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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (KYLIN-3547) DimensionRangeInfo: Unsupported data type boolean
Date Tue, 11 Sep 2018 05:51:00 GMT


ASF GitHub Bot commented on KYLIN-3547:

ZhouYC627 opened a new pull request #226: KYLIN-3547 add boolean DataTypeOrder

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> DimensionRangeInfo: Unsupported data type boolean
> -------------------------------------------------
>                 Key: KYLIN-3547
>                 URL:
>             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( at
org.apache.kylin.common.util.SparkEntry.main( at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
Method) at sun.reflect.NativeMethodAccessorImpl.invoke( at
sun.reflect.DelegatingMethodAccessorImpl.invoke( at java.lang.reflect.Method.invoke(
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in stage
1.0 failed 4 times, most recent failure: Lost task 5.3 in stage 1.0 (TID 17, slave1.kcluster,
executor 5): java.lang.IllegalArgumentException: Unsupported data type boolean at org.apache.kylin.metadata.datatype.DataTypeOrder.getInstance(
at org.apache.kylin.metadata.datatype.DataType.getOrder( at
at org.apache.kylin.engine.spark.SparkFactDistinct$
at org.apache.kylin.engine.spark.SparkFactDistinct$
at$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186) at$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:797)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at at org.apache.spark.executor.Executor$
at java.util.concurrent.ThreadPoolExecutor.runWorker( at java.util.concurrent.ThreadPoolExecutor$
> {quote}

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