[GitHub] [spark] AmplabJenkins commented on issue #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab in the spark UI support hide tables, to make it consistent with other tabs.

2019-10-31 Thread GitBox
AmplabJenkins commented on issue #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab in 
the spark UI support hide tables, to make it consistent with other tabs.
URL: https://github.com/apache/spark/pull/26353#issuecomment-548687376
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab in the spark UI support hide tables, to make it consistent with other tabs.

2019-10-31 Thread GitBox
AmplabJenkins commented on issue #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab in 
the spark UI support hide tables, to make it consistent with other tabs.
URL: https://github.com/apache/spark/pull/26353#issuecomment-548687372
 
 
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[GitHub] [spark] shahidki31 opened a new pull request #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab in the spark UI support hide tables, to make it consistent with other tabs.

2019-10-31 Thread GitBox
shahidki31 opened a new pull request #26353: [SPARK-29590][WEBUI]JDBC/ODBC tab 
in the spark UI support hide tables, to make it consistent with other tabs.
URL: https://github.com/apache/spark/pull/26353
 
 
   
   
   ### What changes were proposed in this pull request?
   
   
   Currently, JDBC/ODBC tab in the WEBUI doesn't support hiding table. Other 
tabs in the web ui like, Jobs, stages, SQL etc supports hiding table (refer 
https://github.com/apache/spark/pull/22592).
   In this PR, added the support for hide table in the jdbc/odbc tab also.
   
   
   ### Why are the changes needed?
   Spark ui about the contents of the form need to have hidden and show 
features, when the table records very much. Because sometimes you do not care 
about the record of the table, you just want to see the contents of the next 
table, but you have to scroll the scroll bar for a long time to see the 
contents of the next table.
   
   ### Does this PR introduce any user-facing change?
   No, except support of hide table
   
   ### How was this patch tested?
   Manually tested
![Screenshot 2019-11-01 at 12 10 05 
PM](https://user-images.githubusercontent.com/23054875/68007364-61aa5d80-fca1-11e9-841e-c5a7382871fa.png)
   ![Screenshot 2019-11-01 at 12 10 43 
PM](https://user-images.githubusercontent.com/23054875/68007355-5a834f80-fca1-11e9-844a-f4ba1a333db7.png)
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML 
algs expose aggregationDepth
URL: https://github.com/apache/spark/pull/26322#issuecomment-548685618
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML 
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URL: https://github.com/apache/spark/pull/26322#issuecomment-548685624
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
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URL: https://github.com/apache/spark/pull/26322#issuecomment-548685618
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
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URL: https://github.com/apache/spark/pull/26322#issuecomment-548685624
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
SparkQA removed a comment on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs 
expose aggregationDepth
URL: https://github.com/apache/spark/pull/26322#issuecomment-548672130
 
 
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[GitHub] [spark] SparkQA commented on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

2019-10-31 Thread GitBox
SparkQA commented on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose 
aggregationDepth
URL: https://github.com/apache/spark/pull/26322#issuecomment-548685415
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `class _RobustScalerParams(HasInputCol, HasOutputCol, HasRelativeError):`
 * `class _VectorIndexerParams(HasInputCol, HasOutputCol, 
HasHandleInvalid):`
 * `class _ALSParams(_ALSModelParams, HasMaxIter, HasRegParam, 
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[GitHub] [spark] mob-ai commented on a change in pull request #26124: [SPARK-29224][ML]Implement Factorization Machines as a ml-pipeline component

2019-10-31 Thread GitBox
mob-ai commented on a change in pull request #26124: [SPARK-29224][ML]Implement 
Factorization Machines as a ml-pipeline component 
URL: https://github.com/apache/spark/pull/26124#discussion_r341465703
 
 

