Scaling Postgres Episode 17 | Real Time Analytics | Index Decrease Performance | work_mem

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In this episode of Scaling Postgres, we review articles covering using Postgres for real-time analytics, how indexes can decrease performance and how to configure work_mem.

Want to learn more about Postgres performance?

Timestamps:
00:00 - Intro
00:23 - Scalable incremental data aggregation on Postgres and Citus
06:54 - Adding an index can decrease SELECT performance
09:54 - Materialized views with PostgreSQL for beginners
12:34 - Configuring memory for Postgres
15:44 - Using Window Functions for Time Series IoT Analytics in Postgres-BDR
16:56 - How Redshift differs from PostgreSQL
18:09 - Deploying PostgreSQL on a Docker Container
19:16 - Outro

#postgres #postgresq

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Nice video. Thanks for your great work on curating PostgreSQL insights.

decipheringthematrix

In docker you have volumes, which are a way to separate data from containers, they are host directories that are mounted in the container, survive independently of the container, and can be shared among them, there are also storage drivers that could be used for the same purpose. Regards.

decipheringthematrix

Scaling Postgres Episode 17 | Real Time Analytics | Index Decrease Performance | work_mem

Scaling Postgres Episode 17 | Real Time Analytics | Index Decrease Performance | work_mem

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