[GitHub] [spark] maropu commented on issue #26008: [MINOR][TESTS] Rename JsonBenchmark.scala to JSONBenchmark.scala to match class name

2019-10-02 Thread GitBox
maropu commented on issue #26008: [MINOR][TESTS] Rename JsonBenchmark.scala to 
JSONBenchmark.scala to match class name
URL: https://github.com/apache/spark/pull/26008#issuecomment-537800095
 
 
   nit: we have no consistent name rule for that? Since `Json` is more popular, 
`JSONBenchmark` -> `JsonBenchmark` instead of `JsonBenchmark.scala` -> 
`JSONBenchmark.scala`?
   ```
   $ find . -type f | grep -e "\.scala$" | grep Json
   ./core/src/main/scala/org/apache/spark/deploy/JsonProtocol.scala
   ./core/src/main/scala/org/apache/spark/util/JsonProtocol.scala
   ./core/src/test/scala/org/apache/spark/deploy/JsonProtocolSuite.scala
   ./core/src/test/scala/org/apache/spark/JsonTestUtils.scala
   ./core/src/test/scala/org/apache/spark/util/JsonProtocolSuite.scala
   
./external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/JsonUtils.scala
   
./external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/JsonUtilsSuite.scala
   ./mllib/src/main/scala/org/apache/spark/ml/linalg/JsonMatrixConverter.scala
   ./mllib/src/main/scala/org/apache/spark/ml/linalg/JsonVectorConverter.scala
   
./mllib/src/test/scala/org/apache/spark/ml/linalg/JsonMatrixConverterSuite.scala
   
./mllib/src/test/scala/org/apache/spark/ml/linalg/JsonVectorConverterSuite.scala
   
./sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
   
./sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/JsonExpressionsSuite.scala
   
./sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonFileFormat.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonOutputWriter.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonUtils.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonDataSourceV2.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonPartitionReaderFactory.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonScan.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonScanBuilder.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonTable.scala
   
./sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/json/JsonWriteBuilder.scala
   
./sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala
   
./sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonParsingOptionsSuite.scala
   
./sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
   
./sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/TestJsonData.scala
   
./sql/core/src/test/scala/org/apache/spark/sql/execution/SQLJsonProtocolSuite.scala
   ./sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala
   
./sql/hive/src/test/scala/org/apache/spark/sql/sources/JsonHadoopFsRelationSuite.scala
   
   $ find . -type f | grep -e "\.scala$" | grep JSON
   
./sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
   ```


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[GitHub] [spark] SparkQA commented on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

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[GitHub] [spark] SparkQA removed a comment on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

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[GitHub] [spark] karuppayya commented on issue #25995: SPARK-29324: Fix overwrite behaviour for saveAsTable

2019-10-02 Thread GitBox
karuppayya commented on issue #25995: SPARK-29324: Fix overwrite behaviour for 
saveAsTable 
URL: https://github.com/apache/spark/pull/25995#issuecomment-537790057
 
 
   Can someone help review this change 


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[GitHub] [spark] huaxingao commented on issue #26004: [SPARK-29142][PYTHON][ML][FOLLOWUP][DOC] Replace incorrect :py:attr: applications

2019-10-02 Thread GitBox
huaxingao commented on issue #26004: [SPARK-29142][PYTHON][ML][FOLLOWUP][DOC] 
Replace incorrect :py:attr: applications
URL: https://github.com/apache/spark/pull/26004#issuecomment-537787996
 
 
   LGTM. Thanks for catching the problem. @zero323 


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[GitHub] [spark] viirya commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
viirya commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive 
external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537784884
 
 
   I am not sure if this is designed behavior of Hive.
   
   You can see a similar issue at Hive 
https://jira.apache.org/jira/browse/HIVE-18702. INSERT OVERWRITE should clean 
table directory.
   
   The last comment in that ticket, someone left a comment describing the same 
case as this. He said he will create a ticket, but I do not see that.


