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package org
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thanks, merging to master!
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thanks @cloud-fan. Sorry, since this seems a bug to me, why this wasn't
backported to branch-2.3 too? Thanks.
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Github user zsxwing commented on the issue:
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I didn't know InMemoryStore doesn't have any index... Just saw the UI is
very slow on a large cluster and it causes read timeout.
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
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IIUC we use index a lot in the UI code, @vanzin is it possible to support
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it's not a very serious bug, I'd like to hold it until 2.3 is released. We
may have it in 2.3.1
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GitHub user gaborgsomogyi opened a pull request:
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[SPARK-23288][SS] Fix output metrics with parquet sink
## What changes were proposed in this pull request?
Output metrics were not filled when parquet sink used.
This PR fixe
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[SPARK-19755][Mesos] Blacklist is always active for
MesosCoarseGrainedSchedulerBackend
## What changes were proposed in this pull request?
This is another variant of https://github.com/apach
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@misutoth, I am sorry. I missed
https://github.com/apache/spark/pull/20618#discussion_r169291756 and discussion
in the JIRA.
@srowen, I was thinking about having the same description pa
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@IgorBerman I actually think that
https://github.com/apache/spark/pull/17619 is the right approach. As @timout
pointed out on that one, this functionality doesn't need to be covered in mesos
specif
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Consistency is good. You're suggesting updating Python, R separately? If
it's a big change, I could see breaking it up, but could also imagine adjusting
that here. I am OK with getting this in first
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@squito In general I agree with you, however current status of hardcoded
max 2 failures is blocking, so I've created simple fix that will demand less
integration testing. I can close it.
I th
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[SPARK-23464][MESOS] Fix mesos cluster scheduler options double-escaping
## What changes were proposed in this pull request?
Don't enclose --conf option value with "", as they are already esca
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Maybe I am too much caring about this and It guess it wouldn't be a big
change; however, I was thinking there might be subtle nits, like, referring
`java.lang.Math*` in Python side and R side wh
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i m not able to open Spark UI on local using localhost:4040
20-02-18 20:54:24:118 [WARN] org.spark_project.jetty.server.HttpChannel
/jobs/ org.spark_project.jetty.server.HttpChannel.handle(Htt
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I understand if you want to do something like this for yourself to unblock,
but I think I'm -1 on merging this because of adding more configs just for a
stopgap.
but I think we agree on the
Github user IgorBerman commented on the issue:
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@squito ok, I can do this small fix to the PR of @timout. How can I update
his PR/his code? Or I can use this one? WDYT?
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@srowen Can you trigger the tests?
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Looking back I guess we can expect a couple of comments on R and Python
side too, though I will target a lower number of them. :) So I am a little bit
favoring moving functions.* update into a sepa
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https://github.com/apache/spark/pull/20618
@HyukjinKwon I think it's fine to refer to `java.lang.Math` even from
Python, R documents. It's just expressing the API's behavior, and that contract
is the same regardless of the language. (Or is th
Github user IgorBerman commented on the issue:
https://github.com/apache/spark/pull/20640
@squito updated
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20640
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Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/20387
Thanks for all your help getting this committed, @cloud-fan!
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Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/20642
@AtulKumVerma please close this PR. You can ask questions in the user list
or on stack overflow.
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Github user AmplabJenkins commented on the issue:
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