I am new to Spark SQL. We are migrating data from SQL server to Databricks. I am using SPARK SQL . Can you please suggest how to achieve below functionality in SPARK sql for the below datefunctions. I can see datediff gives only days in spark sql.
DATEDIFF(YEAR,StartDate,EndDate) DATEDIFF(Month,StartDate,EndDate) DATEDIFF(Quarter,StartDate,EndDate)
As you have mentioned SparkSQL does support DATEDIFF
but for days only. I would also be careful as it seems the parameters are the opposite way round for Spark, ie
--SQL Server
DATEDIFF ( datepart , startdate , enddate )
--Spark
DATEDIFF ( enddate , startdate )
Spark does however support a similar function called months_between
which you could use in place of DATEDIFF( month ...
. This function also returns a decimal amount so optionally cast it to INT
for similar functionality to the
SELECT startDate, endDate,
DATEDIFF( endDate, startDate ) AS diff_days,
CAST( months_between( endDate, startDate ) AS INT ) AS diff_months
FROM yourTable
ORDER BY 1;
There are also year
and quarter
functions for determining the year and quarter of a date respectively. You could simply minus the years but quarters would be more tricky. It may be you have to 'do the math' or end up using a calendar table.