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Felix Cheung commented on SPARK-18823:
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Yap. I'll start on this shortly.
> Assignation by column
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Saisai Shao commented on SPARK-19179:
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Thanks [~tgraves] to point out the left thing, let me handle
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Hyukjin Kwon resolved SPARK-12076.
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Resolution: Cannot Reproduce
I strongly think no one is going to reproduce this. I tried to
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https://issues.apache.org/jira/browse/SPARK-18693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18693:
Assignee: Apache Spark
> BinaryClassificationEvaluator, RegressionEvaluator, and
>
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Apache Spark reassigned SPARK-18693:
Assignee: (was: Apache Spark)
> BinaryClassificationEvaluator, RegressionEvaluator,
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Apache Spark commented on SPARK-18693:
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User 'imatiach-msft' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-16848?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-16848.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.2.0
> Check schema validation
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:59 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:58 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:54 AM:
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As the detail
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:54 AM:
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As the detail
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Weichen Xu commented on SPARK-10078:
As the detail problems I list above(I only list a small part
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:43 AM:
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[~debasish83]
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https://issues.apache.org/jira/browse/SPARK-19051?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819957#comment-15819957
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Hyukjin Kwon edited comment on SPARK-19051 at 1/12/17 4:36 AM:
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I just
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wangzhihao updated SPARK-19188:
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Description:
Hi, I'm looking for the feature to run spark/scala in script file. The current
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wangzhihao updated SPARK-19188:
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Description:
Hi, I'm looking for the feature to run spark/scala in script file. The current
wangzhihao created SPARK-19188:
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Summary: Run spark in scala as script file, note not just REPL
Key: SPARK-19188
URL: https://issues.apache.org/jira/browse/SPARK-19188
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-19133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-19133:
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Affects Version/s: 2.0.0
Target Version/s: 2.0.3, 2.1.1, 2.2.0 (was: 2.2.0)
Fix
roncenzhao created SPARK-19187:
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Summary: querying from parquet partitioned table throws
FileNotFoundException when some partitions' hdfs locations do not exist
Key: SPARK-19187
URL:
Adrian Schulewitz created SPARK-19186:
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Summary: Hash symbol in middle of Sybase database table name
causes Spark Exception
Key: SPARK-19186
URL: https://issues.apache.org/jira/browse/SPARK-19186
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 3:02 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:55 AM:
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[~debasish83]
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https://issues.apache.org/jira/browse/SPARK-14901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819984#comment-15819984
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Brent Elmer commented on SPARK-14901:
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Netezza is an IBM product so there is no place to download it
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:48 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:45 AM:
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[~debasish83]
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Weichen Xu commented on SPARK-10078:
[~debasish83] But when we implement VF-LBFGS/VF-OWLQN base on
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Hyukjin Kwon commented on SPARK-19051:
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I just if this JIRA says a flaky test or a constantly
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Hyukjin Kwon resolved SPARK-17923.
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Resolution: Duplicate
This should be fixed in 2.0.1 and 2.1.0.
> dateFormat unexpected kwarg
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Apache Spark reassigned SPARK-19184:
Assignee: Apache Spark
> Improve numerical stability for method tallSkinnyQR.
>
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Apache Spark reassigned SPARK-19184:
Assignee: (was: Apache Spark)
> Improve numerical stability for method tallSkinnyQR.
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https://issues.apache.org/jira/browse/SPARK-19184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819941#comment-15819941
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Apache Spark commented on SPARK-19184:
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User 'hl475' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819926#comment-15819926
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Hyukjin Kwon commented on SPARK-15407:
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Hi [~hvanhovell], I just wonder if we should resolve this as
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Hyukjin Kwon resolved SPARK-15251.
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Resolution: Cannot Reproduce
{code}
>>> def timesTwo(x):
... return x * 2
...
>>>
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Hyukjin Kwon commented on SPARK-14901:
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Would this be possible to provide a self-contained
Kalvin Chau created SPARK-19185:
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Summary: ConcurrentModificationExceptions with
CachedKafkaConsumers when Windowing
Key: SPARK-19185
URL: https://issues.apache.org/jira/browse/SPARK-19185
Project:
Huamin Li created SPARK-19184:
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Summary: Improve numerical stability for method tallSkinnyQR.
