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Apache Spark commented on SPARK-22165:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-22165:
Assignee: Apache Spark
> Type conflicts between dates, timestamps and date in partition
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Apache Spark reassigned SPARK-22165:
Assignee: (was: Apache Spark)
> Type conflicts between dates, timestamps and date in
Hyukjin Kwon created SPARK-22165:
Summary: Type conflicts between dates, timestamps and date in
partition column
Key: SPARK-22165
URL: https://issues.apache.org/jira/browse/SPARK-22165
Project: Spark
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Reynold Xin resolved SPARK-22160.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Allow changing sample points per partition in
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Reynold Xin closed SPARK-15687.
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Resolution: Later
Actually closing this, since with whole-stage code generation, it's unclear
what
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jackyoh commented on SPARK-18935:
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It's clear to me now.
Thank you for your kind assistance.
> Use
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Takeshi Yamamuro closed SPARK-21971.
Resolution: Not A Problem
> Too many open files in Spark due to concurrent files being
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Sean Owen resolved SPARK-21999.
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Resolution: Not A Problem
> ConcurrentModificationException - Spark Streaming
>
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Sean Owen commented on SPARK-21999:
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How would Spark do this synchronously w.r.t your app -- how can it
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Sean Owen resolved SPARK-22163.
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Resolution: Duplicate
Please don't fork the issue. This is not a bug.
> Design Issue of Spark
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Hyukjin Kwon commented on SPARK-21190:
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Will keep in mind and suggest to fix it or fix it by myself
Ron Hu created SPARK-22164:
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Summary: support histogram in estimating the cardinality of
aggregate (or group-by) operator
Key: SPARK-22164
URL: https://issues.apache.org/jira/browse/SPARK-22164
Project:
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Reynold Xin commented on SPARK-21190:
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OK it would be great to have a better error message, e.g.
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Hyukjin Kwon edited comment on SPARK-21190 at 9/29/17 12:33 AM:
[~rxin],
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Hyukjin Kwon commented on SPARK-21190:
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[~rxin], I suggested to disallow it
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Reynold Xin commented on SPARK-21190:
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Where did we settle on 0-arg UDFs? I think we should just
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Michael N commented on SPARK-21999:
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Thanks Shixiong Zhu for tracking this issue to
Michael N created SPARK-22163:
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Summary: Design Issue of Spark Streaming that Causes Random
Run-time Exception
Key: SPARK-22163
URL: https://issues.apache.org/jira/browse/SPARK-22163
Project: Spark
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Apache Spark reassigned SPARK-22162:
Assignee: Apache Spark
> Executors and the driver use inconsistent Job IDs during the new
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Apache Spark reassigned SPARK-22162:
Assignee: (was: Apache Spark)
> Executors and the driver use inconsistent Job IDs
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Apache Spark commented on SPARK-22162:
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User 'rezasafi' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22160:
Assignee: Reynold Xin (was: Apache Spark)
> Allow changing sample points per partition
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Apache Spark reassigned SPARK-22160:
Assignee: Apache Spark (was: Reynold Xin)
> Allow changing sample points per partition
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Reza Safi updated SPARK-22162:
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Summary: Executors and the driver should use inconsistent Job IDs during
the new RDD commit protocol
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Reza Safi updated SPARK-22162:
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Summary: Executors and the driver use inconsistent Job IDs during the new
RDD commit protocol (was:
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Apache Spark commented on SPARK-22160:
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User 'rxin' has created a pull request for this issue:
Reza Safi created SPARK-22162:
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Summary: Executors and the driver use inconsistent Job IDs during
the new RDD commit protocol
Key: SPARK-22162
URL: https://issues.apache.org/jira/browse/SPARK-22162
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Reza Safi commented on SPARK-22162:
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I will send a pull request shortly for this issue.
> Executors
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Randy Tidd commented on SPARK-18660:
I am experiencing this problem now. However, it occurs at a
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Stavros Kontopoulos commented on SPARK-18935:
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Using a principal does not make any
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Apache Spark reassigned SPARK-22161:
Assignee: Apache Spark (was: Xiao Li)
> Add Impala-modified TPC-DS queries
>
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Apache Spark reassigned SPARK-22161:
Assignee: Xiao Li (was: Apache Spark)
> Add Impala-modified TPC-DS queries
>
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Apache Spark commented on SPARK-22161:
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User 'gatorsmile' has created a pull request for this issue:
Xiao Li created SPARK-22161:
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Summary: Add Impala-modified TPC-DS queries
Key: SPARK-22161
URL: https://issues.apache.org/jira/browse/SPARK-22161
Project: Spark
Issue Type: Test
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Apache Spark reassigned SPARK-11034:
Assignee: (was: Apache Spark)
> Launcher: add support for monitoring Mesos apps
>
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Apache Spark commented on SPARK-11034:
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User 'devaraj-kavali' has created a pull request for this
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Apache Spark reassigned SPARK-11034:
Assignee: Apache Spark
> Launcher: add support for monitoring Mesos apps
>
Reynold Xin created SPARK-22160:
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Summary: Allow changing sample points per partition in range
shuffle exchange
Key: SPARK-22160
URL: https://issues.apache.org/jira/browse/SPARK-22160
Project: Spark
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Apache Spark reassigned SPARK-22159:
Assignee: Apache Spark (was: Reynold Xin)
> spark.sql.execution.arrow.enable and
>
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Apache Spark reassigned SPARK-22159:
Assignee: Reynold Xin (was: Apache Spark)
> spark.sql.execution.arrow.enable and
>
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Apache Spark commented on SPARK-22159:
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User 'rxin' has created a pull request for this issue:
Reynold Xin created SPARK-22159:
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Summary: spark.sql.execution.arrow.enable and
spark.sql.codegen.aggregate.map.twolevel.enable -> enabled
Key: SPARK-22159
URL: https://issues.apache.org/jira/browse/SPARK-22159
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Dongjoon Hyun updated SPARK-11412:
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Affects Version/s: 1.6.3
