我试图在Win10中运行此脚本来配置所有内容。 除弹性容器外,所有容器均已正确初始化,并且 弹性超时,然后以代码124退出。 https://imgur.com/a/FO8ckwc(某些日志输出) 我在运行此脚本的地方没有触摸Windows端口(您可以看到注释) https://pastebin.com/7Z8Gnenr
version: '3.1'
# Generated on 23-04-2018
services:
alfresco:
image: openmbeeguest/mms-repo:3.2.4-SNAPSHOT
environment:
CATALINA_OPTS: "-Xmx1G -XX:+UseConcMarkSweepGC"
depends_on:
- postgresql
- activemq
- elastic
networks:
- internal
ports:
- 8080:8080
volumes:
- alf_logs:/usr/local/tomcat/logs
- alf_data:/opt/alf_data
tmpfs:
- /tmp
- /usr/local/tomcat/temp/
- /usr/local/tomcat/work/
solr:
image: openmbeeguest/mms-solr:3.2.4-SNAPSHOT
environment:
CATALINA_OPTS: "-Xmx1G -XX:+UseG1GC -XX:+ParallelRefProcEnabled -XX:G1HeapRegionSize=8m -XX:MaxGCPauseMillis=200"
depends_on:
- alfresco
networks:
- internal
volumes:
- solr_logs:/usr/local/tomcat/logs/
- solr_content_store:/opt/solr/ContentStore
tmpfs:
- /tmp
- /usr/local/tomcat/temp/
- /usr/local/tomcat/work/
activemq:
image: openmbeeguest/mms-activemq:3.2.4-SNAPSHOT
ports:
#I changed these Windows side ports
- 61615:61616
- 61617:61614
- 8162:8161
# ORIGINAL
#- 61616:61616
#- 61614:61614
#- 8161:8161
volumes:
- activemq-data-volume:/data/activemq
- activemq-log-volume:/var/log/activemq
- activemq-conf-volume:/opt/activemq/conf
environment:
- ACTIVEMQ_ADMIN_LOGIN admin
- ACTIVEMQ_ADMIN_PASSWORD admin
networks:
- internal
elastic:
image: openmbeeguest/mms-elastic:3.2.4-SNAPSHOT
environment:
CLEAN: 'false'
ports:
- 9200:9200
volumes:
- elastic-data-volume:/usr/share/elasticsearch/data
networks:
- internal
postgresql:
image: openmbeeguest/mms-postgres:3.2.4-SNAPSHOT
volumes:
- pgsql_data:/var/lib/postgresql/data
environment:
- POSTGRES_USER=alfresco
- POSTGRES_PASSWORD=alfresco
- POSTGRES_DB=alfresco
networks:
- internal
volumes:
alf_logs:
alf_data:
solr_logs:
solr_content_store:
pgsql_data:
activemq-data-volume:
activemq-log-volume:
activemq-conf-volume:
elastic-data-volume:
nginx-external-volume:
networks:
internal:
任何帮助将不胜感激!
答案 0 :(得分:1)
您是否可以共享来自Elasticsearch容器的日志?没有它,很难说出它为什么退出。
vm.max_map_count
设置-default in Docker is too low for elasticsearch to function是让我反复绊倒的一件事,所以这是检查的第一件事。