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https://issues.apache.org/jira/browse/JENA-624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14998654#comment-14998654
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ASF GitHub Bot commented on JENA-624:
-------------------------------------

Github user ajs6f commented on a diff in the pull request:

    https://github.com/apache/jena/pull/94#discussion_r44411038
  
    --- Diff: jena-arq/src/main/java/org/apache/jena/query/DatasetFactory.java 
---
    @@ -16,253 +16,226 @@
      * limitations under the License.
      */
     
    -package org.apache.jena.query ;
    -
    --- End diff --
    
    See your comment 
[here](https://mail-archives.apache.org/mod_mbox/jena-dev/201510.mbox/%3C5610F36D.8090602%40apache.org%3E)
 about "other clearing up of DatasetFactory ...", although I'm not sure why Git 
created the diff in this confusing way.


> 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: gsoc, gsoc2015, 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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