生产环境elasticsearch5.0.1集群的部署配置详解

线上环境elasticsearch5.0.1集群的配置部署

es集群的规划：
硬件：
7台8核、64G内存、2T ssd硬盘加1台8核16G的阿里云服务器

其中一台作为kibana+kafka连接查询的服务器
其他6台都作为node和master两种角色

操作系统：centos7.2 x86_64
为方便磁盘扩容建议将磁盘进行lvm逻辑卷配置，可以参考：
aliyun添加数据盘后的物理分区和lvm逻辑卷两种挂载方式
http://blog.csdn.net/reblue520/article/details/54174178

1.安装jdk1.8和elasticsearch5.0.1

rpm -ivh jdk-8u111-linux-x64.rpm
tar -zxvf elasticsearch-5.0.1.tar.gz

2.添加yunva这个运行elasticsearch的用户(es必须使用非root用户启动)

useradd yunva -d /home/yunva
echo 'pass'|passwd --stdin yunva

chown -R yunva.yunva /data

修改默认端口
sed -i 's/#Port 22/Port 2222/' /etc/ssh/sshd_config
sed -i 's/^GSSAPIAuthentication yes$/GSSAPIAuthentication no/' /etc/ssh/sshd_config
service sshd restart

3.针对es做的一些系统的优化配置

swapoff -a

echo "fs.file-max = 1000000" >> /etc/sysctl.conf
echo "vm.max_map_count=262144" >> /etc/sysctl.conf
echo "vm.swappiness = 1" >> /etc/sysctl.conf

sysctl -p
sed -i 's/* soft nofile 65535/* soft nofile 655350/g' /etc/security/limits.conf
sed -i 's/* hard nofile 65535/* hard nofile 655350/g' /etc/security/limits.conf


将java_home加入环境变量
cat >> /etc/profile <<EOF
export JAVA_HOME=/usr/java/jdk1.8.0_111 
export PATH=\$JAVA_HOME/bin:\$PATH
EOF

source /etc/profile

4.es内存调整配置文件(建议配置为物理内存的一半或者更多最好不要超过32G，超过了也可能不会增强性能)：

/data/elasticsearch-5.0.1/config/jvm.options

sed -i 's/-Xms2g/-Xms32g/' /data/elasticsearch-5.0.1/config/jvm.options
sed -i 's/-Xmx2g/-Xmx32g/' /data/elasticsearch-5.0.1/config/jvm.options
echo "-Xss256k" >>/data/elasticsearch-5.0.1/config/jvm.options

sed -i 's/-XX:+UseConcMarkSweepGC/-XX:+UseG1GC/' /data/elasticsearch-5.0.1/config/jvm.options

5.集群的主要配置文件

修改elasticsearch的参数
vim /etc/elasticsearch/elasticsearch.yml(rpm安装方式的配置文件位置)
vim  /data/elasticsearch-5.0.1/config/elasticsearch.yml

es master节点的配置：
# 节点名
cluster.name: yunva-es
# 集群的名称，可以不写
discovery.zen.ping.unicast.hosts: ["node-1","yunva_etl_es2", "yunva_etl_es3","yunva_etl_es4","yunva_etl_es5","yunva_etl_es6","yunva_etl_es7"]
node.name: yunva_etl_es6
node.master: true
node.data: true
path.data: /data/es/data
path.logs: /data/es/logs
action.auto_create_index: false
indices.fielddata.cache.size: 12g
bootstrap.memory_lock: false
# 内网地址，可以加快速度
network.host: 192.168.1.10
http.port: 9200
# 增加新的参数head插件可以访问es
http.cors.enabled: true
http.cors.allow-origin: "*"

gateway.recover_after_time: 8m
gateway.expected_nodes: 3

cluster.routing.allocation.node_initial_primaries_recoveries: 8

# 以下配置可以减少当es节点短时间宕机或重启时shards重新分布带来的磁盘io读写浪费
discovery.zen.fd.ping_timeout: 180s
discovery.zen.fd.ping_retries: 8
discovery.zen.fd.ping_interval: 30s
discovery.zen.ping_timeout: 120s

针对kibana的es配置(非node和master节点)
# cat /etc/elasticsearch/elasticsearch.yml
cluster.name: yunva-es
node.name: yunva_etl_es1
node.master: false
node.data: false
node.ingest: false

action.auto_create_index: false
path.data: /data/es/data
path.logs: /data/es/logs
bootstrap.memory_lock: false
network.host: 0.0.0.0
http.port: 9200

http.cors.enabled: true

http.cors.allow-origin: "*"

