[GitHub] [spark] SparkQA commented on issue #27434: [SPARK-30704][INFRA] Use jekyll-redirect-from 0.15.0 instead of the latest

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SparkQA commented on issue #27434: [SPARK-30704][INFRA] Use 
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URL: https://github.com/apache/spark/pull/27434#issuecomment-581108860
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27433: [SPARK-30682][SPARKR][SQL] Add SparkR interface for higher order functions

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[GitHub] [spark] AmplabJenkins commented on issue #27433: [SPARK-30682][SPARKR][SQL] Add SparkR interface for higher order functions

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[GitHub] [spark] SparkQA commented on issue #27433: [SPARK-30682][SPARKR][SQL] Add SparkR interface for higher order functions

2020-02-01 Thread GitBox
SparkQA commented on issue #27433: [SPARK-30682][SPARKR][SQL] Add SparkR 
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URL: https://github.com/apache/spark/pull/27433#issuecomment-581108776
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27434: [SPARK-30704][INFRA] Use jekyll-redirect-from 0.15.0 instead of the latest

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[GitHub] [spark] dongjoon-hyun opened a new pull request #27434: [SPARK-30704][INFRA] Use jekyll-redirect-from 0.15.0 instead of the latest

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dongjoon-hyun opened a new pull request #27434: [SPARK-30704][INFRA] Use 
jekyll-redirect-from 0.15.0 instead of the latest
URL: https://github.com/apache/spark/pull/27434
 
 
   …atest
   
   
   
   ### What changes were proposed in this pull request?
   
   
   
   ### Why are the changes needed?
   
   
   
   ### Does this PR introduce any user-facing change?
   
   
   
   ### How was this patch tested?
   
   


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[GitHub] [spark] SparkQA commented on issue #27278: [SPARK-30569][SQL][PYSPARK][SPARKR] Add percentile_approx DSL functions.

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[GitHub] [spark] SparkQA removed a comment on issue #27431: [MINOR][SQL] Improve readability for window execution

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[GitHub] [spark] SparkQA commented on issue #27433: [SPARK-30682][SPARKR][SQL] Add SparkR interface for higher order functions

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[GitHub] [spark] zsxwing commented on a change in pull request #27425: [SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to StaticSQLConf

2020-02-01 Thread GitBox
zsxwing commented on a change in pull request #27425: 
[SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to 
StaticSQLConf
URL: https://github.com/apache/spark/pull/27425#discussion_r373824802
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/StaticSQLConf.scala
 ##
 @@ -176,4 +176,23 @@ object StaticSQLConf {
   .internal()
   .booleanConf
   .createWithDefault(true)
+
+  val STREAMING_UI_ENABLED =
+buildStaticConf("spark.sql.streaming.ui.enabled")
+  .doc("Whether to run the structured streaming UI for the Spark 
application.")
 
 Review comment:
   nit: `Whether to run the Structured Streaming Web UI for the Spark 
application when the Spark Web UI is enabled.`


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[GitHub] [spark] zsxwing commented on a change in pull request #27425: [SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to StaticSQLConf

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zsxwing commented on a change in pull request #27425: 
[SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to 
StaticSQLConf
URL: https://github.com/apache/spark/pull/27425#discussion_r373824863
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/StaticSQLConf.scala
 ##
 @@ -176,4 +176,23 @@ object StaticSQLConf {
   .internal()
   .booleanConf
   .createWithDefault(true)
+
+  val STREAMING_UI_ENABLED =
+buildStaticConf("spark.sql.streaming.ui.enabled")
+  .doc("Whether to run the structured streaming UI for the Spark 
application.")
+  .booleanConf
+  .createWithDefault(true)
+
+  val STREAMING_UI_RETAINED_PROGRESS_UPDATES =
+buildStaticConf("spark.sql.streaming.ui.retainedProgressUpdates")
+  .doc("The number of progress updates to retain for a streaming query for 
structured " +
 
 Review comment:
   nit: `structured streaming ui` -> `Structured Streaming UI`


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[GitHub] [spark] zsxwing commented on a change in pull request #27425: [SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to StaticSQLConf

2020-02-01 Thread GitBox
zsxwing commented on a change in pull request #27425: 
[SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to 
StaticSQLConf
URL: https://github.com/apache/spark/pull/27425#discussion_r373824921
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/internal/SharedState.scala
 ##
 @@ -146,12 +146,14 @@ private[sql] class SharedState(
*/
   lazy val streamingQueryStatusListener: Option[StreamingQueryStatusListener] 
= {
 val sqlConf = SQLConf.get
 
 Review comment:
   nit: we can remove this and use `conf` in this class directly.


