srinipunuru opened a new pull request #16559:
URL: https://github.com/apache/flink/pull/16559


   <!--
   *Thank you very much for contributing to Apache Flink - we are happy that 
you want to help us improve Flink. To help the community review your 
contribution in the best possible way, please go through the checklist below, 
which will get the contribution into a shape in which it can be best reviewed.*
   
   *Please understand that we do not do this to make contributions to Flink a 
hassle. In order to uphold a high standard of quality for code contributions, 
while at the same time managing a large number of contributions, we need 
contributors to prepare the contributions well, and give reviewers enough 
contextual information for the review. Please also understand that 
contributions that do not follow this guide will take longer to review and thus 
typically be picked up with lower priority by the community.*
   
   ## Contribution Checklist
   
     - Make sure that the pull request corresponds to a [JIRA 
issue](https://issues.apache.org/jira/projects/FLINK/issues). Exceptions are 
made for typos in JavaDoc or documentation files, which need no JIRA issue.
     
     - Name the pull request in the form "[FLINK-XXXX] [component] Title of the 
pull request", where *FLINK-XXXX* should be replaced by the actual issue 
number. Skip *component* if you are unsure about which is the best component.
     Typo fixes that have no associated JIRA issue should be named following 
this pattern: `[hotfix] [docs] Fix typo in event time introduction` or 
`[hotfix] [javadocs] Expand JavaDoc for PuncuatedWatermarkGenerator`.
   
     - Fill out the template below to describe the changes contributed by the 
pull request. That will give reviewers the context they need to do the review.
     
     - Make sure that the change passes the automated tests, i.e., `mvn clean 
verify` passes. You can set up Azure Pipelines CI to do that following [this 
guide](https://cwiki.apache.org/confluence/display/FLINK/Azure+Pipelines#AzurePipelines-Tutorial:SettingupAzurePipelinesforaforkoftheFlinkrepository).
   
     - Each pull request should address only one issue, not mix up code from 
multiple issues.
     
     - Each commit in the pull request has a meaningful commit message 
(including the JIRA id)
   
     - Once all items of the checklist are addressed, remove the above text and 
this checklist, leaving only the filled out template below.
   
   
   **(The sections below can be removed for hotfixes of typos)**
   -->
   
   ## What is the purpose of the change
   
   This pull request adds support for abfs to talk to ADLS Gen2 (Azure DataLake 
Gen2) storage accounts. These are newer storage account types that hierarchical 
namespaces, abfs takes advantage of this newer capability. Azure recommends 
using abfs for reading/writing to these newer storage accounts. 
   
   
   ## Brief change log
   - Upgrade the hadoop version to latest. Existing version that flink depends 
on doesn't have hadoop abfs implementation. 
   - Added support for two new schemes (abfs:// and abfss://)
   - Added english documentation. 
   
   ## Verifying this change
   
   - Ran existing tests to make sure there are no regressions
   - Added few trivial unit tests. File system implementations are really hard 
to test using unit tests. Existing filesystems unit tests seems to be super 
thin. 
   - Tested abfs, abfss manually using a flink clusters on AKS using the 
instructions 
[here](https://github.com/srinipunuru/flink-playground/blob/master/abfs-support/README.md)
   
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (**yes** / no)
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (yes / **no**)
     - The serializers: (yes / **no** / don't know)
     - The runtime per-record code paths (performance sensitive): (yes / **no** 
/ don't know)
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (**yes** / no / don't 
know)
     - The S3 file system connector: (**yes** / no / don't know) - Because of 
the upgrade of the hadoop version
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (**yes** / no)
     - If yes, how is the feature documented? (not applicable / **docs** / 
JavaDocs / not documented) - Yes (English version)
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


Reply via email to