zhangrenhua commented on a change in pull request #32222:
URL: https://github.com/apache/spark/pull/32222#discussion_r615493254
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
##########
@@ -301,10 +306,44 @@ private[jdbc] class JDBCRDD(
ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY)
stmt.setFetchSize(options.fetchSize)
stmt.setQueryTimeout(options.queryTimeout)
- rs = stmt.executeQuery()
+
+ val isFinished = new AtomicBoolean(false)
+ startTheJobInterruptListenerThread(context, stmt, isFinished)
+ try{
+ rs = stmt.executeQuery()
+ } finally {
+ isFinished.set(true)
+ }
val rowsIterator = JdbcUtils.resultSetToSparkInternalRows(rs, schema,
inputMetrics)
CompletionIterator[InternalRow, Iterator[InternalRow]](
new InterruptibleIterator(context, rowsIterator), close())
}
+
+ /**
+ * Start the job interruption listener thread, if the job is interrupted and
+ * stmt.executeQuery() is not completed, initiate a stmt.cancel() request.
+ */
+ private def startTheJobInterruptListenerThread(context: TaskContext, stmt:
PreparedStatement
+ , isFinished: AtomicBoolean):
Unit = {
Review comment:
Okay, I will test and verify it at night. But I think it might not work.
In view of the complicated logic and the execution of SQL that takes several
minutes or even hours, the ResultSet object may not be returned in time.
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