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@renovate renovate bot commented May 15, 2025

This PR contains the following updates:

Package Update Change
timescale/timescaledb minor 2.19.32.24.0

Release Notes

timescale/timescaledb (timescale/timescaledb)

v2.24.0

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This release contains performance improvements and bug fixes since the 2.23.1 release. We recommend that you upgrade at the next available opportunity.

Highlighted features in TimescaleDB v2.24.0

  • Direct Compress just got smarter and faster: it now works seamlessly with hypertables generating continuous aggregates. Invalidation ranges are computed directly in-memory based on the ingested batches and written efficiently at transaction commit. This change reduces the IO footprint drastically by removing the write amplification of the invalidation logs.
  • Continuous aggregates now speak UUIDv7: hypertables partitioned by UUIDv7 are fully supported through an enhanced time_bucket that accepts UUIDv7 values and returns precise, timezone-aware timestamps — unlocking powerful time-series analytics on modern UUID-driven table schemas.
  • Lightning-fast recompression: the new recompress := true option on the convert_to_columnstore API enables pure in-memory recompression, delivering a 4–5× speed boost over the previous disk-based process.

ARM support for bloom filters
The sparse bloom filter indexes will stop working after upgrade to 2.24. If you are affected by this problem, the warning "bloom filter sparse indexes require action to re-enable" will appear in the Postgres log during upgrade.

In versions before 2.24, the hashing scheme of the bloom filter sparse indexes used to depend on the build options of the TimescaleDB executables. These options are set by the package publishers and might differ between different package sources or even versions. After upgrading to a version with different options, the queries that use the bloom filter lookups could erroneously stop returning the rows that should in fact match the query conditions. The 2.24 release fixes this by using distinct column names for each hashing scheme.

The bloom filter sparse indexes will be disabled on the compressed chunks created before upgrading to 2.24. To re-enable them, you have to decompress and then compress the affected chunks.

If you were running the official APT package on AMD64 architecture, the hashing scheme did not change, and it is safe to use the existing bloom filter sparse indexes. To enable this, set the GUC timescaledb.read_legacy_bloom1_v1 = on in the server configuration.

The chunks compressed after upgrade to 2.24 will use the new index format, and the bloom filter sparse indexes will continue working as usual for these chunks without any intervention.

For more details, refer to the pull request #​8761.

Deprecations

Backward-Incompatible Changes

  • #​8761 Fix matching rows in queries using the bloom filter sparse indexes potentially not returned after extension upgrade. The version of the bloom filter sparse indexes is changed. The existing indexes will stop working and will require action to re-enable. See the section above for details.

Features

  • #​8465 Speed up the filters like x = any(array[...]) using bloom filter sparse indexes.
  • #​8569 In-memory recompression
  • #​8754 Add concurrent mode for merging chunks
  • #​8786 Display chunks view range as timestamps for UUIDv7
  • #​8819 Refactor chunk compression logic
  • #​8840 Allow ALTER COLUMN TYPE when compression is enabled but no compressed chunks exist
  • #​8908 Add time bucketing support for UUIDv7
  • #​8909 Support direct compress on hypertables with continuous aggregates
  • #​8939 Support continuous aggregates on UUIDv7-partitioned hypertables
  • #​8959 Cap continuous aggregate invalidation interval range at chunk boundary
  • #​8975 Exclude date/time columns from default segmentby
  • #​8993 Add GUC for in-memory recompression

Bugfixes

  • #​8839 Improve _timescaledb_functions.cagg_watermark error handling
  • #​8853 Change log level of continuous aggregate refresh messages to DEBUG1
  • #​8933 Potential crash or seemingly random errors when querying the compressed chunks created on releases before 2.15 and using the minmax sparse indexes.
  • #​8942 Fix lateral join handling for compressed chunks
  • #​8958 Fix if_not_exists behaviour when adding refresh policy
  • #​8969 Gracefully handle missing job stat in background worker
  • #​8988 Don't ignore additional filters on same column when building scankeys

GUCs

  • direct_compress_copy_tuple_sort_limit: Number of tuples that can be sorted at once in a COPY operation.
  • direct_compress_insert_tuple_sort_limit: Number of tuples that can be sorted at once in an INSERT operation.
  • read_legacy_bloom1_v1: Enable reading the legacy bloom1 version 1 sparse indexes for SELECT queries.
  • enable_in_memory_recompression: Enable in-memory recompression functionality.

