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Category: Performance

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Here you can find all blog posts about the Category: Performance.
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DROP TABLE: Killing shared_buffers

by Hans-Jürgen Schönig | 06.2015
UPDATED August 2023: How to tune shared buffers - when it is large, PostgreSQL performance issues may result: what to do to fix the problem.

PostgreSQL 9.4 aggregate filter clauses: They do pay off

by Hans-Jürgen Schönig | 02.2015
In this blog ppost we cover the impact of aggregate FILTER clauses have on performance. Find out more about aggregation filters.

Forking databases - the art of copying without copying

by Ants Aasma | 01.2015
I received a question about how to fork PostgreSQL databases like you can do on Heroku. As I did not […]

Killing proper indexing: A neat idea

by Hans-Jürgen Schönig | 10.2014
There are a couple of ways to kill indexing entirely. One of this ways is to apply functions or expressions. Read out in our blog.

Speed up PostgreSQL data loading with COPY (FREEZE)

by Hans-Jürgen Schönig | 08.2014
UPDATED JUL 2023 How to load data fast and efficiently in PostgreSQL using COPY (FREEZE). Organize data nicely by instantly writing hint bits.

Speeding up things with hint bits

by Hans-Jürgen Schönig | 08.2014
UPDATED June 2023: What are hint bits in PostgreSQL? Hint bits improve PostgreSQL performance - find out why and how. Includes code examples.

Reducing log messages on the client

by Hans-Jürgen Schönig | 06.2014
Frequently PostgreSQL client applications are flooded with log messages from the server. Correct this by changing the server configuration.

The power of response times and execution time

by Hans-Jürgen Schönig | 04.2014
The goal of the PostgreSQL optimizer is to provide a plan which executes as fast as possible & returns all the data as rapidly as possible.

wal_level: What is the difference?

by Hans-Jürgen Schönig | 03.2014
PostgreSQL replication requires changing the wal_level from “minimal” to “hot_standby”. What er the impacts? Read out more.

Logging - the hidden speedbrakes

by Hans-Jürgen Schönig | 03.2014
When it comes to performance, people tend to forget some basic topics entirely. One of those topics is the impact of writing log files.
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