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lagstash + elasticsearch + kibana 3 + kafka 日志管理系统部署 02

时间:2015-06-19 23:02:42      阅读:356      评论:0      收藏:0      [点我收藏+]

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因公司数据安全和分析的需要,故调研了一下  GlusterFS + lagstash + elasticsearch + kibana 3 + redis 整合在一起的日志管理应用:

安装,配置过程,使用情况等续

一,glusterfs分布式文件系统部署: 说明: 公司想做网站业务日志及系统日志统一收集和管理,经过对mfs, fastdfs 等分布式文件系统的调研,最后选择了 glusterfs,因为Gluster具有高扩展性、高性能、高可用性、可横向扩展的弹性特点,无元数据服务器设计使glusterfs没有单点故障隐 患,官网:www.gluster.org

1. 系统环境准备:

Centos 6.4 服务端: 192.168.10.101 192.168.10.102 192.168.10.188 192.168.10.189 客户端: 192.168.10.103 EPEL源和GlusterFS源 增加EPEL源和GLusterFS源,EPEL源中包含GLusterFS,版本比较旧,相对稳定,本次测试采用最新的3.5.0版本。

     rpm -Uvh http://dl.fedoraproject.org/pub/epel/6/x86_64/epel-release-6-8.noarch.rpm
     wget -P /etc/yum.repos.dhttp://download.gluster.org/pub/gluster/glusterfs/LATEST/CentOS/glusterfs-epel.repo

2. 部署过程

     服务端安装:

     yum -y install glusterfs glusterfs-fuseglusterfs-server
     chkconfig glusterd on
     service glusterd start
     服务端配置:
     将4个存储节点组成一集群,本文在第一个节点执行,只需要在任意节点执行就ok。

     [root@db1 ~]# gluster peer probe192.168.10.102
     probe successful
     [root@db1 ~]# gluster peer probe192.168.10.188
     probe successful
     [root@db1 ~]# gluster peer probe 192.168.10.189
     probe successful
     查看集群的节点信息:

     [root@db1 ~]# gluster peer status
     number of peers: 3
     hostname: 192.168.10.102
     uuid:b9437089-b2a1-4848-af2a-395f702adce8
     state: peer in cluster (connected)
     hostname: 192.168.10.188
     uuid: ce51e66f-7509-4995-9531-4c1a7dbc2893
     state: peer in cluster (connected)
     hostname: 192.168.10.189
     uuid:66d7fd67-e667-4f9b-a456-4f37bcecab29
     state: peer in cluster (connected)
     以/data/gluster为共享目录,创建名为test-volume的卷,副本数为2:

      sh cmd.sh "mkdir /data/gluster"
     [root@db1 ~]#  gluster volume create test-volume replica 2192.168.10.101:/data/gluster 192.168.10.102:/data/gluster192.168.10.188:/data/gluster 192.168.10.189:/data/gluster
     creation of volume test-volume has beensuccessful. please start the volume to access data.
     启动卷:

     [root@db1 ~]# gluster volume starttest-volume
     starting volume test-volume has beensuccessful
     查看卷状态:

     [root@db1 ~]# gluster volume info
     volume name: test-volume
     type: distributed-replicate
     status: started
     number of bricks: 2 x 2 = 4
     transport-type: tcp
     bricks:
     brick1: 192.168.10.101:/data/gluster
     brick2: 192.168.10.102:/data/gluster
     brick3: 192.168.10.188:/data/gluster
     brick4: 192.168.10.189:/data/gluster

3. 客户端安装配置:

     安装:

     yum -y installglusterfs glusterfs-fuse
     挂载:

     mount -t glusterfs 192.168.10.102:/test-volume/mnt/ (挂载任意一个节点即可)推荐用这种方式。

     mount -t nfs -o mountproto=tcp,vers=3192.168.10.102:/test-volume /log/mnt/ (使用nfs挂载,注意远端的rpcbind服务必须开启)
     echo "192.168.10.102:/test-volume/mnt/ glusterfs defaults,_netdev 0 0" >> /etc/fstab (开机自动挂载)

4. 测试

     检查文件正确性

     dd if=/dev/zero of=/mnt/1.img bs=1Mcount=1000 # 在挂载客户端生成测试文件
     cp /data/navy /mnt/  # 文件拷贝到存储上

     宕机测试。
     使用glusterfs-fuse挂载,即使目标服务器故障,也完全不影响使用。用NFS则要注意挂载选项,否则服务端故障容易导致文件系统halt住而影响服务!

