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Posted to dev@datalab.apache.org by "Oleksandr Repnikov (Jira)" <ji...@apache.org> on 2022/04/11 08:33:00 UTC
[jira] [Comment Edited] (DATALAB-1408) [DevOps] Add HDInsight on Azure
[ https://issues.apache.org/jira/browse/DATALAB-1408?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17520423#comment-17520423 ]
Oleksandr Repnikov edited comment on DATALAB-1408 at 4/11/22 8:32 AM:
----------------------------------------------------------------------
||HDInsight version||VM OS||Release date||Support type||Support expiration date||Retirement date||High availability||
|HDInsight
4.0|Ubuntu
18.0.4
LTS|September
24, 2018|Standard| | |Yes|
|HDInsight
3.6|Ubuntu
16.0.4|April 4, 2017|Basic|Standard support expired
on June 30, 2021 for all
cluster types.
Basic support expires on
September 30, 2022. |October 1,
2022|Yes|
*Support expiration* means that Microsoft no longer provides support for the specific HDInsight version. And it may no longer available through the Azure portal for cluster creation.
*Retirement* means that existing clusters of an HDInsight version continue to run as is. New clusters of this version can't be created through any means, which includes the CLI and SDKs. Other control plane features, such as manual scaling and autoscaling, are not guaranteed to work after retirement date. Support isn't available for retired versions.
HDInsight offers two types of support:
* *Standard support* provides updates and support on HDInsight clusters. Microsoft recommends building solutions using the most recent fully supported version.
* *Basic support* provides limited servicing to the HDInsight Resource provider. HDInsight images and open-source software (OSS) components will not be serviced. Only critical security fixes will be patched on HDInsight clusters.
Conclusion:
After comparing versions, a better decision is to use HDInsight 4.0 based on OS with long-term support, and without support expiration and retirement date.
was (Author: JIRAUSER286686):
||HDInsight version||VM OS||Release date||Support type||Support expiration date||Retirement date||High availability||
|HDInsight
4.0|Ubuntu
18.0.4
LTS|September
24, 2018|Standard| | |Yes|
|HDInsight
3.6|Ubuntu
16.0.4|April 4, 2017|Basic|Standard support expired
on June 30, 2021 for all
cluster types.
Basic support expires on
September 30, 2022. |October 1,
2022|Yes|
*Support expiration* means that Microsoft no longer provides support for the specific HDInsight version. And it may no longer available through the Azure portal for cluster creation.
*Retirement* means that existing clusters of an HDInsight version continue to run as is. New clusters of this version can't be created through any means, which includes the CLI and SDKs. Other control plane features, such as manual scaling and autoscaling, are not guaranteed to work after retirement date. Support isn't available for retired versions.
HDInsight offers two types of support:
* *Standard support* provides updates and support on HDInsight clusters. Microsoft recommends building solutions using the most recent fully supported version.
* *Basic support* provides limited servicing to the HDInsight Resource provider. HDInsight images and open-source software (OSS) components will not be serviced. Only critical security fixes will be patched on HDInsight clusters.
Conclusion:
After comparing versions, better decision it is use HDInsight 4.0 based on OS with long term support, and without support expiration and retirement date.
> [DevOps] Add HDInsight on Azure
> -------------------------------
>
> Key: DATALAB-1408
> URL: https://issues.apache.org/jira/browse/DATALAB-1408
> Project: Apache DataLab
> Issue Type: New Feature
> Components: DataLab Main
> Reporter: Vira Vitanska
> Assignee: Oleksandr Repnikov
> Priority: Minor
> Labels: AZURE, Debian, DevOps, Github_issue, RedHat
> Attachments: image-2022-04-06-10-47-13-840.png, image-2022-04-06-10-49-00-874.png
>
>
> As a user I want to use HDInsight (Data Engine Service) on Azure in DataLab, so that I can simplify running big data frameworks.
> ----
> Github issue: [https://github.com/apache/incubator-dlab/issues/728]
> Type of HDInsight:
> * Hadoop
> * Spark
>
> For now we are going to support only one version of HDInsight. Please select which is better:
> * HDInsight 4.0
> * HDInsight 3.6
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