[GitHub] [spark] AmplabJenkins commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] AmplabJenkins commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] SparkQA commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

2019-06-29 Thread GitBox
SparkQA commented on issue #24972: [SPARK-28167][SQL] Show global temporary 
view in database tool
URL: https://github.com/apache/spark/pull/24972#issuecomment-507006436
 
 
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[GitHub] [spark] mgaido91 commented on a change in pull request #25011: [SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation

2019-06-29 Thread GitBox
mgaido91 commented on a change in pull request #25011: 
[SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation
URL: https://github.com/apache/spark/pull/25011#discussion_r298818695
 
 

 ##
 File path: python/pyspark/ml/linalg/__init__.py
 ##
 @@ -386,14 +386,14 @@ def squared_distance(self, other):
 
 def toArray(self):
 """
-Returns an numpy.ndarray
+Returns the underlying numpy.ndarray
 
 Review comment:
   In case of `DenseVector` it means that there is a vector containing the 
values...and it think makes sense to report it to the users, in order that they 
know what happens if they modify it...


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[GitHub] [spark] AmplabJenkins commented on issue #25016: [SPARK-28200] Decimal overflow handling

2019-06-29 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25016: [SPARK-28200] Decimal overflow handling

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[GitHub] [spark] SparkQA commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

2019-06-29 Thread GitBox
SparkQA commented on issue #24972: [SPARK-28167][SQL] Show global temporary 
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URL: https://github.com/apache/spark/pull/24972#issuecomment-507007256
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] SparkQA removed a comment on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] AmplabJenkins commented on issue #24972: [SPARK-28167][SQL] Show global temporary view in database tool

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25016: [SPARK-28200] Decimal overflow handling

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[GitHub] [spark] AmplabJenkins commented on issue #25016: [SPARK-28200] Decimal overflow handling

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[GitHub] [spark] AmplabJenkins commented on issue #25016: [SPARK-28200] Decimal overflow handling

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[GitHub] [spark] SparkQA commented on issue #24964: [SPARK-28160][CORE] Fix a bug that callback function may hang when unchecked exception missed

2019-06-29 Thread GitBox
SparkQA commented on issue #24964: [SPARK-28160][CORE] Fix a bug that callback 
function may hang when unchecked exception missed
URL: https://github.com/apache/spark/pull/24964#issuecomment-507005118
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #24964: [SPARK-28160][CORE] Fix a bug that callback function may hang when unchecked exception missed

2019-06-29 Thread GitBox
SparkQA removed a comment on issue #24964: [SPARK-28160][CORE] Fix a bug that 
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[GitHub] [spark] mickjermsurawong-stripe opened a new pull request #25016: [SPARK-28200] Decimal overflow handling

2019-06-29 Thread GitBox
mickjermsurawong-stripe opened a new pull request #25016: [SPARK-28200] Decimal 
overflow handling
URL: https://github.com/apache/spark/pull/25016
 
 
   ## What changes were proposed in this pull request?
   
   - In [SPARK-23179](https://github.com/apache/spark/pull/20350), an option to 
throw exception on decimal overflow was introduced. The option was applied only 
to sql Decimal operation and `RowEncoder` but not `ExpressionEncoder`. 
   - The problem now is round-tripping overflowing java/scala 
BigDecimal/BigInteger currently return null results.
 - The serializer encode java/scala BigDecimal to to sql Decimal, which 
still has the underlying the former.
 - When writing out to UnsafeRow, `changePrecision` will be false and row 
has null value.
   
https://github.com/apache/spark/blob/24e1e41648de58d3437e008b187b84828830e238/sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/UnsafeRowWriter.java#L202-L206
   - This PR adds the option to throw when detecting overflowing 
BigDecimal/BigInteger. This gives a consistent behavior between decimal 
arithmetic on sql expression (DecimalPrecision), and getting decimal from 
dataframe (RowEncoder)
   
   
   
   
   
   ## How was this patch tested?
   
   (Please explain how this patch was tested. E.g. unit tests, integration 
tests, manual tests)
   (If this patch involves UI changes, please attach a screenshot; otherwise, 
remove this)
   
   Please review https://spark.apache.org/contributing.html before opening a 
pull request.
   


