Re: [Bigdata-developers] RELEASE 0.83.0

[Bryan T. <br...@sy...>]

Oops.  It looks like a last minute edit broke the build on this.  I am going to tag 0.83.1. Bryan 

> -----Original Message-----
> From: Bryan Thompson [mailto:br...@sy...] 
> Sent: Tuesday, July 27, 2010 5:23 PM
> To: Bigdata Developers
> Subject: [Bigdata-developers] RELEASE 0.83.0
> 
> This is a bigdata (R) snapshot release.  This release is 
> capable of loading 1B triples in under one hour on a 15 node 
> cluster and has been used to load up to 13B triples on the 
> same cluster.  JDK 1.6 is required.
> 
> See [1] for instructions on installing bigdata(R), [2] for 
> the javadoc and [3] and [4] for news, questions, and the 
> latest developments.  For more information about SYSTAP, LLC 
> and bigdata, see [5].
> 
> Please note that we recommend checking out the code from SVN 
> using the tag for this release.  The code will build 
> automatically under eclipse.  You can also build the code 
> using the ant script.  The cluster installer requires the use 
> of the ant script.  You can checkout this release from the 
> following URL:
> 
> 	
> https://bigdata.svn.sourceforge.net/svnroot/bigdata/branches/B
> IGDATA_RELEASE_0_83_0
> 
> This corresponds to revision 3326.
> 
> New features:
> 
> - Inlining XSD numerics, xsd:boolean, or custom datatype extensions
>   into the statement indices.  Inlining provides a smaller footprint
>   and faster queries for data using XSD numeric datatypes.  In order
>   to introduce inlining we were forced to make a change in the
>   physical schema for the RDF database which breaks binary
>   compatibility for existing stores.  The recommended migration path
>   is to export the data and import it into a new bigdata instance.
> 
> - Refactor of the dynamic sharding mechanism for higher performance.
> 
> - The SparseRowStore has been modified to make Unicode primary keys
>   decodable by representing Unicode primary keys using UTF8 rather
>   than Unicode sort keys.  This change also allows the SparseRowStore
>   to work with the JDK collator option which embeds nul bytes into
>   Unicode sort keys.  This change breaks binary compatibility, but
>   there is an option for historical compatibility.
> 
> The roadmap for the next releases include:
> 
> - Query optimizations;
> 
> - Support for high-volume analytic query workloads and SPARQL 
> aggregations;
> 
> - High availability for the journal and the cluster;
> 
> - Simplified deployment, configuration, and administration 
> for clusters.
> 
> For more information, please see the following links:
> 
> [1] http://bigdata.wiki.sourceforge.net/GettingStarted
> [2] http://www.bigdata.com/bigdata/docs/api/
> [3] http://sourceforge.net/projects/bigdata/
> [4] http://www.bigdata.com/blog
> [5] http://www.systap.com/bigdata.htm
> 
> About bigdata: 
> 
> Bigdata(r) is a horizontally-scaled, general purpose storage 
> and computing fabric for ordered data (B+Trees), designed to 
> operate on either a single server or a cluster of commodity 
> hardware. Bigdata(r) uses dynamically partitioned key-range 
> shards in order to remove any realistic scaling limits - in 
> principle, bigdata(r) may be deployed on 10s, 100s, or even 
> thousands of machines and new capacity may be added 
> incrementally without requiring the full reload of all data. 
> The bigdata(r) RDF database supports RDFS and OWL Lite 
> reasoning, high-level query (SPARQL), and datum level provenance. 
> --------------------------------------------------------------
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