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If you want to install extra dependencies for a specific component, you can install it as below: # Spark SQL pip install pyspark [ sql ] # pandas API on Spark pip install pyspark [ pandas_on_spark ] plotly # to plot your data, you can install plotly together.
- Quickstart
This is a short introduction to pandas API on Spark, geared...
- Testing PySpark
Testing PySpark¶. This guide is a reference for writing...
- API Reference
API Reference¶. This page lists an overview of all public...
- Quickstart
- Prerequisites
- Download Binary Package
- Unpack The Binary Package
- Setup Environment Variables
- Setup Spark Default Configurations
- Run Spark Interactive Shell
- Run with Built-In Examples
- Spark Context Web UI
- Enable Hive Support
- Spark History Server
Windows Subsystem for Linux
If you are planning to configure Spark 3.0 on WSL, follow this guide to setup WSL in your Windows 10 machine:
Hadoop 3.3.0
This article will use Spark package without pre-built Hadoop. Thus we need to ensure a Hadoop environment is setup first. If you choose to download Spark package with pre-built Hadoop, Hadoop 3.3.0 configuration is not required. Follow one of the following articles to install Hadoop 3.3.0 on your UNIX-alike system: 1. Install Hadoop 3.3.0 on Linux 2. Install Hadoop 3.3.0 on Windows 10 using WSL
OpenJDK 1.8
Java JDK 1.8 needs to be available in your system. In the Hadoop installation articles, it includes the steps to install OpenJDK. Run the following command to verify Java environment: Now let’s start to configure Apache Spark 3.0.0 in a UNIX-alike system.
Visit Downloadspage on Spark website to find the download URL. For me, the closest location is: http://apache.mirror.amaze.com.au/spark/spark-3.0.0/spark-3.0.0-bin-without-hadoop.tgz. Download the binary package using the following command:
Unpack the package using the following command: The Spark binaries are unzipped to folder ~/hadoop/spark-3.0.0.
Setup SPARK_HOME environment variables and also add the bin subfolder into PATH variable. We also need to configure Spark environment variable SPARK_DIST_CLASSPATHto use Hadoop Java class path. Run the following command to change .bashrcfile: Add the following lines to the end of the file:
Run the following command to create a Spark default config file: Edit the file to add some configurations use the following commands: Make sure you add the following line: There are many other configurations you can do. Please configure them as necessary.
Run the following command to start Spark shell: The interface looks like the following screenshot: By default, Spark master is set as local[*] in the shell.
Run Spark Pi example via the following command: The output looks like the following: In this website, I’ve provided many Spark examples. You can practice following those guides.
When a Spark session is running, you can view the details through UI portal. As printed out in the interactive session window, Spark context Web UI available at http://localhost:4040. The URL is based on the Spark default configurations. The port number can change if the default port is used. The following is a screenshot of the UI:
If you’ve configured Hive in WSL, follow the steps below to enable Hive support in Spark. Copy the Hadoop core-site.xml and hdfs-site.xml and Hive hive-site.xml configuration files into Spark configuration folder: And then you can run Spark with Hive support (enableHiveSupport function): For more details, please refer to this page: Read Data from H...
Run the following command to start Spark history server: Open the history server UI (by default: http://localhost:18080/) in browser, you should be able to view all the jobs submitted.
Choose a package type: Pre-built for Apache Hadoop 3.3 and later Pre-built for Apache Hadoop 3.3 and later (Scala 2.13) Pre-built with user-provided Apache Hadoop Source Code. Download Spark: spark-3.5.3-bin-hadoop3.tgz. Verify this release using the 3.5.3 signatures, checksums and project release KEYS by following these procedures.
Before installing PySpark, make sure that the following software is installed on your Linux machine: Python 3.6 or later. Java Development Kit (JDK) 8 or later. Apache Spark. 1. Install Java Development Kit (JDK) First, update the package index by running: sudo apt update Next, install the default JDK using the following command: sudo apt ...
- Jagdeesh
Oct 25, 2024 · Spark SQL is Apache Spark's module for working with structured data based on DataFrames.
Dec 27, 2020 · This article provides step by step guide to install the latest version of Apache Spark 3.0.1 on a UNIX alike system (Linux) or Windows Subsystem for Linux (WSL). These instructions can be applied to Ubuntu, Debian, Red Hat, OpenSUSE, etc.
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Jun 22, 2016 · libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" % "1.4.1" Where the 2.10 artifact is being required. You are also mixing Spark versions instead of using a consistent version:
