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SQL for Data Analytics

You're reading from   SQL for Data Analytics Harness the power of SQL to extract insights from data

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801812870
Length 540 pages
Edition 3rd Edition
Languages
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Authors (4):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
Jun Shan Jun Shan
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Jun Shan
Upom Malik Upom Malik
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Upom Malik
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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

Killing Queries

Sometimes, you have a lot of data or perhaps insufficient hardware resources, and a query just runs for a very long time. In such a situation, you may need to stop the query—perhaps so you can implement an alternative query to get the information you need, but without the delayed response. In this section, you are going to investigate how you can stop hanging or, at least, extremely long-running queries using a secondary PostgreSQL interpreter. The following are some of the commands that you will use to kill queries:

  • pg_sleep is a command that allows you to tell the SQL interpreter to essentially do nothing for a specified period as defined by the input to the function in seconds.
  • The pg_cancel_backend command causes the interpreter to end the query specified by the process ID (PID). The process will be terminated cleanly, allowing for appropriate resource cleanup. Clean termination should also be the first preference as it reduces the possibility...
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