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From "Hairong Kuang (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-1306) DFS Scalability: Reduce the number of getAdditionalBlock RPCs on the namenode
Date Thu, 17 May 2007 18:57:16 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-1306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12496659

Hairong Kuang commented on HADOOP-1306:

Just did a quick look at the patch. Should we make all methods of NetworkTopology not synchronized
after a read/write lock is introduced?

> DFS Scalability: Reduce the number of getAdditionalBlock RPCs on the namenode
> -----------------------------------------------------------------------------
>                 Key: HADOOP-1306
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1306
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: dfs
>            Reporter: dhruba borthakur
>         Attachments: fineGrainLocks3.patch
> One of the most-frequently-invoked RPCs in the namenode is the addBlock() RPC. The DFSClient
uses this RPC to allocate one more block for a file that it is currently operating upon. The
scalability of the namenode will improve if we can decrease the number of addBlock() RPCs.
One idea that we want to discuss here is to make addBlock() return more than one block. This
proposal came out of a discussion I had with Ben Reed. 
> Let's say that addBlock() returns n blocks for the file. The namenode already tracks
these blocks using the pendingCreates data structure. The client guarantees that these n blocks
will be used in order. The client also guarantees that if it cannot use a block (dues to whatever
reason), it will inform the namenode using the abandonBlock() RPC. These RPCs are already
> Another possible optimization : since the namenode has to allocate n blocks for a file,
should it use the same set of datanodes for this set of blocks? My proposal is that if n is
a small number (e.g. 3), it is prudent to allocate the same set of datanodes to host all replicas
for this set of blocks. This will reduce the CPU spent in chooseTargets().

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