[GitHub] [spark] AmplabJenkins removed a comment on issue #24666: [SPARK-27482][SQL][WEBUI] Show BroadcastHashJoinExec numOutputRows statistics info on SparkSQL UI page

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24668: [SPARK-27676][SQL][SS] InMemoryFileIndex should respect spark.sql.files.ignoreMissingFiles

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[GitHub] [spark] SparkQA removed a comment on issue #24666: [SPARK-27482][SQL][WEBUI] Show BroadcastHashJoinExec numOutputRows statistics info on SparkSQL UI page

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SparkQA removed a comment on issue #24666: [SPARK-27482][SQL][WEBUI] Show 
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[GitHub] [spark] AmplabJenkins commented on issue #24668: [SPARK-27676][SQL][SS] InMemoryFileIndex should respect spark.sql.files.ignoreMissingFiles

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[GitHub] [spark] SparkQA removed a comment on issue #24668: [SPARK-27676][SQL][SS] InMemoryFileIndex should respect spark.sql.files.ignoreMissingFiles

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SparkQA removed a comment on issue #24668: [SPARK-27676][SQL][SS] 
InMemoryFileIndex should respect spark.sql.files.ignoreMissingFiles
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[GitHub] [spark] SparkQA commented on issue #24666: [SPARK-27482][SQL][WEBUI] Show BroadcastHashJoinExec numOutputRows statistics info on SparkSQL UI page

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URL: https://github.com/apache/spark/pull/24666#issuecomment-495481594
 
 
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[GitHub] [spark] SparkQA commented on issue #24668: [SPARK-27676][SQL][SS] InMemoryFileIndex should respect spark.sql.files.ignoreMissingFiles

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[GitHub] [spark] gatorsmile commented on issue #24688: [SPARK-26145][SQL] Support Hive 3.0 metastore

2019-05-23 Thread GitBox
gatorsmile commented on issue #24688: [SPARK-26145][SQL] Support Hive 3.0 
metastore
URL: https://github.com/apache/spark/pull/24688#issuecomment-495475119
 
 
   
https://issues.apache.org/jira/browse/HIVE-19531?jql=project%20%3D%20HIVE%20AND%20fixVersion%20in%20(3.0.1%2C%203.1.2%2C%203.1.0%2C%203.1.1)%20AND%20component%20%3D%20Metastore
   
   I checked the above list. The quality of Hive 3.0 might be bad, but the 
metastore component [which is what this PR cares] does not have serious bugs. 
Is my understanding right?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24647: [SPARK-27776][SQL]Avoid duplicate Java reflection in DataSource.

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[GitHub] [spark] SparkQA removed a comment on issue #24647: [SPARK-27776][SQL]Avoid duplicate Java reflection in DataSource.

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[GitHub] [spark] SparkQA commented on issue #24647: [SPARK-27776][SQL]Avoid duplicate Java reflection in DataSource.

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[GitHub] [spark] SparkQA commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

2019-05-23 Thread GitBox
SparkQA commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses 
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URL: https://github.com/apache/spark/pull/24681#issuecomment-495471313
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

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[GitHub] [spark] AmplabJenkins commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

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[GitHub] [spark] AmplabJenkins commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

2019-05-23 Thread GitBox
AmplabJenkins removed a comment on issue #24681: [SPARK-27809] [SQL] Make 
optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement
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   Can one of the admins verify this patch?


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[GitHub] [spark] gatorsmile commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses order insensitive for CREATE DATABASE/VIEW SQL statement

2019-05-23 Thread GitBox
gatorsmile commented on issue #24681: [SPARK-27809] [SQL] Make optional clauses 
order insensitive for CREATE DATABASE/VIEW SQL statement
URL: https://github.com/apache/spark/pull/24681#issuecomment-495470711
 
 
   test this please


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
AmplabJenkins removed a comment on issue #24685: [SPARK-27814] The cast 
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[GitHub] [spark] SparkQA removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

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SparkQA removed a comment on issue #24685: [SPARK-27814] The cast operation for 
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URL: https://github.com/apache/spark/pull/24685#issuecomment-495454649
 
