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這篇文章主要介紹“kafka單機版環境的搭建方法”,在日常操作中,相信很多人在kafka單機版環境的搭建方法問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”kafka單機版環境的搭建方法”的疑惑有所幫助!接下來,請跟著小編一起來學習吧!
1、啟動安裝zookeeper
[root@node1 bin]# ./zkServer.sh
JMX enabled by default
Using config: /opt/bigdata/zookeeper/bin/../conf/zoo.cfg
Usage: ./zkServer.sh {start|start-foreground|stop|restart|status|upgrade|print-cmd}
[root@node1 bin]# ./zkServer.sh start-foreground
JMX enabled by default
Using config: /opt/bigdata/zookeeper/bin/../conf/zoo.cfg
kafka環境搭建:
[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.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、創建topic
[root@node1 bin]# ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test
Created topic "test".
4、列出topic列表
[root@node1 bin]# ./kafka-topics.sh --list --zookeeper localhost:2181
test
5、生產消息
[root@node1 bin]# ./kafka-console-producer.sh --broker-list localhost:9092 --topic test
fhgfhfgh\
gjgjhgjg
gjhgjkghk
nvnbv
6、消費消息
[root@node1 ~]# cd /opt/bigdata/kafka/bin/
[root@node1 bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning
fhgfhfgh\
gjgjhgjg
gjhgjkghk
nvnbv
到此,關于“kafka單機版環境的搭建方法”的學習就結束了,希望能夠解決大家的疑惑。理論與實踐的搭配能更好的幫助大家學習,快去試試吧!若想繼續學習更多相關知識,請繼續關注億速云網站,小編會繼續努力為大家帶來更多實用的文章!
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