getting the current timestamp of each row of dataframe using Spark / Java

Question

I want to get the current timestamp of each row.

I use the following code

dataframe.withColumn("current_date",current_timestamp());

But current_timestamp() is evaluated prior to serialisation so I will always get same date.

How can I evaluate current_timestamp() for each row of dataframe.

I need your help.

Thank you.

Answer 1

Try this -

    df2.withColumn("current_date", expr("reflect('java.lang.System', 'currentTimeMillis')"))
      .show(false)

    /**
      * +-----+------+-------------+
      * |class|gender|current_date |
      * +-----+------+-------------+
      * |1    |m     |1594137247247|
      * |1    |m     |1594137247247|
      * |1    |f     |1594137247247|
      * |2    |f     |1594137247272|
      * |2    |f     |1594137247272|
      * |3    |m     |1594137247272|
      * |3    |m     |1594137247272|
      * +-----+------+-------------+
      */

    df2.withColumn("current_date", expr("reflect('java.time.LocalDateTime', 'now')"))
      .show(false)

    /**
      * +-----+------+-----------------------+
      * |class|gender|current_date           |
      * +-----+------+-----------------------+
      * |1    |m     |2020-07-07T21:24:07.377|
      * |1    |m     |2020-07-07T21:24:07.378|
      * |1    |f     |2020-07-07T21:24:07.378|
      * |2    |f     |2020-07-07T21:24:07.398|
      * |2    |f     |2020-07-07T21:24:07.398|
      * |3    |m     |2020-07-07T21:24:07.398|
      * |3    |m     |2020-07-07T21:24:07.398|
      * +-----+------+-----------------------+
      */
// you can convert current_date to timestamp by casting it to "timestamp"