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Calling All Chocolatiers! Whipping Up Windows Automation with Chocolatey Central Management

Webinar from
Wednesday, 17 January 2024

We are delighted to announce the release of Chocolatey Central Management v0.12.0, featuring seamless Deployment Plan creation, time-saving duplications, insightful Group Details, an upgraded Dashboard, bug fixes, user interface polishing, and refined documentation. As an added bonus we'll have members of our Solutions Engineering team on-hand to dive into some interesting ways you can leverage the new features available!

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Chocolatey and Intune Overview

Webinar Replay from
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At Chocolatey Software we strive for simple, and teaching others. Let us teach you just how simple it could be to keep your 3rd party applications updated across your devices, all with Intune!

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Chocolatey For Business. In Azure. In One Click.

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Join James and Josh to show you how you can get the Chocolatey For Business recommended infrastructure and workflow, created, in Azure, in around 20 minutes.

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The Future of Chocolatey CLI

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Join Paul and Gary to hear more about the plans for the Chocolatey CLI in the not so distant future. We'll talk about some cool new features, long term asks from Customers and Community and how you can get involved!

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Hacktoberfest Tuesdays 2022

Livestreams from
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For Hacktoberfest, Chocolatey ran a livestream every Tuesday! Re-watch Cory, James, Gary, and Rain as they share knowledge on how to contribute to open-source projects such as Chocolatey CLI.

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Downloads:

12,825

Downloads of v 3.3.4:

566

Last Update:

08 Aug 2022

Package Maintainer(s):

Software Author(s):

  • Apache Software Foundation

Tags:

apache admin hadoop hdfs yarn cluster mapreduce namenode datanode

Hadoop

This is not the latest version of Hadoop available.

  • 1
  • 2
  • 3

3.3.4 | Updated: 08 Aug 2022

Downloads:

12,825

Downloads of v 3.3.4:

566

Maintainer(s):

Software Author(s):

  • Apache Software Foundation

Hadoop 3.3.4

This is not the latest version of Hadoop available.

  • 1
  • 2
  • 3

This Package Contains an Exempted Check

Not All Tests Have Passed


Validation Testing Passed


Verification Testing Passed

Details

Scan Testing Exemption for this package version only:

File too large to be scanned

Details
Learn More

Deployment Method: Individual Install, Upgrade, & Uninstall

To install Hadoop, run the following command from the command line or from PowerShell:

>

To upgrade Hadoop, run the following command from the command line or from PowerShell:

>

To uninstall Hadoop, run the following command from the command line or from PowerShell:

>

Deployment Method:

NOTE

This applies to both open source and commercial editions of Chocolatey.

1. Enter Your Internal Repository Url

(this should look similar to https://community.chocolatey.org/api/v2/)


2. Setup Your Environment

1. Ensure you are set for organizational deployment

Please see the organizational deployment guide

2. Get the package into your environment

  • Open Source or Commercial:
    • Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2/. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
    • You can also just download the package and push it to a repository Download

3. Copy Your Script

choco upgrade hadoop -y --source="'INTERNAL REPO URL'" --version="'3.3.4'" [other options]

See options you can pass to upgrade.

See best practices for scripting.

Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.

If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:


choco upgrade hadoop -y --source="'INTERNAL REPO URL'" --version="'3.3.4'" 
$exitCode = $LASTEXITCODE

Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
  Exit 0
}

Exit $exitCode

- name: Install hadoop
  win_chocolatey:
    name: hadoop
    version: '3.3.4'
    source: INTERNAL REPO URL
    state: present

See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.


chocolatey_package 'hadoop' do
  action    :install
  source   'INTERNAL REPO URL'
  version  '3.3.4'
end

See docs at https://docs.chef.io/resource_chocolatey_package.html.


cChocoPackageInstaller hadoop
{
    Name     = "hadoop"
    Version  = "3.3.4"
    Source   = "INTERNAL REPO URL"
}

Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.


package { 'hadoop':
  ensure   => '3.3.4',
  provider => 'chocolatey',
  source   => 'INTERNAL REPO URL',
}

Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.


4. If applicable - Chocolatey configuration/installation

See infrastructure management matrix for Chocolatey configuration elements and examples.

WARNING

This package is exempt from moderation. While it is likely safe for you, there is more risk involved.

Description

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

The project includes these modules:

  • Hadoop Common: The common utilities that support the other Hadoop modules.
  • Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.
  • Hadoop YARN: A framework for job scheduling and cluster resource management.
  • Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

Notes

The package sets the HADOOP_HOME environment variable and adds HADOOP_HOME\bin to the machine path.

The package by default will unzip to C:\Hadoop. This location can be changed, see below.

Package Parameters

The following package parameters can be set:

  • /unzipLocation - Unzip to a different path than default.

These parameters can be passed to the installer with the use of -params.
For example: choco install hadoop -params '"/unzipLocation:D:\Hadoop"'.

