How to read write Parquet file data in Apache Spark | Parquet | Apache Spark

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#Apache #Spark #CCA175 #Parquet
In this video we will learn how to work with Parquet file format in Apache Spark

⏰TIMESTAMPS
00:00 Objectives
00:25 What is Parquet file format
01:13 How to read Parquet file as a Dataframe in Apache Spark
01:55 How to apply filter function in Spark dataframe
02:50 How to select few columns from the Dataframe
03:33 How to save Dataframe to HDFS in parquet file format
06:22 How to save Dataframe to HDFS in parquet file format with gzip compression

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  1. Proedu
  2. Apache Spark
  3. Parquet file format
  4. Using Parquet data in Spark
  5. DataFrame
  6. read Parquet file as a Dataframe
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Комментарии
Автор

very nicely explained..thanks for the content

nilgiripaiya
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Thank you so much! Very good explanation!

venkatk
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Hi, I have searched online a lot but for partitionBy example I see same example of country or gender.if a column name Brand having elements like- H & M, Zara, Tommy Hilfiger can be partitioned in scala?And the other columns being description, price, index all in CSV format.Please suggest if i have to do something additionally to csv file before converting it into parquet file is the error i am getting->error: Caused by: Task failed while writing rows. error:Caused by: java.io.IOException: Mkdirs failed to create file:/path

vilw
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Why there is 2 partition . What is by default partition when we write file .?

pratapranvir
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Can you have idea same thing from Java

vamshikrishna