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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

Preventing page corruption


Database corruption is a major concern, since in a worst case scenario we may lose valuable customer related data. It is also a painful job, to recover the corrupted disk or restore the data from previous backups. Database corruption can happen due to the following reasons:

  • Bad hardware

  • Bug in database software

  • Bug in a kernel

  • Bad database configuration

As like other database management systems, PostgreSQL also provides few configuration settings, which will try to avoid the page corruption. If page corruption happens at disk level, then PostgreSQL has the ability to bypass the corrupted data, and return the uncorrupted data.

Getting ready

In this recipe, we will be discussing how to enable the checksums for each data block, and how to retain the uncorrupted data when any corruption happens.

To enable the checksums for each data block, we have to initialize the PostgreSQL cluster with the --data-checksums option using the initdb command. Adding this checksum option will...

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