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liyunzhang commented on SPARK-22660:
not support JDK9 now , i am working on it.
> Use position() and
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liyunzhang edited comment on SPARK-22660 at 11/30/17 7:39 AM:
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some new
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Liang-Chi Hsieh commented on SPARK-22660:
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For the error you ping me, from the error message,
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liyunzhang commented on SPARK-22660:
[~viirya]: the error mentioned above does not exist any more
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liyunzhang commented on SPARK-22660:
some new error
{code}
error]
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liyunzhang commented on SPARK-22660:
Besides above error, there are another errors with scala-2.12
liyunzhang created SPARK-22660:
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Summary: Use position() and limit() to fix ambiguity issue in
scala-2.12 and JDK9
Key: SPARK-22660
URL: https://issues.apache.org/jira/browse/SPARK-22660
Project: Spark
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Apache Spark reassigned SPARK-22659:
Assignee: (was: Apache Spark)
> remove sun.misc.Cleaner references
>
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Apache Spark commented on SPARK-22659:
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User 'kellyzly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22659:
Assignee: Apache Spark
> remove sun.misc.Cleaner references
>
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liyunzhang commented on SPARK-22659:
I am very confused about why this issue exists with java.version
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liyunzhang commented on SPARK-22659:
So when you compile with -Pscala-2.12 and jdk8, there is no
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Sean Owen commented on SPARK-22659:
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This isn't related to Scala 2.12 now. JDK 9 isn't supported, and
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liyunzhang updated SPARK-22659:
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Description:
build with scala-2.12 with following steps
1. change the pom.xml with scala-2.12
{code}
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liyunzhang updated SPARK-22659:
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Summary: remove sun.misc.Cleaner references (was: Use
{{scala.binary.version}} in the artifactId in
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liyunzhang edited comment on SPARK-22659 at 11/30/17 2:31 AM:
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I saw the
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liyunzhang commented on SPARK-22659:
where is the script?
> Use {{scala.binary.version}} in the
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Sean Owen commented on SPARK-22659:
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You can't put vars in the artifact names in Maven.
Believe me if
liyunzhang created SPARK-22659:
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Summary: Use {{scala.binary.version}} in the artifactId in the
pom.xml of common/tags and streaming
Key: SPARK-22659
URL: https://issues.apache.org/jira/browse/SPARK-22659
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Hyukjin Kwon commented on SPARK-22630:
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+1 for ^.
> Consolidate all configuration properties into
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Hyukjin Kwon commented on SPARK-22656:
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Hi [~zsxwing], seems a duplicate of SPARK-22324.
> Upgrade
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Hyukjin Kwon reassigned SPARK-22585:
Assignee: Jakub Dubovsky
> Url encoding of jar path expected?
>
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Hyukjin Kwon resolved SPARK-22585.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19834
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Leigh Klotz commented on SPARK-22373:
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[~mshen] Thank you. I've hand-upgraded janino and
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Sean Owen commented on SPARK-22657:
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I wouldn't have expected that to work. The user app classloader
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Wenchen Fan resolved SPARK-22608.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19821
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Wenchen Fan reassigned SPARK-22608:
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Assignee: Kazuaki Ishizaki
> Avoid code duplication regarding
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Sean Owen commented on SPARK-22658:
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I don't see a strong reason this needs to be part of Spark. It
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Andy Feng updated SPARK-22658:
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Attachment: SPIP_ TensorFlowOnSpark.pdf
> SPIP: TeansorFlowOnSpark as a Scalable Deep Learning Lib of
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Andy Feng updated SPARK-22658:
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Description:
TensorFlowOnSpark (TFoS) was released at github for distributed TensorFlow
training and
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Andy Feng updated SPARK-22658:
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Description:
SPIP: TeansorFlowOnSpark as a Scalable Deep Learning Lib of Apache Spark
Authors: Lee
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Andy Feng updated SPARK-22658:
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Description:
In Feburary 2017, TensorFlowOnSpark (TFoS) was released for distributed
TensorFlow
Andy Feng created SPARK-22658:
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Summary: SPIP: TeansorFlowOnSpark as a Scalable Deep Learning Lib
of Apache Spark
Key: SPARK-22658
URL: https://issues.apache.org/jira/browse/SPARK-22658
Project: Spark
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
./bin/spark-submit --master
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Yinan Li commented on SPARK-22646:
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The "Component/s" field should be updated.
