spark-instrumented-optimizer/python/pyspark/sql/tests/test_utils.py

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[SPARK-19926][PYSPARK] make captured exception from JVM side user friendly ### What changes were proposed in this pull request? The str of `CapaturedException` is now returned by str(self.desc) rather than repr(self.desc), which is more user-friendly. It also handles unicode under python2 specially. ### Why are the changes needed? This is an improvement, and makes exception more human readable in python side. ### Does this PR introduce any user-facing change? Before this pr, select `中文字段` throws exception something likes below: ``` Traceback (most recent call last): File "/Users/advancedxy/code_workspace/github/spark/python/pyspark/sql/tests/test_utils.py", line 34, in test_capture_user_friendly_exception raise e AnalysisException: u"cannot resolve '`\u4e2d\u6587\u5b57\u6bb5`' given input columns: []; line 1 pos 7;\n'Project ['\u4e2d\u6587\u5b57\u6bb5]\n+- OneRowRelation\n" ``` after this pr: ``` Traceback (most recent call last): File "/Users/advancedxy/code_workspace/github/spark/python/pyspark/sql/tests/test_utils.py", line 34, in test_capture_user_friendly_exception raise e AnalysisException: cannot resolve '`中文字段`' given input columns: []; line 1 pos 7; 'Project ['中文字段] +- OneRowRelation ``` ### How was this patch Add a new test to verify unicode are correctly converted and manual checks for thrown exceptions. This pr's credits should go to uncleGen and is based on https://github.com/apache/spark/pull/17267 Closes #25814 from advancedxy/python_exception_19926_and_21045. Authored-by: Xianjin YE <advancedxy@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-09-18 10:32:10 -04:00
# -*- encoding: utf-8 -*-
[SPARK-26032][PYTHON] Break large sql/tests.py files into smaller files ## What changes were proposed in this pull request? This is the official first attempt to break huge single `tests.py` file - I did it locally before few times and gave up for some reasons. Now, currently it really makes the unittests super hard to read and difficult to check. To me, it even bothers me to to scroll down the big file. It's one single 7000 lines file! This is not only readability issue. Since one big test takes most of tests time, the tests don't run in parallel fully - although it will costs to start and stop the context. We could pick up one example and follow. Given my investigation, the current style looks closer to NumPy structure and looks easier to follow. Please see https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/sql/tests.py` into ...: ```bash pyspark ... ├── sql ... │   ├── tests # Includes all tests broken down from 'pyspark/sql/tests.py' │ │  │ # Each matchs to module in 'pyspark/sql'. Additionally, some logical group can │ │  │ # be added. For instance, 'test_arrow.py', 'test_datasources.py' ... │   │   ├── __init__.py │   │   ├── test_appsubmit.py │   │   ├── test_arrow.py │   │   ├── test_catalog.py │   │   ├── test_column.py │   │   ├── test_conf.py │   │   ├── test_context.py │   │   ├── test_dataframe.py │   │   ├── test_datasources.py │   │   ├── test_functions.py │   │   ├── test_group.py │   │   ├── test_pandas_udf.py │   │   ├── test_pandas_udf_grouped_agg.py │   │   ├── test_pandas_udf_grouped_map.py │   │   ├── test_pandas_udf_scalar.py │   │   ├── test_pandas_udf_window.py │   │   ├── test_readwriter.py │   │   ├── test_serde.py │   │   ├── test_session.py │   │   ├── test_streaming.py │   │   ├── test_types.py │   │   ├── test_udf.py │   │   └── test_utils.py ... ├── testing # Includes testing utils that can be used in unittests. │   ├── __init__.py │   └── sqlutils.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and `./run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ``` SPARK_TESTING=1 ./bin/pyspark pyspark.sql.tests.test_pandas_udf_scalar ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23021 from HyukjinKwon/SPARK-25344. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-11-14 01:51:11 -05:00
