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Apache Spark commented on SPARK-23912:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23912:
Assignee: (was: Apache Spark)
> High-order function: array_distinct(x) → array
>
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Apache Spark reassigned SPARK-23912:
Assignee: Apache Spark
> High-order function: array_distinct(x) → array
>
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Apache Spark reassigned SPARK-23957:
Assignee: Apache Spark
> Sorts in subqueries are redundant and can be removed
>
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Apache Spark commented on SPARK-23957:
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User 'henryr' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23957:
Assignee: (was: Apache Spark)
> Sorts in subqueries are redundant and can be removed
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Hyukjin Kwon resolved SPARK-23958.
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Resolution: Duplicate
> HadoopRdd filters empty files to avoid generating empty tasks that
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Hyukjin Kwon resolved SPARK-23950.
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Resolution: Cannot Reproduce
> Coalescing an empty dataframe to 1 partition
>
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Hyukjin Kwon resolved SPARK-23965.
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Resolution: Won't Fix
> make python/py4j-src-0.x.y.zip file name Spark version-independent
>
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Hyukjin Kwon resolved SPARK-23955.
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Resolution: Fixed
Fixed in https://github.com/apache/spark/pull/21030
> typo in parameter
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Hyukjin Kwon commented on SPARK-23965:
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I would leave this resolved. I don't think it's a strong
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Hyukjin Kwon commented on SPARK-23965:
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I think that sounds we are going to more make the thridparty
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Gera Shegalov updated SPARK-23956:
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Priority: Minor (was: Major)
> Use effective RPC port in AM registration
>
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Hyukjin Kwon commented on SPARK-23961:
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FWIW, I met this issue a while ago too (and I gave up with
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Huaxin Gao commented on SPARK-23920:
I will work on this. Thanks!
> High-order function:
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Apache Spark commented on SPARK-23966:
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User 'tdas' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23966:
Assignee: Tathagata Das (was: Apache Spark)
> Refactoring all checkpoint file writing
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Apache Spark reassigned SPARK-23966:
Assignee: Apache Spark (was: Tathagata Das)
> Refactoring all checkpoint file writing
Tathagata Das created SPARK-23966:
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Summary: Refactoring all checkpoint file writing logic in a common
interface
Key: SPARK-23966
URL: https://issues.apache.org/jira/browse/SPARK-23966
Project: Spark
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Apache Spark reassigned SPARK-23956:
Assignee: (was: Apache Spark)
> Use effective RPC port in AM registration
>
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Apache Spark commented on SPARK-23956:
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User 'gerashegalov' has created a pull request for this
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Apache Spark reassigned SPARK-23956:
Assignee: Apache Spark
> Use effective RPC port in AM registration
>
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Ruslan Dautkhanov updated SPARK-23965:
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Description:
After each Spark release (that's normally packaged with slightly newer
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Apache Spark commented on SPARK-23955:
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User 'codeforfun15' has created a pull request for this
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Apache Spark reassigned SPARK-23955:
Assignee: Apache Spark
> typo in parameter name 'rawPredicition'
>
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Apache Spark reassigned SPARK-23955:
Assignee: (was: Apache Spark)
> typo in parameter name 'rawPredicition'
>
Ruslan Dautkhanov created SPARK-23965:
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Summary: make python/py4j-src-0.x.y.zip file name Spark
version-independent
Key: SPARK-23965
URL: https://issues.apache.org/jira/browse/SPARK-23965
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Bruce Robbins edited comment on SPARK-23715 at 4/11/18 8:09 PM:
I've been
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Kazuaki Ishizaki commented on SPARK-23914:
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I will work for this, thank you.
> High-order
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Kazuaki Ishizaki commented on SPARK-23913:
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I will work for this, thank you.
> High-order
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Thomas Graves commented on SPARK-23964:
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I'm not sure, I'm trying to figure out if there is a
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Apache Spark reassigned SPARK-23931:
Assignee: Apache Spark
> High-order function: zip(array1, array2[, ...]) → array
>
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Apache Spark commented on SPARK-23931:
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User 'DylanGuedes' has created a pull request for this
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Apache Spark reassigned SPARK-23931:
Assignee: (was: Apache Spark)
> High-order function: zip(array1, array2[, ...]) →
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Reynold Xin commented on SPARK-23964:
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Was it trying to reduce overhead?