 
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[GitHub] [spark] SparkQA commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
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partition key may push down uncorrect filter, which  is fatal.
URL: https://github.com/apache/spark/pull/24685#issuecomment-495469928
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

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[GitHub] [spark] SparkQA commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
SparkQA commented on issue #24685: [SPARK-27814] The cast operation for 
partition key may push down uncorrect filter, which  is fatal.
URL: https://github.com/apache/spark/pull/24685#issuecomment-495468932
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

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[GitHub] [spark] dongjoon-hyun commented on issue #24682: [SPARK-27762][SQL] [FOLLOWUP] Add behavior change for Avro writer in migration guide

2019-05-23 Thread GitBox
dongjoon-hyun commented on issue #24682: [SPARK-27762][SQL] [FOLLOWUP] Add 
behavior change for Avro writer in migration guide
URL: https://github.com/apache/spark/pull/24682#issuecomment-495468265
 
 
   Shall we create another JIRA issue for this because this becomes beyond `Add 
behavior change for Avro writer in migration guide`?


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[GitHub] [spark] beliefer commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive table that could choose some columns in target table flexibly.

2019-05-23 Thread GitBox
beliefer commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive 
table that could choose some columns in target table flexibly.
URL: https://github.com/apache/spark/pull/24372#issuecomment-495467953
 
 
   > Adding @mgaido91 and @maropu since it seems ANSI compliance issue.
   
   Thansks for your focus and promote.


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[GitHub] [spark] dongjoon-hyun commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on issue #24233: [SPARK-26356][SQL] remove SaveMode 
from data source v2
URL: https://github.com/apache/spark/pull/24233#issuecomment-495467864
 
 
   Thank you for pinging me, @cloud-fan . Mostly, it looks good to me. I have 
only one concern about `.mode("default")` behavior, 
https://github.com/apache/spark/pull/24233#discussion_r287206462 and the other 
comments are minor.


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[GitHub] [spark] HyukjinKwon commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive table that could choose some columns in target table flexibly.

2019-05-23 Thread GitBox
HyukjinKwon commented on issue #24372: [SPARK-27462][SQL] Enhance insert into 
hive table that could choose some columns in target table flexibly.
URL: https://github.com/apache/spark/pull/24372#issuecomment-495467369
 
 
   Adding @mgaido91 and @maropu since it seems ANSI compliance issue.


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[GitHub] [spark] beliefer commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive table that could choose some columns in target table flexibly.

2019-05-23 Thread GitBox
beliefer commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive 
table that could choose some columns in target table flexibly.
URL: https://github.com/apache/spark/pull/24372#issuecomment-495464825
 
 
   > @beliefer can you actually check if this is ANSI standard, rather than 
comparing to Hive?
   
   Yes, it is also a ANSI standard. 
[https://en.wikipedia.org/wiki/Insert_(SQL)](https://en.wikipedia.org/wiki/Insert_(SQL))


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24690: [SPARK-27711][CORE] Unset InputFileBlockHolder at the end of tasks

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24693: [SPARK-27829][SQL] In Dataset.joinWith inner joins, don't nest data before shuffling

2019-05-23 Thread GitBox
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[GitHub] [spark] zhengruifeng commented on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
zhengruifeng commented on issue #24648: [SPARK-2][ML] Eliminate uncessary 
sliding job in AreaUnderCurve
URL: https://github.com/apache/spark/pull/24648#issuecomment-495463566
 
 
   @srowen  I made a detailed review on `ML.XXXEvaluator` & `MLLIB.XXXMetrics` 
recently and find another several places seems needing to be improved. 
   For example:
   1, all metrics in `MultilabelMetrics` & `MulticlassMetrics` can be computed 
on only one pass, however, in current impl each metric needs one pass.
   2, `ML.XXXEvaluator` only supports only one metric at once, which means at 
least one pass is needed for one metric. I think we can cache the 
`MLLIB.XXXMetrics` in the impl, and in the following calls, if the input 
dataset donot change, we can direct get the metric from cached 
`MLLIB.XXXMetrics` without accumlation on the input dataset.
   3, `MultiLabelClassificationEvalutaor` is missing now.
   4, in `BinaryClassificationMetrics`, to control the #Bins,  direct setting 
the #Partition in the sort stage seems more reasonable than current impl
   
   Would you mind if I open a umbrella ticket "Evaluator & Metrics 
improvements" to track above points and opened tickets on `sliding job` and 
`SSreg`?
   


