Convert CSV to ORC using Scala

In this article we will see how to convert a CSV file to an ORC file using a Spark Dataframe using Scala.

The input text file is shown below.



The SBT library dependencies are shown below for reference.

scalaVersion := "2.11.12"

libraryDependencies += "org.apache.spark" %% "spark-core" % "2.3.0"

libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.3.0"

The Scala program is provided below.

import org.apache.spark.sql.{SaveMode, SparkSession}

object CSVToORCConverter extends App {
  val spark = SparkSession.builder()
    .master("local")
    .appName("CSVToORConverter")
    .config("spark.sql.orc.impl", "native")
    .getOrCreate()

  val inputCSVFile = "C:\\data\\data.csv"  
  val outputORCFile = "C:\\data\\out_data.orc"
  
  val df = spark    .read
    .format("csv")
    .option("header", "true")
    .load(inputCSVFile)

  df    .write
    .mode(SaveMode.Overwrite)
    .option("header","true")
    .orc(outputORCFile)
}

The converted ORC file is shown below.


That's all!