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Felix Cheung commented on SPARK-18332:
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Agreed. This piece is in need of updates, urgently ;)
>
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Dongjoon Hyun updated SPARK-14914:
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Component/s: Tests
> Test Cases fail on Windows
> --
>
>
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Apache Spark reassigned SPARK-18796:
Assignee: Apache Spark
> StreamingQueryManager should not hold a lock when starting a
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Apache Spark reassigned SPARK-18796:
Assignee: (was: Apache Spark)
> StreamingQueryManager should not hold a lock when
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Apache Spark commented on SPARK-18796:
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User 'zsxwing' has created a pull request for this issue:
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Shixiong Zhu updated SPARK-18796:
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Component/s: Structured Streaming
> StreamingQueryManager should not hold a lock when starting a
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Shixiong Zhu updated SPARK-18796:
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Description: Otherwise, the user cannot start any queries when a query is
starting. If a query
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Shixiong Zhu updated SPARK-18796:
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Affects Version/s: 2.1.0
2.0.2
> StreamingQueryManager should not hold a
Shixiong Zhu created SPARK-18796:
Summary: StreamingQueryManager should not hold a lock when
starting a query
Key: SPARK-18796
URL: https://issues.apache.org/jira/browse/SPARK-18796
Project: Spark
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Dongjoon Hyun commented on SPARK-18745:
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Hi, I removed the FIX VERSION because this issue is
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Dongjoon Hyun updated SPARK-18745:
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Fix Version/s: (was: 2.1.0)
> java.lang.IndexOutOfBoundsException running query 68 Spark
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Davies Liu commented on SPARK-18676:
Yes, it can, see WholeStageCodegen.doExecute() as an example.
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Joseph K. Bradley updated SPARK-18795:
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Description: Update vignettes to cover ksTest (was: Update vignettes to
cover
Joseph K. Bradley created SPARK-18795:
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Summary: SparkR vignette update: ksTest
Key: SPARK-18795
URL: https://issues.apache.org/jira/browse/SPARK-18795
Project: Spark
Issue Type:
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Joseph K. Bradley updated SPARK-18794:
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Description: Update vignettes to cover gradient boosted trees (was: Update
vignettes
Joseph K. Bradley created SPARK-18794:
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Summary: SparkR vignette update: gbt
Key: SPARK-18794
URL: https://issues.apache.org/jira/browse/SPARK-18794
Project: Spark
Issue Type:
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Joseph K. Bradley commented on SPARK-18332:
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Btw, it will also be good to get rid of the
Joseph K. Bradley created SPARK-18793:
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Summary: SparkR vignette update: random forest
Key: SPARK-18793
URL: https://issues.apache.org/jira/browse/SPARK-18793
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-18792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-18792:
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Summary: SparkR vignette update: logit (was: SparkR vignette update:
multiclass
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Joseph K. Bradley updated SPARK-18793:
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Description:
Update vignettes to cover randomForest
was:Update vignettes to cover
Joseph K. Bradley created SPARK-18792:
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Summary: SparkR vignette update: multiclass logistic regression
Key: SPARK-18792
URL: https://issues.apache.org/jira/browse/SPARK-18792
Project: Spark
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Joseph K. Bradley commented on SPARK-18332:
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I'll make some subtasks
> SparkR 2.1 QA:
Michael Armbrust created SPARK-18791:
Summary: Stream-Stream Joins
Key: SPARK-18791
URL: https://issues.apache.org/jira/browse/SPARK-18791
Project: Spark
Issue Type: New Feature
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Xiangrui Meng resolved SPARK-17823.
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Resolution: Duplicate
This is contained by SPARK-17822.
> Make JVMObjectTracker.objMap
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Erik Erlandson commented on SPARK-18278:
As I understand it (and as I've built them) an "MVP"
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Apache Spark commented on SPARK-18590:
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User 'shivaram' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15733397#comment-15733397
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Marcelo Vanzin commented on SPARK-18752:
For posterity, here's the exception we hit in our tests:
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Marcelo Vanzin resolved SPARK-15218.
Resolution: Won't Fix
I'm gonna close this since it's an issue in Mesos. If anyone has a
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Apache Spark reassigned SPARK-18790:
Assignee: (was: Apache Spark)
> Keep a general offset history of stream batches
>
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Apache Spark commented on SPARK-18790:
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User 'tcondie' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18790:
Assignee: Apache Spark
> Keep a general offset history of stream batches
>
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https://issues.apache.org/jira/browse/SPARK-18331?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15733376#comment-15733376
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Joseph K. Bradley commented on SPARK-18331:
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Hm, I forgot SparkR does not have a website.
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Joseph K. Bradley updated SPARK-18331:
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Target Version/s: (was: 2.1.0)
> Update SparkR website for 2.1
>
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Joseph K. Bradley closed SPARK-18331.
