最后的系统登录验证命令: ➜ elasticstack git:(master) ✗ curl --cacert certs/ca/ca.crt -u elastic 'https://es1.zenlab.local:9200/_cat/nodes?v' Enter host password for user 'elastic': ip heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name 192.168.50.13 2...
es1.zenlab.local # --- Discovery --- #设定初始的 master 节点为 es1 cluster.initial_master_nodes: ["es1"] discovery.seed_hosts: ["es1.zenlab.local"] # --- TLS and Cert --- #启用用户名和密码认证 xpack.security.enabled: true #启用 ES 集群内加密传输 xpack.security.transport.ssl....
pretty=true"# 停止elasticsearch应用curl -XPOST"http://192.168.75.21:9200/_shutdown"# 查看集群健康curl 192.168.75.21:9200/_cluster/health?pretty# 检查集群状态curl 192.168.75.21:9200/_cluster/stats?pretty# 节点状态curl 192.168.75.21:9200/_nodes/process?pretty curl 192.168.75.21:9200/_nodes/192.168....
"cluster_name":"kevin-elk",#集群名称 "status":"green",#为 green 则代表健康没问题,如果是 yellow 或者 red 则是集群有问题 "timed_out":false,#是否有超时 "number_of_nodes": 3,#集群中的节点数量 "number_of_data_nodes": 3, "active_primary_shards": 2234, "active_shards": 4468, "relocat...
cluster.initial_master_nodes: 所有节点的名称,本文固定是["es00", "es01", "es02"] 第三步:启动 执行如下命令即可启动,如果之前es00重名了,可以先执行docker rm -f es00,然后再运行下面的启动命令(需要根据实际情况修改--add-host)。 docker run \ --name es00 \ -d -p 9200:9200 -p 9300:9300...
./bin/elasticsearch-node detach-cluster (选择y) 3.数据迁移(腾讯云侧操作) 这一步和7.0以下版本操作是一样的,主要目的是让分片从自建集群节点上逐步平滑迁移到云上节点上来,具体操作详情可参考上面步骤。 4.集群分离(客户侧操作) 这一步和7.0以下版本操作是一样的,具体操作详情可参考上面步骤。
cluster.initial_master_nodes: ["192.168.237.50", "192.168.237.51"] xpack.security.enabled: true xpack.monitoring.enabled: true xpack.security.transport.ssl.enabled: true xpack.security.transport.ssl.verification_mode: certificate xpack.security.transport.ssl.keystore.path: /etc/elasticsearch/elastic...
elasticsearch ClusterIP None<none>42/TCP 5h52m 1. 2. 3. 按理说是应该自动手动创建一个无头svc 接下来给elasticsearch创建一个密码 登录到任意一台pod上 /usr/share/elasticsearch/bin/elasticsearch-setup-passwords interactive 1. 配置ingress 打开浏览器输入负载均衡ip,使用密码登录elastic/刚才创建的密码 ...
Earlier today, we saw a few nodes on a large cluster that hit OutOfMemoryErrors (but then stayed "alive") while running on 1.3.4. As a result, the pending_tasks list filled up and never seemed to seriously progress (unfortunately the _ca...
GET /_cluster/allocation/explain 这里通过异常信息可以看出: 1.主分片当前处于未分配状态(current_state),发生这个问题的原因是分配了该分片的节点已从集群中离开(unassigned_info.reason)。 2.上述问题发生后,分片无法自动分配分片的原因是集群中没有该分片的可用副本(can_allocate)。