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[GitHub] [spark] zsxwing commented on a change in pull request #27425: [SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to StaticSQLConf

2020-02-01 Thread GitBox
zsxwing commented on a change in pull request #27425: 
[SPARK-29543][SS][FOLLOWUP] Move `spark.sql.streaming.ui.*` configs to 
StaticSQLConf
URL: https://github.com/apache/spark/pull/27425#discussion_r373824898
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/StaticSQLConf.scala
 ##
 @@ -176,4 +176,23 @@ object StaticSQLConf {
   .internal()
   .booleanConf
   .createWithDefault(true)
+
+  val STREAMING_UI_ENABLED =
+buildStaticConf("spark.sql.streaming.ui.enabled")
+  .doc("Whether to run the structured streaming UI for the Spark 
application.")
+  .booleanConf
+  .createWithDefault(true)
+
+  val STREAMING_UI_RETAINED_PROGRESS_UPDATES =
+buildStaticConf("spark.sql.streaming.ui.retainedProgressUpdates")
+  .doc("The number of progress updates to retain for a streaming query for 
structured " +
+"streaming ui.")
+  .intConf
+  .createWithDefault(100)
+
+  val STREAMING_UI_RETAINED_QUERIES =
+buildStaticConf("spark.sql.streaming.ui.retainedQueries")
+  .doc("The number of inactive queries to retain for structured streaming 
ui.")
 
 Review comment:
   ditto


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[GitHub] [spark] zero323 opened a new pull request #27433: [SPARK-30682][SPARKR][SQL] Add SparkR interface for higher order functions

2020-02-01 Thread GitBox
zero323 opened a new pull request #27433: [SPARK-30682][SPARKR][SQL] Add SparkR 
interface for higher order functions
URL: https://github.com/apache/spark/pull/27433
 
 
   
   
   ### What changes were proposed in this pull request?
   
   
   This PR add R API for invoking following higher functions:
   
   - `transform` -> `array_transform` (to avoid conflict with 
`base::transform`).
   - `exists` -> `array_exists` (to avoid conflict with `base::exists`).
   - `forall` -> `array_forall` (no conflicts, renamed for consistency)
   - `filter` -> `array_filter` (to avoid conflict with `stats::filter`).
   - `aggregate` -> `array_aggregate` (to avoid conflict with 
`stats::transform`).
   - `zip_with` -> `arrays_zip_with` (no conflicts, renamed for consistency)
   - `transform_keys`
   - `transform_values`
   - `map_filter`
   - `map_zip_with`
   
   Overall implementation follows the same pattern as proposed for PySpark 
(#27406) and reuses object supporting Scala implementation (SPARK-27297).
   
   ### Why are the changes needed?
   
   
   Currently higher order functions are available only using SQL and Scala API 
and can use only SQL expressions:
   
   ```r
   select(df, expr("transform(xs, x -> x + 1)")
   ```
   
   This is error-prone, and hard to do right, when complex logic is used 
(`when` / `otherwise`, complex objects).
   
   If this PR is accepted, above function could simply rewritten as:
   
   ```r
   select(df, transform("xs", function(x) x + 1))
   ```
   
   ### Does this PR introduce any user-facing change?
   
   
   No (but new user-facing functions are added).
   
   
   ### How was this patch tested?
   
   
   Added new unit tests.


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[GitHub] [spark] SparkQA commented on issue #27428: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

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[GitHub] [spark] bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

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bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make 
Locality wait time measure resource under utilization due to delay scheduling.
URL: https://github.com/apache/spark/pull/27207#issuecomment-581102206
 
 
   @tgravescs 
   I updated with the new config to switch to legacy behavior as well as some 
doc/variable renaming.
   I also updated the description of this PR.
   
