zeebe 目前还在一直的开发中，同时一些变动还是挺大的，比如simple monitor 的以前是不需要配置HazelcastExporter的
估计是为了进行集群功能处理，新添加的，以前写的配置基本都没法使用了，所以写了一个新的运行配置
环境准备
- docker-compose 文件
version: "3"
services:
db:
image: oscarfonts/h2
container_name: zeebe_db
ports:
- "1521:1521"
- "81:81"
monitor:
image: camunda/zeebe-simple-monitor
environment:
- spring.datasource.url=jdbc:h2:tcp://db:1521/zeebe-monitor
- io.zeebe.monitor.connectionString=app:26500
- io.zeebe.monitor.hazelcast.connection=app:5701
ports:
- "8080:8080"
app:
image: camunda/zeebe
volumes:
- ./zeebe-simple-monitor-exporter-0.13.0.jar:/usr/local/zeebe/lib/zeebe-simple-monitor-exporter-0.13.0.jar
- ./zeebe-hazelcast-exporter-0.2.0.jar:/usr/local/zeebe/lib/zeebe-hazelcast-exporter-0.2.0.jar
- ./zeebe.cfg.toml:/usr/local/zeebe/conf/zeebe.cfg.toml
ports:
- "26500:26500"
- "26501:26501"
- "26502:26502"
- "26503:26503"
- "26504:26504"
- "5701:5701"
odfe-node1:
image: amazon/opendistro-for-elasticsearch:0.8.0
container_name: odfe-node1
environment:
- opendistro_security.ssl.http.enabled=false
- cluster.name=odfe-cluster
- bootstrap.memory_lock=true # along with the memlock settings below, disables swapping
- "ES_JAVA_OPTS=-Xms512m -Xmx512m" # minimum and maximum Java heap size, recommend setting both to 50% of system RAM
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- ./odfe-data1:/usr/share/elasticsearch/data
ports:
- 9200:9200
- 9600:9600 # required for Performance Analyzer
odfe-node2:
image: amazon/opendistro-for-elasticsearch:0.8.0
container_name: odfe-node2
environment:
- opendistro_security.ssl.http.enabled=false
- cluster.name=odfe-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- discovery.zen.ping.unicast.hosts=odfe-node1
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- ./odfe-data2:/usr/share/elasticsearch/data
kibana:
image: amazon/opendistro-for-elasticsearch-kibana:0.8.0
container_name: odfe-kibana
ports:
- 5601:5601
expose:
- "5601"
environment:
ELASTICSEARCH_URL: http://odfe-node1:9200
- 几个exporter 下载
#!/bin/bash
wget https://github.com/zeebe-io/zeebe-simple-monitor/releases/download/0.13.0/zeebe-simple-monitor-exporter-0.13.0.jar
wget https://github.com/zeebe-io/zeebe-hazelcast-exporter/releases/download/0.2.0/zeebe-hazelcast-exporter-0.2.0.jar- zeebe 配置
[[exporters]]
id = "simple-monitor"
className = "io.zeebe.monitor.SimpleMonitorExporter"
[exporters.args]
jdbcUrl = "jdbc:h2:tcp://db:1521/zeebe-monitor"
driverName = "org.h2.Driver"
userName = "sa"
password = ""
[[exporters]]
id = "hazelcast"
className = "io.zeebe.hazelcast.exporter.HazelcastExporter"
[[exporters]]
id = "elasticsearch"
className = "io.zeebe.exporter.ElasticsearchExporter"
[exporters.args]
url = "http://odfe-node1:9200"
[exporters.args.bulk]
delay = 5
size = 1_000
[exporters.args.authentication]
username = "admin"
password = "admin"
[exporters.args.index]
prefix = "zeebe-record"
## 这个参数挺重要，设置为true，有异常，false 是可以的，应该和es版本有关系
createTemplate = false
command = false
event = true
rejection = false
deployment = true
incident = true
job = true
message = false
messageSubscription = false
raft = false
workflowInstance = true
workflowInstanceSubscription = false启动&&测试
- 启动
docker-compose up -d- 几个问题
我们需要配置宿主机几个参数
vm.max_map_count：
/etc/sysctl.conf 添加
vm.max_map_count=262144 生效 sysctl -p
容器启动失败，可能需要设置挂载目录权限，简单的方法是 chmod 777 odfe-data1 odfe-data2 - 效果
es 集群
monitor
- 创建一个部署
运行实例效果
es 集群数据，deploy
es 集群数据，job
说明
这个只是简单的测试，zeebe 的设计还是很灵活的，团队的规划是q2 可以产品可用，还是很期待的，实际上使用zeebe 做为我们微服务中的一个
编排工具，还是很强大的，而且集成opendistro for es 强大的功能，我们可以完成好多方便的应用开发
参考资料
https://github.com/zeebe-io/zeebe
https://github.com/rongfengliang/camunda-zeebe-es-exporter-demo
https://github.com/zeebe-io/zeebe-simple-monitor
https://github.com/zeebe-io/zeebe-hazelcast-exporter
https://opendistro.github.io/for-elasticsearch-docs/docs/install/