 ##
 File path: 
mllib/src/main/scala/org/apache/spark/ml/classification/FMClassifier.scala
 ##
 @@ -0,0 +1,360 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.ml.classification
+
+import org.apache.hadoop.fs.Path
+
+import org.apache.spark.annotation.Since
+import org.apache.spark.internal.Logging
+import org.apache.spark.ml.linalg._
+import org.apache.spark.ml.param._
+import org.apache.spark.ml.regression._
+import org.apache.spark.ml.util._
+import org.apache.spark.ml.util.Instrumentation.instrumented
+import org.apache.spark.mllib.linalg.{Vector => OldVector}
+import org.apache.spark.mllib.linalg.VectorImplicits._
+import org.apache.spark.mllib.optimization.GradientDescent
+import org.apache.spark.mllib.regression.{LabeledPoint => OldLabeledPoint}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Dataset, Row}
+import org.apache.spark.sql.functions.col
+import org.apache.spark.storage.StorageLevel
+
+/**
+ * Params for FMClassifier.
+ */
+private[classification] trait FMClassifierParams extends 
ProbabilisticClassifierParams
+  with FactorizationMachinesParams {
+}
+
+/**
+ * Factorization Machines learning algorithm for classification.
+ * It supports normal gradient descent and AdamW solver.
+ *
+ * The implementation is based upon:
+ * https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf";>
+ * S. Rendle. "Factorization machines" 2010.
+ *
+ * FM is able to estimate interactions even in problems with huge sparsity
+ * (like advertising and recommendation system).
+ * FM formula is:
+ * {{{
+ *   y = w_0 + \sum\limits^n_{i-1} w_i x_i +
+ * \sum\limits^n_{i=1} \sum\limits^n_{j=i+1} \langle v_i, v_j \rangle x_i 
x_j
+ * }}}
+ * First two terms denote global bias and linear term (as same as linear 
regression),
+ * and last term denotes pairwise interactions term. {{{v_i}}} describes the 
i-th variable
+ * with k factors.
+ *
+ * FM classification model uses logistic loss which can be solved by gradient 
descent method, and
+ * regularization terms like L2 are usually added to the loss function to 
prevent overfitting.
+ *
+ * @note Multiclass labels are not currently supported.
+ */
+@Since("3.0.0")
+class FMClassifier @Since("3.0.0") (
+  @Since("3.0.0") override val uid: String)
+  extends ProbabilisticClassifier[Vector, FMClassifier, FMClassifierModel]
+  with FMClassifierParams with DefaultParamsWritable with Logging {
+
+  import 
org.apache.spark.ml.regression.BaseFactorizationMachinesGradient.{LogisticLoss, 
parseLoss}
+  import org.apache.spark.ml.regression.FMRegressor.initCoefficients
+
+  @Since("3.0.0")
+  def this() = this(Identifiable.randomUID("fmc"))
+
+  /**
+   * Set the dimensionality of the factors.
+   * Default is 8.
+   *
+   * @group setParam
+   */
+  @Since("3.0.0")
+  def setNumFactors(value: Int): this.type = set(numFactors, value)
+  setDefault(numFactors -> 8)
+
+  /**
+   * Set whether to fit global bias term.
+   * Default is true.
+   *
+   * @group setParam
+   */
+  @Since("3.0.0")
+  def setFitBias(value: Boolean): this.type = set(fitBias, value)
+  setDefault(fitBias -> true)
+
+  /**
+   * Set whether to fit linear term.
+   * Default is true.
+   *
+   * @group setParam
+   */
+  @Since("3.0.0")
+  def setFitLinear(value: Boolean): this.type = set(fitLinear, value)
+  setDefault(fitLinear -> true)
+
+  /**
+   * Set the L2 regularization parameter.
+   * Default is 0.0.
+   *
+   * @group setParam
+   */
+  @Since("3.0.0")
+  def setRegParam(value: Double): this.type = set(regParam, value)
+  setDefault(regParam -> 0.0)
+
+  /**
+   * Set the mini-batch fraction parameter.
+   * Default is 1.0.
+   *
+   * @group setParam
+   */
+  @Since("3.0.0")
+  def setMiniBatchFraction(value: Double): this.type = {
+require(value > 0 && value <= 1.0,
+  s"Fraction for mini-batch SGD must be in range (0, 1] but got $value")
+set(miniBatchFraction, value)
+  }
+  setDefault(miniBatchFraction -> 1.0)
+
+  /**
+   * Set the standard deviati

[GitHub] [spark] cloud-fan commented on a change in pull request #26338: [SPARK-29680][SQL] ALTER TABLE CHANGE COLUMN should look up catalog/table like v2 commands

2019-10-31 Thread GitBox
cloud-fan commented on a change in pull request #26338: [SPARK-29680][SQL] 
ALTER TABLE CHANGE COLUMN should look up catalog/table like v2 commands
URL: https://github.com/apache/spark/pull/26338#discussion_r341465698
 
 

 ##
 File path: 
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4
 ##
 @@ -151,7 +151,7 @@ statement
 | ALTER TABLE multipartIdentifier
 (ALTER | CHANGE) COLUMN? qualifiedName
 (TYPE dataType)? (COMMENT comment=STRING)? colPosition?
#alterTableColumn
-| ALTER TABLE tableIdentifier partitionSpec?
+| ALTER TABLE multipartIdentifier partitionSpec?
 
