Parse, Load and Write Files in Spark

This series includes articles about how to read and write files in Spark incl. plain text file, CSV, TSV, XML, Parquet, Avro, Orc, etc. 

Parse, Load and Write Files in Spark

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CSV is a commonly used data format. Spark provides rich APIs to load files from HDFS as data frame.  This page provides examples about how to load CSV from HDFS using Spark. If you want to read a local CSV file in Python, refer to this page  Python: Load / Read Multiline CSV File   ...

PySpark Read Multiple Lines Records from CSV

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CSV is a common format used when extracting and exchanging data between systems and platforms. Once CSV file is ingested into HDFS, you can easily read them as DataFrame in Spark. However there are a few options you need to pay attention to especially if you source file: Has records across ...

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This article shows you how to read and write XML files in Spark. Create a sample XML file named test.xml with the following content: <?xml version="1.0"?> <data> <record id="1"> <rid>1</rid> <name>Record 1</name> ...

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Spark provides rich APIs to save data frames to many different formats of files such as CSV, Parquet, Orc, Avro, etc. CSV is commonly used in data application though nowadays binary formats are getting momentum. In this article, I am going to show you how to save Spark data frame as CSV file in ...

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Spark has easy fluent APIs that can be used to read data from JSON file as DataFrame object. 

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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. 

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In my previous post, I demonstrated how to write and read parquet files in Spark/Scala. The parquet file destination is a local folder. Write and Read Parquet Files in Spark/Scala In this page, I am going to demonstrate how to write and read parquet files in HDFS. import ...

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In this page, I’m going to demonstrate how to write and read parquet files in Spark/Scala by using Spark SQLContext class. Go the following project site to understand more about parquet. https://parquet.apache.org/ If you have not installed Spark, follow this page to setup: Install Big Data ...

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This page provides an example to load text file from HDFS through SparkContext in Zeppelin (sc). The details about this method can be found at: https://spark.apache.org/docs/2.2.1/api/java/org/apache/spark/SparkContext.html#textFile-java.lang.String-int- ...

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