[GitHub] [spark] SparkQA commented on issue #27232: [SPARK-30525][SQL]HiveTableScanExec do not need to prune partitions again after pushing down to hive metastore

2020-01-21 Thread GitBox
SparkQA commented on issue #27232: [SPARK-30525][SQL]HiveTableScanExec do not 
need to prune partitions again after pushing down to hive metastore
URL: https://github.com/apache/spark/pull/27232#issuecomment-576562510
 
 
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[GitHub] [spark] SparkQA commented on issue #27260: [SPARK-30549][SQL] Fix the subquery shown issue in UI When enable AQE

2020-01-21 Thread GitBox
SparkQA commented on issue #27260: [SPARK-30549][SQL] Fix the subquery shown 
issue in UI When enable AQE
URL: https://github.com/apache/spark/pull/27260#issuecomment-576562535
 
 
   **[Test build #117164 has 
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[`1dacc22`](https://github.com/apache/spark/commit/1dacc22f86a6e75575d521b22528bb74793006bb).


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[GitHub] [spark] SparkQA commented on issue #27304: [SPARK-30593][SQL] Revert interval ISO/ANSI SQL Standard output since we decide not to follow ANSI and no round trip

2020-01-21 Thread GitBox
SparkQA commented on issue #27304: [SPARK-30593][SQL] Revert interval ISO/ANSI 
SQL Standard output since we decide not to follow ANSI and no round trip
URL: https://github.com/apache/spark/pull/27304#issuecomment-576562522
 
 
   **[Test build #117163 has 
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[`75d597c`](https://github.com/apache/spark/commit/75d597c113127d32e83f4f3b0164ecd0d52aa3c2).


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[GitHub] [spark] AmplabJenkins commented on issue #27232: [SPARK-30525][SQL]HiveTableScanExec do not need to prune partitions again after pushing down to hive metastore

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AmplabJenkins commented on issue #27232: [SPARK-30525][SQL]HiveTableScanExec do 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27304: [SPARK-30593][SQL] Revert interval ISO/ANSI SQL Standard output since we decide not to follow ANSI and no round trip

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27304: [SPARK-30593][SQL] Revert interval ISO/ANSI SQL Standard output since we decide not to follow ANSI and no round trip

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[GitHub] [spark] AmplabJenkins commented on issue #27260: [SPARK-30549][SQL] Fix the subquery shown issue in UI When enable AQE

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[GitHub] [spark] AmplabJenkins commented on issue #27304: [SPARK-30593][SQL] Revert interval ISO/ANSI SQL Standard output since we decide not to follow ANSI and no round trip

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[GitHub] [spark] AmplabJenkins commented on issue #27232: [SPARK-30525][SQL]HiveTableScanExec do not need to prune partitions again after pushing down to hive metastore

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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368855224
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -118,7 +118,66 @@ import org.apache.spark.sql.types.IntegerType
  *   LocalTableScan [...]
  * }}}
  *
- * The rule does the following things here:
+ * Third example: single distinct aggregate function with filter clauses (in 
sql):
+ * {{{
+ *   SELECT
+ * COUNT(DISTINCT cat1) FILTER (WHERE id > 1) as cat1_cnt1,
+ * COUNT(DISTINCT cat1) as cat1_cnt2,
+ * SUM(value) AS total
+ *  FROM
+ *data
+ *  GROUP BY
+ *key
+ * }}}
+ *
+ * This translates to the following (pseudo) logical plan:
+ * {{{
+ * Aggregate(
+ *key = ['key]
+ *functions = [COUNT(DISTINCT 'cat1) with FILTER('id > 1),
+ * COUNT(DISTINCT 'cat1),
+ * sum('value)]
+ *output = ['key, 'cat1_cnt1, 'cat1_cnt2, 'total])
+ *   LocalTableScan [...]
+ * }}}
+ *
+ * This rule rewrites this logical plan to the following (pseudo) logical plan:
+ * {{{
+ *   Aggregate(
+ *  key = ['key]
+ *  functions = [count(if (('gid = 1)) '_gen_distinct_1 else null),
+ *   count(if (('gid = 2)) '_gen_distinct_2 else null),
+ *   first(if (('gid = 0)) 'total else null) ignore nulls]
+ *  output = ['key, 'cat1_cnt, 'cat1_cnt2, 'total])
+ * Aggregate(
+ *key = ['key, '_gen_distinct_1, '_gen_distinct_2, 'gid]
+ *functions = [sum('value)]
+ *output = ['key, '_gen_distinct_1, '_gen_distinct_2, 'gid, 'total])
+ *   Expand(
+ *   projections = [('key, null, null, 0, 'value),
+ * ('key, '_gen_distinct_1, null, 1, null),
+ * ('key, null, '_gen_distinct_2, 2, null)]
+ *   output = ['key, '_gen_distinct_1, '_gen_distinct_2, 'gid, 'value])
+ * Expand(
+ *projections = [('key, if ('id > 1) 'cat1 else null, 'cat1, 
cast('value as bigint))]
+ *output = ['key, '_gen_distinct_1, '_gen_distinct_2, 'value])
+ *   LocalTableScan [...]
+ * }}}
+ *
+ * The rule serves two purposes:
+ * 1. Expand distinct aggregates which exists filter clause.
+ * 2. Rewrite when aggregate exists at least two distinct aggregates.
+ *
+ * The first child rule does the following things here:
+ * 1. Guaranteed to compute filter clause locally.
+ * 2. The attributes referenced by different distinct aggregate expressions 
are likely to overlap,
+ *and if no additional processing is performed, data loss will occur. To 
prevent this, we
+ *generate new attributes and replace the original ones.
+ * 3. If we apply the first child rule to distinct aggregate expressions which 
exists filter
+ *clause, the aggregate after expand may have at least two distinct 
aggregates, so we need to
+ *apply the second child rule too.
 
