Storm之——Storm+Kafka+Flume+Zookeeper+MySQL实现数据实时分析(环境搭建篇)

妖狐艹你老母 2022-04-04 09:29 179阅读 0赞

# Storm之——Storm+Kafka+Flume+Zookeeper+MySQL实现数据实时分析(环境搭建篇) #

2018年03月04日 23:05:29 [冰 河][Link 1] 阅读数：1602更多

所属专栏： [Hadoop生态][Hadoop]

[转载请注明出处：http://blog.csdn.net/l1028386804/article/details/79440511][http_blog.csdn.net_l1028386804_article_details_79440511]

### 一、服务器配置 ###

Storm:apache-storm-1.1.1.tar.gz  
下载地址为：[https://archive.apache.org/dist/storm/apache-storm-1.1.1/apache-storm-1.1.1.tar.gz][https_archive.apache.org_dist_storm_apache-storm-1.1.1_apache-storm-1.1.1.tar.gz]  
  
Flume:apache-flume-1.8.0-bin.tar.gz  
下载地址：[http://www.apache.org/dyn/closer.lua/flume/1.8.0/apache-flume-1.8.0-bin.tar.gz][http_www.apache.org_dyn_closer.lua_flume_1.8.0_apache-flume-1.8.0-bin.tar.gz]  
  
Kafka:kafka\_2.12-1.0.0.tgz  
下载地址：[https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/kafka\_2.12-1.0.0.tgz][https_www.apache.org_dyn_closer.cgi_path_kafka_1.0.0_kafka_2.12-1.0.0.tgz]

Zookeeper：3.4.9

具体安装参考博文《[Hadoop之——Hadoop2.5.2 HA高可靠性集群搭建(Hadoop+Zookeeper)][Hadoop_Hadoop2.5.2 HA_Hadoop_Zookeeper]》或 《[Storm之——搭建Storm集群][Storm_Storm]》

MySQL：5.6

MySQL的安装具体参见博文：《[MySQL之——CentOS6.5 编译安装MySQL5.6.16][MySQL_CentOS6.5 _MySQL5.6.16]》

### 二、环境搭建 ###

1、安装Zookeeper

具体安装参考博文《[Hadoop之——Hadoop2.5.2 HA高可靠性集群搭建(Hadoop+Zookeeper)][Hadoop_Hadoop2.5.2 HA_Hadoop_Zookeeper]》或 《[Storm之——搭建Storm集群][Storm_Storm]》

2、安装MySQL

MySQL的安装具体参见博文：《[MySQL之——CentOS6.5 编译安装MySQL5.6.16][MySQL_CentOS6.5 _MySQL5.6.16]》

3、Flume安装

依次输入以下命令安装Flume

wget http://mirrors.shu.edu.cn/apache/flume/1.8.0/apache-flume-1.8.0-bin.tar.gz
    tar -zxvf apache-flume-1.8.0-bin.tar.gz
    cd apache-flume-1.8.0-bin/conf
    vim flume-conf.properties

输入的内容如下：

a1.sources = r1
    a1.sinks = k1
    a1.channels = c1
    
    # Describe/configure the source
    a1.sources.r1.type = exec
    a1.sources.r1.command = tail -F /home/flume/log.log
    
    # Describe the sink
    #a1.sinks.k1.type = logger
    a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
    a1.sinks.k1.topic = wordCount
    a1.sinks.k1.brokerList = 192.168.209.121:9092
    a1.sinks.k1.requiredAcks = 1
    a1.sinks.k1.batchSize = 20
    
    # Use a channel which buffers events in memory
    a1.channels.c1.type = memory
    a1.channels.c1.capacity = 1000
    a1.channels.c1.transactionCapacity = 100
    
    # Bind the source and sink to the channel
    a1.sources.r1.channels = c1
    a1.sinks.k1.channel = c1

输入wq退出。

注意：我们的Flume配置中，监听了/home/flume/log.log作为日志的数据来源，同时我们将监听到的日志发送到Kafka的wordCount主题上。

输入以下命令启动Flume

bin/flume-ng agent --conf conf --conf-file conf/flume-conf.properties --name a1 -Dflume.root.logger=INFO,console

