title: Exception in thread "main" java.lang.IllegalArgumentException: requirement failed
body: <p>Here i'm trying to add  time stamp to the data frame dynamically to this incoming data,</p>
  
  <blockquote>
    <p>{"action":"event","id":1173,"lat":0.0,"lon":0.0,"rollid":55,"event":"type","ccd":0,"fone":"ione","version":"10.1","item":"shack"}</p>
  </blockquote>
  
  <p>to the above incoming data, im trying to append the timestamp with the below code </p>
  
  <pre><code>foreachRDD(rdd=&gt;
           74 {
           75 val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
           76 import sqlContext.implicits._
           77 val dataframe =sqlContext.read.json(rdd.map(_._2)).toDF()
           78 import org.apache.spark.sql.functions._
           79  val newDF=dataframe.withColumn("Timestamp_val",current_timestamp())
           80 newDF.show()
           81 newDF.printSchema()
  </code></pre>
  
  <p>which should yield me out put like below</p>
  
  <p><a href="https://i.stack.imgur.com/Vpo71.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Vpo71.png" alt="enter image description here"></a></p>
  
  <p><strong>But this code is giving me an headache, sometimes it is printing the schema and sometimes it is throwing this exception at "<em>line number 79</em>"</strong></p>
  
  <blockquote>
    <p>java.lang.IllegalArgumentException: requirement failed
            at scala.Predef$.require(Predef.scala:221)
            at org.apache.spark.sql.catalyst.analysis.UnresolvedStar.expand(unresolved.scala:199)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$14.apply(Analyzer.scala:354)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$14.apply(Analyzer.scala:353)
            at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
            at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
            at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
            at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
            at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
            at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:353)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:347)
            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:69)
            at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:347)
            at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:328)
            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.(DataFrame.scala:133)
            at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:2126)
            at org.apache.spark.sql.DataFrame.select(DataFrame.scala:707)
            at org.apache.spark.sql.DataFrame.withColumn(DataFrame.scala:1188)
            at HiveGenerator$$anonfun$main$1.apply(HiveGenerator.scala:79)
            at HiveGenerator$$anonfun$main$1.apply(HiveGenerator.scala:73)</p>
  </blockquote>
  
  <p>Where am i going wrong, please help.</p>