最近在写wormhole的HBase plugin,需要分别实现hbase reader和hbase writer。

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  在测试的时候会报错如下:

  2013-07-08 09:30:02,568 [pool-2-thread-1] org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.processBatchCallback(HConnectionManager.java:1631) WARN  client.HConnectionManager$HConnectionImplementation - Failed all from region=t1,,1373246892580.877bb26da1e4aed541915870fa924224., hostname=test89.hadoop, port=60020
ncurrent.ExecutionException: java.io.IOException: Call to test89.hadoop/10.1.77.89:60020 failed on local exception: java.io.InterruptedIOException: Interruped while waiting for IO on channel java.nio.channels.SocketChannel[connected local=/10.1.77.84:51032 remote=test89.hadoop/10.1.77.89:60020]. 59999 millis timeout left.
 at ncurrent.FutureTask$Sync.innerGet(FutureTask.java:222)
 at ncurrent.FutureTask.get(FutureTask.java:83)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.processBatchCallback(HConnectionManager.java:1601)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.processBatch(HConnectionManager.java:1453)
 at org.apache.hadoop.hbase.client.HTable.flushCommits(HTable.java:936)
 at org.apache.hadoop.hbase.client.HTable.put(HTable.java:783)
 at com.dp.nebula.wormholmon.HBaseClient.flush(HBaseClient.java:121)
 at com.dp.nebula.wormhole.plugins.writer.hbasewritemit(HBaseWriter.java:112)
 at com.dp.nebula.wormholre.WriterThread.call(WriterThread.java:52)
 at com.dp.nebula.wormholre.WriterThread.call(WriterThread.java:1)
 at ncurrent.FutureTask$Sync.innerRun(FutureTask.java:303)
 at ncurrent.FutureTask.run(FutureTask.java:138)
 at ncurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
 at ncurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
 at java.lang.Thread.run(Thread.java:662)
Caused by: java.io.IOException: Call to test89.hadoop/10.1.77.89:60020 failed on local exception: java.io.InterruptedIOException: Interruped while waiting for IO on channel java.nio.channels.SocketChannel[connected local=/10.1.77.84:51032 remote=test89.hadoop/10.1.77.89:60020]. 59999 millis timeout left.
 at org.apache.hadoop.hbase.ipc.HBaseClient.wrapException(HBaseClient.java:1030)
 at org.apache.hadoop.hbase.ipc.HBaseClient.call(HBaseClient.java:999)
 at org.apache.hadoop.hbase.ipc.SecureRpcEngine$Invoker.invoke(SecureRpcEngine.java:104)
? at com.sun.proxy.$Proxy5.multi(Unknown Source)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$3$1.call(HConnectionManager.java:1430)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$3$1.call(HConnectionManager.java:1428)
 at org.apache.hadoop.hbase.client.ServerCallable.withoutRetries(ServerCallable.java:215)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$3.call(HConnectionManager.java:1437)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$3.call(HConnectionManager.java:1425)
 ... 5 more
Caused by: java.io.InterruptedIOException: Interruped while waiting for IO on channel java.nio.channels.SocketChannel[connected local=/10.1.77.84:51032 remote=test89.hadoop/10.1.77.89:60020]. 59999 millis timeout left.
2013-07-08 09:30:03,579 [pool-2-thread-6] com.dp.nebula.wormholre.WriterThread.call(WriterThread.java:56) ERROR core.WriterThread - Exception occurs in writer thread!
com.dmon.WormholeException: java.io.IOException: <SPAN >org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@b7c96a9 closed</SPAN>
 at com.dp.nebula.wormhole.plugins.writer.hbasewritemit(HBaseWriter.java:114)
 at com.dp.nebula.wormholre.WriterThread.call(WriterThread.java:52)
 at com.dp.nebula.wormholre.WriterThread.call(WriterThread.java:1)
 at ncurrent.FutureTask$Sync.innerRun(FutureTask.java:303)
 at ncurrent.FutureTask.run(FutureTask.java:138)
 at ncurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
 at ncurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
 at java.lang.Thread.run(Thread.java:662)
Caused by: java.io.IOException: org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation@b7c96a9 closed
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.locateRegion(HConnectionManager.java:877)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.locateRegion(HConnectionManager.java:857)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.processBatchCallback(HConnectionManager.java:1568)
 at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.processBatch(HConnectionManager.java:1453)
 at org.apache.hadoop.hbase.client.HTable.flushCommits(HTable.java:936)
 at org.apache.hadoop.hbase.client.HTable.put(HTable.java:783)
 at com.dp.nebula.wormholmon.HBaseClient.flush(HBaseClient.java:121)
 at com.dp.nebula.wormhole.plugins.writer.hbasewritemit(HBaseWriter.java:112)
 ... 7 more

  wormhole的reader和writer会分别起一个ThreadPoolExecutor,出错是在writer端的flush阶段,也就是最后一次批量插入操作。由于我的reader是每一个thread一个htable instance没有问题,而writer是共用了一个singleton HBaseClient,然后用ThreadLocal去保证每一个thread拥有一个本地htable对象,有可能有错误,最简单的方法是把writer端不用singleton HBaseClient,问题应该解决,不过没搞清root cause,不爽啊。。。

