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Dongjoon Hyun commented on SPARK-15285:
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Hi, [~cloud_fan]
Could you resolve this issue please?
>
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Apache Spark reassigned SPARK-17180:
Assignee: Apache Spark
> Unable to Alter the Temporary View Using ALTER VIEW command
>
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Apache Spark reassigned SPARK-17180:
Assignee: (was: Apache Spark)
> Unable to Alter the Temporary View Using ALTER VIEW
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Apache Spark commented on SPARK-17180:
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User 'gatorsmile' has created a pull request for this issue:
Xiao Li created SPARK-17180:
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Summary: Unable to Alter the Temporary View Using ALTER VIEW
command
Key: SPARK-17180
URL: https://issues.apache.org/jira/browse/SPARK-17180
Project: Spark
Issue
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DjvuLee commented on SPARK-3630:
How much data do you test? we encounter this error in our production.
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DjvuLee commented on SPARK-3630:
How much data do you test? we encounter this error in our production.
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DjvuLee edited comment on SPARK-3630 at 8/22/16 7:10 AM:
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Can I know how much data
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DjvuLee updated SPARK-3630:
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Comment: was deleted
(was: How much data do you test? we encounter this error in our production.
Our data
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marymwu commented on SPARK-5770:
Hey, we have ran into the same issue too. We try to fix this but failed.
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Wenchen Fan resolved SPARK-15285.
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Resolution: Fixed
Fix Version/s: (was: 2.0.0)
2.1.0
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Sean Owen commented on SPARK-17168:
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It's a tough call. I can imagine for example a process ingesting
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Apache Spark commented on SPARK-17090:
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User 'hqzizania' has created a pull request for this issue:
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Sean Owen resolved SPARK-17127.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14700
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Sean Owen updated SPARK-17127:
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Assignee: Richael Zhuang
> Include AArch64 in the check of cached unaligned-access capability
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Apache Spark commented on SPARK-17086:
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User 'VinceShieh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17086:
Assignee: (was: Apache Spark)
> QuantileDiscretizer throws InvalidArgumentException
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Apache Spark reassigned SPARK-17086:
Assignee: Apache Spark
> QuantileDiscretizer throws InvalidArgumentException (parameter
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Dongjoon Hyun commented on SPARK-15285:
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Thank you!
> Generated SpecificSafeProjection.apply
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Sean Owen resolved SPARK-17172.
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Resolution: Duplicate
That sounds like exactly the same issue. You're missing /tmp or can't see it
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Sean Owen commented on SPARK-17143:
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This sounds like an HDFS environment problem then. This dir would
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Wenchen Fan resolved SPARK-17115.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Yanbo Liang commented on SPARK-17169:
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Meanwhile, it's better we can do compile time code-gen for
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Alexander Bij commented on SPARK-10925:
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We also encountered this issue using with (HDP 2.4.2.0)
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Alexander Bij edited comment on SPARK-10925 at 8/22/16 8:29 AM:
We also
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Sean Owen updated SPARK-17085:
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Assignee: Jagadeesan A S
> Documentation and actual code differs - Unsupported Operations
>
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Sean Owen resolved SPARK-17085.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Resolved by
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Alexander Bij commented on SPARK-10925:
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Relates to issue SPARK-14948 (Exception joining same DF)
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Steve Loughran updated SPARK-17179:
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Affects Version/s: 2.0.0
Priority: Major (was: Critical)
Description:
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Cody Koeninger commented on SPARK-17147:
My point is more that this probably isn't just two lines
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Wenchen Fan edited comment on SPARK-14948 at 8/22/16 2:38 PM:
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Can you check
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Xiang Gao commented on SPARK-17185:
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Changing API is a bad idea and we should not do this.