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[GitHub] [spark] SparkQA removed a comment on issue #24690: [SPARK-27711][CORE] Unset InputFileBlockHolder at the end of tasks

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[`48de77b`](https://github.com/apache/spark/commit/48de77b56bbeaf91f595dec7e1621b7f105076c1).
* This patch **fails PySpark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] JoshRosen commented on a change in pull request #24693: [SPARK-27829][SQL] In Dataset.joinWith inner joins, don't nest data before shuffling

2019-05-23 Thread GitBox
JoshRosen commented on a change in pull request #24693: [SPARK-27829][SQL] In 
Dataset.joinWith inner joins, don't nest data before shuffling
URL: https://github.com/apache/spark/pull/24693#discussion_r287207443
 
 

 ##
 File path: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
 ##
 @@ -485,6 +507,28 @@ class DatasetSuite extends QueryTest with 
SharedSQLContext {
 assert(e4.contains("Invalid join type in joinWith: " + LeftAnti.sql))
   }
 
+  test("joinWith left_outer") {
 
 Review comment:
   I realized there's an existing left join test, so I'll remove this new test 
case and fold in the schema checks into the existing case.


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[GitHub] [spark] SparkQA commented on issue #24693: [SPARK-27829][SQL] In Dataset.joinWith inner joins, don't nest data before shuffling

2019-05-23 Thread GitBox
SparkQA commented on issue #24693: [SPARK-27829][SQL] In Dataset.joinWith inner 
joins, don't nest data before shuffling
URL: https://github.com/apache/spark/pull/24693#issuecomment-495462723
 
 
   **[Test build #105750 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/105750/testReport)**
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[`33bb4af`](https://github.com/apache/spark/commit/33bb4af4600b772b8eb204f72817d51d9e984559).


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[GitHub] [spark] JoshRosen opened a new pull request #24693: [SPARK-27829][SQL] In Dataset.joinWith inner joins, don't nest data before shuffling

2019-05-23 Thread GitBox
JoshRosen opened a new pull request #24693: [SPARK-27829][SQL] In 
Dataset.joinWith inner joins, don't nest data before shuffling
URL: https://github.com/apache/spark/pull/24693
 
 
   ## What changes were proposed in this pull request?
   
   In order to support outer joins with null top-level objects, SPARK-15441 
modified Dataset.joinWith to project both inputs into single-column structs 
prior to the join.
   
   For inner joins, however, this step is unnecessary and actually harms 
performance: performing the nesting before the join increases the shuffled data 
size. As an optimization for inner joins only, we can move this nesting to 
occur after the join (effectively switching back to the pre- SPARK-15441 
behavior; see #13425).
   
   ## How was this patch tested?
   
   Existing tests, which I strengthened to also make assertions about the join 
result's nullability (since this guards against a bug I almost introduced 
during prototyping).


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] 
remove SaveMode from data source v2
URL: https://github.com/apache/spark/pull/24233#discussion_r287206904
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##
 @@ -78,15 +80,14 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
* @since 1.4.0
*/
   def mode(saveMode: String): DataFrameWriter[T] = {
-this.mode = saveMode.toLowerCase(Locale.ROOT) match {
+mode(saveMode.toLowerCase(Locale.ROOT) match {
   case "overwrite" => SaveMode.Overwrite
   case "append" => SaveMode.Append
   case "ignore" => SaveMode.Ignore
   case "error" | "errorifexists" | "default" => SaveMode.ErrorIfExists
 
 Review comment:
   Could you add a test coverage for this? It seems that we don't have yet.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] 
remove SaveMode from data source v2
URL: https://github.com/apache/spark/pull/24233#discussion_r287206462
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##
 @@ -78,15 +80,14 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
* @since 1.4.0
*/
   def mode(saveMode: String): DataFrameWriter[T] = {
-this.mode = saveMode.toLowerCase(Locale.ROOT) match {
+mode(saveMode.toLowerCase(Locale.ROOT) match {
   case "overwrite" => SaveMode.Overwrite
   case "append" => SaveMode.Append
   case "ignore" => SaveMode.Ignore
   case "error" | "errorifexists" | "default" => SaveMode.ErrorIfExists
 
 Review comment:
   This should be changed because "default" is not `ErrorIfExists` for DSv2.


