Github user rnowling commented on the pull request:
https://github.com/apache/spark/pull/4087#issuecomment-70446766
[~leahmcguire],
Thanks for the patch!
A few comments:
1. PySpark calls the Scala API for MLlib, so for API compatibility, we
can't use enumerations
Github user SparkQA commented on the pull request:
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Github user ScrapCodes commented on the pull request:
https://github.com/apache/spark/pull/4043#issuecomment-70453703
@pwendell - patch updated to latest master.
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Github user nchammas commented on the pull request:
https://github.com/apache/spark/pull/4038#issuecomment-70442384
cc @shivaram
I haven't had a chance to look at this more closely yet, and likely won't
until next weekend.
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Github user tianyi commented on a diff in the pull request:
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--- Diff:
sql/hive-thriftserver/src/test/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2Suite.scala
---
@@ -384,4 +388,32 @@ class
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Github user jackylk commented on the pull request:
https://github.com/apache/spark/pull/2847#issuecomment-70450975
Yes, I have tested the parallel FP-Growth algorithm using a open data set
from http://fimi.ua.ac.be/data/, performance test result can be found at
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Github user jackylk commented on the pull request:
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I have updated the code based on SPARK-3965 (SPARK-5168)
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Github user cloud-fan commented on the pull request:
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The problem is that: Currently the `GetField` class is an operation which
picks the first field whose name equal to the required `fieldName` with case
sensitive. As I
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Github user rxin commented on the pull request:
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Thanks. Merging in master.
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Github user hhbyyh commented on the pull request:
https://github.com/apache/spark/pull/4069#issuecomment-70441745
@srowen Would you mind to take another look? Thanks
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/4001#issuecomment-70441804
`HiveShim.getCommandProcess` delegates to methods defined in
`CommandProcessorFactory`, which tries to find a cached `Driver` object and
initialize it. The underlying
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Github user tianyi commented on the pull request:
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rebased from latest master.
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Github user mfawzymkh commented on the pull request:
https://github.com/apache/spark/pull/1813#issuecomment-70446580
do we have an ETA to get this pull request merged to master? The guava
shading issue is causing a problem for client libs that has a dependency on
swift-service when
Github user rnowling commented on a diff in the pull request:
https://github.com/apache/spark/pull/4087#discussion_r23142812
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -75,9 +106,12 @@ class NaiveBayesModel private[mllib] (
*
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/4098
[SPARK-5307] SerializationDebugger - take 2
This patch adds a SerializationDebugger that is used to add serialization
path to a NotSerializableException. When a NotSerializableException is
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/3820#issuecomment-70450284
I've tested this PR but the result seems to be off.
Parquet generated from Hive with timestamp values set by
'from_utc_timestamp('1970-01-01 08:00:00','PST')'
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GitHub user jackylk opened a pull request:
https://github.com/apache/spark/pull/4100
[SQL] fix typo in class description
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jackylk/spark patch-9
Alternatively you can review and
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https://github.com/apache/spark/pull/4101
[SPARK-5297][Streaming] Fix Java file stream type erasure problem
Current Java file stream doesn't support custom key/value type because of
loss of type information, details can be seen in
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Github user wangxiaojing commented on the pull request:
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@tdas
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Github user rnowling commented on a diff in the pull request:
https://github.com/apache/spark/pull/4087#discussion_r23142620
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -75,9 +106,12 @@ class NaiveBayesModel private[mllib] (
*
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/4098#issuecomment-70449497
Link to the earlier attempt: https://github.com/apache/spark/pull/4093 by
me and https://github.com/apache/spark/issues/3518 by @ilganeli
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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/4099
[SPARK-5022] [Sql] Change VectorUDT to object
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$ git pull https://github.com/MechCoder/spark spark-5022
Alternatively you
Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/4099#issuecomment-70450637
cc @rxin I am unable to understand how to change this line
`@SQLUserDefinedType(udt = classOf[VectorUDT])` . I tried doing
`@SQLUserDefinedType(udt =
Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/2310#issuecomment-70440912
Sounds good, I concur. Thanks!
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Github user MechCoder commented on the pull request:
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Alright, but maybe the documentation can be updated that the indices should
be non-negative?
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Github user idanz commented on the pull request:
https://github.com/apache/spark/pull/4094#issuecomment-70443024
I see,
I don't want to repeat old discussions so to be more pragmatic, the real
problem for me is to set the partition size when using sparksql.
My cluster uses
Github user nieldomingo commented on the pull request:
https://github.com/apache/spark/pull/2997#issuecomment-70443145
this would really help me
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Github user derrickburns commented on the pull request:
https://github.com/apache/spark/pull/2634#issuecomment-70443890
@mengxr
I have implemented several variants of Kullback-Leibler divergence in
my separate
GitHub repository
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Github user jongyoul commented on the pull request:
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Rebase is not finished.
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Github user rnowling commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/NaiveBayes.scala ---
@@ -32,28 +42,42 @@ import org.apache.spark.rdd.RDD
* @param
Github user jongyoul commented on the pull request:
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retest this please.
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Github user jongyoul commented on the pull request:
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@mateiz I've rebased this PR and finished tests successfully. Merge this,
please.
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--- Diff:
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* @param
Github user rnowling commented on a diff in the pull request:
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--- Diff:
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* @param
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Jenkins, retest this please.
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Github user scwf commented on the pull request:
https://github.com/apache/spark/pull/3819#issuecomment-70437399
Hmm, agree with you, but have not found a easy way to spot truncated
description.
if we add `...` for truncated decs, we will consider the case of window
scaling and
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--- Diff:
core/src/test/scala/org/apache/spark/serializer/SerializationDebuggerSuite.scala
---
@@ -0,0 +1,140 @@
+/*
+ * Licensed to the Apache
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4094#issuecomment-70448190
Hey @idanz first of all, we should add some comments to the code
referencing SPARK-822, so that we don't go through this all over again for the
core Spark API.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4047#issuecomment-70434374
@hhbyyh Yes, please review the design doc linked from the JIRA. There is
quite a bit of functionality which will not be in this initial PR.
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Github user asfgit closed the pull request at:
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/3571#issuecomment-70435538
Hi @jacek-lewandowski,
Thanks for bringing this up to date. I took a quick pass through and left
some minor comments.
Just to clarify: this only adds
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/4074#discussion_r23139343
--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
---
@@ -436,6 +436,12 @@ trait JavaRDDLike[T, This : JavaRDDLike[T, This]]
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4074#issuecomment-70435986
LGTM @srowen - are you still working on it or is it good from your end?
Will leave a bit of time for others to comment as well.
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4042#issuecomment-70436107
Okay - @AdamGS thanks for sending this patch but I think we'll pass on
adding this API. Overall we're pretty conservative with adding API's like this
if there isn't a
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4042#issuecomment-70436115
Let's close this issue.
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Github user uncleGen closed the pull request at:
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4094#issuecomment-70436485
Yeah, this has always been broken. What's even more confusing is what
Hadoop actually does with this minSplits if you trace the code through Hadoop -
I remember looking
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/4094#issuecomment-70436546
Here's some links to prior discussions of this:
- https://issues.apache.org/jira/browse/SPARK-822
- https://github.com/mesos/spark/pull/718
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If your
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4096#issuecomment-70436617
@MechCoder Similar to #3791, this will significantly hurt performance.
Having indices being nonnegative and ordered is a contract. If you want to
ensure these, please use
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