Java MemoryUtil類代碼示例

import com.javamex.classmexer.MemoryUtil; //導入依賴的package包/類
private static int getRecordNum(int mb, List<Record> records) {
	/**
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	 */
	int sum = 1;
	for (Record record : records) {
		sum += MemoryUtil.deepMemoryUsageOf(record, VisibilityFilter.ALL);
	}
	if(records.size()==0){
		return mb * 1024 * 1024 / (sum / 1);	
	}else{
		return mb * 1024 * 1024 / (sum / records.size());
	}
}
 

import com.javamex.classmexer.MemoryUtil; //導入依賴的package包/類
/**
 * The Main of the MFIBlocking Algorithm
 * @param args
 * The parameters are as follows:
	1. Path to the lexicon file created in the previous stage (out parameter 6).
	2. The dataset of item ids created in the previous stage (out parameter 2).
	3. The set of min_th parameters you would like the algorithm to run on. This parameter is optional and 0 can be provided as the only parameter effectively eliminating the threshold.
	4. Path to the generated match file (out parameter 3).
	5. path to the debug file containing the items themselves (out parameter 7)
	6. The set of min supports to use.
	7. Must be set to MFI
	8. The set of p parameters to use as the Neighberhood Growth constraints.
 */
public static void main(String[] args){
	System.out.println("Entered Main");	
	String currDir = new File(".").getAbsolutePath();
	System.out.println("Working dir: " + currDir);	
	String lexiconFile = args[0];
	String recordsFile = args[1];
	String minBlockingThresholds = args[2];				
	double[] dMinBlockingThresholds = getThresholds(minBlockingThresholds);
	String matchFile = args[3];
	String origRecordsFile = args[4];
	int[] minSups = getInts(args[5]);
	Alg alg = Alg.valueOf(args[6]);	
	double[] NGs = getDoubles(args[7]);		
	if(args.length > 8 && args[8] != null){
		srcFile = args[8];
	}	
	System.out.println("args.length : " + args.length);
	System.out.println("Main srcFile : " + srcFile);
	long start = System.currentTimeMillis();
	//JS: Only first parameter is in use - recordsFile
	Map<Integer,Record> records = Utilities.readRecords(recordsFile,origRecordsFile,srcFile);
	int numOfrecords = Utilities.DB_SIZE;
	System.out.println("After reading records numOfrecords=" + numOfrecords);
	System.out.println("Time to read records " + (System.currentTimeMillis()-start)/1000.0 + " seconds");
	System.out.println("DEBUG: Size of recods: " + MemoryUtil.deepMemoryUsageOfAll(records.values(), VisibilityFilter.ALL)/Math.pow(2,30) + " GB");
	//GraphDatabaseService recordsDB = Utilities.readRecordsToDB(recordsFile,origRecordsFile,srcFile);
	//int numOfrecords = records.size();
	start = System.currentTimeMillis();
	Utilities.parseLexiconFile(lexiconFile);
	System.out.println("Time to read items (lexicon) " + (System.currentTimeMillis()-start)/1000.0 + " seconds");
	System.out.println("DEBUG: Size of lexicon: " + MemoryUtil.deepMemoryUsageOfAll(Utilities.globalItemsMap.values(), VisibilityFilter.ALL)/Math.pow(2,30) + " GB");
			
	start = System.currentTimeMillis();
	mfiBlocksCore(records,matchFile,minSups,dMinBlockingThresholds,alg,NGs);
	//iterativeFIsDB(records,trueClusters,minSups,dMinBlockingThresholds,alg,NGs);
	System.out.println("Total time for algorithm " + (System.currentTimeMillis()-start)/1000.0 + " seconds");	
}
 

import com.javamex.classmexer.MemoryUtil; //導入依賴的package包/類
public double memoryUsage(){
	return (MemoryUtil.deepMemoryUsageOfAll(allMatches.values(), VisibilityFilter.ALL)/Math.pow(2, 30));
}
 

import com.javamex.classmexer.MemoryUtil; //導入依賴的package包/類
/**
 * Core of the MFIBlocks algorithm
 * @param records
 * @param matchFile
 * @param minSups
 * @param minBlockingThresholds
 * @param alg
 * @param NGs
 */
public static void mfiBlocksCore(Map<Integer,Record> records, String matchFile,int[] minSups, 
		double[] minBlockingThresholds, Alg alg, double[] NGs){
	Arrays.sort(minSups);
	System.out.println("order of minsups used: " + Arrays.toString(minSups));
	List<BlockingRunResult> BlockingRunResults= new ArrayList<BlockingRunResult>();				
	for(double NG: NGs){
		NG_LIMIT = NG;
		for (double minBlockingThreshold : minBlockingThresholds) { // test for each minimum blocking threshold
			coveredRecords = new BitSet(records.size()+1);
			coveredRecords.set(0,true); // no such record
			FP = 0;
			numComparisons = 0;
			//ResultMatrix.clearAll();
			//clearTrueClusters(trueClusters);
			System.out.println("running iterative " + alg.toString() + "s with minimum blocking threshold " + minBlockingThreshold +
					" and NGLimit: " + NG_LIMIT);			
			long start = System.currentTimeMillis();
			//BitMatrix resultMatrix = getClustersToUse(records,minSups,minBlockingThreshold);
			CandidatePairs cps = getClustersToUse(records,minSups,minBlockingThreshold);
			//getClustersToUseDB(records,minSups,minBlockingThreshold,trueClusters);
			long startMaxRecall = System.currentTimeMillis();		
			TrueClusters trueClusters = new TrueClusters(Utilities.DB_SIZE, matchFile);
			System.out.println("DEBUG: Size of trueClusters: " + MemoryUtil.deepMemoryUsageOf(trueClusters, VisibilityFilter.ALL)/Math.pow(2,30) + " GB");				
			
			//double[] results = calculateFinalResults(trueClusters.groundTruth(), resultMatrix, records.size());
			double[] results = calculateFinalResults(trueClusters.groundTruthCandidatePairs(), cps, records.size());
			//double[] results = calculateFinalResults(trueClusters,records,coveredRecords,records.size());
			long totalMaxRecallCalculation = System.currentTimeMillis()-startMaxRecall;				
			BlockingRunResult blockingRR = (new BottomUp()).new BlockingRunResult(results[0],results[1],results[2],results[3],
					minBlockingThreshold,lastUsedBlockingThreshold,NG_LIMIT,(double)(System.currentTimeMillis()-start-totalMaxRecallCalculation)/1000.0);
			BlockingRunResults.add(blockingRR);
			System.out.println("");
			System.out.println("");
		}
	}
		
	if(BlockingRunResults != null && BlockingRunResults.size() > 0){
		String resultsString = writeBlockingRR(BlockingRunResults);
		System.out.println();
		System.out.println(resultsString);
	}
	else{
		System.out.println("Under current configuration, no clustering were achienved!!");
	}		
}