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Resolution: Not A Problem
> Update SparkR website for 2.1
>
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Madhumita Nagle commented on SPARK-16599:
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Hi,
I get a similar error. In my code i also try to
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Reynold Xin resolved SPARK-18760.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> Provide consistent
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Tyson Condie updated SPARK-18790:
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Component/s: Structured Streaming
> Keep a general offset history of stream batches
>
Tyson Condie created SPARK-18790:
Summary: Keep a general offset history of stream batches
Key: SPARK-18790
URL: https://issues.apache.org/jira/browse/SPARK-18790
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-9487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15733342#comment-15733342
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Saikat Kanjilal commented on SPARK-9487:
Given the latest thread on the devlist thoughts
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Joseph K. Bradley closed SPARK-18330.
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Resolution: Duplicate
> SparkR 2.1 QA: Update user guide for new features & APIs
>
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Joseph K. Bradley updated SPARK-18330:
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Target Version/s: (was: 2.1.0)
> SparkR 2.1 QA: Update user guide for new features &
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Joseph K. Bradley commented on SPARK-18330:
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I'll close this task. Its elements can be done
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Joseph K. Bradley commented on SPARK-18330:
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Yeah, maybe we can consolidate some of these tasks
Harish created SPARK-18789:
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Summary: Save Data frame with Null column exception
Key: SPARK-18789
URL: https://issues.apache.org/jira/browse/SPARK-18789
Project: Spark
Issue Type: Bug
Affects
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Andrew Ray commented on SPARK-17859:
this appears to be fixed in 2.0.2
{code}
scala>
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Shixiong Zhu updated SPARK-18751:
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Affects Version/s: 2.1.0
> Deadlock when SparkContext.stop is called in
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Shixiong Zhu resolved SPARK-18751.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> Deadlock when
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Davies Liu updated SPARK-16589:
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Fix Version/s: (was: 2.1.0)
2.1.1
> Chained cartesian produces incorrect
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https://issues.apache.org/jira/browse/SPARK-18323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley reassigned SPARK-18323:
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Assignee: Joseph K. Bradley
> Update MLlib, GraphX websites for 2.1
>
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https://issues.apache.org/jira/browse/SPARK-9384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-9384.
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Resolution: Won't Fix
It seems there hasn't really been much interest in pushing this forward
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Nattavut Sutyanyong commented on SPARK-18591:
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[~maropu]: Why do you choose to implement it
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Shivaram Venkataraman resolved SPARK-18590.
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Resolution: Fixed
Fix Version/s: 2.1.1
Issue resolved by pull request
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Apache Spark commented on SPARK-18774:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-16589.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.3
> Chained cartesian
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Davies Liu updated SPARK-16589:
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Assignee: Andrew Ray
> Chained cartesian produces incorrect number of records
>
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Miao Wang commented on SPARK-18332:
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[~felixcheung]Let me add the spark.logit by today. Then, we can
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Marcelo Vanzin resolved SPARK-8617.
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Resolution: Fixed
Assignee: Ergin Seyfe
Fix Version/s: 2.2.0
> Handle history
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Nattavut Sutyanyong commented on SPARK-18688:
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It looks like this "interpolation" join is
Raela Wang created SPARK-18788:
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Summary: Add getNumPartitions() to SparkR
Key: SPARK-18788
URL: https://issues.apache.org/jira/browse/SPARK-18788
Project: Spark
Issue Type: New Feature
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Felix Cheung commented on SPARK-18330:
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Yanbo has already updated the programming guide with for
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Jiayue Zhang commented on SPARK-14932:
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I can work on this. Thanks.
> Allow DataFrame.replace() to
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Felix Cheung commented on SPARK-18332:
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Would you have time to do this [~wangmiao1981]? Particularly
Aniket Bhatnagar created SPARK-18787:
Summary: spark.shuffle.io.preferDirectBufs does not completely
turn off direct buffer usage by Netty
Key: SPARK-18787
URL:
Alex Liu created SPARK-18786:
Summary: pySpark SQLContext.getOrCreate(sc) take stopped
sparkContext
Key: SPARK-18786
URL: https://issues.apache.org/jira/browse/SPARK-18786
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15732594#comment-15732594
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Hyukjin Kwon commented on SPARK-18785:
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I will work on this.
> Fix/Investigate the test failures in
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Hyukjin Kwon updated SPARK-18785:
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Description:
- {{FileSuite}}
{code}
[info] - binary file input as byte array *** FAILED ***
Hyukjin Kwon created SPARK-18785:
Summary: Fix/Investigate the test failures in Java/Scala on Windows
Key: SPARK-18785
URL: https://issues.apache.org/jira/browse/SPARK-18785
Project: Spark
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Wenchen Fan resolved SPARK-18667.
