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https://issues.apache.org/jira/browse/BOOKKEEPER-215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13252958#comment-13252958
 ] 

Flavio Junqueira commented on BOOKKEEPER-215:
---------------------------------------------

This is the code for asyncReadEntries:

{noformat}
public void asyncReadEntries(long firstEntry, long lastEntry,
                                 ReadCallback cb, Object ctx) {
        // Little sanity check
        if (firstEntry < 0 || lastEntry > lastAddConfirmed
                || firstEntry > lastEntry) {
            cb.readComplete(BKException.Code.ReadException, this, null, ctx);
            return;
        }

        try {
            new PendingReadOp(this, firstEntry, lastEntry, cb, ctx).initiate();
        } catch (InterruptedException e) {
            cb.readComplete(BKException.Code.InterruptedException, this, null, 
ctx);
        }
    }
{noformat}

initiate() is called form the application thread, right?
                
> Deadlock occurs under high load
> -------------------------------
>
>                 Key: BOOKKEEPER-215
>                 URL: https://issues.apache.org/jira/browse/BOOKKEEPER-215
>             Project: Bookkeeper
>          Issue Type: Bug
>          Components: hedwig-server
>    Affects Versions: 4.1.0
>            Reporter: Aniruddha
>            Priority: Critical
>             Fix For: 4.1.0
>
>         Attachments: BK-215.patch, hedwig_ts.log
>
>
> LedgerHandle uses a Semaphore(opCounterSem) with a default value of 5000 
> permits to implement throttling for outstanding requests. This is causing a 
> deadlock under high load. What I've observed is the following - There are a 
> fixed number of threads created by OrderedSafeExecutor(mainWorkerPool in 
> BookKeeper) and this is used to execute operations by PerChannelBookieClient. 
> Under high load, the bookies are not able to satisfy requests at the rate at 
> which they are being generated. This exhausts all permits in the Semaphore 
> and any further operations block on lh.opCounterSem.acquire(). In this 
> scenario, if the connection to the bookies is shut down, channelDisconnected 
> in PerChannelBookieClient tries to error out all outstanding entries. The 
> errorOutReadKey and errorOutAddKey functions enqueue these operations in the 
> same mainWorkerPool, all threads in which are blocked on acquire. So, 
> handleBookieFailure is never executed and the server stops responding. 
> Blocking operations in a fixed size thread pool doesn't sound quite right. 
> Temporarily, I fixed this by having another ExecutorService for every 
> PerChannelBookieClient and queuing the operations from the errorOut* 
> functions in it, but this is just a quick fix. I feel that the server 
> shouldn't rely on LedgerHandle to throttle connections, but do this itself. 
> Any other ideas on how to fix this? I'd be happy to contribute a patch. 

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