elasticsearch集群管理文档

参考资料

• https://blog.csdn.net/chenleiking/article/details/79453460
• https://github.com/pires/kubernetes-elasticsearch-cluster

文件清单

• elasticsearch-master.yaml
• elasticsearch-discovery.yaml
• elasticsearch-data.yaml
• elasticsearch-svc.yaml

重要的环境变量

各文件介绍

1. elasticsearch-master

定义的是elastic的master节点，只负责集群的管理，不包含查询和存储数据

2. elasticsearch-discovery

该文件只是为了创建一个服务，使其elastic可以互相通过9300端口互相发现

3. elasticsearch-data

负责数据的查询和存储

4. elasticsearch-svc

负责向外提供elastic服务，如果有多个elasticsearch-data副本，即为负载均衡入口

使用

1. 快速创建一个master、2个data节点的集群

kubectl create -f elasticsearch-master.yaml
kubectl create -f elasticsearch-discovery.yaml
kubectl create -f elasticsearch-data.yaml
kubectl create -f elasticsearch-svc.yaml

2. 查看pods

kubectl get pods
NAME                                    READY     STATUS    RESTARTS   AGE
elasticsearch-data-5fd4fdd6df-77xnk     1/1       Running   0          19s
elasticsearch-data-5fd4fdd6df-fd8l8     1/1       Running   0          19s
elasticsearch-master-6df9f65bbf-b8ktw   1/1       Running   0          19s

3. 查看集群状态

curl  10.96.50.52:9200/_cluster/health?pretty
{
  "cluster_name" : "es_cluster",
  "status" : "green",
  "timed_out" : false,
  "number_of_nodes" : 3,
  "number_of_data_nodes" : 2,
...}

我们可以看到总节点数是3，data_nodes是2。(因为另一个节点是master)

4. 集群扩容

• 伸缩data节点

kubectl scale --replicas=5 deploy/elasticsearch-data
kubectl get pods
结果:
NAME                                    READY     STATUS    RESTARTS   AGE
elasticsearch-data-5fd4fdd6df-77xnk     1/1       Running   0          14m
elasticsearch-data-5fd4fdd6df-9htr6     1/1       Running   0          5m
elasticsearch-data-5fd4fdd6df-fd8l8     1/1       Running   0          14m
elasticsearch-data-5fd4fdd6df-gj9rt     1/1       Running   0          5m
elasticsearch-data-5fd4fdd6df-jhsts     1/1       Running   0          5m
elasticsearch-master-6df9f65bbf-b8ktw   1/1       Running   0          14m
#查看集群健康
curl  10.96.50.52:9200/_cluster/health?pretty
{
  "cluster_name" : "es_cluster",
  "status" : "green",
  "timed_out" : false,
  "number_of_nodes" : 6,
  "number_of_data_nodes" : 5,
... }

• 伸缩master节点
  • kubectl scale --replicas=3 deploy/elasticsearch-master
  • discovery.zen.minimum_master_node(最小master数)，由master总节点决定num=(master_eligible_nodes / 2）+ 1
  • 如果可用master是3，则该值为(3/2)+1=2(向下取整)
  • 使用kubectl edit deploy/elasticsearch-data修改该值