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package com.sun.enterprise.web.ara.rules;
import com.sun.enterprise.web.ara.IsolationRulesExecutor;
import com.sun.enterprise.web.connector.grizzly.Pipeline;
import com.sun.enterprise.web.connector.grizzly.LinkedListPipeline;
import com.sun.enterprise.web.connector.grizzly.ReadTask;
import com.sun.enterprise.web.connector.grizzly.SelectorThread;
import com.sun.enterprise.web.connector.grizzly.Task;
import com.sun.enterprise.web.connector.grizzly.TaskEvent;
import com.sun.enterprise.web.connector.grizzly.TaskListener;
import com.sun.enterprise.web.connector.grizzly.WorkerThreadImpl;
import java.util.Iterator;
import java.util.concurrent.ConcurrentHashMap;
import java.util.logging.Level;
/**
* Based on the application context-root, configure the <code>ReadTask</code>
* <code>Pipeline</code> based on the policy metric defined in domain.xml.
*
* @author Jeanfrancois Arcand
*/
public class HeapMemoryRule extends ThreadRatioRule implements TaskListener{
/**
* The memory allocated per application.
*/
protected final static ConcurrentHashMap<String,Long>
memoryAllowed = new ConcurrentHashMap<String,Long>();
/**
* The memory available at startup.
*/
private static long availableMemory = -1L;
/**
* Cache application memory usage approximation.
*/
protected final static ConcurrentHashMap<String,Long>
appMemoryUsage = new ConcurrentHashMap<String,Long>();
/**
* Cache the context-root assocated with a <code>ReadTask</code>
*/
protected final static ConcurrentHashMap<ReadTask, String>
contextRootyCache = new ConcurrentHashMap<ReadTask,String>();
/**
* A customized <code>Pipeline</code> used to measure the memory used
* by an application.
*/
private static HeapMemoryRulePipeline hmrPipeline;
/**
* The default <code>Pipeline</code> used by application that are
* allowed to execute.
*/
private static Pipeline defaultPipeline;
/**
* The consolidated amount of memory an application is using.
*/
private static ConcurrentHashMap<String,Long>
consolidatedMemoryUsed = new ConcurrentHashMap<String,Long>();
/**
* Simple lock.
*/
private Object[] lock = new Object[0];
// ------------------------------------------------ Pipeline ------------//
public Integer call() throws Exception {
synchronized(lock){
if (availableMemory == -1L){
availableMemory = usedMemory();
}
if ( hmrPipeline == null ) {
hmrPipeline = new HeapMemoryRulePipeline();
hmrPipeline.initPipeline();
hmrPipeline.startPipeline();
}
}
String token = getContextRoot();
Long memoryAllowedSize = memoryAllowed.get(token);
Double allowedRatio = privilegedTokens.get(token);
Pipeline pipeline = pipelines.get(token);
synchronized(lock){
if ( pipeline == null ){
if ( defaultPipeline == null) {
defaultPipeline = newPipeline(readTask.getPipeline()
.getMaxThreads(),readTask.getPipeline());
}
pipelines.put(token,defaultPipeline);
readTask.setPipeline(defaultPipeline);
} else {
readTask.setPipeline(pipeline);
}
}
// If no policy metry has been defined for this token and there
// is free memory, allow execution.
if ( memoryAllowedSize == null && allowedRatio == null){
if ( countReservedMemory() <= availableMemory) {
return IsolationRulesExecutor.RULE_OK_NOCACHE;
}
if ( allocationPolicy.equals(RESERVE) )
return IsolationRulesExecutor.RULE_BLOCKED;
else if ( allocationPolicy.equals(CEILING) )
return IsolationRulesExecutor.RULE_DELAY;
}
boolean isAllowed =
isAllowedToExecute(token,memoryAllowedSize,allowedRatio);
pipeline = pipelines.get(token);
if ( pipeline != null)
readTask.setPipeline(pipeline);
if ( !isAllowed ) {
if ( allocationPolicy.equals(RESERVE) )
return IsolationRulesExecutor.RULE_BLOCKED;
else if ( allocationPolicy.equals(CEILING) )
return IsolationRulesExecutor.RULE_DELAY;
}
return IsolationRulesExecutor.RULE_OK_NOCACHE;
}
/**
* Determine if an application can execute based on its policy metric and
* method.
