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Apache Spark reassigned SPARK-18475:
Assignee: (was: Apache Spark)
> Be able to provide higher parallelization for
Shuai Lin created SPARK-18652:
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Summary: Include the example data with the pyspark package
Key: SPARK-18652
URL: https://issues.apache.org/jira/browse/SPARK-18652
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-18652:
Assignee: Apache Spark
> Include the example data with the pyspark package
>
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Shivaram Venkataraman commented on SPARK-17608:
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[~iamthomaspowell] would you be able to
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Nicholas Chammas updated SPARK-16589:
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Labels: correctness (was: )
> Chained cartesian produces incorrect number of records
>
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Apache Spark reassigned SPARK-18652:
Assignee: (was: Apache Spark)
> Include the example data with the pyspark package
>
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Apache Spark commented on SPARK-18652:
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User 'lins05' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18475:
Assignee: Apache Spark
> Be able to provide higher parallelization for
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Jose Soltren commented on SPARK-16554:
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This is a nice idea but I'm not sure how feasible it is.
If
koert kuipers created SPARK-18651:
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Summary: KeyValueGroupedDataset[K, V].reduceGroups cannot handle
primitive for V
Key: SPARK-18651
URL: https://issues.apache.org/jira/browse/SPARK-18651
Project:
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Shuai Lin updated SPARK-18652:
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Summary: Include the example data and third-party licenses in pyspark
package (was: Include the
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koert kuipers reopened SPARK-18651:
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> KeyValueGroupedDataset[K, V].reduceGroups cannot handle primitive for V
>
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Apache Spark reassigned SPARK-18653:
Assignee: Apache Spark
> Dataset.show() generates incorrect padding for Unicode Character
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Apache Spark reassigned SPARK-18653:
Assignee: (was: Apache Spark)
> Dataset.show() generates incorrect padding for
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Apache Spark commented on SPARK-18653:
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User 'kiszk' has created a pull request for this issue:
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Josh Rosen updated SPARK-18362:
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Description: Spark's CSVFileFormat data source uses inefficient methods for
reading files during
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Marcelo Vanzin commented on SPARK-18644:
I wonder if this is just a python issue. python has a
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Josh Rosen updated SPARK-18362:
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Summary: Use TextFileFormat in implementation of CSVFileFormat (was: Use
TextFileFormat in
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Reynold Xin resolved SPARK-18220.
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Resolution: Fixed
Fix Version/s: 2.1.0
> ClassCastException occurs when using select
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Dongjoon Hyun closed SPARK-18515.
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Resolution: Duplicate
This bug was introduced by the first commit of SPARK-17732, but now it's
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Sharad updated SPARK-13061:
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Comment: was deleted
(was: As Devraj mentioned the correct URL to access job details is of the form
-
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Apache Spark commented on SPARK-18654:
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User 'NathanHowell' has created a pull request for this
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Apache Spark reassigned SPARK-18654:
Assignee: Apache Spark
> JacksonParser.makeRootConverter has effectively unreachable code
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Shixiong Zhu updated SPARK-18655:
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Fix Version/s: 2.1.0
> Ignore Structured Streaming 2.0.2 logs in history server
>
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Shixiong Zhu updated SPARK-18655:
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Priority: Blocker (was: Major)
> Ignore Structured Streaming 2.0.2 logs in history server
>
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Shuai Lin updated SPARK-18652:
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Description:
Since we already include the python examples in the pyspark package, we should
include
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Sharad commented on SPARK-13061:
As Devraj mentioned the correct URL to access job details is of the form
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Sharad commented on SPARK-13061:
As Devraj mentioned the correct URL to access job details is of the form
Shixiong Zhu created SPARK-18655:
Summary: Ignore Structured Streaming 2.0.2 logs in history server
Key: SPARK-18655
URL: https://issues.apache.org/jira/browse/SPARK-18655
Project: Spark
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Ruiming Zhou updated SPARK-16551:
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Comment: was deleted
(was: I can look at this issue.)
> Accumulator Examples should demonstrate
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Ruiming Zhou updated SPARK-16205:
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Comment: was deleted
(was: I would like to take this if it is still available)
> dict ->
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Dongjoon Hyun commented on SPARK-18515:
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Hi, [~hvanhovell].
I closed this issue since this is not
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Heji Kim commented on SPARK-18506:
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Hi Cody.
I have tried roughly a similar configuration on GCP with
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Apache Spark reassigned SPARK-18654:
Assignee: (was: Apache Spark)
> JacksonParser.makeRootConverter has effectively
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koert kuipers resolved SPARK-18651.
