* [#Configure　Virtuoso　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]


=== Virtuoso 配置 === #Configure

* NumberOfBuffers:  the amount of RAM used by Virtuoso to cache database files. This has a critical performance impact and thus the value should be fairly high for large databases. Exceeding physical memory in this setting will have a significant negative impact. For a database-only server about 65% of available RAM could be configured for database buffers. Each buffer caches one 8K page of data and occupies approximately 8700 bytes of memory.

* MaxCheckpointRemap:to avoid out of memory error, you should make sure the values for the paramaters NumberOfBuffers and MaxCheckpointRemap are not set with the same values.

* AsyncQueueMaxThreads: the size of a pool of extra threads that can be used for query parallelization. This should be set to either 1.5 * the number of cores or 1.5 * the number of core threads; see which works better.

* ThreadsPerQuery: the maximum number of threads a single query will take. This should be set to either the number of cores or the number of core threads; see which works better.

* IndexTreeMaps: the number of mutexes over which control for buffering an index tree is split. This can generally be left at default (256 in normal operation; valid settings are powers of 2 from 2 to 1024), but setting to 64, 128, or 512 may be beneficial. A low number will lead to frequent contention; upwards of 64 will have little contention.

* ThreadCleanupInterval & ResourcesCleanupInterval: Set both to 1 in order to reduce memory leaking.

{{{
NumberOfBuffers          = 6500000
MaxDirtyBuffers          = 5000000
MaxCheckpointRemap       = 1000000
AsyncQueryMaxThreads     = 18
ThreadsPerQuery          = 18
IndexTreeMaps            = 512
ThreadCleanupInterval    = 1
ResourcesCleanupInterval = 1
}}}


Please refer to  attachment:virtuoso.ini.2 for the detailed parameter in the test.

More information please refer to [http://docs.openlinksw.com/virtuoso/databaseadmsrv.html] [http://www.openlinksw.com/weblog/oerling/?id=1665]


=== Load Performance === #load

=== Allie upload === #allieload 


'''Data''': 94,420,989 tripples, n3 format.

* Approach 1:

Load the big file in one stream.


'''Result:'''
 2hours.


Step:

 $ nohup  $VIRTUOSO_HOME/bin/isql 1111 dba dba <$VIRTUOSO_HOME/scripts/load.list.isql &


load.list.isql script:

{{{
log_enable (2);
DB.DBA.TTLP (file_to_string_output('file path'),' ','http://mydbcls.jp', 0);
checkpoint;
}}}
 
* Approach 2:

Use one stream per core (not per core thread). Split the big file into 12 small files(precisely, 13(12+1)files, #linesPerFiles=#totleLines/12).


'''Result''': 46mins22secs.

 
Step 1. load file into ld_dir:

 $nohup  $VIRTUOSO_HOME/bin/isql 1111 dba dba <$VIRTUOSO_HOME/scripts/load.list.isql &

load.list.isql script:
 
{{{
 delete from load_list;
 ld_dir('data directory','x*.rdf.nt','http://allie.dbcls.jp');
 select * from load_list;
}}}


Step 2. upload the file into virtuoso:
 $ nohup  $VIRTUOSO_HOME/bin/isql 1111 dba dba <$VIRTUOSO_HOME/scripts/load.data.isql &

load.data.isql script:

{{{
--record CPU time
select getrusage ()[0] + getrusage ()[1];

rdf_loader_run () &
...(omit 10 times)
rdf_loader_run () &
checkpoint;

-- Record CPU time
select getrusage ()[0] + getrusage ()[1];

}}}



=== PDBJ upload === #pdbjload 


'''Data:''' .rdf.gz, 77878 files, 589,987,335 triples  from [ftp://ftp.pdbj.org/XML/rdf/].

Upload with 12 streams.

'''Result:'''103min31s. 

=== 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