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[GitHub] [spark] SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal 
behavior on overflow
URL: https://github.com/apache/spark/pull/25010#issuecomment-506981375
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

2019-06-29 Thread GitBox
SparkQA removed a comment on issue #25014: [SPARK-28216][SQl][TEST] Move 
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[GitHub] [spark] SparkQA commented on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

2019-06-29 Thread GitBox
SparkQA commented on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize 
from StatisticsCollectionTestBase to SQLTestUtils
URL: https://github.com/apache/spark/pull/25014#issuecomment-506982422
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

2019-06-29 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

2019-06-29 Thread GitBox
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[GitHub] [spark] gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-506996085
 
 
   Thanks! Merged to master.


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[GitHub] [spark] LantaoJin commented on issue #24964: [SPARK-28160][CORE] Fix a bug that callback function may hang when unchecked exception missed

2019-06-29 Thread GitBox
LantaoJin commented on issue #24964: [SPARK-28160][CORE] Fix a bug that 
callback function may hang when unchecked exception missed
URL: https://github.com/apache/spark/pull/24964#issuecomment-506997893
 
 
   Gentle ping @srowen 


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[GitHub] [spark] SparkQA commented on issue #25013: [SPARK-28077][SQL][FOLLOW-UP] Add overlay and placing to TableIdentifierParserSuite

2019-06-29 Thread GitBox
SparkQA commented on issue #25013: [SPARK-28077][SQL][FOLLOW-UP] Add overlay 
and placing to TableIdentifierParserSuite
URL: https://github.com/apache/spark/pull/25013#issuecomment-506980834
 
 
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[GitHub] [spark] SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

2019-06-29 Thread GitBox
SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle 
partition number in adaptive execution
URL: https://github.com/apache/spark/pull/24978#issuecomment-506988026
 
 
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[GitHub] [spark] gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-506996039
 
 
   @WangGuangxin Could you submit a follow-up PR for updating the document? See 
the example 
https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#schema-merging
 


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[GitHub] [spark] vanzin commented on issue #24982: [SPARK-28181][CORE] Add a filter interface to KVStore to speed up the entities retrieve

2019-06-29 Thread GitBox
vanzin commented on issue #24982: [SPARK-28181][CORE] Add a filter interface to 
KVStore to speed up the entities retrieve
URL: https://github.com/apache/spark/pull/24982#issuecomment-506998016
 
 
   >  The target is getting all tasks with particular status from all tasks.
   
   Right. That means a view with the "status" index, configured with both 
"first" and 'last" to match the desired status. That will return all the tasks 
with the status you're looking for. And doesn't require deserializing anything 
to find the desired tasks.
   
   Unless I'm not understanding what exactly it is you're trying to find.


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[GitHub] [spark] SparkQA commented on issue #24964: [SPARK-28160][CORE] Fix a bug that callback function may hang when unchecked exception missed

2019-06-29 Thread GitBox
SparkQA commented on issue #24964: [SPARK-28160][CORE] Fix a bug that callback 
function may hang when unchecked exception missed
URL: https://github.com/apache/spark/pull/24964#issuecomment-506998921
 
 
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[GitHub] [spark] viirya commented on issue #25012: [SPARK-28215][SQL][R] as_tibble was removed from Arrow R API

2019-06-29 Thread GitBox
viirya commented on issue #25012: [SPARK-28215][SQL][R] as_tibble was removed 
from Arrow R API
URL: https://github.com/apache/spark/pull/25012#issuecomment-50779
 
 
   cc @HyukjinKwon 


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[GitHub] [spark] SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal 
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URL: https://github.com/apache/spark/pull/25010#issuecomment-506978686
 
 
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[GitHub] [spark] SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

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[GitHub] [spark] SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

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URL: https://github.com/apache/spark/pull/24978#issuecomment-506981759
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25015: [SPARK-28217][SQL] Allow a pluggable statistics plan visitor for a logical plan.

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[GitHub] [spark] SparkQA removed a comment on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

2019-06-29 Thread GitBox
SparkQA removed a comment on issue #24978: [SPARK-28177][SQL] Adjust post 
shuffle partition number in adaptive execution
URL: https://github.com/apache/spark/pull/24978#issuecomment-506981759
 
 
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[GitHub] [spark] SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

2019-06-29 Thread GitBox
SparkQA commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle 
partition number in adaptive execution
URL: https://github.com/apache/spark/pull/24978#issuecomment-506989182
 
 
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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] SparkQA removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
SparkQA removed a comment on issue #25010: [SPARK-28201][SQL] Revisit 
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URL: https://github.com/apache/spark/pull/25010#issuecomment-506981375
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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[GitHub] [spark] AmplabJenkins commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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[GitHub] [spark] SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
SparkQA commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal 
behavior on overflow
URL: https://github.com/apache/spark/pull/25010#issuecomment-506991499
 
