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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

Freezing and transaction ID wraparound


In this recipe, we will be discussing a few other aspects of the VACUUM process.

Getting ready

As we discussed in the previous recipe, each row in PostgreSQL contains xmin and xmax values in its header, which define the transaction status. For each implicit/explicit transaction, PostgreSQL allots a number to that transaction as a transaction ID. As transaction ID is a number, which should have its boundaries like the maximum and minimum values it should allow, since we cannot generate an infinite amount of numbers.

As any number should be a definite value, PostgreSQL chooses a 4-byte integer as a definite number for these transaction IDs. That is, the maximum transaction ID we can generate with 4 bytes is 2^32 ~ 4294967296, which is 4 billion transaction IDs. However, PostgreSQL is capable enough to handle the unlimited number of transactions with the 4-byte integer, by rotating the transaction IDs from 1 to 2^31 ~ 2147483648. That is, if PostgreSQL reaches...

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