I am trying to create several tables with hundreds of millions of columns. Tables are created and data is added while changing the orc.stripe.size value (64MB or 256MB) for each table because the size of each table is different. (If there is a lot of table data, an error occurred when setting 64MB, so the value was increased to 256MB.) However, if the orc.stripe.size value is set large (ex. 256MB) for a table with a relatively small number of data, the following error occurs. I don't know how to set this value and create it. Is there a way to set the value according to the table size? SessionState: Vertex failed, vertexName=Map 1, vertexId=vertex_1666932355626_0180_236_01, diagnostics=[Task failed, taskId=task_1666932355626_0180_236_01_000000, diagnostics=[TaskAttempt 0 failed, info=[Error: Error while running task ( failure ) : attempt_1666932355626_0180_236_01_000000_0:java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.IOException: java.io.EOFException: Can't finish byte read from uncompressed stream DATA position: 81920 length: 81920 range: 4 offset: 65536 position: 16384 limit: 16384 at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:348) at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:276) at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:381) at org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:82) at org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:69) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730) at org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:69) at org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:39) at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36) at org.apache.hadoop.hive.llap.daemon.impl.StatsRecordingThreadPool$WrappedCallable.call(StatsRecordingThreadPool.java:118) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)
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