def add_test_dimensions(cls):
super(TestFetchAndSpooling, cls).add_test_dimensions()
# Result fetching should be independent of file format, so only test against
# Parquet files.
cls.ImpalaTestMatrix.add_constraint(lambda v:
v.get_value('table_format').file_format == 'parquet')
extend_exec_option_dimension(cls, 'spool_query_results', 'true')
def add_test_dimensions(cls):
super(TestLimitPushdownAnalyticFunctional, cls).add_test_dimensions()
cls.ImpalaTestMatrix.add_dimension(create_single_exec_option_dimension())
# Also run with num_nodes=1 because it's easier to reproduce IMPALA-10296.
extend_exec_option_dimension(cls, 'num_nodes', 1)
cls.ImpalaTestMatrix.add_constraint(lambda v:
v.get_value('table_format').file_format in ['parquet'])
def add_test_dimensions(cls):
super(TestHdfsQueries, cls).add_test_dimensions()
# Kudu doesn't support AllTypesAggMultiFilesNoPart (KUDU-1271, KUDU-1570).
cls.ImpalaTestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format != 'kudu')
# Adding a test dimension here to test the small query opt in exhaustive.
if cls.exploration_strategy() == 'exhaustive':
extend_exec_option_dimension(cls, "exec_single_node_rows_threshold", "100")
def add_test_dimensions(cls):
super(TestQueries, cls).add_test_dimensions()
if cls.exploration_strategy() == 'core':
cls.ImpalaTestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format == 'parquet')
# Adding a test dimension here to test the small query opt in exhaustive.
if cls.exploration_strategy() == 'exhaustive':
extend_exec_option_dimension(cls, "exec_single_node_rows_threshold", "100")
def add_test_dimensions(cls):
super(TestHdfsQueries, cls).add_test_dimensions()
# Kudu doesn't support AllTypesAggMultiFilesNoPart (KUDU-1271, KUDU-1570).
cls.ImpalaTestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format != 'kudu')
# Adding a test dimension here to test the small query opt in exhaustive.
if cls.exploration_strategy() == 'exhaustive':
extend_exec_option_dimension(cls, "exec_single_node_rows_threshold", "100")
def add_test_dimensions(cls):
super(TestQueries, cls).add_test_dimensions()
if cls.exploration_strategy() == 'core':
cls.ImpalaTestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format == 'parquet')
# Run these queries through both beeswax and HS2 to get coverage of both protocols.
# Don't run all combinations of table format and protocol - the dimensions should
# be orthogonal.
cls.ImpalaTestMatrix.add_dimension(create_beeswax_hs2_dimension())
cls.ImpalaTestMatrix.add_constraint(hs2_parquet_constraint)
# Adding a test dimension here to test the small query opt in exhaustive.
if cls.exploration_strategy() == 'exhaustive':
extend_exec_option_dimension(cls, "exec_single_node_rows_threshold", "100")
def add_test_dimensions(cls):
super(TestQueries, cls).add_test_dimensions()
if cls.exploration_strategy() == 'core':
cls.ImpalaTestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format == 'parquet')
# Run these queries through both beeswax and HS2 to get coverage of both protocols.
# Don't run all combinations of table format and protocol - the dimensions should
# be orthogonal.
cls.ImpalaTestMatrix.add_dimension(create_beeswax_hs2_dimension())
cls.ImpalaTestMatrix.add_constraint(hs2_parquet_constraint)
# Adding a test dimension here to test the small query opt in exhaustive.
if cls.exploration_strategy() == 'exhaustive':
extend_exec_option_dimension(cls, "exec_single_node_rows_threshold", "100")