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from pyspark.sql.functions import sha2
from pyspark.sql.utils import AnalysisException, ParseException, IllegalArgumentException
from pyspark.testing.sqlutils import ReusedSQLTestCase
class UtilsTests(ReusedSQLTestCase):
def test_capture_analysis_exception(self):
self.assertRaises(AnalysisException, lambda: self.spark.sql("select abc"))
self.assertRaises(AnalysisException, lambda: self.df.selectExpr("a + b"))
[SPARK-19926][PYSPARK] make captured exception from JVM side user friendly ### What changes were proposed in this pull request? The str of `CapaturedException` is now returned by str(self.desc) rather than repr(self.desc), which is more user-friendly. It also handles unicode under python2 specially. ### Why are the changes needed? This is an improvement, and makes exception more human readable in python side. ### Does this PR introduce any user-facing change? Before this pr, select `中文字段` throws exception something likes below: ``` Traceback (most recent call last): File "/Users/advancedxy/code_workspace/github/spark/python/pyspark/sql/tests/test_utils.py", line 34, in test_capture_user_friendly_exception raise e AnalysisException: u"cannot resolve '`\u4e2d\u6587\u5b57\u6bb5`' given input columns: []; line 1 pos 7;\n'Project ['\u4e2d\u6587\u5b57\u6bb5]\n+- OneRowRelation\n" ``` after this pr: ``` Traceback (most recent call last): File "/Users/advancedxy/code_workspace/github/spark/python/pyspark/sql/tests/test_utils.py", line 34, in test_capture_user_friendly_exception raise e AnalysisException: cannot resolve '`中文字段`' given input columns: []; line 1 pos 7; 'Project ['中文字段] +- OneRowRelation ``` ### How was this patch Add a new test to verify unicode are correctly converted and manual checks for thrown exceptions. This pr's credits should go to uncleGen and is based on https://github.com/apache/spark/pull/17267 Closes #25814 from advancedxy/python_exception_19926_and_21045. Authored-by: Xianjin YE <advancedxy@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-09-18 10:32:10 -04:00
def test_capture_user_friendly_exception(self):
try:
self.spark.sql("select `中文字段`")
except AnalysisException as e:
self.assertRegexpMatches(str(e), "cannot resolve '`中文字段`'")
[SPARK-26032][PYTHON] Break large sql/tests.py files into smaller files ## What changes were proposed in this pull request? This is the official first attempt to break huge single `tests.py` file - I did it locally before few times and gave up for some reasons. Now, currently it really makes the unittests super hard to read and difficult to check. To me, it even bothers me to to scroll down the big file. It's one single 7000 lines file! This is not only readability issue. Since one big test takes most of tests time, the tests don't run in parallel fully - although it will costs to start and stop the context. We could pick up one example and follow. Given my investigation, the current style looks closer to NumPy structure and looks easier to follow. Please see https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/sql/tests.py` into ...: ```bash pyspark ... ├── sql ... │   ├── tests # Includes all tests broken down from 'pyspark/sql/tests.py' │ │  │ # Each matchs to module in 'pyspark/sql'. Additionally, some logical group can │ │  │ # be added. For instance, 'test_arrow.py', 'test_datasources.py' ... │   │   ├── __init__.py │   │   ├── test_appsubmit.py │   │   ├── test_arrow.py │   │   ├── test_catalog.py │   │   ├── test_column.py │   │   ├── test_conf.py │   │   ├── test_context.py │   │   ├── test_dataframe.py │   │   ├── test_datasources.py │   │   ├── test_functions.py │   │   ├── test_group.py │   │   ├── test_pandas_udf.py │   │   ├── test_pandas_udf_grouped_agg.py │   │   ├── test_pandas_udf_grouped_map.py │   │   ├── test_pandas_udf_scalar.py │   │   ├── test_pandas_udf_window.py │   │   ├── test_readwriter.py │   │   ├── test_serde.py │   │   ├── test_session.py │   │   ├── test_streaming.py │   │   ├── test_types.py │   │   ├── test_udf.py │   │   └── test_utils.py ... ├── testing # Includes testing utils that can be used in unittests. │   ├── __init__.py │   └── sqlutils.