GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/15843
[SPARK-18274] Memory leak in PySpark StringIndexer
## What changes were proposed in this pull request?
Make Java Gateway dereference object in destructor, using
`SparkContext._gateway.detach
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15800#discussion_r87429950
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHash.scala ---
@@ -76,7 +72,19 @@ class MinHashModel private[ml] (
@Since("2.1.0")
Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/15410
@vijoshi please look at test failures in more detail to see if these
changes could have affected.
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Github user aditya1702 commented on the issue:
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@srowen Ok. Thanks ð
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Github user kiszk commented on the issue:
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@hvanhovell Thank for pointing out `NullIntolerant`. I did not know it. I
also provide it as a starting point based on two instances that I saw today.
I agree that it would be good to add `NullInto
Github user srowen commented on the issue:
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Python API calls the Scala API so I think this is sufficient.
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Github user aditya1702 commented on the issue:
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What about the python code? this was for scala only right?
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Github user hvanhovell commented on the issue:
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@kiszk that could be a start. However I would like to take a step back, and
see which nullability checking patterns are common, and provide generic
utilities for them. I also think that the prope
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Github user squito commented on the issue:
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@kayousterhout I've updated again, and did another pass for a little more
cleanup. I think it should be OK now. sorry the earlier update left out some
things.
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Github user HyukjinKwon commented on the issue:
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Actually, nvm. I think handling this in `DataFrameReader.schema` will deal
with most of general cases.
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Github user yanboliang commented on the issue:
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cc @felixcheung
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Github user HyukjinKwon commented on the issue:
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Oh wait, @cloud-fan, it seems, at least, Parquet files could possibly be
written with not nullable fields. So, reading it without user-specified schema
might also cause the inconsistency between
GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/15842
[SPARK-18401][SPARKR][ML] SparkR random forest should support output
original label.
## What changes were proposed in this pull request?
SparkR ```spark.randomForest``` classification predic
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Github user HyukjinKwon commented on the issue:
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Thanks @cloud-fan, sure, that sounds great.
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Github user tgravescs commented on the issue:
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Jenkins, test this please
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Github user kiszk commented on the issue:
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@sameeragarwal did you have any change to take a closer look?
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Github user oza closed the pull request at:
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Github user oza commented on the issue:
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This was my mistake of configuration. After clearing the configuration
about Hadoop, it works well. Closing this as not a problem. Thanks all for
helping me, reviewing patch!
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Github user nsyca commented on the issue:
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@cloud-fan, I was studying the ResolveSubquery code for my work on
SPARK-17348. I was first puzzle about the code in `def rewriteSubQuery`
// Make sure the inner and the outer query attr
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Github user kiszk commented on the issue:
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Do we prepare a utility method like this in `CodeGenerator`?
```java
def genNullableAssignment(genIsNull: boolean, isNull: boolean, lhs: String,
rhs: String): String = {
if (genIsNull) {
Github user oza commented on the issue:
https://github.com/apache/spark/pull/15806
I'm sorry, but I had a hadoop configuration on my local: I noticed it on PR
about SPARK-18345. I will check whether it happens after clearing
configuration.
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Github user HyukjinKwon commented on the issue:
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+1 for no problem :).
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Github user hvanhovell commented on the issue:
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No problem. Thanks for the effort!
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Github user oza closed the pull request at:
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Github user oza commented on the issue:
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I'm sorry, it's completely
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Github user oza commented on the issue:
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@srowen it makes sense to me. In that case, we can update our documentation
to avoid the problem.
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Github user oza commented on the issue:
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Thanks a lot for your comments! I see, in fact, I had the problem on Mac
OS. Okay, I will try it on your VM, and on my local linux. Please wait a moment.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala ---
@@ -60,7 +60,8 @@ object SparkSQLExample {
private
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Github user HyukjinKwon commented on the issue:
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As far as I know, the default file system should be `file:///`.
I created a virtual machine with the OS `Ubuntu Server Trusty 14.04 amd64`,
from the link
https://oss-binaries.phusionpas
Github user srowen commented on the issue:
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We want the examples to be consistent, so wouldn't this affect all examples?
And yes they're supposed to be run with the given script.
Putting the path in the source code might help a bit for p
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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private
Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private
Github user kiszk commented on the issue:
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@cloud-fan , this optimization leads to failure of the program `Seq((0,
1.0, 3.0), (2, 2.0, 5.0)).toDF("id", "v").printSchema` .
While the previous code returns `false`, this optimization returns `
Github user hvanhovell commented on the issue:
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On a whole this PR looks good. On a more general level, I would like to
suggest that we should have a more generic way of preventing unneeded
null-checks.
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Github user oza commented on a diff in the pull request:
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--- Diff:
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private def run
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Github user tgravescs commented on the issue:
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Jenkins, test this please
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Github user tgravescs commented on the issue:
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I've seen other pr tests passing now, let try again.
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Github user tgravescs commented on the issue:
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ah, ok I did misunderstand, I thought you were talking changing timezone
based on browser local time.
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private def run
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private def run
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@@ -60,7 +60,8 @@ object SparkSQLExample {
private
Github user oza commented on the issue:
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Updating patch based on kiszk's comment:
https://github.com/apache/spark/pull/15806#discussion_r87393524
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@@ -0,0 +1,104 @@
+/*
+ * Licensed to the
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Github user uncleGen commented on the issue:
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cc @zsxwing
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Github user pwoody commented on the issue:
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Ah awesome thanks - my IDE settings must not be properly catching the style
- will fix and make sure this doesn't happen in the future.
Also just took a look at the bucketing. I've implemente
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@@ -272,6 +275,83 @@ class ParquetFileF
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@@ -75,6 +76,17 @@ trait FileFormat {
}
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@andreweduffy, are you fine with #15835? If so, we might be able to close
this.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15835
Ah, I missed the last comment from the old PR. Okay, we can make this
shaped nicer. BTW, Spark collects small partitions for each task so I guess
this would not introduce a lot of tasks always b
Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/15840
Jenkins, retest this please.
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Github user oza commented on the issue:
https://github.com/apache/spark/pull/15841
Before the patch:
```
scala> val df = spark.read.json("examples/src/main/resources/people.json")
16/11/10 21:02:59 WARN datasources.DataSource: Error while looking for
metadata directory.
Github user SparkQA commented on the issue:
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