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}
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GitHub user heary-cao opened a pull request:
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[SPARK-21932][SQL]Remove package name similar 'logical.Join' to 'Join' in
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## What changes were proposed in this pull request?
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jenkins, retest this please
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possibly - I think it would be a good idea to leave this to the jenkins
path for now to make sure it works, given how sensitive the CRAN path is
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Github user felixcheung commented on the issue:
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big vote for python and R :)
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re kafka -https://github.com/apache/spark/pull/19134#issuecomment-327180847
- pretty sure that is still needed for DStream - just as any API we shouldn't
just remove it in point releases...
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Merged to master/2.2
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@srowen
Thanks for your reply!We can let users know the theory of the restart of
receiver by this PR.To be honest,the 'else' was redundancy,so I improve it by
logtrace. To say the least,if
Github user facaiy commented on the issue:
https://github.com/apache/spark/pull/17383
Thank you for comment.
Very good question, at least for me, the answer to both questions is no. In
most case, we feed dense raw data into tree model. However, if large dimensions
required,
Github user srowen commented on the issue:
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You haven't actually added tests, and that's not all this PR does. At the
least, this doesn't match the intent you describe, and should be closed. I'd
back up and describe the test you want in the
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@@ -142,7 +142,7 @@ private[v1] object AllStagesResource {
Github user guoxiaolongzte commented on the issue:
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StreamInputInfo data structure:
case class StreamInputInfo(
inputStreamId: Int, **numRecords: Long**, metadata: Map[String, Any] =
Map.empty) {
require(numRecords >= 0,
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Github user heary-cao commented on the issue:
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@srowen Actually, I think this one makes sense. Because the two open test
cases are tested, we connect the Cartesian product and the broadcast nested
loop join. When we understand the two
GitHub user heary-cao reopened a pull request:
https://github.com/apache/spark/pull/19143
[SPARK-21932][SQL]Remove package name similar 'logical.Join' to 'Join' in
JoinSelection
## What changes were proposed in this pull request?
this PR to fix two problemsï¼
1.
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@@ -661,6 +666,10 @@ case class StructsToJson(
Github user srowen commented on the issue:
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@marktab you can either close this or reopen vs branch-2.2
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wait, I'm still looking for it.
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Github user jerryshao commented on the issue:
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Also looks like this is not a Spark 2.2 issue, would you please fix the PR
title be more accurate about the problem?
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Maybe, this seems not a scope on Apache Spark 2.3.0 because it's a debut of
Apache ORC 1.4.0. I'll close this PR. Thank you all for giving advice on this
PR.
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GitHub user klion26 opened a pull request:
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add logic to test whether the complete container has been completed before
## What changes were proposed in this pull request?
Add logic to test whether the complete container has been
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create a issue https://issues.apache.org/jira/browse/SPARK-21933
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I can be sure. I tested streaming on kafka and streaming on sql .Are both
records.
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Github user jerryshao commented on the issue:
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Can you please describe your usage scenario and steps to reproduce your
issue, from my understanding. Did you configure your default FS to a local FS?
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Github user jerryshao commented on the issue:
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Personally I'm not fond of such fix, this will break lots of existing PRs
and force them to rebase again. Usually this could be addressed when fixing
other issues. IMHO I don't encourage such
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okay, do you mean I need to change the title?
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GitHub user guoxiaolongzte opened a pull request:
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Modify the title, 'Records' instead of 'Input Size'
## What changes were proposed in this pull request?
Spark Streaming is processing data should be record, so the title should be
Github user srowen commented on the issue:
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I get it, but I don't think we use the "Records" terminology consistently
in Spark, so not sure this is a worthwhile change.
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What about other components, here you only fixed sql and core module.
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I'm neutral. Once in a while a cleanup seems helpful, not all the time. I
am a little more receptive to people without much contribution history. But
yeah I do not want to review things like this
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Github user jerryshao commented on the issue:
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I see @felixcheung . Since we have a solution to turn off Python Kafka unit
test as mentioned by @vanzin , so it is fine to just mark as deprecated, not
remove the code.
Another thing is
Github user felixcheung commented on the issue:
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ah?
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Merge pull request #1 from apache/master
9.5 update
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was
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jenkins, retest this please
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I don't think this is worthwhile.
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Retest this please
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Github user srowen commented on the issue:
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Actually yeah I see lots of that in the user-facing docs. OK, it's
reasonable. Are you sure it's a # of records?
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@@ -22,24 +22,44 @@ import java.io.Writer
import
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Github user HyukjinKwon commented on the issue:
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@srowen, I am sorry. While investigating
https://issues.apache.org/jira/browse/SPARK-21927 but I just realised I made a
mistake here, though, it looks picking up the correct version for now.
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@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache
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+ * Licensed to the Apache
Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/18538#discussion_r137239478
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/ClusteringEvaluator.scala
---
@@ -0,0 +1,396 @@
+/*
+ * Licensed to the Apache
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