# 以下配置可以减少当es节点短时间宕机或重启时shards重新分布带来的磁盘io读写浪费
discovery.zen.fd.ping_timeout: 180s
discovery.zen.fd.ping_retries: 8
discovery.zen.fd.ping_interval: 30s
discovery.zen.ping_timeout: 120s

注意修改配置文件vim /etc/hosts 列出集群节点名称和对应ip地址的对应关系(有内网dns并且配置的就不需要再次配置了)

echo "10.28.50.131 node-1" >> /etc/hosts
echo "10.26.241.239 yunva_etl_es3" >> /etc/hosts
echo "10.25.135.215 yunva_etl_es2" >> /etc/hosts
echo "10.26.241.237 yunva_etl_es4" >> /etc/hosts
echo "10.27.78.228 yunva_etl_es5" >> /etc/hosts
echo "10.27.65.121 yunva_etl_es6" >> /etc/hosts
echo "10.27.35.94 yunva_etl_es7" >> /etc/hosts

6.创建日志和数据存放目录

mkdir -p /data/es/data
mkdir /data/es/logs
chown -R yunva.yunva /data

7.启动es服务：

# su - yunva
[yunva]$ cd /data/elasticsearch-5.0.1/bin/
./elasticsearch &

8.检查单台服务是否正常：

$ curl http://ip:9200/
{
  "name" : "yunva_etl_es5",
  "cluster_name" : "yunva-es",
  "cluster_uuid" : "2shAg8u3SjCRNJ4mEUBzBQ",
  "version" : {
    "number" : "5.0.1",
    "build_hash" : "080bb47",
    "build_date" : "2016-11-11T22:08:49.812Z",
    "build_snapshot" : false,
    "lucene_version" : "6.2.1"
  },
  "tagline" : "You Know, for Search"
}


# 查看集群状态
$ curl http://ip:9200/_cluster/health/?pretty
{
  "cluster_name" : "yunva-es",
  "status" : "green",
  "timed_out" : false,
  "number_of_nodes" : 5,
  "number_of_data_nodes" : 4,
  "active_primary_shards" : 66,
  "active_shards" : 132,
  "relocating_shards" : 2,
  "initializing_shards" : 0,
  "unassigned_shards" : 0,
  "delayed_unassigned_shards" : 0,
  "number_of_pending_tasks" : 0,
  "number_of_in_flight_fetch" : 0,
  "task_max_waiting_in_queue_millis" : 0,
  "active_shards_percent_as_number" : 100.0
}


然后将配置好的es程序拷贝到其他服务器中，注意修改以下内容(network.host为内网地址，速度更快，节省互相复制、分片的时候处理带宽)：
1.elasticsearch.yml文件的配置修改
node.name: 节点名称
network.host: es节点的内网IP地址
2./etc/hosts文件中内网ip和node.name的对应关系

后续添加对集群服务的监控，可以参考：

 zabbix通过简单shell命令监控elasticsearch集群状态
http://blog.csdn.net/reblue520/article/details/54412388

kibana.yml

server.port: 9529server.host: "192.168.1.2"elasticsearch.url: "http://192.168.1.1:9200"elasticsearch.pingTimeout: 600000elasticsearch.requestTimeout: 18000000

nginx.conf

user nginx;worker_processes auto;error_log /var/log/nginx/error.log;pid /run/nginx.pid;include /usr/share/nginx/modules/*.conf;events {    worker_connections 1024;}http {    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  /var/log/nginx/access.log  main;    sendfile            on;    tcp_nopush          on;    tcp_nodelay         on;    keepalive_timeout   65;    types_hash_max_size 2048;    include             /etc/nginx/mime.types;    default_type        application/octet-stream;    include /etc/nginx/conf.d/*.conf;    server {        listen       80 default_server;        listen       [::]:80 default_server;        server_name  _;        root         /usr/share/nginx/html;        include /etc/nginx/default.d/*.conf;        location / {        }        error_page 404 /404.html;            location = /40x.html {        }        error_page 500 502 503 504 /50x.html;            location = /50x.html {        }    }}

es.conf

server {    listen       80;    server_name 1.1.1.1;    location / {       auth_basic "secret";       auth_basic_user_file /data/nginx/db/passwd.db;       proxy_pass http://192.168.1.2:9200;     proxy_set_header Host $host:9200;       proxy_set_header X-Real-IP $remote_addr;       proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;       proxy_set_header Via "nginx";    }    access_log off;}