2.0.0
2.2.0
> Support
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 6:20 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 6:20 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 6:17 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 6:16 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 6:16 PM:
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Stavros Kontopoulos commented on SPARK-18935:
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I verified the example and error is the same
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Apache Spark reassigned SPARK-20643:
Assignee: (was: Apache Spark)
> Implement listener for saving application status data
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Apache Spark reassigned SPARK-20643:
Assignee: Apache Spark
> Implement listener for saving application status data in
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Apache Spark commented on SPARK-20643:
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User 'vanzin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22158:
Assignee: (was: Apache Spark)
> convertMetastoreOrc should not ignore table
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Apache Spark commented on SPARK-22158:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-22158:
Assignee: Apache Spark
> convertMetastoreOrc should not ignore table properties
>
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Wenchen Fan commented on SPARK-22152:
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I don't have a strong opinion, if someone already has a PR, I
Dongjoon Hyun created SPARK-22158:
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Summary: convertMetastoreOrc should not ignore table properties
Key: SPARK-22158
URL: https://issues.apache.org/jira/browse/SPARK-22158
Project: Spark
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Herman van Hovell updated SPARK-22143:
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Fix Version/s: 2.2.1
> OffHeapColumnVector may leak memory
>
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Drew Robb commented on SPARK-22152:
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There is also a ticket for adding it to RDD:
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Imran Rashid updated SPARK-22074:
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Component/s: Scheduler
> Task killed by other attempt task should not be resubmitted
>
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Imran Rashid updated SPARK-22074:
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Labels: speculation (was: )
> Task killed by other attempt task should not be resubmitted
>
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 2:12 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 2:11 PM:
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Apache Spark reassigned SPARK-18016:
Assignee: Apache Spark (was: Aleksander Eskilson)
> Code Generation: Constant Pool Past
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Apache Spark reassigned SPARK-18016:
Assignee: Aleksander Eskilson (was: Apache Spark)
> Code Generation: Constant Pool Past
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Kazuaki Ishizaki commented on SPARK-18016:
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Thank you for reporting this again.
While I pinged
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Andrew Ash reopened SPARK-18016:
// reopening issue
One PR addressing this bug has been merged --
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 1:13 PM:
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Apache Spark commented on SPARK-10884:
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User 'WeichenXu123' has created a pull request for this
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Thomas Graves commented on SPARK-21737:
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We definitely still want to do this. I don't think
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Thomas Graves updated SPARK-22151:
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Description:
Running in yarn cluster mode and trying to set pythonpath via
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Sean Owen commented on SPARK-22157:
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This is invalid. A UNIX timestamp is in whole seconds.
> The
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Apache Spark reassigned SPARK-22157:
Assignee: (was: Apache Spark)
> The uniux_timestamp method handles the time field
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Apache Spark commented on SPARK-22157:
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User 'httfighter' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22157:
Assignee: Apache Spark
> The uniux_timestamp method handles the time field that is lost
hantiantian created SPARK-22157:
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Summary: The uniux_timestamp method handles the time field that is
lost in mill
Key: SPARK-22157
URL: https://issues.apache.org/jira/browse/SPARK-22157
Project: Spark
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 12:19 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 12:13 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 12:00 PM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:58 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:58 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:58 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:47 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:46 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:26 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:25 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:24 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:24 AM:
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https://issues.apache.org/jira/browse/SPARK-18935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16184025#comment-16184025
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:23 AM:
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Stavros Kontopoulos edited comment on SPARK-18935 at 9/28/17 11:23 AM:
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Stavros Kontopoulos commented on SPARK-18935:
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I tested this a while ago and stuck here:
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https://issues.apache.org/jira/browse/SPARK-22152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16183996#comment-16183996
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Sean Owen commented on SPARK-22152:
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(It does not have a flatten method. I was suggesting it makes
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https://issues.apache.org/jira/browse/SPARK-22152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16183989#comment-16183989
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Wenchen Fan commented on SPARK-22152:
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if RDD has flatten, I'm ok to add it to Dataset.
> Add
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https://issues.apache.org/jira/browse/SPARK-22156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-22156:
Assignee: (was: Apache Spark)
> incorrect learning rate update equation when
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Apache Spark commented on SPARK-22156:
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User 'nzw0301' has created a pull request for this issue:
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Apache Spark reassigned SPARK-22156:
Assignee: Apache Spark
> incorrect learning rate update equation when numIterations > 1
>
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kento nozawa updated SPARK-22156:
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Description:
Current equation of learning rate is incorrect when numIterations > 1.
Original
kento nozawa created SPARK-22156:
Summary: incorrect learning rate update equation when
numIterations > 1
Key: SPARK-22156
URL: https://issues.apache.org/jira/browse/SPARK-22156
Project: Spark
Lijia Liu created SPARK-22155:
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Summary: Generates a simple default alias for the function in
select
Key: SPARK-22155
URL: https://issues.apache.org/jira/browse/SPARK-22155
Project: Spark
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