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    PostgreSQL Performance: Inside the Query Planner and EXPLAIN

    20分
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    2026年5月10日
    TechnologyEducationProductivity

    Learn to optimize PostgreSQL performance by mastering the query planner. Discover how to use EXPLAIN and EXPLAIN ANALYZE to diagnose SQL and interpret plan nodes.

    PostgreSQL Performance: Inside the Query Planner and EXPLAIN

    PostgreSQL Performance: Inside the Query Planner and EXPLAINのベスト引用

    “

    EXPLAIN shows you the map, but EXPLAIN ANALYZE shows you how the trip actually went. It really is like having X-ray vision for your SQL.

    ”

    このオーディオレッスンはBeFreedコミュニティメンバーが作成しました

    質問を入力

    Make a deep dive on https://www.postgresql.org/docs/18/using-explain.html#USING-EXPLAIN-ANALYZE

    ホストの声
    Lenaplay
    Milesplay
    学習スタイル
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    知識ソース
    PostgreSQL: Documentation: 18: 14.1. Using EXPLAIN
    link
    https://www.postgresql.org/docs/18/using-explain.html#USING-EXPLAIN-ANALYZE
    Query Optimization: EXPLAIN ANALYZE Deep Dive - Library
    link
    https://www.grizzlypeaksoftware.com/library/query-optimization-explain-analyze-deep-dive-1mzml0fn
    EXPLAIN / EXPLAIN ANALYZE — The Complete Guide to PostgreSQL Query Plans
    link
    https://postgresmac.com/blog/explain-analyze-postgres
    EXPLAIN ANALYZE in PostgreSQL and how to interpret it
    link
    https://www.cybertec-postgresql.com/en/how-to-interpret-postgresql-explain-analyze-output/
    EXPLAIN ANALYZE: A Guided Tour of Your PostgreSQL Query Plan | Gold Lapel
    link
    https://goldlapel.com/how-to/explain-analyze-guide
    EXPLAIN ANALYZE or EXPLAIN (ANALYZE, BUFFERS)? | PostgresAI
    link
    https://postgres.ai/docs/postgres-howtos/performance-optimization/query-tuning/explain-analyze-buffers

    よくある質問

    The PostgreSQL query planner is a logical system designed to choose the most efficient path for executing a query based on your data's structure. Rather than treating the database as a black box, understanding the planner allows you to see how PostgreSQL handles cost estimates and row counts. By analyzing the plan nodes, you can move beyond guessing and start diagnosing performance issues with precision, ensuring your SQL performance tuning is based on logic rather than trial and error.

    While both tools are essential for PostgreSQL performance, they serve different purposes. EXPLAIN acts like a map, showing the query planner's intended path and cost estimates before execution. In contrast, EXPLAIN ANALYZE provides X-ray vision by showing how the trip actually went in the real world. It executes the query to reveal actual row counts and how the database handled memory and disk buffers, allowing you to see if the planner's best guess was accurate.

    Yes, using EXPLAIN is a superpower for anyone working with PostgreSQL who wants to optimize database indexing. Instead of simply adding indexes and hoping for the best, you can use the query planner to see exactly how your data is being accessed. By interpreting the cryptic plan nodes, you can determine if an index is being used effectively or if the planner is choosing a different path, allowing for more strategic and impactful performance tuning.

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    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    著名人の読書リスト
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    受賞作品コレクション
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    注目のトピック
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年別ベストブック
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    学習ツール
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    注目の著者
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
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    Learn SQL with SQL Server 2025 and SSMS

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    2 h 40 m•4 エピソード

    重要なポイント

    1

    The Art of Seeing the Plan

    2

    Deconstructing the Tree of Nodes

    2:16
    2:31
    2:49
    2:59
    3:15
    3:19
    3:40
    3:46
    4:00
    4:13
    4:27
    3

    The Mystery of Cost and Row Estimates

    4:45
    4:57
    2:59
    5:28
    5:47
    6:04
    6:17
    6:32
    6:44
    4

    Beyond the Map with EXPLAIN ANALYZE

    7:01
    7:13
    7:28
    7:39
    7:54
    2:59
    8:28
    8:42
    9:02
    9:15
    5

    The Logic of Joins and Materialization

    9:28
    9:40
    9:55
    2:59
    10:23
    10:31
    10:51
    10:56
    11:12
    11:33
    6

    Diving into Buffers and I/O Performance

    11:50
    12:09
    12:25
    2:59
    13:00
    10:56
    13:22
    13:39
    13:54
    7

    Sorting, Hashing, and the Memory Trap

    14:08
    14:22
    3:19
    14:43
    14:46
    15:03
    2:59
    15:24
    15:34
    15:51
    16:05
    8

    The Practical Playbook for Query Tuning

    16:22
    16:33
    16:50
    17:10
    17:24
    17:44
    17:59
    18:14
    18:29
    9

    Closing Reflections on the Planner's Art

    18:43
    19:01
    19:16
    2:59
    19:51
    20:09
    20:20
    20:28

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