   After reading more through `SchedulerBackend` impls:
   1. decided to assume resource offers are full resource by default, to match 
previous behavior for any `SchedulerBackend`s not touched in this PR.
   2. I only found `MesosFineGrainedSchedulerBackend` which doesn't use 
`CoarseGrainedSchedulerBackend` and decided not to touch it since it is 
deprecated and from the design looks like "all free resources" can't be tracked.
   
   Test updates are still needed, but wanted to get your feedback first.


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[GitHub] [spark] bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

2020-02-01 Thread GitBox
bmarcott edited a comment on issue #27207: [WIP][SPARK-18886][CORE] Make 
Locality wait time measure resource under utilization due to delay scheduling.
URL: https://github.com/apache/spark/pull/27207#issuecomment-581102206
 
 
   @tgravescs 
   I updated with the new config to switch to legacy behavior as well as some 
doc/variable renaming.
   
   After reading more through `SchedulerBackend` impls:
   1. decided to assume resource offers are full resource by default, to match 
previous behavior for any `SchedulerBackend`s not touched in this PR.
   2. I only found `MesosFineGrainedSchedulerBackend` which doesn't use 
`CoarseGrainedSchedulerBackend` and decided not to touch it since it is 
deprecated and from the design looks like "all free resources" can't be tracked.
   
   Test updates are still needed, but wanted to get your feedback first.


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[GitHub] [spark] bmarcott commented on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

2020-02-01 Thread GitBox
bmarcott commented on issue #27207: [WIP][SPARK-18886][CORE] Make Locality wait 
time measure resource under utilization due to delay scheduling.
URL: https://github.com/apache/spark/pull/27207#issuecomment-581102206
 
 
   @tgravescs 
   I updated with the new config to switch to legacy behavior as well as some 
doc/variable renaming.
   
   After reading more through `SchedulerBackend` impls:
   1. decided to assume resource offers are full resource by default, to match 
previous behavior for any `SchedulerBackend`s not touched in this PR.
   2. I only found `MesosFineGrainedSchedulerBackend` which doesn't use 
`CoarseGrainedSchedulerBackend` and decided not to touch it since it is 
deprecated and from the design looks like "all free resources" can't be tracked.


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[GitHub] [spark] bmarcott commented on a change in pull request #27207: [WIP][SPARK-18886][CORE] Make Locality wait time measure resource under utilization due to delay scheduling.

2020-02-01 Thread GitBox
bmarcott commented on a change in pull request #27207: [WIP][SPARK-18886][CORE] 
Make Locality wait time measure resource under utilization due to delay 
scheduling.
URL: https://github.com/apache/spark/pull/27207#discussion_r373821397
 
 

 ##
 File path: 
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
 ##
 @@ -100,6 +101,11 @@ private[spark] class TaskSchedulerImpl(
   // on this class.  Protected by `this`
   private val taskSetsByStageIdAndAttempt = new HashMap[Int, HashMap[Int, 
TaskSetManager]]
 
+  // keyed by task set stage id
+  // value is true if there have been no resources rejected due to delay 
scheduling
+  // since the last "full" resource offer
+  private val noDelayScheduleRejects = new mutable.HashMap[Int, Boolean]()
 
 Review comment:
   what do you see as pros/cons of keeping this map vs putting in TSM?
   The `TaskSchedulerImpl` is the only one setting/updating the variable based 
on knowledge only it has (no schedule delay reject).


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[GitHub] [spark] SparkQA commented on issue #27429: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-02-01 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #27432: [SPARK-28325][SQL]Support ANSI SQL: SIMILAR TO ... ESCAPE syntax

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[GitHub] [spark] SparkQA commented on issue #27432: [SPARK-28325][SQL]Support ANSI SQL: SIMILAR TO ... ESCAPE syntax

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[GitHub] [spark] beliefer closed pull request #27007: [SPARK-28325][SQL]Support ANSI SQL: SIMILAR TO ... ESCAPE syntax

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beliefer closed pull request #27007: [SPARK-28325][SQL]Support ANSI SQL: 
SIMILAR TO ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/27007
 
 
   


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[GitHub] [spark] beliefer opened a new pull request #27432: [SPARK-28325][SQL]Support ANSI SQL: SIMILAR TO ... ESCAPE syntax

2020-02-01 Thread GitBox
beliefer opened a new pull request #27432: [SPARK-28325][SQL]Support ANSI SQL: 
SIMILAR TO ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/27432
 
