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pysparkapache-spark-sql

getting the last day of the month in a timestamp format


I have a column with a timestamp from which I'm extracting the last day of each month using last_day(), but the function gives me only the date part of the timestamp, and when I use to_timestamp() within it, it zeroes out the time values which in this case are very relevant because that determines which values comes has higher precedence.

Is there a way to get the last day of the month of a timestamp in a timestamp format without losing the time values?

Currently, I have a regular SQL query using SparkSQL as follows:

 spark.sql("SELECT DISTINCT max(col1) AS col1, \
                  col2, col3,\
                  max(col4) AS col4,\
                  last_day(col5_date) as col5_date\
                  FROM table \
                  GROUP BY col1,  col2,\
                  col3, col4, col5").registerTempTable("table1")

The above gives me the following result:

Col1 col2 col3 col4 col5
val1 val2 val3 val4 2022-11-30

And when I tried the to_timestamp function on the Last_day() function this is what I get:

Col1 col2 col3 col4 col5
val1 val2 val3 val4 2022-12-31 00:00:00

However, the data does have the time data in it, like this: 2022-10-28 12:32:.... Is there any way I can preserve the time in the timestamp when retrieving the last day of the month?


Solution

  • Method-1:

    Try with make_timestamp() function and pass year+month+date+hours+minutes+secs to the function.

    Explanation:

    make_timestamp(year(last_day(ts)), -- get year from last_day()
    month(last_day(ts)),-- get month from last_day()
    day(last_day(ts)),-- get day from last_day()
    hour(ts),-- get hour from timestamp column
    minute(ts),-- get minute from timestamp column
    second(ts))-- get second from timestamp column
    

    Example:

    with cte as (
      select current_timestamp() as ts
    ) select *,make_timestamp(year(last_day(ts)),month(last_day(ts)),day(last_day(ts)),hour(ts),minute(ts),second(ts)) as col5 from cte
    #ts                             col5
    #2023-05-19T22:12:26.027+0000   2023-05-31T22:12:26.000+0000
    

    Method-2:

    With using combination of to_timestamp + last_day + date_format functions we are going to get the HH:mm:ss from the timestamp and add it to last_day() function.

    with cte as (
      select current_timestamp() as ts
    ) select *,to_timestamp(concat_ws(" ",last_day(ts),date_format(ts,"HH:mm:ss"))) as col5 from cte
    #ts                             col5
    #2023-05-19T22:18:08.710+0000   2023-05-31T22:18:08.000+0000