Kafka和Spark-Streaming之间存在问题，我在生产中有低级别流量（大约12000-15000条记录/秒）服务，起初，消耗流量似乎正常，但是在10-15分钟后，突然消耗的速度差不多剩下1/10了。这可能是网络的流量问题？
Kafka的配置：
num.network.threads = 2
num.io.threads = 8
socket.send.buffer.bytes = 1048576
socket.receive.buffer.bytes = 1048576
socket.request.max.bytes = 104857600
log.flush.interval.messages = 10000
log.flush.interval.ms = 1000
log.retention.hours = 12
log.segment.bytes = 536870912
log.retention.check.interval.ms = 60000
log.cleaner.enable =假
log.cleanup.interval.mins = 1
spark-streaming（消费者）的配置：
....
val kafkaParams = Map(
"zookeeper.connect" -> zkQuorum,
"group.id" -> group,
"zookeeper.connection.timeout.ms" -> "1000000",
"zookeeper.sync.time.ms" -> "200",
"fetch.message.max.bytes" -> "2097152000",
"queued.max.message.chunks" -> "1000",
"auto.commit.enable" -> "true",
"auto.commit.interval.ms" -> "1000")
try {
KafkaUtils.createStream[String, String, StringDecoder, StringDecoder](
ssc, kafkaParams, topics.map((_, partition)).toMap,
StorageLevel.MEMORY_ONLY).map {
case (key, value) => convertTo(key, value)
}.filter {
_ != null
}.foreachRDD(line => saveToHBase(line, INPUT_TABLE))
//}.foreachRDD(line => logger.info("handling testing....."+ line))
} catch {
case e: Exception => logger.error("consumerEx: " + e.printStackTrace)
}