Feynman Liang created SPARK-8493:
Summary: Fisher Vector Feature Transformer
Key: SPARK-8493
URL: https://issues.apache.org/jira/browse/SPARK-8493
Project: Spark
Issue Type: Sub-task
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Shivaram Venkataraman resolved SPARK-8452.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request
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Shivaram Venkataraman updated SPARK-8452:
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Assignee: Hossein Falaki
expose jobGroup API in SparkR
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Yin Huai commented on SPARK-8315:
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I tried the following in 1.4
{code}
import
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Yu Ishikawa commented on SPARK-8477:
Oh, I'm sorry. I didn't know we have already have
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Michael Armbrust commented on SPARK-8470:
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Additional info on how this is being
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Feynman Liang updated SPARK-8485:
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Component/s: ML
Feature transformers for image processing
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Martin Zapletal commented on SPARK-8484:
I can work on this one. Can you please
Feynman Liang created SPARK-8486:
Summary: SIFT Feature Extractor
Key: SPARK-8486
URL: https://issues.apache.org/jira/browse/SPARK-8486
Project: Spark
Issue Type: Sub-task
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Xiangrui Meng closed SPARK-7360.
Resolution: Done
Fix Version/s: 1.4.0
Assignee: Xiangrui Meng (was:
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a scale and rotation invariant
method
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Feynman Liang updated SPARK-8486:
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Summary: SIFT/SURF/DAISY Feature Transformer (was: SIFT/SURF Feature
Transformer)
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PJ Fanning updated SPARK-8494:
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Description:
I found a similar issue to SPARK-1923 but with Scala 2.10.4.
I used the Test.scala from
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PJ Fanning updated SPARK-8494:
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Description:
I found a similar issue to SPARK-1923 but with Scala 2.10.4.
I used the Test.scala from
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Apache Spark commented on SPARK-6749:
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User 'ericl' has created a pull request for
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Apache Spark reassigned SPARK-6749:
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Assignee: (was: Apache Spark)
Make metastore client robust to underlying socket
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Apache Spark reassigned SPARK-6749:
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Assignee: Apache Spark
Make metastore client robust to underlying socket connection loss
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Reynold Xin commented on SPARK-8477:
Maybe inSet ?
Add in operator to DataFrame
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Xiangrui Meng commented on SPARK-8484:
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Assigned:)
Add TrainValidationSplit to
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Andrew Or edited comment on SPARK-8470 at 6/19/15 9:19 PM:
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Feynman Liang updated SPARK-8491:
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Description:
DAISY (Tola et al, PAMI 2010,
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Jonathan Kelly commented on SPARK-4438:
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This API was added in 1.4.0, right? Should
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PJ Fanning updated SPARK-8494:
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Attachment: spark-test-case.zip
ClassNotFoundException when running with sbt, scala 2.10.4, spray
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Olivier Girardot commented on SPARK-8332:
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You're right sorry
NoSuchMethodError:
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Andrew Or edited comment on SPARK-8470 at 6/19/15 8:35 PM:
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FYI,
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Davies Liu commented on SPARK-8477:
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[~rxin] [~yuu.ishik...@gmail.com] We already have
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Andrew Or closed SPARK-8470.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.1
MissingRequirementError for
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Andrew Or commented on SPARK-8470:
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Closing this as FIXED. We will add the regression
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Yin Huai resolved SPARK-8093.
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Resolution: Fixed
Fix Version/s: 1.4.1
Issue resolved by pull request 6799
PJ Fanning created SPARK-8494:
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Summary: ClassNotFoundException when running with sbt, scala
2.10.4, spray 1.3.3
Key: SPARK-8494
URL: https://issues.apache.org/jira/browse/SPARK-8494
Project: Spark
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a method to transform images into
dense
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Michael Armbrust commented on SPARK-8420:
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This is no longer true as we now
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Yu Ishikawa edited comment on SPARK-8477 at 6/19/15 8:27 PM:
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Yin Huai commented on SPARK-8093:
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With https://github.com/apache/spark/pull/6799, we have
Feynman Liang created SPARK-8485:
Summary: Feature transformers for image processing
Key: SPARK-8485
URL: https://issues.apache.org/jira/browse/SPARK-8485
Project: Spark
Issue Type: New
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a method to transform images into
dense
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Andrew Or commented on SPARK-8470:
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FYI, I was able to reproduce this locally. I was able
Tathagata Das created SPARK-8487:
Summary: Update reduceByKeyAndWindow docs to highlight that
filtering Function must be used
Key: SPARK-8487
URL: https://issues.apache.org/jira/browse/SPARK-8487
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Andrew Or closed SPARK-8470.
