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Apache Spark installation guides, performance tuning tips, general tutorials, etc.

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PySpark Read Multiple Lines Records from CSV

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access_time 7 days ago

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 ac...

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Schema Merging (Evolution) with Parquet in Spark and Hive

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access_time 3 months ago

Schema evolution is supported by many frameworks or data serialization systems such as Avro, Orc, Protocol Buffer and Parquet. With schema evolution, one set of data can be stored in multiple files with different but compatible schema. In Spark, Parquet data source can detect and merge sch...

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Spark Read from SQL Server Source using Windows/Kerberos Authentication

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access_time 3 months ago

In this article, I am going to show you how to use JDBC Kerberos authentication to connect to SQL Server sources in Spark (PySpark). I will use  Kerberos connection with principal names and password directly that requires  ...

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access_time 17 days ago

In my previous article about  Connect to SQL Server in Spark (PySpark) , I mentioned the ways t...

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access_time 10 months ago

In Spark, SparkContext.parallelize function can be used to convert Python list to RDD and then RDD can be converted to DataFrame object. The following sample code is based on Spark 2.x. In this page, I am going to show you how to convert the following list to a data frame: data = [(...

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access_time 11 months ago

This pages summarizes the steps to install the latest version 2.4.3 of Apache Spark on Windows 10 via Windows Subsystem for Linux (WSL). Prerequisites Follow either of the following pages to install WSL in a system or non-system drive on your Windows 10. ...

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access_time 2 years ago

Data partitioning is critical to data processing performance especially for large volume of data processing in Spark. Partitions in Spark won’t span across nodes though one node can contains more than one partitions. When processing, Spark assigns one task for each partition and each worker threa...

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access_time 3 years ago

In this page, I’m going to demonstrate how to write and read parquet files in Spark/Scala by using Spark SQLContext class. Reference What is parquet format? Go the following project site to understand more about parquet. ...

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access_time 2 years ago

From Spark 2.0, you can easily read data from Hive data warehouse and also write/append new data to Hive tables. This page shows how to operate with Hive in Spark including: Create DataFrame from existing Hive table Save DataFrame to a new Hive table Append data ...

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access_time 2 years ago

The page summarizes the steps required to run and debug PySpark (Spark for Python) in Visual Studio Code. Install Python and pip Install Python from the official website: https://...

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