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[GitHub] [spark] HyukjinKwon commented on issue #24372: [SPARK-27462][SQL] Enhance insert into hive table that could choose some columns in target table flexibly.

2019-05-23 Thread GitBox
HyukjinKwon commented on issue #24372: [SPARK-27462][SQL] Enhance insert into 
hive table that could choose some columns in target table flexibly.
URL: https://github.com/apache/spark/pull/24372#issuecomment-495461541
 
 
   @beliefer can you actually check if this is ANSI standard, rather than 
comparing to Hive?


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] 
remove SaveMode from data source v2
URL: https://github.com/apache/spark/pull/24233#discussion_r287206026
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##
 @@ -56,13 +55,16 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
* `SaveMode.Overwrite`: overwrite the existing data.
* `SaveMode.Append`: append the data.
* `SaveMode.Ignore`: ignore the operation (i.e. no-op).
-   * `SaveMode.ErrorIfExists`: default option, throw an exception at 
runtime.
+   * `SaveMode.ErrorIfExists`: throw an exception at runtime.
* 
+   * 
+   * When writing to data source v1, the default option is `ErrorIfExist`. 
When writing to data
 
 Review comment:
   nit `ErrorIfExist` -> `ErrorIfExists`


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[GitHub] [spark] AmplabJenkins commented on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
AmplabJenkins commented on issue #24648: [SPARK-2][ML] Eliminate uncessary 
sliding job in AreaUnderCurve
URL: https://github.com/apache/spark/pull/24648#issuecomment-495459183
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
AmplabJenkins removed a comment on issue #24648: [SPARK-2][ML] Eliminate 
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URL: https://github.com/apache/spark/pull/24648#issuecomment-495459182
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
AmplabJenkins commented on issue #24648: [SPARK-2][ML] Eliminate uncessary 
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URL: https://github.com/apache/spark/pull/24648#issuecomment-495459182
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
AmplabJenkins removed a comment on issue #24648: [SPARK-2][ML] Eliminate 
uncessary sliding job in AreaUnderCurve
URL: https://github.com/apache/spark/pull/24648#issuecomment-495459183
 
 
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24348: [SPARK-27444][SQL] multi-select can be used in subquery

2019-05-23 Thread GitBox
HyukjinKwon commented on a change in pull request #24348: [SPARK-27444][SQL] 
multi-select can be used in subquery
URL: https://github.com/apache/spark/pull/24348#discussion_r287204320
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ##
 @@ -132,15 +132,19 @@ class PlanParserSuite extends AnalysisTest {
   table("a").select(star()).union(table("a").where('s < 
10).select(star(
 intercept(
   "from a select * select * from x where a.s < 10",
-  "Multi-select queries cannot have a FROM clause in their individual 
SELECT statements")
+  "This select statement can not have FROM cause as its already specified 
upfront")
 
 Review comment:
   it's fine. I didn't mean we should fix now. just wanted to say it :-).


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[GitHub] [spark] SparkQA removed a comment on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
SparkQA removed a comment on issue #24648: [SPARK-2][ML] Eliminate 
uncessary sliding job in AreaUnderCurve
URL: https://github.com/apache/spark/pull/24648#issuecomment-495448695
 
 
   **[Test build #105743 has 
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[GitHub] [spark] SparkQA commented on issue #24648: [SPARK-27777][ML] Eliminate uncessary sliding job in AreaUnderCurve

2019-05-23 Thread GitBox
SparkQA commented on issue #24648: [SPARK-2][ML] Eliminate uncessary 
sliding job in AreaUnderCurve
URL: https://github.com/apache/spark/pull/24648#issuecomment-495459003
 