> why does Spillable
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Thomas Graves updated SPARK-23964:
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Description:
The spillable class has a check in maybeSpill as to when it tries to acquire
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Thomas Graves commented on SPARK-23964:
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[~andrewor14] [~matei] [~r...@databricks.com]
A few
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Apache Spark commented on SPARK-9312:
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User 'ludatabricks' has created a pull request for this issue:
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Thomas Graves updated SPARK-23964:
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Description:
The spillable class has a check:
if (elementsRead % 32 == 0 && currentMemory >=
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Thomas Graves updated SPARK-23964:
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Environment: (was: The spillable class has a check:
if (elementsRead % 32 == 0 &&
Thomas Graves created SPARK-23964:
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Summary: why does Spillable wait for 32 elements?
Key: SPARK-23964
URL: https://issues.apache.org/jira/browse/SPARK-23964
Project: Spark
Issue Type: Bug
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Joseph K. Bradley resolved SPARK-22883.
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Resolution: Fixed
Fix Version/s: 2.3.1
Issue resolved by pull request 21042
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Michel Lemay updated SPARK-23961:
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Description:
Given a dataframe and use toLocalIterator. If we do not consume all records, it
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Apache Spark reassigned SPARK-23963:
Assignee: (was: Apache Spark)
> Queries on text-based Hive tables grow
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Apache Spark commented on SPARK-23963:
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User 'bersprockets' has created a pull request for this
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Apache Spark reassigned SPARK-23963:
Assignee: Apache Spark
> Queries on text-based Hive tables grow disproportionately slower
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Imran Rashid updated SPARK-23948:
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Component/s: Scheduler
> Trigger mapstage's job listener in submitMissingTasks
>
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Joseph K. Bradley updated SPARK-22883:
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Fix Version/s: 2.4.0
> ML test for StructuredStreaming: spark.ml.feature, A-M
>
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Joseph K. Bradley updated SPARK-22883:
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Target Version/s: 2.3.1, 2.4.0
> ML test for StructuredStreaming: spark.ml.feature,
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Apache Spark commented on SPARK-22883:
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User 'jkbradley' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16434219#comment-16434219
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Stanley Poon edited comment on SPARK-23734 at 4/11/18 4:58 PM:
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[~viirya]
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Stanley Poon updated SPARK-23734:
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Environment:
macOS 10.13.2
Scala 2.11.8
Spark 2.3.0 v2.3.0-rc5 (Feb 22 2018)
was:
macOS
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Stanley Poon commented on SPARK-23734:
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[~viirya] Thank you for checking into this. I added the
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Stanley Poon updated SPARK-23734:
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Environment:
macOS 10.13.2
Scala 2.11.8
Spark 2.3.0 v2.3.0-rc5
was:
macOS 10.13.2
Scala
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Marek Novotny commented on SPARK-23936:
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Shouldn't we overload _concat_ function for maps instead
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Bruce Robbins updated SPARK-23963:
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Description:
TableReader gets disproportionately slower as the number of columns in the
query
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Bruce Robbins updated SPARK-23963:
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Description:
TableReader gets disproportionately slower as the number of columns in the
query
Bruce Robbins created SPARK-23963:
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Summary: Queries on text-based Hive tables grow disproportionately
slower as the number of columns increase
Key: SPARK-23963
URL:
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Apache Spark commented on SPARK-23962:
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User 'squito' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23962:
Assignee: Apache Spark
> Flaky tests from SQLMetricsTestUtils.currentExecutionIds
>
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Apache Spark reassigned SPARK-23962:
Assignee: (was: Apache Spark)
> Flaky tests from
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Imran Rashid reassigned SPARK-22941:
Assignee: Marcelo Vanzin
> Allow SparkSubmit to throw exceptions instead of exiting /
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Imran Rashid resolved SPARK-22941.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20925
Imran Rashid created SPARK-23962:
Summary: Flaky tests from SQLMetricsTestUtils.currentExecutionIds
Key: SPARK-23962
URL: https://issues.apache.org/jira/browse/SPARK-23962