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and `./run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ``` SPARK_TESTING=1 ./bin/pyspark pyspark.sql.tests.test_pandas_udf_scalar ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23021 from HyukjinKwon/SPARK-25344. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-11-14 01:51:11 -05:00
def test_capture_parse_exception(self):
self.assertRaises(ParseException, lambda: self.spark.sql("abc"))
def test_capture_illegalargument_exception(self):
self.assertRaisesRegexp(IllegalArgumentException, "Setting negative mapred.reduce.tasks",
lambda: self.spark.sql("SET mapred.reduce.tasks=-1"))
df = self.spark.createDataFrame([(1, 2)], ["a", "b"])
self.assertRaisesRegexp(IllegalArgumentException, "1024 is not in the permitted values",
lambda: df.select(sha2(df.a, 1024)).collect())
try:
df.select(sha2(df.a, 1024)).collect()
except IllegalArgumentException as e:
self.assertRegexpMatches(e.desc, "1024 is not in the permitted values")
self.assertRegexpMatches(e.stackTrace,
"org.apache.spark.sql.functions")
if __name__ == "__main__":
import unittest
[SPARK-32319][PYSPARK] Disallow the use of unused imports Disallow the use of unused imports: - Unnecessary increases the memory footprint of the application - Removes the imports that are required for the examples in the docstring from the file-scope to the example itself. This keeps the files itself clean, and gives a more complete example as it also includes the imports :) ``` fokkodriesprongFan spark % flake8 python | grep -i "imported but unused" python/pyspark/cloudpickle.py:46:1: F401 'functools.partial' imported but unused python/pyspark/cloudpickle.py:55:1: F401 'traceback' imported but unused python/pyspark/heapq3.py:868:5: F401 '_heapq.*' imported but unused python/pyspark/__init__.py:61:1: F401 'pyspark.version.__version__' imported but unused python/pyspark/__init__.py:62:1: F401 'pyspark._globals._NoValue' imported but unused python/pyspark/__init__.py:115:1: F401 'pyspark.sql.SQLContext' imported but unused python/pyspark/__init__.py:115:1: F401 'pyspark.sql.HiveContext' imported but unused python/pyspark/__init__.py:115:1: F401 'pyspark.sql.Row' imported but unused python/pyspark/rdd.py:21:1: F401 're' imported but unused python/pyspark/rdd.py:29:1: F401 'tempfile.NamedTemporaryFile' imported but unused python/pyspark/mllib/regression.py:26:1: F401 'pyspark.mllib.linalg.SparseVector' imported but unused python/pyspark/mllib/clustering.py:28:1: F401 'pyspark.mllib.linalg.SparseVector' imported but unused python/pyspark/mllib/clustering.py:28:1: F401 'pyspark.mllib.linalg.DenseVector' imported but unused python/pyspark/mllib/classification.py:26:1: F401 'pyspark.mllib.linalg.SparseVector' imported but unused python/pyspark/mllib/feature.py:28:1: F401 'pyspark.mllib.linalg.DenseVector' imported but unused python/pyspark/mllib/feature.py:28:1: F401 'pyspark.mllib.linalg.SparseVector' imported but unused python/pyspark/mllib/feature.py:30:1: F401 'pyspark.mllib.regression.LabeledPoint' imported but unused python/pyspark/mllib/tests/test_linalg.py:18:1: F401 'sys' imported but unused python/pyspark/mllib/tests/test_linalg.py:642:5: F401 'pyspark.mllib.tests.test_linalg.