Try these http://jexp.de/blog/2017/03/5-tips-tricks-for-fast-batched-updates-of-graph-structures-with-neo4j-and-cypher/
Von meinem iPhone gesendet > Am 07.06.2017 um 01:22 schrieb Matt Luongo <[email protected]>: > > It's been nearly 5 years, so I know longer have this handy (and doubt it > would work with the latest Neo4j, regardless)- sorry! > > -- > Matt Luongo > Software Developer > about.me/luongo > >> On Tue, Jun 6, 2017 at 3:00 AM, Ralph <[email protected]> wrote: >> Hi, >> >> I need something that will load faster than REST bashing ..Please share the >> gist >> >> >>> On Tuesday, July 31, 2012 at 8:24:53 PM UTC+5:30, Matt Luongo wrote: >>> If the data is an initial import for a new database, I think the batch >>> inserter library is the way to go- otherwise Javier's client batching is a >>> great solution. >>> >>> I've also used custom Gremlin over REST to keep the JSON serialization >>> overhead low- if you need something faster than REST batching, let me know >>> and I'll throw together a gist :) >>> >>> - Matt >>> >>>> On Tuesday, July 31, 2012 10:17:35 AM UTC-4, versae wrote: >>>> Ups, the reading of CSV lines should be inside the 'with' block. >>>> >>>>> On Tuesday, July 31, 2012, Javier de la Rosa wrote: >>>>> One option could be use neo4j-rest-client and make transactions for >>>>> nodes and relationships: >>>>> >>>>> >>> import csv >>>>> >>> from neo4jrestclient.client import GraphDatabase >>>>> >>> gdb = GraphDatabase("http://localhost:7474/db/data/";) >>>>> >>> nodes_reader = csv.reader(open('nodes.csv', 'rb')) >>>>> >>> for prop1, prop2, prop3 in nodes_reader: >>>>> ... with gdb.transaction(): >>>>> ... gdb.nodes.create(prop1=prop1, prop2=prop2, prop3=prop3) >>>>> >>>>> And the same for relationships. Or you can even split the transactions >>>>> in several if there are too many nodes. >>>>> >>>>> On Tue, Jul 31, 2012 at 8:07 AM, Fedor Nikitin <[email protected]> >>>>> wrote: >>>>> > Hi, >>>>> > >>>>> > I have big dataset and I want to insert it into clean neo4j database >>>>> > quite >>>>> > fast. >>>>> > So that user wait reasonable time to start working on database. >>>>> > My dataset supposed to be stored as several CSV files (any other format >>>>> > is >>>>> > also OK). >>>>> > >>>>> > Could someone recommends me the best way to do it? >>>>> > >>>>> > I am using Python+neo4j. >>>>> > >>>>> > I tried to load the data node by node, but it is not working for me. >>>>> > It takes too long for my data to be loaded. I am looking for any way to >>>>> > speed it up. >>>>> > >>>>> > Thanks, >>>>> > Fedor >>>>> > >>>>> > >>>>> > >>>>> >>>>> >>>>> >>>>> -- >>>>> Javier de la Rosa >>>>> http://versae.es >>>> >>>> >>>> -- >>>> Javier de la Rosa >>>> http://versae.es >> >> -- >> You received this message because you are subscribed to a topic in the >> Google Groups "Neo4j" group. >> To unsubscribe from this topic, visit >> https://groups.google.com/d/topic/neo4j/36HXPB8VKPk/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> [email protected]. >> For more options, visit https://groups.google.com/d/optout. > > -- > You received this message because you are subscribed to the Google Groups > "Neo4j" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
