elasticsearch实现冷热数据分离_es没有冷热数据分离-优快云博客

本文以最新的elasticsearch-6.3.0.tar.gz为例,为了节约资源,本文将副本调为0, 无client角色

https://www.elastic.co/blog/hot-warm-architecture-in-elasticsearch-5-x

以前es2.x版本配置elasticsearch.yml 里的node.tag: hot这个配置不生效了

被改成了这个
node.attr.box_type: hot

es架构

各节点的es配置

master节点:
[root@n1 ~]# cat /usr/local/elasticsearch/config/elasticsearch.yml 
cluster.name: elk
node.master: true
node.data: false
node.name: 192.168.2.11
#node.attr.box_type: hot
#node.tag: hot
path.data: /data/es 
path.logs: /data/log
network.host: 192.168.2.11
http.port: 9200
transport.tcp.port: 9300
transport.tcp.compress: true
discovery.zen.ping.unicast.hosts: ["192.168.2.11"]
cluster.routing.allocation.disk.watermark.low: 85%
cluster.routing.allocation.disk.watermark.high: 90%
indices.fielddata.cache.size: 10%
indices.breaker.fielddata.limit: 30%
http.cors.enabled: true
http.cors.allow-origin: "*"

- client节点(这里就不配置了)

node.master: false
node.data: false

- hot节点
[root@n2 ~]# cat /usr/local/elasticsearch/config/elasticsearch.yml 
cluster.name: elk
node.master: false
node.data: true
node.name: 192.168.2.12
node.attr.box_type: hot
path.data: /data/es
network.host: 192.168.2.12
http.port: 9200
transport.tcp.port: 9300
transport.tcp.compress: true
discovery.zen.ping.unicast.hosts: ["192.168.2.11"]
cluster.routing.allocation.disk.watermark.low: 85%
cluster.routing.allocation.disk.watermark.high: 90%
indices.fielddata.cache.size: 10%
indices.breaker.fielddata.limit: 30%
http.cors.enabled: true
http.cors.allow-origin: "*"

- cold节点
[root@n3 ~]# cat /usr/local/elasticsearch/config/elasticsearch.yml 
cluster.name: elk
node.master: false
node.data: true
node.name: 192.168.2.13
node.attr.box_type: cold
path.data: /data/es
network.host: 192.168.2.13
http.port: 9200
transport.tcp.port: 9300
transport.tcp.compress: true
discovery.zen.ping.unicast.hosts: ["192.168.2.11"]
cluster.routing.allocation.disk.watermark.low: 85%
cluster.routing.allocation.disk.watermark.high: 90%
indices.fielddata.cache.size: 10%
indices.breaker.fielddata.limit: 30%
http.cors.enabled: true
http.cors.allow-origin: "*"

如何实现某索引数据写到指定的node?(根据节点tag即可)

我hot节点打了tag

node.attr.box_type: cold

创建一个template(这里我用kibana来操作es的api)

PUT _template/test
{
    "index_patterns": "test-*",
    "settings": {
        "index.number_of_replicas": "0",
        "index.routing.allocation.require.box_type": "hot"
     }
}

意思是test-*索引命名的,都将其数据放到hot节点上.

如何实现数据从hot节点迁移到老的cold节点?

以test-2018.07.05索引为例,将它从hot节点迁移到cold节点

kibana里操作:

PUT /test-2018.07.05/_settings 
{ 
  "settings": { 
    "index.routing.allocation.require.box_type": "cold"
  } 
}

生产中可能每天,或每h,生成一个index.

test-2018.07.01
test-2018.07.02
test-2018.07.03
test-2018.07.04
test-2018.07.05
...

我可以写一个sh定时任务,每天晚上定时迁移数据.
如我在hot节点只保留7天的数据,7天以前的索引我匹配到, 每天晚上执行以下迁移命令即可.

cold节点数据保留1个月?

https://www.cnblogs.com/iiiiher/p/8029062.html

优化点:

1.为了提高吞吐量

path.data:/data1,/data2,/data3,/data4,/data5 可以每个目录挂一块盘

2.如果有10台hot节点,可以设置10个shards

logstash测试

input { stdin { } }
output {
    elasticsearch { 
        index => "test-%{+YYYY.MM.dd}"
        hosts => ["192.168.2.11:9200"] 
    }
    stdout {codec => rubydebug}
}

/usr/local/logstash/bin/logstash -f logstash.yaml --config.reload.automatic