![]() ![]() I’d be remiss not to mention that Render was the first cloud provider I know to support PostgreSQL 14, making it available on the same day PostgreSQL 14 was released and giving our customers access to all these exciting improvements in just a few clicks. ![]() There are many more new features and improvements, which you can read about in the PostgreSQL 14 release announcement or compare across versions in the feature matrix (deselect all versions except 14 and the one you want to compare to and select “Hide unchanged features”). Of course, these results are dependent on your hardware, schema, data, and queries, so you may not see the same results, but the consensus seems to be that PostgreSQL’s handling of concurrent connections has improved significantly. Kyleigh Walsh II postgresql jsonb postgresql-9. Real life example: List last 10 tweets (unindexed). At 10,000 connections, that improvement went up to 50%. Note that in jsonb a NULL value should be specified precisely so on input (as in the sample above), not in some quoted version. For example, to select all rows which match the name field Prof Here's my rudimentary attempt: SELECT passengers from opportunities WHERE 'passengers->adults' NULL AND 'passengers->adults->persons->name' LIKE 'Prof' This returns 0 rows, but as you can see I have one row with the name Prof. We make medical / financial software using Python and Postgres. At 5000 active connections, they saw about a 20% improvement in throughput over PostgreSQL 13. The folks at pganalyze did some great performance testing using pgbench to verify this. However, PostgreSQL 14’s handling of multiple client connections will likely be the performance improvement noticeable to the most people. ![]() ( 1 row ) Improved Handling of Concurrent ConnectionsĪ lot has happened behind the scenes to improve PostgreSQL performance. DROP TABLE reservation CREATE TABLE reservation (room int, during tsmultirange ) INSERT INTO reservation VALUES ( 1108, tsmultirange ( ![]()
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