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Github user gatorsmile commented on the pull request:
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@yhuai Agree! Actually, I initially tried to do it in a batch mode. That is
the following API we need to use
```
public List dropPartitions(String dbName,
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@srowen @zsxwing could you help merge itï¼
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GitHub user clockfly opened a pull request:
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[SPARK-14476][SQL] Improves the output of dataset.explain by adding source
table names and file paths.
## What changes were proposed in this pull request?
Improve the physical plan
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Github user zhengruifeng commented on the pull request:
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@MLnick Args-Parsing was removed in those examples
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Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/12918#discussion_r62287954
--- Diff: python/pyspark/ml/classification.py ---
@@ -353,7 +353,7 @@ def roc(self):
Returns the receiver operating characteristic (ROC)
Github user holdenk commented on the pull request:
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Happy to, I was going to leave those files for the people working in them
during QA but I can update them as well.
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Github user yanboliang commented on the pull request:
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I like it! @holdenk Could you make change for all links in spark.ml docs? I
found there are links in ```regression.py```, ```recommendation.py``` and
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GitHub user koeninger opened a pull request:
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[SPARK-15085][Streaming][Kafka] Rename streaming-kafka artifact to inâ¦
## What changes were proposed in this pull request?
Renaming the streaming-kafka artifact to include kafka version, in
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Github user hellertime commented on the pull request:
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I'm updating the title of the PR to reflect the change in approach. I think
the boolean property will be sufficient.
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
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@@ -88,7 +88,7 @@ private[ml] trait
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@@ -88,7 +88,7 @@ private[ml] trait
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--- Diff: python/pyspark/ml/param/_shared_params_code_gen.py ---
@@ -58,6 +61,9 @@ def __init__(self):
if defaultValueStr is not None:
Github user hellertime commented on the pull request:
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True. So really the desired behavior is always just to ignore `*`
resources. A boolean property would suffice here. What about
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--- Diff: python/pyspark/ml/param/_shared_params_code_gen.py ---
@@ -58,6 +61,9 @@ def __init__(self):
if defaultValueStr is not None:
Github user tnachen commented on the pull request:
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Yes I am aware of multi roles, but not sure in what situation you would
want to register with multiple roles but only use one role's resources?
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--- Diff: python/pyspark/ml/param/__init__.py ---
@@ -280,7 +281,9 @@ def explainParam(self, param):
else:
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Github user hellertime commented on the pull request:
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I see that as a potential solution, however at some future point mesos will
support frameworks which can hold multiple roles (MESOS-1763 ð) so perhaps
leaving it
Github user koeninger commented on a diff in the pull request:
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--- Diff:
external/kafka-beta/src/main/scala/org/apache/spark/streaming/kafka/KafkaRDD.scala
---
@@ -0,0 +1,259 @@
+/*
+ * Licensed to the Apache
Github user shivaram commented on the pull request:
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Lets create a wrapper - I think its better for R users.
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Github user bomeng commented on the pull request:
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The test failure was caused by timeout for HiveThriftHttpServerSuite and
SingleSessionSuite... have not figure out the cause, any suggestion will be
welcome.
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@@ -0,0 +1,344 @@
+/*
+ *
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ping @jkbradley @dbtsai @mengxr
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Github user tnachen commented on the pull request:
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I see, I wonder besides the wildcard role if it ever makes sense to have
two lists of roles, one set that you are registered with and another set you
want to accept
Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/12801#issuecomment-217337836
@gatorsmile I am not sure we should ban dropping multiple partitions in a
single call, which is a useful command.
I just took a look at our implementation of
Github user viirya commented on the pull request:
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ping @cloud-fan @yhuai Please take a look at this. Thanks.
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Github user sitalkedia commented on the pull request:
https://github.com/apache/spark/pull/12436#issuecomment-217337519
No, this is not the same issue. SPARK-14915 deals with duplicate tasks in
case of Speculation. But this change has nothing to do with Speculation. This
is fixing
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/12942#issuecomment-217337276
hm probably not this way because this wouldn't make sense once we make the
catalog mountable. we might want to have some other way to tell though.
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Github user taku-k commented on the pull request:
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@MLnick Thank you. I rebased to latest master and resolved conflicts. I
would like you to review my Pull/Req.
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+/*
+ *
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