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Dongjoon Hyun updated SPARK-14194:
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Affects Version/s: 2.1.0
> spark csv reader not working properly if CSV content contains CRLF
BahaaEddin AlAila created SPARK-19646:
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Summary: binaryRecords replicates records in scala API
Key: SPARK-19646
URL: https://issues.apache.org/jira/browse/SPARK-19646
Project: Spark
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
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guifeng updated SPARK-19645:
Summary: structured streaming job restart bug (was: structured streaming
job restart)
> structured
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
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https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
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https://issues.apache.org/jira/browse/SPARK-19645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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guifeng updated SPARK-19645:
Description:
We are trying to use Structured Streaming in product, however currently
there exists a
guifeng created SPARK-19645:
---
Summary: structured streaming job restart
Key: SPARK-19645
URL: https://issues.apache.org/jira/browse/SPARK-19645
Project: Spark
Issue Type: Bug
Components:
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Deenbandhu Agarwal updated SPARK-19644:
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Affects Version/s: (was: 2.0.1)
2.0.2
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Deenbandhu Agarwal updated SPARK-19644:
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Attachment: heapdump.png
Snap shot of heap dump after 50 hours
> Memory leak in
Deenbandhu Agarwal created SPARK-19644:
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Summary: Memory leak in Spark Streaming
Key: SPARK-19644
URL: https://issues.apache.org/jira/browse/SPARK-19644
Project: Spark
Issue Type: Bug
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Takeshi Yamamuro commented on SPARK-19641:
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okay, thanks!
> JSON schema inference in
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Hyukjin Kwon commented on SPARK-19641:
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Ah, thanks for cc'ing me. I happened to see the related
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Wenchen Fan reassigned SPARK-19557:
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Assignee: Wenchen Fan
> Output parameters are not present in SQL Query Plan
>
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Wenchen Fan reassigned SPARK-18120:
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Assignee: Wenchen Fan
> QueryExecutionListener method doesnt' get executed for
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Wenchen Fan resolved SPARK-19557.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16962
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Wenchen Fan resolved SPARK-18120.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16962
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Wenchen Fan reassigned SPARK-18352:
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Assignee: Nathan Howell
> Parse normal, multi-line JSON files (not just JSON Lines)
>
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Wenchen Fan resolved SPARK-18352.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16386
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Takeshi Yamamuro commented on SPARK-19638:
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The pushing-down stuffs depend on datasources, so
Felix Cheung created SPARK-19643:
Summary: Document how to use Spark/SparkR on Windows
Key: SPARK-19643
URL: https://issues.apache.org/jira/browse/SPARK-19643
Project: Spark
Issue Type: Bug
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Takeshi Yamamuro commented on SPARK-19641:
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Could you show us a simple query to reproduce this?
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Apache Spark reassigned SPARK-19556:
Assignee: (was: Apache Spark)
> Broadcast data is not encrypted when I/O encryption
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Apache Spark reassigned SPARK-19556:
Assignee: Apache Spark
> Broadcast data is not encrypted when I/O encryption is on
>
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Apache Spark commented on SPARK-19573:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-19573:
Assignee: (was: Apache Spark)
> Make NaN/null handling consistent in approxQuantile
>
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Apache Spark reassigned SPARK-19573:
Assignee: Apache Spark
> Make NaN/null handling consistent in approxQuantile
>
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Jaeboo Jung edited comment on SPARK-19623 at 2/17/17 2:15 AM:
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Increasing
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Genmao Yu updated SPARK-19642:
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Summary: Improve the security guarantee for rest api and ui (was: Improve
the security guarantee for
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Genmao Yu updated SPARK-19642:
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Description: As Spark gets more and more features, data may start leaking
through other places (e.g.
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Genmao Yu updated SPARK-19642:
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Description: As Spark gets more and more features, data may start leaking
through other places (e.g.
