[KYLIN-3547] DimensionRangeInfo: Unsupported data type boolean

• Type: Bug
• Status: Closed
• Priority: Blocker
• Resolution: Fixed
• Affects Version/s: v2.5.0
• Fix Version/s: v2.5.0
• Component/s: Job Engine, Metadata
• Assignee: Yichen Zhou
• Reporter: Yichen Zhou
• Created: 10/Sep/18 07:41
• Updated: 17/Sep/18 10:57
• Resolved: 12/Sep/18 06:39

Description

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.

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)

Issue Links

• links to: GitHub Pull Request #226