Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/5882#discussion_r29813401
--- Diff:
extras/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisReceiver.scala
---
@@ -120,16 +105,27 @@ private[kinesis] class KinesisReceiver(
*/
override def onStart() {
workerId = Utils.localHostName() + ":" + UUID.randomUUID()
- credentialsProvider = new DefaultAWSCredentialsProviderChain()
- kinesisClientLibConfiguration = new
KinesisClientLibConfiguration(appName, streamName,
- credentialsProvider, workerId).withKinesisEndpoint(endpointUrl)
+
+ // KCL config instance
+ val kinesisClientLibConfiguration = new
KinesisClientLibConfiguration(appName, streamName,
+ resolveAWSCredentialsProvider(),
workerId).withKinesisEndpoint(endpointUrl)
.withInitialPositionInStream(initialPositionInStream).withTaskBackoffTimeMillis(500)
- recordProcessorFactory = new IRecordProcessorFactory {
+ .withRegionName(regionName)
+
+ /*
+ * RecordProcessorFactory creates impls of IRecordProcessor.
+ * IRecordProcessor adapts the KCL to our Spark KinesisReceiver via
the
+ * IRecordProcessor.processRecords() method.
+ * We're using our custom KinesisRecordProcessor in this case.
+ */
+ val recordProcessorFactory = new IRecordProcessorFactory {
override def createProcessor: IRecordProcessor = new
KinesisRecordProcessor(receiver,
workerId, new KinesisCheckpointState(checkpointInterval))
}
+
worker = new Worker(recordProcessorFactory,
kinesisClientLibConfiguration)
worker.run()
+
--- End diff --
extra line.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
