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Choose a SQL book for the work you want to do and the database you use. A beginner’s guided project, a query reference, and a database-design critique serve different purposes. This guide compares three verifiable editions using publisher descriptions and tables of contents; it is not a claim that we completed or benchmarked every exercise in each book.
Choose by learning task
First identify your goal: learn querying from the beginning, analyze datasets, or recognize design and query mistakes in existing systems. Then check the book’s edition, dialect, prerequisites, sample chapter, code repository, and errata. A familiar title may have several editions with different examples.
Database features and setup instructions change. Use the book for its explanations and exercises, and check current official documentation when a command or environment differs. Avoid treating SQL dialects as interchangeable merely because a book discusses more than one database.
Practical SQL, second edition
Anthony DeBarros’s Practical SQL, second edition was published in 2022. The publisher describes PostgreSQL-based examples and an emphasis on exploring and explaining data. Its contents include joins, cleaning, dates, text, spatial data, and JSON. This makes it a candidate to inspect when your goal is applied analysis with PostgreSQL.
Read the sample chapter and try a small exercise before choosing it. Confirm that you can set up a compatible environment and understand the expected result. Do not assume every PostgreSQL example will run unchanged in MySQL or SQL Server.
Learning SQL, third edition
Alan Beaulieu’s Learning SQL, third edition is an introductory SQL text published in 2020. The publisher’s contents include creating and populating a MySQL database, querying, joins, and other SQL fundamentals. It is a candidate to inspect if you want a structured introduction and are comfortable using its stated environment.
Compare its chapter sequence with what you already know. If you can already solve basic joins and aggregations, inspect the sections that address your actual gaps rather than restarting solely because the title is popular.
SQL Antipatterns, Volume 1
Bill Karwin’s SQL Antipatterns, Volume 1 was published in 2022. Its publisher organizes the material around common database-design and programming mistakes; the examples use MySQL 8.0, with other databases discussed. Inspect it when you want to reason about design tradeoffs and recognize approaches that create maintenance or correctness problems.
It serves a different purpose from a first SELECT tutorial. For each pattern, ask what problem the proposed design solves, what assumptions it makes, and whether those assumptions match your system. Do not apply a design change to production simply because a chapter describes an alternative.
Use a small practice check while reading
This original PostgreSQL exercise tests whether you distinguish rows from observed values. It is not copied from any of the books.
WITH observations(group_name, amount) AS (
VALUES ('A', 10::numeric), ('A', NULL::numeric), ('B', 0::numeric)
)
SELECT group_name,
COUNT(*) AS rows_seen,
COUNT(amount) AS observed_amounts,
SUM(amount) AS observed_sum
FROM observations
GROUP BY group_name
ORDER BY group_name;
Group A has two rows, one observed amount, and an observed sum of 10. Group B has one row, one observed amount, and a sum of zero. A’s complete total is unknown because one amount is missing. Change all amounts in A to NULL and predict which counts change and why SUM becomes NULL.
Use this habit with a book’s examples: explain the output, change one assumption, and rerun. Keep a short note about the dialect and edge case. That turns reading into evidence of understanding.
Before buying or committing your study time
Check the current publisher page, sample material, availability, and terms. A library copy or sample chapter may be enough to judge whether the style and level fit. This selection does not claim a best seller is best for everyone, quote changing prices, or guarantee interview readiness. Choose one resource that meets your immediate goal and pair it with regular query practice.
