051 Kafka的安装
后来重新复习的时候,发现这篇文章不错:https://www.cnblogs.com/z-sm/p/5691760.html
一:前提
1.安装条件
Java Scala
zookeeper
Kafka
2.使用版本
使用的版本是0.8.2.1
------------------
二:伪分布式安装
1.解压
kafka_2.10-0.8.2.1
2.拷贝server.properties
3.依次修改四个文件
官网上:说明这三个配置项是必要的。
主要要配置的有:
broker.id=0 :服务器唯一标识
port=9092 :服务器监听端口
host.name=linux-hadoop01.ibeifeng.com : 服务器监听主机名
log.dirs=/opt/modules/kafka_2.10-0.8.2.1/data/0 :kafka数据存储路径
zookeeper.connect=linux-hadoop01.ibeifeng.com:2181/kafka :元数据管理的zookeeper的配置信息
需要修改四个文件,这里只写第一个。
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# see kafka.server.KafkaConfig for additional details and defaults ############################# Server Basics ############################# # The id of the broker. This must be set to a unique integer for each broker.
broker.id=0 ############################# Socket Server Settings ############################# # The port the socket server listens on
port=9092 # Hostname the broker will bind to. If not set, the server will bind to all interfaces
host.name=linux-hadoop01.ibeifeng.com # Hostname the broker will advertise to producers and consumers. If not set, it uses the
# value for "host.name" if configured. Otherwise, it will use the value returned from
# java.net.InetAddress.getCanonicalHostName().
#advertised.host.name=<hostname routable by clients> # The port to publish to ZooKeeper for clients to use. If this is not set,
# it will publish the same port that the broker binds to.
#advertised.port=<port accessible by clients> # The number of threads handling network requests
num.network.threads=3 # The number of threads doing disk I/O
num.io.threads=8 # The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=102400 # The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=102400 # The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600 ############################# Log Basics ############################# # A comma seperated list of directories under which to store log files
log.dirs=/opt/modules/kafka_2.10-0.8.2.1/data/0 # 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 # 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 # By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires.
# If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction.
log.cleaner.enable=false ############################# 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.
zookeeper.connect=linux-hadoop01.ibeifeng.com:2181/kafka # Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000
4.启动ZK
5.进入zkCli
6.启动kafka
具体的jps
7.这个时候再看zkCli
看ids:
看ids=0的值:
8.关闭命令
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