Thanks

  • @​bezpechno for implementing ALTER COLUMN TYPE for hypertable with columnstore when no compressed chunks exist

v2.23.1

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This release contains performance improvements and bug fixes since the 2.23.0 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8873 Don't error on failure to update job stats
  • #​8875 Fix decoding of UUID v7 timestamp microseconds
  • #​8879 Fix blocker for multiple hierarchical continuous aggregate policies
  • #​8882 Fix crash in policy creation

Thanks

v2.23.0

Compare Source

This release contains performance improvements and bug fixes since the 2.22.1 release. We recommend that you upgrade at the next available opportunity.

Highlighted features in TimescaleDB v2.23.0

  • This release introduces full PostgreSQL 18 support for all existing features. TimescaleDB v2.23 is available for PostgreSQL 15, 16, 17, and 18.
  • UUIDv7 compression is now enabled by default on the columnstore. This feature was shipped in v2.22.0. It saves you at least 30% of storage and delivers ~2× faster query performance with UUIDv7 columns in the filter conditions.
  • Added the ability to set hypertables to unlogged, addressing an open community request #​836. This allows the tradeoff between durability and performance, with the latter being favourable for larger imports.
  • By allowing set-returning functions in continuous aggregates, this releases addresses a long standing blocker, raised by the community #​1717.

PostgreSQL 15 deprecation announcement

We will continue supporting PostgreSQL 15 until June 2026. Closer to that time, we will announce the specific TimescaleDB version in which PostgreSQL 15 support will not be included going forward.

Features

  • #​8373 More precise estimates of row numbers for columnar storage based on Postgres statistics.
  • #​8581 Allow mixing Postgres and TimescaleDB options in ALTER TABLE SET.
  • #​8582 Make partition_column in CREATE TABLE WITH optional.
  • #​8588 Automatically create a columnstore policy when a hypertable with columnstore enabled is created via CREATE TABLE WITH statement.
  • #​8606 Add job history config parameters for maximum successes and failures to keep for each job.
  • #​8632 Remove ChunkDispatch custom node.
  • #​8637 Add INSERT support for direct compress.
  • #​8661 Allow ALTER TABLE ONLY to change reloptions to apply setting changes only to future chunks.
  • #​8703 Allow set-returning functions in continuous aggregates.
  • #​8734 Support direct compress when inserting into a chunk.
  • #​8741 Add support for unlogged hypertables.
  • #​8769 Remove continuous aggregate invalidation trigger.
  • #​8798 Enable UUIDv7 compression by default.
  • #​8804 Remove insert_blocker trigger.

Bugfixes

  • #​8561 Show warning when direct compress is skipped due to triggers or unique constraints.
  • #​8567 Do not require a job to have executed to show status.
  • #​8654 Fix approximate_row_count for compressed chunks.
  • #​8704 Fix direct DELETE on compressed chunk.
  • #​8728 Don't block dropping hypertables with other objects.
  • #​8735 Fix ColumnarScan for UNION queries.
  • #​8739 Fix cached utility statements.
  • #​8742 Potential internal program error when grouping by bool columns of a compressed hypertable.
  • #​8743 Modify schedule interval for job history pruning.
  • #​8746 Support show/drop chunks with UUIDv7 partitioning.
  • #​8753 Allow sorts over decompressed index scans for ChunkAppend.
  • #​8758 Improve error message on catalog version mismatch.
  • #​8774 Add GUC for WAL based invalidation of continuous aggregates.
  • #​8782 Stops sparse index from allowing multiple options.
  • #​8799 Set next_start for WITH clause compression policy.
  • #​8807 Only warn but not fail the compression if bloom filter indexes are configured but disabled with a GUC.

