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Mastering PostgreSQL 17
Mastering PostgreSQL 17

Mastering PostgreSQL 17: Elevate your database skills with advanced deployment, optimization, and security strategies , Sixth Edition

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Mastering PostgreSQL 17

Understanding Transactions and Locking

Now that we’ve been introduced to PostgreSQL 17 and all the new shiny features it brings to the table, we want to focus our attention on the next important topic. Locking is a vital concept for any kind of database. It is not enough to understand how locking works just to write proper or better applications – it is also essential from a performance point of view and, therefore, proper locking behavior will directly translate to an excellent user experience. Without handling locks properly, your applications might not only be slow – they might also behave in very unexpected ways (for example, timeouts, unpredictable results, and a lot more). In my opinion, locking is the key to performance. Why is that the case? There is no slower form of execution than waiting on something. Even more CPUs will not speed up waiting. Therefore, understanding locking and transactions is important for administrators and developers alike.

In...

Working with PostgreSQL transactions

PostgreSQL provides you with highly advanced transaction machinery that offers countless features to developers and administrators alike. In this section, we will look at the basic concept of transactions. The first important thing to know is that, in PostgreSQL, everything is a transaction. If you send a simple query to the server, it is already a transaction. Here is an example:

test=# SELECT now(), now();
              now              |              now
-------------------------------+-------------------------------
 2024-05-24 12:59:33.594603+02 | 2024-05-24 12:59:33.594603+02
(1 row)

In this case, the SELECT statement will be a separate transaction. If the same command is executed again, different timestamps will be returned.

...

Understanding basic locking

In this section, you will learn about basic locking mechanisms. The goal is to understand how locking works in general and how to get simple applications right.

To show you how things work, we will create a simple table. For demonstrative purposes, I will add one row to the table using a simple INSERT command:

test=# CREATE TABLE  t_test (id int);
CREATE TABLE
test=# INSERT INTO t_test VALUES (0);
INSERT 0 1

The first important thing is that tables can be read concurrently. Many users reading the same data at the same time won’t block each other. This allows PostgreSQL to handle thousands of users without any problems.

The question now is what happens if reads and writes occur at the same time? Here is an example. Let’s assume that the table contains one row and id = 0:

Transaction 1

Transaction 2

BEGIN;

...

Making use of FOR SHARE and FOR UPDATE

Sometimes, data is selected from the database, then some processing happens in the application, and finally, some changes are made back on the database side. This is a classic example of SELECT FOR UPDATE.

Here is an example that shows the way SELECT is often executed in the wrong way:

BEGIN;
SELECT * FROM  invoice WHERE  processed = false;
** application magic  will  happen here  **
UPDATE invoice SET processed = true  ...
COMMIT;

The problem here is that two people might select the same unprocessed data. Changes that are made to these processed rows will then be overwritten. In short, a race condition will occur.

To solve this problem, developers can make use of SELECT FOR UPDATE. Here’s how it can be used. The following example will show a typical scenario:

BEGIN;
SELECT * FROM invoice WHERE processed = false FOR UPDATE;
** application magic  will ...

Understanding transaction isolation levels

Up until now, you have seen how to handle locking, as well as some basic concurrency. In this section, you will learn about transaction isolation. To me, this is one of the most neglected topics in modern software development. Only a small fraction of software developers are actually aware of this issue, which, in turn, leads to mind-boggling bugs.

Here is an example of what can happen:

...

Transaction 1

Transaction 2

BEGIN;

SELECT sum(balance) FROM t_account;

BEGIN;

User will see 300

INSERT INTO t_account (balance) VALUES (100);

COMMIT;

SELECT sum(balance) FROM t_account;

User will see 400

Observing deadlocks and similar issues

Deadlocks are an important issue and can happen in every database. Basically, a deadlock will happen if two transactions have to wait on each other.

In this section, you will see how this can happen. Let’s suppose we have a table containing two rows:

CREATE TABLE t_deadlock (id int);
INSERT INTO t_deadlock VALUES (1), (2);

The following example shows what can happen:

...

Transaction 1

Transaction 2

BEGIN;

BEGIN;

UPDATE t_deadlock SET id = id * 10 WHERE id = 1;

UPDATE t_deadlock SET id = id * 10 WHERE id = 2;

UPDATE t_deadlock SET id = id * 10 WHERE id = 2;

Waiting on transaction 2

UPDATE t_deadlock SET id = id * 10 WHERE id = 1;

Utilizing advisory locks

PostgreSQL has highly efficient and sophisticated transaction machinery that is capable of handling locks in a really fine-grained and efficient way. A few years ago, people came up with the idea of using this code to synchronize applications with each other. Thus, advisory locks were born.

