Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -381,8 +393,12 @@ object DateTimeUtils {
}
Github user tedyu commented on the pull request:
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Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/9615#issuecomment-157599795
Spark-core would depend on the org.spark-project.javax.ws.rs but I would
exclude it in my app specifically, as well as anyone who would use Jersey 2.
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9615#issuecomment-157599693
Your app is *one app*. This needs to work for *all apps*.
If spark-core doesn't depend on the artifact that has the javax classes,
*Spark won't work*.
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Github user mccheah commented on the pull request:
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No because my app would replace org.spark-project.javax.ws.rs with its own
javax.ws.rs (which is transitively pulled in by Jersey 2 anyways), and those
newer javax.ws.rs
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Github user vanzin commented on the pull request:
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But it (and spark-core) need to depend on that jar containing the javax
stuff...
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Github user vanzin commented on the pull request:
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But it also depends on spark-core, no? You said so above. And spark-core
would depend on the spark-specific jersey jar which in your list would have the
META-INF classes.
Github user mccheah commented on the pull request:
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No - spark-specific Jersey jar would not have javax.ws.rs classes. That
would be in org.spark-project.javax.ws.rs.
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GitHub user zjffdu opened a pull request:
https://github.com/apache/spark/pull/9791
[SPARK-11804][PYSPARK] Exception raise when using Jdbc predicates optâ¦
â¦ion in PySpark
You can merge this pull request into a Git repository by running:
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Github user vanzin commented on the pull request:
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Do you mean bugs in this code? Or in 1.6? If in this code, master will
eventually go through stabilization also, and at that point if there are bugs,
they'll surface. Whe
Github user mccheah commented on the pull request:
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My app would depend on Jersey 2 only which doesn't package the javax.ws.rs
in itself and doesn't have the META-INF/services/javax.ws.rs* stuff.
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Github user vanzin commented on the pull request:
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Steps 1 and 4 are both needed for your app, since you're embedding Spark.
Basically "org.spark-project.jersey" can't contain either javax.ws classes nor
the META-INF fil
GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/9790
[SPARK-11791] Fix flaky test in BatchedWriteAheadLogSuite
stack trace of failure:
```
org.scalatest.exceptions.TestFailedDueToTimeoutException: The code passed
to eventually never returned no
Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/9716#issuecomment-157598377
Fixed, sorry for the carelessness.
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ping @yhuai
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--- Diff:
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@@ -40,23 +40,26 @@ object SparkTransportConf {
/**
Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/9615#issuecomment-157598153
So to recap this approach holistically, both from the perspective of my
application and from what needs to change Spark side:
1. Create "org.spark-project.jersey
Github user vanzin commented on a diff in the pull request:
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--- Diff:
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@@ -40,23 +40,26 @@ object SparkTransportConf {
/**
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Github user rxin commented on the pull request:
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I'm mostly thinking it'd make it harder if we found bugs that need to fix.
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Github user vanzin commented on the pull request:
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Seems like the old jersey-core jar has the javax classes within it, instead
of depending on a separate artifact; so you'd need the new javax jar in front
of it in the cla
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Github user zsxwing commented on the pull request:
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retest this please
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What's the problem with merging to master? Isn't that why we have
branch-1.6?
I have changes built on top of this that I'm waiting to send for review.
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--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/Encoder.scala ---
@@ -37,7 +38,33 @@ trait Encoder[T] extends Serializable {
def clsTag: Cl
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Github user yhuai commented on the pull request:
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I am running the test. From what I have seen so far, it fixes the problem.
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Github user zsxwing commented on the pull request:
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@pankajarora12 could you test in 1.5.1 and see if there is any performance
regression?
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Github user tedyu commented on the pull request:
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```
ERROR: Timeout after 15 minutes
ERROR: Error fetching remote repo 'origin'
hudson.plugins.git.GitException: Failed to fetch from
https://github.com/apache/s
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9769#issuecomment-157589422
@shivaram, The R raw type is intended to hold raw bytes. while int vector
is to hold 32-bit integer values. The R raw type maps to Spark SQL binary type,
which is intern
Github user tedyu commented on the pull request:
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Jenkins, retest this please
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Github user cloud-fan commented on the pull request:
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LGTM
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Github user rxin commented on the pull request:
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LGTM too (assuming it fixes the tpcds problem)
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--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/Encoder.scala ---
@@ -37,7 +38,33 @@ trait Encoder[T] extends Serializable {
def clsTag: ClassTa
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--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/Encoder.scala ---
@@ -37,7 +38,33 @@ trait Encoder[T] extends Serializable {
def clsTag: Cl
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -529,7 +530,12 @@ class Dataset[T] private[sql](
* For Java API, use [[collect
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Github user tedyu commented on the pull request:
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DirectKafkaStreamSuite passed locally:
```
Run starting. Expected test count is: 6
DirectKafkaStreamSuite:
- basic stream receiving with multiple topics and
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retest this please.
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Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/TaskResultGetterSuite.scala ---
@@ -119,5 +123,66 @@ class TaskResultGetterSuite extends SparkFunS
Github user rxin commented on the pull request:
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I'm going to merge this and fix the comments in a separate pull request.
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@@ -119,5 +123,66 @@ class TaskResultGetterSuite extends SparkFunS
Github user rxin commented on the pull request:
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Alright I looked a bit closer at this. Since it is not mission critical and
it is touching some mission critical part, I think it's best to not to merge
this in 1.6.
Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -529,7 +530,12 @@ class Dataset[T] private[sql](
* For Java API, use [[co
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9785#issuecomment-157587670
ok, I see. I guess I picked the closer form
```
## S3 method for class 'data.frame'
subset(x, subset, select, drop = FALSE, ...)
```
I'll try/fix t
Github user zsxwing commented on the pull request:
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retest this please
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LGTM
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retest this please
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Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9788#discussion_r45154129
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashedRelation.scala
---
@@ -215,6 +217,14 @@ private[joins] final class UnsafeHash
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9769#issuecomment-157585916
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9769#issuecomment-157585922
Test FAILed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9769#issuecomment-157585897
**[Test build #46148 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/46148/consoleFull)**
for PR 9769 at commit
[`07a0f33`](https://git
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9788#discussion_r45154094
--- Diff: core/src/main/scala/org/apache/spark/util/SizeEstimator.scala ---
@@ -32,6 +32,16 @@ import org.apache.spark.annotation.DeveloperApi
import o
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9784#discussion_r45154095
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -73,6 +73,17 @@ class DatasetSuite extends QueryTest with
SharedSQLContext {
Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/9615#issuecomment-157585464
So I tried the following experiment to simulate what we want to be doing
and testing the hypothesis that it doesn't matter what order the Jersey jars
are loaded in. What
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9784#discussion_r45154097
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -73,6 +73,17 @@ class DatasetSuite extends QueryTest with
SharedSQLContext {
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9788#issuecomment-157584728
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Github user AmplabJenkins commented on the pull request:
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Github user tedyu commented on the pull request:
https://github.com/apache/spark/pull/9741#issuecomment-157585091
For both 46132 and 46136:
```
[info] StreamingListenerSuite:
[info] - batch info reporting (752 milliseconds)
[info] - receiver info reporting (369 milliseco
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