[GitHub] [spark] SparkQA removed a comment on issue #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
SparkQA removed a comment on issue #27842: [SPARK-31078][SQL] Respect aliases 
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URL: https://github.com/apache/spark/pull/27842#issuecomment-596163083
 
 
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[GitHub] [spark] SparkQA commented on issue #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
SparkQA commented on issue #27842: [SPARK-31078][SQL] Respect aliases in output 
ordering
URL: https://github.com/apache/spark/pull/27842#issuecomment-596177419
 
 
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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] maropu commented on issue #27821: [SPARK-25908][SQL][FOLLOW-UP] Add Back Multiple Removed APIs

2020-03-07 Thread GitBox
maropu commented on issue #27821: [SPARK-25908][SQL][FOLLOW-UP] Add Back 
Multiple Removed APIs 
URL: https://github.com/apache/spark/pull/27821#issuecomment-596176222
 
 
   btw, could we update the contribution guideline to use a new tag in a title 
for these kinds of user-facing changes, e.g., `[SPARK-XXX][SQL][API] XXX`? I 
personally think the tag could make us easily track on-going PRs and commit 
logs for high-impact changes.


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[GitHub] [spark] maropu commented on a change in pull request #27828: [SPARK-31068][SQL] Avoid IllegalArgumentException in broadcast exchange

2020-03-07 Thread GitBox
maropu commented on a change in pull request #27828: [SPARK-31068][SQL] Avoid 
IllegalArgumentException in broadcast exchange
URL: https://github.com/apache/spark/pull/27828#discussion_r389342924
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/BroadcastExchangeExec.scala
 ##
 @@ -87,9 +87,12 @@ case class BroadcastExchangeExec(
 val beforeCollect = System.nanoTime()
 // Use executeCollect/executeCollectIterator to avoid conversion 
to Scala types
 val (numRows, input) = child.executeCollectIterator()
-if (numRows >= 51200) {
+// Since the maximum number of keys that BytesToBytesMap supports 
is 1 << 29,
+// and only 70% of the slots can be used before growing in 
HashedRelation,
+// here the limitation should not be over 341 million.
+if (numRows >= (1 << 29) / 1.5) {
   throw new SparkException(
-s"Cannot broadcast the table with 512 million or more rows: 
$numRows rows")
+s"Cannot broadcast the table with 341 million or more rows: 
$numRows rows")
 
 Review comment:
   Yea, +1 on the Sean's suggestion. btw, could we make this error message 
clearer? I personally think the current message looks unobvious for users.


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[GitHub] [spark] maropu commented on a change in pull request #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
maropu commented on a change in pull request #27842: [SPARK-31078][SQL] Respect 
aliases in output ordering
URL: https://github.com/apache/spark/pull/27842#discussion_r389342226
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
 ##
 @@ -604,6 +604,18 @@ abstract class BucketedReadSuite extends QueryTest with 
SQLTestUtils {
 }
   }
 
+  test("sort should not be introduced when aliases are used") {
+withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "0") {
+  withTable("t") {
+df1.repartition(1).write.format("parquet").bucketBy(8, 
"i").sortBy("i").saveAsTable("t")
 
 Review comment:
   Ah, I see. How about the aggregate case?


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SparkQA commented on issue #27818: [SPARK-30929][ML] ML, GraphX 3.0 QA: API: 
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[GitHub] [spark] beliefer commented on issue #27829: [SPARK-30841][SQL][DOC][FOLLOW-UP] Add version information to the configuration of SQL

2020-03-07 Thread GitBox
beliefer commented on issue #27829: [SPARK-30841][SQL][DOC][FOLLOW-UP] Add 
version information to the configuration of SQL
URL: https://github.com/apache/spark/pull/27829#issuecomment-596172071
 
 
   @HyukjinKwon @MaxGekk Thanks!


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 * `class RankingEvaluator @Since(\"3.0.0\") (@Since(\"3.0.0\") override 
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[GitHub] [spark] zhengruifeng commented on a change in pull request #27818: [SPARK-30929][ML] ML, GraphX 3.0 QA: API: New Scala APIs, docs

2020-03-07 Thread GitBox
zhengruifeng commented on a change in pull request #27818: [SPARK-30929][ML] 
ML, GraphX 3.0 QA: API: New Scala APIs, docs
URL: https://github.com/apache/spark/pull/27818#discussion_r389336697
 
 

 ##
 File path: 
mllib/src/main/scala/org/apache/spark/ml/regression/AFTSurvivalRegression.scala
 ##
 @@ -195,7 +195,8 @@ class AFTSurvivalRegression @Since("1.6.0") 
(@Since("1.6.0") override val uid: S
   }
 
   @Since("3.0.0")
 
 Review comment:
   If we can safely mark it protected, then  do not need this since annotation.


