Yeah didn't think about, are you volunteering Todd? :P I can do it today. J-D
On Tue, Mar 1, 2016 at 9:57 AM, Todd Lipcon <t...@cloudera.com> wrote: > Perhaps we should target this for 0.7.1 as well, if we're going to do that > follow-up release? Seems like it should be an easy fix (and client-side > only) > > -Todd > > On Tue, Mar 1, 2016 at 9:29 AM, Jean-Daniel Cryans <jdcry...@apache.org> > wrote: > >> Ha yeah that's a good one. I opened this jira: >> https://issues.apache.org/jira/browse/KUDU-1360 >> >> Basically we forgot to check for nulls :) >> >> J-D >> >> On Tue, Mar 1, 2016 at 9:18 AM, Darren Hoo <darren....@gmail.com> wrote: >> >>> 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)? >>> >>> >> > > > -- > Todd Lipcon > Software Engineer, Cloudera >
