* [#Configure OwlimSE　配置]

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


=== OwlimSE 配置 === #Configure

It is well known that the construction of index can help accelerate the query but make the update slow. In OwlimSE, we make cache-memory = tuple-index-memory, namely, we enable POS/PSO indices but disable PCSOT,PTSOC,SP, PO indices and full-text search. By setting build-pcsot,build-ptsoc,ftsIndexPolicy,enablePredicateList to true or some appropriate value("onCommit", "onStartup" or "onShutdown" for ftsIndexPolicy) we can enable them accordingly.

About OwlimSE index:


{{{
-Xmx60G -Xms30G -Druleset=empty -Dentity-index-size=675000000 -Dcache-memory=20633m  -DenablePredicateList=false -Dtuple-index-memory=20633m -DftsIndexPolicy=never  -Dbuild-pcsot=false -Dbuild-ptsoc=false  -Djournaling=true -Drepository-type=file-repository   -XX:+UseG1GC -XX:+HeapDumpOnOutOfMemoryError -Dentity-id-size=32  

}}}

More information please refer to [http://owlim.ontotext.com/display/OWLIMv43/OWLIM-SE+Configuration] 


=== Load Performance === #load

'''Approach 1:''' 'load' command in the Sesame console application, for files including less than one billion triples. 

Owlim showed that they can not load a billion statements with Owlim in a large file with a load command.


{{{
Operation step (we use Allie as an example):

-- create allie.ttl template:
[togordf@ts01 ~]$ ls ~/.aduna/openrdf-sesame-console/templates/
allie.ttl
---in openrdf-console directory
[togordf@ts01 ~]$ ./console.sh
18:12:24.166 [main] DEBUG info.aduna.platform.PlatformFactory - os.name = linux
18:12:24.171 [main] DEBUG info.aduna.platform.PlatformFactory - Detected Posix platform
Connected to default data directory
Commands end with '.' at the end of a line
Type 'help.' for help
> connect "http://localhost:8080/openrdf-sesame".
Disconnecting from default data directory
Connected to http://localhost:8080/openrdf-sesame
> help create.
Usage:
create <template-name>
  <template-name>   The name of a repository configuration template
> create allie.
> open allie.
Opened repository 'allie'
uniprot> load $PathOfData

}}}

Please refer to [http://owlim.ontotext.com/display/OWLIMv40/OWLIM-SE+Administrative+Tasks]:
In general RDF data can be loaded into a given Sesame repository using the 'load' command in the Sesame console application or directly through the workbench web application. However, neither of these approaches will work when using a very large number of triples, e.g. a billion statements. A common solution would be to convert the RDF data into a line-based RDF format (e.g. N-triples) and then split it into many smaller files (e.g. using the linux command 'split'). This would allow each file to be uploaded separately using either the console or workbench applications. 

'''Approach 2:'''

The idea is from uniprot, which uses owlim as an library as follows:

Basically They have one specific loader program, where there is one java thread that reads the triples into a blocking queue. Then a different number of threads take triples from that queue and insert the data into OWLIM-se (or any other sesame API compatible triplestore). Normally one inserting thread per owlim file-repository fragment. The inserter treads use transactions that commit every half a million statements. The basic is to add statements not files.

    final org.openrdf.model.Statement sesameStatement = getSesameStatement(object);

    //Takes one from the blocking queue filled by the other thread

        connection.add(sesameStatement, graph);

and every millionth statement , do connection.commit();

(Please refer to [https://github.com/JervenBolleman/sesame-loader/] for details)

=== Allie upload === #allieload 

Approach 1:  38 minutes

Approach 2:  28 minutes

=== PDBJ upload === #pdbjload 

Approach 2:  127mins

=== Uniprot upload === #uniprotload 

uniprot.rdf.gz: 3,161,144,451 triples, about 28 hours 

=== DDBJ upload === #ddbjload  



Until the failture Owlim had finished 7,883,140,000 triples within 70.5 hours. 



