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@andrewor14 I've fixed what you issue. Please review and merge this.
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Github user andrewor14 commented on the pull request:
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LGTM I'm merging this finally thanks everyone.
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Github user jongyoul commented on the pull request:
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I've rebased it from current master at first.
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Jenkins, retest this please.
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Github user andrewor14 commented on the pull request:
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Should we reuse the existing `spark.executor.cores` property? It would be
good to make all the cluster managers use a consistent configuration than to
introduce a
Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackend.scala
---
@@ -67,6 +67,8 @@ private[spark] class
Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
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---
@@ -233,9 +234,7 @@ private[spark] class
Github user andrewor14 commented on the pull request:
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I talked to @sryza and @tnachen offline about the potential sources of
confusion here. It seems that this code used to mistakenly use
`spark.task.cpus` as the number
Github user andrewor14 commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,16 @@ See the [configuration page](configuration.html) for
information on Spark config
/td
Github user andrewor14 commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,16 @@ See the [configuration page](configuration.html) for
information on Spark config
/td
Github user jongyoul commented on the pull request:
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@andrewor14 Thanks for overall reviewing. I'll handle what you issue.
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Github user sryza commented on the pull request:
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@andrewor14 this was a concern I had as well, and there's a long discussion
above. The reason for not using `spark.executor.cores` is that the property
introduced here
Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackend.scala
---
@@ -220,10 +222,9 @@ private[spark] class
Github user andrewor14 commented on the pull request:
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@sryza @tnachen just so I understand, doesn't `spark.mesos.executor.cores`
refer to the number of cores used by the Spark executor launched to run a given
task? Why
Github user sryza commented on the pull request:
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My understanding based on the discussion here is that
`spark.mesos.executor.cores` is the number of cores reserved by an executor
*not* for use in running tasks. So if
Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-93105439
What @sryza is correct. spark.mesos.executor.cores is different than
spark.executor.cores, as it's only the cpu cores used for the mesos executor,
which is used to
Github user jongyoul commented on a diff in the pull request:
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--- Diff:
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@@ -220,10 +222,9 @@ private[spark] class
Github user tnachen commented on the pull request:
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@andrewor14 do you think you can merge this?
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Github user jongyoul commented on the pull request:
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@sryza Could you please merge this PR for spark 1.3.1?
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Github user sryza commented on the pull request:
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LGTM
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Github user jongyoul commented on the pull request:
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@sryza I hope this will be a final review :-) I'm sorry for making a typo
again and again.
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@sryza Review it again, please.
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One minor nit and otherwise LGTM.
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Github user sryza commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,16 @@ See the [configuration page](configuration.html) for
information on Spark config
/td
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Jenkins, retest this please
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,14 @@ See the [configuration page](configuration.html) for
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/td
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--- Diff: docs/running-on-mesos.md ---
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/td
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@sryza Who Do you know help this build issue? I just edited docs only.
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Jenkins, retest this please
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@tnachen @elyast I've updated it to support fractional number of cores for
executors. Please review this PR. I've tested my cluster. My setting is
```
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,14 @@ See the [configuration page](configuration.html) for
information on Spark config
/td
Github user sryza commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -211,6 +211,14 @@ See the [configuration page](configuration.html) for
information on Spark config
/td
Github user elyast commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-86113945
@jongyoul looks good to me thanks :)
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Github user sryza commented on the pull request:
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Had some doc comments, but after they're fixed this LGTM.
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Github user jongyoul commented on the pull request:
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I've rebased from master. Don't mind that I have a mistake to write a
commit log which I've worked another issue.
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Jenkins, retest this please
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Jenkins, retest this please
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Github user jongyoul commented on the pull request:
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@elyast @tnachen Do you think `CPUS_PER_TASK` also support fractional
value? If it's not, I may be support executorCores as fractional value without
huge changes.
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Github user elyast commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85594000
@jongyoul @tnachen imho its fine if CPU_PER_TASK will remain Integers,
however if your job is less CPU intensive, that might be beneficial to optimize
it, although I
Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85596738
Yes let's keep CPUS_PER_TASK as is, since it's shared among different
things.
Executor cores I think can still be a double that is only used in
Github user elyast commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85002672
@sryza you can request from Mesos fraction of CPU, however I haven't
realized that we have wrong type in this patch, we should change it to Double
instead of Int.
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Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85096699
@sryza When creating a Mesos Task, one usually define the resources
required for the execution of the task and the resources required to run the
Mesos executor. Again
Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85096806
Fractional is definitely supported, since it's just cpu shares in the end.
We should make it a double
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Github user jongyoul commented on the pull request:
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@tnachen I see.
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Github user elyast commented on the pull request:
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@jongyoul I can try to test it out with allocating CPU to 0, but cannot
promise it will work, otherwise it's just doesn't make much sense imho, I'd
discuss with project
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Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-84712739
I see. So frameworkCores isn't ideal because framework already has a
meaning in the Mesos world. Also, executor already has some inherent
ambiguity because Mesos uses it
Github user elyast commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-84733162
@sryza I don't think it actually need more than a single core, the issue is
you cannot give less than 1 CPU.
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Github user jongyoul commented on the pull request:
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Jekins, retest this please
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I rebased this from master
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Jenkins, retest this please
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Github user sryza commented on the pull request:
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@elyast can you explain what you mean in a little more detail? Are you
saying that the patch somehow enables users to request fractional cores?
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Github user tnachen commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-84272183
@sryza I believe this setting is a bit unique for Mesos. I think it's
better to clarify the terminology here, of what does framework and executor
means for Mesos.
Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-84055432
I'd like to better understand the reason this is needed in Mesos
fine-grained mode. We've talked about eventually adding a fine-grained mode
for YARN as well. So if we
Github user jongyoul commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-84258060
@elyast It's enough to explain why we can set this property. @sryza This
feature exists only in Mesos mode now. How about setting this property
specified in Mesos now,
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