Convert ORC to Parquet using Scala

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

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 ORCToParquetConverter extends App {
  val spark = SparkSession.builder()
    .master("local[*]")
    .appName("ParquetToORCConverter")
    .config("spark.sql.orc.impl", "native")
    .getOrCreate()

  import spark.implicits._

  val inputFile = "C:\\data\\data.orc"  val outputFile = "C:\\data\\out_data_orc2parquet"
  val df = spark    .read
    .format("orc")
    .option("header", "true")
    .option("inferSchema", "true")
    .load(inputFile)

  df    .write
    .mode(SaveMode.Overwrite)
    .option("header","true")
    .parquet(outputFile)

}

The converted file is shown below.

That's all!