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[GitHub] [spark] zhengruifeng commented on a change in pull request #27818: [SPARK-30929][ML] ML, GraphX 3.0 QA: API: New Scala APIs, docs

2020-03-07 Thread GitBox
zhengruifeng commented on a change in pull request #27818: [SPARK-30929][ML] 
ML, GraphX 3.0 QA: API: New Scala APIs, docs
URL: https://github.com/apache/spark/pull/27818#discussion_r389336710
 
 

 ##
 File path: 
mllib/src/main/scala/org/apache/spark/ml/evaluation/MultilabelClassificationEvaluator.scala
 ##
 @@ -34,12 +34,13 @@ import org.apache.spark.sql.types._
  */
 @Since("3.0.0")
 @Experimental
-class MultilabelClassificationEvaluator (override val uid: String)
+class MultilabelClassificationEvaluator @Since("3.0.0") (@Since("3.0.0") 
override val uid: String)
 
 Review comment:
   I also do not feel strongly about it.


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[GitHub] [spark] huaxingao commented on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide and ml-migration-guide for 3.0 release

2020-03-07 Thread GitBox
huaxingao commented on issue #27785: [SPARK-30934][ML][DOCS] Update ml-guide 
and ml-migration-guide for 3.0 release
URL: https://github.com/apache/spark/pull/27785#issuecomment-596167299
 
 
   Thank you so much! @srowen @viirya @zhengruifeng 


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[GitHub] [spark] imback82 commented on issue #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
imback82 commented on issue #27842: [SPARK-31078][SQL] Respect aliases in 
output ordering
URL: https://github.com/apache/spark/pull/27842#issuecomment-596164531
 
 
   cc: @cloud-fan 


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[GitHub] [spark] beliefer commented on issue #27848: [SPARK-30911][CORE][DOC] Add version information to the configuration of Status

2020-03-07 Thread GitBox
beliefer commented on issue #27848: [SPARK-30911][CORE][DOC] Add version 
information to the configuration of Status
URL: https://github.com/apache/spark/pull/27848#issuecomment-596163657
 
 
   > Let's merge this one with another PR later just to fix them in batch a bit 
more.
   
   OK


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[GitHub] [spark] SparkQA commented on issue #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
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URL: https://github.com/apache/spark/pull/27842#issuecomment-596163083
 
 
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[GitHub] [spark] imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] 
Respect aliases in output ordering
URL: https://github.com/apache/spark/pull/27842#discussion_r389331709
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
 ##
 @@ -604,6 +604,18 @@ abstract class BucketedReadSuite extends QueryTest with 
SQLTestUtils {
 }
   }
 
+  test("sort should not be introduced when aliases are used") {
+withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "0") {
+  withTable("t") {
+df1.repartition(1).write.format("parquet").bucketBy(8, 
"i").sortBy("i").saveAsTable("t")
 
 Review comment:
   Do you mean something like the following?
   ```
   val t1 = spark.range(10).selectExpr("id as k1").orderBy("k1")
 .selectExpr("k1 as k11").orderBy("k11")
   val t2 = spark.range(10).selectExpr("id as k2").orderBy("k2")
   t1.join(t2, t1("k11") === t2("k2")).explain(true)
   ```
   Extra `Sort` is optimized away, so it doesn't affect the physical plan (no 
extra sort).


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[GitHub] [spark] HyukjinKwon closed pull request #27829: [SPARK-30841][SQL][DOC][FOLLOW-UP] Add version information to the configuration of SQL

2020-03-07 Thread GitBox
HyukjinKwon closed pull request #27829: [SPARK-30841][SQL][DOC][FOLLOW-UP] Add 
version information to the configuration of SQL
URL: https://github.com/apache/spark/pull/27829
 
 
   


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[GitHub] [spark] HyukjinKwon closed pull request #27847: [SPARK-31002][CORE][DOC] Add version information to the configuration of Core

2020-03-07 Thread GitBox
HyukjinKwon closed pull request #27847: [SPARK-31002][CORE][DOC] Add version 
information to the configuration of Core
URL: https://github.com/apache/spark/pull/27847
 
 
   


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[GitHub] [spark] imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] 
Respect aliases in output ordering
URL: https://github.com/apache/spark/pull/27842#discussion_r389331709
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
 ##
 @@ -604,6 +604,18 @@ abstract class BucketedReadSuite extends QueryTest with 
SQLTestUtils {
 }
   }
 
+  test("sort should not be introduced when aliases are used") {
+withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "0") {
+  withTable("t") {
+df1.repartition(1).write.format("parquet").bucketBy(8, 
"i").sortBy("i").saveAsTable("t")
 
 Review comment:
   Do you mean something like the following?
   ```
   val t1 = spark.range(10).selectExpr("id as k1").orderBy("k1")
 .selectExpr("k1 as k11").orderBy("k11")
   val t2 = spark.range(10).selectExpr("id as k2").orderBy("k2")
   t1.join(t2, t1("k11") === t2("k2")).explain(true)
   ```
   Extra `Sort` is optimized away, so it doesn't affect the physical plan (no 
extra sort) without this change.


