kafka学习之-集群配置及安装

1.软件版本

• kafka2.10_0.9.0.0
• zookeeper_3.4.6

2.集群节点

　　一共有3台机器.

192.168.14.100   slave-01
192.168.14.105   slave-02
192.168.14.102   slave-03 

3.zk的安装 见http://www.cnblogs.com/200911/p/4947253.html

4.kafka的安装

　　Kafka的broker、producer、consumer、topic等概念以及原理可以查阅官方文档

　本次实验采用的多节点多broker集群模式，为每一台机器分配一个broker id。

# 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=1

############################# Socket Server Settings #############################

listeners=PLAINTEXT://:9092

# 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=192.168.14.100

# 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=192.168.14.100

# 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=4

# 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=/tmp/kafka-logs

# 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
auto.create.topics.enable=true
log.index.interval.bytes=4096
log.index.size.max.bytes=10485760
############################# 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=20000

# The maximum amount of time a message can sit in a log before we force a flush
log.flush.interval.ms=10000
log.flush.scheduler.interval.ms=2000
log.retention.check.interval.ms=300000
############################# 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
############################# partition replicas #############################
num.replica.fetchers=4
replica.fetch.max.bytes=1048576
replica.fetch.wait.max.ms =500
replica.high.watermark.checkpoint.interval.ms=5000
controller.socket.timeout.ms =30000
controller.message.queue.size=10
replica.lag.time.max.ms =10000
replica.lag.max.messages =4000
replica.socket.timeout.ms=30000
replica.socket.receive.buffer.bytes=65536

############################# 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=192.168.14.100:2181,192.168.14.105:2181,192.168.14.102:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000
zookeeper.sync.time.ms=2000
zookeeper.session.timeout.ms=6000

修改完成后分发到另外三台机器上。

启动测试：依次启动每台机器。

nohup ./kafka-server-start.sh ../config/server.properties &

http://yanliu.org/2015/08/31/kafka%E9%9B%86%E7%BE%A4%E9%85%8D%E7%BD%AE/