Yichen Zhou created KYLIN-3547:
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Summary: 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
Reporter: Yichen Zhou
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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