[GitHub] [spark] MaxGekk edited a comment on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
MaxGekk edited a comment on issue #26973: [SPARK-30323][SQL] Support filters 
pushdown in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573391098
 
 
   And in `pushedFilters`, I store only filters that refer to the schema, and 
the filters that I can handle.


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[GitHub] [spark] MaxGekk edited a comment on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
MaxGekk edited a comment on issue #26973: [SPARK-30323][SQL] Support filters 
pushdown in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573390974
 
 
   @cloud-fan The problem was in the line 
https://github.com/apache/spark/pull/26973/commits/f0aa0a88bfa0c87007f8781ba7fac8f9cd3057ba#diff-faa3cfad03552057c3cb431c5ce87f03L52
 where I returned an empty array 
(https://github.com/apache/spark/commit/f0aa0a88bfa0c87007f8781ba7fac8f9cd3057ba#diff-44a98c4a53980cb04e57f0489b257a37L141).
   
   The comment for pushFilters says that I should return filters that should be 
evaluated after scanning
   
https://github.com/apache/spark/blob/053dd858d38e6107bc71e0aa3a4954291b74f8c8/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/SupportsPushDownFilters.java#L31
   I guessed if I consumed all filters then I should return nothing. But 
looking at ORC and Parquet, I noticed that they return all filters:
   
https://github.com/apache/spark/blob/5114389aef2cacaacc82e6025696b33d6d20b2a6/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala#L65
   
https://github.com/apache/spark/blob/5114389aef2cacaacc82e6025696b33d6d20b2a6/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScanBuilder.scala#L65


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[GitHub] [spark] MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown 
in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573391098
 
 
   And in `pushedFilters`, I store only filters that refers to the schema, and 
the filters that I can handle.


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[GitHub] [spark] MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown 
in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573390974
 
 
   @cloud-fan The problem was in the line 
https://github.com/apache/spark/pull/26973/commits/f0aa0a88bfa0c87007f8781ba7fac8f9cd3057ba#diff-faa3cfad03552057c3cb431c5ce87f03L52
 where I returned an empty array.
   
   The comment for pushFilters says that I should return filters that should be 
evaluated after scanning
   
https://github.com/apache/spark/blob/053dd858d38e6107bc71e0aa3a4954291b74f8c8/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/SupportsPushDownFilters.java#L31
   I guessed if I consumed all filters then I should return nothing. But 
looking at ORC and Parquet, I noticed that they return all filters:
   
https://github.com/apache/spark/blob/5114389aef2cacaacc82e6025696b33d6d20b2a6/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala#L65
   
https://github.com/apache/spark/blob/5114389aef2cacaacc82e6025696b33d6d20b2a6/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScanBuilder.scala#L65


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[GitHub] [spark] ulysses-you commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in SimplifyBinaryComparison optimization

2020-01-11 Thread GitBox
ulysses-you commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check 
in SimplifyBinaryComparison optimization
URL: https://github.com/apache/spark/pull/27008#issuecomment-573390408
 
 
   @cloud-fan  thanks for merging. Thanks all !


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[GitHub] [spark] cloud-fan commented on a change in pull request #26231: [SPARK-29572][SQL] add v1 read fallback API in DS v2

2020-01-11 Thread GitBox
cloud-fan commented on a change in pull request #26231: [SPARK-29572][SQL] add 
v1 read fallback API in DS v2
URL: https://github.com/apache/spark/pull/26231#discussion_r365563231
 
 

