In my experience it's usually okay but it's still informal way tho as far as I can tell.
On Mon, 20 Aug 2018, 11:24 pm Imran Rashid, <[email protected]> wrote: > thanks, that helps! > > So run-tests.py adds a bunch more env variables: > https://github.com/apache/spark/blob/master/python/run-tests.py#L74-L97 > > those don't matter in most cases I guess? > > On Sun, Aug 19, 2018 at 11:54 PM Hyukjin Kwon <[email protected]> wrote: > >> There's informal way to test specific tests. For instance: >> >> SPARK_TESTING=1 ../bin/pyspark pyspark.sql.tests VectorizedUDFTests >> >> I have a partial fix for our testing script to support this way in my >> local but couldn't have enough time to make a PR for it yet. >> >> >> 2018년 8월 20일 (월) 오전 11:08, Imran Rashid <[email protected]>님이 >> 작성: >> >>> Hi, >>> >>> I haven't spent a lot of time working on the python side of spark before >>> so apologize if this is a basic question, but I'm trying to figure out the >>> best way to run a small subset of python tests in a tight loop while >>> developing. The closer I can get to sbt's "~test-only *FooSuite -- -z >>> test-blah" the better. >>> >>> I'm familiar with the "--modules" in python/run-tests, but even running >>> one module takes a long time when I want to just run one teeny test >>> repeatedly. Is there a way to run just one file? And a way to run only >>> one test within a file? >>> >>> So far, I know I can assembly my own command line like run-tests does, >>> with all the env vars like PYSPARK_SUBMIT_ARGS etc. and just pass in one >>> test file. Seems tedious. Would it be helpful to add a "--single-test" >>> option (or something) to run-tests.py? >>> >>> And for running one test within a file, I know for the unit test files >>> (like tests.py), I could modify the "main" section to have it run just one >>> test, but would be nice to be able to do that from the command line. >>> (maybe there is something similar for doctests, not sure.) Again, could >>> add a command line option to run-tests for that, though would be more work >>> to plumb it through to each suite. >>> >>> thanks, >>> Imran >>> >>