 
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[GitHub] [spark] gatorsmile commented on a change in pull request #24972: [WIP][SPARK-28167][SQL] Show global temporary view in database tool

2019-06-29 Thread GitBox
gatorsmile commented on a change in pull request #24972: 
[WIP][SPARK-28167][SQL] Show global temporary view in database tool
URL: https://github.com/apache/spark/pull/24972#discussion_r298813556
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala
 ##
 @@ -775,32 +775,61 @@ class SessionCatalog(
* Note that, if the specified database is global temporary view database, 
we will list global
* temporary views.
*/
-  def listTables(db: String): Seq[TableIdentifier] = listTables(db, "*")
 
 Review comment:
   Yes. Definitely, we should not change the semantics of listTable API. 


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[GitHub] [spark] srowen commented on issue #24998: [SPARK-28202] [Core] [Test] Avoid noises of system props in SparkConfSuite

2019-06-29 Thread GitBox
srowen commented on issue #24998: [SPARK-28202] [Core] [Test] Avoid noises of 
system props in SparkConfSuite
URL: https://github.com/apache/spark/pull/24998#issuecomment-506999082
 
 
   This test doesn't fail in a normal test run -- why would you customize the 
test env? that seems like the problem?


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[GitHub] [spark] WangGuangxin commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
WangGuangxin commented on issue #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-507001494
 
 
   > Thanks for your work @WangGuangxin !
   > 
   > What is your JIRA account? We need to assign the assignee field to your 
JIRA account. https://issues.apache.org/jira/browse/SPARK-11412
   
   Thanks. My jira account is EdisonWang


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[GitHub] [spark] WangGuangxin commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
WangGuangxin commented on issue #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-507001560
 
 
   > @WangGuangxin Could you submit a follow-up PR for updating the document? 
See the example 
https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#schema-merging
   
   ok


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[GitHub] [spark] Tonix517 commented on issue #24994: [SPARK-28133] Adding inverse hyperbolic functions in SQL

2019-06-29 Thread GitBox
Tonix517 commented on issue #24994: [SPARK-28133] Adding inverse hyperbolic 
functions in SQL
URL: https://github.com/apache/spark/pull/24994#issuecomment-507002652
 
 
   Copied the link from the JIRA ticket:
   
https://www.postgresql.org/docs/12/functions-math.html#FUNCTIONS-MATH-HYP-TABLE
   
   Just tried Hive and these functions were not supported indeed.
   
   > These are very niche functions. Does any other DB support it?
   
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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[GitHub] [spark] SparkQA removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25013: [SPARK-28077][SQL][FOLLOW-UP] Add overlay and placing to TableIdentifierParserSuite

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25013: [SPARK-28077][SQL][FOLLOW-UP] Add overlay and placing to TableIdentifierParserSuite

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[GitHub] [spark] SparkQA removed a comment on issue #25013: [SPARK-28077][SQL][FOLLOW-UP] Add overlay and placing to TableIdentifierParserSuite

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[GitHub] [spark] AmplabJenkins commented on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25014: [SPARK-28216][SQl][TEST] Move getDataSize from StatisticsCollectionTestBase to SQLTestUtils

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[GitHub] [spark] AmplabJenkins commented on issue #25015: [SPARK-28217][SQL] Allow a custom statistics logical plan visitor to be plugged in.

2019-06-29 Thread GitBox
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[GitHub] [spark] imback82 opened a new pull request #25015: [SPARK-28217][SQL] Allow a custom statistics logical plan visitor to be plugged in.

2019-06-29 Thread GitBox
imback82 opened a new pull request #25015: [SPARK-28217][SQL] Allow a custom 
statistics logical plan visitor to be plugged in.
URL: https://github.com/apache/spark/pull/25015
 
 
   ## What changes were proposed in this pull request?
   Spark currently has two built-in statistics plan visitor: 
SizeInBytesOnlyStatsPlanVisitor and BasicStatsPlanVisitor. However, this is a 
bit limited since there is no way to plug in a custom plan visitor - from which 
a custom query optimizer can benefit from.
   
