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Many python files had a hashbang and the executable bit set though they were not intended to be run a standalone script. That makes determining which python files are actually scripts very difficult. A future patch will update the hashbang in real python scripts so they use $IMPALA_HOME/bin/impala-python. Change-Id: I04eafdc73201feefe65b85817a00474e182ec2ba Reviewed-on: http://gerrit.cloudera.org:8080/599 Reviewed-by: Casey Ching <casey@cloudera.com> Reviewed-by: Taras Bobrovytsky <tbobrovytsky@cloudera.com> Tested-by: Internal Jenkins
46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# Copyright (c) 2014 Cloudera, Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Targeted tests to validate analytic functions use TPCDS dataset.
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import logging
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import pytest
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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, TestDimension
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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.TestMatrix.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.TestMatrix.add_dimension(TestDimension('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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