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f590bc0da6
This patch addresses warning messages from pytest re: the imported
TestMatrix, TestVector, and TestDimension classes, which were being
collected as potential test classes. The fix was to simply prepend
the class names with Impala-
git grep -l 'TestDimension' | xargs \
sed -i 's/TestDimension/ImpalaTestDimension/g'
git grep -l 'TestMatrix' | xargs \
sed -i 's/TestMatrix/ImpalaTestMatrix/g'
git grep -l 'TestVector' | xargs \
sed -i 's/TestVector/ImpalaTestVector/g'
The tests all passed in an exhaustive run on the upstream jenkins
server:
http://jenkins.impala.io:8080/view/Utility/job/pre-review-test/8/
Change-Id: I06b7bc6fd99fbb637a47ba376bf9830705c1fce1
Reviewed-on: http://gerrit.cloudera.org:8080/5794
Reviewed-by: Michael Brown <mikeb@cloudera.com>
Reviewed-by: Jim Apple <jbapple-impala@apache.org>
Tested-by: Impala Public Jenkins
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# Targeted tests to validate analytic functions use TPCDS dataset.
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from tests.common.impala_test_suite import ImpalaTestSuite
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from tests.common.test_dimensions import create_parquet_dimension, ImpalaTestDimension
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class TestAnalyticTpcds(ImpalaTestSuite):
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"""Test class to do functional validation of analytic functions.
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Batch size parameter is varied if the exploration strategy is exhaustive.
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"""
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@classmethod
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def get_workload(self):
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return 'functional-query'
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@classmethod
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def add_test_dimensions(cls):
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super(TestAnalyticTpcds, cls).add_test_dimensions()
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cls.ImpalaTestMatrix.add_dimension(create_parquet_dimension('tpcds'))
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if cls.exploration_strategy() == 'exhaustive':
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batch_size = [1, 3, 10, 100, 0]
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else:
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batch_size = [0]
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cls.ImpalaTestMatrix.add_dimension(ImpalaTestDimension('batch_size', *batch_size))
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def test_analytic_functions_tpcds(self, vector):
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vector.get_value('exec_option')['batch_size'] = vector.get_value('batch_size')
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self.run_test_case('QueryTest/analytic-fns-tpcds', vector)
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