Maybe these
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Wenchen Fan commented on SPARK-14948:
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actually `registerDataFrameAsTable` registers the dataframe as
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Wenchen Fan commented on SPARK-14948:
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Can you double check it? I converted your code snippet into
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Xiang Gao updated SPARK-17185:
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Description:
In {{RDD}}, {{groupByKey}} is used to generate a key-list pair and
{{aggregateByKey}}
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Xiang Gao edited comment on SPARK-17185 at 8/22/16 2:59 PM:
Changing API is a
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Andrew Davidson commented on SPARK-17172:
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Hi Sean
It should be very easy to use the attached
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Sean Owen commented on SPARK-17172:
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It shows this error:
You must build Spark with Hive. Export
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Apache Spark commented on SPARK-17187:
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User 'clockfly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17187:
Assignee: (was: Apache Spark)
> Support using arbitrary Java object as internal
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Sital Kedia commented on SPARK-17164:
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Thanks [~rxin], [~hvanhovell], that makes sense. The issue is
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Sital Kedia closed SPARK-17164.
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Resolution: Won't Fix
> Query with colon in the table name fails to parse in 2.0
>
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Apache Spark reassigned SPARK-17187:
Assignee: Apache Spark
> Support using arbitrary Java object as internal aggregation
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Biao Ma commented on SPARK-16593:
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I had made new commits.
> Provide a pre-fetch mechanism to accelerate
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Apache Spark reassigned SPARK-17183:
Assignee: Apache Spark (was: Wenchen Fan)
> put hive serde table schema to table
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Sergey Semichev commented on SPARK-7493:
Good to know, thanks
> ALTER TABLE statement
>
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Sergey Semichev closed SPARK-7493.
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Resolution: Fixed
> ALTER TABLE statement
> -
>
> Key:
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Apache Spark commented on SPARK-17183:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17183:
Assignee: Wenchen Fan (was: Apache Spark)
> put hive serde table schema to table
Xiang Gao created SPARK-17185:
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Summary: Unify naming of API for RDD and Dataset
Key: SPARK-17185
URL: https://issues.apache.org/jira/browse/SPARK-17185
Project: Spark
Issue Type: Improvement
Guoqiang Li created SPARK-17184:
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Summary: Replace ByteBuf with InputStream
Key: SPARK-17184
URL: https://issues.apache.org/jira/browse/SPARK-17184
Project: Spark
Issue Type: Sub-task
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Sean Owen updated SPARK-17185:
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Priority: Minor (was: Major)
I know what you mean, but is there a way to do this without changing the
Wenchen Fan created SPARK-17183:
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Summary: put hive serde table schema to table properties like data
source table
Key: SPARK-17183
URL: https://issues.apache.org/jira/browse/SPARK-17183
Project: Spark
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Sean Owen commented on SPARK-17184:
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Before opening JIRAs, could you please respond to the request for
Wenchen Fan created SPARK-17186:
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Summary: remove catalog table type INDEX
Key: SPARK-17186
URL: https://issues.apache.org/jira/browse/SPARK-17186
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-17184:
Assignee: Apache Spark
> Replace ByteBuf with InputStream
>
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Apache Spark commented on SPARK-17184:
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User 'witgo' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17184:
Assignee: (was: Apache Spark)
> Replace ByteBuf with InputStream
>
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Apache Spark reassigned SPARK-17178:
Assignee: (was: Apache Spark)
> Allow to set sparkr shell command through --conf
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Apache Spark reassigned SPARK-17178:
Assignee: Apache Spark
> Allow to set sparkr shell command through --conf
>
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Apache Spark commented on SPARK-17178:
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User 'zjffdu' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430813#comment-15430813
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Apache Spark commented on SPARK-17186:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17186:
Assignee: Apache Spark (was: Wenchen Fan)
> remove catalog table type INDEX
>
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Dongjoon Hyun commented on SPARK-7493:
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Thank you!