*' imported but unused python/pyspark/mllib/tests/test_feature.py:21:1: F401 'numpy.random' imported but unused python/pyspark/mllib/tests/test_feature.py:21:1: F401 'numpy.exp' imported but unused python/pyspark/mllib/tests/test_feature.py:23:1: F401 'pyspark.mllib.linalg.Vector' imported but unused python/pyspark/mllib/tests/test_feature.py:23:1: F401 'pyspark.mllib.linalg.VectorUDT' imported but unused python/pyspark/mllib/tests/test_feature.py:185:5: F401 'pyspark.mllib.tests.test_feature.*' imported but unused python/pyspark/mllib/tests/test_util.py:97:5: F401 'pyspark.mllib.tests.test_util.*' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.Vector' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.SparseVector' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.DenseVector' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.VectorUDT' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg._convert_to_vector' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.DenseMatrix' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.SparseMatrix' imported but unused python/pyspark/mllib/tests/test_stat.py:23:1: F401 'pyspark.mllib.linalg.MatrixUDT' imported but unused python/pyspark/mllib/tests/test_stat.py:181:5: F401 'pyspark.mllib.tests.test_stat.*' imported but unused python/pyspark/mllib/tests/test_streaming_algorithms.py:18:1: F401 'time.time' imported but unused python/pyspark/mllib/tests/test_streaming_algorithms.py:18:1: F401 'time.sleep' imported but unused python/pyspark/mllib/tests/test_streaming_algorithms.py:470:5: F401 'pyspark.mllib.tests.test_streaming_algorithms.*' imported but unused python/pyspark/mllib/tests/test_algorithms.py:295:5: F401 'pyspark.mllib.tests.test_algorithms.*' imported but unused python/pyspark/tests/test_serializers.py:90:13: F401 'xmlrunner' imported but unused python/pyspark/tests/test_rdd.py:21:1: F401 'sys' imported but unused python/pyspark/tests/test_rdd.py:29:1: F401 'pyspark.resource.ResourceProfile' imported but unused python/pyspark/tests/test_rdd.py:885:5: F401 'pyspark.tests.test_rdd.*' imported but unused python/pyspark/tests/test_readwrite.py:19:1: F401 'sys' imported but unused python/pyspark/tests/test_readwrite.py:22:1: F401 'array.array' imported but unused python/pyspark/tests/test_readwrite.py:309:5: F401 'pyspark.tests.test_readwrite.*' imported but unused python/pyspark/tests/test_join.py:62:5: F401 'pyspark.tests.test_join.*' imported but unused python/pyspark/tests/test_taskcontext.py:19:1: F401 'shutil' imported but unused python/pyspark/tests/test_taskcontext.py:325:5: F401 'pyspark.tests.test_taskcontext.*' imported but unused python/pyspark/tests/test_conf.py:36:5: F401 'pyspark.tests.test_conf.*' imported but unused python/pyspark/tests/test_broadcast.py:148:5: F401 'pyspark.tests.test_broadcast.*' imported but unused python/pyspark/tests/test_daemon.py:76:5: F401 'pyspark.tests.test_daemon.*' imported but unused python/pyspark/tests/test_util.py:77:5: F401 'pyspark.tests.test_util.*' imported but unused python/pyspark/tests/test_pin_thread.py:19:1: F401 'random' imported but unused python/pyspark/tests/test_pin_thread.py:149:5: F401 'pyspark.tests.test_pin_thread.*' imported but unused python/pyspark/tests/test_worker.py:19:1: F401 'sys' imported but unused python/pyspark/tests/test_worker.py:26:5: F401 'resource' imported but unused python/pyspark/tests/test_worker.py:203:5: F401 'pyspark.tests.test_worker.*' imported but unused python/pyspark/tests/test_profiler.py:101:5: F401 'pyspark.tests.test_profiler.*' imported but unused python/pyspark/tests/test_shuffle.py:18:1: F401 'sys' imported but unused python/pyspark/tests/test_shuffle.py:171:5: F401 'pyspark.tests.test_shuffle.*' imported but unused python/pyspark/tests/test_rddbarrier.py:43:5: F401 'pyspark.tests.test_rddbarrier.*' imported but unused python/pyspark/tests/test_context.py:129:13: F401 'userlibrary.UserClass' imported but unused python/pyspark/tests/test_context.py:140:13: F401 'userlib.UserClass' imported but unused python/pyspark/tests/test_context.py:310:5: F401 'pyspark.tests.test_context.