   This PR allowers the user to specify a custom stat plan visitor via a Spark 
conf to override the built-in one:
   
   ```Scala
   // First create your custom stat plan visitor.
   class MyStatsPlanVisitor extends LogicalPlanVisitor[Statistics] {
 // Implement LogicalPlanVisitor[Statistics] trait
   }
   
   // Set the visitor via Spark conf.
   spark.conf.set("spark.sql.catalyst.statsPlanVisitorClass", 
"MyStatsPlanVisitor")
   
   // Now, stat() on a LogicalPlan object will use MyStatsPlanVisitor as a stat 
plan visitor.
   ```
   
   ## How was this patch tested?
   Existing and new unit tests.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24978: [SPARK-28177][SQL] Adjust post shuffle partition number in adaptive execution

2019-06-29 Thread GitBox
AmplabJenkins removed a comment on issue #24978: [SPARK-28177][SQL] Adjust post 
shuffle partition number in adaptive execution
URL: https://github.com/apache/spark/pull/24978#issuecomment-506989224
 
 
   Test FAILed.
   Refer to this link for build results (access rights to CI server needed): 
   https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/107045/
   Test FAILed.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit 
MakeDecimal behavior on overflow
URL: https://github.com/apache/spark/pull/25010#issuecomment-506991600
 
 
   Merged build finished. Test PASSed.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit MakeDecimal behavior on overflow

2019-06-29 Thread GitBox
AmplabJenkins removed a comment on issue #25010: [SPARK-28201][SQL] Revisit 
MakeDecimal behavior on overflow
URL: https://github.com/apache/spark/pull/25010#issuecomment-506991602
 
 
   Test PASSed.
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[GitHub] [spark] Tonix517 commented on a change in pull request #24994: [SPARK-28133] Adding inverse hyperbolic functions in SQL

2019-06-29 Thread GitBox
Tonix517 commented on a change in pull request #24994: [SPARK-28133] Adding 
inverse hyperbolic functions in SQL
URL: https://github.com/apache/spark/pull/24994#discussion_r298813645
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/mathExpressions.scala
 ##
 @@ -557,6 +578,27 @@ case class Sin(child: Expression) extends 
UnaryMathExpression(math.sin, "SIN")
   """)
 case class Sinh(child: Expression) extends UnaryMathExpression(math.sinh, 
"SINH")
 
+@ExpressionDescription(
+  usage = """
+_FUNC_(expr) - Returns inverse hyperbolic sine of `expr`.
+  """,
+  arguments = """
+Arguments:
+  * expr - hyperbolic angle
+  """,
+  examples = """
+Examples:
+  > SELECT _FUNC_(0);
+   0.0
+  """)
+case class Asinh(child: Expression)
+  extends UnaryMathExpression((x: Double) => math.log(x + math.sqrt(x * x + 
1.0)), "ASINH") {
+  override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
+defineCodeGen(ctx, ev, c =>
+  s"${ev.value} = java.lang.Math.log($c + java.lang.Math.sqrt($c * $c + 
1.0));")
 
 Review comment:
   took a closer look at asinh\atanh implementation in FastMath. the negative 
handling inside is to apply calculation optimization on abs(double a) and then 
apply proper sign at the end of the function to return, which should produce 
the same value as the original formula i'm using here 
(https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms).
 But FastMath runs faster than the original functions though.


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[GitHub] [spark] gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile commented on issue #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-506996308
 
 
   Thanks for your work @WangGuangxin !
   
   What is your JIRA account? We need to assign the author to your JIRA account.


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[GitHub] [spark] gatorsmile edited a comment on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile edited a comment on issue #24043: [SPARK-11412][SQL] Support merge 
schema for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-506996308
 
 
   Thanks for your work @WangGuangxin !
   
   What is your JIRA account? We need to assign the assignee field to your JIRA 
account.


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[GitHub] [spark] gatorsmile edited a comment on issue #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile edited a comment on issue #24043: [SPARK-11412][SQL] Support merge 
schema for ORC
URL: https://github.com/apache/spark/pull/24043#issuecomment-506996308
 
 
   Thanks for your work @WangGuangxin !
   