4、安装Kafka

依次输入以下命令安装Kafka

wget http://mirrors.tuna.tsinghua.edu.cn/apache/kafka/1.0.0/kafka_2.12-1.0.0.tgz
    tar -zxvf kafka_2.12-1.0.0.tgz
    cd kafka_2.12-1.0.0/config
    vim server.properties

内容如下：

# 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.
    broker.id=0
    
    ############################# 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
    port=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://192.168.209.121:9092
    
    # 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
    log.dirs=/usr/local/kafka_2.12-1.0.0/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
    
    ############################# 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=192.168.209.121:2181
    advertised.host.name=192.168.209.121
    
    # 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

之后我们输入如下命令启动Kafka并创建主题wordCount

启动Kafka
    ./bin/kafka-server-start.sh /usr/local/kafka_2.12-1.0.0/config/server.properties  
    后台启动Kafka
    ./bin/kafka-server-start.sh -daemon /usr/local/kafka_2.12-1.0.0/config/server.properties  
    然后我们在Kafka上创建wordCount主题
    ./bin/kafka-topics.sh --create --zookeeper 192.168.209.121:2181 --replication-factor 1 -partitions 3 --topic wordCount

5、安装Storm

依次输入以下命令安装配置Storm

https://archive.apache.org/dist/storm/apache-storm-1.1.1/apache-storm-1.1.1.tar.gz
    tar -zxvf apache-storm-1.1.1.tar.gz
    cd apache-storm-1.1.1/conf
    vim storm.yaml

内容如下：

#
    ## List of custom kryo decorators
    # topology.kryo.decorators:
    #     - org.mycompany.MyDecorator
    #
    ## Locations of the drpc servers
    drpc.servers:
         - "liuyazhuang121"
    #     - "server2"
    
    ## Metrics Consumers
    ## max.retain.metric.tuples
    ## - task queue will be unbounded when max.retain.metric.tuples is equal or less than 0.
    ## whitelist / blacklist
    ## - when none of configuration for metric filter are specified, it'll be treated as 'pass all'.
    ## - you need to specify either whitelist or blacklist, or none of them. You can't specify both of them.
    ## - you can specify multiple whitelist / blacklist with regular expression
    ## expandMapType: expand metric with map type as value to multiple metrics
    ## - set to true when you would like to apply filter to expanded metrics
    ## - default value is false which is backward compatible value
    ## metricNameSeparator: separator between origin metric name and key of entry from map
    ## - only effective when expandMapType is set to true
    # topology.metrics.consumer.register:
    #   - class: "org.apache.storm.metric.LoggingMetricsConsumer"
    #     max.retain.metric.tuples: 100
    #     parallelism.hint: 1
    #   - class: "org.mycompany.MyMetricsConsumer"
    #     max.retain.metric.tuples: 100
    #     whitelist:
    #       - "execute.*"
    #       - "^__complete-latency$"
    #     parallelism.hint: 1
    #     argument:
    #       - endpoint: "metrics-collector.mycompany.org"
    #     expandMapType: true
    #     metricNameSeparator: "."
    
    ## Cluster Metrics Consumers
    # storm.cluster.metrics.consumer.register:
    #   - class: "org.apache.storm.metric.LoggingClusterMetricsConsumer"
    #   - class: "org.mycompany.MyMetricsConsumer"
    #     argument:
    #       - endpoint: "metrics-collector.mycompany.org"
    #
    # storm.cluster.metrics.consumer.publish.interval.secs: 60
    
    storm.local.dir: /home/storm
    supervisor.slots.ports:
       - 6700
       - 6701
       - 6702
       - 6703
    
    
    storm.messaging.transport: "backtype.storm.messaging.netty.Context"
    "storm.yaml" 92L, 3366C written
    [root@liuyazhuang121 conf]# 
    [root@liuyazhuang121 conf]# 
    [root@liuyazhuang121 conf]# pwd
    /usr/local/apache-storm-1.1.1/conf
    [root@liuyazhuang121 conf]# vim storm.yaml 
    #
    ## List of custom kryo decorators
    # topology.kryo.decorators:
    #     - org.mycompany.MyDecorator
    #
    ## Locations of the drpc servers
    drpc.servers:
         - "liuyazhuang121"
    #     - "server2"
    
