2014-11-06 62 views
0

卡夫卡和Spark-Streaming之间存在一个问题,我在生产中有低级别的流量(大约12000-15000记录/每秒)服务,起初消费流量看起来很正常,但是在10-15分钟后,突然消耗了将近1/10的速度。这可能是网络的流量问题?卡夫卡卡夫卡消费者的缺失记录

配置:
num.network.threads = 2个
num.io.threads = 8个
socket.send.buffer.bytes = 1048576
socket.receive.buffer.bytes = 1048576
socket.request.max.bytes = 104857600个
log.flush.interval.messages = 10000个
log.flush.interval.ms = 1000
log.retention.hours = 12
log.segm ent.bytes = 536870912
log.retention.check.interval.ms = 60000
log.cleaner.enable =假
log.cleanup.interval.mins =火花流的1

配置(消费):

.... 
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) 
    } 

回答