前期準備
ELK官網：https://www.elastic.co/， 軟件包下載和完善的文檔資料。
Zookeeper官網：https://zookeeper.apache.org/
Kafka官網：http://kafka.apache.org/documentation.html，軟件包下載和完善的文檔資料。
Flume官網：https://flume.apache.org/
Heka官網：https://hekad.readthedocs.io/en/v0.10.0/
系統是centos6.6，64位機器。
所用軟件版本：
Logstash：2.3.3
JDK:1.8.0_25
Elasticsearch:2.3.4
Kibana:4.5.2
Heka:0.10.0
Flume:1.7.0
Zookeeper:3.4.8
Kafka:0.8.2.2
Nginx:1.7.6
Kafka-manager:1.3.1.6
整體架構圖
安裝步驟
零．安裝JDK
一．安裝Zookeeper集羣
二．安裝Kafka集羣
三．安裝Elasticsearch集羣
四．安裝Flume
五．業務機器安裝Heka
六．使用Logstash對接Kafka和Elasticsearch集羣
七．安裝Kibana
八．安裝Nginx反向代理
九．安裝kafka-manager
零．安裝JDK
所有相關機器安裝JDK，配置PATH, CLASS_PATH, JAVA_HOME
一．安裝Zookeeper集羣
準備
Hostname和IP的對應關係
192.168.0.51 data1
192.168.0.49 data2
192.168.0.72 data3
同時需要配置/etc/hosts文件，添加以上記錄
安裝
官網下載安裝包，解壓到/usr/local/public/，配置，啓動【其他服務類似，後續只做配置啓動說明】
wget http://apache.fayea.com/zookeeper/zookeeper-3.4.8/zookeeper-3.4.8.tar.gz
cd /usr/local/public/
tar -zxvf zookeeper-3.4.8.tar.gz
ln -s zookeeper-3.4.8 zookeeper
配置文件
cd conf/
cp zoo_samle.cfg zoo.cfg
zoo.cfg的內容
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/zookeeper
clientPort=2181
server.1=data1:2888:3888
server.2=data2:2888:3888
server.3=data3:2888:3888
創建集羣標誌文件myid，內容爲配置文件中server.後面的數字。
echo “1” > /usr/local/public/zookeeper/data/myid
另外2臺機器的配置一模一樣，除了myid文件的內容是2或者3以外。
啓動集羣
3臺服務器依次執行：bin/zkServer.sh start
測試
bin/zkServer.sh status 查看當前server屬於leader還是follower。
bin/zkCli.sh -server GZHL-192-168-0-51.boyaa.com:2181 連接某一臺Zookeeper Server。
二．安裝Kafka集羣
安裝
類似zookeeper，官網下載安裝包，解壓。
配置文件config/server.properties
broker.id=1
log.dirs=/disk1/bigdata/kafka
zookeeper.connect=192.168.0.51:2181,192.168.0.49:2181,192.168.0.72:2181/kafka
另外2臺機器的配置一模一樣，除了broker.id文件的值是2或者3以外。
啓動集羣
3臺服務器依次執行:nohup bin/kafka-server-start.sh config/server.properties 2>&1 >> /dev/null &
測試
bin/kafka-topics.sh --create --zookeeper GZHL-192-168-0-51.boyaa.com:2181,GZHL-192-168-0-49.boyaa.com:2181,GZHL-192-168-2-147.boyaa.com:2181/kafka --topic test //創建一個topic
三．安裝ElasticSearch集羣
安裝
類似zookeeper，官網下載安裝包，解壓。
配置文件config/elasticsearch.yml
cluster.name: dfqp-application
node.name: node-2
path.data: /disk1/es/,/disk2/es/,/disk3/es/,/disk4/es/,/disk5/es/,/disk6/es/,/disk7/es/,/disk8/es/,/disk9/es/,/disk10/es/,/disk11/es/,/disk12/es/
path.logs: /data/other/es/logs
network.host: 192.168.0.150
discovery.zen.ping.unicast.hosts: ["192.168.0.149", "192.168.0.150"]
2臺機器的配置一模一樣，除了node.name和network.host的值
啓動集羣
bin/elasticsearch -d
測試
curl http://192.168.0.149:9200
curl http://192.168.0.150:9200
返回以下數據表示ES集羣正常
{
"name" : "node-2",
"cluster_name" : "dfqp-application",
"version" : {
"number" : "2.3.4",
"build_hash" : "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",
"build_timestamp" : "2016-06-30T11:24:31Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
四．安裝Flume
安裝
類似zookeeper，官網下載安裝包，解壓。
配置文件conf/lremote.properties
agent_remote.sources = s1
agent_remote.sinks = k1
agent_remote.channels = c1
agent_remote.sources.s1.type = thrift
agent_remote.sources.s1.bind = 192.168.0.49
agent_remote.sources.s1.port = 6666
agent_remote.sources.s1.channels = c1
agent_remote.sources.s1.threads = 20
agent_remote.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
agent_remote.sinks.k1.topic = dfqp_server_log_from_heka