 ##
 File path: 
sql/core/src/main/java/org/apache/spark/sql/connector/read/V1Scan.java
 ##
 @@ -0,0 +1,43 @@
+/*
+ * 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.connector.read;
+
+import org.apache.spark.annotation.Unstable;
+import org.apache.spark.sql.SQLContext;
+import org.apache.spark.sql.sources.BaseRelation;
+import org.apache.spark.sql.sources.TableScan;
+
+/**
+ * A trait that should be implemented by V1 DataSources that would like to 
leverage the DataSource
+ * V2 read code paths.
+ *
+ * This interface is designed to provide Spark DataSources time to migrate to 
DataSource V2 and
+ * will be removed in a future Spark release.
+ *
+ * @since 3.0.0
+ */
+@Unstable
+public interface V1Scan extends Scan {
+
+  /**
+   * Creates an `BaseRelation` with `TableScan` that can scan data from 
DataSource v1 to RDD[Row].
+   *
+   * @since 3.0.0
+   */
+   T toV1TableScan(SQLContext context);
 
 Review comment:
   We haven't marked `SQLContext` as deprecated yet.


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[GitHub] [spark] cloud-fan commented on a change in pull request #26231: [SPARK-29572][SQL] add v1 read fallback API in DS v2

2020-01-11 Thread GitBox
cloud-fan commented on a change in pull request #26231: [SPARK-29572][SQL] add 
v1 read fallback API in DS v2
URL: https://github.com/apache/spark/pull/26231#discussion_r365563206
 
 

 ##
 File path: 
sql/core/src/main/java/org/apache/spark/sql/connector/read/V1Scan.java
 ##
 @@ -0,0 +1,43 @@
+/*
+ * 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.connector.read;
+
+import org.apache.spark.annotation.Unstable;
+import org.apache.spark.sql.SQLContext;
+import org.apache.spark.sql.sources.BaseRelation;
+import org.apache.spark.sql.sources.TableScan;
+
+/**
+ * A trait that should be implemented by V1 DataSources that would like to 
leverage the DataSource
+ * V2 read code paths.
+ *
+ * This interface is designed to provide Spark DataSources time to migrate to 
DataSource V2 and
+ * will be removed in a future Spark release.
+ *
+ * @since 3.0.0
+ */
+@Unstable
+public interface V1Scan extends Scan {
 
 Review comment:
   The idea is the same with v1 write fallback API. The v1 write fallback API 
also relies on the v2 API to config the write. It's better to leverage the v2 
infra as much as we can. e.g. we may improve the v2 pushdown to push more 
operators that v1 doesn't support.


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[GitHub] [spark] MaxGekk edited a comment on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
MaxGekk edited a comment on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add 
sub-class of `AppenderSkeleton` reusable in tests
URL: https://github.com/apache/spark/pull/27166#issuecomment-573389742
 
 
   The difference between the master and this PR is some tests could put more 
log event in log appender like 
https://github.com/apache/spark/pull/27166/files#diff-5a20f7138b31f3c344a4af7ab6f426daL45
 but log appender should be removed at the end of the test. The problem could 
happen if a log appender is not removed and continue gather other log events.
   
   I will add a check for maximum number of logged events in `LogAppender`.


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[GitHub] [spark] MaxGekk commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
MaxGekk commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add 
sub-class of `AppenderSkeleton` reusable in tests
URL: https://github.com/apache/spark/pull/27166#issuecomment-573389742
 
 
   The difference between the master and this PR is some tests could put more 
log event in log appender like 
https://github.com/apache/spark/pull/27166/files#diff-5a20f7138b31f3c344a4af7ab6f426daL45
 but log appender should be removed at the end of the test. The problem could 
happen if a log appender is not removed and continue gather other log events.


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[GitHub] [spark] cloud-fan commented on issue #26921: [SPARK-30282][SQL] Integrate V2 commands with UnresolvedV2Relation into new resolution framework

2020-01-11 Thread GitBox
cloud-fan commented on issue #26921: [SPARK-30282][SQL] Integrate V2 commands 
with UnresolvedV2Relation into new resolution framework
URL: https://github.com/apache/spark/pull/26921#issuecomment-573389585
 
 
   SGTM


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[GitHub] [spark] cloud-fan commented on issue #25024: [SPARK-27296][SQL] Allows Aggregator to be registered as a UDF

2020-01-11 Thread GitBox
cloud-fan commented on issue #25024: [SPARK-27296][SQL] Allows Aggregator to be 
registered as a UDF
URL: https://github.com/apache/spark/pull/25024#issuecomment-573389525
 
 
   thanks, merging to master!