*' imported but unused python/pyspark/tests/test_appsubmit.py:241:5: F401 'pyspark.tests.test_appsubmit.*' imported but unused python/pyspark/streaming/dstream.py:18:1: F401 'sys' imported but unused python/pyspark/streaming/tests/test_dstream.py:27:1: F401 'pyspark.RDD' imported but unused python/pyspark/streaming/tests/test_dstream.py:647:5: F401 'pyspark.streaming.tests.test_dstream.*' imported but unused python/pyspark/streaming/tests/test_kinesis.py:83:5: F401 'pyspark.streaming.tests.test_kinesis.*' imported but unused python/pyspark/streaming/tests/test_listener.py:152:5: F401 'pyspark.streaming.tests.test_listener.*' imported but unused python/pyspark/streaming/tests/test_context.py:178:5: F401 'pyspark.streaming.tests.test_context.*' imported but unused python/pyspark/testing/utils.py:30:5: F401 'scipy.sparse' imported but unused python/pyspark/testing/utils.py:36:5: F401 'numpy as np' imported but unused python/pyspark/ml/regression.py:25:1: F401 'pyspark.ml.tree._TreeEnsembleParams' imported but unused python/pyspark/ml/regression.py:25:1: F401 'pyspark.ml.tree._HasVarianceImpurity' imported but unused python/pyspark/ml/regression.py:29:1: F401 'pyspark.ml.wrapper.JavaParams' imported but unused python/pyspark/ml/util.py:19:1: F401 'sys' imported but unused python/pyspark/ml/__init__.py:25:1: F401 'pyspark.ml.pipeline' imported but unused python/pyspark/ml/pipeline.py:18:1: F401 'sys' imported but unused python/pyspark/ml/stat.py:22:1: F401 'pyspark.ml.linalg.DenseMatrix' imported but unused python/pyspark/ml/stat.py:22:1: F401 'pyspark.ml.linalg.Vectors' imported but unused python/pyspark/ml/tests/test_training_summary.py:18:1: F401 'sys' imported but unused python/pyspark/ml/tests/test_training_summary.py:364:5: F401 'pyspark.ml.tests.test_training_summary.*' imported but unused python/pyspark/ml/tests/test_linalg.py:381:5: F401 'pyspark.ml.tests.test_linalg.*' imported but unused python/pyspark/ml/tests/test_tuning.py:427:9: F401 'pyspark.sql.functions as F' imported but unused python/pyspark/ml/tests/test_tuning.py:757:5: F401 'pyspark.ml.tests.test_tuning.*' imported but unused python/pyspark/ml/tests/test_wrapper.py:120:5: F401 'pyspark.ml.tests.test_wrapper.*' imported but unused python/pyspark/ml/tests/test_feature.py:19:1: F401 'sys' imported but unused python/pyspark/ml/tests/test_feature.py:304:5: F401 'pyspark.ml.tests.test_feature.*' imported but unused python/pyspark/ml/tests/test_image.py:19:1: F401 'py4j' imported but unused python/pyspark/ml/tests/test_image.py:22:1: F401 'pyspark.testing.mlutils.PySparkTestCase' imported but unused python/pyspark/ml/tests/test_image.py:71:5: F401 'pyspark.ml.tests.test_image.*' imported but unused python/pyspark/ml/tests/test_persistence.py:456:5: F401 'pyspark.ml.tests.test_persistence.*' imported but unused python/pyspark/ml/tests/test_evaluation.py:56:5: F401 'pyspark.ml.tests.test_evaluation.*' imported but unused python/pyspark/ml/tests/test_stat.py:43:5: F401 'pyspark.ml.tests.test_stat.*' imported but unused python/pyspark/ml/tests/test_base.py:70:5: F401 'pyspark.ml.tests.test_base.*' imported but unused python/pyspark/ml/tests/test_param.py:20:1: F401 'sys' imported but unused python/pyspark/ml/tests/test_param.py:375:5: F401 'pyspark.ml.tests.test_param.*' imported but unused python/pyspark/ml/tests/test_pipeline.py:62:5: F401 'pyspark.ml.tests.test_pipeline.*' imported but unused python/pyspark/ml/tests/test_algorithms.py:333:5: F401 'pyspark.ml.tests.test_algorithms.*' imported but unused python/pyspark/ml/param/__init__.py:18:1: F401 'sys' imported but unused python/pyspark/resource/tests/test_resources.py:17:1: F401 'random' imported but unused python/pyspark/resource/tests/test_resources.py:20:1: F401 'pyspark.resource.ResourceProfile' imported but unused python/pyspark/resource/tests/test_resources.py:75:5: F401 'pyspark.resource.tests.test_resources.