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Genmao Yu commented on SPARK-19642:
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cc [~ajbozarth], [~vanzin] and [~srowen]
> Improve the security
Genmao Yu created SPARK-19642:
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Summary: Improve the security guarantee for rest api
Key: SPARK-19642
URL: https://issues.apache.org/jira/browse/SPARK-19642
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-19625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15871035#comment-15871035
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翟玉勇 commented on SPARK-19625:
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for spark 1.5.2 has
https://github.com/apache/spark/pull/10144
Nathan Howell created SPARK-19641:
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Summary: JSON schema inference in DROPMALFORMED mode produces
incorrect schema
Key: SPARK-19641
URL: https://issues.apache.org/jira/browse/SPARK-19641
Project:
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https://issues.apache.org/jira/browse/SPARK-19497?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15871016#comment-15871016
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Shixiong Zhu commented on SPARK-19497:
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[~samelamin] Thanks! I just submitted a PR. Could you help
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yuhao yang commented on SPARK-19640:
Thanks for reporting the issue. Feel free to send a fix if you
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Apache Spark reassigned SPARK-19497:
Assignee: Shixiong Zhu (was: Apache Spark)
> dropDuplicates with watermark
>
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Apache Spark commented on SPARK-19497:
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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-19497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19497:
Assignee: Apache Spark (was: Shixiong Zhu)
> dropDuplicates with watermark
>
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Stephen Kinser commented on SPARK-19640:
[~yuhaoyan]
I saw that you were the one who originally
Stephen Kinser created SPARK-19640:
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Summary: Incorrect documentation for MLlib CountVectorizerModel
for spark 1.5.2
Key: SPARK-19640
URL: https://issues.apache.org/jira/browse/SPARK-19640
Project:
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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870990#comment-15870990
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Jaeboo Jung commented on SPARK-19623:
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Increasing driver memory can't clear this issue because memory
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Apache Spark reassigned SPARK-19639:
Assignee: Apache Spark
> Add spark.svmLinear example and update vignettes
>
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Apache Spark reassigned SPARK-19639:
Assignee: (was: Apache Spark)
> Add spark.svmLinear example and update vignettes
>
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Apache Spark commented on SPARK-19639:
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User 'wangmiao1981' has created a pull request for this
Miao Wang created SPARK-19639:
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Summary: Add spark.svmLinear example and update vignettes
Key: SPARK-19639
URL: https://issues.apache.org/jira/browse/SPARK-19639
Project: Spark
Issue Type:
Nick Dimiduk created SPARK-19638:
Summary: Filter pushdown not working for struct fields
Key: SPARK-19638
URL: https://issues.apache.org/jira/browse/SPARK-19638
Project: Spark
Issue Type:
Burak Yavuz created SPARK-19637:
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Summary: add to_json APIs to SQL
Key: SPARK-19637
URL: https://issues.apache.org/jira/browse/SPARK-19637
Project: Spark
Issue Type: New Feature
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Miao Wang commented on SPARK-19634:
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I can give a try. Thanks!
Miao
> Feature parity for descriptive
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Josh Rosen commented on SPARK-14658:
Here's the logs from my reproduction, excerpted down to only the
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Apache Spark reassigned SPARK-19337:
Assignee: Apache Spark
> Documentation and examples for LinearSVC
>
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Apache Spark commented on SPARK-19337:
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User 'hhbyyh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19337:
Assignee: (was: Apache Spark)
> Documentation and examples for LinearSVC
>
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https://issues.apache.org/jira/browse/SPARK-18409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18409:
Assignee: Apache Spark
> LSH approxNearestNeighbors should use approxQuantile instead of
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Apache Spark commented on SPARK-18409:
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User 'Yunni' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18409:
Assignee: (was: Apache Spark)
> LSH approxNearestNeighbors should use approxQuantile
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Yun Ni resolved SPARK-18286.
Resolution: Fixed
Fix Version/s: 2.2.0
> Add Scala/Java/Python examples for MinHash and
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Nicholas Chammas commented on SPARK-19553:
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The utility of 1) would be being able to count items
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Josh Rosen updated SPARK-14658:
---
Description:
{code}
16/04/14 15:35:22 ERROR DAGSchedulerEventProcessLoop:
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Josh Rosen commented on SPARK-14658:
[~srowen], I think that [~yixiaohua] is right here: it looks
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Josh Rosen updated SPARK-14658:
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Affects Version/s: 2.2.0
2.0.0
2.1.0
> when executor
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Josh Rosen updated SPARK-14658:
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Component/s: (was: Spark Core)
Scheduler
> when executor lost DagScheduer may
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Josh Rosen reopened SPARK-14658:
> when executor lost DagScheduer may submit one stage twice even if the first
> running taskset for
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Sean Owen updated SPARK-19628:
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Fix Version/s: (was: 2.0.1)
> Duplicate Spark jobs in 2.1.0
> -
>
>
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Apache Spark reassigned SPARK-18450:
Assignee: (was: Apache Spark)
> Add AND-amplification to Locality Sensitive Hashing
>
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Apache Spark commented on SPARK-18450:
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User 'Yunni' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-19163:
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Assignee: Maciej Szymkiewicz
> Lazy creation of the _judf
> --
>
>
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Apache Spark reassigned SPARK-18450:
Assignee: Apache Spark
> Add AND-amplification to Locality Sensitive Hashing
>
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Sean Owen reassigned SPARK-19586:
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Assignee: Xiao Li
> Incorrect push down filter for double negative in SQL
>
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Sean Owen reassigned SPARK-16043:
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Assignee: Kazuaki Ishizaki
> Prepare GenericArrayData implementation specialized for a
Timothy Hunter created SPARK-19636:
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Summary: Feature parity for correlation statistics in MLlib
Key: SPARK-19636
URL: https://issues.apache.org/jira/browse/SPARK-19636
Project: Spark
Issue
Timothy Hunter created SPARK-19635:
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Summary: Feature parity for Chi-square hypothesis testing in MLlib
Key: SPARK-19635
URL: https://issues.apache.org/jira/browse/SPARK-19635
Project: Spark
Timothy Hunter created SPARK-19634:
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Summary: Feature parity for descriptive statistics in MLlib
Key: SPARK-19634
URL: https://issues.apache.org/jira/browse/SPARK-19634
Project: Spark
Issue
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Apache Spark commented on SPARK-19557:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19557?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19557:
Assignee: Apache Spark
> Output parameters are not present in SQL Query Plan
>
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Apache Spark reassigned SPARK-19557:
Assignee: (was: Apache Spark)
> Output parameters are not present in SQL Query Plan
>
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https://issues.apache.org/jira/browse/SPARK-19208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870655#comment-15870655
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Timothy Hunter commented on SPARK-19208:
I put together the ideas in this thread into a document.
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Robert Kruszewski closed SPARK-19632.
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Resolution: Won't Fix
> Allow configuring non-hive and non-local SessionState and
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Robert Kruszewski commented on SPARK-19632:
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Thanks, I must have missed that.
> Allow
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Apache Spark commented on SPARK-19534:
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User 'srowen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870630#comment-15870630
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Dongjoon Hyun commented on SPARK-19632:
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Hi, [~robert3005].
I just added a previous JIRA issue link
Michael Armbrust created SPARK-19633:
Summary: FileSource read from FileSink
Key: SPARK-19633
URL: https://issues.apache.org/jira/browse/SPARK-19633
Project: Spark
Issue Type: New
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Apache Spark reassigned SPARK-19632:
Assignee: Apache Spark
> Allow configuring non-hive and non-local SessionState and
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Apache Spark reassigned SPARK-19632:
Assignee: (was: Apache Spark)
> Allow configuring non-hive and non-local SessionState
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Apache Spark commented on SPARK-19632:
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User 'robert3005' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17302?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870616#comment-15870616
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Abhishek Madav commented on SPARK-17302:
I believe this is fixed as part of SPARK-15887. Could
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https://issues.apache.org/jira/browse/SPARK-19628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19628:
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Component/s: (was: Spark Core)
SQL
> Duplicate Spark jobs in 2.1.0
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Robert Kruszewski created SPARK-19632:
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Summary: Allow configuring non-hive and non-local SessionState and
ExternalCatalog
Key: SPARK-19632
URL: https://issues.apache.org/jira/browse/SPARK-19632
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https://issues.apache.org/jira/browse/SPARK-18120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870586#comment-15870586
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Apache Spark commented on SPARK-18120:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-18891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870570#comment-15870570
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Michal Šenkýř commented on SPARK-18891:
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Started my work on Map support as there is still no
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https://issues.apache.org/jira/browse/SPARK-19614?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870525#comment-15870525
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Nick Dimiduk commented on SPARK-19614:
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{{lit(null).cast(type)}} does exactly what I needed. Thanks
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https://issues.apache.org/jira/browse/SPARK-19614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Dimiduk closed SPARK-19614.
Resolution: Invalid
> add type-preserving null function
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>
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https://issues.apache.org/jira/browse/SPARK-19617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19617:
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Description:
The streaming thread in StreamExecution uses the following ways to check if it
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https://issues.apache.org/jira/browse/SPARK-19617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19617:
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Summary: Fix the race condition when starting and stopping a query quickly
(was: Fix a case
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https://issues.apache.org/jira/browse/SPARK-19337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870514#comment-15870514
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yuhao yang commented on SPARK-19337:
Sure, I'll send a PR today.
> Documentation and examples for
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https://issues.apache.org/jira/browse/SPARK-19615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870513#comment-15870513
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Nick Dimiduk commented on SPARK-19615:
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IMHO, a union operation should be as generous as possible.
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https://issues.apache.org/jira/browse/SPARK-19615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Dimiduk updated SPARK-19615:
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Priority: Major (was: Minor)
> Provide Dataset union convenience for divergent schema
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