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[GitHub] [spark] HyukjinKwon commented on issue #27848: [SPARK-30911][CORE][DOC] Add version information to the configuration of Status

2020-03-07 Thread GitBox
HyukjinKwon commented on issue #27848: [SPARK-30911][CORE][DOC] Add version 
information to the configuration of Status
URL: https://github.com/apache/spark/pull/27848#issuecomment-596162499
 
 
   Let's merge this one with another PR later just to fix them in batch a bit 
more.


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[GitHub] [spark] imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] Respect aliases in output ordering

2020-03-07 Thread GitBox
imback82 commented on a change in pull request #27842: [SPARK-31078][SQL] 
Respect aliases in output ordering
URL: https://github.com/apache/spark/pull/27842#discussion_r389331713
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/AliasAwareOutputs.scala
 ##
 @@ -16,16 +16,18 @@
  */
 package org.apache.spark.sql.execution
 
-import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, 
AttributeReference, Expression, NamedExpression}
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, 
AttributeReference, Expression, NamedExpression, SortOrder}
 import org.apache.spark.sql.catalyst.plans.physical.{HashPartitioning, 
Partitioning}
 
 /**
- * A trait that handles aliases in the `outputExpressions` to produce 
`outputPartitioning`
- * that satisfies output distribution requirements.
+ * A trait that handles aliases in the `outputExpressions` and 
`orderingExpressions` to produce
+ * `outputPartitioning` and `outputOrdering` that satisfy distribution and 
ordering requirements.
  */
-trait AliasAwareOutputPartitioning extends UnaryExecNode {
+trait AliasAwareOutputs extends UnaryExecNode {
 
 Review comment:
   Yes, good idea.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27780: [SPARK-31026] [SQL] [test-hive1.2] Parquet predicate pushdown on columns with dots

2020-03-07 Thread GitBox
HyukjinKwon commented on a change in pull request #27780: [SPARK-31026] [SQL] 
[test-hive1.2] Parquet predicate pushdown on columns with dots
URL: https://github.com/apache/spark/pull/27780#discussion_r389331473
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFiltersBase.scala
 ##
 @@ -45,4 +47,11 @@ trait OrcFiltersBase {
 case _: AtomicType => true
 case _ => false
   }
+
+  /**
+   * The key of the dataTypeMap will be quoted if it contains `dots`.
+   */
+  protected[sql] def quotedDataTypeMap(schema: StructType): Map[String, 
DataType] = {
 
 Review comment:
   nit: `protected[sql]` -> `protected[orc]`


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27780: [SPARK-31026] [SQL] [test-hive1.2] Parquet predicate pushdown on columns with dots

2020-03-07 Thread GitBox
HyukjinKwon commented on a change in pull request #27780: [SPARK-31026] [SQL] 
[test-hive1.2] Parquet predicate pushdown on columns with dots
URL: https://github.com/apache/spark/pull/27780#discussion_r389331398
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/sources/filters.scala
 ##
 @@ -32,6 +32,7 @@ import org.apache.spark.annotation.{Evolving, Stable}
 sealed abstract class Filter {
   /**
* List of columns that are referenced by this filter.
+   * Note that, if a column contains `dots` in name, it will be quoted to 
avoid confusion.
 
 Review comment:
   This one is actually a pretty breaking change. Not all implementations of 
the data sources will have the syntax to handle backquotes - there are so many 
non-DBMS implementations outside like elasticsearch, mongodb, etc. which I see 
relevant tickets in Spark JIRAs time to time.
   
   In particular, this is a stable API. Can we update the migration guide at 
the very least?


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[GitHub] [spark] SparkQA commented on issue #27570: [SPARK-30820][SPARKR][ML] Add FMClassifier to SparkR

2020-03-07 Thread GitBox
SparkQA commented on issue #27570: [SPARK-30820][SPARKR][ML] Add FMClassifier 
to SparkR
URL: https://github.com/apache/spark/pull/27570#issuecomment-596161472
 
 
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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] SparkQA removed a comment on issue #27571: [SPARK-30819][SPARKR][ML] Add FMRegressor wrapper to SparkR

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[GitHub] [spark] SparkQA commented on issue #27571: [SPARK-30819][SPARKR][ML] Add FMRegressor wrapper to SparkR

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[GitHub] [spark] HeartSaVioR commented on issue #27834: revert [SPARK-24640][SQL] Return `NULL` from `size(NULL)` by default

2020-03-07 Thread GitBox
HeartSaVioR commented on issue #27834: revert [SPARK-24640][SQL] Return `NULL` 
from `size(NULL)` by default
URL: https://github.com/apache/spark/pull/27834#issuecomment-596161322
 
 
   > As for the idea to have the size() behavior differ for aggregation vs. 
non-aggregation processing
   
   No I didn't mean it as an idea. I used it to describe the issue where NULL 
as result wouldn't have.