*' imported but unused python/pyspark/sql/functions.py:32:1: F401 'pyspark.sql.udf.UserDefinedFunction' imported but unused python/pyspark/sql/functions.py:34:1: F401 'pyspark.sql.pandas.functions.pandas_udf' imported but unused python/pyspark/sql/session.py:30:1: F401 'pyspark.sql.types.Row' imported but unused python/pyspark/sql/session.py:30:1: F401 'pyspark.sql.types.StringType' imported but unused python/pyspark/sql/readwriter.py:1084:5: F401 'pyspark.sql.Row' imported but unused python/pyspark/sql/context.py:26:1: F401 'pyspark.sql.types.IntegerType' imported but unused python/pyspark/sql/context.py:26:1: F401 'pyspark.sql.types.Row' imported but unused python/pyspark/sql/context.py:26:1: F401 'pyspark.sql.types.StringType' imported but unused python/pyspark/sql/context.py:27:1: F401 'pyspark.sql.udf.UDFRegistration' imported but unused python/pyspark/sql/streaming.py:1212:5: F401 'pyspark.sql.Row' imported but unused python/pyspark/sql/tests/test_utils.py:55:5: F401 'pyspark.sql.tests.test_utils.*' imported but unused python/pyspark/sql/tests/test_pandas_map.py:18:1: F401 'sys' imported but unused python/pyspark/sql/tests/test_pandas_map.py:22:1: F401 'pyspark.sql.functions.pandas_udf' imported but unused python/pyspark/sql/tests/test_pandas_map.py:22:1: F401 'pyspark.sql.functions.PandasUDFType' imported but unused python/pyspark/sql/tests/test_pandas_map.py:119:5: F401 'pyspark.sql.tests.test_pandas_map.*' imported but unused python/pyspark/sql/tests/test_catalog.py:193:5: F401 'pyspark.sql.tests.test_catalog.*' imported but unused python/pyspark/sql/tests/test_group.py:39:5: F401 'pyspark.sql.tests.test_group.*' imported but unused python/pyspark/sql/tests/test_session.py:361:5: F401 'pyspark.sql.tests.test_session.*' imported but unused python/pyspark/sql/tests/test_conf.py:49:5: F401 'pyspark.sql.tests.test_conf.*' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:19:1: F401 'sys' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:21:1: F401 'pyspark.sql.functions.sum' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:21:1: F401 'pyspark.sql.functions.PandasUDFType' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:29:5: F401 'pandas.util.testing.assert_series_equal' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:32:5: F401 'pyarrow as pa' imported but unused python/pyspark/sql/tests/test_pandas_cogrouped_map.py:248:5: F401 'pyspark.sql.tests.test_pandas_cogrouped_map.*' imported but unused python/pyspark/sql/tests/test_udf.py:24:1: F401 'py4j' imported but unused python/pyspark/sql/tests/test_pandas_udf_typehints.py:246:5: F401 'pyspark.sql.tests.test_pandas_udf_typehints.*' imported but unused python/pyspark/sql/tests/test_functions.py:19:1: F401 'sys' imported but unused python/pyspark/sql/tests/test_functions.py:362:9: F401 'pyspark.sql.functions.exists' imported but unused python/pyspark/sql/tests/test_functions.py:387:5: F401 'pyspark.sql.tests.test_functions.*' imported but unused python/pyspark/sql/tests/test_pandas_udf_scalar.py:21:1: F401 'sys' imported but unused python/pyspark/sql/tests/test_pandas_udf_scalar.py:45:5: F401 'pyarrow as pa' imported but unused python/pyspark/sql/tests/test_pandas_udf_window.py:355:5: F401 'pyspark.sql.tests.test_pandas_udf_window.*' imported but unused python/pyspark/sql/tests/test_arrow.py:38:5: F401 'pyarrow as pa' imported but unused python/pyspark/sql/tests/test_pandas_grouped_map.py:20:1: F401 'sys' imported but unused python/pyspark/sql/tests/test_pandas_grouped_map.py:38:5: F401 'pyarrow as pa' imported but unused python/pyspark/sql/tests/test_dataframe.py:382:9: F401 'pyspark.sql.DataFrame' imported but unused python/pyspark/sql/avro/functions.py:125:5: F401 'pyspark.sql.Row' imported but unused python/pyspark/sql/pandas/functions.py:19:1: F401 'sys' imported but unused ``` After: ``` fokkodriesprongFan spark % flake8 python | grep -i "imported but unused" fokkodriesprongFan spark % ``` ### What changes were proposed in this pull request? Removing unused imports from the Python files to keep everything nice and tidy. ### Why are the changes needed? Cleaning up of the imports that aren't used, and suppressing the imports that are used as references to other modules, preserving backward compatibility. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Adding the rule to the existing Flake8 checks. Closes #29121 from Fokko/SPARK-32319. Authored-by: Fokko Driesprong <fokko@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2020-08-08 11:51:57 -04:00
from pyspark.sql.tests.test_utils import * # noqa: F401
[SPARK-26032][PYTHON] Break large sql/tests.py files into smaller files ## What changes were proposed in this pull request? This is the official first attempt to break huge single `tests.py` file - I did it locally before few times and gave up for some reasons. Now, currently it really makes the unittests super hard to read and difficult to check. To me, it even bothers me to to scroll down the big file. It's one single 7000 lines file! This is not only readability issue. Since one big test takes most of tests time, the tests don't run in parallel fully - although it will costs to start and stop the context. We could pick up one example and follow. Given my investigation, the current style looks closer to NumPy structure and looks easier to follow. Please see https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/sql/tests.py` into ...: ```bash pyspark ... ├── sql ... │   ├── tests # Includes all tests broken down from 'pyspark/sql/tests.py' │ │  │ # Each matchs to module in 'pyspark/sql'. Additionally, some logical group can │ │  │ # be added. For instance, 'test_arrow.py', 'test_datasources.py' ... │   │   ├── __init__.py │   │   ├── test_appsubmit.py │   │   ├── test_arrow.py │   │   ├── test_catalog.py │   │   ├── test_column.py │   │   ├── test_conf.py │   │   ├── test_context.py │   │   ├── test_dataframe.py │   │   ├── test_datasources.py │   │   ├── test_functions.py │   │   ├── test_group.py │   │   ├── test_pandas_udf.py │   │   ├── test_pandas_udf_grouped_agg.py │   │   ├── test_pandas_udf_grouped_map.py │   │   ├── test_pandas_udf_scalar.py │   │   ├── test_pandas_udf_window.py │   │   ├── test_readwriter.py │   │   ├── test_serde.py │   │   ├── test_session.py │   │   ├── test_streaming.py │   │   ├── test_types.py │   │   ├── test_udf.py │   │   └── test_utils.py ... ├── testing # Includes testing utils that can be used in unittests. │   ├── __init__.py │   └── sqlutils.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and `./run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ``` SPARK_TESTING=1 ./bin/pyspark pyspark.sql.tests.test_pandas_udf_scalar ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23021 from HyukjinKwon/SPARK-25344. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-11-14 01:51:11 -05:00
try:
import xmlrunner
[SPARK-28130][PYTHON] Print pretty messages for skipped tests when xmlrunner is available in PySpark ## What changes were proposed in this pull request? Currently, pretty skipped message added by https://github.com/apache/spark/commit/f7435bec6a9348cfbbe26b13c230c08545d16067 mechanism seems not working when xmlrunner is installed apparently. This PR fixes two things: 1. When `xmlrunner` is installed, seems `xmlrunner` does not respect `vervosity` level in unittests (default is level 1). So the output looks as below ``` Running tests... ---------------------------------------------------------------------- SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS ---------------------------------------------------------------------- ``` So it is not caught by our message detection mechanism. 