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df =
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Would you mind changing cast (1) in your description? It threw me off a
little as they looked independent at first glance. Maybe something like:
```
df = spark.range(0, 1).toDF('v') \
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master and executors, upd
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>Hey @BryanCutler, btw, mind if I ask move the benchmarks into the PR
description?
Yeah, I guess it doesn't hurt. I'll copy them there.
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@tdas @marmbrus @jose-torres for review
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[SPARK-24662][SQL][SS] Support limit in structured streaming
## What changes were proposed in this pull request?
Support the LIMIT operator in structured streaming.
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Thank you very much for your help! @BryanCutler
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merged to master, thanks @huaxingao !
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> Are you maybe able to manually test this in other cluster like standalone
or yarn too?
I have tested standalone mode but didn't check yarn though
`YarnClientSchedulerBackend` and
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+1 for @mgaido91's plan
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[SPARK-24685][build] Restore support for building old Hadoop versions of
2.1.
Update the release scripts to build binary packages for older versions
of Hadoop when building Spark 2.1. Also did
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@HyukjinKwon what re-triggered your interest in this PR?
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@foxish @felixcheung gentle ping for merge. I replied for mount paths.
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ping @sethah?
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Super excited to have you take this over @imatiach-msft let me know if I
can be of help.
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Cool, let me know when you get a chance to update the PR @jaceklaskowski :)
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Thanks for the improvement :)
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LGTM merging to master.
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https://amplab.cs.berkeley.edu/jenkins/job/testing-k8s-prb-make-spark-distribution-unified/552/
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