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    Spark date_format() - Convert Timestamp to String

    Spark date_format() - Convert Timestamp to String

    Problem: How to convert the Spark Timestamp column to String on DataFrame column?

    Solution: Using <em>date_format</em>() Spark SQL date function, we can convert Timestamp to the String format. Spark support all Java Data formatted patterns for conversion. In this article, we will see a few examples in the Scala language.

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    1. Complete example of converting Timestamp to String

    In this example, I am using Spark current_timestamp() to get the current system timestamp and then we convert this to different string patterns.

    
    package com.aistudylabs.spark.dataframe.functions.datetime
    
    import org.apache.spark.sql.SparkSession
    import org.apache.spark.sql.functions.{current_date, current_timestamp, date_format}
    
    object TimestampToString extends App {
    
      val spark:SparkSession = SparkSession.builder()
        .master("local")
        .appName("AIStudyLabs.com")
        .getOrCreate()
      spark.sparkContext.setLogLevel("ERROR")
    
      import spark.sqlContext.implicits._
    
      Seq(1).toDF("seq").select(
        current_timestamp().as("current_date"),
        date_format(current_timestamp(),"yyyy MM dd").as("yyyy MM dd"),
        date_format(current_timestamp(),"MM/dd/yyyy hh:mm").as("MM/dd/yyyy"),
        date_format(current_timestamp(),"yyyy MMM dd").as("yyyy MMMM dd"),
        date_format(current_timestamp(),"yyyy MMMM dd E").as("yyyy MMMM dd E")
      ).show(false)
    
    }
    

    Yields below output:

    
    // Output:
    +------------+----------+----------------+------------+--------------------+
    |current_date|yyyy MM dd|MM/dd/yyyy      |yyyy MMMM dd|yyyy MMMM dd E      |
    +------------+----------+----------------+------------+--------------------+
    |2019-11-17  |2019 11 17|11/17/2019 02:44|2019 Nov 17 |2019 November 17 Sun|
    +------------+----------+----------------+------------+--------------------+
    

    Happy Learning !!

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