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MySQL Cookbook
book

MySQL Cookbook

by Paul DuBois
October 2002
Intermediate to advanced
1024 pages
27h 26m
English
O'Reilly Media, Inc.
Content preview from MySQL Cookbook

Date-Based Summaries

Problem

You want to produce a summary based on date or time values.

Solution

Use GROUP BY to categorize temporal values into bins of the appropriate duration. Often this will involve using expressions to extract the significant parts of dates or times.

Discussion

To put records in time order, you use an ORDER BY clause to sort a column that has a temporal type. If instead you want to summarize records based on groupings into time intervals, you need to determine how to categorize each record into the proper interval and use GROUP BY to group them accordingly.

Sometimes you can use temporal values directly if they group naturally into the desired categories. This is quite likely if a table represents date or time parts using separate columns. For example, the baseball1.com master ballplayer table represents birth dates using separate year, month, and day columns. To see how many ballplayers were born on each day of the year, perform a calendar date summary that uses the month and day values but ignores the year:

mysql> SELECT birthmonth, birthday, COUNT(*)
    -> FROM master
    -> WHERE birthmonth IS NOT NULL AND birthday IS NOT NULL
    -> GROUP BY birthmonth, birthday;
+------------+----------+----------+
| birthmonth | birthday | COUNT(*) |
+------------+----------+----------+
|          1 |        1 |       47 |
|          1 |        2 |       40 |
|          1 |        3 |       50 |
|          1 |        4 |       38 |
...
|         12 |       28 |       33 |
|         12 |       29 |       32 |
|         12 |       30 |       32 |
|         12 |       31 |       27 |
+------------+----------+----------+

A less fine-grained summary ...

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Publisher Resources

ISBN: 0596001452Catalog PageErrata