agent_remote.sinks.k1.brokerList = 192.168.0.51:9092,192.168.0.49:9092,192.168.0.72:9092
agent_remote.sinks.k1.requiredAcks = 0
agent_remote.sinks.k1.batchSize = 2000
agent_remote.sinks.k1.channel = c1
agent_remote.sinks.k1.kafka.request.timeout.ms = 6000
agent_remote.sinks.k1.kafka.request.timeout.ms = 6000
agent_remote.sources.s1.interceptors = i2
agent_remote.sources.s1.interceptors.i2.type=org.apache.flume.sink.solr.morphline.UUIDInterceptor$Builder
agent_remote.sources.s1.interceptors.i2.headerName=key
agent_remote.sources.s1.interceptors.i2.preserveExisting=false
agent_remote.channels.c1.type = file
agent_remote.channels.c1.capacity = 100000000
agent_remote.channels.c1.dataDirs = /usr/local/public/flume/.flume_remote/c1/data_dir/
agent_remote.channels.c1.checkpointDir = /usr/local/public/flume/.flume_remote/c1/checkpoint_dir/
啓動flume
nohup bin/flume-ng agent -n agent_remote -c conf/ -f conf/remote.properties -Dflume.log.file=flume_remote.log &
五．業務機器安裝Heka
安裝
官網下載源碼，編寫heka輸出插件flume
配置文件conf/log2flume.toml
[hekad]
maxprocs = 1
base_dir = "./base_dir"
log_info_filename = "logs/info.log"
log_error_filename = "logs/error.log"
log_file_max_size = 64
log_file_max_backups = 7
[LogstreamerInput]
log_directory = "/data/"
journal_directory = "./base_dir"
file_match = '(?P<dir1>[^/]*)/?(?P<dir2>[^/]*)/?(?P<dir3>[^/]*)/?(?P<dir4>[^/]*)/?(?P<dir5>[^/]*)/?(?P<dir6>[^/]*)/?(?P<dir7>[^/]*)/?(?P<file_name>.*)\.log\.?(?P<Seq>\d*)'
priority = ["^Seq"]
rescan_interval = "30s"
oldest_duration = "1h"
differentiator = ["dfqp-", "dir1", "-", "dir2", "-", "dir3", "-", "dir4", "-", "dir5", "-", "dir6", "-", "dir7", "-", "file_name", ".log"]
[paycenter_sqls_output]
type = "FlumeOutput"
message_matcher = "TRUE"
address = "192.168.0.49:6666"
encoder = "PayloadEncoder"
batch_size = 2000
use_buffering = false
[PayloadEncoder]
append_newlines = false
啓動hekad
./hekad -config conf/log2flume.toml
六．使用Logstash對接Kafka和Elasticsearch集羣
安裝
類似zookeeper，官網下載安裝包，解壓。
配置文件etc/kafka_2_es.conf
input {
kafka {
topic_id => "my_kafka_topic"
group_id => "my_kafka_topic_group"
consumer_threads => 4
zk_connect => "data1:2181,data2:2181,data3:2181/kafka"
codec => "plain"
}
}
output {
elasticsearch {
index => "server-log-%{+YYYY.MM.dd}"
hosts => ["192.168.0.149", "192.168.0.150"]
}
}
2臺機器的配置一模一樣。
啓動Logstash
nohup bin/logstash -l logs/logstash${i}.log -f etc/kafka_2_es.conf > /dev/null &
其中${i}分別爲1,2,3,4,5,6，也就是一臺機器啓動6個logstash進程。
七．安裝kibana
安裝
類似zookeeper，官網下載安裝包，解壓。
配置文件config/kibana.yml
elasticsearch.url: "http://192.168.0.149:9200"
啓動Logstash
nohup ./bin/kibana > /dev/null &
八．安裝Nginx反向代理
配置文件/usr/local/nginx-1.7.6/conf/vhosts/vhost.conf
server
{
listen 80;
server_name log.oa.com;
location / {
proxy_pass http://192.168.0.149:5601$request_uri;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
location ~ .*\.(gif|jpg|jpeg|png|bmp|swf|data|js|css|html|htm)$
{
expires 365d;
}
access_log /data/other/nginx_logs/${host}_${server_port}_access.log main;
}
九. 安裝kafka-manager
git clone https://github.com/yahoo/kafka-manager
cd kafka-manager
./sbt clean dist
會生成一個zip包，解壓後得到kafka-manager,打開配置文件conf/application.conf, 修改zk地址。
啓動：nohup bin/kafka-manager -Dconfig.file=conf/application.conf >/dev/null 2>&1 &
訪問：http://192.168.0.51:9000