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Apache Spark commented on SPARK-9853:
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User 'yucai' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16258894#comment-16258894
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Maciej Bryński commented on SPARK-16996:
[~ste...@apache.org]
I didn't replace spark-hive.jar but
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Apache Spark commented on SPARK-22541:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22541:
Assignee: Apache Spark
> Dataframes: applying multiple filters one after another using
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Apache Spark reassigned SPARK-22541:
Assignee: (was: Apache Spark)
> Dataframes: applying multiple filters one after
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https://issues.apache.org/jira/browse/SPARK-22559?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22559:
Assignee: (was: Apache Spark)
> history server: handle exception on opening corrupted
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Apache Spark commented on SPARK-22559:
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User 'gengliangwang' has created a pull request for this
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Apache Spark reassigned SPARK-22559:
Assignee: Apache Spark
> history server: handle exception on opening corrupted
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Liang-Chi Hsieh edited comment on SPARK-22541 at 11/20/17 7:14 AM:
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Gengliang Wang created SPARK-22559:
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Summary: history server: handle exception on opening corrupted
listing.ldb
Key: SPARK-22559
URL: https://issues.apache.org/jira/browse/SPARK-22559
Project: Spark
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Liang-Chi Hsieh commented on SPARK-22541:
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Similar to the case of using python udfs with
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Liang-Chi Hsieh edited comment on SPARK-22541 at 11/20/17 7:01 AM:
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Liang-Chi Hsieh commented on SPARK-22541:
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Sorry, my previous reply is not completely correct.
KhajaAsmath Mohammed created SPARK-22558:
Summary: SparkHiveDynamicPartition fails when trying to write data
from kafka to hive using spark streaming
Key: SPARK-22558
URL:
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https://issues.apache.org/jira/browse/SPARK-22554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22554.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19782
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Hyukjin Kwon reassigned SPARK-22554:
Assignee: Hyukjin Kwon
> Add a config to control if PySpark should use daemon or not
>
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Hyukjin Kwon resolved SPARK-22557.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19784
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Hyukjin Kwon reassigned SPARK-22557:
Assignee: Dongjoon Hyun
> Use ThreadSignaler explicitly
> -
>
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Sean Owen commented on SPARK-22556:
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Are you saying the behavior is incorrect or undesirable? if it's
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Apache Spark commented on SPARK-22557:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-22557:
Assignee: (was: Apache Spark)
> Use ThreadSignaler explicitly
>
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Apache Spark reassigned SPARK-22557:
Assignee: Apache Spark
> Use ThreadSignaler explicitly
> -
>
Dongjoon Hyun created SPARK-22557:
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Summary: Use ThreadSignaler explicitly
Key: SPARK-22557
URL: https://issues.apache.org/jira/browse/SPARK-22557
Project: Spark
Issue Type: Bug
Thiago Rodrigues Baldim created SPARK-22556:
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Summary: WrappedArray with Explode Function create WrappedArray
with 1 object.
Key: SPARK-22556
URL: https://issues.apache.org/jira/browse/SPARK-22556
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https://issues.apache.org/jira/browse/SPARK-20201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-20201:
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Target Version/s: 2.2.1
> Flaky Test: org.apache.spark.sql.catalyst.expressions.OrderingSuite
>
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Felix Cheung updated SPARK-22543:
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Target Version/s: 2.2.1, 2.3.0
> fix java 64kb compile error for deeply nested expressions
>
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https://issues.apache.org/jira/browse/SPARK-22495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-22495:
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Target Version/s: 2.2.1, 2.3.0
> Fix setup of SPARK_HOME variable on Windows
>
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https://issues.apache.org/jira/browse/SPARK-21322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16258601#comment-16258601
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Ron Hu commented on SPARK-21322:
Pull request 19357 was created while there were several dependencies
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Apache Spark commented on SPARK-21322:
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User 'ron8hu' has created a pull request for this issue:
Andrew Crosby created SPARK-22555:
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Summary: Possibly incorrect scaling of L2 regularization strength
in LinearRegression
Key: SPARK-22555
URL: https://issues.apache.org/jira/browse/SPARK-22555
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https://issues.apache.org/jira/browse/SPARK-19476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16258487#comment-16258487
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Sean Owen commented on SPARK-19476:
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Ok. These limitations are from your app though (no batching, high
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Gal Topper commented on SPARK-19476:
The DB supports concurrent requests, but not batching. Meaning
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Sean Owen commented on SPARK-19476:
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But if the DB doesn't like more than 1 concurrent request how do
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https://issues.apache.org/jira/browse/SPARK-22393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16258476#comment-16258476
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Mark Petruska commented on SPARK-22393:
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Trace of the 2.11 version:
{code}
...
parse("
class
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Gal Topper commented on SPARK-19476:
> why not more partitions?
Because the overhead of 1 slot (or
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Mark Petruska commented on SPARK-22393:
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The difference between scala repls 2.11 and 2.12 is seen
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Mark Petruska commented on SPARK-22393:
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With the 2.12 build:
{code}
import
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Sean Owen resolved SPARK-19476.
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Resolution: Not A Problem
> Running threads in Spark DataFrame foreachPartition() causes
>
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Sean Owen commented on SPARK-19476:
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Then it's just back to the question: why not more partitions? Why
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Mark Petruska commented on SPARK-22393:
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Tested with spark-shell build 2.11:
{code}
import
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