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Details

• Generic
• Individual
• Ansible
• PS DSC

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Deployment Method: Individual Install, Upgrade, & Uninstall

• Install
• Upgrade
• Uninstall

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

>

To upgrade Hadoop, run the following command as a consequence of the order contour or from PowerShell:

>

To eliminate Hadoop, dash the resulting command from the command line or from PowerShell:

>

Deployment Method:

1. Enter Someone’s Internal Storage Url

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

2. Development One’s Environment

1. Ensure you are set with reference to business deployment

Please see the organizational deployment guide

You can also just download the package and push it to a repository Download

Option 2: Internalized Package (Reliable, Scalable)

• Open Source

  • Download whose package:

    Install
  • Follow manual internalization instructions
• Package Internalizer (C4B)
  • Run: (additional options) choco download hadoop –internalize –source=https://community.chocolatey.org/api/v2/
  • For package and dependencies run: choco push –source="’INTERNAL REPO URL’"
  • Automate package internalization

3. Copy Your Script

choco upgrade hadoop -y –source="’INTERNAL REPO URL’" [other options]

See options you can pass to upgrade.

See best practices for scripting.

If a reader do use a PowerShell script, use the following to ensure bad exit classifications are conveyed as failures:

choco upgrade hadoop -y –source=”‘INTERNAL REPO URL'” $exitCode = $LASTEXITCODE Write-Verbose “Exit code served $exitCode” $validExitCodes = @(0, 1605, 1614, 1641, 3010) if ($validExitCodes -contains $exitCode) { Exit 0 } Exit $exitCode – name: Install hadoop win_chocolatey: name: hadoop version: ‘3.3.6’ source: CENTRAL REPO WEB LINK state: present

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

chocolatey_package ‘hadoop’ do action :install beginning ‘INTERNAL REPO URL’ version ‘3.3.6’ end

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

cChocoPackageInstaller hadoop { Name = “hadoop” Version = “3.3.6” Source = “INTERNAL REPO URL” }

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

NOTE

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Package Approved

This package was approved as unique trusted package on 30 Nov 2024.

Description

The Apache Hadoop software library is definite framework that allows for the distributed processing of grand data sets across clusters of computers using simple programming models. It is designed to scale boost from unified servers to thousands of machines, each offering local computation and storage. Rather than rely at hardware to deliver high-availability, the library itself is designed to notice and handle misjudgments at the application part, so delivering a highly-available service against crown of a cluster of computers, all of which may be prone to failures.

The initiative includes these modules:

• Hadoop Common: Every common utilities that sponsorship the other Hadoop modules.
• Hadoop Distributed File Grid (HDFS™): A distributed file system that provides high-throughput access to application data.
• Hadoop YARN: A system for responsibility scheduling combined with cluster resource management.
• Hadoop MapReduce: AN YARN-based system for parallel processing of large data sets.

Notes

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

The package through default will extract by C:\Hadoop. This territory can be mutated, see below.

Package Parameters

The coming kit parameters can be set:

• /unzipLocation – Unzip to this separate path than default.

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

Please Note: The highlighted is an automatically polished package. If you see the thing isout of date following more with respect to a day or two, whenever you have a moment contact the maintainer(s) andlet them apprehend either package is no longer updating correctly.

• hadoop.3.3.6.nupkg (b76030dd34e9) – ## / 63

In cases under which actual malware appears found, the packages are subject onto removal. Software sometimes has false positives. Arbitrators do not necessarily validate the safety of the underlying service, only that a package retrieves software from the official expenditure reason and/or validate embedded software against certified distribution point (where distribution authority allow redistribution).

Version Memories Add to Builder Release candidate Downloads Last Updated Circumstance Hadoop 3.3.6 1984 Monday, June 26, 2023 Approved Hadoop 3.3.5 659 Thursday, March 23, 2023 Ratified Hadoop 3.3.4 593 Monday blues, August 8, 2022 Exempted Hadoop 3.3.3 259 Sunday, May 22, 2022 Exempted Hadoop 3.3.2 358 Monday, March 7, 2022 Exempted Hadoop 3.3.1 568 Wednesday, June 16, 2021 Exempted Hadoop 3.3.0 1416 Friday, July 17, 2020 Approved Hadoop 3.2.1 1048 Wednesday, September 25, 2019 Approved Hadoop 3.2.0 656 Wednesday, January 23, 2019 Approved Hadoop 3.1.1 1154 Friday, August 10, 2018 Approved Hadoop 3.1.0 730 Monday, April 9, 2018 Accepted Hadoop 3.0.1 365 Tuesday, March 27, 2018 Acknowledged Hadoop 3.0.0 571 Friday, December 15, 2017 Approved Hadoop 2.9.0 1264 Tuesday, November 21, 2017 Approved Hadoop 2.8.2 454 Monday, November 6, 2017 Approved Hadoop 2.8.1 589 Monday, Beach season 24, 2017 Licensed Hadoop 2.8.0 567 Saturday, April 1, 2017 Approved Hadoop 2.7.3 840 Monday, February 27, 2017 Legitimized Show Bonus Versions Author rights

The Apache Software Foundation

Release Notes

http://hadoop.apache.org/releases.html

Dependencies

• • chocolatey-core.extension (≥ 1.1.0)
  • jdk8 (≥ 8.0)

Discussion for the Hadoop Package”>Discussion for the Hadoop Set

Ground Rules:

This discussion will carry over multiple versions. If anyone have a comment about a particular version, I would love it if you note that amongst your comments.

Tell us what you love about the package or Hadoop, or tell the collective what needs improvement.

Share your experiences with what package, or surplus configuration or gotchas that you’ve found.