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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
101 lines
4.2 KiB
Python
101 lines
4.2 KiB
Python
# 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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# Targeted tests to validate per-query memory limit.
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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 TestQueryMemLimit(ImpalaTestSuite):
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"""Test class to do functional validation of per query memory limits.
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A specific query is run on text files, with the memory limit being added as
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an extra dimension. The query is expected to fail/pass depending on the limit
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value.
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"""
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# There are a lot of 'unique' comments in lineitem.
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# Almost 80% of the table size.
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QUERIES = ["select count(distinct l_comment) from lineitem",
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"select group_concat(l_linestatus) from lineitem"]
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# TODO: It will be nice if we can get how much memory a query uses
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# dynamically, even if it is a rough approximation.
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# A mem_limit is expressed in bytes, with values <= 0 signifying no cap.
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# These values are either really small, unlimited, or have a really large cap.
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MAXINT_BYTES = str(sys.maxint)
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MAXINT_MB = str(sys.maxint/(1024*1024))
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MAXINT_GB = str(sys.maxint/(1024*1024*1024))
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# We expect the tests with MAXINT_* using valid units [bmg] to succeed.
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PASS_REGEX = re.compile("(%s|%s|%s)[bmg]?$" % (MAXINT_BYTES, MAXINT_MB, MAXINT_GB),
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re.I)
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MEM_LIMITS = ["-1", "0", "1", "10", "100", "1000", "10000", MAXINT_BYTES,
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MAXINT_BYTES + "b", MAXINT_BYTES + "B",
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MAXINT_MB + "m", MAXINT_MB + "M",
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MAXINT_GB + "g", MAXINT_GB + "G",
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# invalid per-query memory limits
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"-1234", "-3.14", "xyz", "100%", MAXINT_BYTES + "k", "k" + MAXINT_BYTES]
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MEM_LIMITS_CORE = ["-1", "0", "10000", MAXINT_BYTES,
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MAXINT_BYTES + "b", MAXINT_MB + "M", MAXINT_GB + "g"]
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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(TestQueryMemLimit, cls).add_test_dimensions()
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# Only run the query for text
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cls.TestMatrix.add_dimension(create_uncompressed_text_dimension(cls.get_workload()))
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# add mem_limit as a test dimension.
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if cls.exploration_strategy() == 'core':
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cls.TestMatrix.add_dimension(\
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TestDimension('mem_limit', *TestQueryMemLimit.MEM_LIMITS_CORE))
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else:
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cls.TestMatrix.add_dimension(\
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TestDimension('mem_limit', *TestQueryMemLimit.MEM_LIMITS))
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# Make query a test dimension so we can support more queries.
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cls.TestMatrix.add_dimension(TestDimension('query', *TestQueryMemLimit.QUERIES))
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# This query takes a very long time to finish with a bound on the batch_size.
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# Remove the bound on the batch size.
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cls.TestMatrix.add_constraint(lambda v: v.get_value('exec_option')['batch_size'] == 0)
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@pytest.mark.execute_serially
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def test_mem_limit(self, vector):
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mem_limit = copy(vector.get_value('mem_limit'))
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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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query = vector.get_value('query')
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table_format = vector.get_value('table_format')
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if mem_limit in["0", "-1"] or self.PASS_REGEX.match(mem_limit):
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# should succeed
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self.__exec_query(query, exec_options, True, table_format)
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else:
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# should fail
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self.__exec_query(query, exec_options, False, table_format)
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def __exec_query(self, query, exec_options, should_succeed, table_format):
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try:
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self.execute_query(query, exec_options, table_format=table_format)
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assert should_succeed, "Query was expected to fail"
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except ImpalaBeeswaxException, e:
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assert not should_succeed, "Query should not have failed: %s" % e
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