 Review comment:
   OK.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #27242: 
[SPARK-30534][INFRA] Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368855344
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   I'm +1 for any suggestion if you make a PR and pass all system (including 
GitHub Action). :)
   
   BTW, did you try to checkout one of older commits than this, @HyukjinKwon ?
   
   If it works in your environment even in that case, it sounds weird to me 
because of the following.
   
   As you can see on the mailing list, this is reported by @tgravescs and I 
confirmed the situation. Then, I made this PR at that time. Also, GitHub Action 
log still shows the whole situation (the **failures** before this commit and 
the **successes** after this commit).
   
   https://user-images.githubusercontent.com/9700541/72785186-7b43ad00-3bdf-11ea-9ca4-084b7a4b8a58.png;>
   
   For now, I don't have any clue about the difference (code side? or Maven 
server side? or your environment?).
   
   In any way, you can move forward whiling keeping our system **green**. We 
had better discuss on your PR.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #27242: 
[SPARK-30534][INFRA] Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368855344
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   I'm +1 for any suggestion if you make a PR and pass all system (including 
GitHub Action). :)
   
   BTW, did you try to checkout one of older commits than this, @HyukjinKwon ?
   
   If it works in your environment even in that case, it sounds weird to me 
because of the following.
   
   As you can see on the mailing list, this was reported by @tgravescs and I 
confirmed the situation. Then, I made this PR at that time. Also, GitHub Action 
log still shows the whole situation (the **failures** before this commit and 
the **successes** after this commit).
   
   https://user-images.githubusercontent.com/9700541/72785186-7b43ad00-3bdf-11ea-9ca4-084b7a4b8a58.png;>
   
   For now, I don't have any clue about the difference (code side? or Maven 
server side? or your environment?).
   
   In any way, you can move forward whiling keeping our system **green**. We 
had better discuss on your PR.


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[GitHub] [spark] SparkQA commented on issue #27288: [SPARK-30579][DOC] Document ORDER BY Clause of SELECT statement in SQL Reference

2020-01-21 Thread GitBox
SparkQA commented on issue #27288: [SPARK-30579][DOC] Document ORDER BY Clause 
of SELECT statement in SQL Reference
URL: https://github.com/apache/spark/pull/27288#issuecomment-576564088
 
 
   **[Test build #117156 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117156/testReport)**
 for PR 27288 at commit 
[`d1fb7bd`](https://github.com/apache/spark/commit/d1fb7bd41c43196b23f51db0f7954df167685022).
* 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] SparkQA commented on issue #27260: [SPARK-30549][SQL] Fix the subquery shown issue in UI When enable AQE

2020-01-21 Thread GitBox
SparkQA commented on issue #27260: [SPARK-30549][SQL] Fix the subquery shown 
issue in UI When enable AQE
URL: https://github.com/apache/spark/pull/27260#issuecomment-576564091
 
