dates = [("1","2019-07-01 12:01:19.111"),

    ("2","2019-06-24 12:01:19.222"),

    ("3","2019-11-16 16:44:55.406"),

    ("4","2019-11-16 16:50:59.406")

    ]

​

df = spark.createDataFrame(data=dates, schema=["id","input_timestamp"])

​

from pyspark.sql.functions import *

​

#Calculate Time difference in Seconds

df2=df.withColumn('from_timestamp',to_timestamp(col('from_timestamp')))\

  .withColumn('end_timestamp', current_timestamp())\

  .withColumn('DiffInSeconds',col("end_timestamp").cast("long") - col('from_timestamp').cast("long"))

df2.show(truncate=False)