Resolution: Duplicate
MissingRequirementError for ScalaReflection on user classes
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Andrew Or reopened SPARK-8470:
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MissingRequirementError for ScalaReflection on user classes
Feynman Liang created SPARK-8490:
Summary: SURF Feature Transformer
Key: SPARK-8490
URL: https://issues.apache.org/jira/browse/SPARK-8490
Project: Spark
Issue Type: Sub-task
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Apache Spark commented on SPARK-8470:
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User 'andrewor14' has created a pull request
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PJ Fanning updated SPARK-8494:
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Description:
I found a similar issue to SPARK-1923 but with Scala 2.10.4.
I used the Test.scala from
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Apache Spark commented on SPARK-8492:
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User 'davies' has created a pull request for
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Apache Spark reassigned SPARK-8492:
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Assignee: Davies Liu (was: Apache Spark)
Support BinaryType in UnsafeRow
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Yu Ishikawa commented on SPARK-8477:
Should I rename the upper case {{In}} to
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a method to transform images into
dense
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Feynman Liang updated SPARK-8486:
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Summary: SIFT/SURF Feature Extractor (was: SIFT Feature Extractor)
SIFT/SURF Feature Extractor
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a method to transform images into
dense
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a scale and rotation invariant
method
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Feynman Liang updated SPARK-8486:
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Summary: SIFT Feature Transformer (was: SIFT/SURF/DAISY Feature
Transformer)
SIFT Feature
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Feynman Liang updated SPARK-8486:
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Description:
Scale invariant feature transform (SIFT) is a scale and rotation invariant
method
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Yu Ishikawa closed SPARK-8477.
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Add in operator to DataFrame Column in Python
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Davies Liu created SPARK-8492:
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Summary: Support BinaryType in UnsafeRow
Key: SPARK-8492
URL: https://issues.apache.org/jira/browse/SPARK-8492
Project: Spark
Issue Type: Bug
Feynman Liang created SPARK-8491:
Summary: DAISY Feature Transformer
Key: SPARK-8491
URL: https://issues.apache.org/jira/browse/SPARK-8491
Project: Spark
Issue Type: Sub-task
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Yin Huai updated SPARK-8093:
Fix Version/s: 1.5.0
Spark 1.4 branch's new JSON schema inference has changed the behavior of
handling
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PJ Fanning updated SPARK-8494:
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Description:
I found a similar issue to SPARK-1923 but with Scala 2.10.4.
I used the Test.scala from
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PJ Fanning commented on SPARK-8494:
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[~pwendell] Apologies about the JIRA being assigned
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Apache Spark reassigned SPARK-8492:
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Assignee: Apache Spark (was: Davies Liu)
Support BinaryType in UnsafeRow
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Ai He updated SPARK-7810:
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Issue Type: Improvement (was: Bug)
rdd.py _load_from_socket cannot load data from jvm socket if ipv6 is used
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Feynman Liang updated SPARK-8486:
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Summary: SIFT/SURF Feature Transformer (was: SIFT/SURF Feature Extractor)
SIFT/SURF Feature
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Yu Ishikawa commented on SPARK-8477:
[~rxin] Should we support not only `inSet` but
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Xiangrui Meng updated SPARK-8484:
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Assignee: Martin Zapletal
Add TrainValidationSplit to ml.tuning
Feynman Liang created SPARK-8488:
Summary: HOG Feature Transformer
Key: SPARK-8488
URL: https://issues.apache.org/jira/browse/SPARK-8488
Project: Spark
Issue Type: Sub-task
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Andrew Or commented on SPARK-8470:
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Update: I verified that this is actually already
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Michael Armbrust updated SPARK-8420:
Shepherd: Yin Huai
Inconsistent behavior with Dataframe Timestamp between 1.3.1 and 1.4.0
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Davies Liu updated SPARK-8477:
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Fix Version/s: 1.3.0
Add in operator to DataFrame Column in Python
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Andrew Or edited comment on SPARK-8470 at 6/19/15 8:36 PM:
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FYI,
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Davies Liu resolved SPARK-8477.