     # 将其中一个节点停止存储服务service glusterd stop
     service glusterfsd stop# 在挂载客户端删除测试文件
     rm -fv /mnt/navy# 此时在服务端查看,服务被停止的节点上navy并未被删除。此时启动服务:serviceglusterd start# 数秒后,navy就被自动删除了。新增文件效果相同!

5. 运维常用命令:

     删除卷
     gluster volume stop test-volume
     gluster volume delete test-volume
     将机器移出集群
     gluster peer detach 192.168.10.102
     只允许172.28.0.0的网络访问glusterfs
     gluster volume set test-volumeauth.allow 192.168.10.*
     加入新的机器并添加到卷里(由于副本数设置为2,至少要添加2(4、6、8..)台机器)
     gluster peer probe 192.168.10.105
     gluster peer probe 192.168.10.106
     gluster volume add-brick test-volume192.168.10.105:/data/gluster 192.168.10.106:/data/gluster
     收缩卷
     # 收缩卷前gluster需要先移动数据到其他位置
     gluster volume remove-brick test-volume192.168.10.101:/data/gluster/test-volume192.168.10.102:/data/gluster/test-volume start
     # 查看迁移状态
     gluster volume remove-brick test-volume192.168.10.101:/data/gluster/test-volume192.168.10.102:/data/gluster/test-volume status
     # 迁移完成后提交
     gluster volume remove-brick test-volume192.168.10.101:/data/gluster/test-volume192.168.10.102:/data/gluster/test-volume commit
     迁移卷
     # 将192.168.10.101的数据迁移到,先将192.168.10.107加入集群
     gluster peer probe 192.168.10.107
     gluster volume replace-bricktest-volume 192.168.10.101:/data/gluster/test-volume192.168.10.107:/data/gluster/test-volume start
     # 查看迁移状态gluster volume replace-brick test-volume192.168.10.101:/data/gluster/test-volume192.168.10.107:/data/gluster/test-volume status
     # 数据迁移完毕后提交gluster volume replace-brick test-volume192.168.10.101:/data/gluster/test-volume192.168.10.107:/data/gluster/test-volume commit
     # 如果机器192.168.10.101出现故障已经不能运行,执行强制提交然后要求gluster马上执行一次同步
     gluster volume replace-bricktest-volume 192.168.10.101:/data/gluster/test-volume192.168.10.102:/data/gluster/test-volume commit -force
     gluster volume heal test-volumes full
     24007

二.日志收集系统部署

说明简解:

系统各部分应用介绍
Logstash:做系统log收集,转载的工具。同时集成各类日志插件,对日志查询和分析的效率有很大的帮助.一般使用shipper作为log收集、indexer作为log转载.
Logstash shipper收集log 并将log转发给redis 存储
Logstash indexer从redis中读取数据并转发给elasticsearch
redis:是一个db,logstash shipper将log转发到redis数据库中存储。Logstash indexer从redis中读取数据并转发给elasticsearch。
kafka:这里我们把redis换作用kafka,主要用于处理活跃的流式数据,高吞吐率,显式分布式,支持数据并行加载
Elasticsearch:开源的搜索引擎框架,前期部署简单,使用也简单,但后期需要做必要的优化具体请参照博客http://chenlinux.com/categories.html#logstash-ref  中logstash部分.可进行多数据集群,提高效率。从redis中读取数据,并转发到kibana中
Kibana: 开源web展现。

日志收集系统架构图:

技术分享

虚拟服务器准备:

    192.168.10.143    logstash  shipper        日志数据生产端
    192.168.10.144   logstash indexer  kafka    日志消费端将日志写入elasticsearch集群
    192.168.10.145    elasticsearch-node1  kibana3   kibana展显elasticsearch中的数据
    192.168.10.146   elasticsearch-node2

1.三台主机都要安装jdk 1.7 推荐oracle jdk 1.7+版本 java -version 设置java的环境变量,比如

    vim ~/.bashrc

    >>
    JAVA_HOME=/usr/java/jdk1.7.0_55
    PATH=$PATH:/$JAVA_HOME/bin
    CLASSPATH=.:$JAVA_HOME/lib
    JRE_HOME=$JAVA_HOME/jre
    export JAVA_HOME PATH CLASSPATH JRE_HOME 
    >>
    source ~/.bashrc

