Github user mengxr commented on the issue:
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Merged into master. Thanks for review!
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GitHub user wmellouli opened a pull request:
https://github.com/apache/spark/pull/22332
[SPARK-25333][SQL] Ability add new columns in the beginning of Dataset
## What changes were proposed in this pull request?
When we add new columns in a Dataset, they are added
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Github user skonto commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -164,7 +164,15 @@ private[spark] class SparkSubmit extends Logging {
Github user mengxr commented on a diff in the pull request:
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Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/22112
also thanks for adding the test cases, did you have to run that many times
to reproduce?
One thing to note for others is you have to have external shuffle off. I
haven't been able to
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@@ -47,7 +47,7 @@ private[spark] abstract class StreamFileInputFormat[T]
Github user srowen commented on a diff in the pull request:
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Github user tgravescs commented on the issue:
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ok for anyone else trying, I was able to reproduce this consistently with
the following code, adding in more repartitions. I have blacklisting, dynamic
allocation, and external shuffle service
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Github user shrutig commented on the issue:
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@dbtsai @vanzin
What we are trying to achieve is to make Spark work with plain Kerberos
authentication.
We `login user from keytab` at the startup of driver and executors and then
use
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/21721
Given the uncertainty about how this works across batch, streaming, and CP,
and given we are still flushing out the main APIs, I think we should revert
this, and revisit when the main APIs are done.
Github user dhruve commented on a diff in the pull request:
https://github.com/apache/spark/pull/22288#discussion_r215036162
--- Diff:
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@@ -414,9 +425,54 @@ private[spark] class TaskSchedulerImpl(
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Github user NiharS commented on the issue:
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I believe this is another glitch, not from my changes. Could someone retest
this please?
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--- Diff:
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@@ -1208,9 +1208,38 @@ object PushPredicateThroughJoin
Github user imatiach-msft commented on a diff in the pull request:
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--- Diff: data/mllib/images/images/license.txt ---
@@ -0,0 +1,13 @@
+The images in the folder "kittens" are under the creative commons CC0
Github user skonto commented on a diff in the pull request:
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@@ -0,0 +1,186 @@
Github user dongjoon-hyun commented on the issue:
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Although this will give us a different Kryo version (not Hive, ORC), the
newly added test cases show the benefit clearly. Also, I checked two new test
cases with/without this PR. It looks
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -47,7 +47,7 @@ private[spark] abstract class
Github user jaceklaskowski commented on the issue:
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Why not `select($"*", newColumnHere)` or `select(newColumnHere, $"*")`?
Somehow I don't think the use case merits overloading `withColumn`.
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I think that if we want to introduce a new method for this, it'd be better
to have a `atPosition` parameter, rather than a boolean to chose the location.
It'd be more general.
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Github user imatiach-msft commented on the issue:
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@mhamilton723 could you take a look at this PR? Mark added some
performance improvements in MMLSpark that we wanted to merge in and he also
added support for streaming (this was one of the
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Github user dongjoon-hyun commented on the issue:
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And, @wangyum . Please add `[SPARK-25258]` to the PR title like
`[SPARK-25258][SPARK-23131][SPARK-25176]`. SPARK-23131 is the one you created
for this PR.
Also, the PR description
Github user srowen commented on the issue:
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Hm, still need one MiMa exclusion:
```
[error] * the type hierarchy of object
org.apache.spark.sql.expressions.UserDefinedFunction is different in current
version. Missing types
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/22138
Thanks for your PR. This is really a big change. It will need very careful
review as it changes a lot of critical code path and the current Kafka consumer
logic is really complicated. Let's hold
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The previous failures are irrelevant to this PR.
-
org.apache.spark.sql.execution.streaming.HDFSMetadataLogSuite.HDFSMetadataLog:
metadata directory collision
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--- Diff: python/pyspark/sql/session.py ---
@@ -252,6 +252,16 @@ def newSession(self):
"""
return self.__class__(self._sc,
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--- Diff: python/pyspark/sql/session.py ---
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"""
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Retest this please.
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package
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Github user hindog commented on the issue:
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I believe another performance impact related to this may be attributed to
the `cast` operator failing to match during filter-pushdown, meaning that the
filter on the timestamp will NOT get pushed
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retest this please
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