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Apache Spark commented on SPARK-10100:
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User 'rxin' has created a pull request for
Xusen Yin created SPARK-10133:
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Summary: loadLibSVMFile fails to detect zero-based lines
Key: SPARK-10133
URL: https://issues.apache.org/jira/browse/SPARK-10133
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-9107:
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Assignee: Apache Spark
Include memory usage for each job stage
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Apache Spark commented on SPARK-9106:
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User 'liyezhang556520' has created a pull
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Apache Spark commented on SPARK-9105:
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User 'liyezhang556520' has created a pull
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Apache Spark commented on SPARK-9107:
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User 'liyezhang556520' has created a pull
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Apache Spark reassigned SPARK-9107:
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Assignee: (was: Apache Spark)
Include memory usage for each job stage
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Apache Spark reassigned SPARK-9106:
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Assignee: Apache Spark
Log the memory usage info into history server
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Apache Spark reassigned SPARK-9105:
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Assignee: (was: Apache Spark)
Add an additional WebUI Tab for Memory Usage
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Apache Spark reassigned SPARK-9105:
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Assignee: Apache Spark
Add an additional WebUI Tab for Memory Usage
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Apache Spark reassigned SPARK-9106:
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Assignee: (was: Apache Spark)
Log the memory usage info into history server
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Xusen Yin commented on SPARK-10133:
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Thanks. I ignored the above line.
loadLibSVMFile
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Apache Spark reassigned SPARK-9089:
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Assignee: Apache Spark
Failing to run simple job on Spark Standalone Cluster
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Silas Davis commented on SPARK-3533:
I've looked at various solutions, and have
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Yin Huai commented on SPARK-9944:
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OK. I guess {{/user/ec2-user/warehouse}} is not the one
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Shivaram Venkataraman resolved SPARK-9982.
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Resolution: Fixed
Fix Version/s: 1.5.0
SparkR DataFrame fail to return
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Shivaram Venkataraman updated SPARK-9982:
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Assignee: Alex Shkurenko
SparkR DataFrame fail to return data of Decimal type
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Shivaram Venkataraman commented on SPARK-9982:
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Resolved by
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Yanbo Liang commented on SPARK-7544:
I can work on it.
pyspark.sql.types.Row should
: Stream Liu
I try to running spark job in docker by mesos-slave.
by i always get ERROR in mesos-slave
E0820 07:46:08.780293 9 slave.cpp:1643] Failed to update resources for
container f2aeb5ee-2419-430c-be7d-8276947b909a of executor
'20150820-064813-1684252864-5050-1-S0' of framework
20150820
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Apache Spark reassigned SPARK-10134:
Assignee: Apache Spark
Improve the performance of Binary Comparison
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Apache Spark commented on SPARK-10134:
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User 'chenghao-intel' has created a pull
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Apache Spark reassigned SPARK-10134:
Assignee: (was: Apache Spark)
Improve the performance of Binary Comparison
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https://issues.apache.org/jira/browse/SPARK-10130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14704513#comment-14704513
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Cheng Hao commented on SPARK-10130:
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Can you change the fix version to 1.5? Lots of
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Yin Huai commented on SPARK-10100:
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How about we leave these functions as is for now
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pin_zhang commented on SPARK-9686:
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What's the status of this bug? will it be fixed in
Adrian Wang created SPARK-10130:
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Summary: type coercion for IF should have children resolved first
Key: SPARK-10130
URL: https://issues.apache.org/jira/browse/SPARK-10130
Project: Spark
Issue
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Yanbo Liang commented on SPARK-9040:
[~vnayak053] The code work well on Spark 1.4. Do
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Sean Owen resolved SPARK-9098.
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Resolution: Duplicate
Target Version/s: (was: 1.6.0)
I agree, I think this is a subset of
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Daniel Pinyol updated SPARK-10067:
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Comment: was deleted
(was: Fixed after upgrading to JDK 1.8.0._60. Probably due to
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ZemingZhao updated SPARK-10132:
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Attachment: xqjmap.live
xqjmap.all
oracle_gclog
attach the gclog and
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Apache Spark commented on SPARK-9089:
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User 'yanboliang' has created a pull request
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Apache Spark reassigned SPARK-9089:
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Assignee: (was: Apache Spark)
Failing to run simple job on Spark Standalone Cluster
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Yanbo Liang edited comment on SPARK-9089 at 8/20/15 9:18 AM:
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Sean Owen commented on SPARK-8805:
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Yeah, I think the problem is your version of bash is
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Sean Owen resolved SPARK-10122.