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[GitHub] [spark] SparkQA commented on issue #26007: [SPARK-28962][SPARK-27297][SQL] Add overload for filter with index to functions object

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SparkQA commented on issue #26007: [SPARK-28962][SPARK-27297][SQL] Add overload 
for filter with index to functions object
URL: https://github.com/apache/spark/pull/26007#issuecomment-537779368
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] dongjoon-hyun commented on issue #20640: [SPARK-19755][Mesos] Blacklist is always active for MesosCoarseGrainedSchedulerBackend

2019-10-02 Thread GitBox
dongjoon-hyun commented on issue #20640: [SPARK-19755][Mesos] Blacklist is 
always active for MesosCoarseGrainedSchedulerBackend
URL: https://github.com/apache/spark/pull/20640#issuecomment-537778659
 
 
   Got it, @squito . I'll follow your advice.


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[GitHub] [spark] SparkQA commented on issue #25951: [SPARK-28917][CORE] Synchronize access to RDD mutable state.

2019-10-02 Thread GitBox
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RDD mutable state.
URL: https://github.com/apache/spark/pull/25951#issuecomment-537776459
 
 
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[GitHub] [spark] SparkQA commented on issue #26003: [WIP][SPARK-29320][TESTS] Compare `sql/core` module in JDK8/11

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module in JDK8/11
URL: https://github.com/apache/spark/pull/26003#issuecomment-537776033
 
 
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* This patch passes all tests.
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[GitHub] [spark] SparkQA removed a comment on issue #26003: [WIP][SPARK-29320][TESTS] Compare `sql/core` module in JDK8/11

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[GitHub] [spark] dongjoon-hyun commented on issue #25816: [SPARK-29107][SQL][TESTS] Port window.sql (Part 1)

2019-10-02 Thread GitBox
dongjoon-hyun commented on issue #25816: [SPARK-29107][SQL][TESTS] Port 
window.sql (Part 1)
URL: https://github.com/apache/spark/pull/25816#issuecomment-537774869
 
 
   Hmm. Still `Result did not match for query ` for the following. 
   ```
   SELECT four, ten/4 as two,
   sum(ten/4) over (partition by four order by ten/4 range between unbounded 
preceding and current row),
   last(ten/4) over (partition by four order by ten/4 range between unbounded 
preceding and current row)
   FROM (select distinct ten, four from tenk1) ss
   ```
   
   @DylanGuedes . Could you post the query result in both `spark-shell` and 
`spark-sql`?
   Previously, there was a bug which the result is different in both shells and 
`spark-sql` is similar with Spark Thrift Server.


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[GitHub] [spark] felixcheung commented on a change in pull request #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

2019-10-02 Thread GitBox
felixcheung commented on a change in pull request #25993: [SPARK-29339][R] 
Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)
URL: https://github.com/apache/spark/pull/25993#discussion_r330855381
 
 

 ##
 File path: appveyor.yml
 ##
 @@ -46,9 +46,9 @@ install:
   # Here, we use the fixed version of testthat. For more details, please see 
SPARK-22817.
   # As of devtools 2.1.0, it requires testthat higher then 2.1.1 as a 
dependency. SparkR test requires testthat 1.0.2.
   # Therefore, we don't use devtools but installs it directly from the archive 
including its dependencies.
-  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6'), 
repos='https://cloud.r-project.org/')"
+  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6', 'arrow'), 
repos='https://cloud.r-project.org/')"
   - cmd: R -e 
"install.packages('https://cloud.r-project.org/src/contrib/Archive/testthat/testthat_1.0.2.tar.gz',
 repos=NULL, type='source')"
-  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); packageVersion('survival')"
+  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); 
packageVersion('survival'); packageVersion('arrow')"
 
 Review comment:
   SG


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[GitHub] [spark] felixcheung commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
felixcheung commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to 
Hive external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537773757
 
 
   or we do
   > exception thrown (Hive 2.3.2)


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[GitHub] [spark] felixcheung commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
felixcheung commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to 
Hive external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537773541
 
 
   yeah, this is a hard one, obviously the behavior is buggy, hard to detect 
etc. but that's how Hive is designed. I think we should log a warn in Spark at 
least so interested folks (like us) can detect this after the job is run
   
   > On Hive 2.1.0, two "INSERT OVERWRITE" produces data file with same name 
like 00_0. The second "INSERT OVERWRITE" moves the file into and overwrite 
old file.
   
