graylog+kafka+zookeeper（单机测试及源码），kafka+zookeeper组件部署（二）

graylog+kafka+zookeeper（单机测试及源码），kafka+zookeeper组件部署（二）

graylog+kafka+zookeeper（单机测试及源码），kafka+zookeeper组件部署（二）

问题背景

graylog+kafka+zookeeper（单机测试及源码），graylog组件部署，查找问题分析（一）graylog+kafka+zookeeper（单机测试及源码），kafka+zookeeper组件部署（二） 安装步骤问题总结Lyric： 远距离诉说

问题背景

上一个篇章安装部署了 graylog 以及问题分析，这个篇章安装单机版的 kafka+zookeeper 进行测试，kafka+zookeeper下载链接

graylog+kafka+zookeeper（单机测试及源码），graylog组件部署，查找问题分析（一） graylog+kafka+zookeeper（单机测试及源码），kafka+zookeeper组件部署（二） 安装步骤

下载了kafka和zookeeper压缩包之后，使用 Xshell 进行解压，拷贝时默认需要 root 权限，不然不能传输

tar -zxvf kafka+zookeeper.tar

单机部署zookeeper，解压zookeeper

tar  –zxvf  zookeeper-3.4.14.tar.gz

进入…zookeeper/conf 文件夹

5. 更改 zoo_sample.cfg 为 zoo.cfg

mv zoo_sample.cfg  zoo.cfg

修改 zoo.cfg 配置文件

vim zoo.cfg

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/opt/modules/zookeeper/zkdata
dataLogDir=/opt/modules/zookeeper/zkdatalog
# the port at which the clients will connect
clientPort=2181
server.1=10.10.195.199:2888:3888
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1

6. 在 /opt/modules/zookeeper/zkdata 路径下创建 myid 文件

vim /opt/modules/zookeeper/zkdata/myid

7.写入数字 1

8. 进入cd /opt/modules/zookeeper/bin，启动zookeeper

./zkServer.sh start

9. 查看 zookeeper 状态，为 standalone 单机模式

./zkServer.sh status

10 可以使用 jps 查看 java 进程

jps

11 单机部署kafka，解压kafka安装包

tar -zxvf kafka_2.11-1.0.0.tgz

12 进入config文件夹，/opt/modules/kafka/config

vim server.properties

单机部署 kafka 主要修改了这几项

broker.id=0
delete.topic.enable=true
port=9092
listeners=PLAINTEXT://:9092
advertised.listeners=PLAINTEXT://10.10.195.199:9092
host.name=10.10.195.199
log.dirs=/opt/modules/kafka/kafkalogs
zookeeper.connect=10.10.195.199:2181

# 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
delete.topic.enable=true
port=9092
############################# Socket Server Settings #############################

# The address the socket server listens on. It will get the value returned from 
# java.net.InetAddress.getCanonicalHostName() if not configured.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://:9092

# Hostname and port the broker will advertise to producers and consumers. If not set, 
# it uses the value for "listeners" if configured.  Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
advertised.listeners=PLAINTEXT://10.10.195.199:9092
host.name=10.10.195.199
# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL

# The number of threads that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3

# The number of threads that the server uses for processing requests, which may include 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/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

############################# Internal Topic Settings  #############################
# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
# For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=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 due to age
log.retention.hours=168

# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments drop below log.retention.bytes. Functions independently of log.retention.hours.
#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.
zookeeper.connect=10.10.195.199:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000


############################# Group Coordinator Settings #############################

# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
# The default value for this is 3 seconds.
# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.
group.initial.rebalance.delay.ms=0

13 进入 /opt/modules/kafka/bin，启动kafka

./kafka-server-start.sh -daemon ../config/server.properties
jps

14 创建 kafka 的 topic，名字为 test

./kafka-topics.sh --create --zookeeper 10.10.195.199:2181 --replication-factor 1 --partitions 1 --topic test

查看topic列表

./kafka-topics.sh --list --zookeeper 10.10.195.199:2181

15 创建发布者

./kafka-console-producer.sh --broker-list 10.10.195.199:9092 --topic test

16 Xshell再开一个窗口，创建订阅者

./kafka-console-consumer.sh --zookeeper 10.10.195.199:2181 --from-beginning --topic test

17 发布者发送消息，订阅者接收消息


18 查看日志文件，

./kafka-run-class.sh kafka.tools.DumpLogSegments --files /opt/modules/kafka/kafkalogs/test-0/00000000000000000000.log  --print-data-log

1 删除topic

./kafka-topics.sh --zookeeper 10.10.195.199:2181 --delete --topic test

问题总结

1 慢慢安装，问题不大，起不来一定看看防火墙有没有关闭，还有端口是否被占用

netstat -nltp | grep 2181
systemctl stop firewalld

作为程序员第十篇文章，每次写一句歌词记录一下，看看人生有几首歌的时间，wahahaha …

Lyric： 远距离诉说