Convert AVRO to Parquet using Scala

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

The input AVRO file has been taken from: https://github.com/Teradata/kylo/blob/master/samples/sample-data/avro/userdata1.avro


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"

libraryDependencies += "com.databricks" %% "spark-avro" % "3.2.0"

The Scala program is provided below.

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

object AvroToParquetConverter extends App {

  System.setProperty("hadoop.home.dir","C:\\intellij.winutils")

  val spark = SparkSession.builder()
    .master("local")
    .appName("AvroToParquetConverter")
    .getOrCreate()

  val inputFile = "C:\\data\\data.avro"  val outputFile = "C:\\data\\out_data_avro2parquet"
  import spark.implicits._

  val df = spark    .read
    .format("com.databricks.spark.avro")
    .load(inputFile)

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

}

The converted Parquet file is shown below.



That's all!