 
   **[Test build #105743 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/105743/testReport)**
 for PR 24648 at commit 
[`79e5eea`](https://github.com/apache/spark/commit/79e5eea4855ebb305a4dd29568915086f9cbf82f).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] Add count_if functions

2019-05-23 Thread GitBox
HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] 
Add count_if functions
URL: https://github.com/apache/spark/pull/24335#discussion_r287203884
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
 ##
 @@ -373,6 +373,25 @@ object functions {
   def countDistinct(columnName: String, columnNames: String*): Column =
 countDistinct(Column(columnName), columnNames.map(Column.apply) : _*)
 
+  /**
+   * Aggregate function: returns the number of true values in a group.
+   *
+   * @group agg_funcs
+   * @since 3.0.0
+   */
+  def count_if(e: Column): Column = withAggregateFunction {
 
 Review comment:
   I wouldn't add those functions here for now (see 
https://github.com/apache/spark/blob/e4f04654618b1644678c18c4331418fddb2982e8/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L42-L56)
   
   If we're going to add, we should add it in Python and R side as well.


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[GitHub] [spark] HyukjinKwon commented on issue #24335: [SPARK-27425][SQL] Add count_if functions

2019-05-23 Thread GitBox
HyukjinKwon commented on issue #24335: [SPARK-27425][SQL] Add count_if functions
URL: https://github.com/apache/spark/pull/24335#issuecomment-495458702
 
 
   cc @cloud-fan too


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] 
remove SaveMode from data source v2
URL: https://github.com/apache/spark/pull/24233#discussion_r287203760
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##
 @@ -268,9 +269,26 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
 
   import 
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
   provider.getTable(dsOptions) match {
+// TODO: for backward compatibility reasons, the builtin file source 
needs to support all
+// the save modes, which violates the semantic of `TableProvider`. 
Here we special-case
 
 Review comment:
   nit. `Here we special-case`?


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] Add count_if functions

2019-05-23 Thread GitBox
HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] 
Add count_if functions
URL: https://github.com/apache/spark/pull/24335#discussion_r287203802
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountIf.scala
 ##
 @@ -0,0 +1,73 @@
+/*
 
 Review comment:
   Can we do `RuntimeReplaceable` like `Every` or `Any`?


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on a change in pull request #24233: [SPARK-26356][SQL] 
remove SaveMode from data source v2
URL: https://github.com/apache/spark/pull/24233#discussion_r287203658
 
 

 ##
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##
 @@ -268,9 +269,26 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
 
   import 
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
   provider.getTable(dsOptions) match {
+// TODO: for backward compatibility reasons, the builtin file source 
needs to support all
 
 Review comment:
   Can we have an IDed TODO? `TODO:` -> `TODO(SPARK-XXX):`?


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[GitHub] [spark] SparkQA commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
SparkQA commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data 
source v2
URL: https://github.com/apache/spark/pull/24233#issuecomment-495458235
 
 
   **[Test build #105749 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/105749/testReport)**
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[`22ba355`](https://github.com/apache/spark/commit/22ba355c7dd08229343851be0e38746acd73047e).


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] Add count_if functions

2019-05-23 Thread GitBox
HyukjinKwon commented on a change in pull request #24335: [SPARK-27425][SQL] 
Add count_if functions
URL: https://github.com/apache/spark/pull/24335#discussion_r287203613
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
 ##
 @@ -894,4 +894,29 @@ class DataFrameAggregateSuite extends QueryTest with 
SharedSQLContext {
 error.message.contains("function min_by does not support ordering on 
type map"))
 }
   }
+
+  test("SPARK-27425: count_if function") {
+def checkError(df: => DataFrame): Unit = {
+  val thrownException = the [AnalysisException] thrownBy 
df.queryExecution.analyzed
+  assert(thrownException.message.contains("function count_if requires 
boolean type"))
+}
+
+checkAnswer(
+  testData.agg(count_if('key % 2 === 0), count_if('key > 50), 
count_if('key < 50)),
+  Row(50L, 50L, 49L))
+checkAnswer(
+  sql("SELECT COUNT_IF(key % 2 = 0), COUNT_IF(key > 50), COUNT_IF(key < 
50) FROM testData"),
+  Row(50L, 50L, 49L))
+
+checkAnswer(
+  testData2.groupBy('a).agg(count_if('b % 2 === 0)),
+  Seq(Row(1, 1L), Row(2, 1L), Row(3, 1L)))
+checkAnswer(
+  sql("SELECT a, COUNT_IF(b % 2 = 0) FROM testData2 GROUP BY a"),
+  Seq(Row(1, 1L), Row(2, 1L), Row(3, 1L)))
 