 
   **[Test build #117162 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117162/testReport)**
 for PR 27260 at commit 
[`0c1650c`](https://github.com/apache/spark/commit/0c1650cc459f78425ea186b102510922ae69d092).
* 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] SparkQA commented on issue #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec

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[GitHub] [spark] SparkQA commented on issue #27301: [MINOR][DOCS] Fix Jenkins build image and link in README.md

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[GitHub] [spark] SparkQA commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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[GitHub] [spark] SparkQA removed a comment on issue #27288: [SPARK-30579][DOC] Document ORDER BY Clause of SELECT statement in SQL Reference

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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368856077
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -148,24 +207,106 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 val distinctAggs = exprs.flatMap { _.collect {
   case ae: AggregateExpression if ae.isDistinct => ae
 }}
-// We need at least two distinct aggregates for this rule because 
aggregation
-// strategy can handle a single distinct group.
+// This rule serves two purposes:
+// One is to rewrite when there exists at least two distinct aggregates. 
We need at least
+// two distinct aggregates for this rule because aggregation strategy can 
handle a single
+// distinct group.
+// Another is to expand distinct aggregates which exists filter clause so 
that we can
+// evaluate the filter locally.
 
 Review comment:
   Thanks.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27301: [MINOR][DOCS] Fix Jenkins build image and link in README.md

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[GitHub] [spark] fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add 
optimizer rule PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#discussion_r368856556
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitionsSuite.scala
 ##
 @@ -0,0 +1,56 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.sql.hive.execution
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.rules.RuleExecutor
+import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.test.SQLTestUtils
+
+class PruneHiveTablePartitionsSuite extends QueryTest with SQLTestUtils with 
TestHiveSingleton {
+
+  object Optimize extends RuleExecutor[LogicalPlan] {
+val batches =
+  Batch("PruneHiveTablePartitions", Once,
+EliminateSubqueryAliases, new PruneHiveTablePartitions(spark)) :: Nil
+  }
+
+  test("SPARK-15616 statistics pruned after going throuhg 
PruneHiveTablePartitions") {
+withTable("test", "temp") {
+  sql(
+s"""
+   |CREATE TABLE test(i int)
+   |PARTITIONED BY (p int)
+   |STORED AS textfile""".stripMargin)
+  spark.range(0, 1000, 1).selectExpr("id as col")
+.createOrReplaceTempView("temp")
+
+  for (part <- Seq(1, 2, 3, 4)) {
+sql(s"""
+   |INSERT OVERWRITE TABLE test PARTITION (p='$part')
 
 Review comment:
   updated to use two-space indentation like PruneFileSourcePartitionsSuite.


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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368856747
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -331,6 +472,14 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 }
   }
 
+  private def collectAggregateExprs(a: Aggregate): Seq[AggregateExpression] = {
 
 Review comment:
   OK


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[GitHub] [spark] fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
fuwhu commented on a change in pull request #26805: [SPARK-15616][SQL] Add 
optimizer rule PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#discussion_r368856739
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruneHiveTablePartitionsSuite.scala
 ##
 @@ -0,0 +1,56 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.sql.hive.execution
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.rules.RuleExecutor
+import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.test.SQLTestUtils
+
+class PruneHiveTablePartitionsSuite extends QueryTest with SQLTestUtils with 
TestHiveSingleton {
+
+  object Optimize extends RuleExecutor[LogicalPlan] {
+val batches =
+  Batch("PruneHiveTablePartitions", Once,
+EliminateSubqueryAliases, new PruneHiveTablePartitions(spark)) :: Nil
+  }
+
+  test("SPARK-15616 statistics pruned after going throuhg 
PruneHiveTablePartitions") {
+withTable("test", "temp") {
+  sql(
+s"""
+   |CREATE TABLE test(i int)
+   |PARTITIONED BY (p int)
+   |STORED AS textfile""".stripMargin)
+  spark.range(0, 1000, 1).selectExpr("id as col")
+.createOrReplaceTempView("temp")
+
+  for (part <- Seq(1, 2, 3, 4)) {
+sql(s"""
+   |INSERT OVERWRITE TABLE test PARTITION (p='$part')
+   |select col from temp""".stripMargin)
+  }
+  val analyzed1 = sql("select i from test where 
p>0").queryExecution.analyzed
+  val analyzed2 = sql("select i from test where 
p=1").queryExecution.analyzed
+  assert(Optimize.execute(analyzed1).stats.sizeInBytes/4 ===
 
 Review comment:
   updated the code style, thanks a lot. :)


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[GitHub] [spark] SparkQA commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
SparkQA commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule 
PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#issuecomment-576565376
 
 
   **[Test build #117166 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117166/testReport)**
 for PR 26805 at commit 
[`b1798d5`](https://github.com/apache/spark/commit/b1798d52147b081c7073f3c096eb886a867b921d).