2. If we manually set the `vervocity` level to `xmlrunner`, it prints messages as below: ``` test_mixed_udf (pyspark.sql.tests.test_pandas_udf_scalar.ScalarPandasUDFTests) ... SKIP (0.000s) test_mixed_udf_and_sql (pyspark.sql.tests.test_pandas_udf_scalar.ScalarPandasUDFTests) ... SKIP (0.000s) ... ``` This is different in our Jenkins machine: ``` test_createDataFrame_column_name_encoding (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.23.2 must be installed; however, it was not found.' test_createDataFrame_does_not_modify_input (pyspark.sql.tests.test_arrow.ArrowTests) ... skipped 'Pandas >= 0.23.2 must be installed; however, it was not found.' ... ``` Note that last `SKIP` is different. This PR fixes the regular expression to catch `SKIP` case as well. ## How was this patch tested? Manually tested. **Before:** ``` Starting test(python2.7): pyspark.... Finished test(python2.7): pyspark.... (0s) ... Tests passed in 562 seconds ======================================================================== ... ``` **After:** ``` Starting test(python2.7): pyspark.... Finished test(python2.7): pyspark.... (48s) ... 93 tests were skipped ... Tests passed in 560 seconds Skipped tests pyspark.... with python2.7: pyspark...(...) ... SKIP (0.000s) ... ======================================================================== ... ``` Closes #24927 from HyukjinKwon/SPARK-28130. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-06-23 20:58:17 -04:00
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
[SPARK-26032][PYTHON] Break large sql/tests.py files into smaller files ## What changes were proposed in this pull request? This is the official first attempt to break huge single `tests.py` file - I did it locally before few times and gave up for some reasons. Now, currently it really makes the unittests super hard to read and difficult to check. To me, it even bothers me to to scroll down the big file. It's one single 7000 lines file! This is not only readability issue. Since one big test takes most of tests time, the tests don't run in parallel fully - although it will costs to start and stop the context. We could pick up one example and follow. Given my investigation, the current style looks closer to NumPy structure and looks easier to follow. Please see https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/sql/tests.py` into ...: ```bash pyspark ... ├── sql ... │   ├── tests # Includes all tests broken down from 'pyspark/sql/tests.py' │ │  │ # Each matchs to module in 'pyspark/sql'. Additionally, some logical group can │ │  │ # be added. For instance, 'test_arrow.py', 'test_datasources.py' ... │   │   ├── __init__.py │   │   ├── test_appsubmit.py │   │   ├── test_arrow.py │   │   ├── test_catalog.py │   │   ├── test_column.py │   │   ├── test_conf.py │   │   ├── test_context.py │   │   ├── test_dataframe.py │   │   ├── test_datasources.py │   │   ├── test_functions.py │   │   ├── test_group.py │   │   ├── test_pandas_udf.py │   │   ├── test_pandas_udf_grouped_agg.py │   │   ├── test_pandas_udf_grouped_map.py │   │   ├── test_pandas_udf_scalar.py │   │   ├── test_pandas_udf_window.py │   │   ├── test_readwriter.py │   │   ├── test_serde.py │   │   ├── test_session.py │   │   ├── test_streaming.py │   │   ├── test_types.py │   │   ├── test_udf.py │   │   └── test_utils.py ... ├── testing # Includes testing utils that can be used in unittests. │   ├── __init__.py │   └── sqlutils.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and `./run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ``` SPARK_TESTING=1 ./bin/pyspark pyspark.sql.tests.test_pandas_udf_scalar ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23021 from HyukjinKwon/SPARK-25344. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
2018-11-14 01:51:11 -05:00
except ImportError:
2018-11-14 23:30:52 -05:00
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)