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Downloads:

13,803

Downloads of v 3.4.1:

10

Last Update:

05 Nov 2024

Package Maintainer(s):

Software Author(s):

  • Apache Software Foundation

Tags:

apache admin hadoop hdfs yarn cluster mapreduce namenode datanode

Hadoop

Downloads:

13,803

Downloads of v 3.4.1:

10

Maintainer(s):

Software Author(s):

  • Apache Software Foundation

Hadoop

Legal Disclaimer: Neither this package nor Chocolatey Software, Inc. are affiliated with or endorsed by Apache Software Foundation. The inclusion of Apache Software Foundation trademark(s), if any, upon this webpage is solely to identify Apache Software Foundation goods or services and not for commercial purposes.

  • 1
  • 2
  • 3

Some Checks Have Failed or Are Not Yet Complete

Not All Tests Have Passed


Validation Testing Passed


Verification Testing Failed

Details

Scan Testing Pending

WARNING

This package was rejected on 10 Dec 2024. The reviewer chocolatey-ops has listed the following reason(s):

mkevenaar (maintainer) on 05 Nov 2024 18:18:48 +00:00:

User 'mkevenaar' (maintainer) submitted package.

chocolatey-ops (reviewer) on 05 Nov 2024 18:51:03 +00:00:

hadoop has passed automated validation. It may have or may still fail other checks like testing (verification).
NOTE: No required changes that the validator checks have been flagged! It is appreciated if you fix other items, but only Requirements will hold up a package version from approval. A human review could still turn up issues a computer may not easily find.

Guidelines

Guidelines are strong suggestions that improve the quality of a package version. These are considered something to fix for next time to increase the quality of the package. Over time Guidelines can become Requirements. A package version can be approved without addressing Guideline comments but will reduce the quality of the package.

  • The package script downloads a file outside of using built-in helpers. Scripts should use the built-in helpers to download files. More...

chocolatey-ops (reviewer) on 05 Nov 2024 21:00:35 +00:00:

hadoop has failed automated package testing (verification).
Please visit https://gist.github.com/choco-bot/c49c4357566f4b0754ae27cc3651d2da for details.
The package status will be changed and will be waiting on your next actions.

  • NEW! We have a test environment for you to replicate the testing we do. This can be used at any time to test packages! See https://github.com/chocolatey-community/chocolatey-test-environment
  • Please log in and leave a review comment if you have questions and/or comments.
  • If you see the verifier needs to rerun testing against the package without resubmitting (a issue in the test results), you can do that on the package page in the review section.
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  • Automated testing can also fail when a package is not completely silent or has pop ups (AutoHotKey can assist - a great example is the VeraCrypt package).
  • A package that cannot be made completely unattended should have the notSilent tag. Note that this must be approved by moderators.

chocolatey-ops (reviewer) on 25 Nov 2024 18:52:37 +00:00:

We've found hadoop v3.4.1 in a submitted status and waiting for your next actions. It has had no updates for 20 or more days since a reviewer has asked for corrections. Please note that if there is no response or fix of the package within 15 days of this message, this package version will automatically be closed (rejected) due to being stale.

Take action:

  • Log in to the site and respond to the review comments.
  • Resubmit fixes for this version.
  • If the package version is failing automated checks, you can self-reject the package.

If your package is failing automated testing, you can use the chocolatey test environment to manually run the verification and determine what may need to be fixed.

Note: We don't like to see packages automatically rejected. It doesn't mean that we don't value your contributions, just that we can not continue to hold packages versions in a waiting status that have possibly been abandoned. If you don't believe you will be able to fix up this version of the package within 15 days, we strongly urge you to log in to the site and respond to the review comments until you are able to.

chocolatey-ops (reviewer) on 10 Dec 2024 18:54:18 +00:00:

Unfortunately there has not been progress to move hadoop v3.4.1 towards an approved status within 15 days after the last review message, so we need to close (reject) the package version at this time. If you want to pick this version up and move it towards approval in the future, use the contact site admins link on the package page and we can move it back into a submitted status so you can submit updates.

Status Change - Changed status of package from 'submitted' to 'rejected'.

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 here that the package is no longer updating correctly.


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
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-3.4.1/hadoop-3.4.1.tar.gz'
$checksum32     = '9ad5487833996dfe5514e756f4391029c90529fd22e8d002fd3dd0c14c04ba46'

# 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

No results available for this package. We are building up results for older packages over time so expect to see results. If this is a new package, it should have results within a day or two.

Add to Builder Version Downloads Last Updated Status
Hadoop 3.3.5 645 Thursday, March 23, 2023 Approved
Hadoop 3.3.4 580 Monday, August 8, 2022 Exempted
Hadoop 3.3.3 250 Sunday, May 22, 2022 Exempted
Hadoop 3.3.2 340 Monday, March 7, 2022 Exempted
Hadoop 3.3.1 544 Wednesday, June 16, 2021 Exempted
Hadoop 3.3.0 1197 Friday, July 17, 2020 Approved
Hadoop 3.2.1 1034 Wednesday, September 25, 2019 Approved
Hadoop 3.2.0 639 Wednesday, January 23, 2019 Approved
Hadoop 3.1.1 1079 Friday, August 10, 2018 Approved
Hadoop 3.1.0 705 Monday, April 9, 2018 Approved
Hadoop 3.0.1 349 Tuesday, March 27, 2018 Approved
Hadoop 3.0.0 559 Friday, December 15, 2017 Approved
Hadoop 2.9.0 1249 Tuesday, November 21, 2017 Approved
Hadoop 2.8.2 430 Monday, November 6, 2017 Approved
Hadoop 2.8.1 573 Monday, July 24, 2017 Approved
Hadoop 2.8.0 547 Saturday, April 1, 2017 Approved
Hadoop 2.7.3 819 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.
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  • 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.
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