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[SPARK-25132][SQL][FOLLOWUP] Add migration doc for case-insensitive field
resolution when reading from Parquet
## What changes were proposed in this pull request?
#22148 introduces a
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jenkins, retest this, please
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Github user shaneknapp commented on the issue:
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shouldn't be too hard, but it will require some downtime.
On Wed, Dec 5, 2018 at 5:41 AM Sean Owen wrote:
> Ah OK, so all of them were a JVM crash. It would probably be a good
Github user ptkool commented on the issue:
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I'm not sure how this ended up being omitted. `TransposeWindowSuite` will
be fine since it creates a simple optimizer from this rule and a few others.
The new test added to
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thanks,@cloud-fan,@HyukjinKwon
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thanks, merging to master!
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cc @adoron @kiszk @viirya @gatorsmile
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Yes, the 3 cases I pointed that need to handle NaN and -0.0 do not change
the value in `UnsafeRow`.
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Hi @BryanCutler @HyukjinKwon @ueshin , mind taking another look? I think
this is in a good shape. Thanks!
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[SPARK-26021][SQL][followup] only deal with NaN and -0.0 in UnsafeWriter
## What changes were proposed in this pull request?
A followup of https://github.com/apache/spark/pull/23043
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@cloud-fan what about UnsafeRow::setDouble/Float? It doesn't go through the
same flow. Is it not used?
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--- Diff: examples/src/main/r/ml/powerIterationClustering.R ---
@@ -0,0 +1,37 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under
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@@ -265,3 +265,44 @@ Refer to the [R API
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--- Diff: python/pyspark/ml/classification.py ---
@@ -1174,9 +1165,31 @@ def trees(self):
return [DecisionTreeClassificationModel(m) for m
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@dongjoon-hyun Thank you very much for your review. I will make the changes
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True, the test is not that long under light resources. Locally, I saw a
couple seconds difference with the changes I mentioned. The weird thing is the
unmodified test completes after the 11th
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Github user mallman commented on the issue:
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I think I've made my case for this patch as best I can. It does not appear
this PR has unanimous support, but I continue to believe we should merge it to
master. So where do we take it from here?
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Oh, I see. Close this one now.
Please change the title in #23160
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Thanks. I will update the PR title
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Done, thanks @dongjoon-hyun
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Rather than controlling the queue sizes it would be better to limit the max
epoch backlog and fail the query once that threshold is reached. There already
seems to be patch that attempted to
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Github user shahidki31 commented on a diff in the pull request:
https://github.com/apache/spark/pull/23241#discussion_r239219205
--- Diff: core/src/main/scala/org/apache/spark/io/CompressionCodec.scala ---
@@ -197,4 +201,8 @@ class ZStdCompressionCodec(conf: SparkConf) extends
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