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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>
54 lines
2.6 KiB
Python
54 lines
2.6 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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from __future__ import absolute_import, division, print_function
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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.skip import SkipIfFS
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@SkipIfFS.variable_listing_times
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class TestDebugActions(ImpalaTestSuite):
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@pytest.mark.execute_serially
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def test_catalogd_debug_actions(self, unique_database):
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self.client.execute("refresh tpcds.store_sales")
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self.client.execute(
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"create table {0}.test like functional.alltypes".format(unique_database))
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self.client.execute("insert into {0}.test partition (year,month) "
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"select * from functional.alltypes".format(unique_database))
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self.client.execute("compute stats {0}.test".format(unique_database))
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self.__run_debug_action("refresh tpcds.store_sales",
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debug_action="catalogd_refresh_hdfs_listing_delay:SLEEP@50", delta=2000)
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self.__run_debug_action("refresh tpcds.store_sales",
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debug_action="catalogd_refresh_hdfs_listing_delay:JITTER@50@0.75", delta=1000)
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self.__run_debug_action(
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"alter table {0}.test recover partitions".format(unique_database),
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debug_action="catalogd_table_recover_delay:SLEEP@3000", delta=2000)
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# the variance of compute stats statement could itself be within few hundred
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# millisecs hence adding additional delay of 4000 doesn't necessarily slow down the
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# query by 4000 ms always.
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self.__run_debug_action("compute stats {0}.test".format(unique_database),
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debug_action="catalogd_update_stats_delay:SLEEP@4000", delta=3000)
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def __run_debug_action(self, query, debug_action, delta):
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"""Test makes sure that the given debug_action is set is indeed causing the query
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to run slower."""
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time_taken_before = self.exec_and_time(query)
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time_taken_after = self.exec_and_time(query, {"debug_action": debug_action})
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assert (time_taken_after - time_taken_before) > delta
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