Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -324,7 +324,7 @@ queryPrimary
;
sortItem
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14858#discussion_r77141804
--- Diff: docs/ml-features.md ---
@@ -1102,7 +1102,8 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer` takes a colum
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/14914#discussion_r77141688
--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala ---
@@ -999,7 +999,7 @@ object Matrices {
val data = new ArrayBu
Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/SortOrder.scala
---
@@ -26,21 +26,40 @@ import
org.apache.spark.util.col
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Github user srowen commented on the issue:
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Although I'm slightly positive on it, I would not merge if there are two
slightly negative reviews. I think it's a bit more than style preference, but
not much more. Is there ever a benefit to patter
Github user jerryshao commented on the issue:
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From my understanding it is more like a personal preference rather than
code style issue. We may change the code for now, but how can we guarantee
other people not to use pattern match in future?
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Github user clockfly commented on the issue:
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@mengxr @yhuai, comments?
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Github user wzhfy commented on the issue:
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@gatorsmile Yes, we should exclude the staging dir.
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Github user ScrapCodes commented on the issue:
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Thanks @gatorsmile. I was actually wondering, where can I document this
option.
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--- Diff:
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@@ -617,7 +618,9 @@ abstract class TreeNode[BaseType <: TreeNo
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--- Diff:
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@@ -88,24 +85,53 @@ case class AnalyzeTableCommand(tabl
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Github user VinceShieh commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -1102,7 +1102,8 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer` takes a c
GitHub user clockfly opened a pull request:
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[SPARK-17356][SQL] Fix out of memory issue when calling TreeNode.toJSON
## What changes were proposed in this pull request?
class `org.apache.spark.sql.types.Metadata` is widely used in ml
Github user VinceShieh commented on a diff in the pull request:
https://github.com/apache/spark/pull/14858#discussion_r77138037
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -114,10 +115,10 @@ final class QuantileDiscretizer @Since("1.6
Github user mpjlu commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/feature.py ---
@@ -276,24 +276,64 @@ class ChiSqSelector(object):
"""
Creates a ChiSquared feature selector.
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--- Diff:
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@@ -52,7 +52,8 @@ case class LogicalRelation(
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Github user srowen commented on the issue:
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OK well I'd leave it to people here with more taste to agree about what's
canonical but I take your word for it. I'm mostly interested in consistency if
anythign.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/14515#discussion_r77136669
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/MetastoreRelation.scala ---
@@ -162,7 +162,13 @@ private[hive] case class MetastoreRelation(
Github user Stibbons commented on the issue:
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I agree. I would prefer if Spark examples also "promotes" the good practice
of Python, ie, replacing 'map' and 'filter' by list or map comprehension
('reduce' has no equivalent on comprehension), e
Github user cloud-fan commented on the issue:
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ok to test
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thanks, merging to master!
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--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala ---
@@ -999,7 +999,7 @@ object Matrices {
val data = new Array
Github user cloud-fan commented on the issue:
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thanks for the review, merging to master!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -114,10 +115,10 @@ final class QuantileDiscretizer @Since("1.6.0")
Github user cloud-fan commented on the issue:
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merging to master! @gatorsmile can you send a new PR to backport it to 2.0?
thanks!
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--- Diff:
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@@ -114,10 +115,10 @@ final class QuantileDiscretizer @Since("1.6
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Merged to master
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LGTM, merging to master!
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Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -114,10 +115,10 @@ final class QuantileDiscretizer @Since("1.6.0")
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14858#discussion_r77132904
--- Diff: docs/ml-features.md ---
@@ -1102,7 +1102,8 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer` takes a colum
Github user srowen commented on the issue:
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OK I'd leave these changes to Python people like @davies @holdenk @MLnick
to comment on from here. I think style changes can be OK if they're consistent,
enforceable, and moving the code towards more
Github user srowen commented on the issue:
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I don't know if performance is important here. I'd rather either batch this
together with other changes that make this change consistently or drop this one.
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--- Diff: python/pyspark/mllib/feature.py ---
@@ -276,24 +276,64 @@ class ChiSqSelector(object):
"""
Creates a ChiSquared feature selector.
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14900
LGTM. In light of this change, was
https://github.com/apache/spark/pull/14791 necessary, or at least still a valid
change?
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LGTM
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--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala ---
@@ -999,7 +999,7 @@ object Matrices {
val data = new Array
Github user srowen commented on the issue:
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OK fair enough LGTM
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@@ -999,7 +999,7 @@ object Matrices {
val data = new Array
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Github user VinceShieh commented on the issue:
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Updates:
1. code refactoring. Rename the API to align with Sklearn changes
2. add implementation in CrossValidator
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@@ -999,7 +999,7 @@ object Matrices {
val data = new Array
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--- Diff:
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@@ -999,7 +999,7 @@ object Matrices {
val data = new Array
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[SPARK-17359][SQL][MLLib] Use ArrayBuffer.+=(A) instead of
ArrayBuffer.append(A) in performance critical paths
## What changes were proposed in this pull request?
We should generally use `A
Github user srowen commented on a diff in the pull request:
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--- Diff:
examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala ---
@@ -203,7 +203,7 @@ object SparkSQLExample {
// No pre-defi
GitHub user watermen opened a pull request:
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[SPARK-17358][SQL] Cached table(parquet/orc) should be shard between
beelines
## What changes were proposed in this pull request?
Cached table(parquet/orc) couldn't be shard between beelines,
Github user clockfly commented on a diff in the pull request:
https://github.com/apache/spark/pull/14868#discussion_r77127003
--- Diff:
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@@ -0,0 +1,321 @@
+/*
+ *
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--- Diff:
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@@ -0,0 +1,321 @@
+/*
+ *
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SharedState.scala ---
@@ -69,6 +71,29 @@ private[sql] class SharedState(val sparkContext:
Github user gatorsmile commented on the issue:
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Maybe I found another bug in the master branch?
When calculating statistics for data source tables, we do not exclude the
staging directory. However, we exclude them when `AnalyzeTableCom
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--- Diff: core/src/main/scala/org/apache/spark/internal/Logging.scala ---
@@ -135,7 +136,12 @@ private[spark] trait Logging {
val replLevel = Opti
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14452
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14712#discussion_r77124744
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/catalyst/SQLBuilder.scala ---
@@ -590,8 +590,12 @@ class SQLBuilder private (
object E
Github user suyanNone commented on the issue:
https://github.com/apache/spark/pull/14765
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Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/14452#discussion_r77123756
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -89,6 +90,8 @@ abstract class Optimizer(sessionCatalog:
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