Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18023
Let me post a confusing error message.
```Scala
withSQLConf(SQLConf.SUPPORT_QUOTED_REGEX_COLUMN_NAME.key -> "true") {
Seq((1, 1)).toDF("key",
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -847,6 +847,12 @@ object SQLConf {
.intConf
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -53,7 +53,23 @@ import org.apache.spark.storage.StorageLevel
Github user yanboliang commented on a diff in the pull request:
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--- Diff:
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@@ -75,17 +78,13 @@ private[classification]
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Github user wangmiao1981 commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib_tree.R ---
@@ -409,7 +413,7 @@ setMethod("spark.randomForest", signature(data =
"SparkDataFrame", formula = "fo
Github user wangmiao1981 commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib_tree.R ---
@@ -374,6 +374,10 @@ setMethod("write.ml", signature(object =
"GBTClassificationModel", path = "chara
#'
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2871,10 +2874,10 @@ setMethod("ifelse",
#' @details
#' \code{cume_dist}: Returns the cumulative
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2844,27 +2872,16 @@ setMethod("ifelse",
## Window functions##
Github user felixcheung commented on a diff in the pull request:
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -758,6 +763,16 @@ count(groupBy(df, "deviceType"))
+You can also
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib_tree.R ---
@@ -374,6 +374,10 @@ setMethod("write.ml", signature(object =
"GBTClassificationModel", path = "chara
#'
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib_tree.R ---
@@ -409,7 +413,7 @@ setMethod("spark.randomForest", signature(data =
"SparkDataFrame", formula = "fo
Github user felixcheung commented on the issue:
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how about checking if we have tests for these two types (as not supported)?
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--- Diff: python/pyspark/ml/fpm.py ---
@@ -186,29 +186,29 @@ class FPGrowth(JavaEstimator, HasItemsCol,
HasPredictionCol,
|[z]
Github user felixcheung commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/fpm.py ---
@@ -186,29 +186,29 @@ class FPGrowth(JavaEstimator, HasItemsCol,
HasPredictionCol,
|[z]
Github user felixcheung commented on the issue:
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btw, if the key is the very first column, that sounds like prefix and not
append?
perhaps `return.data.frame.key.column` = `FALSE`?
and about your comment, do you mean `key` in
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--- Diff:
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@@ -97,6 +106,10 @@ object CommandUtils extends Logging
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Github user asfgit closed the pull request at:
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/17640
@jiangxb1987 The original PR has some issues that are not correctly
handled. I will open a new PR when I figure out the right fix. I intended to
close this PR. Thanks for closing it.
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Github user gatorsmile commented on the issue:
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Merging to master.
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Github user gatorsmile commented on the issue:
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LGTM
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Github user felixcheung commented on the issue:
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I see, quite possibly it is bubbled up more because of that change.
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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---
@@ -77,37 +77,6 @@ class
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/18496
[SparkR][SPARK-20307]:SparkR: pass on setHandleInvalid to spark.mllib
functions that use StringIndexer
## What changes were proposed in this pull request?
For randomForest
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17451#discussion_r125154011
--- Diff: python/pyspark/ml/feature.py ---
@@ -2869,6 +2871,20 @@ def findSynonyms(self, word, num):
word = _convert_to_vector(word)
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17451#discussion_r125154035
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -274,6 +274,29 @@ class Word2VecModel private[ml] (
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17451#discussion_r125154018
--- Diff: python/pyspark/ml/feature.py ---
@@ -2869,6 +2871,20 @@ def findSynonyms(self, word, num):
word = _convert_to_vector(word)
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18479#discussion_r125153313
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlanVisitor.scala
---
@@ -0,0 +1,87 @@
+/*
+ *
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18479#discussion_r125153296
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlanVisitor.scala
---
@@ -0,0 +1,87 @@
+/*
+ *
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/18388
cc @zsxwing how strictly we require for shuffle service compatibility?
