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[GitHub] spark issue #20839: [SPARK-23699][PYTHON][SQL] Raise same type of error caug...
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/20839
### After Reworded Warnings
```
In [2]: spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
/home/bryan/git/spark/python/pyspark/sql/session.py:688: UserWarning:
createDataFrame attempted Arrow optimization because
'spark.sql.execution.arrow.enabled' is set to true, but has reached the error
below and will not continue because automatic fallback with
'spark.sql.execution.arrow.fallback.enabled' has been set to false.
PyArrow >= 0.8.0 must be installed; however, it was not found.
warnings.warn(msg)
---
ImportError Traceback (most recent call last)
in ()
> 1 spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
~/git/spark/python/pyspark/sql/session.py in createDataFrame(self, data,
schema, samplingRatio, verifySchema)
665 and len(data) > 0:
666 try:
--> 667 return
self._create_from_pandas_with_arrow(data, schema, timezone)
668 except Exception as e:
669 from pyspark.util import _exception_message
~/git/spark/python/pyspark/sql/session.py in
_create_from_pandas_with_arrow(self, pdf, schema, timezone)
508
509 require_minimum_pandas_version()
--> 510 require_minimum_pyarrow_version()
511
512 from pandas.api.types import is_datetime64_dtype,
is_datetime64tz_dtype
~/git/spark/python/pyspark/sql/utils.py in require_minimum_pyarrow_version()
147 if not have_arrow:
148 raise ImportError("PyArrow >= %s must be installed;
however, "
--> 149 "it was not found." %
minimum_pyarrow_version)
150 if LooseVersion(pyarrow.__version__) <
LooseVersion(minimum_pyarrow_version):
151 raise ImportError("PyArrow >= %s must be installed;
however, "
ImportError: PyArrow >= 0.8.0 must be installed; however, it was not found.
```
---
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Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/20839 Thanks @HyukjinKwon for reviewing! I agree with what you said about the rephrasing the warning message, I'll try to make that sound better. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20839 For the best and the min fix, can we rephrase the warning messages to make them look more like a warn not an error? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20839 Yea, I agree that the warn way is the min fix. I actually attempted a try to fix this locally before and failed to make a clean fix, and I understand the complexity here, in particular, because of compatibility between Python 2 and Python 3. I also took a look for `six` and `python-future` to wrap and reraise the exceptions in Python 2. The implementation of `six` was missing and implementation of `python-future` was incomplete. Also, I took a look for the complexity you mentioned when I initially proposed the changes in this logic. Looked not quite easy to wrap it manually too. Only one main concern is, if it makes sense to call it a warn because the message contains, for example, the warning message would contain: ```python ... "'spark.sql.execution.arrow.enabled' is set to true; however, " "failed unexpectedly:\n %s\n" ... ``` --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/20839 @HyukjinKwon and @ueshin I came close to a solution that would wrap the exception message like before but still keep the exception type and traceback. The problem was there are too many variations in python exceptions and it was getting too complicated to be foolproof. For instance, `ImportError` does not use `args` for the message, but has another attribute `message` in Python 2 and `msg` in Python 3. To keep things simple for this, I thought it would be fine when fallback is disabled, to still print a warning message to indicate the related conf, and then use `raise` to re-raise the exception which retains the original exception with traceback. I manually ran tests of toPandas and createDataFrame with Python 2 & 3 and it looks cleaner imo. What do you guys think? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/20839
### Before with Python 2, missing traceback and doesn't show as
`ImportError`
```
In [4]: spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
---
RuntimeError Traceback (most recent call last)
in ()
> 1 spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
/home/bryan/git/spark/python/pyspark/sql/session.py in
createDataFrame(self, data, schema, samplingRatio, verifySchema)
686 "For fallback to non-optimization
automatically, please set true to "
687
"'spark.sql.execution.arrow.fallback.enabled'." % _exception_message(e))
--> 688 raise RuntimeError(msg)
689 data = self._convert_from_pandas(data, schema, timezone)
690
RuntimeError: createDataFrame attempted Arrow optimization because
'spark.sql.execution.arrow.enabled' is set to true; however, failed by the
reason below:
PyArrow >= 0.8.0 must be installed; however, it was not found.
For fallback to non-optimization automatically, please set true to
'spark.sql.execution.arrow.fallback.enabled'.
```
### Before with Python 3, each time another error is raised in the catch
block it gets chained
```
In [2]: spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
---
ModuleNotFoundError Traceback (most recent call last)
~/git/spark/python/pyspark/sql/utils.py in require_minimum_pyarrow_version()
139 try:
--> 140 import pyarrow
141 except ImportError:
ModuleNotFoundError: No module named 'pyarrow'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
~/git/spark/python/pyspark/sql/session.py in createDataFrame(self, data,
schema, samplingRatio, verifySchema)
666 try:
--> 667 return
self._create_from_pandas_with_arrow(data, schema, timezone)
668 except Exception as e:
~/git/spark/python/pyspark/sql/session.py in
_create_from_pandas_with_arrow(self, pdf, schema, timezone)
509 require_minimum_pandas_version()
--> 510 require_minimum_pyarrow_version()
511
~/git/spark/python/pyspark/sql/utils.py in require_minimum_pyarrow_version()
142 raise ImportError("PyArrow >= %s must be installed;
however, "
--> 143 "it was not found." %
minimum_pyarrow_version)
144 if LooseVersion(pyarrow.__version__) <
LooseVersion(minimum_pyarrow_version):
ImportError: PyArrow >= 0.8.0 must be installed; however, it was not found.
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
in ()
> 1 spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
~/git/spark/python/pyspark/sql/session.py in createDataFrame(self, data,
schema, samplingRatio, verifySchema)
686 "For fallback to non-optimization
automatically, please set true to "
687
"'spark.sql.execution.arrow.fallback.enabled'." % _exception_message(e))
--> 688 raise RuntimeError(msg)
689 data = self._convert_from_pandas(data, schema, timezone)
690
RuntimeError: createDataFrame attempted Arrow optimization because
'spark.sql.execution.arrow.enabled' is set to true; however, failed by the
reason below:
PyArrow >= 0.8.0 must be installed; however, it was not found.
For fallback to non-optimization automatically, please set true to
'spark.sql.execution.arrow.fallback.enabled'.
```
### After change with Python 2 & 3, warning is printed then error is
re-raised
```
In [2]: spark.createDataFrame(pd.DataFrame([[{u'a': 1}]]), "a: map")
/home/bryan/git/spark/python/pyspark/sql/session.py:686: UserWarning:
createDataFrame attempted Arrow optimization because
'spark.sql.execution.arrow.enabled' is set to true; however, failed by the
reason below:
PyArrow >= 0.8.0 must be installed; however, it was not found.
For fallback to non-optimization automatically, please set true to
'spark.sql.execution.arrow.fallback.enabled'.
warnings.warn(msg)
---
ImportError Traceback (most recent call last)
in ()
> 1 spark.cr
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