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https://issues.apache.org/jira/browse/SPARK-38492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Haejoon Lee updated SPARK-38492:
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Description:
Currently, PySpark test coverage is around 91% according to codecov report:
[https://app.codecov.io/gh/apache/spark|https://app.codecov.io/gh/apache/spark]
Since there are still 9% missing tests, so I think it would be great to improve
our test coverage.
Of course we might not target to 100%, but as much as possible, to the level
that we can currently cover with CI.
was:
Currently, PySpark test coverage is around 91% according to codecov report:
[https://app.codecov.io/gh/apache/spark|https://app.codecov.io/gh/apache/spark).]
Since there are still 9% missing tests, so I think it would be great to improve
our test coverage.
Of course we might not target to 100%, but as much as possible, to the level
that we can currently cover with CI.
> Improve the test coverage for PySpark
> -------------------------------------
>
> Key: SPARK-38492
> URL: https://issues.apache.org/jira/browse/SPARK-38492
> Project: Spark
> Issue Type: Umbrella
> Components: PySpark, Tests
> Affects Versions: 3.3.0
> Reporter: Haejoon Lee
> Priority: Major
>
> Currently, PySpark test coverage is around 91% according to codecov report:
> [https://app.codecov.io/gh/apache/spark|https://app.codecov.io/gh/apache/spark]
> Since there are still 9% missing tests, so I think it would be great to
> improve our test coverage.
> Of course we might not target to 100%, but as much as possible, to the level
> that we can currently cover with CI.
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