Nigel, thanks for pointing out server side vs client side considerations. On 18 Jun 2014, at 21:22, Nigel Small <ni...@nigelsmall.com> wrote:
> Hi Gareth > > All of py2neo's features use the Neo4j REST interface, both for Cypher and > for its other functions. The main difference concerns where the application > logic exists: on the server or on the client. > > With Cypher, all the logic is encapsulated within the language itself and > will be processed server-side; this is generally pretty fast. While some > optimisations exist for the other functions, the logic will generally occur > on the client and one or more calls will need to be made to the server on > each step; you will have slightly more control with this method but it will > generally be slower. > > Assuming performance is your priority, I would therefore recommend using > Cypher wherever possible and only resorting to other functions if you really > need to. > > Hope this helps > Nigel > > PS: glad you had some success with py2neo :-) > > On 18 Jun 2014 13:44, "Shongololo" <garethsim...@gmail.com> wrote: > Hi Nigel, > > Out of curiosity - it appears that your py2neo works quite seamlessly with > Cypher by using the append / execute / commit steps. (I actually ended up > loading in my data using py2neo's Cypher module.) I would appreciate your > take on py2neo's Cypher implementation vs. py2neo's non-Cypher implementation > for speed and flexibility? (It appears that the Cypher module has a method > Record for capturing query results?) > > Thanks, > Gareth > > On Tuesday, June 17, 2014 11:04:53 PM UTC+1, Nigel Small wrote: > Hi Gareth > > As you identify, there are certainly some differences in terms of performance > and feature set that you get when working with Neo4j under different > programming languages. Depending on your background, constraints and > integration needs, you could consider a hybrid approach whereby you continue > working with Python for your main application and build anything that > requires serious performance as a server extension in Java. Neo4j plugin > support is pretty comprehensive: for example, my server extension load2neo > provides a facility to bulk load data but also has direct support from my > Python driver, py2neo. This approach is somewhat analogous to compiling a C > extension in Python and could be done as an optimisation step once you have > built your end-to-end application logic. > > Bear in mind also that Cypher is very powerful these days. It would certainly > be worth exploring some of its more recent capabilities before choosing an > architectural path as you may find there is little that cannot already be > achieved purely with Cypher. If this is the case, your choice of application > language could then become far less critical. > > I'd suggest beginning with a prototype in a language you are comfortable > with. Then, build a suite of queries you need to run and ascertain the > bottlenecks or missing features. Once you have a list of these, you can then > make an informed decision on which pieces to optimise. > > Kind regards > Nigel > > > On 17 June 2014 15:42, Shongololo <gareth...@gmail.com> wrote: > I am preparing a Neo4j database on which I would like to do some network > analysis. It is a representation of a weakly connected and static physical > system, and will have in the region of 50 million nodes where, lets say, > about 50 nodes will connect to a parent node, which in turn is linked (think > streets and intersections) to a network of other parent nodes. > > For most of the analysis, I will be using a weighted distance decay, so > analysis of things like "betweenness" or "centrality" will be computed for > the parent node network, but only to a limited extent. So, for example, if > (a)--(b)--(c)--(d)--(e), then the computation will only be based up to, say, > two steps away. So (a) will consider (b) and (c), whereas (c) will consider > two steps in either direction. > > My question is a conceptual and strategic one: What is the best approach for > doing this kind of analysis with neo4j? > > I currently work with Python, but it appears that for speed, flexibility, and > use of complex graph algorithms, I am better off working with the embedded > Java API for direct and powerful access to the graph? Or is an approach using > something like bulb flow with gremlin also feasible? How does the power and > flexibility of the different embedded tools compare - e.g. Python embedded > vs. Java vs. Node.js? > > Thanks. > > > -- > 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 neo4j+un...@googlegroups.com. > 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 neo4j+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. > > -- > 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/9jEKoNHQUAQ/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > neo4j+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "Neo4j" group. 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