Yeah, I have been thinking about this too, and Holden did some work here that this SPIP will reuse. I support this.
On Wed, 14 Jun 2023 at 08:10, Amanda Liu <amanda....@databricks.com.invalid> wrote: > Hi all, > > I'd like to start a discussion about implementing an official PySpark test > framework. Currently, there's no official 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 SPIP document attached: > https://docs.google.com/document/d/1OkyBn3JbEHkkQgSQ45Lq82esXjr9rm2Vj7Ih_4zycRc/edit#heading=h.f5f0u2riv07vAnd > the JIRA ticket: https://issues.apache.org/jira/browse/SPARK-44042 > > I would appreciate it if you could share your thoughts on this proposal. > > Thank you! > Amanda Liu >
