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82bd087fb1
This takes steps to make Python 2 behave like Python 3 as
a way to flush out issues with running on Python 3. Specifically,
it handles two main differences:
1. Python 3 requires absolute imports within packages. This
can be emulated via "from __future__ import absolute_import"
2. Python 3 changed division to "true" division that doesn't
round to an integer. This can be emulated via
"from __future__ import division"
This changes all Python files to add imports for absolute_import
and division. For completeness, this also includes print_function in the
import.
I scrutinized each old-division location and converted some locations
to use the integer division '//' operator if it needed an integer
result (e.g. for indices, counts of records, etc). Some code was also using
relative imports and needed to be adjusted to handle absolute_import.
This fixes all Pylint warnings about no-absolute-import and old-division,
and these warnings are now banned.
Testing:
- Ran core tests
Change-Id: Idb0fcbd11f3e8791f5951c4944be44fb580e576b
Reviewed-on: http://gerrit.cloudera.org:8080/19588
Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
Tested-by: Joe McDonnell <joemcdonnell@cloudera.com>
51 lines
1.9 KiB
Python
51 lines
1.9 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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# Targeted performance tests.
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# These queries are already run as part of our performance benchmarking.
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# Additionally, we don't get any 'extra' coverage from them, so they're
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# not an essential part of functional verification.
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from __future__ import absolute_import, division, print_function
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from tests.common.impala_test_suite import ImpalaTestSuite
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class TestTargetedPerf(ImpalaTestSuite):
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@classmethod
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def get_workload(cls):
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return 'targeted-perf'
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@classmethod
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def add_test_dimensions(cls):
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super(TestTargetedPerf, cls).add_test_dimensions()
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cls.ImpalaTestMatrix.add_constraint(
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lambda v: v.get_value('exec_option')['batch_size'] == 0)
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def test_perf_aggregation(self, vector):
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self.run_test_case('aggregation', vector)
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def test_perf_limit(self, vector):
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self.run_test_case('limit', vector)
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def test_perf_string(self, vector):
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self.run_test_case('string', vector)
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def test_perf_cancel_union(self, vector):
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self.run_test_case('primitive_cancel_union', vector)
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def test_perf_topn_partitioned(self, vector):
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self.run_test_case('primitive_top-n_partitioned', vector)
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