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Prashant Sharma resolved SPARK-24279.
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Resolution: Invalid
> Incompatible byte code errors, when using test-jar of spark sql.
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Apache Spark reassigned SPARK-24477:
Assignee: (was: Apache Spark)
> Import submodules under pyspark.ml by default
>
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Apache Spark reassigned SPARK-24477:
Assignee: Apache Spark
> Import submodules under pyspark.ml by default
>
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Apache Spark commented on SPARK-24477:
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User 'HyukjinKwon' has created a pull request for this
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Prashant Sharma commented on SPARK-24279:
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Thanks a lot, that was the mistake.
> Incompatible
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Hyukjin Kwon resolved SPARK-24475.
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Resolution: Duplicate
> Nested JSON count() Exception
> -
>
>
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Hyukjin Kwon commented on SPARK-24475:
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I don't think Spark currently support Java 9 and 10 yet.
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Liang-Chi Hsieh edited comment on SPARK-24447 at 6/7/18 4:09 AM:
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I just
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Liang-Chi Hsieh commented on SPARK-24447:
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I just build Spark from current 2.3 branch. The above
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Xinyong Tian commented on SPARK-24431:
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I also feel it is reasonable to set first point as (0,p).
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Li Yuanjian commented on SPARK-24375:
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Got it, great thanks for your detailed explanation.
> Design
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Joseph Toth commented on SPARK-24475:
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It looks like it was my version of java on this machine. It
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Liang-Chi Hsieh commented on SPARK-24447:
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Yes, I can run the example code on a build from
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Hyukjin Kwon commented on SPARK-24475:
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I can't reproduce this. What's your version and env? does
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Hyukjin Kwon updated SPARK-24479:
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Affects Version/s: 2.4.0
> Register StreamingQueryListener in Spark Conf
>
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Hyukjin Kwon commented on SPARK-24480:
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(let's avoid to set the fix version which is usually set
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Hyukjin Kwon updated SPARK-24480:
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Fix Version/s: (was: 2.4.0)
> Add a config to register custom StreamingQueryListeners
>
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Arun Mahadevan commented on SPARK-24479:
PR raised - https://github.com/apache/spark/pull/21504
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Apache Spark reassigned SPARK-24479:
Assignee: Apache Spark
> Register StreamingQueryListener in Spark Conf
>
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Apache Spark commented on SPARK-24479:
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User 'arunmahadevan' has created a pull request for this
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Apache Spark reassigned SPARK-24479:
Assignee: (was: Apache Spark)
> Register StreamingQueryListener in Spark Conf
>
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Arun Mahadevan resolved SPARK-24480.
Resolution: Duplicate
Issue is already raised. Duplicate of SPARK-24479
> Add a config
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Andrew Conegliano updated SPARK-24481:
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Description:
Similar to other "grows beyond 64 KB" errors. Happens with large case
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Andrew Conegliano updated SPARK-24481:
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Description:
Similar to other "grows beyond 64 KB" errors. Happens with large case
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Andrew Conegliano updated SPARK-24481:
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Environment: Emr 5.13.0 and Databricks Cloud 4.0 (was: Emr 5.13.0)
>
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Andrew Conegliano updated SPARK-24481:
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Description:
Similar to other "grows beyond 64 KB" errors. Happens with large case
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Andrew Conegliano updated SPARK-24481:
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Description:
Similar to other "grows beyond 64 KB" errors. Happens with large case
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Andrew Conegliano updated SPARK-24481:
