Spark SQL on kudu can not contains nullable columns?
I've create one table in kudu(0.6.0) which has nullable columns,
when I try to use spark sql (using kudu java client 0.7.0) like this:
sqlContext.load("org.kududb.spark",Map("kudu.table" -> "contents",
"kudu.master" -> "master1:7051")).registerTempTable("contents")
sqlContext.sql("SELECT * FROM * FROM contents limit 10").collectAsList()
I got this error:
16/03/02 00:45:42 INFO DAGScheduler: Job 4 failed: collect at <console>:20,
took 11.813423 s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in stage
7.0 (TID 62, slave29): java.lang.IllegalArgumentException: The requested
column (4) is null
at org.kududb.client.RowResult.checkNull(RowResult.java:475)
at org.kududb.client.RowResult.getString(RowResult.java:321)
at org.kududb.client.RowResult.getString(RowResult.java:308)
at org.kududb.spark.KuduRelation.org
$kududb$spark$KuduRelation$$getKuduValue(DefaultSource.scala:144)
at
org.kududb.spark.KuduRelation$$anonfun$buildScan$1$$anonfun$apply$1.apply(DefaultSource.scala:126)
at
org.kududb.spark.KuduRelation$$anonfun$buildScan$1$$anonfun$apply$1.apply(DefaultSource.scala:126)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at
scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at
org.kududb.spark.KuduRelation$$anonfun$buildScan$1.apply(DefaultSource.scala:126)
at
org.kududb.spark.KuduRelation$$anonfun$buildScan$1.apply(DefaultSource.scala:124)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to
(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Is this due to the version incompatibily between my kudu server(0.6.0) and
java client (0.7.0)?