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[GitHub] [spark] WeichenXu123 commented on issue #27844: [WIP][SQL] Add back ImageSchema.readImages in Spark 3.0

2020-03-07 Thread GitBox
WeichenXu123 commented on issue #27844: [WIP][SQL] Add back 
ImageSchema.readImages in Spark 3.0
URL: https://github.com/apache/spark/pull/27844#issuecomment-596160133
 
 
   Discussed with @gatorsmile , agreed to remove this in 3.0. Thanks!


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[GitHub] [spark] WeichenXu123 closed pull request #27844: [WIP][SQL] Add back ImageSchema.readImages in Spark 3.0

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WeichenXu123 closed pull request #27844: [WIP][SQL] Add back 
ImageSchema.readImages in Spark 3.0
URL: https://github.com/apache/spark/pull/27844
 
 
   


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[GitHub] [spark] WeichenXu123 edited a comment on issue #27844: [WIP][SQL] Add back ImageSchema.readImages in Spark 3.0

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WeichenXu123 edited a comment on issue #27844: [WIP][SQL] Add back 
ImageSchema.readImages in Spark 3.0
URL: https://github.com/apache/spark/pull/27844#issuecomment-596160133
 
 
   Discussed with @gatorsmile offline, agreed to remove this in 3.0. Thanks!


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[GitHub] [spark] SparkQA commented on issue #27848: [SPARK-30911][CORE][DOC] Add version information to the configuration of Status

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[GitHub] [spark] beliefer commented on a change in pull request #27848: [SPARK-30911][CORE][DOC] Add version information to the configuration of Status

2020-03-07 Thread GitBox
beliefer commented on a change in pull request #27848: [SPARK-30911][CORE][DOC] 
Add version information to the configuration of Status
URL: https://github.com/apache/spark/pull/27848#discussion_r389329517
 
 

 ##
 File path: core/src/main/scala/org/apache/spark/internal/config/Status.scala
 ##
 @@ -22,43 +22,52 @@ import java.util.concurrent.TimeUnit
 private[spark] object Status {
 
   val ASYNC_TRACKING_ENABLED = 
ConfigBuilder("spark.appStateStore.asyncTracking.enable")
+.version("2.3.0")
 .booleanConf
 .createWithDefault(true)
 
   val LIVE_ENTITY_UPDATE_PERIOD = ConfigBuilder("spark.ui.liveUpdate.period")
+.version("2.3.0")
 .timeConf(TimeUnit.NANOSECONDS)
 .createWithDefaultString("100ms")
 
   val LIVE_ENTITY_UPDATE_MIN_FLUSH_PERIOD = 
ConfigBuilder("spark.ui.liveUpdate.minFlushPeriod")
 .doc("Minimum time elapsed before stale UI data is flushed. This avoids UI 
staleness when " +
   "incoming task events are not fired frequently.")
+.version("2.4.2")
 .timeConf(TimeUnit.NANOSECONDS)
 .createWithDefaultString("1s")
 
   val MAX_RETAINED_JOBS = ConfigBuilder("spark.ui.retainedJobs")
+.version("1.2.0")
 .intConf
 .createWithDefault(1000)
 
   val MAX_RETAINED_STAGES = ConfigBuilder("spark.ui.retainedStages")
+.version("0.9.0")
 .intConf
 .createWithDefault(1000)
 
   val MAX_RETAINED_TASKS_PER_STAGE = ConfigBuilder("spark.ui.retainedTasks")
+.version("2.0.1")
 .intConf
 .createWithDefault(10)
 
   val MAX_RETAINED_DEAD_EXECUTORS = 
ConfigBuilder("spark.ui.retainedDeadExecutors")
+.version("2.0.0")
 .intConf
 .createWithDefault(100)
 
   val MAX_RETAINED_ROOT_NODES = 
ConfigBuilder("spark.ui.dagGraph.retainedRootRDDs")
+.version("2.1.0")
 
 Review comment:
   SPARK-17171, commit ID: 
cc87280fcd065b01667ca7a59a1a32c7ab757355#diff-3f492c527ea26679d4307041b28455b8


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