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[SPARK-26873][SQL] Use a consistent timestamp to build Hadoop Job IDs. #23832

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[SPARK-26873][SQL] Use a consistent timestamp to build Hadoop Job IDs. #23832

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5 changes: 4 additions & 1 deletion sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -190,12 +190,14 @@ object FileFormatWriter extends Logging {
global = false,
child = plan).execute()
}
val jobIdInstant = new Date().getTime
val ret = new Array[WriteTaskResult](rdd.partitions.length)
sparkSession.sparkContext.runJob(
rdd,
(taskContext: TaskContext, iter: Iterator[InternalRow]) => {
executeTask(
description = description,
jobIdInstant = jobIdInstant,
sparkStageId = taskContext.stageId(),
sparkPartitionId = taskContext.partitionId(),
sparkAttemptNumber = taskContext.taskAttemptId().toInt & Integer.MAX_VALUE,
Expand Down Expand Up @@ -228,13 +230,14 @@ 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)

Expand Down