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Posted to reviews@spark.apache.org by "WweiL (via GitHub)" <gi...@apache.org> on 2024/03/06 00:30:33 UTC

[PR] [SPARK-47277][3.5] PySpark util function assertDataFrameEqual should not support streaming DF [spark]

WweiL opened a new pull request, #45395:
URL: https://github.com/apache/spark/pull/45395

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   Backport https://github.com/apache/spark/pull/45380 to branch-3.5
   
   The handy util function should not support streaming dataframes, currently if you call it upon streaming queries, it throws a relatively hard-to-understand error:
   ```
   >>> df1 = spark.readStream.format("rate").load()
   >>> df2 = spark.readStream.format("rate").load()
   >>> from pyspark.testing.utils import QuietTest, assertDataFrameEqual
   >>> assertDataFrameEqual(df1, df2)
   /Users/wei.liu/oss-spark/python/pyspark/pandas/__init__.py:43: UserWarning: 'PYARROW_IGNORE_TIMEZONE' environment variable was not set. It is required to set this environment variable to '1' in both driver and executor sides if you use pyarrow>=2.0.0. pandas-on-Spark will set it for you but it does not work if there is a Spark context already launched.
     warnings.warn(
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/Users/wei.liu/oss-spark/python/pyspark/testing/utils.py", line 936, in assertDataFrameEqual
       actual_list = actual.collect()
     File "/Users/wei.liu/oss-spark/python/pyspark/sql/dataframe.py", line 1453, in collect
       sock_info = self._jdf.collectToPython()
     File "/Users/wei.liu/oss-spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
     File "/Users/wei.liu/oss-spark/python/pyspark/errors/exceptions/captured.py", line 221, in deco
       raise converted from None
   pyspark.errors.exceptions.captured.AnalysisException: Queries with streaming sources must be executed with writeStream.start();
   rate
   ```
   Because the function calls `collect` which is not supported on streaming dataframes. It'd be good if we can catch this earlier.
   
   
   ### Why are the changes needed?
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   Improve usability
   
   ### Does this PR introduce _any_ user-facing change?
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   No
   
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   Unit test
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   Generated-by: Github Copilot
   It helped me to pick the error class UNSUPPORTED_OPERATION


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Re: [PR] [SPARK-47277][3.5] PySpark util function assertDataFrameEqual should not support streaming DF [spark]

Posted by "HyukjinKwon (via GitHub)" <gi...@apache.org>.
HyukjinKwon closed pull request #45395: [SPARK-47277][3.5] PySpark util function assertDataFrameEqual should not support streaming DF
URL: https://github.com/apache/spark/pull/45395


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Re: [PR] [SPARK-47277][3.5] PySpark util function assertDataFrameEqual should not support streaming DF [spark]

Posted by "HyukjinKwon (via GitHub)" <gi...@apache.org>.
HyukjinKwon commented on PR #45395:
URL: https://github.com/apache/spark/pull/45395#issuecomment-1980009033

   Merged to branch-3.5.


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