    ## Metrics Consumers
    ## max.retain.metric.tuples
    ## - task queue will be unbounded when max.retain.metric.tuples is equal or less than 0.
    ## whitelist / blacklist
    ## - when none of configuration for metric filter are specified, it'll be treated as 'pass all'.
    ## - you need to specify either whitelist or blacklist, or none of them. You can't specify both of them.
    ## - you can specify multiple whitelist / blacklist with regular expression
    ## expandMapType: expand metric with map type as value to multiple metrics
    ## - set to true when you would like to apply filter to expanded metrics
    ## - default value is false which is backward compatible value
    ## metricNameSeparator: separator between origin metric name and key of entry from map
    ## - only effective when expandMapType is set to true
    # topology.metrics.consumer.register:
    #   - class: "org.apache.storm.metric.LoggingMetricsConsumer"
    #     max.retain.metric.tuples: 100
    #     parallelism.hint: 1
    #   - class: "org.mycompany.MyMetricsConsumer"
    #     max.retain.metric.tuples: 100
    #     whitelist:
    #       - "execute.*"
    #       - "^__complete-latency$"
    #     parallelism.hint: 1
    #     argument:
    #       - endpoint: "metrics-collector.mycompany.org"
    #     expandMapType: true
    #     metricNameSeparator: "."
    
    ## Cluster Metrics Consumers
    # storm.cluster.metrics.consumer.register:
    #   - class: "org.apache.storm.metric.LoggingClusterMetricsConsumer"
    #   - class: "org.mycompany.MyMetricsConsumer"
    #     argument:
    #       - endpoint: "metrics-collector.mycompany.org"
    #
    # storm.cluster.metrics.consumer.publish.interval.secs: 60
    
    storm.local.dir: /home/storm
    supervisor.slots.ports:
       - 6700
       - 6701
       - 6702
       - 6703
    
    
    storm.messaging.transport: "backtype.storm.messaging.netty.Context"

输入以下命令启动storm

nohup ./bin/storm nimbus >> /dev/null &
    nohup ./bin/storm ui >> /dev/null &
    nohup ./bin/storm supervisor >> /dev/null &
    nohup ./bin/storm drpc >> /dev/null &

至此，环境搭建完毕

[Link 1]: https://me.csdn.net/l1028386804
[Hadoop]: https://blog.csdn.net/column/details/13795.html
[http_blog.csdn.net_l1028386804_article_details_79440511]: http://blog.csdn.net/l1028386804/article/details/79440511
[https_archive.apache.org_dist_storm_apache-storm-1.1.1_apache-storm-1.1.1.tar.gz]: https://archive.apache.org/dist/storm/apache-storm-1.1.1/apache-storm-1.1.1.tar.gz
[http_www.apache.org_dyn_closer.lua_flume_1.8.0_apache-flume-1.8.0-bin.tar.gz]: http://www.apache.org/dyn/closer.lua/flume/1.8.0/apache-flume-1.8.0-bin.tar.gz
[https_www.apache.org_dyn_closer.cgi_path_kafka_1.0.0_kafka_2.12-1.0.0.tgz]: https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/kafka_2.12-1.0.0.tgz
[Hadoop_Hadoop2.5.2 HA_Hadoop_Zookeeper]: http://blog.csdn.net/l1028386804/article/details/52728397
[Storm_Storm]: http://blog.csdn.net/l1028386804/article/details/78419484
[MySQL_CentOS6.5 _MySQL5.6.16]: http://blog.csdn.net/l1028386804/article/details/52181103