Downloads:
865
Downloads of v 1.6.4:
588
Last Update:
31 Jan 2020
Package Maintainer(s):
Software Author(s):
- Apache Software Foundation
Tags:
java hadoop apache flinkApache Flink
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1.6.4 | Updated: 31 Jan 2020
Downloads:
865
Downloads of v 1.6.4:
588
Maintainer(s):
Software Author(s):
- Apache Software Foundation
Apache Flink 1.6.4
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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All Checks are Passing
3 Passing Tests
Deployment Method: Individual Install, Upgrade, & Uninstall
To install Apache Flink, run the following command from the command line or from PowerShell:
To upgrade Apache Flink, run the following command from the command line or from PowerShell:
To uninstall Apache Flink, run the following command from the command line or from PowerShell:
Deployment Method:
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
Option 1: Cached Package (Unreliable, Requires Internet - Same As Community)-
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
-
Open Source
-
Download the package:
Download - Follow manual internalization instructions
-
-
Package Internalizer (C4B)
-
Run: (additional options)
choco download flink --internalize --source=https://community.chocolatey.org/api/v2/
-
For package and dependencies run:
choco push --source="'INTERNAL REPO URL'"
- Automate package internalization
-
Run: (additional options)
3. Copy Your Script
choco upgrade flink -y --source="'INTERNAL REPO URL'" [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 flink -y --source="'INTERNAL REPO URL'"
$exitCode = $LASTEXITCODE
Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
Exit 0
}
Exit $exitCode
- name: Install flink
win_chocolatey:
name: flink
version: '1.6.4'
source: INTERNAL REPO URL
state: present
See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.
chocolatey_package 'flink' do
action :install
source 'INTERNAL REPO URL'
version '1.6.4'
end
See docs at https://docs.chef.io/resource_chocolatey_package.html.
cChocoPackageInstaller flink
{
Name = "flink"
Version = "1.6.4"
Source = "INTERNAL REPO URL"
}
Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.
package { 'flink':
ensure => '1.6.4',
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.
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This package was approved by moderator flcdrg on 22 Feb 2020.
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale
Uninstall-BinFile 'flink'
Uninstall-BinFile 'pyflink'
Uninstall-ChocolateyEnvironmentVariable 'FLINK_CONF_DIR'
Uninstall-ChocolateyEnvironmentVariable 'FLINK_HOME'
Update-SessionEnvironment
Log in or click on link to see number of positives.
- flink.1.6.4.nupkg (c2e1162978c3) - ## / 63
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 |
---|---|---|---|---|
Apache Flink 1.6.4 | 588 | Friday, January 31, 2020 | Approved | |
Apache Flink 1.6.3 | 277 | Monday, February 25, 2019 | Approved |
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- openjdk8 (≥ 8.232.9)
Ground Rules:
- This discussion is only about Apache Flink and the Apache Flink 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 Apache Flink, 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.