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https://issues.apache.org/jira/browse/HDFS-15553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17218440#comment-17218440
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Xiaoyu Yao commented on HDFS-15553:
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bq. Do you see the queue overflow message in the NN log? The fixed queue size
of 1024 may not be ideal.
[~kihwal] I've seen the block report queue (default =1024) got full frequently
on larger cluster with thousands of datanodes. This could leads to IBR all
blocked on queue add. This could exhaust service RPC handler threads and make
DN losing heartbeats.
In addition to increase dfs.namenode.blockreport.queue.size, adjust
dfs.blockreport.incremental.intervalMsec and dfs.blockreport.split.threshold
should also help. With regard to increase dfs.namenode.blockreport.queue.size,
can you share some of the details such as the scale of the cluster and the
value being used/tested? Thanks!
> Improve NameNode RPC throughput with ReadWriteRpcCallQueue
> -----------------------------------------------------------
>
> Key: HDFS-15553
> URL: https://issues.apache.org/jira/browse/HDFS-15553
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: namenode
> Reporter: Wang, Xinglong
> Priority: Major
>
> *Current*
> In our production cluster, a typical traffic model is read to write raito is
> 10:1 and sometimes the ratios goes to 30:1.
> NameNode is using ReEntrantReadWriteLock under the hood of FSNamesystemLock.
> Read lock is shared lock while write lock is exclusive lock.
> Read RPC and Write RPC comes randomly to namenode. This makes read and write
> mixed up. And then only a small fraction of read can really share their read
> lock.
> Currently we have default callqueue and faircallqueue. And we can
> refreshCallQueue on the fly. This opens room to design new call queue.
> *Idea*
> If we reorder the rpc call in callqueue to group read rpc together and write
> rpc together, we will have sort of control to let a batch of read rpc come to
> handlers together and possibly share the same read lock. Thus we can reduce
> Fragments of read locks.
> This will only improve the chance to share the read lock among the batch of
> read rpc due to there are some namenode internal write lock is out of call
> queue.
> Under ReEntrantReadWriteLock, there is a queue to manage threads asking for
> locks. We can give an example.
> R: stands for read rpc
> W: stands for write rpc
> e.g
> RRRRWRRRRWRRRRWRRRRWRRRRWRRRRWRRRRWRRRRW
> In this case, we need 16 lock timeslice.
> optimized
> RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRWWWWWWWW
> In this case, we only need 9 lock timeslice.
> *Correctness*
> Since the execution order of any 2 concurrent or queued rpc in namenode is
> not guaranteed. We can reorder the rpc in callqueue into read group and write
> group. And then dequeue from these 2 queues by a designed strategy. let's say
> dequeue 100 read and then dequeue 5 write rpc and then dequeue read again and
> then write again.
> Since FairCallQueue also does rpc call reorder in callqueue, for this part I
> think they share the same logic to guarantee rpc result correctness.
> *Performance*
> In test environment, we can see a 15% - 20% NameNode RPC throughput
> improvement comparing with default callqueue.
> Test traffic is 30 read:3 write :1 list using NNLoadGeneratorMR
> This performance is not a surprise. Due to some write rpc is not managed in
> callqueue. We can't do reorder to them by reording calls in callqueue.
> But still we can do a fully read write reorder if we redesign
> ReEntrantReadWriteLock to achieve this. This will be further step after this.
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