 
   ### What changes were proposed in this pull request?
   `[ NOT ] SIMILAR TO  [ ESCAPE  ]`
   This is a ANSI SQL.
   For example:
   ```
   SELECT 'abc' SIMILAR TO 'abc' AS `true`;
   SELECT 'abc' SIMILAR TO 'a' AS `false`;
   SELECT 'abc' SIMILAR TO '%(b|d)%' AS `true`;
   SELECT 'abc' SIMILAR TO '(b|c)%' AS `false`;
   ```
   There are some mainstream database support the syntax.
   **PostgreSQL:**
   
https://www.postgresql.org/docs/current/functions-matching.html#FUNCTIONS-SIMILARTO-REGEXP
   **Redshift:**
   
https://docs.aws.amazon.com/redshift/latest/dg/pattern-matching-conditions-similar-to.html
   
   `SIMILAR TO` is similar to `RLIKE`, but with the following differences:
  1. The `SIMILAR TO` operator returns true only if its pattern matches 
the entire string,
 unlike `RLIKE` behavior, where the pattern can match any portion 
of the string.
  2. The regex string allow uses _ and % as wildcard characters 
denoting any single character
 and any string, respectively (these are comparable to . and .* in 
POSIX regular
 expressions).
  3. The regex string allow uses escape character like `LIKE` behavior.
  4. '.', '^' and '$' is not a meta character for `SIMILAR TO`.
   
   
   ### Why are the changes needed?
   Support ANSI SQL: `SIMILAR TO ... ESCAPE` syntax
   `SIMILAR TO ... ESCAPE ` has a lot of convenience compared to `RLIKE`.
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   ### How was this patch tested?
   Exists and new UT


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[GitHub] [spark] dongjoon-hyun closed pull request #27161: [SPARK-27686][DOC][SQL] Update migration guide for make Hive 2.3 dependency by default

2020-02-01 Thread GitBox
dongjoon-hyun closed pull request #27161: [SPARK-27686][DOC][SQL] Update 
migration guide for make Hive 2.3 dependency by default
URL: https://github.com/apache/spark/pull/27161
 
 
   


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[GitHub] [spark] gatorsmile commented on a change in pull request #26995: [SPARK-30341][SQL] Overflow check for interval arithmetic operations

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gatorsmile commented on a change in pull request #26995: [SPARK-30341][SQL] 
Overflow check for interval arithmetic operations
URL: https://github.com/apache/spark/pull/26995#discussion_r373817637
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/results/interval.sql.out
 ##
 @@ -1101,3 +1102,45 @@ select interval '1 ' day
 struct
 -- !query 113 output
 1 days
+
+
+-- !query 114
+select -(a) from values (interval '-2147483648 months', interval '2147483647 
months') t(a, b)
+-- !query 114 schema
+struct<(- a):interval>
+-- !query 114 output
+-178956970 years -8 months
+
+
+-- !query 115
+select a - b from values (interval '-2147483648 months', interval '2147483647 
months') t(a, b)
+-- !query 115 schema
+struct<(a - b):interval>
+-- !query 115 output
+1 months
+
+
+-- !query 116
+select b + interval '1 month' from values (interval '-2147483648 months', 
interval '2147483647 months') t(a, b)
+-- !query 116 schema
+struct<(b + INTERVAL '1 months'):interval>
+-- !query 116 output
+-178956970 years -8 months
+
+
+-- !query 117
+select a * 1.1 from values (interval '-2147483648 months', interval 
'2147483647 months') t(a, b)
+-- !query 117 schema
+struct<>
+-- !query 117 output
+java.lang.ArithmeticException
+integer overflow
 
 Review comment:
   It sounds like the option 2 looks good to me. 


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[GitHub] [spark] dongjoon-hyun commented on issue #27161: [SPARK-27686][DOC][SQL] Update migration guide for make Hive 2.3 dependency by default

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dongjoon-hyun commented on issue #27161: [SPARK-27686][DOC][SQL] Update 
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URL: https://github.com/apache/spark/pull/27161#issuecomment-581094762
 
 
   Could you resolve the conflicts, @wangyum ?


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[GitHub] [spark] beliefer commented on issue #27381: [MINOR][SQL] Improve readability for some code comments

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   This PR migrate to https://github.com/apache/spark/pull/27431


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