GUCs

  • cagg_processing_wal_batch_size: Batch size when processing WAL entries.
  • enable_cagg_wal_based_invalidation: Enable experimental invalidations for continuous aggregates using WAL.
  • enable_direct_compress_insert: Enable direct compression during INSERT.
  • enable_direct_compress_insert_client_sorted: Enable direct compress INSERT with presorted data.
  • enable_direct_compress_insert_sort_batches: Enable batch sorting during direct compress INSERT.

Thanks

  • @​brandonpurcell-dev For highlighting issues with show_chunks() and UUIDv7 partitioning
  • @​moodgorning for reporting an issue with the timescaledb_information.job_stats view
  • @​ruideyllot for reporting set-returning functions not working in continuous aggregates
  • @​t-aistleitner for reporting an issue with utility statements in plpgsql functions

v2.22.1

Compare Source

This release contains performance improvements and bug fixes since the 2.22.0 release. We recommend that you upgrade at the next available opportunity.

This release blocks the ability to leverage concurrent refresh policies in hierarchical continuous aggregates, as potential deadlocks can occur.
Concurrent refresh policies were introduced in 2.21.0 and allow users to define multiple time ranges, to refresh, e.g. data from the last hour in policy and the last day in a second policy.
If you are using this feature with hierarchical continuous aggregates, please remove the existing policies and create a new policy for the full range you want to refresh, of the continuous aggregate as follows:

--- Find the job ID's of the concurrent refresh policies
SELECT * FROM timescaledb_information.jobs WHERE proc_name = 'policy_refresh_continuous_aggregate';
--- Remove the job
SELECT delete_job("<job_id_of_concurrent_policy>");
--- Create new policy for hierarchical continuous aggregate
SELECT add_continuous_aggregate_policy('<name_of_materialized_view>',
  start_offset => INTERVAL '1 month',
  end_offset => INTERVAL '1 day',
  schedule_interval => INTERVAL '1 hour');

Bugfixes

  • #​7766 Load the OSM extension in the retention background worker to drop tiered chunks
  • #​8550 Error in gapfill with expressions over aggregates, groupby columns, and out-of-order columns
  • #​8593 Error on change of invalidation method for continuous aggregate
  • #​8599 Fix the attnum mismatch bug in chunk constraint checks
  • #​8607 Fix the interrupted continous aggregate refresh materialization phase that leaves behind pending materialization ranges
  • #​8638 ALTER TABLE RESET for orderby settings
  • #​8644 Fix the migration script for sparse index configuration
  • #​8657 Fix CREATE TABLE WITH when using UUIDv7 partitioning
  • #​8659 ALTER TABLE commands to foreign data wrapper chunks not propogated.
  • #​8693 Compressed index not chosen for varchar typed segmentby columns
  • #​8707 Block concurrent refresh policies for hierarchical continous aggregate due to potential deadlocks

Thanks

  • @​MKrkkl for reporting a bug in gapfill queries with expressions over aggregates and groupby columns
  • @​brandonpurcell-dev for creating a test case that showed a bug in CREATE TABLE WITH when using UUIDv7 partitioning
  • @​snyrkill for reporting a bug when interrupting a continous aggregate refresh

v2.22.0

Compare Source

This release contains performance improvements and bug fixes since the 2.22.1 release. We recommend that you upgrade at the next available opportunity.

Highlighted features in TimescaleDB v2.23.0

  • This release introduces full PostgreSQL 18 support for all existing features. TimescaleDB v2.23 is available for PostgreSQL 15, 16, 17, and 18.
  • UUIDv7 compression is now enabled by default on the columnstore. This feature was shipped in v2.22.0. It saves you at least 30% of storage and delivers ~2× faster query performance with UUIDv7 columns in the filter conditions.
  • Added the ability to set hypertables to unlogged, addressing an open community request #​836. This allows the tradeoff between durability and performance, with the latter being favourable for larger imports.
  • By allowing set-returning functions in continuous aggregates, this releases addresses a long standing blocker, raised by the community #​1717.

