这篇文章主要介绍“kafka单机版环境的搭建方法”,在日常操作中,相信很多人在kafka单机版环境的搭建方法问题上存在疑惑,小编查阅了各式资料,整理出简单好用的操作方法,希望对大家解答”kafka单机版环境的搭建方法”的疑惑有所帮助!接下来,请跟着小编一起来学习吧!1、启动安装zookeeper[root@node1 bin]# ./zkServer.shJMX enabled by defaultUsing config: /opt/bigdata/zookeeper/bin/../conf/zoo.cfgUsage: ./zkServer.sh {start|start-foreground|stop|restart|status|upgrade|print-cmd}[root@node1 bin]# ./zkServer.sh start-foregroundJMX enabled by defaultUsing config: /opt/bigdata/zookeeper/bin/../conf/zoo.cfgkafka环境搭建:[root@node1 bin]# ./kafka-server-start.sh ../config/server.properties[2016-04-02 04:10:29,995] INFO KafkaConfig values: request.timeout.ms = 30000 log.roll.hours = 168 inter.broker.protocol.version = 0.9.0.X log.preallocate = false security.inter.broker.protocol = PLAINTEXT controller.socket.timeout.ms = 30000 broker.id.generation.enable = true ssl.keymanager.algorithm = SunX509 ssl.key.password = null log.cleaner.enable = true ssl.provider = null num.recovery.threads.per.data.dir = 1 background.threads = 10 unclean.leader.election.enable = true sasl.kerberos.kinit.cmd = /usr/bin/kinit replica.lag.time.max.ms = 10000 ssl.endpoint.identification.algorithm = null auto.create.topics.enable = true zookeeper.sync.time.ms = 2000 ssl.client.auth = none ssl.keystore.password = null log.cleaner.io.buffer.load.factor = 0.9 offsets.topic.compression.codec = 0 log.retention.hours = 168 log.dirs = /tmp/kafka-logs ssl.protocol = TLS log.index.size.max.bytes = 10485760 sasl.kerberos.min.time.before.relogin = 60000 log.retention.minutes = null connections.max.idle.ms = 600000 ssl.trustmanager.algorithm = PKIX offsets.retention.minutes = 1440 max.connections.per.ip = 2147483647 replica.fetch.wait.max.ms = 500 metrics.num.samples = 2 port = 9092 offsets.retention.check.interval.ms = 600000 log.cleaner.dedupe.buffer.size = 134217728 log.segment.bytes = 1073741824 group.min.session.timeout.ms = 6000 producer.purgatory.purge.interval.requests = 1000 min.insync.replicas = 1 ssl.truststore.password = null log.flush.scheduler.interval.ms = 9223372036854775807 socket.receive.buffer.bytes = 102400 leader.imbalance.per.broker.percentage = 10 num.io.threads = 8 zookeeper.connect = localhost:2181 queued.max.requests = 500 offsets.topic.replication.factor = 3 replica.socket.timeout.ms = 30000 offsets.topic.segment.bytes = 104857600 replica.high.watermark.checkpoint.interval.ms = 5000 broker.id = 0 ssl.keystore.location = null listeners = PLAINTEXT://:9092 log.flush.interval.messages = 9223372036854775807 principal.builder.class = class org.apache.kafka.common.security.auth.DefaultPrincipalBuilder log.retention.ms = null offsets.commit.required.acks = -1 sasl.kerberos.principal.to.local.rules = [DEFAULT] group.max.session.timeout.ms = 30000 num.replica.fetchers = 1 advertised.listeners = null replica.socket.receive.buffer.bytes = 65536 delete.topic.enable = false log.index.interval.bytes = 4096 metric.reporters = [] compression.type = producer log.cleanup.policy = delete controlled.shutdown.max.retries = 3 log.cleaner.threads = 1 quota.window.size.seconds = 1 zookeeper.connection.timeout.ms = 6000 offsets.load.buffer.size = 5242880 zookeeper.session.timeout.ms = 6000 ssl.cipher.suites = null authorizer.class.name = sasl.kerberos.ticket.renew.jitter = 0.05 sasl.kerberos.service.name = null controlled.shutdown.enable = true offsets.topic.num.partitions = 50 quota.window.num = 11 message.max.bytes = 1000012 log.cleaner.backoff.ms = 15000 log.roll.jitter.hours = 0 log.retention.check.interval.ms = 300000 replica.fetch.max.bytes = 1048576 log.cleaner.delete.retention.ms = 86400000 fetch.purgatory.purge.interval.requests = 1000 log.cleaner.min.cleanable.ratio = 0.5 offsets.commit.timeout.ms = 5000 zookeeper.set.acl = false log.retention.bytes = -1 offset.metadata.max.bytes = 4096 leader.imbalance.check.interval.seconds = 300 quota.consumer.default = 9223372036854775807 log.roll.jitter.ms = null reserved.broker.max.id = 1000 replica.fetch.backoff.ms = 1000 advertised.host.name = null quota.producer.default = 9223372036854775807 log.cleaner.io.buffer.size = 524288 controlled.shutdown.retry.backoff.ms = 5000 log.dir = /tmp/kafka-logs log.flush.offset.checkpoint.interval.ms = 60000 log.segment.delete.delay.ms = 60000 num.partitions = 1 num.network.threads = 3 socket.request开发云主机域名.max.bytes = 104857600 sasl.kerberos.ticket.renew.window.factor = 0.8 log.roll.ms = null ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1] socket.send.buffer.bytes = 102400 log.flush.interval.ms = null ssl.truststore.location = null log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308 default.replication.factor = 1 metrics.sample.window.ms = 30000 auto.leader.rebalance.enable = true host.name = ssl.truststore.type = JKS advertised.port = null max.connections.per.ip.overrides = replica.fetch.min.bytes = 1 ssl.keystore.type = JKS(kafka.server.KafkaConfig)3、创建topic[root@node1 bin]# ./kafka-topics.sh –create –zookeeper localhost:2181 –replication-factor 1 –partitions 1 –topic testCreated topic “test”.4、列出topic列表[root@node1 bin]# ./kafka-topics.sh –list –zookeeper localhost:2181test5、生产消息[root@node1 bin]# ./kafka-console-producer.sh –broker-list localhost:9092 –topic testfhgfhfghgjgjhgjggjhgjkghknvnbv6、消费消息[root@node1 ~]# cd /opt/bigdata/kafka/bin/[root@node1 bin]# ./kafka-console-consumer.sh –zookeeper localhost:2181 –topic test –from-beginningfhgfhfghgjgjhgjggjhgjkghknvnbv到此,关于“kafka单机版环境的搭建方法”的学习就结束了,希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习,快去试试吧!若想继续学习更多相关知识,请继续关注开发云网站,小编会继续努力为大家带来更多实用的文章!
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