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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Monitoring vacuum progress

In this recipe, we will be discussing the usage of the pg_stat_progress_vacuum catalog view, which gives some metrics about the ongoing vacuum process.

Getting ready

PostgreSQL 9.6 introduces a new catalog view, which provides some metrics about the ongoing vacuum processes. This view provides some metrics, along with different action phases, where vacuum/autovacuum performs internally on the table. This view currently does not track the metrics of VACUUM FULL operations, which might be available in future versions.

How to do it...

Let use VACUUM on any sample big table:

benchmarksql=# VACUUM bigtable;

In another terminal, let us query the view and put in the \watch mode, as shown here:

benchmarksql=# SELECT * FROM pg_stat_progress_vacuum; 
(0 rows) 
benchmarksql=# \watch 1 -[ RECORD 1 ]------+------------------ pid                | 4785 
datid              | 16405 
datname            | benchmarksql 
relid              | 16762 
phase              | scanning...
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