PostgreSQL 15 deprecation announcement

We will continue supporting PostgreSQL 15 until June 2026. Closer to that time, we will announce the specific TimescaleDB version in which PostgreSQL 15 support will not be included going forward.

Features

  • #​8373 More precise estimates of row numbers for columnar storage based on Postgres statistics.
  • #​8581 Allow mixing Postgres and TimescaleDB options in ALTER TABLE SET.
  • #​8582 Make partition_column in CREATE TABLE WITH optional.
  • #​8588 Automatically create a columnstore policy when a hypertable with columnstore enabled is created via CREATE TABLE WITH statement.
  • #​8606 Add job history config parameters for maximum successes and failures to keep for each job.
  • #​8632 Remove ChunkDispatch custom node.
  • #​8637 Add INSERT support for direct compress.
  • #​8661 Allow ALTER TABLE ONLY to change reloptions to apply setting changes only to future chunks.
  • #​8703 Allow set-returning functions in continuous aggregates.
  • #​8734 Support direct compress when inserting into a chunk.
  • #​8741 Add support for unlogged hypertables.
  • #​8769 Remove continuous aggregate invalidation trigger.
  • #​8798 Enable UUIDv7 compression by default.
  • #​8804 Remove insert_blocker trigger.

Bugfixes

  • #​8561 Show warning when direct compress is skipped due to triggers or unique constraints.
  • #​8567 Do not require a job to have executed to show status.
  • #​8654 Fix approximate_row_count for compressed chunks.
  • #​8704 Fix direct DELETE on compressed chunk.
  • #​8728 Don't block dropping hypertables with other objects.
  • #​8735 Fix ColumnarScan for UNION queries.
  • #​8739 Fix cached utility statements.
  • #​8742 Potential internal program error when grouping by bool columns of a compressed hypertable.
  • #​8743 Modify schedule interval for job history pruning.
  • #​8746 Support show/drop chunks with UUIDv7 partitioning.
  • #​8753 Allow sorts over decompressed index scans for ChunkAppend.
  • #​8758 Improve error message on catalog version mismatch.
  • #​8774 Add GUC for WAL based invalidation of continuous aggregates.
  • #​8782 Stops sparse index from allowing multiple options.
  • #​8799 Set next_start for WITH clause compression policy.
  • #​8807 Only warn but not fail the compression if bloom filter indexes are configured but disabled with a GUC.

GUCs

  • cagg_processing_wal_batch_size: Batch size when processing WAL entries.
  • enable_cagg_wal_based_invalidation: Enable experimental invalidations for continuous aggregates using WAL.
  • enable_direct_compress_insert: Enable direct compression during INSERT.
  • enable_direct_compress_insert_client_sorted: Enable direct compress INSERT with presorted data.
  • enable_direct_compress_insert_sort_batches: Enable batch sorting during direct compress INSERT.

Thanks

  • @​brandonpurcell-dev For highlighting issues with show_chunks() and UUIDv7 partitioning
  • @​moodgorning for reporting an issue with the timescaledb_information.job_stats view
  • @​ruideyllot for reporting set-returning functions not working in continuous aggregates
  • @​t-aistleitner for reporting an issue with utility statements in plpgsql functions

v2.21.4

Compare Source

This release contains performance improvements and bug fixes since the 2.21.3 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8667 Fix wrong selectivity estimates uncovered by the recent Postgres minor releases 15.14, 16.10, 17.6.

v2.21.3

Compare Source

This release contains performance improvements and bug fixes since the 2.21.2 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8471 Fix MERGE behaviour with updated values

v2.21.2

Compare Source

This release contains performance improvements and bug fixes since the 2.21.1 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8418 Fix duplicate constraints in JOIN queries
  • #​8426 Fix chunk skipping min/max calculation
  • #​8434 Allow show_chunks to process more than 65535 chunks

v2.21.1

Compare Source

This release contains one bug fix since the 2.21.0 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8336 Fix generic plans for foreign key checks and prepared statements

Thanks

  • @​CodeTherapist for reporting the issue with foreign key checks not working after several INSERT statements

v2.21.0

Compare Source

This release contains performance improvements and bug fixes since the 2.22.0 release. We recommend that you upgrade at the next available opportunity.

