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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -1878,17 +1878,25 @@ class Dataset[T] private[sql](
def dropDuplicates(colNa
Github user rxin commented on the issue:
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Merging in. Thanks.
Can you also close the pr? GitHub wont' close it automatically because it
is not merged into master branch.
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Github user sethah commented on the issue:
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So I've been reading through some of the history with logistic regression
summaries. There was a lot of discussion on how to design the abstractions for
this, [here](https://github.com/apache/spark/p
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Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/main/java/org/apache/spark/sql/api/java/UDF1.java ---
@@ -19,14 +19,12 @@
import java.io.Serializable;
-// **
Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/main/java/org/apache/spark/sql/api/java/UDF1.java ---
@@ -19,14 +19,12 @@
import java.io.Serializable;
-// **
GitHub user rxin opened a pull request:
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[SPARK-17830][SQL] Annotate remaining SQL APIs with InterfaceStability
## What changes were proposed in this pull request?
This patch annotates all the remaining APIs in SQL (excluding streaming)
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Github user sethah commented on the issue:
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So, based on my interpretation of this and how this can actually work, we
need to have:
scala
sealed trait LogisticRegressionSummary
sealed trait LogisticRegressionTrainingSummary
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Github user mallman commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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Unfortunately, not all the things have a standard to follow. That is why I
suggested you to do a research about it. Like Oracle, it does not have such a
function in their SQL-function list:
http
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Github user HyukjinKwon commented on the issue:
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Strictly, the JIRA describes handling `null` and we might not have to
generalize the cases further.
> it will failed when do select rand(null)
Also, I would like to add the edge
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Github user gatorsmile commented on the issue:
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At first, we do not strictly follow Hive. You can easily find many in
Spark. I do not think this is an urgent JIRA, right? Like what @srowen replied
in the JIRA, he does not think this is a bug.
Github user priyankagargnitk commented on the issue:
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Thanks rxin
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Github user tnachen commented on the issue:
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I just tried running it locally and I'm getting the same error. It seems
like with your change that test is simply declining the offer.
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Github user HyukjinKwon commented on the issue:
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Not urgent but in my experience such PR have been being hold. So, I am
trying to fix the problem specified in the JIRA only rather than fixing others
together.
@srowen said "I'm not ev
Github user gatorsmile commented on the issue:
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What is the behavior of `PostgreSQL`? Treating `NULL` as zero?
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Github user wangmiao1981 commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -647,6 +654,195 @@ setMethod("predict", signature(object =
"KMeansModel"),
predict_internal(object, ne
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LGTM. Thanks! Merging to master and 2.0.
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Github user HyukjinKwon commented on the issue:
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Ah, PostgreSQL seems unsetting the seed.
```
postgres=# SELECT setseed(0), random(), random();
setseed | random | random
-+---+---
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Github user gatorsmile commented on the issue:
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Now, at least we have four options, when users setting `NULL` as a seed
number for `rand`:
1. Hive/MySQL - `NULL` is equivalent to `0`
2. DB2 - when the seed is `NULL`, `rand` returns `NUL
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cc @yhuai
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[SPARK-17899][SQL] add a debug mode to keep raw table properties in
HiveExternalCatalog
## What changes were proposed in this pull request?
Currently `HiveExternalCatalog` will filter ou
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LGTM pending Jenkins.
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Github user rxin commented on the issue:
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@tejasapatil looks like there is a legitimate failing test.
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Github user rxin commented on the issue:
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hm looks like another legitimate failing test too
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LGTM, merging to master!
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Github user viirya commented on the issue:
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Thanks for review! @rxin @cloud-fan
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/LSH.scala ---
@@ -0,0 +1,343 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) und
Github user cloud-fan commented on the issue:
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LGTM except one minor comment
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Github user HyukjinKwon commented on the issue:
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Oh, strictly, it does not ignore in case of `PostgreSQL`. It unsets.
```sql
postgres=# SELECT setseed(0);
setseed
-
(1 row)
postgres=# SELECT rando
Github user jerryshao commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -104,6 +104,8 @@ object SparkSubmit {
/___/ .__/\_,_/_/ /_/\_\ vers
Github user rxin commented on the issue:
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Given different databases diverge (they don't even have the same function
names), I think it's fine to just have null be treated as 0 like Hive/MySQL.
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Merging in master/branch-2.0.
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@tdas Based on our offline discussion, I added file size cache for the
compressed log files.
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Github user gatorsmile commented on the issue:
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@HyukjinKwon Could you document the behavior in the description of `rand`
function? Checked whether we have any missing test case? Not sure whether you
are also can check whether `rand` in R and
Github user gatorsmile commented on a diff in the pull request:
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+ * Licensed to the Apache Software Foundation (ASF) unde
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LGTM - pending jenkins
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@marmbrus
Please review one more time! Other than addressing your comments, I also
found a few bugs which I added tests for.
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