timestamptz, :'start_date'::timestamptz + interval '1 day', '10s') t cross join generate_series(1,10, 1) s;
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-- clean up
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RESET work_mem;
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DROP TABLE metric_5m; |