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Github user jinxing64 commented on the issue:
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Yes, there is a change. Server side may return `OpenBlocksFailed` for the
"open blocks" request, which means that old client is not compatible with new
server. Is it acceptable ?
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Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/18482
In current change, it i fetching big chunk in memory and then writing to
disk and then release the memory. I made this change for below reasons:
1. The client shouldn't break old shuffle
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/18301
https://github.com/apache/spark/blob/fd1325522549937232f37215db53d6478f48644c/core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java#L473
In the a probe at L473, if the slot
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/commands.scala
---
@@ -19,24 +19,65 @@ package
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/18159#discussion_r125151815
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/commands.scala
---
@@ -19,24 +19,65 @@ package
Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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thanks for the review, merging to master!
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Github user cloud-fan commented on the issue:
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does this patch require server side change?
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Github user cloud-fan commented on the issue:
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does this mean we have to fetch big chunks in memory and then writing to
disk?
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Github user viirya commented on the issue:
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Thanks @gatorsmile.
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Github user sadikovi commented on the issue:
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@JoshRosen Thank you for the comment! I updated config option name to
reflect changes in master branch.
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Github user maropu commented on the issue:
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ok, done
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Github user HyukjinKwon commented on the issue:
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FWIW, I don't know but I guess it happens randomly in the middle of any
tests. My wild guess is it is related with triggering many tests (or maybe
rebasing a lot to trigger the build). I saw it
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/18476#discussion_r125149417
--- Diff: docs/configuration.md ---
@@ -1398,6 +1398,15 @@ Apart from these, the following properties are also
available, and may be useful
GitHub user actuaryzhang opened a pull request:
https://github.com/apache/spark/pull/18495
[SPARK-21275][ML] Update GLM test to use supportedFamilyNames
## What changes were proposed in this pull request?
Update GLM test to use supportedFamilyNames as suggested here:
Github user actuaryzhang commented on the issue:
https://github.com/apache/spark/pull/18495
@yanboliang
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Github user Tagar commented on the issue:
https://github.com/apache/spark/pull/11106
another possible way to implement INTERSECT ALL
https://issues.apache.org/jira/browse/SPARK-21274
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Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18459
Great, thanks @shaneknapp! Just let me know what I can do to help
On Jun 30, 2017 4:52 PM, "shane" wrote:
> i won't have time to think about and do
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Github user shaneknapp commented on the issue:
https://github.com/apache/spark/pull/18459
i won't have time to think about and do something until monday... but i
have some ideas.
On Fri, Jun 30, 2017 at 4:29 PM, Bryan Cutler
wrote:
Github user NarineK commented on the issue:
https://github.com/apache/spark/pull/14431
I think @falaki's approach is good, only I find the key which is passed as
an argument together with x as an input of function is a little superfluous.
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Github user janewangfb commented on a diff in the pull request:
https://github.com/apache/spark/pull/18023#discussion_r125147853
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -847,6 +847,11 @@ object SQLConf {
.intConf
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/18465
@felixcheung are these failures happening from the gapply tests ? Also do
we have a way to map the error code to an error reason ?
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Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18459
Thanks for checking on that Wes! @shaneknapp and @holdenk I definitely
don't want you to go through dependency hell... :-1: I'm not too sure how to
resolve this since I have no access to
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16158
@MLnick Thanks for your attention. I'm not sure if SPARK-19053 is still
active and maybe it's not a blocking issue for this change. If you don't mind,
I'll extend the jira/PR scope to involve
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18307#discussion_r125146093
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,37 +2205,151 @@ class Dataset[T] private[sql](
* // max 92.0
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18307#discussion_r125146112
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,37 +2205,151 @@ class Dataset[T] private[sql](
* // max 92.0
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18307#discussion_r125146063
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,37 +2205,151 @@ class Dataset[T] private[sql](
* // max 92.0
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17862
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18023#discussion_r125144859
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -847,6 +847,11 @@ object SQLConf {
.intConf
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18384
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Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14431
Compared to introducing a new API, I think @falaki 's idea of adding a
non-default option is better
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