For instance, we can specify MONTH as the unit in the first parameter: It accepts two TIMESTAMP or DATETIME values (DATE values will auto-convert in MySQL) as well as the unit of time we want to base the difference on. ROUND(DATEDIFF(end_date, start_date)/7, 0) AS weeksoutįor other time periods, the TIMESTAMPDIFF() function may be of help. Rounding is also employed to show whole weeks in the results:
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For example, we can divide by 7 to obtain the number of weeks between two dates. We can also use an earlier date for the first argument and it will return a negative value: Calculating Periods Other than Daysįor periods other than days, we need to do a little conversion.
![navicat for mysql navicat for mysql](https://www.navicat.com/images/product_screenshot/Screenshot_Navicat_16_MySQL_Mac_07_Code_Completion.png)
Notice that, in the above example, DATEDIFF() is telling us that the first date is 10 days later than the second one. Here's a simple example using Navicat for MySQL 16: It accepts two date values and returns the number of days between them. In MySQL, the way to do that is to employ the DATEDIFF() function. It is extremely common to perform queries that determine how long ago something happened. Obtaining the Difference Between Two Dates Now any record whose date matches ours will be returned. One simple workaround is to convert the Datetime values to Dates by using the DATE() function: Hence, if we try to select customer records that were created on a specific date, we can't simply supply a date value: For example, the Sakila Sample Database stores the customer table's create_date column as a Datetime: One of the first challenges database practitioners encounter when trying to query with dates is that a good deal of temporal data is stored as DateTime and Timestamp data types.
NAVICAT FOR MYSQL SERIES
In this final installment in this series on Dates and Times in MySQL, we'll be putting everything we've learned thus far into practice by writing SELECT queries to obtain date-related insights into our data. Working with Dates and Times in MySQL - Part 5 by Robert Gravelle Querying by Date