I store the 1.4B triples in two steps. Firstly, I made 886 rdf files, each of
which contains 1615837 triples. Then, I upload them into TDB using Fuseki.
This is a huge job. Are you sure that named graphs have better performance?
Then how to build named graphs?
On 12/7/2018 23:48，Vincent Ventresque<vincent.ventres...@ens-lyon.fr> wrote：
Do you mean -Xms = 64G ?
N.B. : with 1.4 B triples, you should have better performance using
named graphs.
Le 07/12/2018 à 16:37, 胡云苹 a écrit :
My memory is 64G and my setting is no upper limit.
On 12/7/2018 23:34，Vincent Ventresque<vincent.ventres...@ens-lyon.fr>
<mailto:vincent.ventres...@ens-lyon.fr> wrote：
Hello
How do you run fuseki? you can increase java memory limit with
java options :
java -jar -Xms4096m -Xmx4096m fuseki-server.jar
(where 4096m = 4 Go, but could be 8192m or more)
N.B. : I'm not a specialist, don't know if -Xms and -Xmx must be
the same
If I remember correctly the memory limit is 1.2 Go when you run
'./fuseki start' or './fuseki-server'
Vincent
Le 07/12/2018 à 16:23, 胡云苹 a écrit :
Dear jena,
I have built a graph with 1.4 billion triples and store it as a
data set in TDB through Fuseki upload system. Now, I try to make
some sparql search, the speed is very slow.
For example, when I make the sqarql in Fuseki in the following,
it takes 50 seconds. How can I improve the speed?
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