tomcat服务activemq配置在 runtime_config_root/mq/mq.properties配置文件中 步骤
时间: 2024-05-27 13:13:53 浏览: 10
1. 打开 runtime_config_root/mq/mq.properties 配置文件
2. 在文件中配置以下信息:
a. activemq.brokerURL=tcp://localhost:61616 (指定ActiveMQ的连接地址)
b. activemq.userName=admin (指定ActiveMQ的用户名)
c. activemq.password=admin (指定ActiveMQ的密码)
d. activemq.queueName=myQueue (指定ActiveMQ的队列名称)
3. 保存并关闭文件。
相关问题
python2,一个进程为inotify.py,输入参数为/opt/hikvision/web/components/tomcat85linux64.1/ /opt/hikvision/web/components/xconfig.1/bin/xconfig-server/config /opt/hikvision/web/components/sac.1/bin/web /opt/hikvision/web/components/activemq514linux64.1/bin/linux-x86-64 /opt/hikvision/web/components/rabbitmq.1/bin/rabbitmq-auth/config /opt/hikvision/web/components/ls.1/script/license /opt/hikvision/web/components/xresmgr.1/bin/xresmgr-rms/config /opt/hikvision/web/components/loganalysis.1/bin/loges /opt/hikvision/web/components/xjob.1/bin/xjob-server/config /opt/hikvision/web/components/xdictionary.1/bin/xdictionary-dds/config,另一个进程为jes-agent.1.service,通过CGroup将inotify.py进程作为子进程挂载到jes-agent.1.service进程中
好的,你的问题是如何使用CGroup将带有输入参数的inotify.py进程作为子进程挂载到jes-agent.1.service进程中。在Python2中,你可以使用cgroups模块来进行CGroup的相关操作,同时可以使用subprocess模块来启动进程。
以下是一个简单的示例代码,可以供你参考:
```python
import cgroups
import subprocess
# 创建CGroup
cg = cgroups.Cgroup('mygroup')
# 将带有输入参数的inotify.py进程加入到CGroup中
inotify_params = ['/opt/hikvision/web/components/tomcat85linux64.1/', '/opt/hikvision/web/components/xconfig.1/bin/xconfig-server/config', '/opt/hikvision/web/components/sac.1/bin/web', '/opt/hikvision/web/components/activemq514linux64.1/bin/linux-x86-64', '/opt/hikvision/web/components/rabbitmq.1/bin/rabbitmq-auth/config', '/opt/hikvision/web/components/ls.1/script/license', '/opt/hikvision/web/components/xresmgr.1/bin/xresmgr-rms/config', '/opt/hikvision/web/components/loganalysis.1/bin/loges', '/opt/hikvision/web/components/xjob.1/bin/xjob-server/config', '/opt/hikvision/web/components/xdictionary.1/bin/xdictionary-dds/config']
inotify = subprocess.Popen(['python', 'inotify.py'] + inotify_params, stdout=subprocess.PIPE)
cg.add_task(inotify.pid)
# 将inotify.py作为子进程挂载到jes-agent.1.service进程中
jes_agent = subprocess.Popen(['jes-agent.1.service'], preexec_fn=cg.set_pid)
```
需要注意的是,以上代码仅供参考,具体的实现方式还需要根据你的具体需求进行调整。同时,你需要确保inotify.py和jes-agent.1.service进程都已经启动,并且你需要根据实际情况调整进程的启动参数。
如何用subprocess.Popen执行带有很多入参的python脚本,并得到它的PID?其中入参为/opt/hikvision/web/components/tomcat85linux64.1/ /opt/hikvision/web/components/xconfig.1/bin/xconfig-server/config /opt/hikvision/web/components/sac.1/bin/web /opt/hikvision/web/components/activemq514linux64.1/bin/linux-x86-64 /opt/hikvision/web/components/rabbitmq.1/bin/rabbitmq-auth/config /opt/hikvision/web/components/ls.1/script/license /opt/hikvision/web/components/xresmgr.1/bin/xresmgr-rms/config /opt/hikvision/web/components/loganalysis.1/bin/loges /opt/hikvision/web/components/xjob.1/bin/xjob-server/config /opt/hikvision/web/components/xdictionary.1/bin/xdictionary-dds/config
可以使用 `subprocess.Popen` 来执行带有很多入参的 Python 脚本,并得到它的 PID。下面是一个例子:
```python
import subprocess
# 定义命令行参数
args = ["python", "script.py", "/opt/hikvision/web/components/tomcat85linux64.1/", "/opt/hikvision/web/components/xconfig.1/bin/xconfig-server/config", "/opt/hikvision/web/components/sac.1/bin/web", "/opt/hikvision/web/components/activemq514linux64.1/bin/linux-x86-64", "/opt/hikvision/web/components/rabbitmq.1/bin/rabbitmq-auth/config", "/opt/hikvision/web/components/ls.1/script/license", "/opt/hikvision/web/components/xresmgr.1/bin/xresmgr-rms/config", "/opt/hikvision/web/components/loganalysis.1/bin/loges", "/opt/hikvision/web/components/xjob.1/bin/xjob-server/config", "/opt/hikvision/web/components/xdictionary.1/bin/xdictionary-dds/config"]
# 执行脚本
process = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
# 获取进程 ID
pid = process.pid
# 打印进程 ID
print("PID:", pid)
# 获取输出
output, error = process.communicate()
# 打印输出和错误
print(output.decode())
print(error.decode())
```
上述代码中,`args` 变量定义了要执行的命令和参数。在这个例子中,我们要执行 `script.py` 脚本,并传入多个命令行参数,每个参数都是一个路径。
然后,我们使用 `subprocess.Popen` 来执行这个命令。`stdout=subprocess.PIPE` 和 `stderr=subprocess.PIPE` 参数表示要把标准输出和标准错误输出都保存下来,以便后面使用。
接着,我们使用 `process.pid` 属性来获取进程的 PID,并将其保存在变量 `pid` 中。
最后,我们打印进程的 PID,获取脚本的输出和错误信息,并通过 `decode()` 方法将字节字符串转换为文本字符串。最后,我们打印输出和错误信息。
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