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Another question about this PR: does it support data source tables?
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Github user ueshin commented on the issue:
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@rxin I introduced features as follows:
1. `StaticInvoke` and `Invoke` had a risk to exceed 64kb JVM limit to
prepare arguments but after this patch they can handle them because they share
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/15902
[SPARK-18430][SQL][BACKPORT-2.0] Fixed Exception Messages when Hitting an
Invocation Exception of Function Lookup
### What changes were proposed in this pull request?
This PR is to backport
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15899#discussion_r88180989
--- Diff: core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala ---
@@ -70,6 +70,7 @@ class RDDSuite extends SparkFunSuite with
SharedSparkContext {
Github user rxin commented on the issue:
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So the refactoring for simplification adds more code than it deletes? Did
you introduce new features as well?
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Github user aray commented on the issue:
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@tejasapatil yes that is the use case where this applies. It's only tested
against whatever version is included in the hadoop2.7+hive build configuration
listed above. Is there anything in particular
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Github user tejasapatil commented on the issue:
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Feels like this will only help for `select count(*) from table` without any
projections and filters.
Which version of ORC have you tested against ? In past I have seen PRs
which do
Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/15898#discussion_r88174485
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/OrcQuerySuite.scala ---
@@ -577,4 +579,23 @@ class OrcQuerySuite extends QueryTest with
Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/15898#discussion_r88174566
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/OrcQuerySuite.scala ---
@@ -577,4 +579,23 @@ class OrcQuerySuite extends QueryTest with
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GitHub user ueshin opened a pull request:
https://github.com/apache/spark/pull/15901
[SPARK-18467][SQL] Refactor StaticInvoke, Invoke and NewInstance.
## What changes were proposed in this pull request?
Refactor `StaticInvoke`, `Invoke` and `NewInstance` as:
-
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15898#discussion_r88175031
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/OrcQuerySuite.scala ---
@@ -577,4 +579,23 @@ class OrcQuerySuite extends QueryTest with
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15868#discussion_r88175070
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
---
@@ -667,7 +667,14 @@ object JdbcUtils extends
Github user cloud-fan commented on the issue:
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LGTM
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
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@@ -1366,7 +1366,7 @@ class JsonSuite extends
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Github user gatorsmile commented on the issue:
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Could we have a test case for this new parameter?
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Github user cloud-fan commented on the issue:
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to be safe, how about we retargeting this ticket to 2.2?
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Github user cloud-fan commented on the issue:
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cc @yhuai @ericl @gatorsmile
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Github user gatorsmile commented on the issue:
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LGTM except one minor comment. Also CC @cloud-fan
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/15900
[SPARK-18464][SQL] support old table which doesn't store schema in metastore
## What changes were proposed in this pull request?
Before Spark 2.1, users can create an external data
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15868#discussion_r88174214
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -358,7 +358,8 @@ case class DataSource(
Github user WangTaoTheTonic commented on the issue:
https://github.com/apache/spark/pull/15803
@ajbozarth In browser side the timezone used to build Date from epoch time
is the one **at browser side**, not that one in **History Server side**. These
two are different in many cases. So
Github user aray commented on the issue:
https://github.com/apache/spark/pull/15898
The code that is being changed originated 2 years ago with the addition of
Hive 0.13 support by @zhzhan, see
Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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GitHub user reggert opened a pull request:
https://github.com/apache/spark/pull/15899
[SPARK-18466] added withFilter method to RDD
## What changes were proposed in this pull request?
A `withFilter` method has been added to `RDD` as an alias for the `filter`
method. When
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/15703#discussion_r88172060
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -365,4 +380,66 @@ private[hive] case class HiveUDAFFunction(
val
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/15703#discussion_r88171437
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -289,73 +302,75 @@ private[hive] case class HiveUDAFFunction(
Github user yhuai commented on a diff in the pull request:
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -289,73 +302,75 @@ private[hive] case class HiveUDAFFunction(
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/15703#discussion_r88171285
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -289,73 +302,75 @@ private[hive] case class HiveUDAFFunction(
Github user yhuai commented on a diff in the pull request:
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -289,73 +302,75 @@ private[hive] case class HiveUDAFFunction(
Github user HyukjinKwon commented on the issue:
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I was just watching the JIRA just for my curiosity. Actually, aren't we
able to add test for `SparkOrcNewRecordReader` like the one as below?
```scala
test("Empty schema does not
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/15703#discussion_r88170694
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -263,8 +265,19 @@ private[hive] case class HiveGenericUDTF(
}
Github user yhuai commented on a diff in the pull request:
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -263,8 +265,19 @@ private[hive] case class HiveGenericUDTF(
}
Github user Yunni commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/LSH.scala ---
@@ -179,16 +211,13 @@ private[ml] abstract class LSHModel[T <: LSHModel[T]]
Github user rxin commented on the issue:
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Can we add a unit test for this function?
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Github user yhuai commented on a diff in the pull request:
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -263,8 +265,19 @@ private[hive] case class HiveGenericUDTF(
}
Github user rxin commented on the issue:
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cc @piaozhexiu I think you changed this last?
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Rebased to resolve conflicts.
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Github user asfgit closed the pull request at:
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Github user gatorsmile commented on the issue:
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After fixed the styles, LGTM pending testing.
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GitHub user aray opened a pull request:
https://github.com/apache/spark/pull/15898
[SPARK-18457][SQL] ORC and other columnar formats using HiveShim read all
columns when doing a simple count
## What changes were proposed in this pull request?
When reading zero columns
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Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13909#discussion_r88165296
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
---
@@ -133,50 +153,79 @@ case class
Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13909#discussion_r88165267
--- Diff:
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---
@@ -133,50 +153,79 @@ case class
Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13909#discussion_r88165166
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
---
@@ -56,29 +56,49 @@ case class
Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/14079#discussion_r88165483
--- Diff:
yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnSchedulerBackend.scala
---
@@ -121,13 +121,20 @@ private[spark] abstract class
Github user viirya commented on the issue:
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retest this please.
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Github user viirya commented on the issue:
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LGTM
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Github user weiqingy commented on the issue:
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@tgravescs Thanks for the reply. I have updated the PR.
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Github user viirya commented on the issue:
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Looks like just an IO problem when archiving logs after successful tests.
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--- Diff:
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@@ -121,13 +121,20 @@ private[spark] abstract class
Github user cloud-fan commented on the issue:
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I added a `releasenotes` label to the ticket, so that we won't forget
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Github user rxin commented on the issue:
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Merging in master/branch-2.1.
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Github user vijoshi commented on the issue:
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Thanks @vanzin ! Closed the PR.
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Github user viirya commented on the issue:
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Except for the two comments regarding the test, I don't have other question
for now. cc @hvanhovell @cloud-fan for more checks.
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Github user vijoshi closed the pull request at:
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Github user yanboliang commented on the issue:
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@felixcheung Both ```paste``` and ```paste0``` should work well in this
scenario, since ```RFormula``` can handle space between each term. I think it
would be better to unify them, so I use
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/13909#discussion_r88163630
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -42,15 +42,55 @@ trait
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