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Resolution: Implemented
Target Version/s: 1.3.0 (was: 1.5.0)
Add in operator to DataFrame
Andrew Or created SPARK-8489:
Summary: Add regression tests for SPARK-8470
Key: SPARK-8489
URL: https://issues.apache.org/jira/browse/SPARK-8489
Project: Spark
Issue Type: Bug
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Sean Owen commented on SPARK-8485:
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I think that before you opened all these JIRAs you
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Feynman Liang updated SPARK-8485:
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Target Version/s: (was: 1.5.0)
Feature transformers for image processing
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Apache Spark reassigned SPARK-8483:
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Assignee: (was: Apache Spark)
Remove commons-lang3 depedency from flume-sink
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Apache Spark commented on SPARK-8483:
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User 'harishreedharan' has created a pull
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Apache Spark reassigned SPARK-8483:
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Assignee: Apache Spark
Remove commons-lang3 depedency from flume-sink
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Joseph K. Bradley commented on SPARK-8485:
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This is something which is going to
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Apache Spark commented on SPARK-8420:
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User 'yhuai' has created a pull request for
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Patrick Wendell updated SPARK-8494:
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Assignee: (was: Patrick Wendell)
ClassNotFoundException when running with sbt, scala
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Tathagata Das closed SPARK-8389.
Resolution: Duplicate
Expose KafkaRDDs offsetRange in Python
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Tathagata Das updated SPARK-8389:
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Assignee: (was: Saisai Shao)
Expose KafkaRDDs offsetRange in Python
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Tathagata Das commented on SPARK-7786:
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[~397090770] This functionality can be easily
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Hari Shreedharan commented on SPARK-8483:
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Well, we aren't adding a dependency -
Yu Ishikawa created SPARK-8495:
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Summary: Add a `.lintr` file to validate the SparkR files
Key: SPARK-8495
URL: https://issues.apache.org/jira/browse/SPARK-8495
Project: Spark
Issue Type:
Fan Jiang created SPARK-8497:
Summary: Graph Clique(Complete Connected Sub-graph) Discovery
Algorithm
Key: SPARK-8497
URL: https://issues.apache.org/jira/browse/SPARK-8497
Project: Spark
Issue
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Tathagata Das commented on SPARK-8389:
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Aah, there is already discussion. This
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Tathagata Das updated SPARK-8389:
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Assignee: Saisai Shao (was: Cody Koeninger)
Expose KafkaRDDs offsetRange in Python
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Tathagata Das updated SPARK-8337:
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Component/s: Streaming
KafkaUtils.createDirectStream for python is lacking API/feature parity
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Shivaram Venkataraman commented on SPARK-6813:
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Two things
1. For the
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https://issues.apache.org/jira/browse/SPARK-7148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14594261#comment-14594261
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Joseph K. Bradley commented on SPARK-7148:
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Hm, if it's that simple, then I
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https://issues.apache.org/jira/browse/SPARK-6813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14594281#comment-14594281
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Yu Ishikawa edited comment on SPARK-6813 at 6/20/15 5:21 AM:
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https://issues.apache.org/jira/browse/SPARK-8489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-8489.
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Resolution: Fixed
Fix Version/s: 1.5.0
1.4.1
Issue resolved by
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https://issues.apache.org/jira/browse/SPARK-8389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-8389:
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Summary: Expose KafkaRDDs offsetRange in Python (was: Expose KafkaRDDs
offsetRange in Java and
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https://issues.apache.org/jira/browse/SPARK-8420?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14594215#comment-14594215
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Yin Huai commented on SPARK-8420:
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Will resolve this one after 1.4 backport is merged.
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https://issues.apache.org/jira/browse/SPARK-8483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-8483:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0)
Remove commons-lang3 depedency from flume-sink
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https://issues.apache.org/jira/browse/SPARK-8483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14594228#comment-14594228
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Tathagata Das commented on SPARK-8483:
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We generally do not the dependency changes
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Yu Ishikawa commented on SPARK-6813:
[~shivaram] Those two rules looks good!
I
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Yu Ishikawa edited comment on SPARK-6813 at 6/20/15 1:25 AM:
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https://issues.apache.org/jira/browse/SPARK-8490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Feynman Liang updated SPARK-8490:
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Priority: Minor (was: Major)
SURF Feature Transformer
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https://issues.apache.org/jira/browse/SPARK-8485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Feynman Liang updated SPARK-8485:
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Priority: Minor (was: Major)
Feature transformers for image processing
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https://issues.apache.org/jira/browse/SPARK-8493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Feynman Liang updated SPARK-8493:
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Priority: Minor (was: Major)
Fisher Vector Feature Transformer
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