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For a query similar to the one in the PR description:
`a.join(b, a("id") === b("id"), "inner").join(c, a("id") === b("id"),
"inner"`
It is interpreted as a cartesian products now.
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Github user rezasafi commented on the issue:
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Previously I opened a WIP PR
[here](https://github.com/apache/spark/pull/21916) and
[here](https://github.com/rezasafi/spark/pull/1). I have applied all the
comments that I received there to this
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cc @dongjoon-hyun
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[SPARK-25583][DOC][BRANCH-2.3]Add history-server related configuration in
the documentation.
## What changes were proposed in this pull request?
This is a follow up PR for the PR,
GitHub user rezasafi opened a pull request:
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[SPARK-24958] Add executors' process tree total memory information to
heartbeat signals.
Spark executors' process tree total memory information can be really
useful. Currently such information
Github user rezasafi commented on the issue:
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I will close this and open the actual Pr shortly. Thank you everyone for
the great reviews.
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`spark.history.fs.endEventReparseChunkSize` and
`spark.history.fs.inProgressOptimization.enabled` exist since `branch-2.4`. So,
this PR lands at master/2.4. If you want to fix some in
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Thanks a lot @dongjoon-hyun
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Thank you, @shahidki31 .
Merged to master.
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Thanks, @HyukjinKwon !
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>> So is there no behavior change if your master specifies only one master?
If user specifies only 1 master then there is no behavioral change.
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LGTM, pending jenkins
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Thanks @mgaido91. Resetting a flag in blocking operators is feasible
solution I think for now to solve this issue that limit operator consumes all
inputs. For current blocking operators, we should
Github user gengliangwang commented on the issue:
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Hi @mridulm ,
it seems that the changes will affect the metrics in `SparkStatusTracker`,
e.g. number of active tasks in `getExecutorInfos` or `getStageInfo` .
Maybe we
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@dongjoon-hyun merged, thank you, did not know how to skip lint rule there.
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@cloud-fan could you please help me with this PR and take it one step
forward?
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This is a regression introduced in 2.3; unfortunately we did not notice it
until now.
On Tue, Oct 2, 2018 at 4:56 AM Shahid wrote:
> Hi @mridulm
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Hi @mridulm , Can't we limit the task information by setting
'spark.ui.retainedTasks' lesser, to avoid OOM? correct me if I am wrong.
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ok to test
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Thanks @gengliangwang I agree with you. Itâs a good change.
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Discuss with @cloud-fan offline. Rename method `benchmark` as
`runBenchmarkSuite`. Also add comment to guide developers to use
`runBenchmark` for each scenario in implementations.
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The idea sounds good to me from a cursory look for now.
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Yea, I will do this week. Sorry I missed the cc in the JIRA.
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cc @HyukjinKwon Can you take a look at this when you have time? Thanks.
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