獲取kafka最新offset-scala
阿新 • • 發佈:2018-01-01
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無論是在spark streaming消費kafka,或是監控kafka的數據時,我們經常會需要知道offset最新情況
kafka數據的topic基於分區,並且通過每個partition的主分區可以獲取offset的最新情況
GetOffsetShellWrap
//這是對kafka自帶工具包的擴展
object GetOffsetShellWrap { //在主函數添加一個參數map def main(args: Array[String],map: ArrayBuffer[String]): Unit = {
//對參數的解析 val parser = new OptionParser val brokerListOpt= parser.accepts("broker-list", "REQUIRED: The list of hostname and port of the server to connect to.") .withRequiredArg .describedAs("hostname:port,...,hostname:port") .ofType(classOf[String]) val topicOpt = parser.accepts("topic", "REQUIRED: The topic to get offset from.") .withRequiredArg .describedAs("topic") .ofType(classOf[String]) val partitionOpt = parser.accepts("partitions", "comma separated list of partition ids. If not specified, it will find offsets for all partitions") .withRequiredArg .describedAs("partition ids") .ofType(classOf[String]) .defaultsTo("") val timeOpt = parser.accepts("time", "timestamp of the offsets before that") .withRequiredArg .describedAs("timestamp/-1(latest)/-2(earliest)") .ofType(classOf[java.lang.Long]) val nOffsetsOpt = parser.accepts("offsets", "number of offsets returned") .withRequiredArg .describedAs("count") .ofType(classOf[java.lang.Integer]) .defaultsTo(1) val maxWaitMsOpt = parser.accepts("max-wait-ms", "The max amount of time each fetch request waits.") .withRequiredArg .describedAs("ms") .ofType(classOf[java.lang.Integer]) .defaultsTo(1000) if(args.length == 0) CommandLineUtils.printUsageAndDie(parser, "An interactive shell for getting consumer offsets.") val options = parser.parse(args : _*) CommandLineUtils.checkRequiredArgs(parser, options, brokerListOpt, topicOpt, timeOpt)
//獲取參數的值 val clientId = "GetOffsetShell" val brokerList = options.valueOf(brokerListOpt) ToolsUtils.validatePortOrDie(parser, brokerList) val metadataTargetBrokers = ClientUtils.parseBrokerList(brokerList) val topic = options.valueOf(topicOpt) var partitionList = options.valueOf(partitionOpt) var time = options.valueOf(timeOpt).longValue val nOffsets = options.valueOf(nOffsetsOpt).intValue val maxWaitMs = options.valueOf(maxWaitMsOpt).intValue() val topicsMetadata = ClientUtils.fetchTopicMetadata(Set(topic), metadataTargetBrokers, clientId, maxWaitMs).topicsMetadata if(topicsMetadata.size != 1 || !topicsMetadata(0).topic.equals(topic)) { System.err.println(("Error: no valid topic metadata for topic: %s, " + " probably the topic does not exist, run ").format(topic) + "kafka-list-topic.sh to verify") System.exit(1) } val partitions = if(partitionList == "") { topicsMetadata.head.partitionsMetadata.map(_.partitionId) } else { partitionList.split(",").map(_.toInt).toSeq }
//遍歷每個主分區 partitions.foreach { partitionId => val partitionMetadataOpt = topicsMetadata.head.partitionsMetadata.find(_.partitionId == partitionId) partitionMetadataOpt match { case Some(metadata) => metadata.leader match { case Some(leader) => val consumer = new SimpleConsumer(leader.host, leader.port, 10000, 100000, clientId) val topicAndPartition = TopicAndPartition(topic, partitionId) val request = OffsetRequest(Map(topicAndPartition -> PartitionOffsetRequestInfo(time, nOffsets))) val offsets = consumer.getOffsetsBefore(request).partitionErrorAndOffsets(topicAndPartition).offsets //把獲取到的offset進行存儲 map += "%s:%d:%s".format(topic, partitionId, offsets.mkString(",")) case None => System.err.println("Error: partition %d does not have a leader. Skip getting offsets".format(partitionId)) } case None => System.err.println("Error: partition %d does not exist".format(partitionId)) } } } }
GetOffsetShellWrapScalaTest
object GetOffsetShellWrapScalaTest { def main(args: Array[String]) { var arr = ArrayBuffer[String](); arr+="--broker-list=hadoop-01:9092" arr+="-topic=2017-11-6-test" arr+="--time=-1" val resule = getOffset(arr.toArray) for(i<-resule){ println("我自己獲取到的偏移量=> "+i) } } def getOffset(args: Array[String]) : Array[String]={ val map = new ArrayBuffer[String]() GetOffsetShellWrap.main(args.toArray,map) map.toArray } }
結果輸出:
2017-11-6-test:2:16099 2017-11-6-test:1:15930 2017-11-6-test:0:16096
獲取kafka最新offset-scala