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From "Chen Liang (JIRA)" <j...@apache.org>
Subject [jira] [Created] (HDFS-11419) BlockPlacementPolicyDefault is choosing datanode in an inefficient way
Date Wed, 15 Feb 2017 22:01:41 GMT
Chen Liang created HDFS-11419:
---------------------------------

             Summary: BlockPlacementPolicyDefault is choosing datanode in an inefficient way
                 Key: HDFS-11419
                 URL: https://issues.apache.org/jira/browse/HDFS-11419
             Project: Hadoop HDFS
          Issue Type: Improvement
          Components: namenode
            Reporter: Chen Liang


Currently in {{BlockPlacementPolicyDefault}}, {{chooseTarget}} will end up calling into {{chooseRandom}},
which will first find a random datanode by calling
{code}DatanodeDescriptor chosenNode = chooseDataNode(scope, excludedNodes);{code}, then it
checks whether that returned datanode satisfies storage type requirement
{code}storage = chooseStorage4Block(
              chosenNode, blocksize, results, entry.getKey());{code}
If yes, {{numOfReplicas--;}}, otherwise, the node is added to excluded nodes, and runs the
loop again until {{numOfReplicas}} is down to 0.

A problem here is that, storage type is not being considered only until after a random node
is already returned.  We've seen a case where a cluster has a large number of datanodes, while
only a few satisfy the storage type condition. So, for the most part, this code blindly picks
random datanodes that do not satisfy the storage type, and adds the node to excluded and tries
again and again.

To make matters worse, the way {{NetworkTopology#chooseRandom}} works is that, given a set
of excluded nodes, it first finds a random datanodes, then if it is in excluded nodes set,
try find another random nodes. So the more excluded nodes there are, the more likely a random
node will be in the excluded set, in which case we basically wasted one iteration.

Therefore, this JIRA proposes to augment/modify the relevant classes in a way that datanodes
can be found more efficiently. There are currently two different high level solutions we are
considering:

1. add some field to Node base types to describe the storage type info, and when searching
for a node, we take such field(s) in to account, and do not return node that does not meet
the storage type requirement.

2. change {{NetworkTopology}} class to be aware of storage types: for one storage type, there
is one tree subset that connects all the nodes with that type. And one search happens on only
one such subset. So unexpected storage types are simply in the search space. 

Thanks [~szetszwo] for the offline discussion, and any comments are more than welcome.



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