[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

2018-01-06 Thread Ngone51
Github user Ngone51 commented on the issue: https://github.com/apache/spark/pull/20056 @vanzin @squito Can you have a look at this pr ? Thanks! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

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[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

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[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

2018-01-06 Thread SparkQA
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[GitHub] spark pull request #20174: [SPARK-22951][SQL] aggregate should not produce e...

2018-01-06 Thread liufengdb
Github user liufengdb commented on a diff in the pull request: https://github.com/apache/spark/pull/20174#discussion_r160042482 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala --- @@ -245,11 +252,15 @@ case class

[GitHub] spark issue #20174: [SPARK-22951][SQL] aggregate should not produce empty ro...

2018-01-06 Thread SparkQA
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[GitHub] spark issue #20174: [SPARK-22951][SQL] aggregate should not produce empty ro...

2018-01-06 Thread SparkQA
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[GitHub] spark issue #20176: [SPARK-22981][SQL] Fix incorrect results of Casting Stru...

2018-01-06 Thread SparkQA
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[GitHub] spark pull request #20176: [SPARK-22981][SQL] Fix incorrect results of Casti...

2018-01-06 Thread maropu
Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/20176#discussion_r160041886 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala --- @@ -259,6 +259,29 @@ case class Cast(child: Expression,

[GitHub] spark pull request #20176: [SPARK-22981][SQL] Fix incorrect results of Casti...

2018-01-06 Thread maropu
GitHub user maropu opened a pull request: https://github.com/apache/spark/pull/20176 [SPARK-22981][SQL] Fix incorrect results of Casting Struct to String ## What changes were proposed in this pull request? This pr fixed the issue when casting structs into strings; ```

[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

2018-01-06 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/20166 ok, I'll fix struct in a next following pr first. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

2018-01-06 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/20146 also cc @jkbradley @MLnick for review. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional

[GitHub] spark pull request #20166: [SPARK-22973][SQL] Fix incorrect results of Casti...

2018-01-06 Thread asfgit
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[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

2018-01-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20166 merging to master/2.3! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

2018-01-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20166 I think this is a bug, in `Dataset.showString` I see code like ``` case seq: Seq[_] => seq.mkString("[", ", ", "]") ``` Which means we do want to show strings like `[[1, 2], [3],

[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

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[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

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[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

2018-01-06 Thread SparkQA
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[GitHub] spark issue #20013: [SPARK-20657][core] Speed up rendering of the stages pag...

2018-01-06 Thread gengliangwang
Github user gengliangwang commented on the issue: https://github.com/apache/spark/pull/20013 The code looks good. But it is a lot of changes in SHS, I suggest running more tests(real workloads) before merge. --- -

[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

2018-01-06 Thread SparkQA
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[GitHub] spark issue #20174: [SPARK-22951][SQL] aggregate should not produce empty ro...

2018-01-06 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/20174 (This is not related to this pr and too trivial things though, I just leave comments) `PropagateEmptyRelation` does not collapse `spark.emptyDataFrame.dropDuplicates` because `spark.emptyDataFrame`

[GitHub] spark pull request #20174: [SPARK-22951][SQL] aggregate should not produce e...

2018-01-06 Thread maropu
Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/20174#discussion_r160040260 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala --- @@ -666,4 +666,16 @@ class DataFrameAggregateSuite extends

[GitHub] spark pull request #20174: [SPARK-22951][SQL] aggregate should not produce e...

2018-01-06 Thread maropu
Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/20174#discussion_r160040102 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala --- @@ -106,6 +106,8 @@ case class HashAggregateExec(

[GitHub] spark pull request #20174: [SPARK-22951][SQL] aggregate should not produce e...

2018-01-06 Thread maropu
Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/20174#discussion_r160040256 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala --- @@ -666,4 +666,16 @@ class DataFrameAggregateSuite extends

[GitHub] spark pull request #20174: [SPARK-22951][SQL] aggregate should not produce e...

2018-01-06 Thread maropu
Github user maropu commented on a diff in the pull request: https://github.com/apache/spark/pull/20174#discussion_r160040214 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala --- @@ -245,11 +252,15 @@ case class HashAggregateExec(

[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

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[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

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2018-01-06 Thread SparkQA
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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

2018-01-06 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/20171 ``` from pyspark.sql.functions import pandas_udf from pyspark.sql.functions import col, lit from pyspark.sql.types import LongType df = spark.range(3) f = pandas_udf(lambda x,

[GitHub] spark pull request #20146: [SPARK-11215][ML] Add multiple columns support to...

