Skip to content

Support ALTER TABLE SET (tsdb.chunk_time_interval='1 day') #8005

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Apr 28, 2025

Conversation

svenklemm
Copy link
Member

No description provided.

Copy link

@fabriziomello, @akuzm: please review this pull request.

Powered by pull-review

@github-actions github-actions bot requested a review from fabriziomello April 24, 2025 11:14
@philkra philkra added this to the v2.20.0 milestone Apr 24, 2025
@@ -292,3 +292,18 @@ SELECT count(*) FROM test_output;
2
(1 row)

-- test ALTER TABLE SET (tsdb.chunk_time_interval) on a hypertable
CREATE TABLE t_with(time timestamptz not null, device text, value float) WITH (tsdb.hypertable,tsdb.time_column='time');
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Would be good to also include a test using tsdb.chunk_time_interval in CREATE TABLE

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This PR only adds ALTER TABLE stuff, for CREATE TABLE there are already multiple tests in tsl/test/sql/create_table_with.sql

@@ -15,7 +15,8 @@

typedef enum AlterTableFlags
{
AlterTableFlagCompressEnabled = 0,
AlterTableFlagChunkTimeInterval = 0,
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Why do we have = 0 by the way? Looks as if we cared about the absolute values, but we don't.

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

since those are used as array index we want them to start with 0 to align with array size

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

but those values are never persisted so it's not required that they stay in same order

@svenklemm svenklemm force-pushed the sven/set_chunk_time_interval branch 2 times, most recently from e68b75a to 74e4a45 Compare April 28, 2025 08:52
@svenklemm svenklemm force-pushed the sven/set_chunk_time_interval branch 3 times, most recently from 838b507 to 94fb524 Compare April 28, 2025 10:44
@svenklemm svenklemm force-pushed the sven/set_chunk_time_interval branch from 94fb524 to bd74c5b Compare April 28, 2025 10:52
@svenklemm svenklemm merged commit 143ac46 into main Apr 28, 2025
39 checks passed
@svenklemm svenklemm deleted the sven/set_chunk_time_interval branch April 28, 2025 11:12
This was referenced May 7, 2025
philkra added a commit that referenced this pull request May 15, 2025
## 2.20.0 (2025-05-15)

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

**Highlighted features in TimescaleDB v2.20.0**
* The columnstore now leverages *bloom filters* to deliver up to 6x
faster point queries on columns with high cardinality values, such as
UUIDs.
* Major *improvements to the columnstores' backfill process* enable
`UPSERTS` with strict constraints to execute up to 10x faster.
* *SkipScan is now supported in the columnstore*, including for DISTINCT
queries. This enhancement leads to dramatic query performance
improvements of 2000x to 2500x, especially for selective queries.
* SIMD vectorization for the bool data type is now enabled by default.
This change results in a 30–45% increase in performance for analytical
queries with bool clauses on the columnstore.
* *Continuous aggregates* now include experimental support for *window
functions and non-immutable functions*, extending the analytics use
cases they can solve.
* Several quality-of-life improvements have been introduced: job names
for continuous aggregates are now more descriptive, you can assign
custom names to them, and it is now possible to add unique constraints
along with `ADD COLUMN` operations in the columnstore.
* Improved management and optimization of chunks with the ability to
split large uncompressed chunks at a specified point in time using the
`split_chunk` function. This new function complements the existing
`merge_chunk` function that can be used to merge two small chunks into
one larger chunk.
* Enhancements to the default behavior of the columnstore now provide
better *automatic assessments* of `segment by` and `order by` columns,
reducing the need for manual configuration and simplifying initial
setup.

**PostgreSQL 14 support removal announcement**

Following the deprecation announcement for PostgreSQL 14 in TimescaleDB
v2.19.0, PostgreSQL 14 is no longer supported in TimescaleDB v2.20.0.
The currently supported PostgreSQL major versions are 15, 16, and 17.