This release blocks the ability to leverage concurrent refresh policies in hierarchical continuous aggregates, as potential deadlocks can occur.
Concurrent refresh policies were introduced in 2.21.0 and allow users to define multiple time ranges, to refresh, e.g. data from the last hour in policy and the last day in a second policy.
If you are using this feature with hierarchical continuous aggregates, please remove the existing policies and create a new policy for the full range you want to refresh, of the continuous aggregate as follows:

--- Find the job ID's of the concurrent refresh policies
SELECT * FROM timescaledb_information.jobs WHERE proc_name = 'policy_refresh_continuous_aggregate';
--- Remove the job
SELECT delete_job("<job_id_of_concurrent_policy>");
--- Create new policy for hierarchical continuous aggregate
SELECT add_continuous_aggregate_policy('<name_of_materialized_view>',
  start_offset => INTERVAL '1 month',
  end_offset => INTERVAL '1 day',
  schedule_interval => INTERVAL '1 hour');

Bugfixes

  • #​7766 Load the OSM extension in the retention background worker to drop tiered chunks
  • #​8550 Error in gapfill with expressions over aggregates, groupby columns, and out-of-order columns
  • #​8593 Error on change of invalidation method for continuous aggregate
  • #​8599 Fix the attnum mismatch bug in chunk constraint checks
  • #​8607 Fix the interrupted continous aggregate refresh materialization phase that leaves behind pending materialization ranges
  • #​8638 ALTER TABLE RESET for orderby settings
  • #​8644 Fix the migration script for sparse index configuration
  • #​8657 Fix CREATE TABLE WITH when using UUIDv7 partitioning
  • #​8659 ALTER TABLE commands to foreign data wrapper chunks not propogated.
  • #​8693 Compressed index not chosen for varchar typed segmentby columns
  • #​8707 Block concurrent refresh policies for hierarchical continous aggregate due to potential deadlocks

Thanks

  • @​MKrkkl for reporting a bug in gapfill queries with expressions over aggregates and groupby columns
  • @​brandonpurcell-dev for creating a test case that showed a bug in CREATE TABLE WITH when using UUIDv7 partitioning
  • @​snyrkill for reporting a bug when interrupting a continous aggregate refresh

v2.20.3

Compare Source

This release contains bug fixes since the 2.20.2 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8107 Adjust SkipScan cost for quals needing full scan of indexed data.
  • #​8211 Fixed dump and restore when chunk skipping is enabled.
  • #​8216 Fix for dropped quals bug in SkipScan.
  • #​8230 Fix for inserting into compressed data when vectorised check is not available.
  • #​8236 Fixed the snapshot handling in background workers.

Thanks

  • @​ikaakkola for reporting that SkipScan is slow when non-index quals do not match any tuples.

v2.20.2

Compare Source

This release contains bug fixes since the 2.20.1 release. We recommend that you upgrade at the next available opportunity.

Bugfixes

  • #​8200 Fix NULL compression handling for vectorized constraint checking

v2.20.1

Compare Source

This release contains performance improvements and bug fixes since the 2.20.0 release. We recommend that you upgrade at the next available opportunity.

Features

  • #​8145 Log only if compression ratio warnings are enabled

Bugfixes

  • #​7292 Intermittent "could not find pathkey item to sort" error when grouping or ordering by a time_bucket of an equality join variable.
  • #​8126 Allow setting bgw_log_level to FATAL and ERROR
  • #​8151 Treat null equal to null for merged CAgg refresh
  • #​8153 Restoring a database having NULL compressed data
  • #​8162 Fix setting compress_chunk_interval on continuous aggregates
  • #​8163 Fix gapfill crash with locf NULL values treated as missing
  • #​8171 Disable decompression limit during continuous aggregate refresh

Thanks

v2.20.0

Compare Source

This release contains performance improvements and bug fixes since the 2.22.0 release. We recommend that you upgrade at the next available opportunity.