Please Note: This is an automatically updated package. If you find it is
out of date by more than a day or two, please contact the maintainer(s) and
let them know the package is no longer updating correctly.


tools\chocolateyinstall.ps1
$ErrorActionPreference = 'Stop';

$toolsDir       = "$(Split-Path -parent $MyInvocation.MyCommand.Definition)"
$hadoop_home    = "C:\Hadoop"
$mirrors        = 'https://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-3.3.4/hadoop-3.3.4.tar.gz'
$checksum32     = '6a483d1a0b123490ebd8df3f71b64eb39f333f78b95f090aeb58e433cbc2416d'

# d/l from closest mirror
$get_mirror_page = Invoke-WebRequest -Uri $mirrors -UseBasicParsing
$url32 = $get_mirror_page.links | Where-Object href -match '\.tar\.gz$' | Select-Object -First 1 -expand href

$pp = Get-PackageParameters
if ($pp.unzipLocation) {
    $hadoop_home = $pp.unzipLocation
    Write-Host "Param: Unzipping (installing) to $hadoop_home"
}

$packageArgs = @{
  packageName    = $env:ChocolateyPackageName
  unzipLocation = $toolsDir
  url           = $url32
  checksum      = $checksum32
  checksumType  = 'sha256'
  validExitCodes= @(0)
}

Install-ChocolateyZipPackage @packageArgs

# unzip tar
Get-ChocolateyUnzip -FileFullPath "$toolsDir\*.tar" -Destination $hadoop_home

Install-ChocolateyEnvironmentVariable `
    -VariableName "HADOOP_HOME" `
    -VariableValue "${hadoop_home}\${env:ChocolateyPackageName}-${env:chocolateyPackageVersion}" `
    -VariableType 'Machine'

Install-ChocolateyPath `
    -PathToInstall "%HADOOP_HOME%\bin" `
    -PathType 'Machine'

# Hadoop needs 8.3 path to find Java
$sp = New-Object -ComObject Scripting.FileSystemObject
$f = $sp.GetFolder($env:JAVA_HOME)

Install-ChocolateyEnvironmentVariable `
    -VariableName "JAVA_HOME" `
    -VariableValue $f.ShortPath `
    -VariableType 'User'

# don't need tar anymore
Remove-Item $toolsDir\*.tar -ErrorAction SilentlyContinue -Force
tools\chocolateyuninstall.ps1
$hadoop_home = $env:HADOOP_HOME

# remove from Path
$path = [Environment]::GetEnvironmentVariable("Path", 'Machine')
$newPath = ($path.Split(';') | Where-Object { $_ -notmatch '.*hadoop.*' }) -join ';'
[Environment]::SetEnvironmentVariable("Path", $newPath, 'Machine')


Install-ChocolateyEnvironmentVariable `
    -VariableName "HADOOP_HOME" `
    -VariableValue $null `
    -VariableType 'Machine'

Install-ChocolateyEnvironmentVariable `
    -VariableName "JAVA_HOME" `
    -VariableValue $null `
    -VariableType 'User'


Remove-Item $hadoop_home -Recurse -Force

Log in or click on link to see number of positives.

In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).

Chocolatey Pro provides runtime protection from possible malware.

Add to Builder Version Downloads Last Updated Status
Hadoop 3.3.5 632 Thursday, March 23, 2023 Approved
Hadoop 3.3.4 566 Monday, August 8, 2022 Exempted
Hadoop 3.3.3 239 Sunday, May 22, 2022 Exempted
Hadoop 3.3.2 310 Monday, March 7, 2022 Exempted
Hadoop 3.3.1 524 Wednesday, June 16, 2021 Exempted
Hadoop 3.3.0 1034 Friday, July 17, 2020 Approved
Hadoop 3.2.1 997 Wednesday, September 25, 2019 Approved
Hadoop 3.2.0 626 Wednesday, January 23, 2019 Approved
Hadoop 3.1.1 1033 Friday, August 10, 2018 Approved
Hadoop 3.1.0 691 Monday, April 9, 2018 Approved
Hadoop 3.0.1 338 Tuesday, March 27, 2018 Approved
Hadoop 3.0.0 543 Friday, December 15, 2017 Approved
Hadoop 2.9.0 1240 Tuesday, November 21, 2017 Approved
Hadoop 2.8.2 420 Monday, November 6, 2017 Approved
Hadoop 2.8.1 565 Monday, July 24, 2017 Approved
Hadoop 2.8.0 534 Saturday, April 1, 2017 Approved
Hadoop 2.7.3 791 Monday, February 27, 2017 Approved
Discussion for the Hadoop Package

Ground Rules:

  • This discussion is only about Hadoop and the Hadoop package. If you have feedback for Chocolatey, please contact the Google Group.
  • This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
  • The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
  • Tell us what you love about the package or Hadoop, or tell us what needs improvement.
  • Share your experiences with the package, or extra configuration or gotchas that you've found.
  • If you use a url, the comment will be flagged for moderation until you've been whitelisted. Disqus moderated comments are approved on a weekly schedule if not sooner. It could take between 1-5 days for your comment to show up.
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