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Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.1.0
>
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Hyukjin Kwon resolved SPARK-17591.
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Resolution: Done
I am resolving this because I can proceed the tests further and the sub-tasks
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Sean Owen updated SPARK-18781:
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Priority: Minor (was: Major)
It makes sense, though I'm also not sure of a great way to get around
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Sean Owen resolved SPARK-18718.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16147
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Sean Owen resolved SPARK-18784.
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Resolution: Duplicate
It's actually ignorable
> Managed memory leak - spark-2.0.2
>
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Sean Owen commented on SPARK-18779:
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It sounds like you're saying that you need a particular client API
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Pranav Nakhe updated SPARK-18779:
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Description:
I apologize for the earlier descripion which wasnt very clear about the issue.
I
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Apache Spark commented on SPARK-18325:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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manuel garrido updated SPARK-18783:
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Description:
Using StringIndexer.transform with a nested field (from parsing json data)
Appu K created SPARK-18784:
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Summary: Managed memory leak - spark-2.0.2
Key: SPARK-18784
URL: https://issues.apache.org/jira/browse/SPARK-18784
Project: Spark
Issue Type: Bug
Affects Versions:
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manuel garrido updated SPARK-18783:
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Description:
Using StringIndexer.transform with a nested field (from parsing json data)
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manuel garrido updated SPARK-18783:
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Description:
Using StringIndexer.transform with a nested field (from parsing json data)
manuel garrido created SPARK-18783:
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Summary: ML StringIndexer does not work with nested fields
Key: SPARK-18783
URL: https://issues.apache.org/jira/browse/SPARK-18783
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18020:
Assignee: (was: Apache Spark)
> Kinesis receiver does not snapshot when shard
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Apache Spark commented on SPARK-18020:
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User 'maropu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18020:
Assignee: Apache Spark
> Kinesis receiver does not snapshot when shard completes
>
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Apache Spark commented on SPARK-18782:
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User 'a-roberts' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18782:
Assignee: (was: Apache Spark)
> Bump Hadoop 2.6 version to use Hadoop 2.6.5
>
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Apache Spark reassigned SPARK-18782:
Assignee: Apache Spark
> Bump Hadoop 2.6 version to use Hadoop 2.6.5
>
Adam Roberts created SPARK-18782:
Summary: Bump Hadoop 2.6 version to use Hadoop 2.6.5
Key: SPARK-18782
URL: https://issues.apache.org/jira/browse/SPARK-18782
Project: Spark
Issue Type:
Eyal Allweil created SPARK-18781:
Summary: Allow MatrixFactorizationModel.predict to skip
user/product approximation count
Key: SPARK-18781
URL: https://issues.apache.org/jira/browse/SPARK-18781
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Apache Spark reassigned SPARK-18576:
Assignee: (was: Apache Spark)
> Expose basic TaskContext info in PySpark
>
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https://issues.apache.org/jira/browse/SPARK-18576?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18576:
Assignee: Apache Spark
> Expose basic TaskContext info in PySpark
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https://issues.apache.org/jira/browse/SPARK-18576?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731722#comment-15731722
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Apache Spark commented on SPARK-18576:
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User 'holdenk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18779?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731643#comment-15731643
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Sean Owen commented on SPARK-18779:
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So you need a 0.10.1 feature on the client side for your app to
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https://issues.apache.org/jira/browse/SPARK-18780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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SunYonggang updated SPARK-18780:
Description:
In Spark-Shell, I want to generate RDD from hivecontext.sql(hql_content), the
syntax
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https://issues.apache.org/jira/browse/SPARK-18780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731634#comment-15731634
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SunYonggang commented on SPARK-18780:
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But if you use first_value(), it can avoid this error: "select
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https://issues.apache.org/jira/browse/SPARK-18780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731630#comment-15731630
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SunYonggang commented on SPARK-18780:
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Here when i remove collect_set(b)[0] from the SQL, or when I
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https://issues.apache.org/jira/browse/SPARK-18278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731626#comment-15731626
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Sean Owen commented on SPARK-18278:
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Generally, ASF projects produce source not binaries, but,
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https://issues.apache.org/jira/browse/SPARK-650?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731628#comment-15731628
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Michael Schmeißer commented on SPARK-650:
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No, it's not just about propagating information - some
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SunYonggang updated SPARK-18780:
Environment:
hdp 2.4.0.0-169 with 10 servers in CentOS 6.5;
spark 1.6.0 hive 1.2.1hadoop
SunYonggang created SPARK-18780:
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Summary:
"org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding
attribute, tree fromunixtime(cast(…))"
Key: SPARK-18780
URL:
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https://issues.apache.org/jira/browse/SPARK-13955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15731574#comment-15731574
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liyunzhang_intel edited comment on SPARK-13955 at 12/8/16 8:54 AM:
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