Skip to content

Yifan122/hadoop-src-learn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

HDFS src learning

Fully commented code for HDFS

源代码的改进

  • 双缓冲区高并发时缓冲大小不足,造成大量wait
    • 在Editlog.java 中有个判断是否进行刷盘
void logEdit(final FSEditLogOp op) {
    synchronized (this) {
      assert isOpenForWrite() :
              "bad state: " + state;

      // 如果当前操作被其他线程调度了,则等待1s时间(同步操作)
      waitIfAutoSyncScheduled();
      /**
       * name: editlog_0000000_00000022.log
       *       editlog_0000023_00000055.log
       * */
      //TODO 步骤1:获取当前独一无二的事务ID
      long start = beginTransaction();
      //设置事物ID
      op.setTransactionId(txid);
      try {
        /**
         * 将数据刷到JournalNode
         * editLogStream包括2个流:
         * 1):写namenode
         * 2):写JournalNode
         * */
        //TODO 步骤2:将元数据信息写入内存(其实内部就是往bufCurrent写数据)
        editLogStream.write(op);

      } catch (IOException ex) {
        // All journals failed, it is handled in logSync.
      } finally {
        op.reset();
      }
      //设置结束时间,然后把执行时间:end-start结果放入metrics
      endTransaction(start);
      //TODO 不满足需求,那么立马return
      if (!shouldForceSync()) {//!false
        return;
      }
      //true,标识bufCurrent满了,进行双缓冲刷盘了
      isAutoSyncScheduled = true;
    }
    //TODO 步骤3 将缓冲的编辑日志条目同步到持久性存储
    logSync();
  }

其中shouldForceSync() 的实现是

public boolean shouldForceSync() {
    //TODO 如果当前缓冲区内大小 > 512k
    return bufCurrent.size() >= initBufferSize;
 }

initBufferSize是写死的,在FileJournalManager中为512K,需要将其改成可配置的。

代码修改如下:

// in FileJournalManager.java
// DFS_NAMENODE_BUFFER_VALUE_KEY = dfs.namenode.buffer.value
// DFS_NAMENODE_BUFFER_DEFAULT_VALUE = 10 * 512 * 1024 //5M
this.outputBufferCapacity = conf.getInt(
            DFSConfigKeys.DFS_NAMENODE_BUFFER_VALUE_KEY ,
            DFSConfigKeys.DFS_NAMENODE_BUFFER_DEFAULT_VALUE);

in hdfs-default.xml 修改如下

  <property>
    <name>dfs.namenode.buffer.value</name>
    <value>5242880</value>
  </property>

About

Hadoop src code learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published