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https://issues.apache.org/jira/browse/JENA-624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15033684#comment-15033684
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A. Soroka commented on JENA-624:
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Re: multiple invocations of {{end}}:

The code for which you are looking is in 
{{LockMRPlusSW::leaveCriticalSection}}. It's {{if (isHeldByCurrentThread()) 
unlock();}}. I believe that the sequence you outline is safe. If you like I can 
add a test for that to demonstrate it. Would that be good? Or are you saying 
that the interaction with threads doesn't belong in {{LockMRPlusSW}} but in 
{{DatasetGraphInMemory}}, as you outline?

Re: lock exposure: 

I'm not sure I understand. Are you suggesting that there should be a fresh lock 
associated to each transaction? Or a single dataset-wide lock that is used by 
transactions? I'm a little confused about your remark "The lock may (dubiously) 
be protecting other code but is not MRSW safe." The lock in question is 
{{LockMRPlusSW}}, which is very much designed to be MRSW safe, although of 
course there are always bugs!

> Develop a new in-memory RDF Dataset implementation
> --------------------------------------------------
>
>                 Key: JENA-624
>                 URL: https://issues.apache.org/jira/browse/JENA-624
>             Project: Apache Jena
>          Issue Type: Improvement
>            Reporter: Andy Seaborne
>            Assignee: A. Soroka
>              Labels: java, linked_data, rdf
>
> The current (Jan 2014) Jena in-memory dataset uses a general purpose 
> container that works for any storage technology for graphs together with 
> in-memory graphs.  
> This project would develop a new implementation design specifically for RDF 
> datasets (triples and quads) and efficient SPARQL execution, for example, 
> using multi-core parallel operations and/or multi-version concurrent 
> datastructures to maximise true parallel operation.
> This is a system project suitable for someone interested in datatbase 
> implementation, datastructure design and implementation, operating systems or 
> distributed systems.
> Note that TDB can operate in-memory using a simulated disk with 
> copy-in/copy-out semantics for disk-level operations.  It is for faithful 
> testing TDB infrastructure and is not designed performance, general in-memory 
> use or use at scale.  While lesson may be learnt from that system, TDB 
> in-memory is not the answer here.



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