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[GitHub] [spark] cloud-fan closed pull request #25024: [SPARK-27296][SQL] Allows Aggregator to be registered as a UDF

2020-01-11 Thread GitBox
cloud-fan closed pull request #25024: [SPARK-27296][SQL] Allows Aggregator to 
be registered as a UDF
URL: https://github.com/apache/spark/pull/25024
 
 
   


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[GitHub] [spark] cloud-fan commented on issue #27151: [SPARK-26218][SQL][Follow up] Fix the corner case when casting float to Integer.

2020-01-11 Thread GitBox
cloud-fan commented on issue #27151: [SPARK-26218][SQL][Follow up] Fix the 
corner case when casting float to Integer.
URL: https://github.com/apache/spark/pull/27151#issuecomment-573389447
 
 
   We are talking about SQL semantic not IEEE floating number definition.
   
   For pgsql
   ```
   cloud0fan=# SELECT CAST(CAST(2147483648 as FLOAT) as Int);
   ERROR:  integer out of range
   ```
   
   I think the fix makes sense.


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[GitHub] [spark] MaxGekk commented on a change in pull request #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
MaxGekk commented on a change in pull request #27166: 
[SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in 
tests
URL: https://github.com/apache/spark/pull/27166#discussion_r365562130
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/OptimizerLoggingSuite.scala
 ##
 @@ -39,45 +36,25 @@ class OptimizerLoggingSuite extends PlanTest {
 ColumnPruning) :: Nil
   }
 
-  class MockAppender extends AppenderSkeleton {
-val loggingEvents = new ArrayBuffer[LoggingEvent]()
-
-override def append(loggingEvent: LoggingEvent): Unit = {
-  if (loggingEvent.getRenderedMessage().contains("Applying Rule") ||
-loggingEvent.getRenderedMessage().contains("Result of Batch") ||
-loggingEvent.getRenderedMessage().contains("has no effect")) {
-loggingEvents.append(loggingEvent)
-  }
-}
-
-override def close(): Unit = {}
-override def requiresLayout(): Boolean = false
-  }
-
-  private def withLogLevelAndAppender(level: Level, appender: Appender)(f: => 
Unit): Unit = {
 
 Review comment:
   This is removed because the method is not used in the test suite.


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[GitHub] [spark] cloud-fan closed pull request #27008: [SPARK-30353][SQL] Add IsNotNull check in SimplifyBinaryComparison optimization

2020-01-11 Thread GitBox
cloud-fan closed pull request #27008: [SPARK-30353][SQL] Add IsNotNull check in 
SimplifyBinaryComparison optimization
URL: https://github.com/apache/spark/pull/27008
 
 
   


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[GitHub] [spark] cloud-fan commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in SimplifyBinaryComparison optimization

2020-01-11 Thread GitBox
cloud-fan commented on issue #27008: [SPARK-30353][SQL] Add IsNotNull check in 
SimplifyBinaryComparison optimization
URL: https://github.com/apache/spark/pull/27008#issuecomment-573388716
 
 
   thanks, merging to master!


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[GitHub] [spark] AmplabJenkins commented on issue #27130: [SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with subdirectories

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #27130: [SPARK-25993][SQL][TESTS] Add test 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27169: [SPARK-30485][SQL] Remove SQL configs deprecated in Spark 2.1 and 2.3

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[GitHub] [spark] AmplabJenkins commented on issue #27130: [SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with subdirectories

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27169: [SPARK-30485][SQL] Remove SQL configs deprecated in Spark 2.1 and 2.3

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27130: [SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with subdirectories

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[GitHub] [spark] AmplabJenkins commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs deprecated in Spark 2.1 and 2.3

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs 
deprecated in Spark 2.1 and 2.3
URL: https://github.com/apache/spark/pull/27169#issuecomment-573388635
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs deprecated in Spark 2.1 and 2.3

