How to create a sample dataframe in Scala / Spark
<p>I'm trying to create a simple <code>DataFrame</code> as follows:</p>

<pre><code>import sqlContext.implicits._

val lookup = Array("one", "two", "three", "four", "five")

val theRow = Array("1",Array(1,2,3), Array(0.1,0.4,0.5))

val theRdd = sc.makeRDD(theRow)

case class X(id: String, indices: Array[Integer], weights: Array[Float] )

val df = theRdd.map{
    case Array(s0,s1,s2) =&gt;    X(s0.asInstanceOf[String],s1.asInstanceOf[Array[Integer]],s2.asInstanceOf[Array[Float]])
}.toDF()

df.show()
</code></pre>

<p>df is defined as</p>

<pre><code>df: org.apache.spark.sql.DataFrame = [id: string, indices: array&lt;int&gt;, weights: array&lt;float&gt;]
</code></pre>

<p>which is what I want.</p>

<p>Upon executing, I get </p>

<blockquote>
  <p>org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 13.0 failed 1 times, most recent failure: Lost task 1.0 in stage 13.0 (TID 50, localhost): scala.MatchError: 1 (of class java.lang.String)</p>
</blockquote>

<p>Where is this MatchError coming from? And, is there a simpler way to create sample <code>DataFrames</code> programmatically?</p>