[SPARK-2889] Create Hadoop config objects consistently.

Different places in the code were instantiating Configuration / YarnConfiguration objects in different ways. This could lead to confusion for people who actually expected "spark.hadoop.*" options to end up in the configs used by Spark code, since that would only happen for the SparkContext's config.

This change modifies most places to use SparkHadoopUtil to initialize configs, and make that method do the translation that previously was only done inside SparkContext.

The places that were not changed fall in one of the following categories:
- Test code where this doesn't really matter
- Places deep in the code where plumbing SparkConf would be too difficult for very little gain
- Default values for arguments - since the caller can provide their own config in that case

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #1843 from vanzin/SPARK-2889 and squashes the following commits:

52daf35 [Marcelo Vanzin] Merge branch 'master' into SPARK-2889
f179013 [Marcelo Vanzin] Merge branch 'master' into SPARK-2889
51e71cf [Marcelo Vanzin] Add test to ensure that overriding Yarn configs works.
53f9506 [Marcelo Vanzin] Add DeveloperApi annotation.
3d345cb [Marcelo Vanzin] Restore old method for backwards compat.
fc45067 [Marcelo Vanzin] Merge branch 'master' into SPARK-2889
0ac3fdf [Marcelo Vanzin] Merge branch 'master' into SPARK-2889
3f26760 [Marcelo Vanzin] Compilation fix.
f16cadd [Marcelo Vanzin] Initialize config in SparkHadoopUtil.
b8ab173 [Marcelo Vanzin] Update Utils API to take a Configuration argument.
1e7003f [Marcelo Vanzin] Replace explicit Configuration instantiation with SparkHadoopUtil.

2 files changed, 4 insertions, 4 deletions

diff --git a/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala b/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala
index d583cf421e..3258510894 100644
--- a/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkHdfsLR.scala
@@ -22,9 +22,9 @@ import java.util.Random
 import scala.math.exp
 
 import breeze.linalg.{Vector, DenseVector}
+import org.apache.hadoop.conf.Configuration
 
 import org.apache.spark._
-import org.apache.spark.deploy.SparkHadoopUtil
 import org.apache.spark.scheduler.InputFormatInfo
 
 
@@ -70,7 +70,7 @@ object SparkHdfsLR {
 
     val sparkConf = new SparkConf().setAppName("SparkHdfsLR")
     val inputPath = args(0)
-    val conf = SparkHadoopUtil.get.newConfiguration()
+    val conf = new Configuration()
     val sc = new SparkContext(sparkConf,
       InputFormatInfo.computePreferredLocations(
         Seq(new InputFormatInfo(conf, classOf[org.apache.hadoop.mapred.TextInputFormat], inputPath))
diff --git a/examples/src/main/scala/org/apache/spark/examples/SparkTachyonHdfsLR.scala b/examples/src/main/scala/org/apache/spark/examples/SparkTachyonHdfsLR.scala
index 2212762186..96d13612e4 100644
--- a/examples/src/main/scala/org/apache/spark/examples/SparkTachyonHdfsLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/SparkTachyonHdfsLR.scala
@@ -22,9 +22,9 @@ import java.util.Random
 import scala.math.exp
 
 import breeze.linalg.{Vector, DenseVector}
+import org.apache.hadoop.conf.Configuration
 
 import org.apache.spark._
-import org.apache.spark.deploy.SparkHadoopUtil
 import org.apache.spark.scheduler.InputFormatInfo
 import org.apache.spark.storage.StorageLevel
 
@@ -52,8 +52,8 @@ object SparkTachyonHdfsLR {
 
   def main(args: Array[String]) {
     val inputPath = args(0)
-    val conf = SparkHadoopUtil.get.newConfiguration()
     val sparkConf = new SparkConf().setAppName("SparkTachyonHdfsLR")
+    val conf = new Configuration()
     val sc = new SparkContext(sparkConf,
       InputFormatInfo.computePreferredLocations(
         Seq(new InputFormatInfo(conf, classOf[org.apache.hadoop.mapred.TextInputFormat], inputPath))