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MySQL 8 Cookbook

You're reading from  MySQL 8 Cookbook

Product type Book
Published in Jan 2018
Publisher
ISBN-13 9781788395809
Pages 446 pages
Edition 1st Edition
Languages
Author (1):
Karthik Appigatla Karthik Appigatla
Profile icon Karthik Appigatla
Toc

Table of Contents (20) Chapters close

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. MySQL 8 - Installing and Upgrading 2. Using MySQL 3. Using MySQL (Advanced) 4. Configuring MySQL 5. Transactions 6. Binary Logging 7. Backups 8. Restoring Data 9. Replication 10. Table Maintenance 11. Managing Tablespace 12. Managing Logs 13. Performance Tuning 14. Security Index

Window functions


By using window functions, for each row from a query, you can perform a calculation using rows related to that row. This is accomplished by using the OVER and WINDOW clauses.

Here is the list of calculations that you can do:

  • CUME_DIST(): Cumulative distribution value
  • DENSE_RANK(): Rank of the current row within its partition, without gaps
  • FIRST_VALUE(): The value of the argument from the first row of the window frame
  • LAG(): The argument value from the row lagging the current row within partition
  • LAST_VALUE(): Value of argument from the first row of window frame
  • LEAD(): Value of argument from row leading current row within partition
  • NTH_VALUE(): Argument value from n-th row of window frame
  • NTILE(): Bucket number of the current row within its partition
  • PERCENT_RANK(): Percentage rank value
  • RANK(): Rank of the current row within its partition, with gaps
  • ROW_NUMBER(): Number of the current row within its partition

How to do it...

Window functions can be used in various ways. Let's get to...

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