在Linux环境下部署confluent platform

1. confluent platform的简单介绍：

confluent platform是一个可靠、高性能的流平台，提供组织和管理来自不同数据源数据的功能。（这个说法太正式，反正我是简单粗暴地把它当成kafka和一些扩展kafka功能的一套组件~）

2. confluent platform的部署流程：

废话不多说，直接开搞~

(1) 安装JDK（建议安装1.8的）

这个很简单，就跳过吧，不会的请自行度娘~

(2) 配置主机名和ip的映射（zookeeper的主机之间是使用主机名相互通信的）

vim /etc/hosts
192.168.20.240     host240
192.168.20.239     host239
192.168.20.238     host238

(ps: zookeeper至少需要三台机子，然后改hosts需要root权限~)

(3) 安装zookeeper

虽然confluent platform自带一个，但是还是推荐自己装一个更高版本的~

a. 下载

zookeeper

b. 解压后进入目录

tar -zxf zookeeper-3.4.11.tar.gz
cd zookeeper-3.4.11

c. 添加配置文件

复制一份conf/zoo_sample.cfg，命名为zoo.cfg

cp conf/zoo_sample.cfg conf/zoo.cfg

我的配置（修改的会有中文说明）如下：

# 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.
#zookeeper数据目录
dataDir=/data/zookeeper
# the port at which the clients will connect
clientPort=2181
# 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
#根据机子数目做相应的配置,server.x中的x是下面myid需要的
server.240=host240:2888:3888
server.239=host239:2888:3888
server.238=host238:2888:3888

(ps:这个配置每台机子都一样~)

d. 添加myid文件

在上一步配置的zookeeper数据目录下新建文件myid，加入上一步对应配置的x（比如host240对应配置的是240）

cat /data/zookeeper/myid
240

e. 启动zookeeper

分别在三台主机上启动

bin/zkServer.sh start

(4) confluent platform安装

a. 下载

https://www.confluent.io/download/

(ps: 选择下载开源版本，邮件可以乱填，只要能通过邮件的正则校验即可，不用登陆邮件确认~)

b. 解压后进入目录

tar -zxf confluent-oss-4.0.0-2.11.tar.gz
cd confluent-oss-4.0.0

c. 修改配置文件

至少需要配置etc/kafka目录下的server.properties，我的配置（修改的会有中文说明）如下:

# 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.
# kafka broker id，必须唯一
broker.id=240

# Switch to enable topic deletion or not, default value is false
# 这个默认是false，不过建议打开方便删除~
delete.topic.enable=true

############################# 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
# kafka 监听端口，默认是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://your.host.name:9092

# 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
# kafka 日志保存路径
log.dirs=/data/gameserver/bigdata/confluent

# 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.
# 默认分区数(创建topic不指定分区数目时)
num.partitions=32

# 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
# 日志保存时长
log.retention.hours=48

# 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地址（没有/confluent的话会保存在zookeeper的根目录~）
zookeeper.connect=host240:2181,host239:2181,host238:2181/confluent

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

##################### Confluent Metrics Reporter #######################
# Confluent Control Center and Confluent Auto Data Balancer integration
#
# Uncomment the following lines to publish monitoring data for
# Confluent Control Center and Confluent Auto Data Balancer
# If you are using a dedicated metrics cluster, also adjust the settings
# to point to your metrics kakfa cluster.
#metric.reporters=io.confluent.metrics.reporter.ConfluentMetricsReporter
#confluent.metrics.reporter.bootstrap.servers=localhost:9092
#
# Uncomment the following line if the metrics cluster has a single broker
#confluent.metrics.reporter.topic.replicas=1

##################### Confluent Proactive Support ###################### 
# If set to true, and confluent-support-metrics package is installed
# then the feature to collect and report support metrics
# ("Metrics") is enabled.  If set to false, the feature is disabled.
confluent.support.metrics.enable=false

############################# 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


# The customer ID under which support metrics will be collected and
# reported.
#
# When the customer ID is set to "anonymous" (the default), then only a
# reduced set of metrics is being collected and reported.
#
# Confluent customers
# -------------------
# If you are a Confluent customer, then you should replace the default
# value with your actual Confluent customer ID.  Doing so will ensure
# that additional support metrics will be collected and reported.
#
confluent.support.customer.id=anonymous

这里只展示kafka的配置，其他组件的配置也都在etc目录下，根据自己的需要选择相应的配置即可~
(ps：别忘了host239和host238两台机子也需要做相同的配置，除了broker.id之外~)

d. 启动

启动脚本都在bin目录下面，分别在三台机子上启动命令

nohup ./bin/kafka-server-start ./etc/kafka/server.properties &

先通过Java的jps命令查看是否存在SupportedKafka进程，再查看logs/server.log是否有报错信息。
(ps：其他的组件基本上都是修改配置，然后用上面类似的启动命令启动，就不一一展示了~)

e. 测试

如果启动没问题了，可以试着在一台机子新建topic

bin/kafka-topics --create --zookeeper  host240:2181,host239:2181,host238:2181/confluent --replication-factor 1 --partitions 1 --topic test

然后在其他机子查看是否能看到新建的topic

bin/kafka-topics --list --zookeeper host240:2181,host239:2181,host238:2181/confluent

如果能看到的话基本就算装好了，可以试着往里面写点数据

bin/kafka-console-producer --broker-list host240:9092,host239:9092,host238:9092 --topic test
This is a message

然后读取看看

bin/kafka-console-consumer --bootstrap-server host240:9092,host239:9092,host238:9092 --topic test --from-beginning

如果能读取到写入的数据，kafka就算启动成功了。