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50 lines
2.0 KiB
Python
Executable File
50 lines
2.0 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright (c) 2012 Cloudera, Inc. All rights reserved.
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# Targeted Impala insert tests
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#
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import logging
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import pytest
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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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from tests.common.test_dimensions import create_exec_option_dimension
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class TestInsertQueriesWithPermutation(ImpalaTestSuite):
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"""
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Tests for the column permutation feature of INSERT statements
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"""
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@classmethod
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def get_workload(self):
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return 'functional-query'
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@classmethod
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def add_test_dimensions(cls):
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super(TestInsertQueriesWithPermutation, cls).add_test_dimensions()
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# Fix the exec_option vector to have a single value. This is needed should we decide
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# to run the insert tests in parallel (otherwise there will be two tests inserting
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# into the same table at the same time for the same file format).
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# TODO: When we do decide to run these tests in parallel we could create unique temp
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# tables for each test case to resolve the concurrency problems.
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cls.TestMatrix.add_dimension(create_exec_option_dimension(
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cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0]))
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# Insert is currently only supported for text and parquet
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cls.TestMatrix.add_constraint(lambda v:\
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v.get_value('table_format').file_format in ['text'])
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cls.TestMatrix.add_constraint(lambda v:\
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v.get_value('table_format').compression_codec == 'none')
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@pytest.mark.execute_serially
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def test_insert_permutation(self, vector):
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self.run_test_case('QueryTest/insert_permutation', vector)
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def teardown_method(self, method):
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map(self.cleanup_db, ["insert_permutation_test"])
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def cleanup_db(cls, db_name):
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# TODO: Find a common place to put this method
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# To drop a db, we need to first drop all the tables in that db
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if db_name in cls.hive_client.get_all_databases():
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for table_name in cls.hive_client.get_all_tables(db_name):
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cls.hive_client.drop_table(db_name, table_name, True)
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cls.hive_client.drop_database(db_name, True, False)
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cls.client.refresh()
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