Downloads:
13,755
Downloads of v 3.4.1:
9
Last Update:
05 Nov 2024
Published Date:
05 Nov 2024
Package Maintainer(s):
Software Author(s):
- Apache Software Foundation
Tags:
apache admin hadoop hdfs yarn cluster mapreduce namenode datanodeHadoop
(Waiting for Maintainer to take corrective action)
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3.4.1 | Updated: 05 Nov 2024
Downloads:
13,755
Downloads of v 3.4.1:
9
Published:
05 Nov 2024
Maintainer(s):
Software Author(s):
- Apache Software Foundation
Hadoop 3.4.1
(Waiting for Maintainer to take corrective action)
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.
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Some Checks Have Failed or Are Not Yet Complete
Not All Tests Have Passed
This version is in moderation and has not yet been approved. This means it doesn't show up under normal search.
- Until approved, you should consider this package version unsafe - it could do very bad things to your system (it probably doesn't but you have been warned, that's why we have moderation).
- This package version can change wildly over the course of moderation until it is approved. If you install it and it later has changes to this version, you will be out of sync with any changes that have been made to the package. Until approved, you should consider that this package version doesn't even exist.
- You cannot install this package under normal scenarios. See How to install package version under moderation for more information.
- There are also no guarantees that it will be approved.
There are versions of this package awaiting moderation (possibly just this one). See the Version History section below.
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.
$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
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 3.4.1 | 9 | Tuesday, November 5, 2024 |
Waiting for Maintainer
|
|
Hadoop 3.3.6 | 1677 | Monday, June 26, 2023 | Approved | |
Hadoop 3.3.5 | 640 | Thursday, March 23, 2023 | Approved | |
Hadoop 3.3.4 | 579 | Monday, August 8, 2022 | Exempted | |
Hadoop 3.3.3 | 249 | Sunday, May 22, 2022 | Exempted | |
Hadoop 3.3.2 | 340 | Monday, March 7, 2022 | Exempted | |
Hadoop 3.3.1 | 543 | Wednesday, June 16, 2021 | Exempted | |
Hadoop 3.3.0 | 1185 | Friday, July 17, 2020 | Approved | |
Hadoop 3.2.1 | 1032 | Wednesday, September 25, 2019 | Approved | |
Hadoop 3.2.0 | 638 | Wednesday, January 23, 2019 | Approved | |
Hadoop 3.1.1 | 1075 | Friday, August 10, 2018 | Approved | |
Hadoop 3.1.0 | 704 | Monday, April 9, 2018 | Approved | |
Hadoop 3.0.1 | 348 | Tuesday, March 27, 2018 | Approved | |
Hadoop 3.0.0 | 559 | Friday, December 15, 2017 | Approved | |
Hadoop 2.9.0 | 1248 | Tuesday, November 21, 2017 | Approved | |
Hadoop 2.8.2 | 429 | Monday, November 6, 2017 | Approved | |
Hadoop 2.8.1 | 572 | Monday, July 24, 2017 | Approved | |
Hadoop 2.8.0 | 546 | Saturday, April 1, 2017 | Approved | |
Hadoop 2.7.3 | 817 | Monday, February 27, 2017 | Approved |
The Apache Software Foundation
-
- chocolatey-core.extension (≥ 1.1.0)
- jdk8 (≥ 8.0.0)
Ground Rules:
- This discussion is only about Hadoop and the Hadoop package. If you have feedback for Chocolatey, please contact the Google Group.
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- Tell us what you love about the package or Hadoop, or tell us what needs improvement.
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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.
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.
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:
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.