Nov 27, 2014 · Spark SQL does not support date type, so things like duration become tough to calculate. That said, in Spark everything is RDD. So that’s a hidden weapon which can always be used when higher level functionality is limited. Let’s take a case where we are getting two dates in String format from either a text file or Parquet file.
Dec 28, 2017 · In my last blog we discussed on JSON format file parsing in Apache Spark.In this post we will try to explain the XML format file parsing in Apache Spark.XML format is also one of the important and commonly used file format in Big Data environment.Before deep diving into this further lets understand few points regarding…
I have a date pyspark dataframe with a string column in the format of MM-dd-yyyy and I am attempting to convert this into a date column. I tried: df.select(to_date(df.STRING_COLUMN).alias('new_date')).show() and I get a string of nulls. Can anyone help?
Dec 19, 2019 · DateTime functions will always be tricky but very important irrespective of language or framework. In this blog post, we review the DateTime functions available in Apache Spark.
Nov 17, 2019 · In case if you want to convert string to date format use to_date() function. And here is another example to convert Timestamp to custom string pattern format . The complete example can be downloaded from GitHub