Convert CSV to PARQUET using Scala

In this article we will see how to convert a CSV file to an PARQUET 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 CSVToParquetConverter extends App {
  val spark = SparkSession.builder()
    .master("local")
    .appName("CSVToParquetConverter")
    .getOrCreate()

  val inputFile = "C:\\data\\data.csv"  val outputFile = "C:\\data\\out_data_csv2parquet"
  val df = spark    .read
    .format("csv")
    .option("header", "true")
    .load(inputFile)

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

The converted Parquet file is shown below.


That's all!