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LGTM, merging to master and branch-2.0. Thanks!
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Github user kiszk commented on the issue:
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Oh, you are right. IMHO, it is too complex to introduce new implementation
classes only for a column vector with the same value in all of the rows.
To introduce compression schemes, as implemented
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Merging to master and branch-2.0. Thanks!
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Github user shivaram commented on the issue:
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I don't know what could cause this - Do we have the beginning of the string
? My guess is `MapPartitions` or one of the nodes in the plan is calling
`toString` on a byte Array that contains some R
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Github user GayathriMurali commented on the issue:
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@yanboliang Please let me know if there is anything else I can do to get
this merged.
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Github user GayathriMurali commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -1092,14 +1095,11 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer`
Github user cloud-fan commented on the issue:
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OK now I agree this is a useful API.
For performance, I would expect that
`ds.groupByKey(_._1).mapValues(_._2).mapGroups { case (k, vs) => (k, vs.sum) }`
should be at least as fast as
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Do you know what exactly caused this ?
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Hi @shivaram , hi @sun-rui ,
Surprisingly the `dataframe.queyExection.toString` both for dapply and
gapply is prepended by a huge array, which I'm not able to understand. It seems
that recent
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LGTM, cc @andrewor14 for final sign off
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--- Diff:
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Jenkins retest this please
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[WIP][SPARK-15472][SQL] Add support for writing in `csv`, `json`, `text`
formats in Structured Streaming
## What changes were proposed in this pull request?
This patch adds support for
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Github user koertkuipers commented on the issue:
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can you explain a bit what is inefficient and would need an optimizer rule?
is it mapValues being called twice? once for the key and then for the new
values?
thanks!
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see this conversation:
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mapGroups is not a
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Can one of the admins verify this patch?
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GitHub user inouehrs opened a pull request:
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[SPARK-15795] [SQL] Enable more optimizations in whole stage codegen when
isNull is a compile-time constant
## What changes were proposed in this pull request?
Whole stage codegen often
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retest this please
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retest this please
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retest this please
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retest it please
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Github user viirya commented on the issue:
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@kiszk BTW, we can't simply do this by `ColumnarBatch.allocate` with
`maxRows=1`. Because we still need to take care of element access. In other
words, from outside, the vector looks like it has the
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GitHub user WeichenXu123 opened a pull request:
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[MINOR] fix typo in documents
## What changes were proposed in this pull request?
I use spell check tools checks typo in spark documents and fix them.
## How was this patch
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@zsxwing Yes sir, a unit test has been added.
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -444,6 +444,7 @@ object SparkSubmit {
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cc @JoshRosen
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[SPARK-15794] Should truncate toString() of very wide schemas
## What changes were proposed in this pull request?
With very wide tables, e.g. thousands of fields, the output is unreadable
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/13517
retest this please
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13517
Test FAILed.
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Test FAILed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13517
Merged build finished. Test FAILed.
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