[GitHub] [spark] huaxingao commented on a change in pull request #29139: [SPARK-32339][ML][DOC] Improve MLlib BLAS native acceleration docs

2020-07-17 Thread GitBox


huaxingao commented on a change in pull request #29139:
URL: https://github.com/apache/spark/pull/29139#discussion_r456255577



##
File path: docs/ml-linalg-guide.md
##
@@ -0,0 +1,85 @@
+# Spark MLlib Linear Algebra Acceleration Guide

Review comment:
   We need to add this in the beginning of the file
   ```
   ---
   layout: global
   title: MLlib Linear Algebra Acceleration Guide
   displayTitle: MLlib Linear Algebra Acceleration Guide
   license: |
 Licensed to the Apache Software Foundation (ASF) under one or more
 contributor license agreements.  See the NOTICE file distributed with
 this work for additional information regarding copyright ownership.
 The ASF licenses this file to You under the Apache License, Version 2.0
 (the "License"); you may not use this file except in compliance with
 the License.  You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
   ---
   ```





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[GitHub] [spark] SparkQA commented on pull request #29126: [SPARK-32324][SQL]Fix error messages during using PIVOT and lateral view

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[GitHub] [spark] SparkQA commented on pull request #29135: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

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[GitHub] [spark] SparkQA commented on pull request #29085: [SPARK-32106][SQL]Implement SparkScriptTransformationExec in sql/core

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[GitHub] [spark] SparkQA commented on pull request #29141: [SPARK-32018][SQL][2.4] UnsafeRow.setDecimal should set null with overflowed value

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[GitHub] [spark] SparkQA commented on pull request #29079: [SPARK-32286][SQL] Coalesce bucketed table for shuffled hash join if applicable

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[GitHub] [spark] SparkQA commented on pull request #28840: [SPARK-31999][SQL] Add REFRESH FUNCTION command

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[GitHub] [spark] SparkQA commented on pull request #29142: [SPARK-29343][SQL][FOLLOW-UP] Add more aggregate function to support eliminate sorts.

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[GitHub] [spark] SparkQA commented on pull request #29020: [SPARK-23431][CORE] Expose stage level peak executor metrics via REST API

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[GitHub] [spark] SparkQA commented on pull request #29032: [SPARK-32217] Plumb whether a worker would also be decommissioned along with executor

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[GitHub] [spark] SparkQA commented on pull request #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec

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[GitHub] [spark] SparkQA commented on pull request #29141: [SPARK-32018][SQL][2.4] UnsafeRow.setDecimal should set null with overflowed value

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[GitHub] [spark] SparkQA commented on pull request #28917: [SPARK-31847][CORE][TESTS] DAGSchedulerSuite: Rewrite the test framework to support apply specified spark configurations.

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* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] imback82 commented on pull request #29020: [SPARK-23431][CORE] Expose stage level peak executor metrics via REST API

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   retest this please



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[GitHub] [spark] passionke commented on pull request #16869: [SPARK-19025][SQL] Remove SQL builder for operators

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   @gatorsmile @ hvanhovell @rxin @ @yhuai 



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[GitHub] [spark] wangyum commented on pull request #29101: [SPARK-32302][SQL] Partially push down disjunctive predicates through Join/Partitions

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   retest this please.



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[GitHub] [spark] beliefer commented on pull request #28917: [SPARK-31847][CORE][TESTS] DAGSchedulerSuite: Rewrite the test framework to support apply specified spark configurations.

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beliefer commented on pull request #28917:
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   retest this please



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[GitHub] [spark] gaborgsomogyi closed pull request #29131: [SPARK-32321][SS] Remove KAFKA-7703 workaround

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gaborgsomogyi closed pull request #29131:
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[GitHub] [spark] gaborgsomogyi commented on pull request #29131: [SPARK-32321][SS] Remove KAFKA-7703 workaround

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gaborgsomogyi commented on pull request #29131:
URL: https://github.com/apache/spark/pull/29131#issuecomment-659918072


   I think this is conservative enough since retry still happens and now we're 
speaking about potential issues which has been never reported but I see your 
point, closing it.
   The intention here is to simplify the offset reader because it's not easy to 
solve SPARK-32032. The more compact the consumer usage is the easier to discuss 
it through w/ the Kafka guys. My point is not solving and/or delaying to solve 
SPARK-32032 is at least that severe just like this one (when SPARK-32032 hits 
then the whole query stops and there is no workaround).
   