 Review comment:
   The v2 rule
   ```
   (ALTER | CHANGE) COLUMN? qualifiedName (TYPE dataType)? (COMMENT 
comment=STRING)?
   ```
   The `colType`
   ```
   colName=errorCapturingIdentifier dataType (COMMENT STRING)?
   ```
   
   Seems like the v1 rule is more powerful and can rename a column and change 
data type together. If other DBs support it as well, maybe Spark should also 
support it. Otherwise, maybe 3.0 is a good time to drop this syntax.


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[GitHub] [spark] JkSelf commented on issue #26309: [SPARK-29544] collect the runtime statistics of row count in map stage

2019-10-31 Thread GitBox
JkSelf commented on issue #26309: [SPARK-29544] collect the runtime statistics 
of row count in map stage
URL: https://github.com/apache/spark/pull/26309#issuecomment-548684063
 
 
   @cloud-fan please help retest again. Thanks.


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[GitHub] [spark] cloud-fan commented on issue #26285: [SPARK-29623][SQL] do not allow multiple unit TO unit statements in interval literal syntax

2019-10-31 Thread GitBox
cloud-fan commented on issue #26285: [SPARK-29623][SQL] do not allow multiple 
unit TO unit statements in interval literal syntax
URL: https://github.com/apache/spark/pull/26285#issuecomment-548684091
 
 
   I believe the Spark R failure is not related. Any more comments before 
merging it?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26108: [SPARK-26154][SS] Streaming 
left/right outer join should not return outer nulls for already matched rows
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26108: [SPARK-26154][SS] Streaming 
left/right outer join should not return outer nulls for already matched rows
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[GitHub] [spark] AmplabJenkins commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
AmplabJenkins commented on issue #26108: [SPARK-26154][SS] Streaming left/right 
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[GitHub] [spark] AmplabJenkins commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
AmplabJenkins commented on issue #26108: [SPARK-26154][SS] Streaming left/right 
outer join should not return outer nulls for already matched rows
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[GitHub] [spark] SparkQA commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
SparkQA commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer 
join should not return outer nulls for already matched rows
URL: https://github.com/apache/spark/pull/26108#issuecomment-548681456
 
 
   **[Test build #113064 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/113064/testReport)**
 for PR 26108 at commit 
[`7213d42`](https://github.com/apache/spark/commit/7213d4266b7bfa2bd05225c68e2184a7abb24469).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `  /** Helper class for representing data (value, matched). */`
 * `  case class ValueAndMatchPair(value: UnsafeRow, matched: Boolean)`


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[GitHub] [spark] SparkQA removed a comment on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

2019-10-31 Thread GitBox
SparkQA removed a comment on issue #26108: [SPARK-26154][SS] Streaming 
left/right outer join should not return outer nulls for already matched rows
URL: https://github.com/apache/spark/pull/26108#issuecomment-548642910
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26303: [SPARK-29643][SQL] ALTER TABLE/VIEW (DROP PARTITION) should look up catalog/table like v2 commands

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26303: [SPARK-29643][SQL] ALTER 
TABLE/VIEW (DROP PARTITION) should look up catalog/table like v2 commands
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[GitHub] [spark] SparkQA commented on issue #25287: [SPARK-28552][SQL]Identification of different dialects insensitive to case by JDBC URL prefix

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[GitHub] [spark] SparkQA commented on issue #25287: [SPARK-28552][SQL]Identification of different dialects insensitive to case by JDBC URL prefix

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[GitHub] [spark] yaooqinn commented on issue #26325: [SPARK-29663][SQL] Support sum with interval type values

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[GitHub] [spark] SparkQA removed a comment on issue #26274: [SPARK-29109][SQL][TESTS] Port window.sql (Part 3)

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[GitHub] [spark] SparkQA commented on issue #26274: [SPARK-29109][SQL][TESTS] Port window.sql (Part 3)

2019-10-31 Thread GitBox
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[GitHub] [spark] AngersZhuuuu commented on issue #25028: [SPARK-28227][SQL] Support TRANSFORM with aggregation.

