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Posted to user@spark.apache.org by Nicolas Paris <ni...@riseup.net> on 2019/09/22 20:17:15 UTC
graphx vs graphframes
hi all
graphframes was intended to replace graphx.
however the former looks not maintained anymore while the latter is
still active.
any thought ?
--
nicolas
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Re: graphx vs graphframes
Posted by Nicolas Paris <ni...@riseup.net>.
Hi Alastair
Cypher support looks like promising and the dev list thread discussion
is interesting.
thanks for your feedback.
On Thu, Oct 17, 2019 at 09:19:28AM +0100, Alastair Green wrote:
> Hi Nicolas,
>
> I was following the current thread on the dev channel about Spark
> Graph, including Cypher support,
>
> http://apache-spark-developers-list.1001551.n3.nabble.com/
> Add-spark-dependency-on-on-org-opencypher-okapi-shade-okapi-td28118.html
>
> and I remembered your post.
>
> Actually, GraphX and GraphFrames are both not being developed actively, so far
> as I can tell.
>
> The only activity on GraphX in the last two years was a fix for Scala 2.13
> functionality: to quote the PR
>
>
> ### Does this PR introduce any user-facing change?
>
> No behavior change at all.
>
> The only activity on GraphFrames since the addition of Pregel support in Scala
> back in December 2018, has been build/test improvements and recent builds
> against 2.4 and 3.0 snapshots. I’m not sure there was a lot of functional
> change before that either.
>
> The efforts to provide graph processing in Spark with the more full-featured
> Cypher query language that you can see in the proposed 3.0 changes discussed in
> the dev list, and the related openCypher/morpheus project (which among many
> other things allows you to cast a Morpheus graph into a GraphX graph) and
> extends the proposed 3.0 changes in a compatible way, are active.
>
> Yrs,
>
> Alastair
>
>
> Alastair Green
>
> Query Languages Standards and Research
>
>
> Neo4j UK Ltd
>
> Union House
> 182-194 Union Street
> London, SE1 0LH
>
>
> +44 795 841 2107
>
>
> On Sun, Sep 22, 2019 at 21:17, Nicolas Paris <ni...@riseup.net> wrote:
>
> hi all
>
> graphframes was intended to replace graphx.
>
> however the former looks not maintained anymore while the latter is
> still active.
>
> any thought ?
> --
> nicolas
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>
>
--
nicolas
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Re: graphx vs graphframes
Posted by Alastair Green <al...@neo4j.com>.
Hi Nicolas,
I was following the current thread on the dev channel about Spark Graph, including Cypher support,
http://apache-spark-developers-list.1001551.n3.nabble.com/Add-spark-dependency-on-on-org-opencypher-okapi-shade-okapi-td28118.html [http://apache-spark-developers-list.1001551.n3.nabble.com/Add-spark-dependency-on-on-org-opencypher-okapi-shade-okapi-td28118.html]
and I remembered your post.
Actually, GraphX and GraphFrames are both not being developed actively, so far as I can tell.
The only activity on GraphX in the last two years was a fix for Scala 2.13 functionality: to quote the PR
### Does this PR introduce any user-facing change?No behavior change at all.
The only activity on GraphFrames since the addition of Pregel support in Scala back in December 2018, has been build/test improvements and recent builds against 2.4 and 3.0 snapshots. I’m not sure there was a lot of functional change before that either.
The efforts to provide graph processing in Spark with the more full-featured Cypher query language that you can see in the proposed 3.0 changes discussed in the dev list, and the related openCypher/morpheus project (which among many other things allows you to cast a Morpheus graph into a GraphX graph) and extends the proposed 3.0 changes in a compatible way, are active.
Yrs,
Alastair
Alastair Green
Query Languages Standards and Research
Neo4j UK Ltd
Union House
182-194 Union Street
London, SE1 0LH
+44 795 841 2107
On Sun, Sep 22, 2019 at 21:17, Nicolas Paris <ni...@riseup.net> wrote:
hi all
graphframes was intended to replace graphx.
however the former looks not maintained anymore while the latter is
still active.
any thought ?
--
nicolas
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To unsubscribe e-mail: user-unsubscribe@spark.apache.org