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs 
deprecated in Spark 2.1 and 2.3
URL: https://github.com/apache/spark/pull/27169#issuecomment-573388633
 
 
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[GitHub] [spark] MaxGekk commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
MaxGekk commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add 
sub-class of `AppenderSkeleton` reusable in tests
URL: https://github.com/apache/spark/pull/27166#issuecomment-573388568
 
 
   Not sure how it is related to my changes:
   ```
   ==
   ERROR: test_memory_limit (pyspark.tests.test_worker.WorkerMemoryTest)
   --
   Traceback (most recent call last):
 File 
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/tests/test_worker.py",
 line 193, in test_memory_limit
   actual = rdd.map(lambda _: getrlimit()).collect()
 File 
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/rdd.py", line 
889, in collect
   sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
 File 
"/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py",
 line 1286, in __call__
   answer, self.gateway_client, self.target_id, self.name)
 File 
"/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.10.8.1-src.zip/py4j/protocol.py",
 line 328, in get_return_value
   format(target_id, ".", name), value)
   Py4JJavaError: An error occurred while calling 
z:org.apache.spark.api.python.PythonRDD.collectAndServe.
   : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 
in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 
(TID 0, amp-jenkins-worker-05.amp, executor driver): 
org.apache.spark.SparkException: Python worker exited unexpectedly (crashed)
   ```


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[GitHub] [spark] SparkQA commented on issue #27130: [SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with subdirectories

2020-01-11 Thread GitBox
SparkQA commented on issue #27130: [SPARK-25993][SQL][TESTS] Add test cases for 
CREATE EXTERNAL TABLE with subdirectories
URL: https://github.com/apache/spark/pull/27130#issuecomment-573388533
 
 
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[GitHub] [spark] SparkQA commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs deprecated in Spark 2.1 and 2.3

2020-01-11 Thread GitBox
SparkQA commented on issue #27169: [SPARK-30485][SQL] Remove SQL configs 
deprecated in Spark 2.1 and 2.3
URL: https://github.com/apache/spark/pull/27169#issuecomment-573388529
 
 
   **[Test build #116547 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/116547/testReport)**
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[GitHub] [spark] kevinyu98 commented on a change in pull request #27130: [SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with subdirectories

2020-01-11 Thread GitBox
kevinyu98 commented on a change in pull request #27130: 
[SPARK-25993][SQL][TESTS] Add test cases for CREATE EXTERNAL TABLE with 
subdirectories
URL: https://github.com/apache/spark/pull/27130#discussion_r365561742
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala
 ##
 @@ -170,4 +170,156 @@ class HiveOrcSourceSuite extends OrcSuite with 
TestHiveSingleton {
   test("SPARK-11412 read and merge orc schemas in parallel") {
 testMergeSchemasInParallel(OrcFileOperator.readOrcSchemasInParallel)
   }
+
+  test("SPARK-25993 CREATE EXTERNAL TABLE with subdirectories") {
+Seq(true, false).foreach { convertMetastore =>
+  withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> s"$convertMetastore") 
{
+withTempDir { dir =>
+  try {
+sql("USE default")
+sql(
+  """
+|CREATE EXTERNAL TABLE hive_orc(
 
 Review comment:
   @dongjoon-hyun Thanks for pointing out this. I was using other test cases 
without thinking too much. I have changed the name. I also replaced the 
hiveClient.runSqlHive for the insert stmt.


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[GitHub] [spark] cloud-fan commented on issue #22173: [SPARK-24355] Spark external shuffle server improvement to better handle block fetch requests.

2020-01-11 Thread GitBox
cloud-fan commented on issue #22173: [SPARK-24355] Spark external shuffle 
server improvement to better handle block fetch requests.
URL: https://github.com/apache/spark/pull/22173#issuecomment-573387824
 
 
   Sounds good to me. We can explore different solutions after 3.0.


