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Write and read parquet files in Scala / Spark

visibility 873 comment 0 access_time 3 years ago

Parquet is columnar store format published by Apache. It's commonly used in Hadoop ecosystem. There are many programming language APIs that have been implemented to support writing and reading parquet files. 

You can easily use Spark to read or write Parquet files. 

Code snippet

import org.apache.spark.sql.SparkSession

val appName = "Scala Parquet Example"
val master = "local"

/*Create Spark session with Hive supported.*/
val spark = SparkSession.builder.appName(appName).master(master).getOrCreate()
val df = spark.read.format("csv").option("header", "true").load("Sales.csv")
/*Write parquet file*/
df.write.parquet("Sales.parquet")
val df2 = spark.read.parquet("Sales.parquet")
df2.show()
info Last modified by Raymond 3 years ago copyright This page is subject to Site terms.

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