[SPARK-4774] [SQL] Makes HiveFromSpark more portable

HiveFromSpark read the kv1.txt file from SPARK_HOME/examples/src/main/resources/kv1.txt which assumed
you had a source tree checked out. Now we copy the kv1.txt file to a temporary file and delete it when
the jvm shuts down. This allows us to run this example outside of a spark source tree.

Author: Kostas Sakellis <[email protected]>

Closes #3628 from ksakellis/kostas-spark-4774 and squashes the following commits:

6770f83 [Kostas Sakellis] [SPARK-4774] [SQL] Makes HiveFromSpark more portable

Author: Kostas Sakellis

examples/src/main/scala/org/apache/spark/examples/sql/hive/HiveFromSpark.scala

@@ -17,17 +17,26 @@
 
 package org.apache.spark.examples.sql.hive
 
+import com.google.common.io.{ByteStreams, Files}
+
+import java.io.File
+
 import org.apache.spark.{SparkConf, SparkContext}
 import org.apache.spark.sql._
 import org.apache.spark.sql.hive.HiveContext
 
 object HiveFromSpark {
   case class Record(key: Int, value: String)
 
+  // Copy kv1.txt file from classpath to temporary directory
+  val kv1Stream = HiveFromSpark.getClass.getResourceAsStream("/kv1.txt")
+  val kv1File = File.createTempFile("kv1", "txt")
+  kv1File.deleteOnExit()
+  ByteStreams.copy(kv1Stream, Files.newOutputStreamSupplier(kv1File))
+
   def main(args: Array[String]) {
     val sparkConf = new SparkConf().setAppName("HiveFromSpark")
     val sc = new SparkContext(sparkConf)
-    val path = s"${System.getenv("SPARK_HOME")}/examples/src/main/resources/kv1.txt"
 
     // A hive context adds support for finding tables in the MetaStore and writing queries
     // using HiveQL. Users who do not have an existing Hive deployment can still create a
@@ -37,7 +46,7 @@ object HiveFromSpark {
     import hiveContext._
 
     sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING)")
-    sql(s"LOAD DATA LOCAL INPATH '$path' INTO TABLE src")
+    sql(s"LOAD DATA LOCAL INPATH '${kv1File.getAbsolutePath}' INTO TABLE src")
 
     // Queries are expressed in HiveQL
     println("Result of 'SELECT *': ")