Release 2.27.0 - #9719
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Looks good overall but agree with Alex that if the "The bloom filter sparse indexes on compressed int2 columns " issue affects a number of customers we should make it more visible before the full list.
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Last force push is just me fixing the email mismatch I had in the gpg key :) now everything should be verified and dandy |
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2.27.0 (2026-05-12)
This release contains performance improvements and bug fixes since the 2.26.4 release. We recommend that you upgrade at the next available opportunity.
Highlighted features in TimescaleDB v2.27.0
UPDATEandDELETEstatements with equality predicates can now use bloom filters to skip decompressing batches whose compressed rows can't match. When multiple bloom filters apply, they are evaluated in decreasing order of column count (most selective first), and EXPLAIN now reports filtering activity via the new "Compressed batches filtered" and "Batches filtered after decompression counters". The query performance increases in some case up to 160 times.UPSERTqueries can now leverage bloom filters (including composite ones) to skip decompressing batches when the arbiter values are guaranteed not to be present, with the most-selective filter chosen automatically when multiple apply. EXPLAIN output adds new statistics — batches checked by bloom, batches pruned by bloom, batches without bloom, and bloom false positives — for visibility into pruning effectiveness.Upcoming PostgreSQL 15 EOL announcement
As a reminder, the upcoming TimescaleDB release in June 2026 will officially be the last version with support for PostgreSQL 15. This deprecation was initially announced in the v2.23.0 changelog on October 29, 2025, to provide users ample time to prepare. To ensure uninterrupted access to new features, bugfixes and performance enhancements, all instances must be upgraded to PostgreSQL 16 or greater.
Backward-Incompatible Changes
int2columns could lead toSELECTqueries not returning the rows that actually match theWHEREcondition. The upgrade is blocked for the affected databases, and the incorrect indexes have to be dropped manually before the upgrade.Features
PG_MODULE_MAGIC_EXTforPG18OR/ANDclause.segmentbydefault for direct compressUPSERTs.segmentbyduring direct compressIN/ANYon open (time) dimensionsUPDATE/DELETEcommands.segmentbyduring direct compress flushWHEREclause contains filters not handled through the "Vectorized Filters" facility. This includes e.g. filters ontime_bucket()._timescaledb_functions.repair_relation_aclsALTER TABLE RESETon materialization hypertablesorderbycolumns do segmentwise decompress-compress instead of segmentwise recompress.ENABLE/DISABLE TRIGGERon hypertablessegmentbyor when allsegmentbycolumns are pinned to aConstBugfixes
NULLcompression handling inestimate_uncompressed_sizebloom1_containstime-bucketonDateorderbycolumnschunk_intervalFOREIGN KEYconstraints from catalogprocess_hypertable_invalidationspolicy codepost_parse_analyze_hookcapture in loadercache_destroyduring transaction abortNULLdatumCopycrash insegmentbyanalysisMERGE NOT MATCHED INSERTinto a hypertableTOASTdelete whenDELETE-after-compressionis enabledbigintinestimate_uncompressed_sizecalculationsbool/uuiddecompressionbigintfromcompressed_data_column_sizepathkeyhandling for compressed sub-paths during sort transformationts_cagg_invalidation_triggerts_stat_statementsrecordingNew Settings
enable_cagg_rewrites: enables rewriting queries with CAggs. Off by default.cagg_rewrites_debug_info: prints CAgg rewrites diagnostics. Off by default.enable_columnar_scan_filter_pushdown: enables pushing the filters on columnar scan down to the compressed scan level. On by default.Thanks
PG_MODULE_MAGIC_EXT