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https://issues.apache.org/jira/browse/JENA-624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15005926#comment-15005926
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ASF GitHub Bot commented on JENA-624:
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GitHub user ajs6f opened a pull request:
https://github.com/apache/jena/pull/98
Fix for ordering problem in JENA-624
Introduces new ordering methods `PMapTripleTable::triple` and
`PMapQuadTable::quad` to provide correct ordering in the construction of tuples
for query results.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ajs6f/jena FixJena624
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/jena/pull/98.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #98
----
commit e94c2bfada08b66375e811d899fb2d041520dff7
Author: ajs6f <[email protected]>
Date: 2015-11-15T15:12:40Z
Fix for ordering problem in JENA-624
----
> 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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