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Ping @srowen
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[SPARK-25235] [SHELL] Merge the REPL code in Scala 2.11 and 2.12 branches
## What changes were proposed in this pull request?
Using some reflection tricks to merge Scala 2.11 and 2.12
Github user icexelloss commented on the issue:
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@cloud-fan Thanks! I will take a look later today and incorporate this with
my patch.
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Github user MaxGekk commented on the issue:
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> Probably, you'd be better to file separate jira for each function.
> +1 for separate JIRA.
I created the JIRA ticket: https://issues.apache.org/jira/browse/SPARK-25252
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--- Diff: docs/structured-streaming-programming-guide.md ---
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
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try {
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--- Diff: docs/running-on-kubernetes.md ---
@@ -185,6 +185,21 @@ To use a secret through an environment variable use
the following options to the
Github user rxin commented on the issue:
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Yea I'd probably reject this for now, until we see bigger needs for it.
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LGTM pending tests
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private val
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[SPARK-24882][FOLLOWUP] Fix flaky synchronization in Kafka tests.
## What changes were proposed in this pull request?
Fix flaky synchronization in Kafka tests - we need to use the scan
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retest this please
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Github user dongjoon-hyun commented on the issue:
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Thanks. I got it. Definitely, it's irrelevant to this and an intentional
regression due to that reverting.
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Yeah, I like that idea. Just compute it on initializing the model.
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cc @icexelloss @HyukjinKwon @rdblue
@icexelloss feel free to take this over and verify if it can pass the tests
you added in #22104 , thanks!
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[WIP][SPARK-24721][SPARK-25213][SQL] extract python UDF at the end of
optimizer
## What changes were proposed in this pull request?
In https://github.com/apache/spark/pull/12127 , we
Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/21976
just an fyi, the other jira is
https://issues.apache.org/jira/browse/SPARK-25250, its related to a race with
SPARK-23433
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Github user RussellSpitzer commented on the issue:
https://github.com/apache/spark/pull/21990
What I wanted was to just call the Scala Methods, instead of having half
the code and half in python, but we create the JVM in the SparkContext creation
code so this ends up not being a good
Github user seancxmao commented on a diff in the pull request:
https://github.com/apache/spark/pull/22184#discussion_r213020789
--- Diff: docs/sql-programming-guide.md ---
@@ -1895,6 +1895,10 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
-
Github user srowen commented on the issue:
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@kiszk I guess it's because in this case the underlying value type is a
primitive like int or long, so null can't be returned?
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Github user mgaido91 commented on the issue:
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sure, no worries @kiszk, I can take it if needed. Thanks.
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--- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
@@ -33,6 +33,9 @@ import org.apache.spark.util.random.SamplingUtils
/**
* An
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1865,6 +1871,62 @@ abstract class RDD[T: ClassTag](
// RDD chain.
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1918,3 +1980,19 @@ object RDD {
new DoubleRDDFunctions(rdd.map(x =>
Github user xuanyuanking commented on the issue:
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retest this please.
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--- Diff:
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@@ -160,7 +160,13 @@ private[spark] class TorrentBroadcast[T:
Github user kiszk commented on the issue:
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Would someone please take it?
I have less bandwidth next two days since I will be in a training session
at my office.
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@@ -223,8 +223,9 @@ trait
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@@ -815,6 +815,24 @@ class Dataset[T] private[sql](
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@@ -815,6 +815,24 @@ class Dataset[T] private[sql](
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@@ -815,6 +815,24 @@ class Dataset[T] private[sql](
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--- Diff: python/pyspark/sql/session.py ---
@@ -218,7 +218,9 @@ def __init__(self, sparkContext, jsparkSession=None):
Github user mgaido91 commented on the issue:
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sure @HyukjinKwon, thanks for pinging me anyway.
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Github user HyukjinKwon commented on the issue:
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@viirya, @kiszk, @mgaido91 and @maropu, would you be interested in taking
this over if this gets inactive for few more days?
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ping @AndrewKL
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