javaagent:xxx.jar 被代理的类 说完了Instrumentation,接下来就用它来实际测量下对象的大小: 普通对象: Instrumentation注入类: public class ObjectSize (image-c1c0a4-1525935829095)] 将打包好的jar文件,用解压缩工具打开,修改META-INF/MANIFEST.MF文件,告诉虚拟机在程序执行的时候执行ObjectSize类的 编译运行 此步骤,是实际的运行过程,需要将上面的2个类进行编译,并且将ObjectSize打包,执行“java -javaagent:ObjectSize.jar JVMTest4”命令。 (ObjectSize.sizeOf(new ObjectA[2])); System.out.println(ObjectSize.sizeOf(new ObjectB[0])); System.out.println(ObjectSize.sizeOf(new ObjectB[1])); System.out.println(ObjectSize.sizeOf
value_type*>(); for (int i = 0; i < maxProposalCount; i++) { float image_id = detections[i * objectSize + 0]; int label = static_cast<int>(detections[i * objectSize + 1]); float confidence = detections[i * objectSize + 2]; float xmin = detections[i * objectSize + 3] * width; float ymin = detections[i * objectSize + 4] * height; float xmax = detections[i * objectSize + 5] * width; float ymax = detections[i * objectSize + 6] * height; if (confidence >
outputDims = output->getTensorDesc().getDims(); const int maxProposalCount = outputDims[2]; const int objectSize + 1]; float confidence = detection[curProposal * objectSize + 2]; float xmin = detection[curProposal * objectSize + 3] * image_width; float ymin = detection[curProposal * objectSize + 4] * image_height ; float xmax = detection[curProposal * objectSize + 5] * image_width; float ymax = detection[ curProposal * objectSize + 6] * image_height; if (confidence > 0.5) { printf("label id :
= output->getTensorDesc().getDims(); const int maxProposalCount = outputDims[2]; const int objectSize + 1]; float confidence = detection[curProposal * objectSize + 2]; float xmin = detection [curProposal * objectSize + 3] * image_width; float ymin = detection[curProposal * objectSize + 4] * image_height; float xmax = detection[curProposal * objectSize + 5] * image_width; float ymax = detection[curProposal * objectSize + 6] * image_height; if (confidence > 0.5) {
= output->getTensorDesc().getDims(); const int maxProposalCount = outputDims[2]; const int objectSize + 1]; float confidence = detection[curProposal * objectSize + 2]; float xmin = detection [curProposal * objectSize + 3] * image_width; float ymin = detection[curProposal * objectSize + 4] * image_height; float xmax = detection[curProposal * objectSize + 5] * image_width; float ymax = detection[curProposal * objectSize + 6] * image_height; if (confidence > 0.5) {
实验(观察对象的大小) 新建项目(以IDEA为例)ObjectSize (1.8)一个单独的项目 创建文件ObjectSizeAgent import java.lang.instrument.Instrumentation 运行时需要该Agent Jar的类,加入参数: -javaagent:E:\java\test\ObjectSize\target\ObjectSize-1.0-SNAPSHOT.jar 不开启压缩指针 ,减号就表示不开启 -javaagent:E:\java\test\ObjectSize\target\ObjectSize-1.0-SNAPSHOT.jar -XX:-UseCompressedClassPointers 不开启指针压缩长度是8)4 + int类型 4 + padding 0(长度正好16是8的2倍) 那么这里开启指针压缩,我们也可不开启指针压缩,通过JVM参数 -javaagent:E:\java\test\ObjectSize \target\ObjectSize-1.0-SNAPSHOT.jar -XX:-UseCompressedClassPointers -XX:-UseCompressedClassPointers
/***mempool.h***/ template<int ObjectSize,int NumofObjects=20> class MemPool{ private: const int }; FreeNode* freeNodeHeader; MemBlock* memBlockHeader; public: MemPool():ItemSize(ObjectSize +sizeof(FreeNode*)),MemBlockSize(sizeof(MemBlock*)+NumofObjects*(ObjectSize+sizeof(FreeNode*))){ ,int NumofObjects> void* MemPool<ObjectSize,NumofObjects>::malloc(){ if(freeNodeHeader==NULL){ ,int NumofObjects> void MemPool<ObjectSize,NumofObjects>::free(void* p){ FreeNode* pNode=(FreeNode