**Features**
* [#7638](#7638) Bloom
filter sparse indexes for compressed columns. Can be disabled with the
GUC `timescaledb.enable_sparse_index_bloom`
* [#7756](#7756) Add
warning for poor compression ratio
* [#7762](#7762) Speed up
the queries that use minmax sparse indexes on compressed tables by
changing the index TOAST storage type to `MAIN`. This applies to newly
compressed chunks
* [#7785](#7785) Do
`DELETE` instead of `TRUNCATE` when locks aren't acquired
* [#7852](#7852) Allow
creating foreign key constraints on compressed tables
* [#7854](#7854) Remove
support for PG14
* [#7864](#7854) Allow
adding CHECK constraints to compressed chunks
* [#7868](#7868) Allow
adding columns with `CHECK` constraints to compressed chunks
* [#7874](#7874) Support
for SkipScan for distinct aggregates over the same column
* [#7877](#7877) Remove
blocker for unique constraints with `ADD COLUMN`
* [#7878](#7878) Don't
block non-immutable functions in continuous aggregates
* [#7880](#7880) Add
experimental support for window functions in continuous aggregates
* [#7899](#7899) Vectorized
decompression and filtering for boolean columns
* [#7915](#7915) New option
`refresh_newest_first` to continuous aggregate refresh policy API
* [#7917](#7917) Remove
`_timescaledb_functions.create_chunk_table` function
* [#7929](#7929) Add
`CREATE TABLE ... WITH` API for creating hypertables
* [#7946](#7946) Add
support for splitting a chunk
* [#7958](#7958) Allow
custom names for jobs
* [#7972](#7972) Add
vectorized filtering for constraint checking while backfilling into
compressed chunks
* [#7976](#7976) Include
continuous aggregate name in jobs informational view
* [#7977](#7977) Replace
references to compression with columnstore
* [#7981](#7981) Add
columnstore as alias for `enable_columnstore `in `ALTER TABLE`
* [#7983](#7983) Support
for SkipScan over compressed data
* [#7991](#7991) Improves
default `segmentby` options
* [#7992](#7992) Add API
into hypertable invalidation log
* [#8000](#8000) Add
primary dimension info to information schema
* [#8005](#8005) Support
`ALTER TABLE SET (timescaledb.chunk_time_interval='1 day')`
* [#8012](#8012) Add event
triggers support on chunk creation
* [#8014](#8014) Enable
bool compression by default by setting
`timescaledb.enable_bool_compression=true`. Note: for downgrading to
`2.18` or earlier version, use [this downgrade
script](https://github.com/timescale/timescaledb-extras/blob/master/utils/2.19.0-downgrade_new_compression_algorithms.sql)
* [#8018](#8018) Add
spin-lock during recompression on unique constraints
* [#8026](#8026) Allow
`WHERE` conditions that use nonvolatile functions to be pushed down to
the compressed scan level. For example, conditions like `time > now()`,
where `time` is a columnstore `orderby` column, will evaluate `now()`
and use the sparse index on `time` to filter out the entire compressed
batches that cannot contain matching rows.
* [#8027](#8027) Add
materialization invalidations API
* [#8047](#8027) Support
SkipScan for `SELECT DISTINCT` with multiple distincts when all but one
distinct is pinned
* [#8115](#8115) Add batch
size limiting during compression

**Bugfixes**
* [#7862](#7862) Release
cache pin when checking for `NOT NULL`
* [#7909](#7909) Update
compression stats when merging chunks
* [#7928](#7928) Don't
create a hypertable for implicitly published tables
* [#7982](#7982) Fix crash
in batch sort merge over eligible expressions
* [#8008](#8008) Fix
compression policy error message that shows number of successes
* [#8031](#8031) Fix
reporting of deleted tuples for direct batch delete
* [#8033](#8033) Skip
default `segmentby` if `orderby` is explicitly set
* [#8061](#8061) Ensure
settings for a compressed relation are found
* [#7515](#7515) Add
missing lock to Constraint-aware append
* [#8067](#8067) Make sure
hypercore TAM parent is vacuumed
* [#8074](#8074) Fix memory
leak in row compressor flush
* [#8099](#8099) Block
chunk merging on multi-dimensional hypertables
* [#8106](#8106) Fix
segfault when adding unique compression indexes to compressed chunks
* [#8127](#8127) Read
bit-packed version of booleans

**GUCs**
* `timescaledb.enable_sparse_index_bloom`: Enable creation of the bloom1
sparse index on compressed chunks; Default: `ON`
* `timescaledb.compress_truncate_behaviour`: Defines how truncate
behaves at the end of compression; Default: `truncate_only`
* `timescaledb.enable_compression_ratio_warnings`: Enable warnings for
poor compression ratio; Default: `ON`
* `timescaledb.enable_event_triggers`: Enable event triggers for chunks
creation; Default: `OFF`
* `timescaledb.enable_cagg_window_functions`: Enable window functions in
continuous aggregates; Default: `OFF`

**Thanks**
* @arajkumar for reporting that implicitly published tables were still
able to create hypertables
* @thotokraa for reporting an issue with unique expression indexes on
compressed chunks

---------

Signed-off-by: Philip Krauss <[email protected]>
Signed-off-by: Ramon Guiu <[email protected]>
Co-authored-by: Anastasiia Tovpeko <[email protected]>
Co-authored-by: Ramon Guiu <[email protected]>
@akuzm akuzm added the released-2.20.0 Released in 2.20.0 label May 16, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

5 participants