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Resolution: Not A Bug
Fixed in master, still issue in branch-2.0
>
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Apache Spark reassigned SPARK-18097:
Assignee: (was: Apache Spark)
> Can't drop a table from Hive if the schema is corrupt
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koert kuipers edited comment on SPARK-18651 at 11/30/16 6:38 PM:
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Fixed
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Apache Spark reassigned SPARK-18097:
Assignee: Apache Spark
> Can't drop a table from Hive if the schema is corrupt
>
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Apache Spark commented on SPARK-18097:
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User 'jayadevanmurali' has created a pull request for this
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Apache Spark commented on SPARK-18655:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18655:
Assignee: Shixiong Zhu (was: Apache Spark)
> Ignore Structured Streaming 2.0.2 logs in
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Apache Spark reassigned SPARK-18655:
Assignee: Apache Spark (was: Shixiong Zhu)
> Ignore Structured Streaming 2.0.2 logs in
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https://issues.apache.org/jira/browse/SPARK-18651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15709349#comment-15709349
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koert kuipers commented on SPARK-18651:
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i cannot reproduce the error in master. it seems to work
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Heji Kim reopened SPARK-18506:
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My team has asked me to reopen this issue to see if there can be any more
progress. We have implemented a
Nathan Howell created SPARK-18654:
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Summary: JacksonParser.makeRootConverter has effectively
unreachable code
Key: SPARK-18654
URL: https://issues.apache.org/jira/browse/SPARK-18654
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15709551#comment-15709551
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Reynold Xin commented on SPARK-18536:
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We need to add a PreWriteCheck for Parquet.
> Failed to save
Kazuaki Ishizaki created SPARK-18653:
Summary: Dataset.show() generates incorrect padding for Unicode
Character
Key: SPARK-18653
URL: https://issues.apache.org/jira/browse/SPARK-18653
Project:
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https://issues.apache.org/jira/browse/SPARK-16280?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15709318#comment-15709318
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Andy Dang commented on SPARK-16280:
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What's the status of this issue?
> Implement histogram_numeric
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koert kuipers edited comment on SPARK-18651 at 11/30/16 6:39 PM:
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i
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Reynold Xin updated SPARK-18536:
Description:
{code}import scala.collection.mutable.Queue
import org.apache.spark.SparkConf
import
Sina Sohangir created SPARK-18656:
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Summary:
org.apache.spark.sql.execution.stat.StatFunctions#multipleApproxQuantiles
requires too much memory in case of many columns
Key: SPARK-18656
URL:
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Michael Armbrust updated SPARK-18655:
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Target Version/s: 2.1.0
> Ignore Structured Streaming 2.0.2 logs in history server
>
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Michael Armbrust updated SPARK-18655:
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Fix Version/s: (was: 2.1.0)
> Ignore Structured Streaming 2.0.2 logs in history
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Michael Armbrust resolved SPARK-16545.
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Resolution: Later
> Structured Streaming : foreachSink creates the Physical Plan
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Joseph K. Bradley updated SPARK-18274:
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Target Version/s: 2.0.3, 2.1.1, 2.2.0 (was: 2.0.3, 2.1.0)
> Memory leak in PySpark
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Joseph K. Bradley resolved SPARK-18318.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue
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Apache Spark reassigned SPARK-18659:
Assignee: Apache Spark
> Incorrect behaviors in overwrite table for datasource tables
>
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Marcelo Vanzin commented on SPARK-18085:
I uploaded code for milestone 3 from the document:
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Michael Armbrust updated SPARK-18588:
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Target Version/s: 2.1.0
> KafkaSourceStressForDontFailOnDataLossSuite is flaky
>
Nathan Howell created SPARK-18658:
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Summary: Writing to a text DataSource buffers one or more lines in
memory
Key: SPARK-18658
URL: https://issues.apache.org/jira/browse/SPARK-18658
Project: Spark
Eric Liang created SPARK-18659:
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Summary: Crash in overwrite table partitions due to hive metastore
integration
Key: SPARK-18659
URL: https://issues.apache.org/jira/browse/SPARK-18659
Project: Spark
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Cheng Lian resolved SPARK-18251.