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[GitHub] [spark] maropu opened a new pull request #29143: [SPARK-32344][SQL] Unevaluable expr is set to FIRST/LAST ignoreNullsExpr in distinct aggregates

2020-07-17 Thread GitBox


maropu opened a new pull request #29143:
URL: https://github.com/apache/spark/pull/29143


   
   
   ### What changes were proposed in this pull request?
   
   This PR intends to fix a bug of distinct FIRST/LAST aggregates in 
v2.4.6/v3.0.0/master;
   ```
   scala> sql("SELECT FIRST(DISTINCT v) FROM VALUES 1, 2, 3 t(v)").show()
   ...
   Caused by: java.lang.UnsupportedOperationException: Cannot evaluate 
expression: false#37
 at 
org.apache.spark.sql.catalyst.expressions.Unevaluable$class.eval(Expression.scala:258)
 at 
org.apache.spark.sql.catalyst.expressions.AttributeReference.eval(namedExpressions.scala:226)
 at 
org.apache.spark.sql.catalyst.expressions.aggregate.First.ignoreNulls(First.scala:68)
 at 
org.apache.spark.sql.catalyst.expressions.aggregate.First.updateExpressions$lzycompute(First.scala:82)
 at 
org.apache.spark.sql.catalyst.expressions.aggregate.First.updateExpressions(First.scala:81)
 at 
org.apache.spark.sql.execution.aggregate.HashAggregateExec$$anonfun$15.apply(HashAggregateExec.scala:268)
   ```
   A root cause of this bug is that the `Aggregation` strategy replaces a 
foldable boolean `ignoreNullsExpr` expr with a `Unevaluable` expr 
(`AttributeReference`) for distinct FIRST/LAST aggregate functions. But, this 
operation cannot be allowed because the `Analyzer` has checked that it must be 
foldabe;
   
https://github.com/apache/spark/blob/ffdbbae1d465fe2c710d020de62ca1a6b0b924d9/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/First.scala#L74-L76
   
   ### Why are the changes needed?
   
   Bugfix.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Added a test in `DataFrameAggregateSuite`.



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[GitHub] [spark] SparkQA commented on pull request #29143: [SPARK-32344][SQL] Unevaluable expr is set to FIRST/LAST ignoreNullsExpr in distinct aggregates

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[GitHub] [spark] SparkQA commented on pull request #29101: [SPARK-32302][SQL] Partially push down disjunctive predicates through Join/Partitions

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[GitHub] [spark] SparkQA commented on pull request #28917: [SPARK-31847][CORE][TESTS] DAGSchedulerSuite: Rewrite the test framework to support apply specified spark configurations.

2020-07-17 Thread GitBox


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[GitHub] [spark] cloud-fan commented on pull request #28852: [SPARK-30616][SQL] Introduce TTL config option for SQL Metadata Cache

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cloud-fan commented on pull request #28852:
URL: https://github.com/apache/spark/pull/28852#issuecomment-659919825


   retest this please



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[GitHub] [spark] SparkQA commented on pull request #29020: [SPARK-23431][CORE] Expose stage level peak executor metrics via REST API

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[GitHub] [spark] AmplabJenkins commented on pull request #29143: [SPARK-32344][SQL] Unevaluable expr is set to FIRST/LAST ignoreNullsExpr in distinct aggregates

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[GitHub] [spark] maropu commented on a change in pull request #29056: [SPARK-31753][SQL][DOCS] Add missing keywords in the SQL docs

2020-07-17 Thread GitBox


maropu commented on a change in pull request #29056:
URL: https://github.com/apache/spark/pull/29056#discussion_r456267828



##
File path: docs/sql-ref-syntax-qry-select-groupby.md
##
@@ -38,6 +38,8 @@ GROUP BY GROUPING SETS (grouping_set [ , ...])
 While aggregate functions are defined as
 ```sql
 aggregate_name ( [ DISTINCT ] expression [ , ... ] ) [ FILTER ( WHERE 
boolean_expression ) ]
+
+[ FIRST | LAST ] ( expression [ IGNORE NULLS ] ) [ FILTER ( WHERE 
boolean_expression ) ]

Review comment:
   hm, this syntax definition only for `FIRST/LAST` looks verbose... can we 
remove it then describe something about `FIRST/LAST` in the 
`**aggreagate_name**` sub-section? Actually, I think `FIRST/LAST` can be used 
together with `DISTINCT`; https://github.com/apache/spark/pull/29143





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