Comments (8)
You can create a PR with the fixes you want to backport and we can merge them into main. If the code ends up being identical between main and develop then there shouldn't be any problems. If not then we will need to be a bit more careful when merging main into develop later.
from rdf4j.
The current Implementation in 4.x.x is experimental and I've made some fixes and enhancements in the develop branch.
Those could be backported to 4.x.x but I don't know the correct procedure for doing this.
@hmottestad Could you give some advice here?
from rdf4j.
It could be due to the order by clause that needs to materialize all values in a sorted set.
@JervenBolleman I think you have worked on the persistent sets?
@benherber BTW, you should/could use write batches with 100k triples. It would also be better to use the 5.0.0-SNAPSHOT AS the 4.x.x version hast several bugs in the LmdbStore.
from rdf4j.
It could be due to the order by clause that needs to materialize all values in a sorted set.
@JervenBolleman I think you have worked on the persistent sets?
@benherber BTW, you should/could use write batches with 100k triples. It would also be better to use the 5.0.0-SNAPSHOT AS the 4.x.x version hast several bugs in the LmdbStore.
Ah that would make sense. Oh good to know! Will try it out thanks. Just to confirm, since 5.0.0 is coming down the pipe rather soon, does that mean that the lmdb implementation in 4.x.x will not get future bug fixes?
from rdf4j.
@benherber How do you execute the queries? Are all results materialized?
from rdf4j.
@benherber How do you execute the queries? Are all results materialized?
I just iterate through the result set, counting the number of triples:
try (final TupleQueryResult res = query.evaluate()) {
for (final BindingSet set : res) {
for (final var ignore : set) {
count++;
}
}
}
from rdf4j.
OK, that looks good. Could you investigate the memory usage with VisualVM while running the query?
from rdf4j.
OK, that looks good. Could you investigate the memory usage with VisualVM while running the query?
Yea I'll probably get to doing that later this week if I get the chance. Will update once I do
from rdf4j.
Related Issues (20)
- Fix Elasticsearch tests by downgrading to Java 17 as the latests we test the main and develop status on
- IllegalStateException Node has no parent from ValueExprTripleRef HOT 1
- SPARQLRepository should support custom additional query parameters
- SPARQLConnection size method counts client side instead of server side
- Turtle writer does not respect namespaces in IRIs HOT 3
- Spaces inserted by PropertyPathBuilder cause problems with AllegroGraph HOT 1
- Prefixes are not preserved when parsing and then serializing Turtle
- Improve the handling of legacy config vocabularies
- ShaclSail used over REST API causes ERRORs `Interrupted thread Thread[rdf4j-transaction-0,5,main] but thread is still alive after 1000 ms!` HOT 1
- Workbench error when exploring a password protected repository HOT 1
- Value-Inheritance is not respected as expected in SHACL HOT 5
- LMDB: Implement extensible ID scheme
- FedX - Allow for FedXConfig options to be overriden in repo config templates
- LMDB: Fix GC and record count for deletions
- Support for invalidation of FedX SourceSelectionCache and allow custom implementations
- Merge benchmarks from develop branch into main branch
- GraphPatterns.tp() does not support Triples HOT 1
- server-sprint - AbstractQueryRequestHandler does not close result when an exception is raised
- Backport critical fixes of LmdbStore to 4.x.x
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from rdf4j.