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Spark branch 1
**Problem**
MapStatus uses hardcoded value of 2000 partitions to determine if it should
use highly compressed map status. We should make it configurable.
**What
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After enabling option, I've observed small expected latency whenever
starting batch per each partition per each batch. Median/average was 4~50 ms
for my case, but max latency was a bit higher
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@kiszk @jerryshao @srowen Added `s` (and even more scaladoc). Thanks for
reviewing (and hopefully merging right after :))!
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If needed, I can propose a draft version of
[SPARK-13998](https://issues.apache.org/jira/browse/SPARK-13998) implemented on
top of this work.
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@felixcheung rebased to master and fixed failing unit tests
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@squito For PeakMemoryMetrics in api.scala, changing to the array gives
REST API output of:
"peakMemoryMetrics" : {
"metrics" : [ 755008624, 100519936, 0, 0, 47962185, 0,
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you're right @jerryshao, thanks. The reason why I didn't do a general fix
on first instance was that this would apply also to the metrics and I was not
it was right. But thinking more carefully
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@kiszk Seems good to me. I will go to create and use those APIs in pieces
of PRs.
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--- Diff: python/pyspark/ml/feature.py ---
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HasInputCol, HasOutputCol, JavaMLReadabl
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[SPARK-24515][CORE] No need to warning when output commit coordination
enabled
## What changes were proposed in this pull request?
No need to warning user when output commit coordination
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Finally, I made it work by adding `StopWordsRemover.getDefaultLocale`! How
about this approach? @mengxr @viirya
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[SPARK-24513][ML] Attribute support in UnaryTransformer
## What changes were proposed in this pull request?
This PR adds Metadata support in `UnaryTransformer`, as a preliminary work
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