Hi all, Currently I am using Kylin2.0.0 with CDH 5.8. It works fine when I use MapReduce engine. However, when I try to use spark engine to build cube, it fails at step 7: Build Cube with Spark. Here is the log info:
17/05/16 17:50:01 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, fonova-ahz-cdh34): java.lang.IllegalArgumentException: Failed to find metadata store by url: kylin_metadata@hbase at org.apache.kylin.common.persistence.ResourceStore.createResourceStore(ResourceStore.java:99) at org.apache.kylin.common.persistence.ResourceStore.getStore(ResourceStore.java:110) at org.apache.kylin.cube.CubeDescManager.getStore(CubeDescManager.java:370) at org.apache.kylin.cube.CubeDescManager.reloadAllCubeDesc(CubeDescManager.java:298) at org.apache.kylin.cube.CubeDescManager.<init>(CubeDescManager.java:109) at org.apache.kylin.cube.CubeDescManager.getInstance(CubeDescManager.java:81) at org.apache.kylin.cube.CubeInstance.getDescriptor(CubeInstance.java:109) at org.apache.kylin.cube.CubeSegment.getCubeDesc(CubeSegment.java:119) at org.apache.kylin.cube.CubeSegment.isEnableSharding(CubeSegment.java:467) at org.apache.kylin.cube.kv.RowKeyEncoder.<init>(RowKeyEncoder.java:48) at org.apache.kylin.cube.kv.AbstractRowKeyEncoder.createInstance(AbstractRowKeyEncoder.java:48) at org.apache.kylin.engine.spark.SparkCubingByLayer$2.call(SparkCubingByLayer.java:205) at org.apache.kylin.engine.spark.SparkCubingByLayer$2.call(SparkCubingByLayer.java:193) at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1018) at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1018) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:191) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Any suggestions would help. Thanks, Zhuoran