2019-10-31 Thread GitBox
AngersZh commented on issue #25028: [SPARK-28227][SQL] Support TRANSFORM 
with aggregation.
URL: https://github.com/apache/spark/pull/25028#issuecomment-548675869
 
 
   > Another test query:
   > 
   > ```
   > SELECT TRANSFORM(key, abs(key))
   > USING 'cat'
   > FROM (SELECT DISTINCT key FROM src);
   > ```
   > 
   > The physical plan looks different with this PR applied. in particular, 
HashAggregate gets another output column, while it should be just one:
   > 
   > `HashAggregate(keys=[key#18], functions=[], output=[key#18, 
**another_output**]) `
   
   Since we can solve every thing with path a `Seq(UnresolvedStar(None))` to` 
ScriptTrasnform`


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[GitHub] [spark] SparkQA commented on issue #26322: [SPARK-29656][ML][PYSPARK] ML algs expose aggregationDepth

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26167: [SPARK-28893][SQL] Support MERGE INTO in the parser and add the corresponding logical plan

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AmplabJenkins removed a comment on issue #26167: [SPARK-28893][SQL] Support 
MERGE INTO in the parser and add the corresponding logical plan
URL: https://github.com/apache/spark/pull/26167#issuecomment-548668927
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26167: [SPARK-28893][SQL] Support MERGE INTO in the parser and add the corresponding logical plan

2019-10-31 Thread GitBox
SparkQA removed a comment on issue #26167: [SPARK-28893][SQL] Support MERGE 
INTO in the parser and add the corresponding logical plan
URL: https://github.com/apache/spark/pull/26167#issuecomment-548629778
 
 
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[GitHub] [spark] SparkQA commented on issue #26167: [SPARK-28893][SQL] Support MERGE INTO in the parser and add the corresponding logical plan

2019-10-31 Thread GitBox
SparkQA commented on issue #26167: [SPARK-28893][SQL] Support MERGE INTO in the 
parser and add the corresponding logical plan
URL: https://github.com/apache/spark/pull/26167#issuecomment-548668653
 
 
   **[Test build #113057 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/113057/testReport)**
 for PR 26167 at commit 
[`65fc525`](https://github.com/apache/spark/commit/65fc525ab5e2556781fb6887e341cea046505ea6).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `case class MergeIntoStatement(`
 * `sealed abstract class MergeClause(condition: Option[Expression])`
 * `case class DeleteClause(deleteCondition: Option[Expression]) extends 
MergeClause(deleteCondition)`
 * `case class UpdateClause(updateCondition: Option[Expression],`
 * `case class InsertClause(insertCondition: Option[Expression],`
 * `case class MergeIntoTable(`
 * `sealed abstract class MergeAction(`
 * `case class DeleteAction(deleteCondition: Option[Expression]) extends 
MergeAction(deleteCondition)`
 * `case class UpdateAction(`
 * `case class InsertAction(`


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[GitHub] [spark] dongjoon-hyun commented on issue #26299: [MINOR][PYSPARK][DOCS] Fix typo in example documentation

2019-10-31 Thread GitBox
dongjoon-hyun commented on issue #26299: [MINOR][PYSPARK][DOCS] Fix typo in 
example documentation
URL: https://github.com/apache/spark/pull/26299#issuecomment-548668176
 
 
   @mstill3 . Please update the PR to use `os.path.join(tempfile.mkdtemp(), 
'data'` according to @HyukjinKwon 's advice.


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[GitHub] [spark] dongjoon-hyun commented on issue #26266: [SPARK-29611][WEBUI] Sort Kafka metadata by the number of messages

2019-10-31 Thread GitBox
dongjoon-hyun commented on issue #26266: [SPARK-29611][WEBUI] Sort Kafka 
metadata by the number of messages
URL: https://github.com/apache/spark/pull/26266#issuecomment-548664464
 
 
   I believe that the real production Spark streaming jobs against KAFKA 
clusters needs that option always. Given that conf, we need to confirm what 
value this PR can give.


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[GitHub] [spark] dongjoon-hyun commented on issue #26266: [SPARK-29611][WEBUI] Sort Kafka metadata by the number of messages

2019-10-31 Thread GitBox
dongjoon-hyun commented on issue #26266: [SPARK-29611][WEBUI] Sort Kafka 
metadata by the number of messages
URL: https://github.com/apache/spark/pull/26266#issuecomment-548664258
 
 
   Please don't forget 
https://github.com/apache/spark/pull/26266#discussion_r340225799 , @dengziming .


