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https://issues.apache.org/jira/browse/JENA-624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14974263#comment-14974263
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ASF GitHub Bot commented on JENA-624:
-------------------------------------
Github user afs commented on the pull request:
https://github.com/apache/jena/pull/94#issuecomment-151152208
On 26/10/15 13:51, A. Soroka wrote:
> @afs <https://github.com/afs> I can't find any of the unnecessary
> semicolon warnings-- can you give me a pointer?
>
> —
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/jena/pull/94#issuecomment-151139579>.
>
maybe you fixed them but I get:
Unnecessary semicolon DatasetGraphInMemory.java
/jena-arq/src/main/java/org/apache/jena/sparql/core/mem line 191Problem
Unnecessary semicolon DatasetGraphInMemory.java
/jena-arq/src/main/java/org/apache/jena/sparql/core/mem line 195
Unnecessary semicolon PMapTupleTable.java
/jena-arq/src/main/java/org/apache/jena/sparql/core/mem line 69
Unnecessary semicolon TestQuadTableForms.java
/jena-arq/src/test/java/org/apache/jena/sparql/core/mem line 80
Unnecessary semicolon TestTripleTableForms.java
/jena-arq/src/test/java/org/apache/jena/sparql/core/mem line 59
> 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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