title: (scala) Can not found registered table spark sql
body: <p>I have a test table registered created by </p>
  
  <pre><code>case class Test(a:String, b:Integer)
  test_df = Array(Test(51550,10), Test(51550,10), Test(51550,10), Test(51550,10), Test(51550,20), Test(51550,20), Test(51550,20), Test(51550,20), Test(51550,16))
  sc.parallelize(test_df).toDF().registerTempTable("test")
  </code></pre>
  
  <p>The following query succeeded.</p>
  
  <pre><code>sqlContext.sql("select * from test").show()
  </code></pre>
  
  <p>but this one fails </p>
  
  <pre><code>%sql
  
  select * from test
  </code></pre>
  
  <p>with error:</p>
  
  <pre><code>org.apache.spark.sql.AnalysisException: Table not found: test; line 1 pos 14
  at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.getTable(Analyzer.scala:306)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:315)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:310)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:54)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265)
  at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
  at scala.collection.Iterator$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$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:54)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:310)
  at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:300)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80)
  at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)
  at scala.collection.immutable.List.foldLeft(List.scala:84)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72)
  at scala.collection.immutable.List.foreach(List.scala:318)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72)
  at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:36)
  at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:36)
  at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
  at org.apache.spark.sql.DataFrame.&lt;init&gt;(DataFrame.scala:133)
  at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
  at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
  at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
  at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  at java.lang.reflect.Method.invoke(Method.java:606)
  at org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:141)
  at org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57)
  at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
  at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:276)
  at org.apache.zeppelin.scheduler.Job.run(Job.java:170)
  at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:118)
  at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
  at java.util.concurrent.FutureTask.run(FutureTask.java:262)
  at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
  at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
  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)
  </code></pre>