Fill missing dates in date range in MySQL
In some cases, you may encounter tables with missing dates within a date range. This may disrupt the data analysis and plotting process. To bridge this gap, MySQL provides a solution to fill in missing dates with specified numeric values.
Let us consider the example of a table that records scores associated with a specific date. If some dates are omitted, our goal is to complete them with placeholder values (e.g. 0) to get a contiguous range.
Meeting challenges
MySQL lacks native recursive functionality, but we can use the NUMBERS table trick to generate date sequences based on auto-incrementing columns.
Generate date sequence
<code class="language-sql">DROP TABLE IF EXISTS `numbers`; CREATE TABLE `numbers` ( `id` int(10) unsigned NOT NULL auto_increment, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1;</code>
<code class="language-sql">INSERT INTO `numbers` ( `id` ) VALUES ( NULL ); -- 添加足够多的空行以覆盖所需的日期范围</code>
This will generate as many rows as the date range requires. (Note: The number of inserted rows needs to be adjusted according to the date range. Simply inserting NULL
cannot automatically generate enough rows)
<code class="language-sql">SELECT DATE_ADD('2010-06-06', INTERVAL `n`.`id` - 1 DAY) FROM `numbers` `n` WHERE DATE_ADD('2010-06-06', INTERVAL `n`.`id` -1 DAY) <= '2010-06-14';</code>
Replace the dates "2010-06-06" and "2010-06-14" with your desired start and end dates in YYYY-MM-DD format.
Fill in missing dates
<code class="language-sql">SELECT `x`.`timestamp` AS `timestamp`, COALESCE(`y`.`score`, 0) AS `cnt` FROM (SELECT DATE_FORMAT(DATE_ADD('2010-06-06', INTERVAL `n`.`id` - 1 DAY), '%Y-%m-%d') AS `timestamp` FROM `numbers` `n` WHERE DATE_ADD('2010-06-06', INTERVAL `n`.`id` - 1 DAY) <= '2010-06-14') x LEFT JOIN `y` ON STR_TO_DATE(`y`.`date`, '%Y-%m-%d') = `x`.`timestamp`;</code>
Replace y
with your actual data table and adjust the date format accordingly. (It is recommended to use a unified YYYY-MM-DD
format to avoid problems caused by format conversion)
By executing this query, you get the complete set of dates in the specified range, where missing values are filled with the specified 0 value. (Note: numbers
The table needs to be pre-populated with enough rows to ensure that the entire date range is covered.)
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