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Resolution: Not A Problem
I don't think this is a bug. Yes, only the initial RDD is actually a Kafka
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Apache Spark commented on SPARK-10092:
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User 'liancheng' has created a pull request
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Adrian Wang updated SPARK-10130:
Fix Version/s: 1.5.0
type coercion for IF should have children resolved first
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https://issues.apache.org/jira/browse/SPARK-2883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14704534#comment-14704534
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Littlestar commented on SPARK-2883:
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spark 1.4.1: The orc file writer relies on
ZemingZhao created SPARK-10132:
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Summary: daemon crash caused by memory leak
Key: SPARK-10132
URL: https://issues.apache.org/jira/browse/SPARK-10132
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-10134:
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Summary: Improve the performance of Binary Comparison
Key: SPARK-10134
URL: https://issues.apache.org/jira/browse/SPARK-10134
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-10132.
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Resolution: Invalid
I don't think any of this suggests a problem in Spark though, right? You just
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Yanbo Liang updated SPARK-9089:
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Component/s: (was: PySpark)
Spark Core
Failing to run simple job on Spark
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Sean Owen resolved SPARK-10133.
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Resolution: Not A Problem
No, because the indices have already had 1 subtracted from them.
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Yanbo Liang commented on SPARK-9089:
I think this issue is due to failure of
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Xiangrui Meng resolved SPARK-8854.
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Resolution: Duplicate
Documentation for Association Rules
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Yin Huai updated SPARK-10143:
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Component/s: SQL
Parquet changed the behavior of calculating splits
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Yin Huai commented on SPARK-10146:
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One possible way to do it is that every data source
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Yin Huai updated SPARK-10146:
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Issue Type: Improvement (was: Bug)
Have an easy way to set data source reader/writer specific confs
Yin Huai created SPARK-10146:
Summary: Have an easy way to set data source reader/writer
specific confs
Key: SPARK-10146
URL: https://issues.apache.org/jira/browse/SPARK-10146
Project: Spark
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meiyoula updated SPARK-10147:
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Description:
Phenomenon:App still shows in HistoryServer web when the event file has been
deleted on
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meiyoula updated SPARK-10147:
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Summary: App shouldn't show in HistoryServer web when the event file has
been deleted on hdfs (was: App
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Reynold Xin updated SPARK-9983:
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Description:
In distributed query execution, there are two kinds of operators:
(1) operators that
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Saisai Shao commented on SPARK-10122:
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Hi [~aramesh], thanks a lot for pointing this
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Apache Spark commented on SPARK-10122:
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User 'jerryshao' has created a pull request
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Yin Huai edited comment on SPARK-10146 at 8/21/15 3:42 AM:
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One
meiyoula created SPARK-10147:
Summary: App still shows in HistoryServer web when the event file
has been deleted on hdfs
Key: SPARK-10147
URL: https://issues.apache.org/jira/browse/SPARK-10147
Project:
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https://issues.apache.org/jira/browse/SPARK-8467?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706257#comment-14706257
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Hrishikesh commented on SPARK-8467:
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[~yuu.ishik...@gmail.com], are you still working on
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Apache Spark reassigned SPARK-9669:
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Assignee: (was: Apache Spark)
Support PySpark with Mesos Cluster mode
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Apache Spark reassigned SPARK-9669:
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Assignee: Apache Spark
Support PySpark with Mesos Cluster mode
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Apache Spark commented on SPARK-9669:
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User 'tnachen' has created a pull request for
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Xiangrui Meng commented on SPARK-9848:
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No, that would be too much for this release.
