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With this change the Python tests will now be called as part of buildall and the corresponding Java tests have been disabled. The new tests can also be invoked calling ./tests/run-tests.sh directly. This includes a fix from Nong that caused wrong results for limit on non-io manager formats.
52 lines
2.2 KiB
Python
52 lines
2.2 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2012 Cloudera, Inc. All rights reserved.
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# py.test configuration module
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#
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import logging
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logging.basicConfig(level=logging.INFO, format='%(threadName)s: %(message)s')
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LOG = logging.getLogger('test_configuration')
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def pytest_addoption(parser):
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"""Adds a new command line options to py.test"""
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parser.addoption("--exploration_strategy", default="core", help=\
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"Exploration strategy for tests - core, pairwise, or exhaustive.")
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parser.addoption("--impalad", default="localhost:21000", help=\
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"The impalad host:port to run tests against.")
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parser.addoption("--hive_server", default="localhost:10000", help=\
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"The hive server host:port to connect to.")
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parser.addoption("--update_results", action="store_true", default=False, help=\
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"If set, will generate new results for all tests run instead of "\
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"verifying the results.")
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parser.addoption("--file_format_filter", default=None, help=\
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"Run tests only using the specified file format")
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def pytest_generate_tests(metafunc):
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"""
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This is a hook to parameterize the tests based on the input vector.
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If a test has the 'vector' fixture specified, this code is invoked and it will build
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a set of test vectors to parameterize the test with.
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"""
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if 'vector' in metafunc.fixturenames:
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metafunc.cls.add_test_dimensions()
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if metafunc.config.option.file_format_filter:
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file_formats = metafunc.config.option.file_format_filter.split(',')
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metafunc.cls.TestMatrix.add_constraint(lambda v:\
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v.get_value('table_format').file_format in file_formats)
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vectors = metafunc.cls.TestMatrix.generate_test_vectors(
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metafunc.config.option.exploration_strategy)
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if len(vectors) == 0:
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LOG.warning('No test vectors generated. Check constraints and input vectors')
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vector_names = ['%s' % vector for vector in vectors]
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# In the case this is a test result update, just select a single test vector to run
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# the results are expected to be the same in all cases
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if metafunc.config.option.update_results:
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vectors = vectors[0:1]
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vector_names = vector_names[0:1]
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metafunc.parametrize('vector', vectors, ids=vector_names)
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