PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries (Paperback)
暫譯: PostgreSQL 查詢優化：構建高效查詢的終極指南 (平裝本)

Dombrovskaya, Henrietta, Novikov, Boris, Bailliekova, Anna

PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries (Paperback)
  • 出版商: Apress
  • 出版日期: 2021-04-23
  • 定價: $1,800
  • 售價: 8.0 折 $1,440
  • 語言: 英文
  • 頁數: 319
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484268849
  • ISBN-13: 9781484268841
  • 相關分類: PostgreSQL、SQL

    • 立即出貨(限量) (庫存=1)

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商品描述

Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine's point of view, and know how to think like the database optimizer.

The book begins with a discussion of what a performant system is and progresses to measuring performance and setting performance goals. It introduces different classes of queries and optimization techniques suitable to each, such as the use of indexes and specific join algorithms. You will learn to read and understand query execution plans along with techniques for influencing those plans for better performance. The book also covers advanced topics such as the use of functions and procedures, dynamic SQL, and generated queries. All of these techniques are then used together to produce performant applications, avoiding the pitfalls of object-relational mappers.

 

What You Will Learn

  • Identify optimization goals in OLTP and OLAP systems
  • Read and understand PostgreSQL execution plans
  • Distinguish between short queries and long queries
  • Choose the right optimization technique for each query type
  • Identify indexes that will improve query performance
  • Optimize full table scans
  • Avoid the pitfalls of object-relational mapping systems
  • Optimize the entire application rather than just database queries

 

Who This Book Is For
IT professionals working in PostgreSQL who want to develop performant and scalable applications, anyone whose job title contains the words "database developer" or "database administrator" or who is a backend developer charged with programming database calls, and system architects involved in the overall design of application systems running against a PostgreSQL database

商品描述(中文翻譯)

撰寫優化查詢。本書幫助您撰寫執行快速且準時交付結果的查詢。您將學到查詢優化並不是由一小群神秘的術士所操控的黑暗藝術。任何有動力的專業人士都可以從一開始就學會撰寫高效的查詢，並能夠優化現有的查詢。您將學會從資料庫引擎的角度來看待撰寫查詢的過程，並知道如何像資料庫優化器一樣思考。

本書首先討論什麼是高效能系統，然後進一步測量性能並設定性能目標。它介紹了不同類型的查詢和適合每種查詢的優化技術，例如使用索引和特定的聯接算法。您將學會閱讀和理解查詢執行計劃，以及影響這些計劃以獲得更好性能的技術。本書還涵蓋了進階主題，如函數和程序的使用、動態 SQL 和生成的查詢。所有這些技術將一起使用，以產生高效能的應用程式，避免物件關聯映射器的陷阱。

您將學到的內容：

- 確定 OLTP 和 OLAP 系統中的優化目標
- 閱讀和理解 PostgreSQL 執行計劃
- 區分短查詢和長查詢
- 為每種查詢類型選擇合適的優化技術
- 確定能改善查詢性能的索引
- 優化全表掃描
- 避免物件關聯映射系統的陷阱
- 優化整個應用程式，而不僅僅是資料庫查詢

本書適合對象：
在 PostgreSQL 工作的 IT 專業人士，想要開發高效能和可擴展的應用程式，任何職稱中包含「資料庫開發人員」或「資料庫管理員」的人，或是負責編寫資料庫調用的後端開發人員，以及參與整體設計的系統架構師，這些應用系統運行於 PostgreSQL 資料庫上。

作者簡介

Henrietta Dombrovskaya is a database researcher and developer with over 35 years of academic and industrial experience. She holds a PhD in computer science from the University of Saint Petersburg, Russia. At present, she is Associate Director of Databases at Braviant Holdings, Chicago, Illinois. She is an active member of the PostgreSQL community, a frequent speaker at the PostgreSQL conference, and a local organizer of the Chicago PostgreSQL User Group. Her research interests are tightly coupled with practice and are focused on developing efficient interactions between applications and databases. She is a winner of the "Technologist of the Year" 2019 award of the Illinois Technology Association.
Boris Novikov is currently a professor in the Department of Informatics at National Research University Higher School of Economics in Saint Petersburg, Russia. He graduated from Leningrad University's School of Mathematics and Mechanics. He has worked for Saint Petersburg University for a number of years and moved to his current position in January, 2019. His research interests are in a broad area of information management and include several aspects of design, development, and tuning of databases, applications, and database management systems. He also has interests in distributed scalable systems for stream processing and analytics.
Anna Bailliekova is Senior Data Engineer at Zendesk. Previously, she built ETL pipelines, data warehouse resources, and reporting tools as a team lead on the Division Operations team at Epic. She has also held analyst roles on a variety of political campaigns and at Greenberg Quinlan Rosner Research. She received her undergraduate degree cum laude with College Honors in political science and computer science from Knox College in Galesburg, Illinois.

作者簡介(中文翻譯)

亨麗葉塔·多姆布羅夫斯卡亞是一位資料庫研究員和開發者，擁有超過35年的學術和工業經驗。她在俄羅斯聖彼得堡大學獲得計算機科學博士學位。目前，她是位於伊利諾伊州芝加哥的Braviant Holdings資料庫副總監。她是PostgreSQL社群的活躍成員，經常在PostgreSQL會議上發表演講，並擔任芝加哥PostgreSQL使用者群組的地方組織者。她的研究興趣與實踐緊密結合，專注於開發應用程式與資料庫之間的高效互動。她是2019年伊利諾伊科技協會頒發的「年度技術專家」獎得主。

鮑里斯·諾維科夫目前是俄羅斯聖彼得堡國立研究大學高等經濟學院資訊學系的教授。他畢業於列寧格勒大學數學與力學學院。他在聖彼得堡大學工作多年，並於2019年1月轉至目前的職位。他的研究興趣涵蓋資訊管理的廣泛領域，包括資料庫、應用程式和資料庫管理系統的設計、開發和調整的幾個方面。他還對用於流處理和分析的分散式可擴展系統感興趣。

安娜·貝利科娃是Zendesk的資深數據工程師。之前，她在Epic的部門運營團隊擔任團隊負責人，負責建立ETL管道、數據倉儲資源和報告工具。她還曾在多個政治運動和Greenberg Quinlan Rosner Research擔任分析師。她在伊利諾伊州蓋爾斯堡的諾克斯學院獲得政治科學和計算機科學的榮譽學士學位。

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