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PostgreSQLでクエリ性能を改善する

中級スキルレベル

更新日 2025/01

PostgreSQLのクエリを最適化し、処理時間を大幅に短縮する方法を学びましょう。

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SQLProgramming

4時間

15 ビデオ

53 演習

4,300 XP

13,464

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コース説明

クエリが遅くて時間を無駄にしていませんか？経験豊富な同僚にクエリを共有するのをためらっていませんか？このコースでは、PostgreSQLのクエリを再構成して、実行時間を大幅に短縮する方法を学びます。オリンピック出場、各国の気候、国内総生産（GDP）に関する相互に関連するデータを題材に、フィルタリング方法の違いやサブクエリの活用がパフォーマンスにどのように影響するかを体験します。行指向データベースの特性を学びつつ、ハワイの火山が大気質に与える影響も見ていきます。クエリプランナーとSQLの演算順序を踏まえてクエリを組み直すことで、効率的なクエリで同僚を驚かせられるようになります。

前提条件

Data Manipulation in SQL

1

Bringing Together the Data

Bundle up as you dive into the Winter Olympics! You will learn how to join, subquery, and create temporary tables while finding which Olympic athletes brave sub-freezing temperatures to train. You will also learn about the query planner and how its functionality can guide your SQL structure to faster queries.

All about joins

Where are all the athletes from

Using different joins to explore athletes' regions

What about the weather

Subqueries and common table expressions (cte)

Filtering to freezing with a subquery

Where winter is white

Countries with subqueries or CTEs

Working with temporary tables

Canadians temp table

Analyze that temp table

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2

Minimizing Results and Decreasing the Load

Dig up those past algebra memories while learning the SQL order of operations. Find which countries "should" have the most athletes by looking at population and gross domestic product (GDP) while learning the best way to filter. You will also learn when your query aggregates (sums, counts, etc.) and how you can structure your query to optimize this process.

What you write is not what SQL sees

Order of operations impact on query structure

Group by and aggregations

Count and count distinct

Filtering in the WHERE clause

OR versus IN with athletes

Data type filters

EXPLAIN the filter query plan step

Filtering while joining

Where to place a region filter

Filtering in the join, where, and select

Aggregating with different data granularities

Aggregate before joining tables

South African trends

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3

Using Database Designed Properties

Zero in on the properties that improve database performance. Discover when your table is not a table but a view. Learn how your database's storage structure (row or column oriented) impacts your query structure. You will explore volcanic smog while using partitions and indexes to speed your queries.

Queries and tables and views, oh my

Data loading and storage

Finding the table type

Row-oriented storage and partitions

Row-oriented storage properties

Previewing a row-oriented table

Partitioning on location

Using and creating indexes

Finding the database indexes

Creating and using an index

Compare runtimes

Using column-oriented storage

Column-oriented storage properties

Using the information schema

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4

Assessing Query Performance

Learn the lingo of the Query Lifecycle and dive into the query planner. Explore how the query planner creates and optimizes the query plan. Find your next vacation locale by looking for countries with recent population growth while also seeing how a join impacts the query steps. Fine tune your optimization techniques by seeing how different filters speed your query times.

Query lifecycle and the planner

Exploring pg_tables

Basic EXPLAIN

Index scans

EXPLAIN the WHERE

A deeper dive into EXPLAIN

EXPLAIN parameters

Aggregating and sorting populations

Joining in the query plan

Query structure and query execution

Subqueries vs. CTEs

Why the difference?

Filtering impacts

Congratulations

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PostgreSQLでクエリ性能を改善する

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