: Tuesday, July 28, 2015 12:05 PM
To: Ulanov, Alexander
Cc: Robin East; dev@spark.apache.org
Subject: Re: Two joins in GraphX Pregel implementation
On 27 Jul 2015, at 16:42, Ulanov, Alexander
alexander.ula...@hp.commailto:alexander.ula...@hp.com wrote:
It seems that the mentioned two joins can
.
Do you know the reason why this improvement is not pushed?
CC’ing Dave
From: Robin East [mailto:robin.e...@xense.co.uk]
Sent: Monday, July 27, 2015 9:11 AM
To: Ulanov, Alexander
Cc: dev@spark.apache.org
Subject: Re: Two joins in GraphX Pregel implementation
Quite possibly - there is a JIRA open
On 27 Jul 2015, at 16:42, Ulanov, Alexander alexander.ula...@hp.com wrote:
It seems that the mentioned two joins can be rewritten as one outer join
You're right. In fact, the outer join can be streamlined further using a
method from GraphOps:
g = g.joinVertices(messages)(vprog).cache()
Then,
Dear Spark developers,
Below is the GraphX Pregel code snippet from
https://spark.apache.org/docs/latest/graphx-programming-guide.html#pregel-api:
(it does not contain caching step):
while (activeMessages 0 i maxIterations) {
// Receive the messages:
27, 2015 8:56 AM
To: Ulanov, Alexander
Cc: dev@spark.apache.org
Subject: Re: Two joins in GraphX Pregel implementation
What happens to this line of code:
messages = g.mapReduceTriplets(sendMsg, mergeMsg, Some((newVerts,
activeDir))).cache()
Part of the Pregel ‘contract’ is that vertices
