[SPARK-26873][SQL] Use a consistent timestamp to build Hadoop Job IDs.

## What changes were proposed in this pull request?

Updates FileFormatWriter to create a consistent Hadoop Job ID for a write.

## How was this patch tested?

Existing tests for regressions.

Closes apache#23777 from rdblue/SPARK-26873-fix-file-format-writer-job-ids.

Authored-by: Ryan Blue <blue@apache.org>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>

Author: rdblue

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala

@@ -162,12 +162,14 @@ object FileFormatWriter extends Logging {
         rdd
       }
 
+      val jobIdInstant = new Date().getTime
       val ret = new Array[WriteTaskResult](rddWithNonEmptyPartitions.partitions.length)
       sparkSession.sparkContext.runJob(
         rddWithNonEmptyPartitions,
         (taskContext: TaskContext, iter: Iterator[InternalRow]) => {
           executeTask(
             description = description,
+            jobIdInstant = jobIdInstant,
             sparkStageId = taskContext.stageId(),
             sparkPartitionId = taskContext.partitionId(),
             sparkAttemptNumber = taskContext.taskAttemptId().toInt & Integer.MAX_VALUE,
@@ -200,13 +202,14 @@ object FileFormatWriter extends Logging {
   /** Writes data out in a single Spark task. */
   private def executeTask(
       description: WriteJobDescription,
+      jobIdInstant: Long,
       sparkStageId: Int,
       sparkPartitionId: Int,
       sparkAttemptNumber: Int,
       committer: FileCommitProtocol,
       iterator: Iterator[InternalRow]): WriteTaskResult = {
 
-    val jobId = SparkHadoopWriterUtils.createJobID(new Date, sparkStageId)
+    val jobId = SparkHadoopWriterUtils.createJobID(new Date(jobIdInstant), sparkStageId)
     val taskId = new TaskID(jobId, TaskType.MAP, sparkPartitionId)
     val taskAttemptId = new TaskAttemptID(taskId, sparkAttemptNumber)