• 由dubbo服务禁用system.gc而引起的思考


    我一直都有一个疑问,丰巢业务服务的生产环境jvm参数设置是禁止system.gc的,也就是开启设置:-XX:+DisableExplicitGC,但是生产环境却从来没有出现过堆外内存溢出的情况。说明一下,丰巢使用了阿里开源的dubbo,而dubbo底层通信默认情况下使用了3.2.5.Final版本的netty,而我们对于netty的常规认知里,netty一定是使用了堆外内存,并且堆外内存在禁止了system.gc这个函数调用的话,在服务没有主动回收分配的堆外内存的情况下,一定会出现堆外内存的泄露。带着这个问题,刚好前天晚上有些时间,研究了一下3.2.5版本的netty源码,又是在科兴科兴园等馒头妈妈时候,发现了秘密之所在,我只能说,科兴科学园真是我的宝地啊。
     
    涉及到的netty类:NioWorker、HeapChannelBufferFactory、BigEndianHeapChannelBuffer、SocketReceiveBufferPool
     
    核心的秘密在SocketReceiveBufferPool中
     1 final class SocketReceiveBufferPool {
     2 
     3     private static final int POOL_SIZE = 8;
     4 
     5     @SuppressWarnings("unchecked")
     6     private final SoftReference<ByteBuffer>[] pool = new SoftReference[POOL_SIZE];
     7 
     8     SocketReceiveBufferPool() {
     9         super();
    10     }
    11 
    12     final ByteBuffer acquire(int size) {
    13         final SoftReference<ByteBuffer>[] pool = this.pool;
    14         for (int i = 0; i < POOL_SIZE; i ++) {
    15             SoftReference<ByteBuffer> ref = pool[i];
    16             if (ref == null) {
    17                 continue;
    18             }
    19 
    20             ByteBuffer buf = ref.get();
    21             if (buf == null) {
    22                 pool[i] = null;
    23                 continue;
    24             }
    25 
    26             if (buf.capacity() < size) {
    27                 continue;
    28             }
    29 
    30             pool[i] = null;
    31 
    32             buf.clear();
    33             return buf;
    34         }
    35 
    36         ByteBuffer buf = ByteBuffer.allocateDirect(normalizeCapacity(size));
    37         buf.clear();
    38         return buf;
    39     }
    40 
    41     final void release(ByteBuffer buffer) {
    42         final SoftReference<ByteBuffer>[] pool = this.pool;
    43         for (int i = 0; i < POOL_SIZE; i ++) {
    44             SoftReference<ByteBuffer> ref = pool[i];
    45             if (ref == null || ref.get() == null) {
    46                 pool[i] = new SoftReference<ByteBuffer>(buffer);
    47                 return;
    48             }
    49         }
    50 
    51         // pool is full - replace one
    52         final int capacity = buffer.capacity();
    53         for (int i = 0; i< POOL_SIZE; i ++) {
    54             SoftReference<ByteBuffer> ref = pool[i];
    55             ByteBuffer pooled = ref.get();
    56             if (pooled == null) {
    57                 pool[i] = null;
    58                 continue;
    59             }
    60 
    61             if (pooled.capacity() < capacity) {
    62                 pool[i] = new SoftReference<ByteBuffer>(buffer);
    63                 return;
    64             }
    65         }
    66     }
    67 
    68     private static final int normalizeCapacity(int capacity) {
    69         // Normalize to multiple of 1024
    70         int q = capacity >>> 10;
    71         int r = capacity & 1023;
    72         if (r != 0) {
    73             q ++;
    74         }
    75         return q << 10;
    76     }
    77 }
    SocketReceiveBufferPool中维护了一个SoftReference<ByteBuffer>类型的数组,关于java的SoftReference,大家可以自行搜索。其实就是在此类中维护了一个directbuffer的内存池,此部分的内存是可以重复利用的。那么问题来了,如果我们把netty用于接收网络信息的directbuffer直接传给dubbo的业务代码,那么这个内存池的作用是什么呢,内存如何被release回内存池?带着这个疑问,继续分析调用了SocketReceiveBufferPool的NioWorker代码。
     1     private boolean read(SelectionKey k) {
     2         final SocketChannel ch = (SocketChannel) k.channel();
     3         final NioSocketChannel channel = (NioSocketChannel) k.attachment();
     4 
     5         final ReceiveBufferSizePredictor predictor =
     6             channel.getConfig().getReceiveBufferSizePredictor();
     7         final int predictedRecvBufSize = predictor.nextReceiveBufferSize();
     8 
     9         int ret = 0;
    10         int readBytes = 0;
    11         boolean failure = true;
    12 
    13         ByteBuffer bb = recvBufferPool.acquire(predictedRecvBufSize);
    14         15         try {
    16             while ((ret = ch.read(bb)) > 0) {
    17                 readBytes += ret;
    18                 if (!bb.hasRemaining()) {
    19                     break;
    20                 }
    21             }
    22             failure = false;
    23         } catch (ClosedChannelException e) {
    24             // Can happen, and does not need a user attention.
    25         } catch (Throwable t) {
    26             fireExceptionCaught(channel, t);
    27         }
    28 
    29         if (readBytes > 0) {
    30             bb.flip();
    31 
    32             final ChannelBufferFactory bufferFactory =
    33                 channel.getConfig().getBufferFactory();
    34             final ChannelBuffer buffer = bufferFactory.getBuffer(readBytes);
    35             buffer.setBytes(0, bb);
    36             buffer.writerIndex(readBytes);
    37             //if(buffer instanceof BigEndianHeapChannelBuffer){
    38             //    logger2.info("buffer instanceof BigEndianHeapChannelBuffer.");
    39             //}
    40             recvBufferPool.release(bb);
    41 
    42             // Update the predi||\|||||
    43             predictor.previousReceiveBufferSize(readBytes);
    44 
    45             // Fire the event.
    46             fireMessageReceived(channel, buffer);
    47         } else {
    48             recvBufferPool.release(bb);
    49         }
    50 
    51         if (ret < 0 || failure) {
    52             k.cancel(); // Some JDK implementations run into an infinite loop without this.
    53             close(channel, succeededFuture(channel));
    54             return false;
    55         }
    56 
    57         return true;
    58     }
    在代码里发现了netty会再创造一个chanelbuffer对象,然后将directbuffer里的内容复制到chanelbuffer里面,而这个chanelbuffer对象实际上是一个堆内内存,然后netty会真对这块内存进行解码及返回给上层调用服务等,也就是说没有直接将directbuffer返回给dubbo服务,这样也就解释了,我们在提供dubbo服务的jvm里,禁止掉了system.gc的情况下,没有发生过堆外内存泄漏的原因。后面我会找时间详细的分析一下netty4和kafka使用directbuffer的情况。

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  • 原文地址:https://www.cnblogs.com/mantu/p/10409637.html
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