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John Steidley commented on SPARK-19984:
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[~kiszk] I just hit this issue. I am able to reproduce it
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Zhenhua Wang updated SPARK-22179:
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Description:
percentile_approx should choose the first element if it already reaches the
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Zhenhua Wang updated SPARK-22179:
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Description:
percentile_approx should choose the first element if it already reaches the
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Zhenhua Wang updated SPARK-22179:
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Description:
percentile_approx should choose the first element if it already reaches the
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Felix Cheung commented on SPARK-22063:
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surely, I think we could even start with something simple
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Shivaram Venkataraman commented on SPARK-22063:
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[~shaneknapp] [~felixcheung] Lets move the
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https://issues.apache.org/jira/browse/SPARK-22181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16187526#comment-16187526
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Sathiya Kumar commented on SPARK-22181:
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I will create the PR if you agree..
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Sathiya Kumar commented on SPARK-22181:
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Here is the rule implementation, which could be scheduled
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Sathiya Kumar commented on SPARK-22181:
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Please give me assign right to assign this task to myself,
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https://issues.apache.org/jira/browse/SPARK-22180?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16187508#comment-16187508
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Sean Owen commented on SPARK-22180:
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To be clear I don't think this make IPv6 fully work for Spark,
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Sean Owen updated SPARK-22180:
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Priority: Minor (was: Critical)
> Allow IPv6 address in org.apache.spark.util.Utils.parseHostPort
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Sean Owen updated SPARK-22180:
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Labels: (was: features patch)
> Allow IPv6 address in org.apache.spark.util.Utils.parseHostPort
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Xiao Li updated SPARK-22179:
Description: percentile_approx should choose the first element if it
already reaches the percentage
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https://issues.apache.org/jira/browse/SPARK-22001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li reassigned SPARK-22001:
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Assignee: Liang-Chi Hsieh
> ImputerModel can do withColumn for all input columns at one pass
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Xiao Li resolved SPARK-22001.
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Resolution: Fixed
Fix Version/s: 2.3.0
> ImputerModel can do withColumn for all input columns at
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Sathiya Kumar updated SPARK-22181:
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Description:
While applying Except operator between two datasets, if one or both of the
Sathiya Kumar created SPARK-22181:
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Summary: ReplaceExceptWithNotFilter if one or both of the datasets
are fully derived out of Filters from a same parent
Key: SPARK-22181
URL:
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Stefan Obermeier updated SPARK-22180:
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Summary: Allow IPv6 address in org.apache.spark.util.Utils.parseHostPort
(was: Allow
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Apache Spark reassigned SPARK-22180:
Assignee: (was: Apache Spark)
> Allow IPv6 address
> --
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Apache Spark commented on SPARK-22180:
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User 'obermeier' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22180:
Assignee: Apache Spark
> Allow IPv6 address
> --
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> Key:
Stefan Obermeier created SPARK-22180:
Summary: Allow IPv6 address
Key: SPARK-22180
URL: https://issues.apache.org/jira/browse/SPARK-22180
Project: Spark
Issue Type: Improvement
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Hyukjin Kwon commented on SPARK-22063:
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The lint failures were fixed first in
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Sean Owen resolved SPARK-22177.
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Resolution: Invalid
This is not a Spark issue, but something to do with Spot. Somewhere you're
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Apache Spark reassigned SPARK-21667:
Assignee: Apache Spark
> ConsoleSink should not fail streaming query with
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https://issues.apache.org/jira/browse/SPARK-21667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16187303#comment-16187303
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Apache Spark commented on SPARK-21667:
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User 'rekhajoshm' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21667:
Assignee: (was: Apache Spark)
> ConsoleSink should not fail streaming query with
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