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https://issues.apache.org/jira/browse/KYLIN-3547?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16610128#comment-16610128
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ASF GitHub Bot commented on KYLIN-3547:
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ZhouYC627 opened a new pull request #226: KYLIN-3547 add boolean DataTypeOrder
URL: https://github.com/apache/kylin/pull/226
https://issues.apache.org/jira/browse/KYLIN-3547
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> 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}
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