* [#configure　Bigdata　配置]

* [#load Load performance] 
    * [#allieload Allie upload]
    * [#pdbjload PDBJ upload]
    * [#uniprotload Uniprot upload]
    * [#ddbjload DDBJ upload]
* [#Sparql  Sparql query performance] 
    * [#alliequery Allie query performance]
    * [#pdbjquery PDBJ query performance]
    * [#uniprotquery Uniprot query performance]
    * [#ddbjquery DDBJ query performance]


=== Bigdata 配置 === #configure

The journal in Bigdata (please refer to [http://sourceforge.net/apps/mediawiki/bigdata/index.php?title=StandaloneGuide] for details.)

The WORM (Write-Once, Read-Many) is the traditional log-structured append only journal. It was designed for very fast write rates and is used to buffer writes for scale-out. This is a good choice for immortal databases where people want access to ALL history. Scaling is to several billions of triples. 

The RW store (Read-Write) supports recycling of allocation slots on the backing file. It may be used as a time-bounded version of an immortal database where history is aged off of the database over time. This is a good choice for standalone workloads where updates are continuously arriving and older database states may be released. The RW store is also less sensitive to data skew because it can reuse B+Tree node and leaf revisions within a commit group on large data set loads. Scaling should be better than the WORM for standalone and could reach to 10B+ triples. The default property file is attachment:RWStore.properties.

In the test we modified the following two important parameters:
{{{
com.bigdata.btree.writeRetentionQueue.capacity=500000
com.bigdata.rdf.sail.BigdataSail.bufferCapacity=1000000
}}}


=== Load Performance === #load

=== Allie upload === #allieload 
 

=== PDBJ upload === #pdbjload 


'''Result:'''

=== Uniprot upload === #uniprotload 

=== DDBJ upload === #ddbjload  


=== Sparql query performance === #Sparql

=== Allie query performance === #alliequery 

=== PDBJ query performance === #pdbjquery 

=== Uniprot query performance === #uniprotquery 

=== DDBJ query performance === #ddbj