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #27242: 
[SPARK-30534][INFRA] Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368857201
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   I checked this. It still fails before this commit. Please try in your 
environment, @HyukjinKwon .
   ```
   [error] [FATAL] Non-resolvable parent POM: 
   Could not transfer artifact org.apache:apache:pom:18 from/to central (
   http://repo.maven.apache.org/maven2): Failed to look for file:
   http://repo.maven.apache.org/maven2/org/apache/apache/18/apache-18.pom. 
Return code is: 501 and 'parent.relativePath' points at wrong local POM @ line 
22, column 11
   ```


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[GitHub] [spark] maropu opened a new pull request #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
maropu opened a new pull request #27305: [WIP][SPARK-29701][SQL] Correct 
behaviours of group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27305
 
 
   
   
   ### What changes were proposed in this pull request?
   
   (This is another approach of #27233) This PR intends to fix a bug when empty 
input given in group analytical queries (e.g., GROUPING SETS). For example, a 
query below with empty input has a different answer between Spark and 
PostgreSQL:
   ```
   postgres=# create table gstest_empty (a integer, b integer, v integer);
   CREATE TABLE
   postgres=# select a, b, sum(v), count(*) from gstest_empty group by grouping 
sets ((a,b),());
a | b | sum | count 
   ---+---+-+---
  |   | | 0
   (1 row)
   
   scala> sql("""select a, b, sum(v), count(*) from gstest_empty group by 
grouping sets ((a,b),())""").show
   +---+---+--++
   |  a|  b|sum(v)|count(1)|
   +---+---+--++
   +---+---+--++
   ```
   In the case, we should follow the PostgreSQL answer. To fix this, this PR 
modified the existing resolution rules (`ResolveGroupingAnalytics` and 
`ResolveAggregateFunctions`) to rewrite it as an union query of aggregates 
with/without keys as follows;
   ```
   scala> sql("""select a, b, sum(v), count(*) from gstest_empty group by 
grouping sets ((a,b),())""").explain(true)
   == Analyzed Logical Plan ==
   a: int, b: int, sum(v): bigint, count(1): bigint
   Union
   :- Aggregate [a#10, b#11, spark_grouping_id#7], [a#10, b#11, sum(cast(v#3 as 
bigint)) AS sum(v)#5L, count(1) AS count(1)#6L]
   :  +- Expand [List(v#3, a#1, b#2, 0)], [v#3, a#10, b#11, spark_grouping_id#7]
   : +- Project [v#3, a#1, b#2]
   :+- Relation[a#1,b#2,v#3] parquet
   +- Aggregate [null AS a#10, null AS b#11, sum(cast(v#3 as bigint)) AS 
sum(v)#5L, count(1) AS count(1)#6L]
  +- Project [v#3]
 +- Relation[a#1,b#2,v#3] parquet
   ```
   
   NOTE: This pr also updates the existing test in 
`OptimizeMetadataOnlyQuerySuite`; it has [the rollup 
query](https://github.com/apache/spark/pull/27233/files#diff-7d340edd739a1f59d51d5228113fd9edL120)
 and this PR transforms it into a `union(aggregate with keys, aggregate without 
keys)` form. The test checks that no metadata-only query happens there, but the 
`aggregate without keys` side can be optimized by the 
`OptimizeMetadataOnlyQuery` rule then `testNotMetadataOnly()` fails. To avoid 
this case, this PR replaces the rollup query with a grouping set one.
   
   ### Why are the changes needed?
   
   For the correct SQL semantics.
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   UTs added.


