# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import, division, print_function from tests.common.impala_connection import IMPALA_CONNECTION_EXCEPTION from tests.common.impala_test_suite import ImpalaTestSuite from tests.common.test_dimensions import create_single_exec_option_dimension from tests.common.test_dimensions import create_uncompressed_text_dimension class TestScratchLimit(ImpalaTestSuite): """ This class tests the functionality of setting the scratch limit as a query option """ spilling_sort_query = """ select o_orderdate, o_custkey, o_comment from tpch.orders order by o_orderdate """ spilling_agg_query = """ select count(*) from ( select distinct o_orderdate, o_custkey, o_comment from tpch_parquet.orders) v; """ spilling_join_query = """ select count(*) from tpch_parquet.lineitem join tpch_parquet.orders on l_orderkey = o_orderkey """ # The analytic function in this query spills, but the sort generally spills first. # Ideally we would have a spilling analytic without a sort to exercise it in isolation. spilling_analytic_query = """ SELECT i_item_sk, i_current_price, SUM (i_current_price) OVER (ORDER BY i_item_sk rows between 500000 preceding and 500000 following) running_total FROM tpcds_parquet.item ORDER BY i_brand, i_item_sk; """ spilling_queries = [spilling_sort_query, spilling_agg_query, spilling_join_query, spilling_analytic_query] # Buffer pool limit that is low enough to force Impala to spill to disk when executing # spill_query. buffer_pool_limit = "32m" @classmethod def add_test_dimensions(cls): super(TestScratchLimit, cls).add_test_dimensions() # There is no reason to run these tests using all dimensions. cls.ImpalaTestMatrix.add_dimension(create_single_exec_option_dimension()) cls.ImpalaTestMatrix.add_dimension( create_uncompressed_text_dimension(cls.get_workload())) def test_with_high_scratch_limit(self, vector): """ Sort query runs to completion with a scratch limit well above its required scratch space which in this case is 128m. """ exec_option = vector.get_value('exec_option') exec_option['buffer_pool_limit'] = self.buffer_pool_limit exec_option['scratch_limit'] = '500m' self.execute_query_expect_success(self.client, self.spilling_sort_query, exec_option) def test_with_low_scratch_limit(self, vector): """ Sort query throws the appropriate exception with a scratch limit well below its required scratch space which in this case is 128m. """ exec_option = vector.get_value('exec_option') exec_option['buffer_pool_limit'] = self.buffer_pool_limit exec_option['scratch_limit'] = '24m' expected_error = 'Scratch space limit of %s bytes exceeded' scratch_limit_in_bytes = 24 * 1024 * 1024 try: self.execute_query(self.spilling_sort_query, exec_option) assert False, "Query was expected to fail" except IMPALA_CONNECTION_EXCEPTION as e: assert expected_error % scratch_limit_in_bytes in str(e) def test_with_zero_scratch_limit(self, vector): """ Queries throws the appropriate exception with a scratch limit of zero which means no scratch space can be allocated. """ exec_option = vector.get_value('exec_option') exec_option['buffer_pool_limit'] = self.buffer_pool_limit exec_option['scratch_limit'] = '0' for query in self.spilling_queries: self.execute_query_expect_failure(query, exec_option) def test_with_unlimited_scratch_limit(self, vector): """ Sort query runs to completion with a scratch Limit of -1 means default/no limit. """ exec_option = vector.get_value('exec_option') exec_option['buffer_pool_limit'] = self.buffer_pool_limit exec_option['scratch_limit'] = '-1' self.execute_query_expect_success(self.client, self.spilling_sort_query, exec_option) def test_without_specifying_scratch_limit(self, vector): """ Sort query runs to completion with the default setting of no scratch limit. """ exec_option = vector.get_value('exec_option') exec_option['buffer_pool_limit'] = self.buffer_pool_limit self.execute_query_expect_success(self.client, self.spilling_sort_query, exec_option) def test_with_zero_scratch_limit_no_memory_limit(self, vector): """ Queries run to completion without spilling as there is no limit on block memory manger. Scratch limit of zero ensures spilling is disabled. """ exec_option = vector.get_value('exec_option') exec_option['scratch_limit'] = '0' for query in self.spilling_queries: self.execute_query_expect_success(self.client, query, exec_option) def test_result_spooling_and_varying_scratch_limit(self, vector): """ IMPALA-9856 make result spooling default. Since result spooling depends on ability to spill to disk, query option scratch_limit may affect memory configuration of result spooling feature. This test vary scratch_limit and verify the memory adjustment. """ self.run_test_case('QueryTest/scratch-limit', vector)