When using advisory locks, it is important to mention that they won’t go away on COMMIT as normal locks do. Therefore, it is really important to make sure that unlocking is done properly and in a totally reliable way.

If you decide to use an advisory lock, what you really lock is a number. So, this isn’t about rows or data; it is really just a number. Here’s how it works:

Transaction 1

Transaction 2

BEGIN;

SELECT pg_advisory_lock(15);

SELECT pg_advisory_lock...

Optimizing storage and managing cleanup

Transactions are an integral part of the PostgreSQL system. However, transactions come with a small price tag attached. As we’ve already shown in this chapter, sometimes, concurrent users will be presented with different data. Not everybody will get the same data returned by a query. In addition to this, DELETE and UPDATE are not allowed to actually overwrite data, since ROLLBACK would not work. If you happen to be in the middle of a large DELETE operation, you cannot be sure whether you will be able to use COMMIT or not. In addition to this, data is still visible while you perform the DELETE operation, and sometimes, data is even visible once your modification has long since finished.

Consequently, this means that cleanup has to happen asynchronously. A transaction cannot clean up its own mess, and any COMMIT/ROLLBACK operation might be too early to take care of dead rows.

The solution to this problem is VACUUM. The following code...

Summary

In this chapter, you learned about transactions, locking and its logical implications, and the general architecture the PostgreSQL transaction machinery can have for storage, concurrency, and administration. You saw how rows are locked, and some of the features (such as advisory locks, concurrency, and a lot more) that are available in PostgreSQL.

In Chapter 3, Making Use of Indexes, you will learn about one of the most important topics in database work – indexing. You will also learn about the PostgreSQL query optimizer, as well as various types of indexes and their behavior.

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Key benefits

  • Optimize queries and performance for PostgreSQL installations
  • Secure databases with advanced access controls and encryption
  • Master replication, backups, and disaster recovery strategies
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Starting with new features introduced in PostgreSQL 17, the sixth edition of this book provides comprehensive insights into advanced database management, helping you elevate your PostgreSQL skills to an expert level. Written by Hans-Jürgen Schönig, a PostgreSQL expert with over 25 years of experience and the CEO of CYBERTEC PostgreSQL International GmbH, this guide distills real-world expertise from supporting countless global customers. It guides you through crucial aspects of professional database management, including performance tuning, replication, indexing, and security strategies. You’ll learn how to handle complex queries, optimize execution plans, and enhance user interactions with advanced SQL features such as window functions and JSON support. Hans equips you with practical approaches for managing database locks, transactions, and stored procedures to ensure peak performance. With real-world examples and expert solutions, you'll also explore replication techniques for high availability, along with troubleshooting methods to detect and resolve bottlenecks, preparing you to tackle everyday challenges in database administration. By the end of the book, you'll be ready to deploy, secure, and maintain PostgreSQL databases efficiently in production environments.

Who is this book for?

This book is for database administrators, PostgreSQL developers, and IT professionals who want to implement advanced functionalities and tackle complex administrative tasks using PostgreSQL 17. A foundational understanding of PostgreSQL and core database concepts is essential, along with familiarity with SQL. Prior experience in database administration will enhance your ability to leverage the advanced techniques presented in this book.

What you will learn

  • Deploy and manage PostgreSQL in production environments
  • Improve database throughput and ensure speedy responses from PostgreSQL
  • Utilize indexes, partitions, and full-text search
  • Handle transactions, locking, and concurrency issues
  • Secure PostgreSQL with encryption and access controls
  • Implement replication for high availability
  • Get to grips with handling redundancy and data safety
  • Fix the most common issues and real-world problems faced by PostgreSQL users
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Table of Contents

15 Chapters
Chapter 1: What is New in PostgreSQL 17 Chevron down icon Chevron up icon
Chapter 2: Understanding Transactions and Locking Chevron down icon Chevron up icon
Chapter 3: Making Use of Indexes Chevron down icon Chevron up icon
Chapter 4: Handling Advanced SQL Chevron down icon Chevron up icon
Chapter 5: Log Files and System Statistics Chevron down icon Chevron up icon
Chapter 6: Optimizing Queries for Good Performance Chevron down icon Chevron up icon
Chapter 7: Writing Stored Procedures Chevron down icon Chevron up icon
Chapter 8: Managing PostgreSQL Security Chevron down icon Chevron up icon
Chapter 9: Handling Backup and Recovery Chevron down icon Chevron up icon
Chapter 10: Making Sense of Backups and Replication Chevron down icon Chevron up icon
Chapter 11: Deciding on Useful Extensions Chevron down icon Chevron up icon
Chapter 12: Troubleshooting PostgreSQL Chevron down icon Chevron up icon
Chapter 13: Migrating to PostgreSQL Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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