Github user koeninger commented on a diff in the pull request:
https://github.com/apache/spark/pull/18143#discussion_r119636950
--- Diff:
external/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/CachedKafkaConsumer.scala
---
@@ -109,34 +113,42 @@ object CachedKafkaConsumer extends Logging {
private case class CacheKey(groupId: String, topic: String, partition:
Int)
- // Don't want to depend on guava, don't want a cleanup thread, use a
simple LinkedHashMap
- private var cache: ju.LinkedHashMap[CacheKey, CachedKafkaConsumer[_, _]]
= null
+ private var cache: Cache[CacheKey, CachedKafkaConsumer[_, _]] = null
/** Must be called before get, once per JVM, to configure the cache.
Further calls are ignored */
def init(
initialCapacity: Int,
maxCapacity: Int,
loadFactor: Float): Unit = CachedKafkaConsumer.synchronized {
--- End diff --
Load factor is being ignored at this point, yes?
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