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I am going to see what I can come up with. Will post a first version this
morning.
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test this please
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btw, we can fix #13137 in a similar way, that is, we set `val
numParallelism = partialFileStatusInfo.size /
Math.max(sqlConf.parallelPartitionDiscoveryThreshold, 1) + 1`. Thought?
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@@ -298,6 +309,28 @@ trait FileFormat {
}
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: identifier ('.' i
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I guess the byte array of the serialized R function is dumped. Let me find
which commit caused this. I guess something like overriding toString may solve
this
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LGTM, merging to master and branch-2.0. Thanks!
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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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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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@yanboliang Please let me know if there is anything else I can do to get
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--- Diff: docs/ml-features.md ---
@@ -1092,14 +1095,11 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer` tak
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 `ds
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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 co
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LGTM, cc @andrewor14 for final sign off
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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 wr
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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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mapGroups is not a v
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13539
Can one of the admins verify this patch?
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GitHub user inouehrs opened a pull request:
https://github.com/apache/spark/pull/13539
[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 create
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13415
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Github user SparkQA commented on the issue:
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Github user SparkQA commented on the issue:
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/13400
retest this please
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/13415
retest this please
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/13447
retest this please
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13538
Merged build finished. Test PASSed.
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e
Github user SparkQA commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Test PASSed.
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Github user yinxusen commented on the issue:
https://github.com/apache/spark/pull/13536
retest it please
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