[SPARK-18672][CORE] Close recordwriter in SparkHadoopMapReduceWriter before committing

## What changes were proposed in this pull request?

It seems some APIs such as `PairRDDFunctions.saveAsHadoopDataset()` do not close the record writer before issuing the commit for the task.

On Windows, the output in the temp directory is being open and output committer tries to rename it from temp directory to the output directory after finishing writing.

So, it fails to move the file. It seems we should close the writer actually before committing the task like the other writers such as `FileFormatWriter`.

Identified failure was as below:

```
FAILURE! - in org.apache.spark.JavaAPISuite
writeWithNewAPIHadoopFile(org.apache.spark.JavaAPISuite)  Time elapsed: 0.25 sec  <<< ERROR!
org.apache.spark.SparkException: Job aborted.
	at org.apache.spark.JavaAPISuite.writeWithNewAPIHadoopFile(JavaAPISuite.java:1231)
Caused by: org.apache.spark.SparkException:
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): org.apache.spark.SparkException: Task failed while writing rows
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.org$apache$spark$internal$io$SparkHadoopMapReduceWriter$$executeTask(SparkHadoopMapReduceWriter.scala:182)
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$$anonfun$3.apply(SparkHadoopMapReduceWriter.scala:100)
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$$anonfun$3.apply(SparkHadoopMapReduceWriter.scala:99)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:108)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Could not rename file:/C:/projects/spark/core/target/tmp/1480553515529-0/output/_temporary/0/_temporary/attempt_20161201005155_0000_r_000000_0 to file:/C:/projects/spark/core/target/tmp/1480553515529-0/output/_temporary/0/task_20161201005155_0000_r_000000
	at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitTask(FileOutputCommitter.java:436)
	at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitTask(FileOutputCommitter.java:415)
	at org.apache.spark.mapred.SparkHadoopMapRedUtil$.performCommit$1(SparkHadoopMapRedUtil.scala:50)
	at org.apache.spark.mapred.SparkHadoopMapRedUtil$.commitTask(SparkHadoopMapRedUtil.scala:76)
	at org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitTask(HadoopMapReduceCommitProtocol.scala:153)
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$$anonfun$4.apply(SparkHadoopMapReduceWriter.scala:167)
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$$anonfun$4.apply(SparkHadoopMapReduceWriter.scala:156)
	at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1341)
	at org.apache.spark.internal.io.SparkHadoopMapReduceWriter$.org$apache$spark$internal$io$SparkHadoopMapReduceWriter$$executeTask(SparkHadoopMapReduceWriter.scala:168)
	... 8 more
Driver stacktrace:
	at org.apache.spark.JavaAPISuite.writeWithNewAPIHadoopFile(JavaAPISuite.java:1231)
Caused by: org.apache.spark.SparkException: Task failed while writing rows
Caused by: java.io.IOException: Could not rename file:/C:/projects/spark/core/target/tmp/1480553515529-0/output/_temporary/0/_temporary/attempt_20161201005155_0000_r_000000_0 to file:/C:/projects/spark/core/target/tmp/1480553515529-0/output/_temporary/0/task_20161201005155_0000_r_000000
```

This PR proposes to close this before committing the task.

## How was this patch tested?

Manually tested via AppVeyor.

**Before**

https://ci.appveyor.com/project/spark-test/spark/build/94-scala-tests

**After**

https://ci.appveyor.com/project/spark-test/spark/build/93-scala-tests

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #16098 from HyukjinKwon/close-wirter-first.

core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala

@@ -146,7 +146,7 @@ object SparkHadoopMapReduceWriter extends Logging {
       case c: Configurable => c.setConf(hadoopConf)
       case _ => ()
     }
-    val writer = taskFormat.getRecordWriter(taskContext)
+    var writer = taskFormat.getRecordWriter(taskContext)
       .asInstanceOf[RecordWriter[K, V]]
     require(writer != null, "Unable to obtain RecordWriter")
     var recordsWritten = 0L
@@ -154,6 +154,7 @@ object SparkHadoopMapReduceWriter extends Logging {
     // Write all rows in RDD partition.
     try {
       val ret = Utils.tryWithSafeFinallyAndFailureCallbacks {
+        // Write rows out, release resource and commit the task.
         while (iterator.hasNext) {
           val pair = iterator.next()
           writer.write(pair._1, pair._2)
@@ -163,12 +164,23 @@ object SparkHadoopMapReduceWriter extends Logging {
             outputMetricsAndBytesWrittenCallback, recordsWritten)
           recordsWritten += 1
         }
-
+        if (writer != null) {
+          writer.close(taskContext)
+          writer = null
+        }
         committer.commitTask(taskContext)
       }(catchBlock = {
-        committer.abortTask(taskContext)
-        logError(s"Task ${taskContext.getTaskAttemptID} aborted.")
-      }, finallyBlock = writer.close(taskContext))
+        // If there is an error, release resource and then abort the task.
+        try {
+          if (writer != null) {
+            writer.close(taskContext)
+            writer = null
+          }
+        } finally {
+          committer.abortTask(taskContext)
+          logError(s"Task ${taskContext.getTaskAttemptID} aborted.")
+        }
+      })
 
       outputMetricsAndBytesWrittenCallback.foreach {
         case (om, callback) =>