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[GitHub] [spark] AmplabJenkins commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule 
PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#issuecomment-576565789
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #26805: [SPARK-15616][SQL] Add optimizer rule 
PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#issuecomment-576565783
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
AmplabJenkins removed a comment on issue #26805: [SPARK-15616][SQL] Add 
optimizer rule PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#issuecomment-576565789
 
 
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #27242: 
[SPARK-30534][INFRA] Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368857201
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   I checked this. It still fails before this commit. Please try to checkout 
old commit in your environment, @HyukjinKwon .
   ```
   [error] [FATAL] Non-resolvable parent POM: 
   Could not transfer artifact org.apache:apache:pom:18 from/to central (
   http://repo.maven.apache.org/maven2): Failed to look for file:
   http://repo.maven.apache.org/maven2/org/apache/apache/18/apache-18.pom. 
Return code is: 501 and 'parent.relativePath' points at wrong local POM @ line 
22, column 11
   ```


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26805: [SPARK-15616][SQL] Add optimizer rule PruneHiveTablePartitions

2020-01-21 Thread GitBox
AmplabJenkins removed a comment on issue #26805: [SPARK-15616][SQL] Add 
optimizer rule PruneHiveTablePartitions
URL: https://github.com/apache/spark/pull/26805#issuecomment-576565783
 
 
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
dongjoon-hyun commented on a change in pull request #27242: 
[SPARK-30534][INFRA] Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368857201
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   I checked this with dca838058ffd0e2c01591fd9ab0f192de446d606 again. It still 
fails before this commit. Please try to checkout old commit in your 
environment, @HyukjinKwon .
   ```
   [error] [FATAL] Non-resolvable parent POM: 
   Could not transfer artifact org.apache:apache:pom:18 from/to central (
   http://repo.maven.apache.org/maven2): Failed to look for file:
   http://repo.maven.apache.org/maven2/org/apache/apache/18/apache-18.pom. 
Return code is: 501 and 'parent.relativePath' points at wrong local POM @ line 
22, column 11
   ```


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[GitHub] [spark] maropu commented on issue #27233: [SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
maropu commented on issue #27233: [SPARK-29701][SQL] Correct behaviours of 
group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27233#issuecomment-576566110
 
 
   Yea, I'm ok with that. Still WIP though, I opened a new PR for another 
approach in #27305.


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[GitHub] [spark] beliefer commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-01-21 Thread GitBox
beliefer commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result 
offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576567129
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
SparkQA commented on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours 
of group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27305#issuecomment-576567868
 
 
   **[Test build #117167 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117167/testReport)**
 for PR 27305 at commit 
[`a3e8d89`](https://github.com/apache/spark/commit/a3e8d8982565794e4c5f2434751d15967d1d21b0).


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[GitHub] [spark] SparkQA commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-01-21 Thread GitBox
SparkQA commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result 
offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576567874
 
 
   **[Test build #117168 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117168/testReport)**
 for PR 27237 at commit 
[`0511b8f`](https://github.com/apache/spark/commit/0511b8fc69deaaf8d52575f570ed576756b0f8aa).


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[GitHub] [spark] AmplabJenkins commented on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #27305: [WIP][SPARK-29701][SQL] Correct 
behaviours of group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27305#issuecomment-576568326
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576568352
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576568363
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
AmplabJenkins commented on issue #27305: [WIP][SPARK-29701][SQL] Correct 
behaviours of group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27305#issuecomment-576568316
 
 
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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368859956
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -148,24 +207,106 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 val distinctAggs = exprs.flatMap { _.collect {
   case ae: AggregateExpression if ae.isDistinct => ae
 }}
-// We need at least two distinct aggregates for this rule because 
aggregation
-// strategy can handle a single distinct group.
+// This rule serves two purposes:
+// One is to rewrite when there exists at least two distinct aggregates. 
We need at least
+// two distinct aggregates for this rule because aggregation strategy can 
handle a single
+// distinct group.
+// Another is to expand distinct aggregates which exists filter clause so 
that we can
+// evaluate the filter locally.
 // This check can produce false-positives, e.g., SUM(DISTINCT a) & 
COUNT(DISTINCT a).
-distinctAggs.size > 1
+distinctAggs.size >= 1 || distinctAggs.exists(_.filter.isDefined)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
-case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) => rewrite(a)
+case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) =>
+  val expandAggregate = extractFiltersInDistinctAggregate(a)
+  rewriteDistinctAggregate(expandAggregate)
   }
 
-  def rewrite(a: Aggregate): Aggregate = {
+  private def extractFiltersInDistinctAggregate(a: Aggregate): Aggregate = {
 
