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fix: fix bind port failed on spark yarn environment

Open coddderX opened this issue 1 year ago • 8 comments

Related Issues/PRs

Close #2230

What changes are proposed in this pull request?

When training in a yarn Spark environment, sometimes it may encounter port binding failure. This is because multiple Spark jobs might be running on the same machine, but the port binding does not occur simultaneously. For example, at 10:01:00, task 1 of JobA finds that port 10001 is available. Then all tasks in JobA find the port and close immediately, not until 10:03:00 does lightgbm bind to port 10001. At the same time, task 1 of Spark JobB finds port 1001 available at 10:02:00, then all tasks in JobB find the port and close immediately. However, until 10:04:00, lightgbm attempts to bind to port 10001, but the binding fails due to port conflict.

like issuse 2230

How is this patch tested?

  • [ ] I have written tests (not required for typo or doc fix) and confirmed the proposed feature/bug-fix/change works.

Does this PR change any dependencies?

  • [x] No. You can skip this section.
  • [ ] Yes. Make sure the dependencies are resolved correctly, and list changes here.

Does this PR add a new feature? If so, have you added samples on website?

  • [x] No. You can skip this section.
  • [ ] Yes. Make sure you have added samples following below steps.
  1. Find the corresponding markdown file for your new feature in website/docs/documentation folder. Make sure you choose the correct class estimators/transformers and namespace.
  2. Follow the pattern in markdown file and add another section for your new API, including pyspark, scala (and .NET potentially) samples.
  3. Make sure the DocTable points to correct API link.
  4. Navigate to website folder, and run yarn run start to make sure the website renders correctly.
  5. Don't forget to add <!--pytest-codeblocks:cont--> before each python code blocks to enable auto-tests for python samples.
  6. Make sure the WebsiteSamplesTests job pass in the pipeline.

coddderX avatar Jun 11 '24 11:06 coddderX

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/azp run

mhamilton723 avatar Jun 12 '24 15:06 mhamilton723

Azure Pipelines successfully started running 1 pipeline(s).

azure-pipelines[bot] avatar Jun 12 '24 15:06 azure-pipelines[bot]

Codecov Report

Attention: Patch coverage is 80.00000% with 1 line in your changes missing coverage. Please review.

Project coverage is 84.43%. Comparing base (d453ba2) to head (db5e950). Report is 67 commits behind head on master.

Files with missing lines Patch % Lines
.../azure/synapse/ml/lightgbm/BasePartitionTask.scala 50.00% 1 Missing :warning:
Additional details and impacted files
@@            Coverage Diff             @@
##           master    #2233      +/-   ##
==========================================
- Coverage   84.43%   84.43%   -0.01%     
==========================================
  Files         327      327              
  Lines       16773    16771       -2     
  Branches     1511     1530      +19     
==========================================
- Hits        14162    14160       -2     
  Misses       2611     2611              

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codecov-commenter avatar Jun 12 '24 15:06 codecov-commenter

/azp run

mhamilton723 avatar Jun 13 '24 17:06 mhamilton723

Azure Pipelines successfully started running 1 pipeline(s).

azure-pipelines[bot] avatar Jun 13 '24 17:06 azure-pipelines[bot]

/azp run

mhamilton723 avatar Jul 22 '24 17:07 mhamilton723

Azure Pipelines successfully started running 1 pipeline(s).

azure-pipelines[bot] avatar Jul 22 '24 17:07 azure-pipelines[bot]