http://git-wip-us.apache.org/repos/asf/hbase-site/blob/713d773f/devapidocs/src-html/org/apache/hadoop/hbase/io/asyncfs/FanOutOneBlockAsyncDFSOutput.Callback.html
----------------------------------------------------------------------
diff --git 
a/devapidocs/src-html/org/apache/hadoop/hbase/io/asyncfs/FanOutOneBlockAsyncDFSOutput.Callback.html
 
b/devapidocs/src-html/org/apache/hadoop/hbase/io/asyncfs/FanOutOneBlockAsyncDFSOutput.Callback.html
index de6cb11..dd54dd2 100644
--- 
a/devapidocs/src-html/org/apache/hadoop/hbase/io/asyncfs/FanOutOneBlockAsyncDFSOutput.Callback.html
+++ 
b/devapidocs/src-html/org/apache/hadoop/hbase/io/asyncfs/FanOutOneBlockAsyncDFSOutput.Callback.html
@@ -25,563 +25,558 @@
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 <span class="sourceLineNo">018</span>package 
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org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.HEART_BEAT_SEQNO;<a
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org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.READ_TIMEOUT;<a
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org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper.getStatus;<a
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block.<a name="line.80"></a>
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FanOutOneBlockAsyncDFSOutputHelper} to create. The mainly<a name="line.82"></a>
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WAL, so we only expose a little HDFS configurations in the<a name="line.83"></a>
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util package because we want to make it independent of WAL<a name="line.84"></a>
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to HDFS project finally.<a name="line.85"></a>
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-<span class="sourceLineNo">087</span> * Note that, all connections to datanode 
will run in the same {@link EventLoop} which means we only<a name="line.87"></a>
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we do some blocking operations in {@link #close()} and<a name="line.88"></a>
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#recoverAndClose(CancelableProgressable)} methods, so do not call them inside<a 
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#write(byte[])} {@link #write(byte[], int, int)},<a name="line.90"></a>
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#flush(boolean)}, if you call them outside {@link EventLoop},<a 
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context-switch.<a name="line.92"></a>
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-<span class="sourceLineNo">094</span> * Advantages compare to 
DFSOutputStream:<a name="line.94"></a>
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-<span class="sourceLineNo">096</span> * &lt;li&gt;The fan out mechanism. This 
will reduce the latency.&lt;/li&gt;<a name="line.96"></a>
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also run in the same EventLoop, we could just call write and flush<a 
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generally we only have one thread to do all the things.&lt;/li&gt;<a 
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datanode error. The WAL implementation could open new writer<a 
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netty's ByteBuf management mechanism.&lt;/li&gt;<a name="line.101"></a>
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WAL, so we only expose a little HDFS configurations in the<a name="line.82"></a>
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to HDFS project finally.<a name="line.84"></a>
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pipelined flush, i.e, write new data and then flush before the<a 
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implementation is not thread safe, so you should not call its<a 
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DFSOutputStream:<a name="line.90"></a>
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will reduce the latency.&lt;/li&gt;<a name="line.92"></a>
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netty's ByteBuf management mechanism.&lt;/li&gt;<a name="line.95"></a>
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implements AsyncFSOutput {<a name="line.99"></a>
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include the header size and checksum size. So here we set a<a 
name="line.101"></a>
+<span class="sourceLineNo">102</span>  // smaller limit for data size.<a 
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waitingAckQueue.peekFirst();<a name="line.228"></a>
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all pending ack.<a name="line.234"></a>
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errorSupplier.get();<a name="line.236"></a>
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+<span class="sourceLineNo">257</span><a name="line.257"></a>
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+<span class="sourceLineNo">263</span><a name="line.263"></a>
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channelRead0(ChannelHandlerContext ctx, PipelineAckProto ack) throws Exception 
{<a name="line.265"></a>
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ctx.channel().remoteAddress()));<a name="line.269"></a>
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new IOException("Restart response " + reply + " for block " +<a 
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name="line.325"></a>
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+<span class="sourceLineNo">388</span>    int dataLen = 
dataBuf.readableBytes();<a name="line.388"></a>
+<span class="sourceLineNo">389</span>    int chunkLen = 
summer.getBytesPerChecksum();<a name="line.389"></a>
+<span class="sourceLineNo">390</span>    int trailingPartialChunkLen = dataLen 
% chunkLen;<a name="line.390"></a>
+<span class="sourceLineNo">391</span>    int numChecks = dataLen / chunkLen + 
(trailingPartialChunkLen != 0 ? 1 : 0);<a name="line.391"></a>
+<span class="sourceLineNo">392</span>    int checksumLen = numChecks * 
summer.getChecksumSize();<a name="line.392"></a>
+<span class="sourceLineNo">393</span>    ByteBuf checksumBuf = 
alloc.directBuffer(checksumLen);<a name="line.393"></a>
+<span class="sourceLineNo">394</span>    
summer.calculateChunkedSums(dataBuf.nioBuffer(), checksumBuf.nioBuffer(0, 
checksumLen));<a name="line.394"></a>
+<span class="sourceLineNo">395</span>    
checksumBuf.writerIndex(checksumLen);<a name="line.395"></a>
+<span class="sourceLineNo">396</span>    PacketHeader header = new 
PacketHeader(4 + checksumLen + dataLen, nextPacketOffsetInBlock,<a 
name="line.396"></a>
+<span class=

<TRUNCATED>

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