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📜  Groovy-JMX

📅  最后修改于: 2020-11-04 06:48:11             🧑  作者: Mango

JMX是事实上的标准，用于监视所有与Java虚拟环境有关的应用程序。鉴于Groovy直接位于Java之上，Groovy可以利用JMX与Java进行的大量工作。

监控JVM

可以使用java.lang.management中可用的标准类来进行JVM的监视。以下代码示例显示了如何完成此操作。

现场演示
import java.lang.management.*

def os = ManagementFactory.operatingSystemMXBean 
println """OPERATING SYSTEM: 
\tOS architecture = $os.arch 
\tOS name = $os.name 
\tOS version = $os.version 
\tOS processors = $os.availableProcessors 
""" 
 
def rt = ManagementFactory.runtimeMXBean 
println """RUNTIME: 
   \tRuntime name = $rt.name 
   \tRuntime spec name = $rt.specName 
   \tRuntime vendor = $rt.specVendor 
   \tRuntime spec version = $rt.specVersion 
   \tRuntime management spec version = $rt.managementSpecVersion 
   """ 

def mem = ManagementFactory.memoryMXBean 
def heapUsage = mem.heapMemoryUsage 
def nonHeapUsage = mem.nonHeapMemoryUsage 

println """MEMORY: 
   HEAP STORAGE: 
      \tMemory committed = $heapUsage.committed 
      \tMemory init = $heapUsage.init 
      \tMemory max = $heapUsage.max 
      \tMemory used = $heapUsage.used NON-HEAP STORAGE: 
      \tNon-heap memory committed = $nonHeapUsage.committed 
      \tNon-heap memory init = $nonHeapUsage.init 
      \tNon-heap memory max = $nonHeapUsage.max 
      \tNon-heap memory used = $nonHeapUsage.used 
   """
  
println "GARBAGE COLLECTION:" 
ManagementFactory.garbageCollectorMXBeans.each { gc ->
   println "\tname = $gc.name"
   println "\t\tcollection count = $gc.collectionCount"
   println "\t\tcollection time = $gc.collectionTime"
   String[] mpoolNames =   gc.memoryPoolNames
    
   mpoolNames.each { 
      mpoolName -> println "\t\tmpool name = $mpoolName"
   } 
}

执行代码时，输出将根据运行代码的系统而有所不同。下面给出了输出示例。

OPERATING SYSTEM: 
   OS architecture = x86 
   OS name = Windows 7 
   OS version = 6.1 
   OS processors = 4
   
RUNTIME: 
   Runtime name = 5144@Babuli-PC 
   Runtime spec name = Java Virtual Machine Specification 
   Runtime vendor = Oracle Corporation 
   Runtime spec version = 1.7 
   Runtime management spec version = 1.2
   
MEMORY: 
   HEAP STORAGE: 
      Memory committed = 16252928 
      Memory init = 16777216 
      Memory max = 259522560 
      Memory used = 7355840
   
NON-HEAP STORAGE: 
   Non-heap memory committed = 37715968 
   Non-heap memory init = 35815424 
   Non-heap memory max = 123731968 
   Non-heap memory used = 18532232 
   
GARBAGE COLLECTION: 
   name = Copy 
   collection count = 15 
   collection time = 47 
   mpool name = Eden Space 
   mpool name = Survivor Space
        
   name = MarkSweepCompact 
      collection count = 0 
      collection time = 0 
        
      mpool name = Eden Space 
      mpool name = Survivor Space 
      mpool name = Tenured Gen 
      mpool name = Perm Gen 
      mpool name = Perm Gen [shared-ro] 
      mpool name = Perm Gen [shared-rw]

监视Tomcat

为了监视tomcat，启动tomcat时应设置以下参数：

set JAVA_OPTS = -Dcom.sun.management.jmxremote 
Dcom.sun.management.jmxremote.port = 9004\
 
-Dcom.sun.management.jmxremote.authenticate=false 
Dcom.sun.management.jmxremote.ssl = false

以下代码使用JMX在运行的Tomcat中发现可用的MBean，确定哪些是Web模块，并提取每个Web模块的处理时间。

import groovy.swing.SwingBuilder
  
import javax.management.ObjectName 
import javax.management.remote.JMXConnectorFactory as JmxFactory 
import javax.management.remote.JMXServiceURL as JmxUrl 
import javax.swing.WindowConstants as WC 
 
import org.jfree.chart.ChartFactory 
import org.jfree.data.category.DefaultCategoryDataset as Dataset 
import org.jfree.chart.plot.PlotOrientation as Orientation 
 
def serverUrl = 'service:jmx:rmi:///jndi/rmi://localhost:9004/jmxrmi' 
def server = JmxFactory.connect(new JmxUrl(serverUrl)).MBeanServerConnection 
def serverInfo = new GroovyMBean(server, 'Catalina:type = Server').serverInfo 
println "Connected to: $serverInfo" 
 
def query = new ObjectName('Catalina:*') 
String[] allNames = server.queryNames(query, null) 

def modules = allNames.findAll { name -> 
   name.contains('j2eeType=WebModule') 
}.collect{ new GroovyMBean(server, it) }
  
println "Found ${modules.size()} web modules. Processing ..." 
def dataset = new Dataset() 
 
modules.each { m ->
   println m.name()
   dataset.addValue m.processingTime, 0, m.path 
}