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[GitHub] [spark] dongjoon-hyun commented on issue #25932: [WIP][SPARK-29250][BUILD][test-hadoop3.2][test-maven] Upgrade to Hadoop 3.2.1

2019-10-31 Thread GitBox
dongjoon-hyun commented on issue #25932: 
[WIP][SPARK-29250][BUILD][test-hadoop3.2][test-maven] Upgrade to Hadoop 3.2.1
URL: https://github.com/apache/spark/pull/25932#issuecomment-548663846
 
 
   What do you mean? We are tracking here, SPARK-29250 .


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[GitHub] [spark] alfozan commented on issue #25028: [SPARK-28227][SQL] Support TRANSFORM with aggregation.

2019-10-31 Thread GitBox
alfozan commented on issue #25028: [SPARK-28227][SQL] Support TRANSFORM with 
aggregation.
URL: https://github.com/apache/spark/pull/25028#issuecomment-548663422
 
 
   Another test query:
   
   ```
   SELECT TRANSFORM(key, abs(key))
   USING 'cat'
   FROM (SELECT DISTINCT key FROM src);
   ```
   
   The physical plan looks different with this PR applied. in particular, 
HashAggregate gets another output column, while it should be just one:
   
   `HashAggregate(keys=[key#18], functions=[], output=[key#18, 
**another_output**])
   `


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[GitHub] [spark] SparkQA commented on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
SparkQA commented on issue #26331: [SPARK-29670][core] Make executor's 
bindAddress configurable
URL: https://github.com/apache/spark/pull/26331#issuecomment-548663478
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO 
NOT MERGE -- remove py27 support for jenkins tests
URL: https://github.com/apache/spark/pull/26330#issuecomment-548663134
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO 
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[GitHub] [spark] AmplabJenkins commented on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
AmplabJenkins commented on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT 
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URL: https://github.com/apache/spark/pull/26330#issuecomment-548663134
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
SparkQA removed a comment on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT 
MERGE -- remove py27 support for jenkins tests
URL: https://github.com/apache/spark/pull/26330#issuecomment-548638442
 
 
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[GitHub] [spark] SparkQA commented on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- remove py27 support for jenkins tests

2019-10-31 Thread GitBox
SparkQA commented on issue #26330: [WIP][SPARK-29672][PYSPARK] DO NOT MERGE -- 
remove py27 support for jenkins tests
URL: https://github.com/apache/spark/pull/26330#issuecomment-548662859
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26331: [SPARK-29670][core] Make 
executor's bindAddress configurable
URL: https://github.com/apache/spark/pull/26331#issuecomment-548108840
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] dbtsai commented on issue #26331: [SPARK-29670][core] Make executor's bindAddress configurable

2019-10-31 Thread GitBox
dbtsai commented on issue #26331: [SPARK-29670][core] Make executor's 
bindAddress configurable
URL: https://github.com/apache/spark/pull/26331#issuecomment-548662201
 
 
   Jenkins, test this please.


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[GitHub] [spark] uncleGen edited a comment on issue #26343: [SPARK-29683][YARN] Job will fail due to executor failures all available nodes are blacklisted

2019-10-31 Thread GitBox
uncleGen edited a comment on issue #26343: [SPARK-29683][YARN] Job will fail 
due to executor failures all available nodes are blacklisted
URL: https://github.com/apache/spark/pull/26343#issuecomment-548659551
 
 
   @srowen Yes, the new added config is used to loosen condition of checking if 
all node blacklisted in some particular use cases in my description. It makes 
the check more soft not to lead to job fail directly, but not generalize.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL] CalendarInterval should have 3 fields: months, days and microseconds

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL] 
CalendarInterval should have 3 fields: months, days and microseconds
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL] CalendarInterval should have 3 fields: months, days and microseconds

2019-10-31 Thread GitBox
AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL] 
CalendarInterval should have 3 fields: months, days and microseconds
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[GitHub] [spark] SparkQA commented on issue #26134: [SPARK-29486][SQL] CalendarInterval should have 3 fields: months, days and microseconds

2019-10-31 Thread GitBox
SparkQA commented on issue #26134: [SPARK-29486][SQL] CalendarInterval should 
have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-548660756
 
 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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