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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Aggregate and hash aggregate

In this recipe, we will be discussing aggregate and hash aggregate mechanisms in PostgreSQL.

Getting ready

Aggregate is a node type that only evaluates the aggregate operators. Some of the aggregate operators are SUM, MIN, MAX, and so on.

Hash aggregate is a node type that requires an aggregate operator, and a group key column. In general, we see this node type being utilized during the GROUP BY, DISTINCT, or set operations.

How to do it…

Aggregate

  1. To demonstrate the aggregates behavior, let's query the benchmarsql as follows:
    benchmarksql=# EXPLAIN SELECT max(i_price) FROM bmsql_item;
                                   QUERY PLAN                               
    ------------------------------------------------------------------------
    
    Aggregate
      (cost=2549.00..2549.01 rows=1 width=6)
       ->  Seq Scan on bmsql_item  (cost=0.00..2299.00 rows=100000
              width=6)
    (2 rows)
    
  2. From the preceding plan, as expected we got the aggregate node type, which is followed...
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