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Xiangrui Meng commented on SPARK-8400:
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Sorry for my late reply! We check numBlocks
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Tathagata Das updated SPARK-10137:
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Assignee: Shixiong Zhu
Avoid to restart receivers if scheduleReceivers returns balanced
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Tathagata Das updated SPARK-10137:
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Priority: Critical (was: Major)
Avoid to restart receivers if scheduleReceivers returns
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Baogang Wang edited comment on SPARK-10145 at 8/21/15 3:27 AM:
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Apache Spark reassigned SPARK-10147:
Assignee: (was: Apache Spark)
App shouldn't show in HistoryServer web when the event
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Apache Spark commented on SPARK-10147:
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User 'XuTingjun' has created a pull request
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Apache Spark reassigned SPARK-10147:
Assignee: Apache Spark
App shouldn't show in HistoryServer web when the event file has
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https://issues.apache.org/jira/browse/SPARK-?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706244#comment-14706244
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Reynold Xin commented on SPARK-:
This needs to be designed first. I'm not sure if
Tathagata Das created SPARK-10142:
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Summary: Python checkpoint recovery does not work with non-local
file path
Key: SPARK-10142
URL: https://issues.apache.org/jira/browse/SPARK-10142
Project: Spark
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Andrew Or updated SPARK-10144:
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Summary: Actually show peak execution memory on UI by default (was:
Actually show peak execution
Andrew Or created SPARK-10144:
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Summary: Actually show peak execution memory by default
Key: SPARK-10144
URL: https://issues.apache.org/jira/browse/SPARK-10144
Project: Spark
Issue Type: Bug
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Amit Ramesh reopened SPARK-10122:
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AttributeError: 'RDD' object has no attribute 'offsetRanges'
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Amit Ramesh edited comment on SPARK-10122 at 8/20/15 10:51 AM:
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Sean Owen updated SPARK-10122:
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Priority: Major (was: Critical)
Ah I see now, you are not operating on the transformed stream
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Amit Ramesh commented on SPARK-10122:
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[~srowen] as you can see in the example,
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Sameer Abhyankar commented on SPARK-10015:
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[~josephkb] I have created a common
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Cheng Lian resolved SPARK-10092.
Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8336
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Apache Spark commented on SPARK-8436:
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User 'x1-' has created a pull request for this
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Apache Spark reassigned SPARK-8436:
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Assignee: (was: Apache Spark)
Inconsistent behavior when converting a Timestamp column
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Herman van Hovell commented on SPARK-10100:
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Lets leave it for 1.6.
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Apache Spark commented on SPARK-6196:
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User 'srowen' has created a pull request for
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Virgil Palanciuc commented on SPARK-10109:
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I think I know what caused this -
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Apache Spark reassigned SPARK-8436:
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Assignee: Apache Spark
Inconsistent behavior when converting a Timestamp column to
Romi Kuntsman created SPARK-10135:
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Summary: Percent of pruned partitions is shown wrong
Key: SPARK-10135
URL: https://issues.apache.org/jira/browse/SPARK-10135
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-8580:
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User 'liancheng' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-8580?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8580:
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Assignee: Cheng Lian (was: Apache Spark)
Add Parquet files generated by different systems
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https://issues.apache.org/jira/browse/SPARK-8580?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8580:
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Assignee: Apache Spark (was: Cheng Lian)
Add Parquet files generated by different systems
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https://issues.apache.org/jira/browse/SPARK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10143:
Assignee: (was: Apache Spark)
Parquet changed the behavior of calculating splits
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https://issues.apache.org/jira/browse/SPARK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706045#comment-14706045
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Apache Spark commented on SPARK-10143:
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User 'yhuai' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10143:
Assignee: Apache Spark
Parquet changed the behavior of calculating splits
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https://issues.apache.org/jira/browse/SPARK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-10143:
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Comment: was deleted
(was: For something quick, we can use the row group size set in hadoop conf to
set
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https://issues.apache.org/jira/browse/SPARK-10143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14705988#comment-14705988
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Yin Huai commented on SPARK-10143:
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[~rdblue] Can you confirm the behavior change of
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https://issues.apache.org/jira/browse/SPARK-10144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10144:
Assignee: Apache Spark (was: Andrew Or)
Actually show peak execution memory on UI by
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https://issues.apache.org/jira/browse/SPARK-10144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706033#comment-14706033
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Apache Spark commented on SPARK-10144:
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User 'andrewor14' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-10144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10144:
Assignee: Andrew Or (was: Apache Spark)
Actually show peak execution memory on UI by
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https://issues.apache.org/jira/browse/SPARK-10145?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706139#comment-14706139
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Baogang Wang commented on SPARK-10145:
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the spark-defaults.conf is as follows:
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https://issues.apache.org/jira/browse/SPARK-10145?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14706139#comment-14706139
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Baogang Wang edited comment on SPARK-10145 at 8/21/15 2:34 AM:
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https://issues.apache.org/jira/browse/SPARK-10140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-10140.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8344
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