WweiL opened a new pull request, #45380:
URL: https://github.com/apache/spark/pull/45380
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### What changes were proposed in this pull request?
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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
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Generated-by: Github Copilot
It helped me to pick the error class UNSUPPORTED_OPERATION
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