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cc @marmbrus
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[SPARK-14411][SQL]Add a note to warn that onQueryProgress is asynchronous
## What changes were proposed in this pull request?
onQueryProgress is asynchronous so the user may see some
Github user jkbradley commented on the pull request:
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add to whitelist
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Github user tgravescs commented on the pull request:
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I've been looking into this and running some tests but at this point I
haven't actually had the kill triggered. I always end up with things getting
Marked failed as
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -620,6 +620,14 @@ private[spark] class TaskSetManager(
//
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Done with my review!
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -480,19 +653,87 @@ def copy(self, extra=None):
extra = dict()
return
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LGTM if sbt and maven tests pass.
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--- Diff: tools/pom.xml ---
@@ -71,6 +71,16 @@
org.apache.maven.plugins
maven-source-plugin
+
--- End diff
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -289,8 +392,60 @@ def copy(self, extra=None):
extra = dict()
return
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https://github.com/apache/spark/pull/12117#discussion_r58602203
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/functions.scala
---
@@ -85,24 +91,23 @@ case class DropFunction(
extends
Github user vanzin commented on a diff in the pull request:
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--- Diff: pom.xml ---
@@ -840,14 +827,13 @@
org.apache.avro
avro-mapred
${avro.version}
+
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/functions.scala
---
@@ -85,24 +91,23 @@ case class DropFunction(
extends
Github user andrewor14 commented on the pull request:
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@jeanlyn can you close this PR now that it's merged?
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Github user andrewor14 commented on the pull request:
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Merging into 1.6
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Looks pretty good, just a minor comment.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlParser.scala ---
@@ -553,9 +553,13 @@ class SparkSqlAstBuilder extends
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Thanks @yhuai @viirya I'm merging this into master.
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@@ -85,24 +91,23 @@ case class DropFunction(
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -289,8 +392,60 @@ def copy(self, extra=None):
extra = dict()
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I sent most of my comments but am not quite done yet.
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+1
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/12176#issuecomment-205952381
Ha fair enough. From poking around the internet I'm pretty sure the first
is an estimate of gamma, the topic distribution (as the comments say) and the
second are
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https://github.com/apache/spark/pull/12020#discussion_r58596672
--- Diff: python/pyspark/ml/wrapper.py ---
@@ -64,7 +64,7 @@ def _make_java_param_pair(self, param, value):
param = self._resolveParam(param)
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
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--- Diff: python/pyspark/ml/wrapper.py ---
@@ -73,8 +73,19 @@ def _transfer_params_to_java(self):
paramMap = self.extractParamMap()
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
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--- Diff: python/pyspark/ml/wrapper.py ---
@@ -88,6 +99,18 @@ def _transfer_params_from_java(self):
value = _java2py(sc,
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--- Diff: python/pyspark/ml/wrapper.py ---
@@ -73,8 +73,19 @@ def _transfer_params_to_java(self):
paramMap = self.extractParamMap()
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--- Diff: python/pyspark/ml/wrapper.py ---
@@ -88,6 +99,18 @@ def _transfer_params_from_java(self):
value = _java2py(sc,
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -236,7 +286,10 @@ def _fit(self, dataset):
else:
bestIndex = np.argmin(metrics)
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -112,15 +198,24 @@ class CrossValidator(Estimator, HasSeed):
>>> cvModel = cv.fit(dataset)
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/param/params.scala ---
@@ -932,6 +932,11 @@ final class ParamMap private[ml] (private val map:
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -177,35 +177,57 @@ private[csv] object
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/RandomForest.scala ---
@@ -55,10 +55,16 @@ import org.apache.spark.util.Utils
* @param
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -329,6 +329,8 @@ private[ml] trait HasFeatureSubsetStrategy extends
Params {
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala ---
@@ -17,6 +17,10 @@
package org.apache.spark.ml.tuning
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@@ -200,6 +204,11 @@ class CrossValidatorModel private[ml] (
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[SPARK-13681][SQL][WIP] Add back once removed CommitFailureTestRelationSuite
## What changes were proposed in this pull request?
This test suite was removed while refactoring
Github user devaraj-kavali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12082#discussion_r58590060
--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -1444,4 +1444,19 @@ object Client extends Logging {
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Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/12175#issuecomment-205928323
Thank you, @marmbrus . I will update the scala docand add description
annotation for InitCap.
And the for last comment, if you agree, I hope to implement
Github user asfgit closed the pull request at:
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Thanks, merging to master.
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Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12153#discussion_r58587493
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -620,17 +621,28 @@ class HDFSFileCatalog(
if (paths.length >=
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/12175#issuecomment-205924675
It does seem reasonable to match hive since that was probably the original
intention. I've tagged the JIRA for inclusion in the release notes. A few
comments:
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12153#discussion_r58587457
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -620,17 +621,28 @@ class HDFSFileCatalog(
if (paths.length >=
Github user falaki commented on the pull request:
https://github.com/apache/spark/pull/12173#issuecomment-205924047
I don't think we need a separate parsing mode for this feature. This
feature can be part of all existing modes.
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/12106#discussion_r58586792
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -451,10 +451,10 @@ final class OnlineLDAOptimizer extends
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11570#issuecomment-205922370
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/12171#issuecomment-205922367
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/12149#discussion_r58586141
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/ScalaReflectionSuite.scala
---
@@ -81,9 +81,43 @@ case class
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/12171#issuecomment-205921075
I re-added joda-time; let's see if that fixes Hive.
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