Github user felixcheung commented on the issue:
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merged to master/2.2
I talked to Ankur about this change offline.
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Github user dding3 commented on the issue:
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OK, agreed. If user didn't set checkpointer directory while we turn on
checkpoint in pregel by default, there may be exception. I will change
spark.graphx.pregel.checkpointInterval to -1 as default v
Github user felixcheung commented on the issue:
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@dding3 @mallman one last thing to consider, with this PR we are having
`spark.graphx.pregel.checkpointInterval`
defaulting to 10. This changes the existing behavior (where ther
Github user felixcheung commented on the issue:
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thanks @mallman I'll digest this and see what improvements we could make in
gf.
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Github user mallman commented on the issue:
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> I think we want to bring GraphFrames to feature/performance parity with
GraphX - @mallman would love to understand the challenges you have run into.
Better yet, would be great to get some issues c
Github user felixcheung commented on the issue:
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I think we want to bring GraphFrames to feature/performance parity with
GraphX - @mallman would love to understand the challenges you have run into.
Better yet, would be great to get some issues
Github user felixcheung commented on the issue:
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I didn't forget about this ;) I was hoping others could review.
I will do another pass today - I believe at this point we have quorum with
the number of reviewers who have looked at this PR.
Github user mallman commented on the issue:
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> Yeah, catch-22. I'd also like to split out graphx, but I sorta think
that's what's already happened with GraphFrames. I don't feel strongly enough
to campaign for it, but think graphx should proba
Github user srowen commented on the issue:
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Yeah, catch-22. I'd also like to split out graphx, but I sorta think that's
what's already happened with GraphFrames. I don't feel strongly enough to
campaign for it, but think graphx should probably
Github user mallman commented on the issue:
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> I feel like i really don't know anything about graphx and can't evaluate
this. It seems reasonable. I don't know if graphx is really active at this
stage?
Understood. Let me respond to yo
Github user srowen commented on the issue:
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I feel like i really don't know anything about graphx and can't evaluate
this. It seems reasonable. I don't know if graphx is really active at this
stage?
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Github user mallman commented on the issue:
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@srowen Can you merge this PR, please? It's been over a month since we've
heard from any of the reviewers.
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@felixcheung ping
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@felixcheung We haven't heard from @jkbradley or @ankurdave in a week.
Should we give them more time or can we merge to master?
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@jkbradley @ankurdave would you like to review?
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@felixcheung Can you take another look and merge if LGTY? I think we've
addressed all of the open reviewer requests.
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@dding3, thank you for your continued patience and dedication to this PR,
despite the continued change requests. We are getting closer to a merge.
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LGTM. @felixcheung are we good to merge?
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Github user mallman commented on the issue:
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@dding3 I submitted a PR against your `cp2_pregel` branch. If you merge
that PR into your branch, it will be reflected in this PR. This is my PR:
https://github.com/dding3/spark/pull/1.
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Github user dding3 commented on the issue:
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Both are OK for me. Please let me know if any update needed from me.
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> I think @mallman is saying he would merge changes to @dding3 branch
Yes, or I could do them in a follow up PR. Or @dding3 could do them without
my PR. I'm not hung up on getting credit.
Github user felixcheung commented on the issue:
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I think @mallman is saying he would merge changes to @dding3 branch
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@mallman Looks good to me. Wait for any committers to check this further.
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Our connected components computation completed successfully, with
performance as expected. I've created a PR against @dding3's PR branch to
incorporate a couple simple things. Then I think we're goo
Github user mallman commented on the issue:
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@dding3 These latest changes look great. I'll run our big connected
components job today and report back.
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Thank you guys for reviewing the code. I have updated it based on the
comments.
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@viirya @dding3 I'm going to rerun our big connected components computation
with the changes I've suggested to validate that it still performs and
completes as expected. Given the time required to c
Github user viirya commented on the issue:
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@mallman Thanks for ping me on this. The changes looks good to me overall.
The most issue might be as @srowen said, I don't know if this is actively
maintained still.
I saw most recently com
Github user srowen commented on the issue:
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I don't know. @ankurdave ? I am not sure this is being maintained in any
meaningful sense now.
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LGTM. @srowen, can you recommend an mllib committer to review these
changes? I'm not familiar with that team.
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Sure. I will work on the rebase and update the PR soon.
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Hi @dding3. Thanks for working on this! I was able to rebase and apply your
patch to our build of Spark 2.1 to successfully compute the connected
components of a graph with 5.2 billion vertices, 3.7
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