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bb3feb675e
This patch scales down the amount of buffering in the io mgr and the number of scanner threads if the query is close to mem limits. Change-Id: I68ef247a68642939b98ec7c429dfd393b23a20d2 Reviewed-on: http://gerrit.ent.cloudera.com:8080/1906 Reviewed-by: Nong Li <nong@cloudera.com> Tested-by: jenkins Reviewed-on: http://gerrit.ent.cloudera.com:8080/2417
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2012 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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import pytest
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import sys
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import re
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from copy import copy
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from tests.beeswax.impala_beeswax import ImpalaBeeswaxException
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from tests.common.test_vector import *
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from tests.common.impala_test_suite import *
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class TestQueryMemLimitScaling(ImpalaTestSuite):
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"""Test class to do functional validation of per query memory limits. """
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QUERY = ["select * from lineitem where l_orderkey = -1",
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"select min(l_orderkey) from lineitem",
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"select * from lineitem order by l_orderkey limit 1"]
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# These query take 400mb-1gb if no mem limits are set
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MEM_LIMITS = ["-1", "400m", "150m"]
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@classmethod
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def get_workload(self):
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return 'tpch'
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@classmethod
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def add_test_dimensions(cls):
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super(TestQueryMemLimitScaling, cls).add_test_dimensions()
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# add mem_limit as a test dimension.
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new_dimension = TestDimension('mem_limit', *TestQueryMemLimitScaling.MEM_LIMITS)
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cls.TestMatrix.add_dimension(new_dimension)
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# Test running with different mem limits to exercise the dynamic memory
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# scaling functionality.
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def test_mem_usage_scaling(self, vector):
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mem_limit = copy(vector.get_value('mem_limit'))
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table_format = vector.get_value('table_format')
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exec_options = copy(vector.get_value('exec_option'))
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exec_options['mem_limit'] = mem_limit
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for query in self.QUERY:
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self.execute_query(query, exec_options, table_format=table_format)
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