 Review comment:
   Can we add a test with `null` as well?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

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[GitHub] [spark] AmplabJenkins commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
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[GitHub] [spark] cloud-fan commented on a change in pull request #24348: [SPARK-27444][SQL] multi-select can be used in subquery

2019-05-23 Thread GitBox
cloud-fan commented on a change in pull request #24348: [SPARK-27444][SQL] 
multi-select can be used in subquery
URL: https://github.com/apache/spark/pull/24348#discussion_r287203319
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ##
 @@ -132,15 +132,19 @@ class PlanParserSuite extends AnalysisTest {
   table("a").select(star()).union(table("a").where('s < 
10).select(star(
 intercept(
   "from a select * select * from x where a.s < 10",
-  "Multi-select queries cannot have a FROM clause in their individual 
SELECT statements")
+  "This select statement can not have FROM cause as its already specified 
upfront")
 
 Review comment:
   this is copied from the old error message: 
https://github.com/apache/spark/pull/24348/files#diff-9847f5cef7cf7fbc5830fbc6b779ee10L133
   
   We can update this


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[GitHub] [spark] AmplabJenkins commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

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[GitHub] [spark] cloud-fan closed pull request #24617: [SPARK-27732][SQL] Add v2 CreateTable implementation.

2019-05-23 Thread GitBox
cloud-fan closed pull request #24617: [SPARK-27732][SQL] Add v2 CreateTable 
implementation.
URL: https://github.com/apache/spark/pull/24617
 
 
   


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[GitHub] [spark] cloud-fan commented on issue #24617: [SPARK-27732][SQL] Add v2 CreateTable implementation.

2019-05-23 Thread GitBox
cloud-fan commented on issue #24617: [SPARK-27732][SQL] Add v2 CreateTable 
implementation.
URL: https://github.com/apache/spark/pull/24617#issuecomment-495457222
 
 
   thanks, merging to master!


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[GitHub] [spark] dongjoon-hyun commented on issue #24233: [SPARK-26356][SQL] remove SaveMode from data source v2

2019-05-23 Thread GitBox
dongjoon-hyun commented on issue #24233: [SPARK-26356][SQL] remove SaveMode 
from data source v2
URL: https://github.com/apache/spark/pull/24233#issuecomment-495457099
 
 
   Retest this please.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

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[GitHub] [spark] AmplabJenkins commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

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[GitHub] [spark] AmplabJenkins commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

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[GitHub] [spark] SparkQA commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
SparkQA commented on issue #24685: [SPARK-27814] The cast operation for 
partition key may push down uncorrect filter, which  is fatal.
URL: https://github.com/apache/spark/pull/24685#issuecomment-495454649
 
 
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[GitHub] [spark] SparkQA commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

2019-05-23 Thread GitBox
SparkQA commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join 
problems
URL: https://github.com/apache/spark/pull/24442#issuecomment-495454652
 
 
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[GitHub] [spark] dongjoon-hyun commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame self-join problems

2019-05-23 Thread GitBox
dongjoon-hyun commented on issue #24442: [SPARK-27547][SQL] Fix DataFrame 
self-join problems
URL: https://github.com/apache/spark/pull/24442#issuecomment-495454458
 
 
   Retest this please.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #24348: [SPARK-27444][SQL] multi-select can be used in subquery

2019-05-23 Thread GitBox
HyukjinKwon commented on a change in pull request #24348: [SPARK-27444][SQL] 
multi-select can be used in subquery
URL: https://github.com/apache/spark/pull/24348#discussion_r287200421
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala
 ##
 @@ -132,15 +132,19 @@ class PlanParserSuite extends AnalysisTest {
   table("a").select(star()).union(table("a").where('s < 
10).select(star(
 intercept(
   "from a select * select * from x where a.s < 10",
-  "Multi-select queries cannot have a FROM clause in their individual 
SELECT statements")
+  "This select statement can not have FROM cause as its already specified 
upfront")
 
 Review comment:
   you know what? cannot is correct too and more usual :-).


