Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/10089#discussion_r53261176
--- Diff:
external/kafka/src/test/scala/org/apache/spark/streaming/kafka/DirectKafkaStreamSuite.scala
---
@@ -430,6 +471,32 @@ class DirectKafkaStreamSuite
rdd.asInstanceOf[KafkaRDD[K, V, _, _, (K, V)]].offsetRanges
}.toSeq.sortBy { _._1 }
}
+
+ private def getDirectKafkaStream(
+ topic: String,
+ getRateController: DirectKafkaInputDStream[String, String,
StringDecoder,
+ StringDecoder, (String,
String)]
+ => Option[RateController]) = {
+ val batchIntervalMilliseconds = 100
+
+ val sparkConf = new SparkConf()
+ // Safe, even with streaming, because we're using the direct API.
+ // Using 1 core is useful to make the test more predictable.
+ .setMaster("local[1]")
+ .setAppName(this.getClass.getSimpleName)
+ .set("spark.streaming.kafka.maxRatePerPartition", "100")
+
+ // Setup the streaming context
+ ssc = new StreamingContext(sparkConf,
Milliseconds(batchIntervalMilliseconds))
+
+ val earliestOffsets = Map(TopicAndPartition(topic, 0) -> 0L,
TopicAndPartition(topic, 1) -> 0L)
+ val messageHandler = (mmd: MessageAndMetadata[String, String]) =>
(mmd.key, mmd.message)
+ new DirectKafkaInputDStream[String, String, StringDecoder,
+ StringDecoder, (String, String)](
--- End diff --
nit: can be fit into one 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]
