Wenzhe Zhou created IMPALA-12429:
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Summary: TestTpcdsQueryWithProcessingCost.test_tpcds_q51a failed
in data-cache build
Key: IMPALA-12429
URL: https://issues.apache.org/jira/browse/IMPALA-12429
Project: IMPALA
Issue Type: Bug
Components: Frontend
Reporter: Wenzhe Zhou
Assignee: Riza Suminto
The test failed after the patch for IMPALA-12408 (Optimize
HdfsScanNode.computeScanRangeLocations) was merged. It may be related.
Stacktrace
{code:java}
query_test/test_tpcds_queries.py:196: in test_tpcds_q51a
self.run_test_case(self.get_workload() + '-q51a', vector)
common/impala_test_suite.py:718: in run_test_case
result = exec_fn(query, user=test_section.get('USER', '').strip() or None)
common/impala_test_suite.py:656: in __exec_in_impala
result = self.__execute_query(target_impalad_client, query, user=user)
common/impala_test_suite.py:992: in __execute_query
return impalad_client.execute(query, user=user)
common/impala_connection.py:214: in execute
return self.__beeswax_client.execute(sql_stmt, user=user)
beeswax/impala_beeswax.py:191: in execute
handle = self.__execute_query(query_string.strip(), user=user)
beeswax/impala_beeswax.py:369: in __execute_query
self.wait_for_finished(handle)
beeswax/impala_beeswax.py:390: in wait_for_finished
raise ImpalaBeeswaxException("Query aborted:" + error_log, None)
E ImpalaBeeswaxException: ImpalaBeeswaxException:
E Query aborted:Failed to get minimum memory reservation of 2.82 GB on
daemon impala-ec2-centos79-m6i-4xlarge-ondemand-0c5c.vpc.cloudera.com:27000 for
query 95482fe28499fbef:6bed6d8400000000 due to following error: Memory limit
exceeded: Could not allocate memory while trying to increase reservation.
E Query(95482fe28499fbef:6bed6d8400000000) could not allocate 2.82 GB without
exceeding limit.
E Error occurred on backend
impala-ec2-centos79-m6i-4xlarge-ondemand-0c5c.vpc.cloudera.com:27000
E Memory left in process limit: 3.63 GB
E Query(95482fe28499fbef:6bed6d8400000000): Reservation=0
ReservationLimit=9.60 GB OtherMemory=0 Total=0 Peak=0
E Memory is likely oversubscribed. Reducing query concurrency or configuring
admission control may help avoid this error.
{code}
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