 Review comment:
   For first suggestion, you means I should add new API in dsl? dsl can't 
support filter clause yet.
   For second suggestion, OK.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
AmplabJenkins removed a comment on issue #27305: [WIP][SPARK-29701][SQL] 
Correct behaviours of group analytical queries when empty input given
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27305: [WIP][SPARK-29701][SQL] Correct behaviours of group analytical queries when empty input given

2020-01-21 Thread GitBox
AmplabJenkins removed a comment on issue #27305: [WIP][SPARK-29701][SQL] 
Correct behaviours of group analytical queries when empty input given
URL: https://github.com/apache/spark/pull/27305#issuecomment-576568326
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2020-01-21 Thread GitBox
AmplabJenkins removed a comment on issue #27237: [SPARK-28330][SQL] Support 
ANSI SQL: result offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576568363
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27237: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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ANSI SQL: result offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#issuecomment-576568352
 
 
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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368860174
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -148,24 +207,106 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 val distinctAggs = exprs.flatMap { _.collect {
   case ae: AggregateExpression if ae.isDistinct => ae
 }}
-// We need at least two distinct aggregates for this rule because 
aggregation
-// strategy can handle a single distinct group.
+// This rule serves two purposes:
+// One is to rewrite when there exists at least two distinct aggregates. 
We need at least
+// two distinct aggregates for this rule because aggregation strategy can 
handle a single
+// distinct group.
+// Another is to expand distinct aggregates which exists filter clause so 
that we can
+// evaluate the filter locally.
 // This check can produce false-positives, e.g., SUM(DISTINCT a) & 
COUNT(DISTINCT a).
-distinctAggs.size > 1
+distinctAggs.size >= 1 || distinctAggs.exists(_.filter.isDefined)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
-case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) => rewrite(a)
+case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) =>
+  val expandAggregate = extractFiltersInDistinctAggregate(a)
+  rewriteDistinctAggregate(expandAggregate)
   }
 
-  def rewrite(a: Aggregate): Aggregate = {
+  private def extractFiltersInDistinctAggregate(a: Aggregate): Aggregate = {
+val aggExpressions = collectAggregateExprs(a)
+val (distinctAggExpressions, regularAggExpressions) = 
aggExpressions.partition(_.isDistinct)
+if (distinctAggExpressions.exists(_.filter.isDefined)) {
+  // Setup expand for the 'regular' aggregate expressions. Because we will 
construct a new
+  // aggregate, the children of the distinct aggregates will be changed to 
the generate
+  // ones, so we need creates new references to avoid collisions between 
distinct and
+  // regular aggregate children.
+  val regularAggExprs = 
regularAggExpressions.filter(_.children.exists(!_.foldable))
+  val regularFunChildren = regularAggExprs
+.flatMap(_.aggregateFunction.children.filter(!_.foldable))
+  val regularFilterAttrs = regularAggExprs.flatMap(_.filterAttributes)
+  val regularAggChildren = (regularFunChildren ++ 
regularFilterAttrs).distinct
+  val regularAggChildAttrMap = 
regularAggChildren.map(expressionAttributePair)
+  val regularAggChildAttrLookup = regularAggChildAttrMap.toMap
+  val regularAggMap = regularAggExprs.map {
+case ae @ AggregateExpression(af, _, _, filter, _) =>
+  val newChildren = af.children.map(c => 
regularAggChildAttrLookup.getOrElse(c, c))
+  val raf = 
af.withNewChildren(newChildren).asInstanceOf[AggregateFunction]
+  val filterOpt = filter.map(_.transform {
+case a: Attribute => regularAggChildAttrLookup.getOrElse(a, a)
+  })
+  val aggExpr = ae.copy(aggregateFunction = raf, filter = filterOpt)
+  (ae, aggExpr)
+  }
 
