We recently hit an interesting case where planner picked wrong plan. Kinda. And figured it could be used to show how to deal with such cases.
Continue reading Case study: optimization of weirdly picked bad plan
We recently hit an interesting case where planner picked wrong plan. Kinda. And figured it could be used to show how to deal with such cases.
Continue reading Case study: optimization of weirdly picked bad plan
Amazing. Awesome. Well, but what is it? We could store json data in Pg since PostgreSQL 9.2 – so it's been there for over 12 years now. How is the new shiny thing different? What does it allow you to do?
Let's see if I can shed some light on it…
Continue reading SQL/JSON is here! (kinda “Waiting for Pg 17")
On 17th of September 2024, Peter Eisentraut committed patch:
Add temporal FOREIGN KEY contraints Add PERIOD clause to foreign key constraint definitions. This is supported for range and multirange types. Temporal foreign keys check for range containment instead of equality. This feature matches the behavior of the SQL standard temporal foreign keys, but it works on PostgreSQL's native ranges instead of SQL's "periods", which don't exist in PostgreSQL (yet). Reference actions ON {UPDATE,DELETE} {CASCADE,SET NULL,SET DEFAULT} are not supported yet. (previously committed as 34768ee3616, reverted by 8aee330af55; this is essentially unchanged from those) Author: Paul A. Jungwirth <pj@illuminatedcomputing.com> Reviewed-by: Peter Eisentraut <peter@eisentraut.org> Reviewed-by: jian he <jian.universality@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/CA+renyUApHgSZF9-nd-a0+OPGharLQLO=mDHcY4_qQ0+noCUVg@mail.gmail.com
Continue reading Waiting for PostgreSQL 18 – Add temporal FOREIGN KEY contraints
On 17th of September 2024, Peter Eisentraut committed patch:
Add temporal PRIMARY KEY and UNIQUE constraints Add WITHOUT OVERLAPS clause to PRIMARY KEY and UNIQUE constraints. These are backed by GiST indexes instead of B-tree indexes, since they are essentially exclusion constraints with = for the scalar parts of the key and && for the temporal part. (previously committed as 46a0cd4cefb, reverted by 46a0cd4cefb; the new part is this:) Because 'empty' && 'empty' is false, the temporal PK/UQ constraint allowed duplicates, which is confusing to users and breaks internal expectations. For instance, when GROUP BY checks functional dependencies on the PK, it allows selecting other columns from the table, but in the presence of duplicate keys you could get the value from any of their rows. So we need to forbid empties. This all means that at the moment we can only support ranges and multiranges for temporal PK/UQs, unlike the original patch (above). Documentation and tests for this are added. But this could conceivably be extended by introducing some more general support for the notion of "empty" for other types. Author: Paul A. Jungwirth <pj@illuminatedcomputing.com> Reviewed-by: Peter Eisentraut <peter@eisentraut.org> Reviewed-by: jian he <jian.universality@gmail.com> Discussion: https://www.postgresql.org/message-id/flat/CA+renyUApHgSZF9-nd-a0+OPGharLQLO=mDHcY4_qQ0+noCUVg@mail.gmail.com
Continue reading Waiting for PostgreSQL 18 – Add temporal PRIMARY KEY and UNIQUE constraints
We had a case recently where one of our DBs failed over to a new primary. To this server (old primary, and then new primary) we had connection from some kind of CDC tool (Debezium, I think).
The thing is that while there was failover, this tool read (using logical decoding) changes on old primary to location 1F1F/4ADC3348, and on new db, it connected from location 1F1F/4ADC4038. Which means that there was some WAL that was not decoded and sent to Debezium.
This is fixable, but we need to know what tables were touched in the WAL stream, that Debezium didn't see, if any. Perhaps we could also get ids/location of the rows that were there?
Continue reading What tables were touched within given range of wal LSN?
I've been to PGConf.dev recently, and one of the talks was about collations.
The whole talk was interesting (to put it mildly), but the thing that stuck with me is that we really shouldn't be using default collation provider (libc with locale based collation), unless it's really needed, because we're wasting performance. But how much of a hit is it?
Continue reading How much speed you're leaving at the table if you use default locale?
