Mastering PostgreSQL. Accelerate Your Weekend Projects and Seamlessly Scale to Millions 2026 (Denis Magda, Jimmy Angelakos)（Z-Library）

【One-Line Pitch】 A curated Manning learning path that teaches you to use PostgreSQL as a full modern platform—not just a relational store—so you can ship a weekend project and still scale it toward millions of users. Best for developers, DBAs, and data practitioners who already know basic SQL and want to use Postgres "well, to its full extent." 【Book Arc】 - **Opening (~0%–10%)**: Frames Postgres as a general-purpose platform and sets up the practical environment (a Docker-based Postgres instance) plus a sample music-streaming dataset used throughout the early chapters. - **Early (~10%–32%)**: Modern SQL fundamentals—CTEs for readable query decomposition, data-modifying CTEs and their concurrency/visibility semantics, and recursive queries for hierarchical data like song play sequences. - **Middle (~32%–48%)**: Window functions for ranking, running totals, and lag-lead analysis, then a shift into Postgres full-text search: tokenization, normalization, dictionaries, and the built-in parser. - **Late (excerpts do not cover)**: The table of contents points to data-type pitfalls (TIMESTAMP, CHAR(n), VARCHAR(n), MONEY, SERIAL, XML) and table/index design mistakes (inheritance, partitioning, wrong index types), but the excerpts stop before the detailed treatment. - **Ending (excerpts do not cover)**: Scaling to millions, performance tuning, and the remaining chapters are not represented in the provided excerpts. 【Key Takeaways】 - **Modern SQL goes far beyond the relational model** (Early): features added after SQL-92—arrays, JSON, composite types, CTEs, window functions, recursion—let Postgres handle unstructured and semi-structured data too. - **CTEs are a readability and structuring tool, not just syntax sugar** (Early): they break complex queries into manageable pieces, and Postgres may fold or optimize them; you can force materialization when needed. - **Data-modifying CTEs execute concurrently on the same snapshot** (Early): changes made by one CTE are not visible to sibling CTEs unless you chain them by reference—a subtle correctness trap worth internalizing. - **Recursive queries model hierarchical data cleanly** (Early): the song-sequence example shows how to walk tree-like structures and carry accumulated columns (arrays, running totals) through recursion steps. - **Window functions unlock ranking and running calculations** (Middle): aggregates like sum(), avg(), min(), count() can run in window mode, and specialized functions like rank() support lag-lead analysis over partitioned frames. - **Full-text search is a built-in Postgres capability** (Middle): text is preprocessed into lexemes via tokenization and normalization, with dictionaries (simple, english_stem) handling stemming and stop-word removal. - **Data type and index design mistakes are a first-class concern** (Late): the book explicitly targets improper type usage and table/index pitfalls as sources of performance and correctness problems—though the excerpts only list the topics, not the fixes. 【Reading Tips】 - **Deep-read the CTE and recursive-query sections**: the concurrency/visibility behavior of data-modifying CTEs is the kind of detail that causes real bugs and is easy to skim past. - **Run the examples**: the book assumes a Docker Postgres instance and a streaming dataset; hands-on execution makes the window-function and full-text-search material stick. - **Skim the setup chapter if you already have Postgres running**, but keep the sample schema handy since later examples depend on it. - **Treat the table-of-contents topics (data types, partitioning, index types) as a checklist** to revisit once you reach the later chapters, since the excerpts don't cover their solutions. - **Use EXPLAIN ANALYZE** when experimenting with CTEs and window functions to see how Postgres rewrites and optimizes your queries. 【Coverage Limits】 This guide is based on stratified excerpts covering roughly the first half of the book—modern SQL, CTEs, recursion, window functions, and full-text search basics. The later chapters on data types, table/index design, partitioning, and scaling to millions are only visible through the table of contents and are not summarized here.