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Tag: query tuning

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

Enforcing join orders in PostgreSQL

by Hans-Jürgen Schönig | 03.2024
PostgreSQL handle joins & especially join orders? Internally the PostgreSQL does a good job to optimize queries but how does it really work?

Forcing a join order in PostgreSQL

by Laurenz Albe | 05.2023
  Different from many other database systems, PostgreSQL does not support query hints. That makes it difficult to force the […]

Rewrite OR to UNION in PostgreSQL queries

by Laurenz Albe | 11.2022
  In my article that reviles OR, I showed how in certain cases, it is possible to rewrite OR in […]

Query parameter data types and performance

by Laurenz Albe | 03.2022
  Recently, I could help solve a “mysterious” performance problem for a customer. The problem turned out to be a […]

Data warehousing: Making use of synchronized seq scans

by Hans-Jürgen Schönig | 06.2021
Did you know PostgreSQL has the ability to synchronize sequential scans? If you are running data warehouses, you might have already used it without knowing.

How to interpret PostgreSQL EXPLAIN ANALYZE output

by Laurenz Albe | 05.2021
  UPDATED July 2023: EXPLAIN ANALYZE is the key to optimizing SQL statements in PostgreSQL. This article does not attempt […]

Detecting unstable execution times in PostgreSQL

by Hans-Jürgen Schönig | 12.2016
How to tune a query which is sometimes slow and sometimes fast. The question is usually: How come it has an unstable execution time?

paginators - The story about voluntary pain in PostgreSQL

by Hans-Jürgen Schönig | 08.2016
If you want to display millions of entries on your website, you definitely turn to paginators. Here's how you do it right using PostgreSQL.

Spying on slow statements with “auto_explain”

by CYBERTEC Guest | 06.2016
PostgreSQL "auto_explain" functionality is a useful debugging helper that many people don't know about. Describes setup and use cases.

Beating Uber with a PostgreSQL prototype

by Hans-Jürgen Schönig | 05.2016
How to beat the latency of Uber's geo-fencing query by just using nice PostgreSQL code and 30 minutes of programming time.
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