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Category: Performance

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Here you can find all blog posts about the Category: Performance. You can go back to all blog posts or take a look into our other categories & tags.

Dealing with trigger recursion in PostgreSQL

by Laurenz Albe | 10.2024
This article describes the problem of endless trigger recursion in PostgreSQL and shows how to deal with it and get good performance.

PostgreSQL hash index performance

by Laurenz Albe | 12.2023
  Among the many index types in PostgreSQL, the hash index is the most widely ignored. This came home to […]

Kill long running queries in PostgreSQL

by Hans-Jürgen Schönig | 10.2023
How to detect and terminate long running queries in PostgreSQL using two different methods. Also: How to automatically kill slow queries.

pg_stat_io and PostgreSQL 16 performance

by Hans-Jürgen Schönig | 10.2023
How to use pg_stat_io for true debugging power in PostgreSQL v16. Offers deep insights into database I/O behavior & performance.

Monitoring Performance for PostgreSQL with Citus

by Hans-Jürgen Schönig | 09.2023
Monitoring PostgreSQL with Citus: how to leverage monitoring to optimize PostgreSQL + Citus distributed database performance.

Monitoring PostgreSQL replication

by Hans-Jürgen Schönig | 09.2023
How to monitor replication lag in PostgreSQL? What is replication lag? And how to best go about monitoring PostgreSQL replication in general?

Citus: Sharding your first table

by Hans-Jürgen Schönig | 09.2023
Here’s how to shard a table from scratch with Citus. Scale PostgreSQL DBs using a sharding approach. How to run a Citus Docker container.

Indexing "LIKE" in PostgreSQL and Oracle

by Laurenz Albe | 08.2023
© Laurenz Albe 2023 Unless you use the binary collation, creating a b-tree index to support a LIKE condition in […]

Bulk load performance in PostgreSQL

by Laurenz Albe | 08.2023
  There are several techniques to bulk load data into PostgreSQL. I decided to compare their performance in a simple […]

Killing performance with PostgreSQL partitioning

by Hans-Jürgen Schönig | 07.2023
Partitioning is not without risk. It might help to handle large quantities of data, but it can also have downsides - learn how to it.
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