-// Collect all aggregate expressions.
-val aggExpressions = a.aggregateExpressions.flatMap { e =>
-  e.collect {
-case ae: AggregateExpression => ae
+  // Setup expand for the distinct aggregate expressions.
+  val distinctAggExprs = distinctAggExpressions.filter(e => 
e.children.exists(!_.foldable))
+  val (projections, expressionAttrs, aggExprPairs) = distinctAggExprs.map {
+case ae @ AggregateExpression(af, _, _, filter, _) =>
+  // Why do we need to construct the `exprId` ?
+  // First, In order to reduce costs, it is better to handle the 
filter clause locally.
+  // e.g. COUNT (DISTINCT a) FILTER (WHERE id > 1), evaluate expression
+  // If(id > 1) 'a else null first, and use the result as output.
+  // Second, If at least two DISTINCT aggregate expression which may 
references the
+  // same attributes. We need to construct the generate attributes so 
as the output not
+  // lost. e.g. SUM (DISTINCT a), COUNT (DISTINCT a) FILTER (WHERE id 
> 1) will output
+  // attribute '_gen_distinct-1 and attribute '_gen_distinct-2 instead 
of two 'a.
+  // Note: We just need to illusion the expression with filter clause.
+  // The illusionary mechanism may result in multiple distinct 
aggregations uses
+  // different column, so we still need to call `rewrite`.
+  val exprId = NamedExpression.newExprId.id
+  val unfoldableChildren = af.children.filter(!_.foldable)
+  val exprAttrs = unfoldableChildren.map { e =>
+(e, AttributeReference(s"_gen_distinct_$exprId", e.dataType, 

[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368860880
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -148,24 +207,106 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 val distinctAggs = exprs.flatMap { _.collect {
   case ae: AggregateExpression if ae.isDistinct => ae
 }}
-// We need at least two distinct aggregates for this rule because 
aggregation
-// strategy can handle a single distinct group.
+// This rule serves two purposes:
+// One is to rewrite when there exists at least two distinct aggregates. 
We need at least
+// two distinct aggregates for this rule because aggregation strategy can 
handle a single
+// distinct group.
+// Another is to expand distinct aggregates which exists filter clause so 
that we can
+// evaluate the filter locally.
 // This check can produce false-positives, e.g., SUM(DISTINCT a) & 
COUNT(DISTINCT a).
-distinctAggs.size > 1
+distinctAggs.size >= 1 || distinctAggs.exists(_.filter.isDefined)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
-case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) => rewrite(a)
+case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) =>
+  val expandAggregate = extractFiltersInDistinctAggregate(a)
+  rewriteDistinctAggregate(expandAggregate)
   }
 
-  def rewrite(a: Aggregate): Aggregate = {
+  private def extractFiltersInDistinctAggregate(a: Aggregate): Aggregate = {
+val aggExpressions = collectAggregateExprs(a)
+val (distinctAggExpressions, regularAggExpressions) = 
aggExpressions.partition(_.isDistinct)
+if (distinctAggExpressions.exists(_.filter.isDefined)) {
+  // Setup expand for the 'regular' aggregate expressions. Because we will 
construct a new
+  // aggregate, the children of the distinct aggregates will be changed to 
the generate
+  // ones, so we need creates new references to avoid collisions between 
distinct and
+  // regular aggregate children.
+  val regularAggExprs = 
regularAggExpressions.filter(_.children.exists(!_.foldable))
+  val regularFunChildren = regularAggExprs
+.flatMap(_.aggregateFunction.children.filter(!_.foldable))
+  val regularFilterAttrs = regularAggExprs.flatMap(_.filterAttributes)
+  val regularAggChildren = (regularFunChildren ++ 
regularFilterAttrs).distinct
+  val regularAggChildAttrMap = 
regularAggChildren.map(expressionAttributePair)
+  val regularAggChildAttrLookup = regularAggChildAttrMap.toMap
+  val regularAggMap = regularAggExprs.map {
 
 Review comment:
   OK


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27242: [SPARK-30534][INFRA] Use mvn in `dev/scalastyle`

2020-01-21 Thread GitBox
HyukjinKwon commented on a change in pull request #27242: [SPARK-30534][INFRA] 
Use mvn in `dev/scalastyle`
URL: https://github.com/apache/spark/pull/27242#discussion_r368862220
 
 

 ##
 File path: dev/scalastyle
 ##
 @@ -17,18 +17,10 @@
 # limitations under the License.
 #
 
-SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive"}
+SCRIPT_DIR="$( cd "$( dirname "$0" )" && pwd )"
 
-# NOTE: echo "q" is needed because SBT prompts the user for input on 
encountering a build file
-# with failure (either resolution or compilation); the "q" makes SBT quit.
-ERRORS=$(echo -e "q\n" \
-| build/sbt \
-${SPARK_PROFILES} \
--Pdocker-integration-tests \
--Pkubernetes-integration-tests \
-scalastyle test:scalastyle \
-| awk '{if($1~/error/)print}' \
-)
+SPARK_PROFILES=${1:-"-Pmesos -Pkubernetes -Pyarn -Pspark-ganglia-lgpl 
-Pkinesis-asl -Phive-thriftserver -Phive -Pdocker-integration-tests 
-Pkubernetes-integration-tests"}
+ERRORS=$($SCRIPT_DIR/../build/mvn $SPARK_PROFILES scalastyle:check | grep 
"^error file")
 
 Review comment:
   Thanks for pointer, @dongjoon-hyun!