2.安装kafka(192.168.10.144) wget http://mirrors.hust.edu.cn/apache/kafka/0.8.1.1/kafka2.9.2-0.8.1.1.tgz tar zxvf kafka2.9.2-0.8.1.1.tgz ln –s kafka_2.9.2-0.8.1.1 /usr/local/kafka vim /usr/local/kafka/config/server.properties broker.id=10-144 host.name=kafka-10-144 echo “192.168.10.144 kafka-10-144” >> /etc/hosts 注意kafka启动依懒于zookeeper,需要安装一下zookeeper-server cdh5.2源上有,配置好yum源即可 yum install zookeeper-server –y vim /etc/zookeeper/conf/zoo.cfg dataDir=/data/zookeeper 配置一下zookeeper 数据存放路径 启动zookeeper和kafka /etc/init.d/zookeeper-server start nohup /usr/local/kafka/bin/kafka-server-start.sh /usr/local/kafka/config/server.properties &

3.安装Elasticsearch(192.168.10.145)

    wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.4.1.tar.gz 
    elasticsearch解压即可使用非常方便,接下来我们看一下效果,首先启动ES服务,切换到elasticsearch目录,运行bin下的elasticsearch
    tar zxvf elasticsearch-1.4.1.tar.gz
    ln –s elasticsearch-1.4.1 /usr/local/es
    cd  /usr/local/es/
    vim config/elasticsearch.yml  添加如下配置,要不然kibana调es时会报错(es 1.4 和kibana 3.1.2版本的问题)
    cluster.name: elasticsearch   打开前面注释
    node.name: "G1-logs-es02"  打开前面注释,根据主机名配置,做集群
    http.cors.enabled: true
    http.cors.allow-origin: "*"

    nohup bin/elasticsearch &
    访问默认的9200端口

    curl -X GET http://localhost:9200

        Elasticsearch(192.168.10.146)的安装同上:

4.安装logstash (192.168.10.143 ,192.168.10.144)生产端和消费端都要安装 这里参考了 http://blog.csdn.net/xzwdev/article/details/41278033 https://github.com/joekiller/logstash-kafka git clone https://github.com/joekiller/logstash-kafka

                    cd  /usr/local/src/logstash-kafka
                    make tarball    编译kakfa支持logstash 时间比较长,大概两个小时
                    会在/usr/local/src/logstash-kafka/build/ 目录生成logstash-1.4.2.tar.gz 文件,
                logstash-1.4.2.tar.gz文件后面会在日志生产端和消费日志传输用,

生产日志端配置并启动(192.168.10.143)

配置收集haproxy日志示例:
                tar zxvf logstash-1.4.2.tar.gz
                ln –s logstash-1.4.2 /usr/local/logstash

                vim /usr/local/logstash/conf/ logstash_shipper_haproxy.conf
                input{

                    file{
            path => "/data/application/haproxy-1.4.18/logs/haproxy.log"   指定所收集的日志文件路径
            type => "haproxylog"                                      日志所属业务服务名称
        }
    }

    output{
        kafka{
        broker_list => "192.168.10.144:9092"    kafka服务地址
        topic_id => "logstash-haproxylog"     标识消费端取日志的id
        }

    }
                    启动生产端日志收集服务
                nohup  /usr/local/logstash/bin/logstash –f /usr/local/logstash/conf/ logstash_shipper_haproxy.conf &

消费端服务器配置:

    tar zxvf logstash-1.4.2.tar.gz
    ln –s logstash-1.4.2 /usr/local/logstash
    vim /usr/local/logstash/consumer_conf/logstash_haproxylog_es.conf
    input{
        kafka{
            zk_connect => "192.168.10.144:2181"
            group_id  => ‘logstash-haproxylog‘
            topic_id  => ‘logstash-haproxylog‘
        }
    }

    output{
        elasticsearch{
        host => "192.168.10.145"
        port => "9300"
        index => "haproxy-5-13-%{+YYYY.MM.dd}"
        }
    }

启动消费端服务

    nohup /usr/local/logstash/bin/logstash –f /usr/local/logstash/consumer_conf/logstash_haproxylog_es.conf  &    

