Hi Jonathan, this is Jan from ArangoDB.
Thanks for the hint with the LDBC Benchmark. We will have a look if this is a suitable setup for ArangoDB. Quite often these benchmarks are focused on RDF stores but the graph part of ArangoDBs multi model offering is rather following a property graph model. I forwarded the reported bulk load question to our Java specialist. Hope he will find some time to assist here. Please note, that the problem with the “very simple query” wasn’t necessarily on ArangoDB side and was solved by remodeling the data. The user was storing huge binaries in ArangoDB which is possible but its recommended to store it in a way that allows fast queries on the meta data and only access the binary data if necessary. E.g if you store pictures, pdfs or similar blobs, we recommend to store the meta data in collection A and the actual blob in collection B if you want to store both in Arango. Because if you store everything in one big JSON document, a query against it has to access the whole document during runtime -> a lot of unneeded processing -> query runtime increases. The recommended way fro mour side for best performance in these cases is to store meta data in ArangoDB and use a dedicated filesystem for your binary data. Hope that helped. Best, Jan On Tue 9. Jul 2019 at 17:06, Jonathan Ellithorpe <[email protected]> wrote: > Hello All, > > Has anyone worked on an implementation of the LDBC Social Network > Benchmark for ArangoDB? > > I see some folks here evidently struggling with ArangoDB performance on > even very simple queries (e.g. > https://groups.google.com/forum/#!topic/arangodb/sIOQ1xzJSpc), as well as > how to efficiently bulk load graph data (e.g. > https://groups.google.com/forum/#!topic/arangodb/4eI3fvUzDYg). > > An implementation of the above mentioned benchmark should serve nicely to > show how to performantly use ArangoDB and AQL, including the bulk loading > of graph data, besides showing ArangoDB's performance capabilities. > > Jonathan > > > > > -- > You received this message because you are subscribed to the Google Groups > "ArangoDB" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/arangodb/3fa4003d-90c6-4aa9-9e40-d833155c14d0%40googlegroups.com > <https://groups.google.com/d/msgid/arangodb/3fa4003d-90c6-4aa9-9e40-d833155c14d0%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- *Jan Stücke* Head of Communications [email protected] | +49 (0)221 / 2722999-60 *Help us grow the multi-model vision with your review on Gartner Peer Reviews <https://www.gartner.com/reviews/market/operational-dbms/vendor/arangodb>. -- You received this message because you are subscribed to the Google Groups "ArangoDB" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/arangodb/CAL8q3SwV8M%3DFJOY%2Bc-VFo8eMM85j2B%2BJ3VKF5tdJ2%3Dr9GA1z5Q%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