  后来看了HTable和HAdmin的源代码才有点线索

  public HTable(Configuration conf, final byte [] tableName)
  throws IOException {
    this.tableName = tableName;
    this.cleanupPoolOnClose = this.cleanupConnectionOnClose = true;
    if (conf == null) {
      nnection = null;
      return;
    }
    nnection = HConnectionManager.getConnection(conf);
    nfiguration = conf;
    int maxThreads = conf.getInt("hbase.htable.threads.max", Integer.MAX_VALUE);
    if (maxThreads == 0) {
      maxThreads = 1; // is there a better default?
    }
    long keepAliveTime = conf.getLong("hbase.htable.threads.keepalivetime", 60);
    ((ThreadPoolExecutor)this.pool).allowCoreThreadTimeOut(true);
    this.finishSetup();
  }

  每一个HTable instance都有一个HConnection对象,它负责与Zookeeper和之后的HBase Cluster建立链接(比如cluster中定位region,locations的cache,当region移动后重新校准),它由HConnectionManager来管理

  public static HConnection getConnection(Configuration conf)
  throws ZooKeeperConnectionException {
    HConnectionKey connectionKey = new HConnectionKey(conf);
    synchronized (HBASE_INSTANCES) {
      HConnectionImplementation connection = HBASE_INSTANCES.get(connectionKey);
      if (connection == null) {
        connection = new HConnectionImplementation(conf, true);
        HBASE_INSTANCES.put(connectionKey, connection);
      }
      connection.incCount();
      return connection;
    }
  }

  HConnectionManager内部有LRU MAP => HBASE_INSTANCES的静态变量作为cache,key为HConnectionKey,包含了username和指定的properties(由传进去的conf提取), value就是HConnection具体实现HConnectionImplementation,由于传入进去的conf都一样,所以都指向同一个HConnectionImplementation,最后会调用connection.incCount()将client reference count加1

  public void close() throws IOException {
if (this.closed) {
return;
}
flushCommits();
if (cleanupPoolOnClose) {
this.pool.shutdown();
}
if (cleanupConnectionOnClose) {
if (nnection != null) {
nnection.close();
}
}
this.closed = true;
}

  HTable close的时候,会先flushCommits,将writerBuffer中的List<Put>一次性通过connection的processBatch方法处理掉,然后进入close connection逻辑,依据也是reference count,先对其减1,当为0或者是过期connection,就会执行close connection并从HBASE_INSTANCES中remove掉。

  关闭步骤:

  1. 关闭HMasterInterface

  2. 关闭一串HRegionInterface

  3. 关闭zookeeper watcher

  HConnectionImplementation connection = HBASE_INSTANCES
          .get(connectionKey);
      if (connection != null) {
        connection.decCount();
        if (connection.isZeroReference() || staleConnection) {
          HBASE_INSTANCES.remove(connectionKey);
          connection.close(stopProxy);
        } else if (stopProxy) {
          connection.stopProxyOnClose(stopProxy);
        }
      }else {
        LOG.error("Connection not found in the list, can't delete it "+
          "(connection key="+connectionKey+"). May be the key was modified?");
      }

  HBaseAdmin内部也是一样,也是reference了一个HConnection,可以认为和HTable是共享HConnection

  分析到这里再联想到之前的报错信息"java.io.IOException: org.apache.Hadoop.hbase.client.HConnectionManager$HConnectionImplementation@b7c96a9 closed",应该是client reference count数的问题,果然在我的HBaseClient代码里面在初始化环节会new一个singleton HBaseClient,里面new一个HBaseAdmin(thread共享),在各个thread启动时候会new 一个threadloca的htable对象

  private HTable getHTable() throws IOException {
  HTable htable = threadLocalHtable.get();
  if (htable == null) {
   htable = new HTable(conf, tableName);
   htable.setAutoFlush(autoFlush);
   htable.setWriteBufferSize(writeBufferSize);
   threadLocalHtable.set(htable);
  }
  return htable;
 }

  但是我的close方法写的有问题,把HBaseAdmin close了很多遍(每个thread close了一次)

  public synchronized void close() throws IOException {
  HTable table = threadLocalHtable.get();
  if (table != null) {
      ?table.close();
    ?    ?    ?    ?    ?table = null;
    ?    ?    ?    ?    ?threadLocalHtable.remove();
  }
  if (admin != null) {
   admin.close();
  }
 }

  假设一种场景,有10个writer线程,那么reference count是11 (10个HTable和1个HBaseAdmin),前5个thread close没问题,第6个thread先close htable,然后发现引用数为0了,它关闭了HConnection,然后再close admin无效,但是其余4个线程这时候有可能在执行flush操作,HConnection既然已经断了,那肯定没办法flush完啊,抛出异常出来

  public void flush() throws IOException {
  if (getPutBuffer().size() > 0) {
   getHTable().put(getPutBuffer());
   clearPutBuffer();
  }
 }

  知道了错误原因后,果断在close HBaseAdmin后,把它指向NULL,这样就不会导致重复关闭的问题了

  if (admin != null) {
   admin.close();
   admin = null;
  }

  这个问题困扰我几天,网上又找不到任何资料,后来还是看了HBase源代码才有新的发现并解决的,看来真碰到问题一定要懂底层代码才行。

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