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
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partition key may push down uncorrect filter, which  is fatal.
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[GitHub] [spark] AmplabJenkins commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
AmplabJenkins commented on issue #24685: [SPARK-27814] The cast operation for 
partition key may push down uncorrect filter, which  is fatal.
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24628: [SPARK-27749][SQL][test-hadoop3.2] hadoop-3.2 support hive-thriftserver

2019-05-23 Thread GitBox
dongjoon-hyun edited a comment on issue #24628: 
[SPARK-27749][SQL][test-hadoop3.2] hadoop-3.2 support hive-thriftserver
URL: https://github.com/apache/spark/pull/24628#issuecomment-495453546
 
 
   @wangyum . Just to be clear, did you regenerate Thrift related code always 
for Spark?
   > (Note that we only migrate code without adding features, such as HIVE-4924 
and HIVE-15473).
   
   I assumed that this generated code came from Hive 3.5.3, but the generated 
code is not the same with Hive 3.5.3. Please describe how you get this code in 
the PR description.
   
   cc @gatorsmile 


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[GitHub] [spark] SparkQA commented on issue #24685: [SPARK-27814] The cast operation for partition key may push down uncorrect filter, which is fatal.

2019-05-23 Thread GitBox
SparkQA commented on issue #24685: [SPARK-27814] The cast operation for 
partition key may push down uncorrect filter, which  is fatal.
URL: https://github.com/apache/spark/pull/24685#issuecomment-495453504
 
 
   **[Test build #105746 has 
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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24628: [SPARK-27749][SQL][test-hadoop3.2] hadoop-3.2 support hive-thriftserver

2019-05-23 Thread GitBox
dongjoon-hyun edited a comment on issue #24628: 
[SPARK-27749][SQL][test-hadoop3.2] hadoop-3.2 support hive-thriftserver
URL: https://github.com/apache/spark/pull/24628#issuecomment-495453546
 
 
   @wangyum . Just to be clear, did you regenerate Thrift related code always 
for Spark?
   > (Note that we only migrate code without adding features, such as HIVE-4924 
and HIVE-15473).
   
   I assumed that this generated code came from Hive 3.5.3, but the generated 
code is not the same with Hive 3.5.3.
   
   cc @gatorsmile 


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[GitHub] [spark] dongjoon-hyun commented on issue #24628: [SPARK-27749][SQL][test-hadoop3.2] hadoop-3.2 support hive-thriftserver

2019-05-23 Thread GitBox
dongjoon-hyun commented on issue #24628: [SPARK-27749][SQL][test-hadoop3.2] 
hadoop-3.2 support hive-thriftserver
URL: https://github.com/apache/spark/pull/24628#issuecomment-495453546
 
 
   @wangyum . Just to be clear, did you regenerate Thrift related code always 
for Spark?
   > (Note that we only migrate code without adding features, such as HIVE-4924 
and HIVE-15473).
   
   I assumed that this generate code comes from Hive 3.5.3, but the generated 
code is not the same with Hive 3.5.3.
   
   cc @gatorsmile 


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[GitHub] [spark] HyukjinKwon commented on issue #24278: [SPARK-27350][SQL] Support create table on data source V2

2019-05-23 Thread GitBox
HyukjinKwon commented on issue #24278: [SPARK-27350][SQL] Support create table 
on data source V2
URL: https://github.com/apache/spark/pull/24278#issuecomment-495453563
 
 
   I think it's being taken over by https://github.com/apache/spark/pull/24617. 
Shall we close if I am correct?


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