This release blocks the ability to leverage concurrent refresh policies in hierarchical continuous aggregates, as potential deadlocks can occur.
Concurrent refresh policies were introduced in 2.21.0 and allow users to define multiple time ranges, to refresh, e.g. data from the last hour in policy and the last day in a second policy.
If you are using this feature with hierarchical continuous aggregates, please remove the existing policies and create a new policy for the full range you want to refresh, of the continuous aggregate as follows:

--- Find the job ID's of the concurrent refresh policies
SELECT * FROM timescaledb_information.jobs WHERE proc_name = 'policy_refresh_continuous_aggregate';
--- Remove the job
SELECT delete_job("<job_id_of_concurrent_policy>");
--- Create new policy for hierarchical continuous aggregate
SELECT add_continuous_aggregate_policy('<name_of_materialized_view>',
  start_offset => INTERVAL '1 month',
  end_offset => INTERVAL '1 day',
  schedule_interval => INTERVAL '1 hour');

Bugfixes

  • #​7766 Load the OSM extension in the retention background worker to drop tiered chunks
  • #​8550 Error in gapfill with expressions over aggregates, groupby columns, and out-of-order columns
  • #​8593 Error on change of invalidation method for continuous aggregate
  • #​8599 Fix the attnum mismatch bug in chunk constraint checks
  • #​8607 Fix the interrupted continous aggregate refresh materialization phase that leaves behind pending materialization ranges
  • #​8638 ALTER TABLE RESET for orderby settings
  • #​8644 Fix the migration script for sparse index configuration
  • #​8657 Fix CREATE TABLE WITH when using UUIDv7 partitioning
  • #​8659 ALTER TABLE commands to foreign data wrapper chunks not propogated.
  • #​8693 Compressed index not chosen for varchar typed segmentby columns
  • #​8707 Block concurrent refresh policies for hierarchical continous aggregate due to potential deadlocks

Thanks

  • @​MKrkkl for reporting a bug in gapfill queries with expressions over aggregates and groupby columns
  • @​brandonpurcell-dev for creating a test case that showed a bug in CREATE TABLE WITH when using UUIDv7 partitioning
  • @​snyrkill for reporting a bug when interrupting a continous aggregate refresh

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env:
# renovate datasource=github-releases depName=timescale/timescaledb
TIMESCALE_VERSION: 2.19.3
TIMESCALE_VERSION: 2.24.0
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Bug: The updated TIMESCALE_VERSION 2.24.0 is incompatible with PostgreSQL 14, which is still present in the build matrix, causing a guaranteed build failure.
Severity: CRITICAL | Confidence: High

🔍 Detailed Analysis

The TIMESCALE_VERSION was updated to 2.24.0 in .github/workflows/build.yaml. However, the build matrix still includes a job for PostgreSQL 14. Support for PostgreSQL 14 was dropped in TimescaleDB version 2.20.0. As a result, the Docker build step for the PostgreSQL 14 job will fail when attempting to install the non-existent package timescaledb-2-postgresql-14=2.24.0~debian.... This will cause the build pipeline to crash for that specific job.

💡 Suggested Fix

Remove the PostgreSQL 14 entry from the build matrix in .github/workflows/build.yaml. The new TIMESCALE_VERSION 2.24.0 does not support it, so the corresponding build job is no longer valid.

🤖 Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.

Location: .github/workflows/build.yaml#L7

Potential issue: The `TIMESCALE_VERSION` was updated to `2.24.0` in
`.github/workflows/build.yaml`. However, the build matrix still includes a job for
PostgreSQL 14. Support for PostgreSQL 14 was dropped in TimescaleDB version `2.20.0`. As
a result, the Docker build step for the PostgreSQL 14 job will fail when attempting to
install the non-existent package `timescaledb-2-postgresql-14=2.24.0~debian...`. This
will cause the build pipeline to crash for that specific job.

Did we get this right? 👍 / 👎 to inform future reviews.
Reference ID: 7762790

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