Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/20572#discussion_r170279950
--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaRDDSuite.scala
---
@@ -64,6 +69,41 @@ class KafkaRDDSuite extends SparkFunSuite with
BeforeAndAfterAll {
private val preferredHosts = LocationStrategies.PreferConsistent
+ private def compactLogs(topic: String, partition: Int, messages:
Array[(String, String)]) {
+ val mockTime = new MockTime()
+ // LogCleaner in 0.10 version of Kafka is still expecting the old
TopicAndPartition api
+ val logs = new Pool[TopicAndPartition, Log]()
+ val logDir = kafkaTestUtils.brokerLogDir
+ val dir = new java.io.File(logDir, topic + "-" + partition)
+ dir.mkdirs()
+ val logProps = new ju.Properties()
+ logProps.put(LogConfig.CleanupPolicyProp, LogConfig.Compact)
+ logProps.put(LogConfig.MinCleanableDirtyRatioProp, 0.1f:
java.lang.Float)
--- End diff --
Do you have to 'cast' this to a Java Float object to get it to compile?
`java.lang.Float.valueOf(0.1f)` works too I guess, but equally weird. OK if
it's required.
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