I thought about it for quite some time, whether I should write about it, and how. That's why there is delay since:
On 6th of April 2024, Alexander Korotkov committed patch:
Implement ALTER TABLE ... MERGE PARTITIONS ... command This new DDL command merges several partitions into the one partition of the target table. The target partition is created using new createPartitionTable() function with parent partition as the template. This commit comprises quite naive implementation which works in single process and holds the ACCESS EXCLUSIVE LOCK on the parent table during all the operations including the tuple routing. This is why this new DDL command can't be recommended for large partitioned tables under a high load. However, this implementation come in handy in certain cases even as is. Also, it could be used as a foundation for future implementations with lesser locking and possibly parallel. Discussion: https://postgr.es/m/c73a1746-0cd0-6bdd-6b23-3ae0b7c0c582%40postgrespro.ru Author: Dmitry Koval Reviewed-by: Matthias van de Meent, Laurenz Albe, Zhihong Yu, Justin Pryzby Reviewed-by: Alvaro Herrera, Robert Haas, Stephane Tachoires
and, also on 6th of April 2024, Alexander Korotkov committed patch:
Implement ALTER TABLE ... SPLIT PARTITION ... command This new DDL command splits a single partition into several parititions. Just like ALTER TABLE ... MERGE PARTITIONS ... command, new patitions are created using createPartitionTable() function with parent partition as the template. This commit comprises quite naive implementation which works in single process and holds the ACCESS EXCLUSIVE LOCK on the parent table during all the operations including the tuple routing. This is why this new DDL command can't be recommended for large partitioned tables under a high load. However, this implementation come in handy in certain cases even as is. Also, it could be used as a foundation for future implementations with lesser locking and possibly parallel. Discussion: https://postgr.es/m/c73a1746-0cd0-6bdd-6b23-3ae0b7c0c582%40postgrespro.ru Author: Dmitry Koval Reviewed-by: Matthias van de Meent, Laurenz Albe, Zhihong Yu, Justin Pryzby Reviewed-by: Alvaro Herrera, Robert Haas, Stephane Tachoires
Continue reading Waiting for PostgreSQL 17 – MERGE / SPLIT partitions
This is not the usual Waiting for post, but something should be said.
Back in March/April of 2022 Andrew Dunstan committed a series of patches that added support for lots of really interesting features from SQL/JSON standard.
While I'm not avid user of json in database, I was very, very happy. Wrote couple of blogposts about it.
Then, around six month later they got reverted.
Lately, since last year, actually, these re-appeared again:
Since they re-appeared I was asked (twice) to write about them in the Waiting for series.
So, I just want to say that while I did notice these changes, and am very happy that they are there, I don't plan on writing Waiting for about them.
The reason is simple: I kinda have the feeling that I already wrote about waiting for them.
What I can say though, is that as soon as PostgreSQL version (be it 17, or any other) will get released with these in there, I will reblog about SQL/JSON, with updated examples, so that this huge functionality, and astounding amount of work by developers and testers, will get as much publicity as it can.
For now: I hope it will make it to Pg 17 release, and even before that I would like to thank everyone involved. By my quick count we have at least nine separate authors, and fifteen reviewers, and this is just across these five commits I mentioned.
THANK YOU – can't wait till I will be able to write about it properly 🙂
On 3rd of April 2024, Tom Lane committed patch:
Invent SERIALIZE option for EXPLAIN. EXPLAIN (ANALYZE, SERIALIZE) allows collection of statistics about the volume of data emitted by a query, as well as the time taken to convert the data to the on-the-wire format. Previously there was no way to investigate this without actually sending the data to the client, in which case network transmission costs might swamp what you wanted to see. In particular this feature allows investigating the costs of de-TOASTing compressed or out-of-line data during formatting. Stepan Rutz and Matthias van de Meent, reviewed by Tomas Vondra and myself Discussion: https://postgr.es/m/ca0adb0e-fa4e-c37e-1cd7-91170b18cae1@gmx.de
Continue reading Waiting for PostgreSQL 17 – Invent SERIALIZE option for EXPLAIN.
On 1st of April 2024, Masahiko Sawada committed patch:
Add new COPY option LOG_VERBOSITY. This commit adds a new COPY option LOG_VERBOSITY, which controls the amount of messages emitted during processing. Valid values are 'default' and 'verbose'. This is currently used in COPY FROM when ON_ERROR option is set to ignore. If 'verbose' is specified, a NOTICE message is emitted for each discarded row, providing additional information such as line number, column name, and the malformed value. This helps users to identify problematic rows that failed to load. Author: Bharath Rupireddy Reviewed-by: Michael Paquier, Atsushi Torikoshi, Masahiko Sawada Discussion: https://www.postgresql.org/message-id/CALj2ACUk700cYhx1ATRQyRw-fBM%2BaRo6auRAitKGff7XNmYfqQ%40mail.gmail.com
Continue reading Waiting for PostgreSQL 17 – Add new COPY option LOG_VERBOSITY.