优化补充:

    1,es中建立不同业务的索引,需要做if判断,这里是在logstash消费端配置的
    如: 
    input{
        kafka{
            zk_connect => "192.168.35.130:2181"
            group_id => "g1.api.test.com"
            topic_id => ‘g1.api.test.com‘

        }
        kafka{
            zk_connect => "192.168.35.130:2181"
            group_id => "go.clientinner.test.com"
            topic_id => "go.clientinner.test.com"
        }
        kafka{
            zk_connect => "192.168.35.130:2181"
            group_id => "api7.mobile.test.com_app"
            topic_id => "api7.mobile.test.com_app"
        }

    }

    filter {

            ruby {
            init => "@kname = [‘time‘,‘uid‘,‘ip‘,‘uname‘,‘stime‘,‘etime‘,‘exec_time‘,‘url‘,‘ua‘,‘module‘,‘response_status‘,‘http_status‘,‘query_string‘]"
            code => "event.append(Hash[@kname.zip(event[‘message‘].split(‘|‘))])"
            }

            mutate {
            convert => ["exec_time", "float"]
            }
            geoip {
            database => "/data/application/logstash/patterns/GeoLiteCity.dat"
            source => "ip"
            fields => ["country_name","city_name"]
            }
            useragent {
            source => "ua"
            target => "useragent"
            }


        }

    output{

        if [type] == "go.clientinner.test.com"{
            elasticsearch{
            template => "/usr/local/logstash/conf/logstash.json"
            template_overwrite => true       #修改url 不分词的属性,
            host => "192.168.35.131"
            port => "9300"
            index => "go.clientinner.test.com-%{+YYYY.MM.dd}"
            }

        } else if [type] == "g1.api.test.com"{
            elasticsearch{
            template => "/usr/local/logstash/conf/logstash.json"
            template_overwrite => true
            host => "192.168.35.131"
            port => "9300"
            index => "g1.api.test.com-%{+YYYY.MM.dd}"
            }


        }else if [type] == "api7.mobile.test.com_app"{
            elasticsearch{
            template => "/usr/local/logstash/conf/logstash.json"
            template_overwrite => true
            host => "192.168.35.131"
            port => "9300"
            index => "api7.mobile.test.com_app-%{+YYYY.MM.dd}"
            }

        }

    }

2,logstash 往es存数据,每天建立时间索引,默认会用utc时间,是早上8点才建立,造成当前的日志数据存入昨天的索引中,需要做如下修改:

    修改logstash/lib/logstash/event.rb 可以解决这个问题

    第226行
    .withZone(org.joda.time.DateTimeZone::UTC)
    修改为

    .withZone(org.joda.time.DateTimeZone.getDefault())

5 安装kibana(192.168.10.145)

    logstash的最新版已经内置kibana,你也可以单独部署kibana。kibana3是纯粹JavaScript+html的客户端,所以可以部署到任意http服务器上。
    wget http://download.elasticsearch.org/kibana/kibana/kibana-latest.zip
    unzip kibana-latest.zip
    cp -r  kibana-latest /var/www/html
    可以修改config.js来配置elasticsearch的地址和索引。
    修改以下行。
    elasticsearch: "http://192.168.10.145:9200",

6,最终实现如下图:

7,日志系统维护:

    1,elsasticsearch 集群扩展
    这里主要说给新添加一下es新节点
    Es节点的elsasticsearch安装参考上面,
    添加新节点前,需要执行以下命令
    1) 先暂停集群的shard自动均衡:
    在主节点上
    curl -XPUT http://192.168.35.131:9200/_cluster/settings -d ‘{"transient" : {"cluster.routing.allocation.enable" : "none"}}‘
    关闭其它节点和主节点:如下:
    curl -XPOST http://192.168.35.132:9200/_cluster/nodes/_local/_shutdown
    curl -XPOST http://192.168.35.131:9200/_cluster/nodes/_local/_shutdown
    2) 启动主节点,和其它从节点,
    3) 添加新节点,启动和配置参考其它从节点
    2,kafka+zookeeper集群扩展:
    安装包:kafka_2.9.2-0.8.1.1.tgz   elasticsearch-1.4.1.tar.gz
    Kafka+zookeeper配置如下:

    Cat kafka/config/server.properties  主要配置
    broker.id=35125
    host.name=192.168.35.125
    advertised.host.name=192.168.35.125
    log.dirs=/data/kafka-logs
    zookeeper.connect=192.168.35.130:2181,192.168.35.124:2181,192.168.35.125:2181

    cat /etc/zookeeper/conf/zoo.cfg

    dataDir=/data/zookeeper    节点信息存放目录
    clientPort=2181
    # zookeeper cluster
    server.35130=G1-logs-kafka:2888:3888
    server.35124=bj03-bi-pro-tom01:2888:3888
    server.35125=bj03-bi-pro-tom02:2888:3888
        启动服务
    Chown zookeeper.zookeeper /data/zookeeper -R
    /etc/init.d/zookeeper-server init   第一次启动时需要初始化/data/zookeeper目录
    Echo “35130” > /data/zookeeper/myid
    Chown zookeeper.zookeeper /data/zookeeper -R
    /etc/init.d/zookeeper-server start  先启动zookeeper
    nohup ./bin/kafka-server-start.sh config/server.properties > /data/kafka-logs/kafka.log & 再启动kafka

8,kibana登录认证安装配置:

    应用说明:
        Nginx:  记录日志,做es的反向代理  
    Nodejs: 跑 kibana-authentication-proxy
    Kibana: 把原来kibana目录链接到kibana-authentication-proxy 下
    kibana-authentication-proxy:用户认证和代理请求es,

8.1,nginx安装配置 #wget http://nginx.org/download/nginx-1.2.9.tar.gz # yum -y install zlib zlib-devel openssl openssl--devel pcre pcre-devel #tar zxvf nginx-1.2.9.tar.gz # cd nginx-1.2.9 # ./configure --prefix=/usr/local/nginx #make && make install

    配置如下:
    #cat /usr/local/nginx/conf/nginx.conf

            user  web;
    worker_processes  4;

    error_log  logs/error.log  info;

    pid        logs/nginx.pid;

    events {
    worker_connections  1024;
    use epoll;
    }



    http {


    include       mime.types;
    default_type  application/octet-stream;

    log_format  main  ‘$remote_addr - $remote_user [$time_local] "$request" ‘
            ‘$status $body_bytes_sent "$http_referer" ‘
            ‘"$http_user_agent" "$http_x_forwarded_for"‘;

    access_log  logs/access.log  main;

    sendfile        on;
    #tcp_nopush     on;

    keepalive_timeout  65;
    upstream kianaca {
        server 192.168.35.131:9200 fail_timeout=30s;
        server 192.168.35.132:9200 fail_timeout=30s;
        server 192.168.35.125:9200 fail_timeout=30s;
        }

    server {
        listen       8080;
        server_name  192.168.35.131;


        location / {
        root   /var/www/html/kibana-proxy;
        index  index.html index.htm;
        proxy_next_upstream error timeout invalid_header http_500 http_503 http_404;  
        proxy_pass http://kianaca;  
        proxy_set_header Host lashou.log.com;  
        proxy_set_header X-Real-IP $remote_addr;  
        proxy_set_header X-Forwarded-For  $proxy_add_x_forwarded_for;
        }

        error_page   500 502 503 504  /50x.html;
        location = /50x.html {
        root   /var/www/html/kibana-proxy;
        }

    }

    }

        # /usr/local/nginx/sbin/nginx -t  
                #/usr/local/nginx/sbin/nginx   

8.2 安装kibana-authentication-proxy

    #cd /var/www/html/
    #git clone https://github.com/wangganyu188/kibana-authentication-proxy.git
    #mv kibana-authentication-proxy kibana-proxy
    # cd kibana-proxy
    #yum install npm
    #npm install express
    #git submodule init
    #npm install
    #node app.js
    配置 kibana-proxy/config.js

    可能有如下参数需要调整:

    es_host      #这里是nginx地址
    es_port      #nginx的8080
    listen_port      #node的监听端口, 9201
    listen_host  #node的绑定IP, 可以0.0.0.0
    cas_server_url  

8.3请求路径

    node(9201) <=> nginx(8080) <=> es(9200)

lagstash + elasticsearch + kibana 3 + kafka 日志管理系统部署 02

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原文地址:http://www.cnblogs.com/shantu/p/4589822.html

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