Project: Spark
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Imran Rashid updated SPARK-23962:
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Attachment: unit-tests.log
> Flaky tests from SQLMetricsTestUtils.currentExecutionIds
>
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Sam De Backer updated SPARK-23959:
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Description:
The following snippet works fine in Spark 2.2.1 but gives a rather cryptic
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Imran Rashid resolved SPARK-6951.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20952
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Imran Rashid reassigned SPARK-6951:
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Assignee: Marcelo Vanzin
> History server slow startup if the event log directory is large
>
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Tomasz Gawęda commented on SPARK-12105:
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+1, It's a quite common question on StackOverflow: "how to
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Apache Spark reassigned SPARK-12105:
Assignee: Apache Spark
> Add a DataFrame.show() with argument for output PrintStream
>
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Apache Spark reassigned SPARK-12105:
Assignee: (was: Apache Spark)
> Add a DataFrame.show() with argument for output
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Wenchen Fan reassigned SPARK-23960:
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Assignee: Kris Mok
> Mark HashAggregateExec.bufVars as transient
>
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Wenchen Fan resolved SPARK-23960.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21039
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Alex Wajda commented on SPARK-23927:
I will take this one.
Thanks.
> High-order function: sequence
>
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Michel Lemay updated SPARK-23961:
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Issue Type: Bug (was: Improvement)
> pyspark toLocalIterator throws an exception
>
Michel Lemay created SPARK-23961:
Summary: pyspark toLocalIterator throws an exception
Key: SPARK-23961
URL: https://issues.apache.org/jira/browse/SPARK-23961
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-23930:
Assignee: Apache Spark
> High-order function: slice(x, start, length) → array
>
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Apache Spark commented on SPARK-23930:
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User 'mgaido91' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23930?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23930:
Assignee: (was: Apache Spark)
> High-order function: slice(x, start, length) → array
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https://issues.apache.org/jira/browse/SPARK-23951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-23951.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21026
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Apache Spark reassigned SPARK-23960:
Assignee: Apache Spark
> Mark HashAggregateExec.bufVars as transient
>
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Apache Spark reassigned SPARK-23960:
Assignee: (was: Apache Spark)
> Mark HashAggregateExec.bufVars as transient
>
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Apache Spark commented on SPARK-23960:
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User 'rednaxelafx' has created a pull request for this
Kris Mok created SPARK-23960:
Summary: Mark HashAggregateExec.bufVars as transient
Key: SPARK-23960
URL: https://issues.apache.org/jira/browse/SPARK-23960
Project: Spark
Issue Type: Improvement
Sam De Backer created SPARK-23959:
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Summary: UnresolvedException with DataSet created from Seq.empty
since Spark 2.3.0
Key: SPARK-23959
URL: https://issues.apache.org/jira/browse/SPARK-23959
Project:
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Marco Gaido commented on SPARK-23930:
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I am working on this.
> High-order function: slice(x, start,
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Jepson commented on SPARK-22968:
[~apachespark] Thank you very much.
> java.lang.IllegalStateException:
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https://issues.apache.org/jira/browse/SPARK-22968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22968:
Assignee: (was: Apache Spark)
> java.lang.IllegalStateException: No current
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https://issues.apache.org/jira/browse/SPARK-22968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22968:
Assignee: Apache Spark
> java.lang.IllegalStateException: No current assignment for
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https://issues.apache.org/jira/browse/SPARK-22968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16433510#comment-16433510
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Apache Spark commented on SPARK-22968:
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User 'jerryshao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23919:
Assignee: Apache Spark
> High-order function: array_position(x, element) → bigint
>
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https://issues.apache.org/jira/browse/SPARK-23919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16433460#comment-16433460
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Apache Spark commented on SPARK-23919:
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User 'kiszk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-23919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23919:
Assignee: (was: Apache Spark)
> High-order function: array_position(x, element) →
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