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Subject [GitHub] [flink] dianfu opened a new pull request #8532: [FLINK-12541][REST] Support to submit Python Table API jobs via REST API
Date Fri, 24 May 2019 08:05:12 GMT
dianfu opened a new pull request #8532: [FLINK-12541][REST] Support to submit Python Table
API jobs via REST API
URL: https://github.com/apache/flink/pull/8532
 
 
   ## What is the purpose of the change
   
   *This pull request supports to submit Python Table API jobs via REST API.*
   
   ## Brief change log
   
     - *[7b20cd4](https://github.com/dianfu/flink/commit/7b20cd4ed4df4a012224e90c34b5e0c23ffe2d18):
Changes the REST API prefix from /jars to /artifacts as we will not only support upload jar
files, but also Python resource files. This commit also refactor the class name prefix from
JarXXX to ArtifactXXX*
     - *[667b8c8](https://github.com/dianfu/flink/commit/667b8c8b1b4a609abddc7ef06ed4d543c7e61966):
Updates the web to use the new /artifacts REST API instead of the /jars REST API*
     - *[524e206](https://github.com/dianfu/flink/commit/524e206d73df9f19011ee602a24fc1e663d7f357)
Supports to submit Python Table API jobs. It supports to submit Python Table API jobs via
resource files such as .py, .zip and .egg.*
   
   ## Verifying this change
   
   This change is a trivial rework / code cleanup without any test coverage.
   This change added tests and can be verified as follows:
     - *Added tests DependentArtifactIdQueryParameterTest*
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (no)
     - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (no)
     - The serializers: (no)
     - The runtime per-record code paths (performance sensitive): (no)
     - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing,
Yarn/Mesos, ZooKeeper: (no)
     - The S3 file system connector: (no)
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (no)
     - If yes, how is the feature documented? (not applicable)
   

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