SQL Server 2022 Query Performance Tuning Troubleshoot and Optimize Query Performance Sixth Edition (Grant Fritchey)（Z-Library）

【One-Line Pitch】 A systematic, hands-on guide to diagnosing and fixing slow SQL Server queries, rewritten for SQL Server 2022 with modern tooling like Query Store and automatic tuning. Best for DBAs and T-SQL developers who already write queries and now need to make them fast. 【Book Arc】 - **Opening (~0%–15%)**: Frames query tuning as a repeatable process rather than a bag of tricks—defining "good enough," establishing baselines, and cataloging the usual suspects (weak indexes, stale statistics, bad T-SQL, problematic plans). Introduces the measurement toolkit: execution plans, SET STATISTICS TIME/IO, DMVs, Query Store, and Extended Events. - **Early (~15%–35%)**: Moves into the mechanics of plans and statistics—how to read an execution plan, how rowstore and nonindexed-column statistics are built and analyzed, and why cardinality estimates drive plan quality. This is the conceptual core that later chapters assume. - **Middle (~35%–60%)**: Covers recompilation control (plan forcing, query hints, plan guides, hint forcing) and index architecture, including rowstore vs. columnstore indexes, their benefits, and their overhead. Shifts from "why is it slow" toward "how do I design it right." - **Late (~60%–85%)**: Turns to concurrency and cost: reducing transaction cost via logging and locking, blocking and blocked processes (ACID, lock types, isolation levels, capturing blocking), deadlock causes and solutions, and cursor overhead with recommendations. - **Ending (~85%–100%)**: Modern features and consolidation—memory-optimized OLTP tables and natively compiled procedures, automatic index management, and a closing query tuning methodology spanning database design, constraints, index best practices, and configuration settings like memory and cost threshold for parallelism. 【Key Takeaways】 - **Tuning is a process, not a one-off fix** (Opening): the book opens by insisting on baselines, comparison points, and a definition of "good enough" before touching anything—without these you cannot tell improvement from noise. - **Statistics and cardinality estimates are the root of most plan problems** (Early): inaccurate or missing statistics and skewed data distribution mislead the optimizer, so understanding statistics headers and analysis is prerequisite to fixing plans. - **Measurement tooling has modernized** (Early): Extended Events, DMVs, Query Store, and execution-plan QueryTimeStats replace older Profiler-centric workflows; the book walks through creating sessions, targets, and causality tracking. - **Plan instability is controllable** (Middle): recompilation, parameter sniffing, plan forcing, query hints, and plan guides are presented as levers—each with trade-offs rather than as universal cures. - **Index design is where you prevent problems** (Middle): rowstore and columnstore indexes carry both benefit and overhead; the book treats index architecture as a design decision, not an afterthought. - **Concurrency costs are tunable** (Late): logging and locking overhead, blocking, isolation levels, and deadlocks are covered with capture techniques (T-SQL, Extended Events blocked_process_report, deadlock graphs) and concrete reduction recommendations. - **Cursors and row-by-row logic carry measurable overhead** (Late): the book weighs default result sets against cursors and offers recommendations rather than blanket bans. - **Modern SQL Server features can do part of the work** (Ending): memory-optimized OLTP tables, natively compiled procedures, and automatic index management are positioned as complements to—not replacements for—human tuning judgment. 【Reading Tips】 - Read the opening process chapter slowly; the baseline-and-measure discipline is what makes the rest of the book usable rather than a catalog of fixes. - Deep-read the statistics/cardinality and execution-plan chapters (Early); skim the tool-setup walkthroughs if you already use Extended Events and Query Store daily. - Treat the Middle chapters on hints, plan guides, and forcing as reference material—consult when a specific plan problem appears rather than memorizing syntax. - If you are primarily a developer, prioritize the design-oriented Ending methodology (constraints, index best practices, configuration settings) and the T-SQL best-practice guidance; DBAs should weight the blocking/deadlock chapters more heavily. - Keep the book beside a real slow query: each technique is far more memorable when applied to an actual plan you can capture and compare. 【Coverage Limits】 This guide is synthesized from the book's front matter, table of contents, and stratified excerpts; specific code samples, benchmark numbers, and chapter-level arguments beyond the listed topics are not covered here.