Elasticsearch基础

环境说明：

• 节点信息
  • node1: 192.168.10.221 (CentOS7)
  • node2: 192.168.10.222 (CentOS7)
  • node3: 192.168.10.223 (CentOS7)

安装前的准备

• 时间同步 # ntpdate time_server_ip
• 基于主机名的地址解析（即使用/etc/hosts，此处不推荐使用DNS域名解析系统） # cat /etc/hosts 192.168.10.221 node1 192.168.10.222 node2 192.168.10.223 node3 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 ::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
• 获取elasticsearch >> 传送门
  • 注：本系列实例中使用的ELK Stack组件均为XXX.5.5.3.rpm

安装elasticsearch

• 在各个els节点安装elasticsearch 注：elasticsearch本身至少需要2GB的RAM才能运行Elasticsearch # yum -y install java-1.8.0-openjdk.x86_64 #依赖于Java环境 # rpm -ivh elasticsearch-5.5.3.rpm # cp /etc/elasticsearch/elasticsearch.yml{,.bak} # mkdir -pv /els/{data,log} # chown -R elasticsearch:elasticsearch /els/{data,log}

配置elasticsearch

• 配置els集群 vim /etc/elasticsearch/elasticsearch.yml # ---------------------------------- Cluster ----------------------------------- # # Use a descriptive name for your cluster: # cluster.name: zhima #集群名称 # # ------------------------------------ Node ------------------------------------ # # Use a descriptive name for the node: # node.name: node1 #当前节点在集群中的唯一标识名 # # Add custom attributes to the node: # #node.attr.rack: r1 # # ----------------------------------- Paths ------------------------------------ # # Path to directory where to store the data (separate multiple locations by comma): # path.data: /els/data #节点数据存储路径 # # Path to log files: # path.logs: /els/log #节点日志存储路径 # ---------------------------------- Network ----------------------------------- # # Set the bind address to a specific IP (IPv4 or IPv6): # network.host: 192.168.10.221 #当前节点的IPv4/IPv6地址 # # Set a custom port for HTTP: # http.port: 9200 #服务端口，默认9200 # # For more information, consult the network module documentation. # # --------------------------------- Discovery ---------------------------------- # # Pass an initial list of hosts to perform discovery when new node is started: # The default list of hosts is ["127.0.0.1", "[::1]"] # discovery.zen.ping.unicast.hosts: ["node1","node2","node3"] #集群成员列表，应保持奇数个 # # Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1): # discovery.zen.minimum_master_nodes: 2 #选举的获胜条件，为避免“脑裂”，应为（N/2+1） # # For more information, consult the zen discovery module documentation.
• 启动elasticsearch # systemctl start elasticsearch.service

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elasticsearch的使用

• 集群构建状态检查

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• 获取集群成员关系 # curl -XGET 'http://192.168.10.221:9200/_cat/nodes' #获取集群成员关系 192.168.10.221 14 96 21 0.84 0.89 0.69 mdi - node1 #成员节点 192.168.10.223 12 48 0 0.00 0.01 0.05 mdi * node3 #星号表示主节点 192.168.10.222 11 48 0 0.04 0.03 0.05 mdi - node2 #成员节点
• 创建索引 # curl -XPUT 'http://192.168.10.221:9200/docker'
• 获取当前集群下的所有可用索引 # curl -XGET 'http://192.168.10.221:9200/_cat/indices?pretty' green open xiaomu QEwhn5gGQ2m3oEFjoAvKMA 5 1 0 0 1.5kb 810b green open docker FXWGiH6oSCyL6Int-W7boA 5 1 0 0 1.5kb 810b
• 健康性检查
  • 节点健康性检查

  # curl -XGET 'http://192.168.10.221:9200/_cat/health?pretty' 1516176817 16:13:37 zhima green 3 3 20 10 0 0 0 0 - 100.0%

  • 集群健康性检查

  

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