Key: SPARK-19184
URL: https://issues.apache.org/jira/browse/SPARK-19184
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-13303?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819894#comment-15819894
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Hyukjin Kwon commented on SPARK-13303:
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+1
> Spark fails with pandas import error when pandas is
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https://issues.apache.org/jira/browse/SPARK-12717?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819883#comment-15819883
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Hyukjin Kwon commented on SPARK-12717:
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It still happens in the current master.
> pyspark broadcast
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Hyukjin Kwon resolved SPARK-11428.
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Resolution: Duplicate
I am pretty sure that it is a duplicate of SPARK-11103. Please reopen
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https://issues.apache.org/jira/browse/SPARK-8128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-8128.
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Resolution: Duplicate
I am pretty sure that it duplicates SPARK-11103. Please reopen this if
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Weichen Xu commented on SPARK-10078:
[~debasish83] Can L-BFGS-B be distributed computed when scaled
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Reynold Xin commented on SPARK-19164:
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Which one should I review? I see that you opened a bunch of
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https://issues.apache.org/jira/browse/SPARK-19115?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819716#comment-15819716
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Xiaochen Ouyang commented on SPARK-19115:
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May I ask you whether Spark supports the following
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Apache Spark reassigned SPARK-19180:
Assignee: Apache Spark
> the offset of short is 4 in OffHeapColumnVector's putShorts
>
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Apache Spark reassigned SPARK-19180:
Assignee: (was: Apache Spark)
> the offset of short is 4 in OffHeapColumnVector's
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https://issues.apache.org/jira/browse/SPARK-19180?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819634#comment-15819634
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Apache Spark commented on SPARK-19180:
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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-19183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819623#comment-15819623
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Apache Spark commented on SPARK-19183:
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User 'ericl' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19183?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19183:
Assignee: (was: Apache Spark)
> Add deleteWithJob hook to internal commit protocol
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Apache Spark reassigned SPARK-19183:
Assignee: Apache Spark
> Add deleteWithJob hook to internal commit protocol API
>
Eric Liang created SPARK-19183:
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Summary: Add deleteWithJob hook to internal commit protocol API
Key: SPARK-19183
URL: https://issues.apache.org/jira/browse/SPARK-19183
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-19182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-19182:
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Summary: Optimize the lock in StreamingJobProgressListener to not block UI
when generating
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Shixiong Zhu updated SPARK-19182:
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Description:
When DStreamGraph is generating a job, it will hold a lock and block other
APIs.
Shixiong Zhu created SPARK-19182:
Summary: Optimize the lock in StreamingJobProgressListener to not
block when generating Streaming jobs
Key: SPARK-19182
URL: https://issues.apache.org/jira/browse/SPARK-19182
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Reynold Xin resolved SPARK-19132.
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Resolution: Fixed
Fix Version/s: 2.2.0
> Add test cases for row size estimation
>
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Shivaram Venkataraman commented on SPARK-18823:
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Yeah I think it makes sense to not handle
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yucai commented on SPARK-19180:
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Hi Owen,
Thanks a lot for comments, it is using unsafe API for
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Herman van Hovell resolved SPARK-18801.
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Resolution: Fixed
Assignee: Jiang Xingbo
> Support resolve a nested view
>
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Shivaram Venkataraman resolved SPARK-19130.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 2.2.0
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https://issues.apache.org/jira/browse/SPARK-19177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819260#comment-15819260
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Shivaram Venkataraman commented on SPARK-19177:
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Thanks [~masip85] - Can you include a
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Jose Soltren commented on SPARK-19181:
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SPARK-2208 disabled a similar metric previously.
>
Jose Soltren created SPARK-19181:
Summary: SparkListenerSuite.local metrics fails when average
executorDeserializeTime is too short.
Key: SPARK-19181
URL: https://issues.apache.org/jira/browse/SPARK-19181
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Apache Spark reassigned SPARK-9435:
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Assignee: Apache Spark
> Java UDFs don't work with GROUP BY expressions
>
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Apache Spark reassigned SPARK-9435:
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Assignee: (was: Apache Spark)
> Java UDFs don't work with GROUP BY expressions
>
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Apache Spark commented on SPARK-9435:
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User 'HyukjinKwon' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19180?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819073#comment-15819073
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Sean Owen commented on SPARK-19180:
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Are you sure? most stuff is int aligned in the JVM. You might be
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https://issues.apache.org/jira/browse/SPARK-17136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819062#comment-15819062
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Seth Hendrickson commented on SPARK-17136:
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I'm interested in working on this task including
yucai created SPARK-19180:
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Summary: the offset of short is 4 in OffHeapColumnVector's
putShorts
Key: SPARK-19180
URL: https://issues.apache.org/jira/browse/SPARK-19180
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-17568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-17568.