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[GitHub] [spark] emaynardigs edited a comment on issue #27155: [SPARK-17636][SPARK-25557][SQL] Parquet and ORC predicate pushdown in nested fields

2020-01-11 Thread GitBox
emaynardigs edited a comment on issue #27155: [SPARK-17636][SPARK-25557][SQL] 
Parquet and ORC predicate pushdown in nested fields
URL: https://github.com/apache/spark/pull/27155#issuecomment-573387721
 
 
   Yes, surely we should close one PR. The other one is inactive, fails tests, 
and doesn’t merge cleanly. This one has none of those issues and has more 
functionality. 
   
   I don’t mind closing this one out if the other PR can get us to the same 
place just as quickly, but that seems like it would take more work at this 
point? Either way, let’s make sure there is an active PR for this issue which 
can be merged in. As I have no control over any other PR this is my submission 
towards that end.


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[GitHub] [spark] cloud-fan commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
cloud-fan commented on issue #26973: [SPARK-30323][SQL] Support filters 
pushdown in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573387725
 
 
   How did you fix https://github.com/apache/spark/pull/27112/files#r365539740 
? I took a quick look and not sure what was wrong before.


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[GitHub] [spark] emaynardigs commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] Parquet and ORC predicate pushdown in nested fields

2020-01-11 Thread GitBox
emaynardigs commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] Parquet 
and ORC predicate pushdown in nested fields
URL: https://github.com/apache/spark/pull/27155#issuecomment-573387721
 
 
   Yes, surely we should close one PR. The other one is inactive, fails, tests, 
and doesn’t merge cleanly. This one has none of those issues and has more 
functionality. 
   
   I don’t mind closing this one out if the other PR can get us to the same 
place just as quickly, but that seems like it would take more work at this 
point? Either way, let’s make sure there is an active PR for this issue which 
can be merged in. As I have no control over any other PR this is my submission 
towards that end.


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[GitHub] [spark] MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown in CSV datasource

2020-01-11 Thread GitBox
MaxGekk commented on issue #26973: [SPARK-30323][SQL] Support filters pushdown 
in CSV datasource
URL: https://github.com/apache/spark/pull/26973#issuecomment-573387323
 
 
   @HyukjinKwon @dongjoon-hyun @cloud-fan Could you review this PR, please.


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[GitHub] [spark] AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434#issuecomment-573386516
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434#issuecomment-573386514
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
AmplabJenkins removed a comment on issue #26434: [SPARK-29544] [SQL] optimize 
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URL: https://github.com/apache/spark/pull/26434#issuecomment-573386516
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

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[GitHub] [spark] SparkQA commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
SparkQA commented on issue #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434#issuecomment-573386433
 
 
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[GitHub] [spark] cloud-fan commented on issue #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
cloud-fan commented on issue #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434#issuecomment-573386247
 
 
   retest this please


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[GitHub] [spark] JkSelf opened a new pull request #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
JkSelf opened a new pull request #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434
 
 
   
   
   ### What changes were proposed in this pull request?
   This PR implement a rule `OptimizeSkewedPartitions` to optimize the skewed 
partition based on the partition data size. 
   
   
   
   ### Why are the changes needed?
   To optimize the skewed partition in runtime based on AQE
   
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   
   ### How was this patch tested?
   UT
   
   


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[GitHub] [spark] cloud-fan closed pull request #26434: [SPARK-29544] [SQL] optimize skewed partition based on data size

2020-01-11 Thread GitBox
cloud-fan closed pull request #26434: [SPARK-29544] [SQL] optimize skewed 
partition based on data size
URL: https://github.com/apache/spark/pull/26434
 
 
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

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AmplabJenkins removed a comment on issue #27041: [SPARK-25061][SQL] Precedence 
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[GitHub] [spark] SparkQA removed a comment on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
SparkQA removed a comment on issue #27041: [SPARK-25061][SQL] Precedence for 
ThriftServer hiveconf commandline parameter
URL: https://github.com/apache/spark/pull/27041#issuecomment-573377825
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
AmplabJenkins commented on issue #27041: [SPARK-25061][SQL] Precedence for 
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[GitHub] [spark] AmplabJenkins commented on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
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[GitHub] [spark] SparkQA commented on issue #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
SparkQA commented on issue #27041: [SPARK-25061][SQL] Precedence for 
ThriftServer hiveconf commandline parameter
URL: https://github.com/apache/spark/pull/27041#issuecomment-573385177
 
