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@krishnakalyan3 still merge conflicts - could you rebase to current master?
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@@ -33,7 +33,6 @@ object SparkKMeans {
def parseVector(line:
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Github user srowen commented on the issue:
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Please read
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark and
attach this to your JIRA via the title. I fixed some fields in your JIRA
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retest this please
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--- Diff:
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@@ -166,11 +185,11 @@ case class Invoke(
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Can one of the admins verify this patch?
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Github user asfgit closed the pull request at:
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Merged to master/2.0/1.6 to match the original PR
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@WeichenXu123 one last request, how about a quick test case that shows that
the problem you identified initially is fixed?
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With [PR#14012](https://github.com/apache/spark/pull/14012) the order
between deterministic and non-deterministic predicates would not be changed
arbitrarily, so I think we could apply this
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Github user gurvindersingh commented on the issue:
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Changed the path from `target` to `proxy` Let me know if there is anything
else before this PR can be merged.
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Github user yhuai commented on the issue:
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Without a good reason and providing a way  to make lead and lag respect
Bulls, we should not change the behavior.
On Wed, Jul 20, 2016 at 2:04 AM -0700, "Apache
Github user viirya commented on the issue:
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nit: From the code, it is `spark.mesos.driverEnv` but in PR description it
is `spark.mesos.env`.
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--- Diff:
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@@ -582,25 +582,43 @@ private[execution] final class
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--- Diff:
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@@ -0,0 +1,62 @@
+/*
+ * Licensed to the Apache
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@@ -382,7 +382,7 @@ abstract class
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[SPARK-16633] [SPARK-16642] Fixes three issues related to window functions
## What changes were proposed in this pull request?
This PR contains three changes.
First, this PR changes the
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I don't know anything about mesos, but I presume y'all are pretty expert.
Unless anyone else with Mesos knowledge chimes in, and tests pass and all that,
OK to merge.
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cc @yhuai @liancheng
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[SPARK-16645][SQL] rename CatalogStorageFormat.serdeProperties to properties
## What changes were proposed in this pull request?
we also store data source table options in this field,
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Github user WeichenXu123 commented on the issue:
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@srowen
I re-think the code again and maybe my previous idea is wrong. The
intension of author may be to use w[i] / featuresStd[i] to reduce penalty on
large scale dimension (because these
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[SPARK-16628][SQL] Don't convert Orc Metastore tables to datasource tables
if metastore schema does not match schema stored in the files
## What changes were proposed in this pull request?
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It seems due to https://issues.apache.org/jira/browse/LANG-982 I will look
into this deeper
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It's worth double-checking with @holdenk and @dbtsai. I think this is
working as intended since `WeightedLeastSquares` does show multiplying each
feature by sigma. To undo it you'd need to divide
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[SPARK-16644][SQL] Aggregate should not propagate constraints containing
aggregate expressions
## What changes were proposed in this pull request?
aggregate expressions can only be
Github user cloud-fan commented on the issue:
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cc @sameeragarwal @yhuai @liancheng
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@liancheng Thank you!
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@shivaram @felixcheung thanks for the reviews. Will keep the feedbacks in
mind.
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Github user HyukjinKwon commented on the issue:
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Closing this due to HIVE-14294. This will causes SPARK-16632 for normal
parquet reader as well.
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Github user srowen commented on the issue:
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@steveloughran does that look right?
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@liancheng Yea, you are right! After double-checking, the `sparkSchema` is
override later. Thanks for clarifying it!
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Github user lw-lin commented on the issue:
https://github.com/apache/spark/pull/14280
`sed $'...'` works on both Linux & OS X! So let's switch back to `sed`.
@srowen thanks a lot for the `$`!
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Github user jerryshao commented on a diff in the pull request:
https://github.com/apache/spark/pull/14065#discussion_r71481579
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/security/ExecutorDelegationTokenUpdater.scala
---
@@ -107,6 +110,14 @@ private[spark] class
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14274
LGTM
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14271
LGTM
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