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Attachment: log4j-active(1).log
> GeneratedIteratorForCodegenStage1 grows beyond 64
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Apache Spark reassigned SPARK-24480:
Assignee: (was: Apache Spark)
> Add a config to register custom
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Apache Spark commented on SPARK-24480:
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User 'arunmahadevan' has created a pull request for this
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Apache Spark reassigned SPARK-24480:
Assignee: Apache Spark
> Add a config to register custom StreamingQueryListeners
>
Andrew Conegliano created SPARK-24481:
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Summary: GeneratedIteratorForCodegenStage1 grows beyond 64 KB
Key: SPARK-24481
URL: https://issues.apache.org/jira/browse/SPARK-24481
Project: Spark
Arun Mahadevan created SPARK-24480:
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Summary: Add a config to register custom StreamingQueryListeners
Key: SPARK-24480
URL: https://issues.apache.org/jira/browse/SPARK-24480
Project: Spark
Mingjie Tang created SPARK-24479:
Summary: Register StreamingQueryListener in Spark Conf
Key: SPARK-24479
URL: https://issues.apache.org/jira/browse/SPARK-24479
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-24478:
Assignee: (was: Apache Spark)
> DataSourceV2 should push filters and projection at
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Apache Spark commented on SPARK-24478:
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User 'rdblue' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24478:
Assignee: Apache Spark
> DataSourceV2 should push filters and projection at physical
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Joel Croteau commented on SPARK-24357:
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[~viirya], yes that's what I said. What I am saying is that
Ryan Blue created SPARK-24478:
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Summary: DataSourceV2 should push filters and projection at
physical plan conversion
Key: SPARK-24478
URL: https://issues.apache.org/jira/browse/SPARK-24478
Project: Spark
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Alexander Shkapsky commented on SPARK-24469:
*first* or *min* on a StringType column gets
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Hyukjin Kwon commented on SPARK-24477:
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Thanks for cc'ing me, [~mengxr]. Will do this too tomorrow.
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Xiangrui Meng updated SPARK-24477:
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Description:
Right now, we do not import submodules under pyspark.ml by default. So users
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Xiangrui Meng updated SPARK-24454:
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Issue Type: Improvement (was: Bug)
> ml.image doesn't have __all__ explicitly defined
>
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Xiangrui Meng commented on SPARK-24454:
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Updated this JIRA and created SPARK-24477.
> ml.image
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Xiangrui Meng updated SPARK-24454:
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Priority: Minor (was: Major)
> ml.image doesn't have __all__ explicitly defined
>
Xiangrui Meng created SPARK-24477:
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Summary: Import submodules under pyspark.ml by default
Key: SPARK-24477
URL: https://issues.apache.org/jira/browse/SPARK-24477
Project: Spark
Issue Type:
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Xiangrui Meng updated SPARK-24454:
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Description: ml/image.py doesn't have __all__ explicitly defined. It will
import all global
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Xiangrui Meng updated SPARK-24454:
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Summary: ml.image doesn't have __all__ explicitly defined (was: ml.image
doesn't have
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Eric Maynard commented on SPARK-24469:
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Ah, I see, I was wrongly thinking of the second case where
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Perry Chu commented on SPARK-24447:
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Do you mean building from source code? I haven't done that
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Shixiong Zhu updated SPARK-24466:
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Target Version/s: 2.4.0
> TextSocketMicroBatchReader no longer works with nc utility
>
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Jiang Xingbo commented on SPARK-24375:
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The major problem is that tasks in the same stage of a MPI
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Shixiong Zhu commented on SPARK-24279:
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Just did a quick look at your pom.xml. I think it's missing
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Alexander Shkapsky commented on SPARK-24469:
A simple case with a single input value "George
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Eric Maynard commented on SPARK-24469:
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bq. SELECT UPPER(text)GROUP BY UPPER(text)
bq.