> Spark on Kubernetes -
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Stavros Kontopoulos updated SPARK-22657:
Description:
To reproduce this issue run:
```
./bin/spark-submit --master
Stavros Kontopoulos created SPARK-22657:
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Summary: Hadoop fs implementation classes are not loaded if they
are part of the app jar or other jar when --packages flag is used
Key: SPARK-22657
URL:
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Yinan Li commented on SPARK-22647:
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Note: Some reference Dockerfiles are included in
Shixiong Zhu created SPARK-22656:
Summary: Upgrade Arrow to 0.8.0
Key: SPARK-22656
URL: https://issues.apache.org/jira/browse/SPARK-22656
Project: Spark
Issue Type: Bug
Components:
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Marcelo Vanzin resolved SPARK-20650.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19750
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Marcelo Vanzin resolved SPARK-18935.
Resolution: Fixed
Assignee: Stavros Kontopoulos
Fix Version/s: 2.3.0
> Use
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Apache Spark commented on SPARK-22655:
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User 'icexelloss' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22655:
Assignee: Apache Spark
> Fail task instead of complete task silently in PythonRunner
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Apache Spark reassigned SPARK-22655:
Assignee: (was: Apache Spark)
> Fail task instead of complete task silently in
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Li Jin commented on SPARK-22655:
PR: https://github.com/apache/spark/pull/19852
> Fail task instead of
Li Jin created SPARK-22655:
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Summary: Fail task instead of complete task silently in
PythonRunner during shutdown
Key: SPARK-22655
URL: https://issues.apache.org/jira/browse/SPARK-22655
Project: Spark
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Apache Spark commented on SPARK-22654:
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User 'srowen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22654:
Assignee: Apache Spark (was: Sean Owen)
> Retry download of Spark from ASF mirror in
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Apache Spark reassigned SPARK-22654:
Assignee: Sean Owen (was: Apache Spark)
> Retry download of Spark from ASF mirror in
Sean Owen created SPARK-22654:
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Summary: Retry download of Spark from ASF mirror in
HiveExternalCatalogVersionsSuite
Key: SPARK-22654
URL: https://issues.apache.org/jira/browse/SPARK-22654
Project: Spark
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Apache Spark commented on SPARK-22653:
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User 'tgravescs' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22653:
Assignee: Apache Spark
> executorAddress registered in
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Apache Spark reassigned SPARK-22653:
Assignee: (was: Apache Spark)
> executorAddress registered in
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Apache Spark commented on SPARK-22653:
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User 'tgravescs' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nan Zhu updated SPARK-22599:
Description:
In the current implementation of Spark, InMemoryTableExec read all data in a
cached table,
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Apache Spark commented on SPARK-22162:
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User 'rezasafi' has created a pull request for this issue:
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Xiao Li resolved SPARK-22615.
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Resolution: Fixed
Assignee: Gengliang Wang
Fix Version/s: 2.3.0
> Handle more cases in
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Apache Spark commented on SPARK-22641:
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User 'sethah' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22641:
Assignee: Apache Spark
> Pyspark UDF relying on column added with withColumn after
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Apache Spark reassigned SPARK-22641:
Assignee: (was: Apache Spark)
> Pyspark UDF relying on column added with withColumn
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Sean Owen commented on SPARK-22625:
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I don't have any additional info for you. You can propose a PR.
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Tolstopyatov Vsevolod commented on SPARK-22625:
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Ping [~srowen]
> Properly cleanup
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Sean Owen resolved SPARK-22622.