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15979
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Cheng Lian updated SPARK-18251:
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Assignee: Wenchen Fan
> DataSet API | RuntimeException: Null value appeared in non-nullable field
>
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Eric Liang updated SPARK-18659:
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Description:
The first three test cases fail due to a crash in hive client when dropping
partitions
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Apache Spark reassigned SPARK-18659:
Assignee: (was: Apache Spark)
> Incorrect behaviors in overwrite table for datasource
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Apache Spark commented on SPARK-18659:
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User 'ericl' has created a pull request for this issue:
Michael Armbrust created SPARK-18657:
Summary: Persist UUID across query restart
Key: SPARK-18657
URL: https://issues.apache.org/jira/browse/SPARK-18657
Project: Spark
Issue Type: Bug
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Shixiong Zhu updated SPARK-18563:
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Component/s: (was: Structured Streaming)
DStreams
> mapWithState:
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Joseph K. Bradley commented on SPARK-18318:
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I did a quick check too and did not see anything
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Cheng Lian commented on SPARK-18251:
One more comment about why we shouldn't allow a {{Option\[T <:
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Sina Sohangir updated SPARK-18656:
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Comment: was deleted
(was: Created a PR:
https://github.com/apache/spark/pull/16087
)
>
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Eric Liang updated SPARK-18659:
---
Description:
The following test cases fail due to a crash in hive client when dropping
partitions
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Apache Spark reassigned SPARK-18656:
Assignee: Apache Spark
>
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Sina Sohangir commented on SPARK-18656:
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Create a PR:
https://github.com/apache/spark/pull/16087
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Apache Spark commented on SPARK-18656:
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User 'sinasohangirsc' has created a pull request for this
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Sina Sohangir edited comment on SPARK-18656 at 11/30/16 10:03 PM:
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Marcelo Vanzin resolved SPARK-18546.
Resolution: Fixed
Fix Version/s: 2.1.1
> UnsafeShuffleWriter corrupts encrypted
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Eric Liang updated SPARK-18659:
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Summary: Incorrect behaviors in overwrite table for datasource tables
(was: Crash in overwrite
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Apache Spark reassigned SPARK-18656:
Assignee: (was: Apache Spark)
>
Yin Huai created SPARK-18660:
Summary: Parquet complains "Can not initialize counter due to
context is not a instance of TaskInputOutputContext, but is
org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl "
Key: SPARK-18660
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https://issues.apache.org/jira/browse/SPARK-18645?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15708003#comment-15708003
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Yuming Wang commented on SPARK-18645:
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I will pull request for this issue later.
> spark-daemon.sh
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Thomas Powell commented on SPARK-17608:
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Yes the confusing thing at the moment is the roundtripping
Yuming Wang created SPARK-18645:
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Summary: spark-daemon.sh arguments error lead to throws
Unrecognized option
Key: SPARK-18645
URL: https://issues.apache.org/jira/browse/SPARK-18645
Project: Spark
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Apache Spark commented on SPARK-18471:
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User 'AnthonyTruchet' has created a pull request for this
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Nick Pentreath resolved SPARK-18366.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15817
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Nick Pentreath updated SPARK-18366:
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Fix Version/s: (was: 2.1.0)
2.1.1
> Add handleInvalid to Pyspark for
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Sean Owen resolved SPARK-18612.
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Resolution: Fixed
Fix Version/s: 2.1.1
Issue resolved by pull request 16040
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Sean Owen updated SPARK-18612:
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Assignee: Anthony Truchet
> Leaked broadcasted variable Mllib
> -
>
>
Jussi Jousimo created SPARK-18644:
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Summary: spark-submit fails to run python scripts with specific
names
Key: SPARK-18644
URL: https://issues.apache.org/jira/browse/SPARK-18644
Project: Spark
Min Shen created SPARK-18646:
Summary: ExecutorClassLoader for spark-shell does not honor
spark.executor.userClassPathFirst
Key: SPARK-18646
URL: https://issues.apache.org/jira/browse/SPARK-18646
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https://issues.apache.org/jira/browse/SPARK-18366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-18366:
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Assignee: Sandeep Singh
> Add handleInvalid to Pyspark for QuantileDiscretizer and
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Min Shen updated SPARK-18646:
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Component/s: (was: Spark Core)
Spark Shell
> ExecutorClassLoader for spark-shell
Wenchen Fan created SPARK-18647:
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Summary: do not put provider in table properties for Hive serde
table
Key: SPARK-18647
URL: https://issues.apache.org/jira/browse/SPARK-18647
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18645:
Assignee: Apache Spark
> spark-daemon.sh arguments error lead to throws Unrecognized
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https://issues.apache.org/jira/browse/SPARK-18645?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15708219#comment-15708219
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Apache Spark commented on SPARK-18645:
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User 'wangyum' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18645:
Assignee: (was: Apache Spark)
> spark-daemon.sh arguments error lead to throws
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https://issues.apache.org/jira/browse/SPARK-17932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell resolved SPARK-17932.
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Resolution: Fixed
Assignee: Jiang Xingbo
Fix Version/s: 2.2.0
>
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https://issues.apache.org/jira/browse/SPARK-18097?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15654685#comment-15654685
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Thomas Sebastian edited comment on SPARK-18097 at 11/30/16 11:39 AM:
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https://issues.apache.org/jira/browse/SPARK-18551?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15708360#comment-15708360
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Steve Loughran commented on SPARK-18551:
Which JIRA are you using here?
FWIW, one issue with
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https://issues.apache.org/jira/browse/SPARK-18374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15708181#comment-15708181
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Sean Owen commented on SPARK-18374:
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I think you can proceed to remove things like "won" but also
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