[ https://issues.apache.org/jira/browse/KYLIN-3547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shaofeng SHI resolved KYLIN-3547. --------------------------------- Resolution: Fixed > DimensionRangeInfo: Unsupported data type boolean > ------------------------------------------------- > > Key: KYLIN-3547 > URL: https://issues.apache.org/jira/browse/KYLIN-3547 > Project: Kylin > Issue Type: Bug > Components: Job Engine, Metadata > Affects Versions: v2.5.0 > Reporter: Yichen Zhou > Assignee: Yichen Zhou > Priority: Blocker > Fix For: v2.5.0 > > > In Extract Fact Table Distinct Columns Step, Kylin can not get dimension > range information from data of boolean type because DataType.getOrder() does > not support boolean. > {quote}java.lang.RuntimeException: error execute > org.apache.kylin.engine.spark.SparkFactDistinct at > org.apache.kylin.common.util.AbstractApplication.execute(AbstractApplication.java:42) > at org.apache.kylin.common.util.SparkEntry.main(SparkEntry.java:44) at > sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) at > org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:636) > Caused by: org.apache.spark.SparkException: Job aborted due to stage > failure: Task 5 in stage 1.0 failed 4 times, most recent failure: Lost task > 5.3 in stage 1.0 (TID 17, slave1.kcluster, executor 5): > java.lang.IllegalArgumentException: Unsupported data type boolean at > org.apache.kylin.metadata.datatype.DataTypeOrder.getInstance(DataTypeOrder.java:53) > at org.apache.kylin.metadata.datatype.DataType.getOrder(DataType.java:230) > at org.apache.kylin.metadata.datatype.DataType.compare(DataType.java:236) at > org.apache.kylin.engine.spark.SparkFactDistinct$MultiOutputFunction.call(SparkFactDistinct.java:739) > at > org.apache.kylin.engine.spark.SparkFactDistinct$MultiOutputFunction.call(SparkFactDistinct.java:612) > at > org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186) > at > org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at > org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at > org.apache.spark.scheduler.Task.run(Task.scala:99) at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325) 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) > {quote} -- This message was sent by Atlassian JIRA (v7.6.3#76005)