 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27164: [SPARK-30479][SQL] Apply compaction of event log to SQL events

2020-01-11 Thread GitBox
AmplabJenkins removed a comment on issue #27164: [SPARK-30479][SQL] Apply 
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[GitHub] [spark] dongjoon-hyun commented on issue #27077: [SPARK-30408][SQL] Should not remove orderBy in sortBy clause in Optimizer

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27077: [SPARK-30408][SQL] Should not remove orderBy in sortBy clause in Optimizer

2020-01-11 Thread GitBox
dongjoon-hyun commented on a change in pull request #27077: [SPARK-30408][SQL] 
Should not remove orderBy in sortBy clause in Optimizer
URL: https://github.com/apache/spark/pull/27077#discussion_r365556941
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/EliminateSortsSuite.scala
 ##
 @@ -308,4 +308,27 @@ class EliminateSortsSuite extends PlanTest {
 val correctAnswer = PushDownOptimizer.execute(noOrderByPlan.analyze)
 comparePlans(optimized, correctAnswer)
   }
+
+  test("should not remove orderBy in sortBy clause") {
 
 Review comment:
   @apapi . Please change like the following.
   ```scala
   - test("should not remove orderBy in sortBy clause") {
   + test("SPARK-30408 should not remove orderBy in sortBy clause") {
   ```


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27077: [SPARK-30408][SQL] Should not remove orderBy in sortBy clause in Optimizer

2020-01-11 Thread GitBox
dongjoon-hyun commented on a change in pull request #27077: [SPARK-30408][SQL] 
Should not remove orderBy in sortBy clause in Optimizer
URL: https://github.com/apache/spark/pull/27077#discussion_r365556941
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/EliminateSortsSuite.scala
 ##
 @@ -308,4 +308,27 @@ class EliminateSortsSuite extends PlanTest {
 val correctAnswer = PushDownOptimizer.execute(noOrderByPlan.analyze)
 comparePlans(optimized, correctAnswer)
   }
+
+  test("should not remove orderBy in sortBy clause") {
 
 Review comment:
   Hi, @apapi . Please change like the following.
   ```scala
   - test("should not remove orderBy in sortBy clause") {
   + test("SPARK-30408 should not remove orderBy in sortBy clause") {
   ```


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[GitHub] [spark] dongjoon-hyun commented on issue #27077: [SPARK-30408][SQL] Should not remove orderBy in sortBy clause in Optimizer

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27077: [SPARK-30408][SQL] Should not remove 
orderBy in sortBy clause in Optimizer
URL: https://github.com/apache/spark/pull/27077#issuecomment-573380891
 
 
   Retest this please.


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[GitHub] [spark] sddyljsx commented on issue #27135: [SPARK-30458][WEBUI] Fix Wrong Executor Computing Time in Time Line of Stage Page

2020-01-11 Thread GitBox
sddyljsx commented on issue #27135: [SPARK-30458][WEBUI] Fix Wrong Executor 
Computing Time in Time Line of Stage Page
URL: https://github.com/apache/spark/pull/27135#issuecomment-573380355
 
 
   Thanks for review! @srowen @dongjoon-hyun  @lw-lin @HyukjinKwon 
@gengliangwang 


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[GitHub] [spark] sddyljsx commented on issue #27160: [SPARK-30478][CORE][DOCS] Fix Memory Package documentation

2020-01-11 Thread GitBox
sddyljsx commented on issue #27160: [SPARK-30478][CORE][DOCS] Fix Memory 
Package documentation
URL: https://github.com/apache/spark/pull/27160#issuecomment-573380206
 
