Something like this will do the trick assuming the column name is timestamp_s. This will create a new data frame with a new timestamp column added to it. The new timestamp format is defined by this string: "EEE MMM dd HH:mm:ss ZZZZZ yyyy" val df_second = df_First.withColumn("timestampZ", unix_timestamp($"timestamp_s","EEE MMM dd HH:mm:ss ZZZZZ yyyy").cast(TimestampType)).drop($"timestamp_s")
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