*/
protected boolean isAllowedToExecute(String token, Long memoryAllowedSize,
Double allowedRatio) throws Exception{
long currentMemory = usedMemory();
// First request, needs to calculate the ratio.
if ( memoryAllowedSize == null ){
memoryAllowedSize =
(availableMemory * allowedRatio.longValue())/100;
// We must find the allowed size based on the ratio.
memoryAllowed.put(token,memoryAllowedSize);
}
if ( memoryAllowedSize > currentMemory) {
return false;
}
// Do we know how much memory is used?
Long usage = appMemoryUsage.get(token);
contextRootyCache.put(readTask,token);
// If null, we must execute the task to find how much memory
// the app consume.
if ( usage == null) {
pipelines.put(token,hmrPipeline);
return true;
}
// Make sure we can get all memory consumed by the application
Long currentAppUsage = consolidatedMemoryUsed.get(token);
if ( currentAppUsage == null ) {
currentAppUsage = 0L;
}
usage = currentAppUsage + usage;
if ( usage > currentMemory ) return false;
if ( usage > memoryAllowedSize ) return false;
consolidatedMemoryUsed.put(token,usage);
readTask.addTaskListener(this);
return true;
}
/**
* Return the total memory required by application which has a policy
* metric defined.
*/
private long countReservedMemory(){
Iterator<Long> iterator = memoryAllowed.values().iterator();
long count = 0L;
while (iterator.hasNext()){
count += iterator.next();
}
return count;
}
/**
* Predict the current memory
*/
private static long usedMemory(){
Runtime.getRuntime().gc();
return Runtime.getRuntime().totalMemory ()
- Runtime.getRuntime().freeMemory ();
}
/**
* Reduce the memory usage count when an application complete its execution.
*/
public void taskEvent(TaskEvent event) {
if ( event.getStatus() == TaskEvent.COMPLETED){
String token = contextRootyCache.remove(event.attachement());
if ( token != null ) {
Long count = consolidatedMemoryUsed.get(token);
count -= appMemoryUsage.get(token);
consolidatedMemoryUsed.put(token,count);
}
}
}
/**
* Customized <code>Pipeline</code> used to approximate the memory used
* by an application.
*/
private static class HeapMemoryRulePipeline extends LinkedListPipeline{
public void initPipeline(){
workerThreads = new WorkerThreadImpl[1];
WorkerThreadImpl workerThread = new WorkerThreadImpl(this,
"HeapMemoryRuleThread"){
public void run(){
while (true) {
try{
ReadTask t =
(ReadTask)HeapMemoryRulePipeline.this.getTask();
if ( t != null){
long current = usedMemory();
t.run();
long usage = usedMemory() - current;
if ( usage > 0){
String token =
contextRootyCache.get(t);
appMemoryUsage.put(token,usage);
pipelines.remove(token);
}
}
} catch (Throwable t) {
SelectorThread.logger().log(Level.SEVERE,
"workerThread.httpException",t);
}
}
}
};
workerThread.setPriority(priority);
workerThreads[0] = workerThread;
threadCount++;
}
/**
* Start the <code>Pipeline</code> and all associated
* <code>WorkerThread</code>
*/
public void startPipeline(){
if (!isStarted) {
workerThreads[0].start();
isStarted = true;
}
}
/**
* Stop the <code>Pipeline</code> and all associated
* <code>WorkerThread</code>
*/
public void stopPipeline(){
if (isStarted) {
workerThreads[0].terminate();
isStarted = false;
}
}
/**
* Add an object to this pipeline
*/
public synchronized void addTask(Task task) {
addLast(task);
notify();
}
}
} |