2018-01-06 Thread viirya
Github user viirya commented on a diff in the pull request: https://github.com/apache/spark/pull/20146#discussion_r160039165 --- Diff: R/pkg/tests/fulltests/test_mllib_classification.R --- @@ -348,12 +348,12 @@ test_that("spark.mlp", { # Test random seed #

[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

2018-01-06 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/20146 Ok. I use a handcrafted tiny dataset to replace iris in the failed test. --- - To unsubscribe, e-mail:

[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

2018-01-06 Thread SparkQA
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[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

2018-01-06 Thread SparkQA
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[GitHub] spark issue #16209: [SPARK-10849][SQL] Adds option to the JDBC data source w...

2018-01-06 Thread sureshthalamati
Github user sureshthalamati commented on the issue: https://github.com/apache/spark/pull/16209 @cbyn The specified types should be valid spark sql data types. LONGTEXT probably is not one of those types supported by spark sql syntax. @robbyki Problem with dialect as you

[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

2018-01-06 Thread dongjoon-hyun
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[GitHub] spark issue #20072: [SPARK-22790][SQL] add a configurable factor to describe...

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[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

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[GitHub] spark issue #18576: [SPARK-21351][SQL] Update nullability based on children'...

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[GitHub] spark issue #20072: [SPARK-22790][SQL] add a configurable factor to describe...

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[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

2018-01-06 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/20146 I think all dataset with a string order get indexed, as far as I recall? Pick existing R dataset is just a convenience, we can also make up a few lines of data if that works out better.

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark pull request #20175: [HOTFIX] Fix style checking failure

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Github user CodingCat commented on the issue: https://github.com/apache/spark/pull/20072 @cloud-fan @rxin @wzhfy @felixcheung @gatorsmile thanks the review, the new name of the parameter and test are added --- - To

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[GitHub] spark issue #20175: [HOTFIX] Fix style checking failure

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[GitHub] spark issue #20175: [HOTFIX] Fix style checking failure

2018-01-06 Thread SparkQA
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[GitHub] spark issue #20056: [SPARK-22878] [CORE] Count totalDroppedEvents for LiveLi...

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[GitHub] spark pull request #20173: [SPARK-22901][PYTHON][FOLLOWUP] Adds the doc for ...

2018-01-06 Thread asfgit
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[GitHub] spark issue #20146: [SPARK-11215][ML] Add multiple columns support to String...

2018-01-06 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/20146 Hmm, I reconsider this https://github.com/apache/spark/pull/20146#pullrequestreview-87070102. Even we use a dataset without duplicate values, if the string indexer order from R glm is different

[GitHub] spark issue #20175: [HOTFIX] Fix style checking failure

2018-01-06 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/20175 @dongjoon-hyun The JAVA style check is disabled. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

[GitHub] spark issue #20175: [HOTFIX] Fix style checking failure

2018-01-06 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/20175 @gatorsmile . Could you check Java style, too? ``` $ dev/lint-java Using `mvn` from path: /usr/local/maven-3.5.2/bin/mvn Checkstyle checks failed at following occurrences:

[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

2018-01-06 Thread dongjoon-hyun
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[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

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[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

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[GitHub] spark issue #20175: [HOTFIX] Fix style checking failure

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[GitHub] spark pull request #20175: [HOTFIX] Fix style checking failure

2018-01-06 Thread gatorsmile
GitHub user gatorsmile opened a pull request: https://github.com/apache/spark/pull/20175 [HOTFIX] Fix style checking failure ## What changes were proposed in this pull request? This PR is to fix the style checking failure. ## How was this patch tested? N/A You can

[GitHub] spark issue #20166: [SPARK-22973][SQL] Fix incorrect results of Casting Map ...

2018-01-06 Thread maropu
Github user maropu commented on the issue: https://github.com/apache/spark/pull/20166 BTW, the current `Datset.showString` prints rows thru `RowEncoder` deserializers like; ``` scala> Seq(Seq(Seq(1, 2), Seq(3), Seq(4, 5, 6))).toDF("a").show(false)

[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark issue #20172: [SPARK-22979][PYTHON][SQL] Avoid per-record type dispatc...

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[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

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[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

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[GitHub] spark issue #19943: [SPARK-16060][SQL] Support Vectorized ORC Reader

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[GitHub] spark issue #20174: S[SPARK-22951][SQL] aggregate should not produce empty r...

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