ElasticSearch 6.5.1 集群搭建以及 ElasticSearch-Head 插件安装使用
ElasticSearch 集群搭建
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elasticsearch 官网下载对应的版本，这里我们使用的是 6.5.1 版本。
注意：elasticsearch 要依赖 Jdk1.8.x
检查服务器 Java 环境
java -version解压到对应的位置
tar -zxvf elasticsearch-6.5.1.tar.gz -
配置 elasticsearch.yml 文件
cd elasticsearch-6.5.1/config vi elasticsearch.yml# ======================== Elasticsearch Configuration ========================= # # NOTE: Elasticsearch comes with reasonable defaults for most settings. # Before you set out to tweak and tune the configuration, make sure you # understand what are you trying to accomplish and the consequences. # # The primary way of configuring a node is via this file. This template lists # the most important settings you may want to configure for a production cluster. # # Please consult the documentation for further information on configuration options: # https://www.elastic.co/guide/en/elasticsearch/reference/index.html # # ---------------------------------- Cluster ----------------------------------- # # Use a descriptive name for your cluster: #配置的集群名称，默认是elasticsearch，es服务会通过广播方式自动连接在同一网段下的es服务，通过多播方式进行通信，同一网段下可以有多个集群，通过集群名称这个属性来区分不同的集群。 cluster.name: elasticsearch-cluster # # ------------------------------------ Node ------------------------------------ # # Use a descriptive name for the node: # #当前配置所在机器的节点名，你不设置就默认随机指定一个name列表中名字，该name列表在es的jar包中config文件夹里name.txt文件中，其中有很多作者添加的有趣名字。当创建ES集群时，保证同一集群中的cluster.name名称是相同的，node.name节点名称是不同的； # node.name: node-master #指定该节点是否有资格被选举成为node（注意这里只是设置成有资格， 不代表该node一定就是master），默认是true，es是默认集群中的第一台机器为master，如果这台机挂了就会重新选举master。 node.master: true #是否是数据节点 默认情况下任何一个集群中的节点都有可能被选为主节点。索引数据和搜索查询等操作会占用大量的cpu，内存，io资源，为了确保一个集群的稳定，分离主节点和数据节点是一个比较好的选择。虽然主节点也可以协调节点，路由搜索和从客户端新增数据到数据节点，但最好不要使用这些专用的主节点。一个重要的原则是，尽可能做尽量少的工作 node.data: false # # Add custom attributes to the node: # #node.attr.rack: r1 # # ----------------------------------- Paths ------------------------------------ # # Path to directory where to store the data (separate multiple locations by comma): #数据存放路径 path.data: /path/to/data # # Path to log files: #日志文件存放路径 path.logs: /path/to/logs # # ----------------------------------- Memory ----------------------------------- # # Lock the memory on startup: # #bootstrap.memory_lock: true # # Make sure that the heap size is set to about half the memory available # on the system and that the owner of the process is allowed to use this # limit. # # Elasticsearch performs poorly when the system is swapping the memory. # # ---------------------------------- Network ----------------------------------- # # Set the bind address to a specific IP (IPv4 or IPv6): #本机地址 network.host: 192.168.0.240 # # Set a custom port for HTTP: #http端口 http.port: 9200 #tcp 通讯端口配置多节点的话使用9331,9332,9333.... transport.tcp.port: 9331 #开启跨域访问支持，默认为false http.cors.enabled: true #跨域访问允许的域名地址，(允许所有域名)以上使用正则 http.cors.allow-origin: /.*/ # # For more information, consult the network mofangfadule 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]"] #集群信息，默认的通讯端口是9300 discovery.zen.ping.unicast.hosts: ["192.168.0.240:9331","192.168.0.241:9332","192.168.0.242:9333","192.168.0.244:9334"] # # Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1): # #discovery.zen.minimum_master_nodes: # # For more information, consult the zen discovery module documentation. # # ---------------------------------- Gateway ----------------------------------- # # Block initial recovery after a full cluster restart until N nodes are started: # #gateway.recover_after_nodes: 3 # # For more information, consult the gateway module documentation. # # ---------------------------------- Various ----------------------------------- # # Require explicit names when deleting indices: # #action.destructive_requires_name: true -
在其他服务器安装配置 elasticsearch6.5.1
重复上述方法
# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
# Before you set out to tweak and tune the configuration, make sure you
# understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#配置的集群名称，默认是elasticsearch，es服务会通过广播方式自动连接在同一网段下的es服务，通过多播方式进行通信，同一网段下可以有多个集群，通过集群名称这个属性来区分不同的集群。
cluster.name: elasticsearch-cluster
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
#当前配置所在机器的节点名，你不设置就默认随机指定一个name列表中名字，该name列表在es的jar包中config文件夹里name.txt文件中，其中有很多作者添加的有趣名字。当创建ES集群时，保证同一集群中的cluster.name名称是相同的，node.name节点名称是不同的；
#
node.name: node-data1
#指定该节点是否有资格被选举成为node（注意这里只是设置成有资格， 不代表该node一定就是master），默认是true，es是默认集群中的第一台机器为master，如果这台机挂了就会重新选举master。
node.master: false
#是否是数据节点 默认情况下任何一个集群中的节点都有可能被选为主节点。索引数据和搜索查询等操作会占用大量的cpu，内存，io资源，为了确保一个集群的稳定，分离主节点和数据节点是一个比较好的选择。虽然主节点也可以协调节点，路由搜索和从客户端新增数据到数据节点，但最好不要使用这些专用的主节点。一个重要的原则是，尽可能做尽量少的工作
node.data: true
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#数据存放路径
path.data: /path/to/data
#
# Path to log files:
#日志文件存放路径
path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#本机地址
network.host: 192.168.0.241
#
# Set a custom port for HTTP:
#http端口
http.port: 9200
#tcp 通讯端口配置多节点的话使用9331,9332,9333....
transport.tcp.port: 9332
#开启跨域访问支持，默认为false
http.cors.enabled: true
#跨域访问允许的域名地址，(允许所有域名)以上使用正则
http.cors.allow-origin: /.*/
#
# For more information, consult the network mofangfadule 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]"]
#集群信息，默认的通讯端口是9300
discovery.zen.ping.unicast.hosts: ["192.168.0.240:9331","192.168.0.241:9332","192.168.0.242:9333","192.168.0.244:9334"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
#discovery.zen.minimum_master_nodes:
#
# For more information, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true
4.启动 elasticsearch 集群
由于 elasticsearch 不能由 root 用户启动所以我们要添加用户
新建用户组
groupadd elasticsearch
给elasticsearch用户组添加es用户
useradd -g elasticsearch es
这里要注意文件的权限问题
启动并查看日志
./bin/elasticsearch -d ;tail -f /logspath/elasticsearch-cluster.log
另外的都是依次启动就行了。。。。
ElasticSearch-Head 插件安装
github 项目地址可以看看
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首先检查服务器是否安装 node 环境
node -v npm -v -
安装
cd elasticsearch-head #淘宝镜像 npm install -g grunt --registry=https://registry.npm.taobao.org npm install npm run start #后台运行 #nohup npm run start & -
测试连接是否成功
浏览器打开
curl -X GET http://localhost:9100/
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