Elasticsearch——集群搭建

1.准备

1.1.组件

  JDK:1.8版本及以上;

  ElasticSearch:6.2.4版本;

1.2.服务器

  3台服务器

2.安装

2.1.下载解压

mkdir /opt/elk/elasticsearch-6.2.4
tar zxvf elasticsearch-6.2.4.tar.gz  -C /opt/elk/elasticsearch-6.2.4

  

2.2.配置

cd /opt/elk/elasticsearch-6.2.4/config
vi elasticsearch.yml

标红的需要我们重点关注的,也是平常修改最多的参数:

# ======================== 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:
#
cluster.name: log-es-cluster  #集群名称
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-100  #节点名称
node.master: true    #是否master
node.data: true     #是否数据节点
#
# 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: /path/to/data
#
# Path to log files:
#
#path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
bootstrap.memory_lock: false  #默认为true,值改为false
#
# 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):
#
network.host: 10.0.101.100  #本机服务器IP
#
# Set a custom port for HTTP:
#
http.port: 9200  #端口
#
# 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: ["10.0.101.100", "10.0.101.101", "10.0.101.102"]  #集群服务器IP
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
discovery.zen.minimum_master_nodes: 3  #集群节点数
#
# 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
#增加以下属性,3台服务器一样
bootstrap.system_call_filter: false
transport.tcp.port: 9300
transport.tcp.compress: true
http.cors.enabled: true
http.cors.allow-origin: "*"

2.3.同步

将安装配置好的组件包,用以下命令同步到另外2台服务器:

scp -r /opt/elk/elasticsearch-6.2.4/ root@172.16.10.92:/opt/elk/elasticsearch-6.2.4/
scp -r /opt/elk/elasticsearch-6.2.4/ [email protected]:/opt/elk/elasticsearch-6.2.4/

在另外2台服务器上修改elasticsearch.yml文件的以下2个属性值,其它的3台服务器一样:

node.name: node-101   
network.host: 10.0.101.101

2.4.启动

cd /opt/elk/elasticsearch-6.2.4/bin
./elasticsearch
  • 第1台启动成功,没有报错,提示以下信息属于正常现像,因为另外2台服务器还没有启动:

 

  • 第2台启动成功,情况跟第1台一样:

 

  • 第3台启动成功

3.验证

  • 在其中一台服务器上,输入以下命令,IP要改成相应环境的:
curl '10.0.101.100:9200/_cluster/health?pretty'

  •  输入以下命令,检查master节点是否成功创建:
curl '10.0.101.100:9200/_cat/master?v'

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转载自www.cnblogs.com/caoweixiong/p/11826295.html