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Learn PostgreSQL

You're reading from   Learn PostgreSQL Build and manage high-performance database solutions using PostgreSQL 12 and 13

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Length 650 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL FREE CHAPTER 3. Getting to Know Your Cluster 4. Managing Users and Connections 5. Section 2: Interacting with the Database
6. Basic Statements 7. Advanced Statements 8. Window Functions 9. Server-Side Programming 10. Triggers and Rules 11. Partitioning 12. Section 3: Administering the Cluster
13. Users, Roles, and Database Security 14. Transactions, MVCC, WALs, and Checkpoints 15. Extending the Database - the Extension Ecosystem 16. Indexes and Performance Optimization 17. Logging and Auditing 18. Backup and Restore 19. Configuration and Monitoring 20. Section 4: Replication
21. Physical Replication 22. Logical Replication 23. Section 5: The PostegreSQL Ecosystem
24. Useful Tools and Extensions 25. Toward PostgreSQL 13 26. Other Books You May Enjoy

Exploring basic concepts

In PostgreSQL, there are two kinds of replication techniques:

  • Asynchronous replication: In asynchronous replication, the primary device (source) sends a continuous flow of data to the secondary one (target), without receiving any return code from the target. This type of copying has the advantage of speed, but it brings with it greater risks of data loss because the received data is not checked.
  • Synchronous replication: In synchronous replication, a source sends the data to a target, that is, the second server; at this point, the server sends back a code to verify the correctness of the data. If the check is successful, the transfer is completed.

Both methods have advantages and disadvantages, and in the Managing streaming replication section of this chapter, we will analyze them.

WAL

Let's briefly summarize what we saw in the chapter on MVCC and WAL: in that chapter, we saw how PostgreSQL stores data on disk using WAL; as we saw in Chapter 11, Transactions...

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