Write and read parquet files in Python / Spark

visibility 9,753 access_time 2y languageEnglish

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 also use PySpark to read or write parquet files.

Code snippet

from pyspark.sql import SparkSession

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

spark = SparkSession.builder.appName(appName).master(master).getOrCreate()

df = spark.read.format("csv").option("header", "true").load("Sales.csv")

df.write.parquet("Sales.parquet")

df2 = spark.read.parquet("Sales.parquet")
df2.show()
info Last modified by Administrator 2y copyright This page is subject to Site terms.
Related series

Please log in or register to comment.

account_circle Log in person_add Register

Log in with external accounts

timeline Stats
Page index 10.01
local_offer Tags