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SQL for Data Analytics

You're reading from   SQL for Data Analytics Perform fast and efficient data analysis with the power of SQL

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Length 386 pages
Edition 1st Edition
Languages
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Authors (3):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
Author Profile Icon Matt Goldwasser
Matt Goldwasser
Upom Malik Upom Malik
Author Profile Icon Upom Malik
Upom Malik
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics FREE CHAPTER 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth – a Case Study Appendix

8. Performant SQL

Activity 10: Query Planning

Solution:

  1. Open PostgreSQL and connect to the sqlda database:
    C:\> psql sqlda
  2. Use the EXPLAIN command to return the query plan for selecting all available records within the customers table:
    sqlda=# EXPLAIN SELECT * FROM customers;

    This query will produce the following output from the planner:

    Figure 8.75: Plan for all records within the customers table

    The setup cost is 0, the total query cost is 1536, the number of rows is 50000, and the width of each row is 140. The cost is actually in cost units, the number of rows is in rows, and the width is in bytes.

  3. Repeat the query from step 2 of this activity, this time limiting the number of returned records to 15:
    sqlda=# EXPLAIN SELECT * FROM customers LIMIT 15;

    This query will produce the following output from the planner:

    Figure 8.76: Plan for all records within the customers table with the limit as 15

    Two steps are involved in the query, and the limiting step costs 0.46 units...

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