From e75d99818dd3940be997520e64db8c9e3b207e39 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Tue, 21 May 2024 07:05:26 +0200 Subject: Merging upstream version 15.7. Signed-off-by: Daniel Baumann --- doc/src/sgml/html/parallel-query.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'doc/src/sgml/html/parallel-query.html') diff --git a/doc/src/sgml/html/parallel-query.html b/doc/src/sgml/html/parallel-query.html index 8d1c60a..ea62bbb 100644 --- a/doc/src/sgml/html/parallel-query.html +++ b/doc/src/sgml/html/parallel-query.html @@ -1,5 +1,5 @@ -Chapter 15. Parallel Query
Chapter 15. Parallel Query
Prev UpPart II. The SQL LanguageHome Next

Chapter 15. Parallel Query

Table of Contents

15.1. How Parallel Query Works
15.2. When Can Parallel Query Be Used?
15.3. Parallel Plans
15.3.1. Parallel Scans
15.3.2. Parallel Joins
15.3.3. Parallel Aggregation
15.3.4. Parallel Append
15.3.5. Parallel Plan Tips
15.4. Parallel Safety
15.4.1. Parallel Labeling for Functions and Aggregates

+Chapter 15. Parallel Query

Chapter 15. Parallel Query
Prev UpPart II. The SQL LanguageHome Next

Chapter 15. Parallel Query

Table of Contents

15.1. How Parallel Query Works
15.2. When Can Parallel Query Be Used?
15.3. Parallel Plans
15.3.1. Parallel Scans
15.3.2. Parallel Joins
15.3.3. Parallel Aggregation
15.3.4. Parallel Append
15.3.5. Parallel Plan Tips
15.4. Parallel Safety
15.4.1. Parallel Labeling for Functions and Aggregates

PostgreSQL can devise query plans that can leverage multiple CPUs in order to answer queries faster. This feature is known as parallel query. Many queries cannot benefit from parallel query, either @@ -12,4 +12,4 @@ few rows to the user will typically benefit most. This chapter explains some details of how parallel query works and in which situations it can be used so that users who wish to make use of it can understand what to expect. -

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14.5. Non-Durable Settings Home 15.1. How Parallel Query Works
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Prev Up Next
14.5. Non-Durable Settings Home 15.1. How Parallel Query Works
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