3100}, 'image'); var hotspots = image.select('B10').gt(3100) .selfMask() .rename('hotspots'); var objectSize = hotspots.connectedPixelCount(256); Map.addLayer(objectSize, {min: 1, max: 256}, 'Size No Reproject false var reprojected = objectSize.reproject(hotspots.projection()); Map.addLayer(reprojected, {min:
maxSize: 128 }); print(objectId); Map.addLayer(objectId.randomVisualizer(), null, 'Objects'); var objectSize objectId.select('labels') .connectedPixelCount({ maxSize: 128, eightConnected: false }); Map.addLayer(objectSize var objectArea =objectSize.multiply(pixelArea); // 向地图显示对象区域。
新建项目ObjectSize(1.8) 2. 运行时需要该AgentJar的类,加入参数: -javaagent:C:\work\ijprojects\ObjectSize\out\artifacts\ObjectSize_jar\ObjectSize.jar
这个时候我要放的元素计算出来的 size 是 300,也就是 objectSize 是 300。 sum+objectSize=1100,比 memoryLimit 的值大,是不是在这个 while 判断的时候被拦截住了: 之后,假设队列里面又释放了一个 size 为 600 的对象。 这个时候执行 memory.add(-objectSize) 方法,memory 变为 200: 那么会调用 signalNotLimited 方法,唤醒这个被拦截的这个哥们: 这个哥们一被唤醒,一看代码 : while (sum + objectSize >= memoryLimit) { notLimited.await(); } 心里想:我这里的 sum 是 800,objectSize 这个地方的代码肯定得这样,每次都查看最新的 memory 值才行: while (memory.sum() + objectSize >= memoryLimit) { notLimited.await
Memcached也有瓶颈,单个ObjectSize不得大于1MB,KeySize不得大于250个字符,Write要比Read耗时长,对大对象做Write Cache时尤为明显。 Redis可以简单理解为Store-Cache,用作Cache:ObjectSize支持1GB,KeySize支持512Bytes,并支持复杂数据类型,可在内存中直接排序等。
25 requestId 请求 ID NWQ1ZjY4MTBfMjZiMjU4NjRfOWI1N180NDBiYTY= 26 objectSize 对象大小(Bytes) 808,如果您使用分块上传,objectSize
app/workspace/jave-code-note/server-api/target/classes/com/api/rcode/controller/HomeController.class objectSize app/workspace/jave-code-note/server-api/target/classes/com/api/rcode/controller/HomeController.class objectSize
int stackSize = 0; for (int i = 0; i < nStack; i++) { Object typ = stack[i]; int objectSize long和double的大小为2 if (typ.equals(Opcodes.LONG) || typ.equals(Opcodes.DOUBLE)) { objectSize = 2; } for (int j = savedVariableState.stackVars.size(); j < stackSize+objectSize; j 1; // 类似 if (typ.equals(Opcodes.LONG) || typ.equals(Opcodes.DOUBLE)) { objectSize } // 类似,占位 for (int j = savedVariableState.localVars.size(); j < localSize+objectSize
[root@lab8106 ~]# echo $filesize31457280[root@lab8106 ~]# objectnumori=`echo "scale = 1; $filesize/$objectsize
api-put-object.go func (c *Client) PutObject(ctx context.Context, bucketName, objectName string, reader io.Reader, objectSize PutObjectOptions) (info UploadInfo, err error) return c.putObjectCommon(ctx, bucketName, objectName, reader, objectSize
IoBuffer buf = IoBuffer.allocate(64); buf.setAutoExpand(true); buf.putObject(arg1); int objectSize = buf.position() - 4; if (objectSize > 1024) { throw new IllegalArgumentException("The encoded object is too big: " + objectSize + " (> " + 1024 + ')'); } buf.flip
max = 3100), "image") hotspots <- image$select("B10")$ gt(3100)$ selfMask()$ rename("hotspots") objectSize reprojected <- objectSize$reproject(hotspots$projection()) Map$addLayer(objectSize, list(min = 1, max
* * * /data/app/scripts/monitor/check_maxfilesize.sh 8,12,16 * * * /data/app/scripts/monitor/check_objectsize.sh