   What is your JIRA account? We need to assign the assignee field to your JIRA 
account. https://issues.apache.org/jira/browse/SPARK-11412


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[GitHub] [spark] gatorsmile closed pull request #24043: [SPARK-11412][SQL] Support merge schema for ORC

2019-06-29 Thread GitBox
gatorsmile closed pull request #24043: [SPARK-11412][SQL] Support merge schema 
for ORC
URL: https://github.com/apache/spark/pull/24043
 
 
   


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[GitHub] [spark] srowen commented on a change in pull request #25011: [SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation

2019-06-29 Thread GitBox
srowen commented on a change in pull request #25011: [SPARK-28170][ML][PYTHON] 
Uniform Vectors and Matrix documentation
URL: https://github.com/apache/spark/pull/25011#discussion_r298815289
 
 

 ##
 File path: python/pyspark/ml/linalg/__init__.py
 ##
 @@ -386,14 +386,14 @@ def squared_distance(self, other):
 
 def toArray(self):
 """
-Returns an numpy.ndarray
+Returns the underlying numpy.ndarray
 
 Review comment:
   I think this is OK, but just wondering how much to promise that it's the 
underlying array


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[GitHub] [spark] AmplabJenkins removed a comment on issue #24964: [SPARK-28160][CORE] Fix a bug that callback function may hang when unchecked exception missed

2019-06-29 Thread GitBox
AmplabJenkins removed a comment on issue #24964: [SPARK-28160][CORE] Fix a bug 
that callback function may hang when unchecked exception missed
URL: https://github.com/apache/spark/pull/24964#issuecomment-505377517
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] srowen commented on issue #24996: [SPARK-28199][SS] Remove usage of deprecated ProcessingTime in Spark codebase

2019-06-29 Thread GitBox
srowen commented on issue #24996: [SPARK-28199][SS] Remove usage of deprecated 
ProcessingTime in Spark codebase
URL: https://github.com/apache/spark/pull/24996#issuecomment-506999280
 
 
   Why introduce a new abstraction? This is what `Trigger.ProcessingTime` is 
meant to be. Just move the implementation to that class, and have the 
deprecated impl use it, rather than the other way around?


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[GitHub] [spark] srowen commented on a change in pull request #24992: [SPARK-28194][SQL] Refactor code to prevent None.get in EnsureRequirements

2019-06-29 Thread GitBox
srowen commented on a change in pull request #24992: [SPARK-28194][SQL] 
Refactor code to prevent None.get in EnsureRequirements
URL: https://github.com/apache/spark/pull/24992#discussion_r298815400
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
 ##
 @@ -231,14 +231,15 @@ case class EnsureRequirements(conf: SQLConf) extends 
Rule[SparkPlan] {
 val keysAndIndexes = currentOrderOfKeys.zipWithIndex
 
 expectedOrderOfKeys.foreach(expression => {
-  val index = keysAndIndexes.find { case (e, idx) =>
+  keysAndIndexes.find { case (e, idx) =>
 // As we may have the same key used many times, we need to filter out 
its occurrence we
 // have already used.
 e.semanticEquals(expression) && !pickedIndexes.contains(idx)
-  }.map(_._2).get
-  pickedIndexes += index
-  leftKeysBuffer.append(leftKeys(index))
-  rightKeysBuffer.append(rightKeys(index))
+  }.map(_._2).map(index => {
 
 Review comment:
   This has to be `foreach`, not `map`, and can be `.foreach { index =>`
   However I wonder if there's some other bug if the code really doesn't expect 
to not find a value?


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[GitHub] [spark] gatorsmile closed pull request #24985: [SPARK-28184][SQL][TEST] Avoid creating new sessions in SparkMetadataOperationSuite

2019-06-29 Thread GitBox
gatorsmile closed pull request #24985: [SPARK-28184][SQL][TEST] Avoid creating 
new sessions in SparkMetadataOperationSuite
URL: https://github.com/apache/spark/pull/24985
 
 
   


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[GitHub] [spark] srowen commented on issue #24991: SPARK-28188 Materialize Dataframe API

2019-06-29 Thread GitBox
srowen commented on issue #24991: SPARK-28188 Materialize Dataframe API
URL: https://github.com/apache/spark/pull/24991#issuecomment-506999407
 
 
   I don't think we should add this. It's already very common to `.count()` or 
`.mapPartitions` with a no-op to do this. I do think there are use cases for 
proactively materializing, but, it's overused too.


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[GitHub] [spark] gatorsmile closed pull request #24995: [SPARK-28196][SQL] Add a new `listTables` and `listLocalTempViews` APIs for SessionCatalog

2019-06-29 Thread GitBox
gatorsmile closed pull request #24995: [SPARK-28196][SQL] Add a new 
`listTables` and `listLocalTempViews` APIs for SessionCatalog
URL: https://github.com/apache/spark/pull/24995
 
 
   


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