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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] Support Filter expression allows simultaneous use of DISTINCT

2020-01-21 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30276][SQL] 
Support Filter expression allows simultaneous use of DISTINCT
URL: https://github.com/apache/spark/pull/27058#discussion_r368863640
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -148,24 +207,106 @@ object RewriteDistinctAggregates extends 
Rule[LogicalPlan] {
 val distinctAggs = exprs.flatMap { _.collect {
   case ae: AggregateExpression if ae.isDistinct => ae
 }}
-// We need at least two distinct aggregates for this rule because 
aggregation
-// strategy can handle a single distinct group.
+// This rule serves two purposes:
+// One is to rewrite when there exists at least two distinct aggregates. 
We need at least
+// two distinct aggregates for this rule because aggregation strategy can 
handle a single
+// distinct group.
+// Another is to expand distinct aggregates which exists filter clause so 
that we can
+// evaluate the filter locally.
 // This check can produce false-positives, e.g., SUM(DISTINCT a) & 
COUNT(DISTINCT a).
-distinctAggs.size > 1
+distinctAggs.size >= 1 || distinctAggs.exists(_.filter.isDefined)
   }
 
   def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
-case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) => rewrite(a)
+case a: Aggregate if mayNeedtoRewrite(a.aggregateExpressions) =>
+  val expandAggregate = extractFiltersInDistinctAggregate(a)
+  rewriteDistinctAggregate(expandAggregate)
   }
 
-  def rewrite(a: Aggregate): Aggregate = {
+  private def extractFiltersInDistinctAggregate(a: Aggregate): Aggregate = {
+val aggExpressions = collectAggregateExprs(a)
+val (distinctAggExpressions, regularAggExpressions) = 
aggExpressions.partition(_.isDistinct)
+if (distinctAggExpressions.exists(_.filter.isDefined)) {
+  // Setup expand for the 'regular' aggregate expressions. Because we will 
construct a new
 
 Review comment:
   Thanks.


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[GitHub] [spark] yaooqinn commented on issue #27299: [SPARK-30547][SQL][FOLLOWUP] Update since anotation for CalendarInterval class

2020-01-21 Thread GitBox
yaooqinn commented on issue #27299: [SPARK-30547][SQL][FOLLOWUP] Update since 
anotation for CalendarInterval class
URL: https://github.com/apache/spark/pull/27299#issuecomment-576572236
 
 
   retest this please


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[GitHub] [spark] Ngone51 commented on issue #27302: [SPARK-30506][SQL][DOC] Document for generic file source options/configs

2020-01-21 Thread GitBox
Ngone51 commented on issue #27302: [SPARK-30506][SQL][DOC] Document for generic 
file source options/configs
URL: https://github.com/apache/spark/pull/27302#issuecomment-576572256
 
 
   > Could you make a link from sql-data-sources-avro.md for pathGlobFilter to 
docs/sql-data-sources-generic-options.md?
   
   @MaxGekk Sure, I will.


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[GitHub] [spark] yaooqinn commented on issue #27300: [SPARK-30591][SQL] Remove the nonstandard SET OWNER syntax for namespaces

2020-01-21 Thread GitBox
yaooqinn commented on issue #27300: [SPARK-30591][SQL] Remove the nonstandard 
SET OWNER syntax for namespaces
URL: https://github.com/apache/spark/pull/27300#issuecomment-576572383
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #27299: [SPARK-30547][SQL][FOLLOWUP] Update since anotation for CalendarInterval class

2020-01-21 Thread GitBox
SparkQA commented on issue #27299: [SPARK-30547][SQL][FOLLOWUP] Update since 
anotation for CalendarInterval class
URL: https://github.com/apache/spark/pull/27299#issuecomment-576573058
 
 
   **[Test build #117170 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/117170/testReport)**
 for PR 27299 at commit 
[`275f8e6`](https://github.com/apache/spark/commit/275f8e6c477fc6d75be61664fca574008d19ea72).


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