   > On Hive 2.3.2, the second "INSERT OVERWRITE" causes following failure when 
moving file with same name
   
   we can't really rely on the name being the same to overwrite. it depends on 
a number of things. for instance, if the original partition has 10B row and 1M 
file, overwritten with new partition having 1B and 100k file, then a lot of 
files are not going to be overwritten (like 900k)


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

2019-10-02 Thread GitBox
HyukjinKwon commented on a change in pull request #25993: [SPARK-29339][R] 
Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)
URL: https://github.com/apache/spark/pull/25993#discussion_r330854715
 
 

 ##
 File path: appveyor.yml
 ##
 @@ -46,9 +46,9 @@ install:
   # Here, we use the fixed version of testthat. For more details, please see 
SPARK-22817.
   # As of devtools 2.1.0, it requires testthat higher then 2.1.1 as a 
dependency. SparkR test requires testthat 1.0.2.
   # Therefore, we don't use devtools but installs it directly from the archive 
including its dependencies.
-  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6'), 
repos='https://cloud.r-project.org/')"
+  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6', 'arrow'), 
repos='https://cloud.r-project.org/')"
   - cmd: R -e 
"install.packages('https://cloud.r-project.org/src/contrib/Archive/testthat/testthat_1.0.2.tar.gz',
 repos=NULL, type='source')"
-  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); packageVersion('survival')"
+  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); 
packageVersion('survival'); packageVersion('arrow')"
 
 Review comment:
   Maybe .. it will needs to install `devtools` which upgrades `testthat` ... 
so it's a bit tricky to install a specific version for now.
   
   I was thinking about testing the latest in AppVeyor and old version at 
Jenkins anyway. should be fine.


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[GitHub] [spark] felixcheung commented on a change in pull request #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

2019-10-02 Thread GitBox
felixcheung commented on a change in pull request #25993: [SPARK-29339][R] 
Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)
URL: https://github.com/apache/spark/pull/25993#discussion_r330854350
 
 

 ##
 File path: appveyor.yml
 ##
 @@ -46,9 +46,9 @@ install:
   # Here, we use the fixed version of testthat. For more details, please see 
SPARK-22817.
   # As of devtools 2.1.0, it requires testthat higher then 2.1.1 as a 
dependency. SparkR test requires testthat 1.0.2.
   # Therefore, we don't use devtools but installs it directly from the archive 
including its dependencies.
-  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6'), 
repos='https://cloud.r-project.org/')"
+  - cmd: R -e "install.packages(c('crayon', 'praise', 'R6', 'arrow'), 
repos='https://cloud.r-project.org/')"
   - cmd: R -e 
"install.packages('https://cloud.r-project.org/src/contrib/Archive/testthat/testthat_1.0.2.tar.gz',
 repos=NULL, type='source')"
-  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); packageVersion('survival')"
+  - cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); 
packageVersion('testthat'); packageVersion('e1071'); 
packageVersion('survival'); packageVersion('arrow')"
 
 Review comment:
   should we specify the arrow version to install? just wonder about 
compatibility issue


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[GitHub] [spark] dongjoon-hyun closed pull request #25996: [SPARK-29322][CORE] Enable closeFrameOnFlush on ZstdOutputStream for event log file

2019-10-02 Thread GitBox
dongjoon-hyun closed pull request #25996: [SPARK-29322][CORE] Enable 
closeFrameOnFlush on ZstdOutputStream for event log file
URL: https://github.com/apache/spark/pull/25996
 
 
   


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[GitHub] [spark] viirya edited a comment on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
viirya edited a comment on issue #25979: [SPARK-29295][SQL] Insert overwrite to 
Hive external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537771098
 
 
   Currently behavior of INSERT OVERWRITE into a Hive external table partition 
is consistent with Hive. If the partition was dropped by DROP PARTITION before, 
INSERT OVERWRITE will not overwrite existing partition directory.
   
   If there are files in the directory, conflicting files will be overwritten 
(Hive 2.1) or exception thrown (Hive 2.3.2). Unique files will be read as 
duplicated data.
   
   
   
   
   
   


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[GitHub] [spark] viirya commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
viirya commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive 
external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537771098
 
 
   Currently behavior of INSERT OVERWRITE into a Hive external table partition 
is consistent with Hive. If the partition was dropped by DROP PARTITION before, 
INSERT OVERWRITE will not overwrite existing partition directory.
   
   If there are files in the directory, conflicting files will be overwritten 
or exception thrown. Unique files will be read as duplicated data.
   
   
   
   
   
   


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[GitHub] [spark] cloud-fan commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to Hive external table partition should delete old data

2019-10-02 Thread GitBox
cloud-fan commented on issue #25979: [SPARK-29295][SQL] Insert overwrite to 
Hive external table partition should delete old data
URL: https://github.com/apache/spark/pull/25979#issuecomment-537769089
 
 
   Do you mean the current behavior is consistent with some Hive versions?


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[GitHub] [spark] maryannxue commented on a change in pull request #25600: [SPARK-11150][SQL] Dynamic Partition Pruning

2019-10-02 Thread GitBox
maryannxue commented on a change in pull request #25600: [SPARK-11150][SQL] 
Dynamic Partition Pruning
URL: https://github.com/apache/spark/pull/25600#discussion_r330851430
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/dynamicpruning/PlanDynamicPruningFilters.scala
 ##
 @@ -0,0 +1,91 @@
+/*
+ * 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.dynamicpruning
 
 Review comment:
   I'll submit a follow-up to move the package.


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[GitHub] [spark] cloud-fan commented on issue #25024: [SPARK-27296][SQL] User Defined Aggregators that do not ser/de on each input row

2019-10-02 Thread GitBox
cloud-fan commented on issue #25024: [SPARK-27296][SQL] User Defined 
Aggregators that do not ser/de on each input row
URL: https://github.com/apache/spark/pull/25024#issuecomment-537768473
 
 
   What I want to see is a single UDAF API that works for all the use cases, if 
it's possible. It's really confusing to end-users if there are a lof of UDAF 
APIs in Spark and they don't know which one to use.
   
   Since ser/de is inevitable (`InternalRow` <-> `Row`), it's always preferred 
to do the ser/de only on partition boundaries. AFAIK other requirements are:
   1. can operate on multiple columns
   2. can be deterministic or not
   3. can cast the input columns to desired types
   4. can be registered as SQL function
   5. can operate on Dataset
   6. ... (please add more if I missed something)
   
   I think `Aggregator[IN, BUF, OUT]` is good enough to specify what the 
aggregating logic is. What we need to add is:
   1. an API to specify the input columns
   2. an API to specify the determinism
   2. a mechanism to cast input columns
   3. an API to register Aggregator as SQL function
   
   My proposal is:
   1. add a new method in `UDFRegistration`
   ```
   def register[IN: TypeTag, BUF: TypeTag, OUT: TypeTag](
   name: String, func: Aggregator[IN, BUF, OUT]): UserDefinedFunction
   ```
   2. add a new implementation of `UserDefinedFunction`
   ```
   class AggregatorAsFunction[IN: TypeTag, BUF: TypeTag, OUT: TypeTag](
   aggregator: Aggregator[IN, BUF, OUT]) extends UserDefinedFunction {
 def apply(exprs: Column*): Column = {
   // create a special expression which is smilar to `ScalaUDAF`. It 
projects the input row
   // according to the given `exprs`, and convert the projected internal 
row to `IN` type object
   // via the encoder, and feed the `IN` type object to the `Aggregator`. 
The encoder can cast
   // the input columns to desired types, please see `ScalaReflection`.
 }
   
 // this simply sets the nondeterministic flag of `AggregatorAsFunction`, 
which will be passed to
 // the new expression metioned in `apply`
 def asNondeterministic ...
   }
   ```


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[GitHub] [spark] SparkQA commented on issue #26008: [MINOR][TESTS] Rename JsonBenchmark.scala to JSONBenchmark.scala to match class name

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[GitHub] [spark] dongjoon-hyun opened a new pull request #26008: [MINOR][TESTS] Rename JsonBenchmark.scala to JSONBenchmark.scala to match class name

2019-10-02 Thread GitBox
dongjoon-hyun opened a new pull request #26008: [MINOR][TESTS] Rename 
JsonBenchmark.scala to JSONBenchmark.scala to match class name
URL: https://github.com/apache/spark/pull/26008
 
 
   ### What changes were proposed in this pull request?
   
   This PR renames `JsonBenchmark.scala` to `JSONBenchmark.scala`.
   
   ### Why are the changes needed?
   
   Currently, the file name doesn't match with `object JSONBenchmark`.
   
   ### Does this PR introduce any user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   This is just renaming file. The existing object doesn't change at all.
   


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[GitHub] [spark] HyukjinKwon commented on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

2019-10-02 Thread GitBox
HyukjinKwon commented on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in 
vectoried dapply and gapply (test it in AppVeyor build)
URL: https://github.com/apache/spark/pull/25993#issuecomment-537764993
 
 
   cc @felixcheung and @viirya 


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[GitHub] [spark] AmplabJenkins commented on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

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[GitHub] [spark] SparkQA commented on issue #25993: [SPARK-29339][R] Support Arrow 0.14 in vectoried dapply and gapply (test it in AppVeyor build)

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[GitHub] [spark] HeartSaVioR commented on a change in pull request #25670: [SPARK-28869][CORE] Roll over event log files

2019-10-02 Thread GitBox
HeartSaVioR commented on a change in pull request #25670: [SPARK-28869][CORE] 
Roll over event log files
URL: https://github.com/apache/spark/pull/25670#discussion_r330847692
 
 

 ##
 File path: 
core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
 ##
 @@ -1165,12 +1161,15 @@ private[history] case class LogInfo(
 logType: LogType.Value,
 appId: Option[String],
 attemptId: Option[String],
-fileSize: Long)
+fileSize: Long,
+lastIndex: Option[Long],
 
 Review comment:
   I missed to check this. Will check and fix if it causes problem via adding 
UT which loads LevelDB from Spark 2.4.4 and read more applications.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25993: [DO-NOT-MERGE][R] Install Arrow and test Arrow optimization in AppVeyor build

2019-10-02 Thread GitBox
HyukjinKwon commented on a change in pull request #25993: [DO-NOT-MERGE][R] 
Install Arrow and test Arrow optimization in AppVeyor build
URL: https://github.com/apache/spark/pull/25993#discussion_r330847032
 
 

 ##
 File path: R/pkg/inst/worker/worker.R
 ##
 @@ -50,7 +50,7 @@ compute <- function(mode, partition, serializer, 
deserializer, key,
 } else {
   # Check to see if inputData is a valid data.frame
   stopifnot(deserializer == "byte" || deserializer == "arrow")
-  stopifnot(class(inputData) == "data.frame")
+  stopifnot(is.data.frame(inputData))
 
 Review comment:
   In Arrow 0.14, seems `as.data.frame(arrow_batch)` returns non-naive R 
DataFrame ("tbl_df tbl data.frame"). So, direct class comparison doesn't look 
working here.


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[GitHub] [spark] nvander1 commented on issue #26007: [SPARK-28962][SPARK-27297][SQL] Add overload for filter with index to functions object

2019-10-02 Thread GitBox
nvander1 commented on issue #26007: [SPARK-28962][SPARK-27297][SQL] Add 
overload for filter with index to functions object
URL: https://github.com/apache/spark/pull/26007#issuecomment-537762211
 
 
   Sure thing!


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[GitHub] [spark] SparkQA commented on issue #26006: [SPARK-29279][SQL] Merge SHOW NAMESPACES and SHOW DATABASES code path

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[GitHub] [spark] AmplabJenkins commented on issue #26001: [SPARK-29331][SQL] create DS v2 Write at physical plan

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[GitHub] [spark] SparkQA commented on issue #26001: [SPARK-29331][SQL] create DS v2 Write at physical plan

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URL: https://github.com/apache/spark/pull/26001#issuecomment-537755364
 
 
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[GitHub] [spark] HyukjinKwon commented on issue #24232: [SPARK-27297] [SQL] Add higher order functions to scala API

2019-10-02 Thread GitBox
HyukjinKwon commented on issue #24232: [SPARK-27297] [SQL] Add higher order 
functions to scala API
URL: https://github.com/apache/spark/pull/24232#issuecomment-537754335
 
 
   +1 !


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[GitHub] [spark] maropu commented on issue #26004: [SPARK-29142][PYTHON][ML][FOLLOWUP][DOC] Replace incorrect :py:attr: applications

2019-10-02 Thread GitBox
maropu commented on issue #26004: [SPARK-29142][PYTHON][ML][FOLLOWUP][DOC] 
Replace incorrect :py:attr: applications
URL: https://github.com/apache/spark/pull/26004#issuecomment-537748479
 
 
   cc: @HyukjinKwon @ueshin 


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[GitHub] [spark] SparkQA commented on issue #26005: [SPARK-29163] Simplify Hadoop Configuration access in DataSourcev2

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[GitHub] [spark] maropu commented on a change in pull request #25960: [SPARK-29283][SQL] Error message is hidden when query from JDBC, especially enabled adaptive execution

2019-10-02 Thread GitBox
maropu commented on a change in pull request #25960: [SPARK-29283][SQL] Error 
message is hidden when query from JDBC, especially enabled adaptive execution
URL: https://github.com/apache/spark/pull/25960#discussion_r330831160
 
 

 ##
 File path: 
sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/SparkGetCatalogsOperation.scala
 ##
 @@ -68,11 +69,18 @@ private[hive] class SparkGetCatalogsOperation(
   }
   setState(OperationState.FINISHED)
 } catch {
-  case e: HiveSQLException =>
+  case e: Throwable =>
 
 Review comment:
   If so, we should list up `InterruptedExpression` here, too? IIUC the reason 
why we mainly use `NonFatal` in this case is not to catch 
`NonLocalReturnControl`.  But, yea, this is not my area, so I think @wangyum 
could suggest more about this.


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[GitHub] [spark] cloud-fan commented on issue #25988: [SPARK-29313][SQL] Fix failure on writing to `noop` in benchmarks

2019-10-02 Thread GitBox
cloud-fan commented on issue #25988: [SPARK-29313][SQL] Fix failure on writing 
to `noop` in benchmarks
URL: https://github.com/apache/spark/pull/25988#issuecomment-537742759
 
 
   we only disable file source v2, but noop souce is not file source.


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[GitHub] [spark] YongjinZhou commented on issue #25976: [SPARK-25468][WEBUI] Current page index keep style with dataTable in the spark UI

2019-10-02 Thread GitBox
YongjinZhou commented on issue #25976: [SPARK-25468][WEBUI] Current page index 
keep style with dataTable in the spark UI
URL: https://github.com/apache/spark/pull/25976#issuecomment-537742435
 
 
   @srowen For match whth jquery.dataTables.1.10.18.min.css 。Selected page 
should be '.current',but result is '.active'.The reason is  the order of 
dataTables.bootstrap.min.js and  jquery.dataTables.1.10.18.min.css. IF we 
exchange the order,  well be other css probrom. So, keep stype in this way. 
thanks.
   
![image](https://user-images.githubusercontent.com/8166352/66091969-7faa7280-e5bc-11e9-9711-0612c887a337.png)
   


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[GitHub] [spark] imback82 commented on a change in pull request #26006: [SPARK-29279][SQL] Merge SHOW NAMESPACES and SHOW DATABASES code path

2019-10-02 Thread GitBox
imback82 commented on a change in pull request #26006: [SPARK-29279][SQL] Merge 
SHOW NAMESPACES and SHOW DATABASES code path
URL: https://github.com/apache/spark/pull/26006#discussion_r330829071
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceResolution.scala
 ##
 @@ -170,22 +170,11 @@ case class DataSourceResolution(
   DeleteFromTable(aliased, delete.condition)
 
 case ShowNamespacesStatement(None, pattern) =>
-  defaultCatalog match {
-case Some(catalog) =>
-  ShowNamespaces(catalog.asNamespaceCatalog, None, pattern)
-case None =>
-  throw new AnalysisException("No default v2 catalog is set.")
-  }
+  ShowNamespaces(currentCatalog.asNamespaceCatalog, None, pattern)
 
 Review comment:
   @cloud-fan I can wait for https://github.com/apache/spark/pull/25747 if you 
plan to do the current catalog changes in that PR.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26007: Add overload for filter with index to functions object

2019-10-02 Thread GitBox
AmplabJenkins removed a comment on issue #26007: Add overload for filter with 
index to functions object
URL: https://github.com/apache/spark/pull/26007#issuecomment-537741381
 
 
   Merged build finished. Test PASSed.


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