SparkIntro

by keiraqz Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | SparkIntro Summary

SparkIntro is a Jupyter Notebook library. SparkIntro has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

SparkIntro

Support

Quality

Security

License

Reuse

Support

SparkIntro has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

SparkIntro has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SparkIntro is current.

Quality

SparkIntro has no bugs reported.

Security

SparkIntro has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SparkIntro does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

SparkIntro releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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SparkIntro Key Features

No Key Features are available at this moment for SparkIntro.

SparkIntro Examples and Code Snippets

No Code Snippets are available at this moment for SparkIntro.

Community Discussions

No Community Discussions are available at this moment for SparkIntro.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SparkIntro

Set the JAVA_HOME environment variable pointing to a Java installation. Note: If you don't have Java, you will need to download it, Java 7 or above prefered. OPTION 1: Download spark source code (will require Maven build manager). Click on: "Download Spark: spark-1.6.1.tgz". Unzip Spark to whatever directory you like. Add Spark Home to Sys env. OPTION 2: Download pre-built Spark via Hadoop version. Use hadoop version to determine which package type to download. Unzip the pre-built Spark (direct download make take longer for pre-built spark). The below assumes Hadoop 2.6 and newer - be sure to replace that version with your system's own version, if different. Add Spark Home to Sys env.
Set the JAVA_HOME environment variable pointing to a Java installation Run echo $JAVA_HOME. export JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_72.jdk/Contents/Home Note: If you don't have Java, you will need to download it, Java 7 or above prefered.
OPTION 1: Download spark source code (will require Maven build manager) Download spark: here Click on: "Download Spark: spark-1.6.1.tgz" Unzip Spark to whatever directory you like. cd ~/Downloads tar -xvzf spark-1.6.1.tgz -C ~ cd ~/spark-1.6.1 Add Spark Home to Sys env export SPARK_HOME=~/spark-1.6.1
Start Pyspark Shell cd $SPARK_HOME ./bin/pyspark

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: