kafka环境搭建
来源:互联网 发布:linux配置代理 编辑:程序博客网 时间:2024/06/03 21:57
已经搭建好的zookeeper集群
下载kafka_2.11-0.10.0.1.tgz
tar -zxvf kafka_2.11-0.10.0.1.tgz
mv kafka_2.11-0.10.0.1 kafka
进入目录
cd kafka/config
修改配置文件
vim server.properties
broker.id=1
listeners=PLAINTEXT://:9092
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=102400
socket.receive.buffer.bytes=102400
socket.request.max.bytes=104857600
############################# Log Basics #############################
# A comma seperated list of directories under which to store log files
#设置日志目录
log.dirs=/home/spark/opt/kafka/kafkalogs
# The default number of log partitions per topic. More partitions allow greater
# parallelism for consumption, but this will also result in more files across
# the brokers.
num.partitions=1
# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
# This value is recommended to be increased for installations with data dirs located in RAID array.
num.recovery.threads.per.data.dir=1
############################# Log Flush Policy #############################
# Messages are immediately written to the filesystem but by default we only fsync() to sync
# the OS cache lazily. The following configurations control the flush of data to disk.
# There are a few important trade-offs here:
# 1. Durability: Unflushed data may be lost if you are not using replication.
# 2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
# 3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks.
# The settings below allow one to configure the flush policy to flush data after a period of time or
# every N messages (or both). This can be done globally and overridden on a per-topic basis.
# The number of messages to accept before forcing a flush of data to disk
#log.flush.interval.messages=10000
# The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms=1000
############################# Log Retention Policy #############################
# The following configurations control the disposal of log segments. The policy can
# be set to delete segments after a period of time, or after a given size has accumulated.
# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
# from the end of the log.
# The minimum age of a log file to be eligible for deletion
log.retention.hours=168
message.max.byte=5242880
default.replication.factor=2
replica.fetch.max.bytes=5242880
# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining
# segments don't drop below log.retention.bytes.
#log.retention.bytes=1073741824
# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=1073741824
# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
log.retention.check.interval.ms=300000
############################# Zookeeper #############################
# Zookeeper connection string (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
# You can also append an optional chroot string to the urls to specify the
# root directory for all kafka znodes.
#设置zookeeper的连接端口
zookeeper.connect=master:2181,slave4:2181,slave5:2181# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000
修改完保存
用scp -r发送到另外两台节点上
创建Topic来验证是否创建成功
创建Topic
./kafka-topics.sh --create --zookeeper master:2181 --replication-factor 2 --partitions 1 --topic my-topic
解释
--replication-factor 2 #复制两份
--partitions 1 #创建1个分区
--topic #主题为my-topic
-- ip??
在一台服务器上创建一个发布者
创建一个broker,发布者(ip??,端口??)
./kafka-console-producer.sh --broker-list slave4:9092 --topic my-topic
此时:console处于阻塞状态,可以直接输入数据。
在一台服务器上创建一个订阅者
./kafka-console-consumer.sh --zookeeper slave5:12181 --topic my-topic --from-beginning
此时:一旦有数据生成,此处的console中会显示数据
- Kafka分布式环境搭建
- Kafka分布式环境搭建
- Kafka开发环境搭建
- Kafka 分布式环境搭建
- Kafka分布式环境搭建
- kafka开发环境搭建
- Kafka分布式环境搭建
- Kafka开发环境搭建
- kafka环境搭建
- 搭建kafka运行环境
- Kafka分布式环境搭建
- Kafka开发环境搭建
- Kafka分布式环境搭建
- kafka环境搭建
- kafka环境搭建
- Kafka分布式环境搭建
- Kafka 分布式环境搭建
- kafka环境搭建
- 关于SQL模糊查询日期时间的方法
- 绑定 value 到 Vue 实例的一个动态属性上
- 页面内容不足一屏时显示在这一屏的最下方
- CentOS系统yum源使用报错:Error: Cannot retrieve repository metadata (repomd.xml) for repository: rpmforge.
- PHP I/O streams
- kafka环境搭建
- 控件修改状态
- 设置Android应用全屏显示(隐藏手机状态栏)
- ubuntu14.04服务器基本环境初始化
- iOS创建本地私有CocoaPods库
- 51nod 1149 Pi的递推式
- 记录Ubuntu部署tomcat的坑,新手 没办法
- Oracle中如何获取当天时间的最开始的时间和最结尾的时间
- for语句的简单练习 打印三角 九九乘法表 累加