Resolution: Fixed
Assignee: Bryan Cutler
Fix Version/s: 2.2.0
> Add
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https://issues.apache.org/jira/browse/SPARK-18075?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818849#comment-15818849
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Dan commented on SPARK-18075:
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If he is running into the same issue with spark-shell, which is one of the
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Apache Spark reassigned SPARK-19152:
Assignee: Apache Spark
> DataFrameWriter.saveAsTable should work with hive format with
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Apache Spark commented on SPARK-19152:
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User 'windpiger' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19152:
Assignee: (was: Apache Spark)
> DataFrameWriter.saveAsTable should work with hive
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Sean Owen commented on SPARK-18075:
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Yes, spark-shell is submitted the same way. If you wrote some code
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nirav patel commented on SPARK-19090:
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[~q79969786] As I mentioned in previous comment it does work
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Shuai Lin commented on SPARK-17101:
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Seems this issue has already been resolved by
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Nick Orka commented on SPARK-18075:
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This is really cool conversation, but how about if I run it in
Thomas Graves created SPARK-19179:
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Summary: spark.yarn.access.namenodes description is wrong
Key: SPARK-19179
URL: https://issues.apache.org/jira/browse/SPARK-19179
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-19169?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818635#comment-15818635
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roncenzhao commented on SPARK-19169:
I have the two doubts:
1. In the method
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Thomas Graves resolved SPARK-19021.
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Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.2.0
> Generailize
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Sean Owen commented on SPARK-19169:
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It sounds like you're saying you read the data with the wrong
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Sean Owen commented on SPARK-13198:
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I think that's up to you if you're interested in this? it's not
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Sean Owen commented on SPARK-18075:
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It's possible in many cases already and always has been.
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roncenzhao commented on SPARK-19169:
I do not think this is a misusage of ORC.
If we do not set the
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Wenchen Fan commented on SPARK-18075:
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Although it's not a bug, I think this could be a very cool
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Michael David Pedersen commented on SPARK-18075:
I'm encountering this problem too, in
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Dmytro Bielievtsov edited comment on SPARK-13198 at 1/11/17 2:38 PM:
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Dmytro Bielievtsov commented on SPARK-13198:
[~srowen] Looks like a growing number of people
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https://issues.apache.org/jira/browse/SPARK-19132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818492#comment-15818492
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Apache Spark commented on SPARK-19132:
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User 'wzhfy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19132:
Assignee: Zhenhua Wang (was: Apache Spark)
> Add test cases for row size estimation
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https://issues.apache.org/jira/browse/SPARK-19178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19178:
Assignee: Wenchen Fan (was: Apache Spark)
> convert string of large numbers to int
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https://issues.apache.org/jira/browse/SPARK-19132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19132:
Assignee: Apache Spark (was: Zhenhua Wang)
> Add test cases for row size estimation
>
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https://issues.apache.org/jira/browse/SPARK-19178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818477#comment-15818477
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Apache Spark commented on SPARK-19178:
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User 'cloud-fan' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19178:
Assignee: Apache Spark (was: Wenchen Fan)
> convert string of large numbers to int
Wenchen Fan created SPARK-19178:
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Summary: convert string of large numbers to int should return null
Key: SPARK-19178
URL: https://issues.apache.org/jira/browse/SPARK-19178
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19151?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818366#comment-15818366
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Apache Spark commented on SPARK-19151:
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User 'windpiger' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19151:
Assignee: Apache Spark
> DataFrameWriter.saveAsTable should work with hive format with
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https://issues.apache.org/jira/browse/SPARK-19151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19151:
Assignee: (was: Apache Spark)
> DataFrameWriter.saveAsTable should work with hive
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https://issues.apache.org/jira/browse/SPARK-19175?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818344#comment-15818344
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Sean Owen commented on SPARK-19175:
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No, continue on the JIRA I left open, SPARK-19169. This sounds
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https://issues.apache.org/jira/browse/SPARK-19158?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15818300#comment-15818300
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Apache Spark commented on SPARK-19158:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19158:
Assignee: (was: Apache Spark)
> ml.R example fails in yarn-cluster mode due to lacks
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