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bharath kumar avusherla updated SPARK-24476:
Description:
We are working on spark streaming application using spark
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bharath kumar avusherla updated SPARK-24476:
Description:
We are working on spark streaming application using spark
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bharath kumar avusherla updated SPARK-24476:
Attachment: socket-timeout-exception
> java.net.SocketTimeoutException:
bharath kumar avusherla created SPARK-24476:
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Summary: java.net.SocketTimeoutException: Read timed out Exception
while running the Spark Structured Streaming in 2.3.0
Key: SPARK-24476
URL:
Joseph Toth created SPARK-24475:
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Summary: Nested JSON count() Exception
Key: SPARK-24475
URL: https://issues.apache.org/jira/browse/SPARK-24475
Project: Spark
Issue Type: Bug
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Li Yuanjian edited comment on SPARK-24375 at 6/6/18 3:55 PM:
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Hi
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Li Yuanjian commented on SPARK-24375:
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Hi [~cloud_fan] and [~jiangxb1987], just I tiny question
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Sean Owen commented on SPARK-24431:
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So, the model makes the same prediction p for all examples? In
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Dongjoon Hyun commented on SPARK-24472:
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Thank you for pinging me, [~zsxwing]
> Orc
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Dongjoon Hyun updated SPARK-24472:
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Affects Version/s: 1.6.3
2.0.2
2.1.2
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Apache Spark commented on SPARK-22575:
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User 'mgaido91' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22575:
Assignee: (was: Apache Spark)
> Making Spark Thrift Server clean up its cache
>
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Apache Spark reassigned SPARK-22575:
Assignee: Apache Spark
> Making Spark Thrift Server clean up its cache
>
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Wenchen Fan reassigned SPARK-23803:
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Assignee: Asher Saban
> Support bucket pruning to optimize filtering on a bucketed column
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Wenchen Fan resolved SPARK-23803.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20915
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Kyle Prifogle edited comment on SPARK-15882 at 6/6/18 1:00 PM:
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Kyle Prifogle commented on SPARK-15882:
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Noticing this is almost 2 years old now which gives me
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Kyle Prifogle resolved SPARK-24471.
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Resolution: Duplicate
> MlLib distributed plans
> ---
>
>
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Kyle Prifogle commented on SPARK-24471:
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This is what I was looking for:
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Al M updated SPARK-24474:
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Description:
I've observed an issue happening consistently when:
* A job contains a join of two datasets
*
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Al M commented on SPARK-24474:
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I appreciate that 2.2.0 is slightly old but I couldn't see any scheduler
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Al M updated SPARK-24474:
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Description:
I've observed an issue happening consistently when:
* A job contains a join of two datasets
*
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Teng Peng commented on SPARK-24431:
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[~Ben2018] The article makes sense to me. It seems the current
Al M created SPARK-24474:
Summary: Cores are left idle when there are a lot of stages to run
Key: SPARK-24474
URL: https://issues.apache.org/jira/browse/SPARK-24474
Project: Spark
Issue Type: Bug
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Al M updated SPARK-24474:
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Description:
I've observed an issue happening consistently when:
* A job contains a join of two datasets
*
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Apache Spark commented on SPARK-21687:
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User 'debugger87' has created a pull request for this
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Apache Spark reassigned SPARK-21687:
Assignee: (was: Apache Spark)
> Spark SQL should set createTime for Hive partition
>
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Apache Spark reassigned SPARK-21687:
Assignee: Apache Spark
> Spark SQL should set createTime for Hive partition
>
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Liang-Chi Hsieh edited comment on SPARK-24357 at 6/6/18 9:50 AM:
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I
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Liang-Chi Hsieh commented on SPARK-24357:
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I think this is because this number {{1 << 65}}
caijianming created SPARK-24473:
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Summary: It is no need to clip the predictive value by maxValue
and minValue when computing gradient on SVDplusplus model
Key: SPARK-24473
URL:
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Liang-Chi Hsieh commented on SPARK-24467:
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[~josephkb] Does that mean {{VectorAssembler}} will
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yuhao yang commented on SPARK-15064:
Yuhao will be OOF from May 29th to June 6th (annual leave and
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https://issues.apache.org/jira/browse/SPARK-15064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16502928#comment-16502928
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Apache Spark commented on SPARK-15064:
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User 'dongjinleekr' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16502914#comment-16502914
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Shixiong Zhu commented on SPARK-24472:
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cc [~dongjoon]
> Orc RecordReaderFactory throws
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https://issues.apache.org/jira/browse/SPARK-24455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xueyu closed SPARK-24455.
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> fix typo in TaskSchedulerImpl's comments
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>
> Key:
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https://issues.apache.org/jira/browse/SPARK-24447?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16502876#comment-16502876
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Liang-Chi Hsieh commented on SPARK-24447:
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I can't reproduce this in current master branch. Can
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