=== Sparql query performance === 

=== Cell cycle query === #cellquery 


||Query\time(ms) ||time 1 || time 2 || time 3 ||time 4||time 5 ||
||case1 ||111	||116||	109	||109||	112||
||case2 ||6	||6	||6||	6	||6||
||case3 ||2	||2	||2||	2||	2||
||case4 ||156	||148	||151	||148||	149||
||case5 ||416	||574	||404||	401||	433
||case6 ||2182||	2120||	1940||	2245||	2040||
||case7 ||2	||2	||3	||2||	6||
||case8 ||33	||33||	33||	32||	33||
||case9 ||23	||23||	20	||22||	22||
||case10 ||0	||0	||0	||0||	0||
||case11 ||6	||6	||6	||6||	6||
||case12 ||6	||7	||6	||6	||7||
||case13 ||2	||2	||2	||2	||2||
||case14 ||0	||0	||0	||0	||0||
||case15 ||46043	||46334	||45843	||46294	||47640||
||case16 ||X||X||	X||	X||	X||
||case17 ||X||X||	X||	X||	X||
||case18 ||X||X||	X||	X||	X||
||case19 ||13	||14	||13	||14	||14||

note: do not support '''count''' query in case16,17 and 18.

=== Allie query === #alliequery 

||Query\time(ms) ||time 1 || time 2 || time 3 ||time 4||time 5 ||
||case1 ||149||	138||	147||	152||	144||
||case2 ||2036||	1954||	2049||	1959||	1971||
||case3 ||1520||	1484||	1464||	1467||	1490||
||case4 ||36||	37	||40	||38||	41||
||case5 ||380858||	67225	||69009||	68948||	68296||



=== PDBJ query === #pdbjquery 

||Query\time(ms) ||time 1 || time 2 || time 3 ||time 4||time 5 ||
||case1 ||52||	61	||55||	53||	50||
||case2 ||1||	1||	1||	1||	1||
||case3 ||188||	191||	204||	203||	182||
||case4 ||4||	4||	4||	4||	4||


=== Uniprot query === #uniprotquery 


||Query\time(ms) ||time 1 || time 2 || time 3 ||time 4||time 5 ||

||case1 ||305||	295	||405	||864||	711||
||case2 ||349	||400	||312	||470	||898||
||case3 ||440	||460	||674	||500||	1049	||
||case4 ||15	||200	||170	||201	||172||
||case5 ||20	||22||	20||	22||	77||
||case6 ||850266||	605532||	650282||	645702||	612007||
||case7 ||1138731||	446141	||584173	||223218	||482121||
||case8 ||13449	||13617||	502||	482||	13262||
||case9 ||3430	||3166	||673||	639	||3214||
||case10 ||127019||	113550||	958||	1085||	119581||
||case11 ||6669	||6287	||179	||142	||6455||
||case12 ||266	||205	||39	||10	||213||
||case13 ||32	||29	||6	||6	||45||
||case14 ||42	||41||	45	||45||	40||
||case15 ||29112|| 38094||38291||	34950||	67722||
||case16 ||378191||	372805||	375879||	274524||	265025||
||case17 ||6163	||5948	||5828	||5916||	5808||
||case18 ||83955	||8942||	8842||	9025	||8792||

=== DDBJ query === #ddbjquery 
||Query\time(ms) ||time 1 || time 2 || time 3 ||time 4||time 5 ||
||case1 ||26500	||25588	||17118||16823||	15064||
||case2 ||3400	||3437	||3136	||3203	||3365||
||case3 ||3874	||3923	||3556	||3643||	3765||
||case4 ||237	||104	||53	||52||	118||
||case5 ||247	||83	||61||	86||	110
||case6 ||109||	129||	144||	112||	104||
||case7 ||7871	||7646||	3990||	5923||	4577||
||case8 ||16278	||14020	||6991	||11214||	9645||
||case9 ||3640	||2824||	1605	||2314||	1656||
||case10 ||1	||1	||1	||1