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Posted to issues@beam.apache.org by "Shoaib Zafar (Jira)" <ji...@apache.org> on 2019/12/11 12:56:00 UTC

[jira] [Updated] (BEAM-8949) Create Integration Test for Spanner IO for Python

     [ https://issues.apache.org/jira/browse/BEAM-8949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shoaib Zafar updated BEAM-8949:
-------------------------------
    Description: 
With the reference of the ticket "BEAM-7246" 

Add I/O support for Google Cloud Spanner for the Python SDK (Batch Only).
 Testing in this work item will be in the form of DirectRunner tests and manual testing.

Integration and performance tests are a separate work item (not included here).

See [https://beam.apache.org/documentation/io/built-in/]. The goal is to add Google Clound Spanner to the Database column for the Python/Batch row.

  was:
Add I/O support for Google Cloud Spanner for the Python SDK (Batch Only).
Testing in this work item will be in the form of DirectRunner tests and manual testing.

Integration and performance tests are a separate work item (not included here).


See https://beam.apache.org/documentation/io/built-in/. The goal is to add Google Clound Spanner to the Database column for the Python/Batch row.


> Create Integration Test for Spanner IO for Python
> -------------------------------------------------
>
>                 Key: BEAM-8949
>                 URL: https://issues.apache.org/jira/browse/BEAM-8949
>             Project: Beam
>          Issue Type: Bug
>          Components: io-py-gcp
>            Reporter: Shoaib Zafar
>            Assignee: Shehzaad Nakhoda
>            Priority: Major
>
> With the reference of the ticket "BEAM-7246" 
> Add I/O support for Google Cloud Spanner for the Python SDK (Batch Only).
>  Testing in this work item will be in the form of DirectRunner tests and manual testing.
> Integration and performance tests are a separate work item (not included here).
> See [https://beam.apache.org/documentation/io/built-in/]. The goal is to add Google Clound Spanner to the Database column for the Python/Batch row.



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