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Resolution: Duplicate
It looks like, nevertheless, something huge is in your closure. It's probably
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Sergio Lob commented on SPARK-22636:
OK
> row count not being set correctly (always 0) after
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Sean Owen commented on SPARK-22634:
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Right, I see core depends on jets3t, so it's not just provided by
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Apache Spark reassigned SPARK-22646:
Assignee: (was: Apache Spark)
> Spark on Kubernetes - basic submission client
>
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Apache Spark commented on SPARK-22646:
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User 'liyinan926' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22646:
Assignee: Apache Spark
> Spark on Kubernetes - basic submission client
>
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Andrew Duffy updated SPARK-22641:
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Description:
We seem to have found an issue with PySpark UDFs interacting with
{{withColumn}}
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Thomas Graves commented on SPARK-22653:
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will have patch up shortly
> executorAddress registered
Thomas Graves created SPARK-22653:
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Summary: executorAddress registered in
CoarseGrainedSchedulerBackend.executorDataMap is null
Key: SPARK-22653
URL: https://issues.apache.org/jira/browse/SPARK-22653
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Apache Spark reassigned SPARK-22652:
Assignee: Wenchen Fan (was: Apache Spark)
> remove set methods in ColumnarRow
>
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Apache Spark commented on SPARK-22652:
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User 'cloud-fan' has created a pull request for this issue:
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Sean Owen commented on SPARK-22636:
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Yes that's my understanding. We can wait a beat here to see if
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Apache Spark reassigned SPARK-22652:
Assignee: Apache Spark (was: Wenchen Fan)
> remove set methods in ColumnarRow
>
Wenchen Fan created SPARK-22652:
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Summary: remove set methods in ColumnarRow
Key: SPARK-22652
URL: https://issues.apache.org/jira/browse/SPARK-22652
Project: Spark
Issue Type: Sub-task
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Andrew Duffy updated SPARK-22641:
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Description:
We seem to have found an issue with PySpark UDFs interacting with
{{withColumn}}
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Sergio Lob commented on SPARK-22636:
Since we are using the Hive JDBC driver to access Spark, I guess
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Mark Petruska commented on SPARK-22393:
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[~srowen], [~rdub], I can now confirm that the original
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Apache Spark reassigned SPARK-22393:
Assignee: Apache Spark
> spark-shell can't find imported types in class constructors,
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https://issues.apache.org/jira/browse/SPARK-22393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270903#comment-16270903
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Apache Spark commented on SPARK-22393:
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User 'mpetruska' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-22393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22393:
Assignee: (was: Apache Spark)
> spark-shell can't find imported types in class
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https://issues.apache.org/jira/browse/SPARK-22393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270897#comment-16270897
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Sean Owen commented on SPARK-22393:
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OK, so this is basically "fixed for Scala 2.12 only"?
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https://issues.apache.org/jira/browse/SPARK-22636?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270895#comment-16270895
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Sean Owen commented on SPARK-22636:
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No. I'm saying the ticket you linked to does not sound like a bug
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https://issues.apache.org/jira/browse/SPARK-22636?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270865#comment-16270865
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Sergio Lob commented on SPARK-22636:
Are you implying that its not "fixable" in neither Hive nor
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https://issues.apache.org/jira/browse/SPARK-22633?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270753#comment-16270753
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Hyukjin Kwon commented on SPARK-22633:
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{{spark-submit2.cmd}} is only there for the purpose of
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https://issues.apache.org/jira/browse/SPARK-22651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22651:
Assignee: Apache Spark
> Calling ImageSchema.readImages initiate multiple Hive clients
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https://issues.apache.org/jira/browse/SPARK-22650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-22650.
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Resolution: Invalid
Questions to the mailing list please
> spark2.2 on yarn streaming can't
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https://issues.apache.org/jira/browse/SPARK-22651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22651:
Assignee: (was: Apache Spark)
> Calling ImageSchema.readImages initiate multiple Hive
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https://issues.apache.org/jira/browse/SPARK-22651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16270721#comment-16270721
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Apache Spark commented on SPARK-22651:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-22651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-22651:
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Component/s: ML
> Calling ImageSchema.readImages initiate multiple Hive clients
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https://issues.apache.org/jira/browse/SPARK-22642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-22642:
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Priority: Minor (was: Critical)
This is hardly critical
> the createdTempDir will not be deleted if
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