Releases: hydradatabase/hydra
v1.1.2
- turn off column cache when building an index, vacuum, and analyze (#250)
- fix memory leak when executing vectorized quals (#242)
- do not release the chunk group state if there is data (#245)
- fix case sensitivity bug in columnar.alter_table_set_access_method (#237)
- fix a crash when chunk_group_row_limit is larger than 110000 (#235)
- add extensions: wrappers, pgsodium, and supabase_vault (PG >=14) (#236)
Thanks to @japinli for multiple bug fixes in this release!
v1.1.1
- fix uncapped memory growth when importing data via logical replication (#226)
- fix handling of large data columns (e.g. text or json) causing overflow of 1GB
chunk size (#220) - restrict the maximum singular datum size to 256MB to ensure that the maximum
datum size of 1GB is not exceeded in columnar metadata (#222) - do not insert vectorization node into the plan if columnar scan isn't being used
(#228)
The corresponding docker images are:
- PG 16:
docker pull ghcr.io/hydradatabase/hydra:16-dd0ef07209dd23b9fca213a152ee3ee13249bb34
- PG 15:
docker pull ghcr.io/hydradatabase/hydra:15-dd0ef07209dd23b9fca213a152ee3ee13249bb34
- PG 14:
docker pull ghcr.io/hydradatabase/hydra:14-dd0ef07209dd23b9fca213a152ee3ee13249bb34
- PG 13:
docker pull ghcr.io/hydradatabase/hydra:13-dd0ef07209dd23b9fca213a152ee3ee13249bb34
v1.1.0
- added support for upserts and other
ON CONFLICT
clauses forINSERT
queries (#174) - added a custom index-backed scan (#205). This scan is disabled by default as it
may adversely affect performance. To enable this scan, use:
SET columnar.enable_columnar_index_scan = true;
- added Postgres 16 support (#200)
- parquet_s3_fdw and multicorn-based FDWs are not yet supported in PG 16. These
extensions are included only on PG 13-15 builds.
- parquet_s3_fdw and multicorn-based FDWs are not yet supported in PG 16. These
- update pg_ivm to 1.7.0 (#200)
- update pgsql-http to 1.6.0 (#200)
The corresponding docker images are:
- PG 16:
docker pull ghcr.io/hydradatabase/hydra:16-e8107709cc62316da9b2cb8fe0d3cb22ba6e470f
- PG 15:
docker pull ghcr.io/hydradatabase/hydra:15-e8107709cc62316da9b2cb8fe0d3cb22ba6e470f
- PG 14:
docker pull ghcr.io/hydradatabase/hydra:14-e8107709cc62316da9b2cb8fe0d3cb22ba6e470f
- PG 13:
docker pull ghcr.io/hydradatabase/hydra:13-e8107709cc62316da9b2cb8fe0d3cb22ba6e470f
v1.0.2
This version of Hydra Columnar requires ALTER EXTENSION columnar UPDATE
after installation.
- fix incorrect results when using an aggregate
FILTER
by not vectorizing these aggregates (#181) - fix possible bypass of table constraints by forcing constraints to be checked during multi-insert (#182)
- fix possible table corruption when running
columnar.vacuum
(#190) - support chunk filtering for types that have a family comparator, namely
varchar
(#184) - allow higher values (up to 10M) for
chunk_group_row_limit
andstripe_row_limit
(#186) - fix txid wraparound (#190)
The corresponding Docker tags are:
v1.0.1
- updated pgvector to 0.5.1, allowing use of HNSW indexes.
Users of pgvector should runALTER EXTENSION vector UPDATE
in any
database where the extension is installed. (#171) - stop resetting to default columnar on Hydra Cloud (spilo). This will allow
the user to change the default. (#173) - improve handling of stripe assignment to workers to reduce spinlock
contention, which can cause a crash (#170) - change default
qual_pushdown_correlation_threshold
from 0.9 to 0.4. This
addresses a performance regression we observed in some clickbench queries.
(#159)
The corresponding Docker tags are:
v1.0.0
Today we are pleased to announce Hydra 1.0 is GA. 🎉 You can learn more about the release and everything included in 1.0.0 on our web site.
There are no changes since v1.0.0-rc2.
The corresponding docker images are:
v1.0.0-rc2
This is a bugfix release for a bug we found in RC1:
- bugfix: disable custom vectorization on non-column arguments (#147)
v1.0.0-rc
In addition to bug fixes, this release includes significant vectorization optimization for aggregates (eg.g COUNT and SUM), enabled new index types, and added pg_hint_plan
.
- vectorization of direct aggregates (#143)
- fix an inefficiency with vacuum if there is only one stripe (#143)
- enable
O3
compilation optimizations (#143) - disable parallelism for
CREATE TABLE ... AS
queries (#138) - allow gin, gist, spgist, and rum indexes on columnar tables (#133)
- add pg_hint_plan extension (#134)
- extensions are now installed during the build process using pgxman (#137)
- bugfix:
columnar.alter_table_set_access_method
should correctly disallow conversion of heap tables that have foreign keys (#136) - bugfix: crash when using
explain
when cache is enabled (#125) - bugfix: cache could evict a chunk currently in use (#142)
The corresponding Docker tags are:
v1.0.0-beta
Columnar-optimized vacuuming allows columnar tables to be compacted after updates and deletes without full rewrite, which will also improve peformance after vacuum. Auto-vacuum support combines recent inserts into a single stripe. A new column cache makes JOIN queries more efficient. Vector similarity search and data types are now available via pgvector.
- default table access method is now columnar (#107)
- add pgvector extension (#106)
- add vacuum_full UDF (#93)
- bugfix: vacuum udf could get into a look and overwrite stripes (#92)
- add columnar decompressed chunk cache (#86)
- bugfix: vacuum hanging indefinitely in some cases (#80)
- bugfix: release memory during long sequential scans (#78)
- add user function to allow for incremental vacuum and space reclamation (#71)
- add support for postgres 15 (#75)
- add columnar vacuum to combine latest stripe into 1 stripe (#51, #74)
The corresponding docker tags for this release are:
- Postgres 13: 13-c108761ca80fffb97f477d8c5aa36a000b2c3fe9
- Postgres 14: 14-c108761ca80fffb97f477d8c5aa36a000b2c3fe9
- Postgres 15: 15-c108761ca80fffb97f477d8c5aa36a000b2c3fe9