6 memory-management elasticsearch docker docker-compose
我收到此错误:
es01 | {"type": "server", "timestamp": "2019-09-18T17:31:42,267+0000", "level": "INFO", "component": "oenNode", "cluster.name": " docker-cluster", "node.name": "es01", "message": "starting ..." } es01 | {"type": "server", "timestamp": "2019-09-18T17:31:42,709+0000", "level": "INFO", "component": "oetTransportService", "cluster.name": " docker-cluster", "node.name": "es01", "message": "publish_address {172.21.0.3:9300}, bound_addresses {0.0.0.0:9300}" } es01 | {“类型”:“服务器”,“时间戳”:“
重要的错误:
错误:[1] 引导程序检查失败 es01 | [1]:最大虚拟内存区域 vm.max_map_count [65530] 太低,增加到至少 [262144]
然后节点因上述错误而停止:
es01 | {"type": "server", "timestamp": "2019-09-18T17:31:42,810+0000", "level": "INFO", "component": "oenNode", "cluster.name": " docker-cluster", "node.name": "es01", "message": "stopping ..." } es01 | {"type": "server", "timestamp": "2019-09-18T17:31:42,904+0000", "level": "INFO", "component": "oenNode", "cluster.name": " docker-cluster", "node.name": "es01", "message": "stopped" } es01 | {"type": "server", "timestamp": "2019-09-18T17:31:42,905+0000", "level": "INFO", "
我的 docker-compose.yml 文件如下:
version: '2.2'
services:
kibana:
depends_on:
- es01
- es02
image: docker.elastic.co/kibana/kibana:7.3.1
container_name: kibana
ports:
- 5601:5601
environment:
ELASTICSEARCH_HOSTS: http://es01:9200
ELASTICSEARCH_URL: http://es01:9200
es01:
image: docker.elastic.co/elasticsearch/elasticsearch:7.3.1
container_name: es01
environment:
- node.name=es01
- discovery.seed_hosts=es02
- cluster.initial_master_nodes=es01,es02
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata01:/usr/share/elasticsearch/data
ports:
- 9200:9200
- 9300:9300
es02:
image: docker.elastic.co/elasticsearch/elasticsearch:7.3.1
container_name: es02
environment:
- node.name=es02
- discovery.seed_hosts=es01
- cluster.initial_master_nodes=es01,es02
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata02:/usr/share/elasticsearch/data
volumes:
esdata01:
driver: local
esdata02:
driver: local
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有谁知道如何增加集群的内存并修复错误?
小智 15
看起来解决方案是使用:https : //github.com/docker-library/elasticsearch/issues/111
这建议在 ubuntu 上运行它:
sudo sysctl -w vm.max_map_count=262144
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