 
   Thanks! @srowen @dongjoon-hyun 


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[GitHub] [spark] dongjoon-hyun closed pull request #27135: [SPARK-30458][WEBUI] Fix Wrong Executor Computing Time in Time Line of Stage Page

2020-01-11 Thread GitBox
dongjoon-hyun closed pull request #27135: [SPARK-30458][WEBUI] Fix Wrong 
Executor Computing Time in Time Line of Stage Page
URL: https://github.com/apache/spark/pull/27135
 
 
   


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[GitHub] [spark] dongjoon-hyun closed pull request #27160: [SPARK-30478][CORE][DOCS] Fix Memory Package documentation

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[GitHub] [spark] SparkQA commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
SparkQA commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add 
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URL: https://github.com/apache/spark/pull/27166#issuecomment-573379393
 
 
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[GitHub] [spark] SparkQA commented on issue #27164: [SPARK-30479][SQL] Apply compaction of event log to SQL events

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[GitHub] [spark] SparkQA commented on issue #27160: [SPARK-30478][CORE][DOCS] Fix Memory Package documentation

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SparkQA commented on issue #27160: [SPARK-30478][CORE][DOCS] Fix Memory Package 
documentation
URL: https://github.com/apache/spark/pull/27160#issuecomment-573379392
 
 
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[GitHub] [spark] dongjoon-hyun commented on issue #27160: [SPARK-30478][Core]Update the Doc of Memory Package

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27160: [SPARK-30478][Core]Update the Doc of 
Memory Package
URL: https://github.com/apache/spark/pull/27160#issuecomment-573379133
 
 
   Retest this please.


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[GitHub] [spark] dongjoon-hyun commented on issue #27164: [SPARK-30479][SQL] Apply compaction of event log to SQL events

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27164: [SPARK-30479][SQL] Apply compaction of 
event log to SQL events
URL: https://github.com/apache/spark/pull/27164#issuecomment-573379086
 
 
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[GitHub] [spark] dongjoon-hyun commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add sub-class of `AppenderSkeleton` reusable in tests

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27166: [SPARK-30482][SQL][CORE][TESTS] Add 
sub-class of `AppenderSkeleton` reusable in tests
URL: https://github.com/apache/spark/pull/27166#issuecomment-573379013
 
 
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[GitHub] [spark] dongjoon-hyun commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] Parquet and ORC predicate pushdown in nested fields

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] 
Parquet and ORC predicate pushdown in nested fields
URL: https://github.com/apache/spark/pull/27155#issuecomment-573378599
 
 
   I'll leave this PR to @dbtsai .


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[GitHub] [spark] dongjoon-hyun commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] Parquet and ORC predicate pushdown in nested fields

2020-01-11 Thread GitBox
dongjoon-hyun commented on issue #27155: [SPARK-17636][SPARK-25557][SQL] 
Parquet and ORC predicate pushdown in nested fields
URL: https://github.com/apache/spark/pull/27155#issuecomment-573378544
 
 
   @emaynardigs . In this case, usually, we close the second PR (yours) because 
the original is still alive. You can retry this after the first one is closed.
   > Firstly, I should say that there are actually no commits here under the 
original author's ownership; the code has diverged to the point now where, 


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27041: [SPARK-25061][SQL] Precedence for ThriftServer hiveconf commandline parameter

2020-01-11 Thread GitBox
dongjoon-hyun commented on a change in pull request #27041: [SPARK-25061][SQL] 
Precedence for ThriftServer hiveconf commandline parameter
URL: https://github.com/apache/spark/pull/27041#discussion_r36097
 
 

 ##
 File path: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
 ##
 @@ -177,9 +177,14 @@ private[hive] class HiveClientImpl(
 // has hive-site.xml. So, HiveConf will use that to override its default 
values.
 // 2: we set all spark confs to this hiveConf.
 // 3: we set all entries in config to this hiveConf.
+
+// not to loose command line overwritten properties
 
 Review comment:
   According to the context, do you mean `lose` instead of `loose`?


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