Amanda Liu created SPARK-44042:
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Summary: 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
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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