![]() This works because the expression (DATE_FORMAT(date1, '%m%d') < DATE_FORMAT(date2, '%m%d')) is true if date1 is "earlier in the year" than date2 and because in mysql, true = 1 and false = 0, so the adjustment is simply a matter of subtracting the "truth" of the comparison. You can view EDUCBA’s recommended articles for more information.Here's the expression that also caters for leap years: YEAR(date1) - YEAR(date2) - (DATE_FORMAT(date1, '%m%d') < DATE_FORMAT(date2, '%m%d')) We hope that this EDUCBA information on “MySQL DATEDIFF” was beneficial to you. The above columns have omitted the time portion of the data, and the table has only calculated the date difference from those columns. The above query gets the duration of time given to the customer DUE_DATE – INITIATION_DATE. We can obtain the duration of the due time given to the customers.Ĭode: SELECT *, datediff( DUE_DATE, INITIATION_DATE ) AS Duration FROM DUE_CUSTOMERS The last record has a negative value, meaning the customer has not yet breached the due date. Here the negative values mean that the customer has breached the due date. If the values are negative, it shows that the customer has already breached the expected with the mentioned days.Ĭode: SELECT *, datediff(DUE_DATE, CURDATE()) AS BREACHED_COUNT_OF_DAYS FROM DUE_CUSTOMERS / * - DateDiff - * / ![]() The positive values represent that the customer still has those many days to breach the due. Here we are planning to get the customers who have breached the due_date. The function supports units of years, quarters, months, weeks, days, hours, minutes, seconds, milliseconds, microseconds, and nanoseconds. For DATEDIFF: dateortimeexpr1 and dateortimeexpr2 can be a date, time, or timestamp. Now let us perform the DATEDIFF function on the mentioned table: For both DATEDIFF and minus sign: Output values can be negative, for example, -12 days. INSERT INTO DUE_CUSTOMERS VALUES ( 8, ' 12:00:00', ' 12:00:00' ) select * from DUE_CUSTOMERS Let us insert the below rows into the above table:Ĭode: INSERT INTO DUE_CUSTOMERS VALUES ( 1, ' 12:00:00', ' 12:00:00' ) This can be calculated as CURDATE() – DUE_DATE. The above table consists of the data about the customers whose due date is pending. ![]() Now let us see how the DATEDIFF works on the table columns. Here we have mentioned the in-built function in the argument, and it returns the system’s current date and calculates with the second argument, and returns the output. Now, let us use the CURDATE () function and try to get the date difference.Ĭode: select DATEDIFF( CURDATE(), ' 11:00:00') AS "DATE DIFFERENCE" Here only the date portion is calculated, and the time part is omitted. It returns 30 even after we perform as the DateDiff will omit time. The starting date argument has a time portion, and the lateral argument doesn’t have a time portion. Here the above query returns the date difference between them. The screenshot is for the same.Ĭode: select DATEDIFF( ' 12:00:78', '') AS "DATE DIFFERENCE" The starting date argument doesn’t have a time portion, and the lateral argument has a time portion. The screenshot is for the same.Ĭode: select DATEDIFF( '', ' 11:00:00') AS "DATE DIFFERENCE" ![]() The difference between startdate and enddate is expressed in days. It considers only the date portion and excludes the time part. To count the difference between dates in MySQL, use the DATEDIFF(enddate, startdate) function. The above query calculates the difference in dates and returns 30. Now let us see how the DATEDIFF works in MySQL.Ĭode: select DATEDIFF( ' 00:00:00', ' 11:00:00') AS "DATE DIFFERENCE" Here above syntax is used to find the difference between specified column dates. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |