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Matt McCline commented on HIVE-11981: ------------------------------------- transform_acid.q Hive QA hive.log: {code} java.lang.Exception: java.lang.RuntimeException: Hive Runtime Error while closing operators at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462) ~[hadoop-mapreduce-client-common-2.6.0.jar:?] at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522) [hadoop-mapreduce-client-common-2.6.0.jar:?] Caused by: java.lang.RuntimeException: Hive Runtime Error while closing operators at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:204) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:450) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243) ~[hadoop-mapreduce-client-common-2.6.0.jar:?] at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) ~[?:1.7.0_45] at java.util.concurrent.FutureTask.run(FutureTask.java:262) ~[?:1.7.0_45] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) ~[?:1.7.0_45] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) ~[?:1.7.0_45] at java.lang.Thread.run(Thread.java:744) ~[?:1.7.0_45] Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: [Error 20003]: An error occurred when trying to close the Operator running your custom script. at org.apache.hadoop.hive.ql.exec.ScriptOperator.close(ScriptOperator.java:562) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:670) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:670) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:670) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:186) ~[hive-exec-2.0.0-SNAPSHOT.jar:2.0.0-SNAPSHOT] at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:450) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343) ~[hadoop-mapreduce-client-core-2.6.0.jar:?] at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243) ~[hadoop-mapreduce-client-common-2.6.0.jar:?] at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) ~[?:1.7.0_45] at java.util.concurrent.FutureTask.run(FutureTask.java:262) ~[?:1.7.0_45] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) ~[?:1.7.0_45] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) ~[?:1.7.0_45] at java.lang.Thread.run(Thread.java:744) ~[?:1.7.0_45] {code} It doesn't fail on my laptop. > ORC Schema Evolution Issues (Vectorized, ACID, and Non-Vectorized) > ------------------------------------------------------------------ > > Key: HIVE-11981 > URL: https://issues.apache.org/jira/browse/HIVE-11981 > Project: Hive > Issue Type: Bug > Components: Hive, Transactions > Reporter: Matt McCline > Assignee: Matt McCline > Priority: Critical > Attachments: HIVE-11981.01.patch, HIVE-11981.02.patch, > HIVE-11981.03.patch, HIVE-11981.05.patch, HIVE-11981.06.patch, > HIVE-11981.07.patch, HIVE-11981.08.patch, HIVE-11981.09.patch, > HIVE-11981.091.patch, HIVE-11981.092.patch, HIVE-11981.093.patch, > HIVE-11981.094.patch, HIVE-11981.095.patch, HIVE-11981.096.patch, > HIVE-11981.097.patch, HIVE-11981.098.patch, ORC Schema Evolution Issues.docx > > > High priority issues with schema evolution for the ORC file format. > Schema evolution here is limited to adding new columns and a few cases of > column type-widening (e.g. int to bigint). > Renaming columns, deleting column, moving columns and other schema evolution > were not pursued due to lack of importance and lack of time. Also, it > appears a much more sophisticated metadata would be needed to support them. > The biggest issues for users have been adding new columns for ACID table > (HIVE-11421 Support Schema evolution for ACID tables) and vectorization > (HIVE-10598 Vectorization borks when column is added to table). -- This message was sent by Atlassian JIRA (v6.3.4#6332)