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https://issues.apache.org/jira/browse/SPARK-44042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17735747#comment-17735747
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Amanda Liu commented on SPARK-44042:
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[[email protected]] thank you for the comment! i agree that test output
messages are critical here. thanks also for the hadoop-api-shim example, that's
helpful to look at
> SPIP: PySpark Test Framework
> ----------------------------
>
> Key: SPARK-44042
> URL: https://issues.apache.org/jira/browse/SPARK-44042
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 3.5.0
> Reporter: Amanda Liu
> Priority: Major
>
> Currently, there's no official PySpark test framework, but only various
> open-source repos and blog posts. Many of these open-source resources are
> very popular, which demonstrates user-demand for PySpark testing
> capabilities.
> [spark-testing-base|https://github.com/holdenk/spark-testing-base] has 1.4k
> stars, and [chispa|https://github.com/MrPowers/chispa] has 532k
> downloads/month. However, it can be confusing for users to piece together
> disparate resources to write their own PySpark tests (see [The Elephant in
> the Room: How to Write PySpark
> Tests|https://towardsdatascience.com/the-elephant-in-the-room-how-to-write-pyspark-unit-tests-a5073acabc34]).
> We can streamline and simplify the testing process by incorporating test
> features, such as a PySpark Test Base class (which allows tests to share
> Spark sessions) and test util functions (for example, asserting dataframe and
> schema equality). Please see the full SPIP document attached:
> [https://docs.google.com/document/d/1OkyBn3JbEHkkQgSQ45Lq82esXjr9rm2Vj7Ih_4zycRc/edit#heading=h.f5f0u2riv07v].
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