ES集群配置

末蓝、 2022-10-13 01:52 210阅读 0赞

ES集群步骤：

1，需要几个ES节点，安装几个ES服务，同一台机器设置对外暴露的Http端口和ES交互的TCP端口需要不一致

2，每个ES服务如下增加ES配置，有中文说明，可自行更改

# ======================== 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es的集群名称，默认是elasticsearch
    cluster.name: test_es
    #
    # ------------------------------------ Node ------------------------------------
    #
    # Use a descriptive name for the node:
    # 节点名称 
    node.name: node-2
    #
    # 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
    node.data: true
    
    #node.attr.rack: r1
    #
    # ----------------------------------- Paths ------------------------------------
    #
    # 设置索引数据的存储路径，默认是es根目录下的data文件夹
    #
    path.data: 自定义（最好是es目录下新建一个data）
    #
    # 设置日志文件路劲
    #
    path.logs: 自定义（最好是es目录下新建一个log）
    #
    # ----------------------------------- Memory -----------------------------------
    #
    # Lock the memory on startup:
    #
    bootstrap.memory_lock: false
    # 是否锁住内存 
    bootstrap.system_call_filter: 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 -----------------------------------
    #
    # 绑定ip
    #
    network.host: 机器ip
    #
    # Set a custom port for HTTP:
    # 设置对外服务的http端口
    #
    http.port: 对外暴漏的端口
    
    # 设置节点间交互的tcp端口 和 http端口不能一致
    transport.tcp.port: 自定义
    # 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]"]
    # 设置集群中master节点的初始列表，可以通过这些节点来自动发现新加入集群的节点
    #
    discovery.zen.ping.unicast.hosts: [根据实际情况添加格式 "ip:对外暴漏的端口","ip:对外暴漏的端口"]
    discovery.zen.ping_timeout: 3s
    #
    # 设置这个参数来保证集群中的节点可以知道其它N个有master资格的节点
    discovery.zen.minimum_master_nodes: 2
    
    #
    # 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

3，启动每个ES的节点后，访问其中一台es服务，带 **\*** 号的是es选举的主节点

[http://ip:http端口/\_cat/nodes?pretty][http_ip_http_cat_nodes_pretty]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM2MjA0NzY0_size_16_color_FFFFFF_t_70][]

4，至此，ES集群搭建完成，如果需要将MYSQL的数据同步到ES中，可以通过小编之前写的通过Logstash以配置文件的形式将mysql数据同步到es中；注: es集群一旦搭建好，只要将mysql的数据同步到其中一个节点，es其他节点会根据副本容错机制，将mysql灌入的es节点数据自动同步到其他节点上。

[http_ip_http_cat_nodes_pretty]: http://172.21.72.168:9230/_cat/nodes?pretty
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM2MjA0NzY0_size_16_color_FFFFFF_t_70]: /images/20221005/35dd652578e84f8aa39aefc77d26bf78.png