> ALTER TABLE statement
> -
>
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Apache Spark reassigned SPARK-17186:
Assignee: Wenchen Fan (was: Apache Spark)
> remove catalog table type INDEX
>
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Thomas Graves commented on SPARK-17181:
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check your log files to see if you see something like:
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Thomas Graves commented on SPARK-16914:
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that is considered a fatal issue for the nodemanager and
Sean Zhong created SPARK-17187:
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Summary: Support using arbitrary Java object as internal
aggregation buffer object
Key: SPARK-17187
URL: https://issues.apache.org/jira/browse/SPARK-17187
Project: Spark
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Sean Zhong updated SPARK-17187:
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Description:
*Background*
For aggregation functions like sum and count, Spark-Sql internally use an
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Sean Zhong updated SPARK-17187:
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Description:
*Background*
For aggregation functions like sum and count, Spark-Sql internally use an
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Sean Zhong updated SPARK-17188:
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Description: org.apache.spark.sql.execution.stat
> Moves QuantileSummaries to project catalyst from
Sean Zhong created SPARK-17188:
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Summary: Moves QuantileSummaries to project catalyst from sql so
that it can be used to implement percentile_approx
Key: SPARK-17188
URL:
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Sean Zhong updated SPARK-17188:
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Description:
QuantileSummaries is a useful utility class to do statistics. It can be used by
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Sean Zhong commented on SPARK-16283:
Created a sub-task to move QuantileSummaries to package
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Sean Zhong edited comment on SPARK-16283 at 8/22/16 4:35 PM:
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Created a
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Jonathan Alvarado commented on SPARK-17110:
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Is there a workaround for this issue? I'm
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Sean Owen commented on SPARK-15044:
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The use case here is that someone or something deleted some data
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Nick Pentreath updated SPARK-15113:
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Priority: Minor (was: Major)
> Add missing numFeatures & numClasses to wrapped
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Nick Pentreath updated SPARK-15113:
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Assignee: holdenk
> Add missing numFeatures & numClasses to wrapped JavaClassificationModel
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Apache Spark reassigned SPARK-16781:
Assignee: Apache Spark
> java launched by PySpark as gateway may not be the same java
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Apache Spark commented on SPARK-16781:
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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-10110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath closed SPARK-10110.
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Resolution: Duplicate
> StringIndexer lacks of parameter "handleInvalid".
>
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Alexander Bij commented on SPARK-14948:
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We encountered the same issue with Spark 1.6.1.
I have
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Semet updated SPARK-16367:
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Description:
*Rational*
Is it recommended, in order to deploying Scala packages written in Scala, to
build
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Sean Owen commented on SPARK-17055:
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Yes, I understand how model fitting works. If a label is present
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Sean Owen commented on SPARK-17055:
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The model will always have 0% accuracy on CV / test data whose
IMG_1462.DOCM
Description: IMG_1462.DOCM
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Nick Pentreath resolved SPARK-15113.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 12889
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https://issues.apache.org/jira/browse/SPARK-17182?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430532#comment-15430532
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Apache Spark commented on SPARK-17182:
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User 'liancheng' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17182:
Assignee: Apache Spark (was: Cheng Lian)
> CollectList and CollectSet should be marked
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https://issues.apache.org/jira/browse/SPARK-17182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17182:
Assignee: Cheng Lian (was: Apache Spark)
> CollectList and CollectSet should be marked
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https://issues.apache.org/jira/browse/SPARK-17181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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marymwu updated SPARK-17181:
Attachment: job1000-2.png
job1000-1.png
> [Spark2.0 web ui]The status of the certain jobs
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https://issues.apache.org/jira/browse/SPARK-16781?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16781:
Assignee: (was: Apache Spark)
> java launched by PySpark as gateway may not be the
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https://issues.apache.org/jira/browse/SPARK-17148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430402#comment-15430402
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Saisai Shao commented on SPARK-17148:
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I manually verified this by explicitly throwing the
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https://issues.apache.org/jira/browse/SPARK-16970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16970.
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Resolution: Not A Problem
> [spark2.0] spark2.0 doesn't catch the java exception thrown by reflect
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https://issues.apache.org/jira/browse/SPARK-17168?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430444#comment-15430444
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Takeshi Yamamuro commented on SPARK-17168:
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Seems it is reasonable that Spark writes a header
Cheng Lian created SPARK-17182:
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Summary: CollectList and CollectSet should be marked as
non-deterministic
Key: SPARK-17182
URL: https://issues.apache.org/jira/browse/SPARK-17182
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-11215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang reassigned SPARK-11215:
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Assignee: Yanbo Liang
> Add multiple columns support to StringIndexer
>
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https://issues.apache.org/jira/browse/SPARK-17055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430381#comment-15430381
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Vincent commented on SPARK-17055:
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well, a better model will have a better cv performance on data with
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https://issues.apache.org/jira/browse/SPARK-17055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15430381#comment-15430381
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Vincent edited comment on SPARK-17055 at 8/22/16 9:14 AM:
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well, a better model
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