[ https://issues.apache.org/jira/browse/IMPALA-8178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Sherman updated IMPALA-8178: ----------------------------------- Labels: broken-build (was: ) > Tests failing with “Could not allocate memory while trying to increase > reservation” on EC filesystem > ---------------------------------------------------------------------------------------------------- > > Key: IMPALA-8178 > URL: https://issues.apache.org/jira/browse/IMPALA-8178 > Project: IMPALA > Issue Type: Bug > Reporter: Andrew Sherman > Assignee: Andrew Sherman > Priority: Major > Labels: broken-build > > In tests run against an Erasure Coding filesystem, multiple tests failed with > memory allocation errors. > In total 10 tests failed: > * query_test.test_scanners.TestParquet.test_decimal_encodings > * query_test.test_scanners.TestTpchScanRangeLengths.test_tpch_scan_ranges > * query_test.test_exprs.TestExprs.test_exprs [enable_expr_rewrites: 0] > * query_test.test_exprs.TestExprs.test_exprs [enable_expr_rewrites: 1] > * query_test.test_hbase_queries.TestHBaseQueries.test_hbase_scan_node > * query_test.test_scanners.TestParquet.test_def_levels > * > query_test.test_scanners.TestTextSplitDelimiters.test_text_split_across_buffers_delimiterquery_test.test_hbase_queries.TestHBaseQueries.test_hbase_filters > * query_test.test_hbase_queries.TestHBaseQueries.test_hbase_inline_views > * query_test.test_hbase_queries.TestHBaseQueries.test_hbase_top_n > The first failure looked like this on the client side: > {quote} > F > query_test/test_scanners.py::TestParquet::()::test_decimal_encodings[protocol: > beeswax | exec_option: {'batch_size': 0, 'num_nodes': 0, > 'disable_codegen_rows_threshold': 0, 'disable_codegen': True, > 'abort_on_error': 1, 'debug_action': > '-1:OPEN:SET_DENY_RESERVATION_PROBABILITY@0.5', > 'exec_single_node_rows_threshold': 0} | table_format: parquet/none] > query_test/test_scanners.py:717: in test_decimal_encodings > self.run_test_case('QueryTest/parquet-decimal-formats', vector, > unique_database) > common/impala_test_suite.py:472: in run_test_case > result = self.__execute_query(target_impalad_client, query, user=user) > common/impala_test_suite.py:699: in __execute_query > return impalad_client.execute(query, user=user) > common/impala_connection.py:174: in execute > return self.__beeswax_client.execute(sql_stmt, user=user) > beeswax/impala_beeswax.py:183: in execute > handle = self.__execute_query(query_string.strip(), user=user) > beeswax/impala_beeswax.py:360: in __execute_query > self.wait_for_finished(handle) > beeswax/impala_beeswax.py:381: in wait_for_finished > raise ImpalaBeeswaxException("Query aborted:" + error_log, None) > E ImpalaBeeswaxException: ImpalaBeeswaxException: > E Query aborted:ExecQueryFInstances rpc > query_id=6e44c3c949a31be2:f973c7ff00000000 failed: Failed to get minimum > memory reservation of 8.00 KB on daemon xxx.com:22001 for query > 6e44c3c949a31be2:f973c7ff00000000 due to following error: Memory limit > exceeded: Could not allocate memory while trying to increase reservation. > E Query(6e44c3c949a31be2:f973c7ff00000000) could not allocate 8.00 KB > without exceeding limit. > E Error occurred on backend xxx.com:22001 > E Memory left in process limit: 1.19 GB > E Query(6e44c3c949a31be2:f973c7ff00000000): 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. > {quote} > On the server side log: > {quote} > I0207 18:25:19.329311 5562 impala-server.cc:1063] > 6e44c3c949a31be2:f973c7ff00000000] Registered query > query_id=6e44c3c949a31be2:f973c7ff00000000 > session_id=93497065f69e9d01:8a3bd06faff3da5 > I0207 18:25:19.329434 5562 Frontend.java:1242] > 6e44c3c949a31be2:f973c7ff00000000] Analyzing query: select score from > decimal_stored_as_int32 > I0207 18:25:19.329583 5562 FeSupport.java:285] > 6e44c3c949a31be2:f973c7ff00000000] Requesting prioritized load of table(s): > test_decimal_encodings_28d99c0e.decimal_stored_as_int32 > I0207 18:25:30.776041 5562 Frontend.java:1282] > 6e44c3c949a31be2:f973c7ff00000000] Analysis finished. > I0207 18:25:35.919486 10418 admission-controller.cc:608] > 6e44c3c949a31be2:f973c7ff00000000] Schedule for > id=6e44c3c949a31be2:f973c7ff00000000 in pool_name=default-pool > per_host_mem_estimate=16.02 MB PoolConfig: max_requests=-1 max_queued=200 > max_mem=-1.00 B > I0207 18:25:35.919528 10418 admission-controller.cc:613] > 6e44c3c949a31be2:f973c7ff00000000] Stats: agg_num_running=2, > agg_num_queued=0, agg_mem_reserved=24.13 MB, > local_host(local_mem_admitted=1.99 GB, num_admitted_running=2, num_queued=0, > backend_mem_reserved=8.06 MB) > I0207 18:25:35.919549 10418 admission-controller.cc:645] > 6e44c3c949a31be2:f973c7ff00000000] Admitted query > id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:35.920532 10418 coordinator.cc:93] > 6e44c3c949a31be2:f973c7ff00000000] Exec() > query_id=6e44c3c949a31be2:f973c7ff00000000 stmt=select score from > decimal_stored_as_int32 > I0207 18:25:35.930855 10418 coordinator.cc:359] > 6e44c3c949a31be2:f973c7ff00000000] starting execution on 2 backends for > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:35.938108 21110 impala-internal-service.cc:50] > 6e44c3c949a31be2:f973c7ff00000000] ExecQueryFInstances(): > query_id=6e44c3c949a31be2:f973c7ff00000000 coord=xxx.com:22000 #instances=1 > I0207 18:25:36.037228 10571 query-state.cc:624] > 6e44c3c949a31be2:f973c7ff00000000] Executing instance. > instance_id=6e44c3c949a31be2:f973c7ff00000000 fragment_idx=0 > per_fragment_instance_idx=0 coord_state_idx=0 #in-flight=5 > I0207 18:25:48.149771 12581 coordinator-backend-state.cc:209] > ExecQueryFInstances rpc query_id=6e44c3c949a31be2:f973c7ff00000000 failed: > Failed to get minimum memory reservation of 8.00 KB on daemon xxx.com:22001 > for query 6e44c3c949a31be2:f973c7ff00000000 due to following error: Memory > limit exceeded: Could not allocate memory while trying to increase > reservation. > Query(6e44c3c949a31be2:f973c7ff00000000) could not allocate 8.00 KB without > exceeding limit. > Query(6e44c3c949a31be2:f973c7ff00000000): Reservation=0 ReservationLimit=9.60 > GB OtherMemory=0 Total=0 Peak=0 > I0207 18:25:48.149895 10418 coordinator.cc:373] > 6e44c3c949a31be2:f973c7ff00000000] started execution on 2 backends for > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.152803 10418 coordinator.cc:527] > 6e44c3c949a31be2:f973c7ff00000000] ExecState: query > id=6e44c3c949a31be2:f973c7ff00000000 finstance=N/A on host=xxx.com (EXECUTING > -> ERROR) status=ExecQueryFInstances rpc > query_id=6e44c3c949a31be2:f973c7ff00000000 failed: Failed to get minimum > memory reservation of 8.00 KB on daemon xxx.com:22001 for query > 6e44c3c949a31be2:f973c7ff00000000 due to following error: Memory limit > exceeded: Could not allocate memory while trying to increase reservation. > Query(6e44c3c949a31be2:f973c7ff00000000) could not allocate 8.00 KB without > exceeding limit. > Query(6e44c3c949a31be2:f973c7ff00000000): Reservation=0 ReservationLimit=9.60 > GB OtherMemory=0 Total=0 Peak=0 > I0207 18:25:48.152827 10418 coordinator-backend-state.cc:453] > 6e44c3c949a31be2:f973c7ff00000000] Sending CancelQueryFInstances rpc for > query_id=6e44c3c949a31be2:f973c7ff00000000 backend=127.0.0.1:27000 > I0207 18:25:48.155086 12737 control-service.cc:168] CancelQueryFInstances(): > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.155109 12737 query-exec-mgr.cc:97] QueryState: > query_id=6e44c3c949a31be2:f973c7ff00000000 refcnt=4 > I0207 18:25:48.155117 12737 query-state.cc:649] Cancel: > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.155129 12737 krpc-data-stream-mgr.cc:325] cancelling all > streams for fragment_instance_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.155297 10418 coordinator.cc:687] > 6e44c3c949a31be2:f973c7ff00000000] CancelBackends() > query_id=6e44c3c949a31be2:f973c7ff00000000, tried to cancel 1 backends > I0207 18:25:48.155306 10418 coordinator.cc:859] > 6e44c3c949a31be2:f973c7ff00000000] Release admission control resources for > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.170018 10571 krpc-data-stream-mgr.cc:294] > 6e44c3c949a31be2:f973c7ff00000000] DeregisterRecvr(): > fragment_instance_id=6e44c3c949a31be2:f973c7ff00000000, node=1 > I0207 18:25:48.197767 5562 impala-beeswax-server.cc:239] close(): > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.197775 5562 impala-server.cc:1142] UnregisterQuery(): > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.197779 5562 impala-server.cc:1249] Cancel(): > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.225905 10529 query-state.cc:272] > 6e44c3c949a31be2:f973c7ff00000000] UpdateBackendExecState(): last report for > 6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.225889 10571 query-state.cc:632] > 6e44c3c949a31be2:f973c7ff00000000] Instance completed. > instance_id=6e44c3c949a31be2:f973c7ff00000000 #in-flight=4 status=CANCELLED: > Cancelled > I0207 18:25:48.372977 12737 control-service.cc:125] ReportExecStatus(): > Received report for unknown query ID (probably closed or cancelled): > 6e44c3c949a31be2:f973c7ff00000000 remote host=127.0.0.1:50422 > I0207 18:25:48.373118 10529 query-state.cc:431] > 6e44c3c949a31be2:f973c7ff00000000] Cancelling fragment instances as directed > by the coordinator. Returned status: ReportExecStatus(): Received report for > unknown query ID (probably closed or cancelled): > 6e44c3c949a31be2:f973c7ff00000000 remote host=127.0.0.1:50422 > I0207 18:25:48.373138 10529 query-state.cc:649] > 6e44c3c949a31be2:f973c7ff00000000] Cancel: > query_id=6e44c3c949a31be2:f973c7ff00000000 > I0207 18:25:48.429422 5562 query-exec-mgr.cc:184] ReleaseQueryState(): > deleted query_id=6e44c3c949a31be2:f973c7ff00000000 > {quote} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-all-unsubscr...@impala.apache.org For additional commands, e-mail: issues-all-h...@impala.apache.org