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Apache Spark reassigned SPARK-19641:
Assignee: (was: Apache Spark)
> JSON schema inference in DROPMALFORMED mode produces
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Apache Spark reassigned SPARK-19641:
Assignee: Apache Spark
> JSON schema inference in DROPMALFORMED mode produces incorrect
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Apache Spark commented on SPARK-19641:
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User 'HyukjinKwon' has created a pull request for this
Yash Sharma created SPARK-20168:
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Summary: Enable kinesis to start stream from Initial position
specified by a timestamp
Key: SPARK-20168
URL: https://issues.apache.org/jira/browse/SPARK-20168
Project:
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Apache Spark reassigned SPARK-20167:
Assignee: (was: Apache Spark)
> In SqlBase.g4,some of the comments is not correct.
>
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Apache Spark reassigned SPARK-20167:
Assignee: Apache Spark
> In SqlBase.g4,some of the comments is not correct.
>
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Apache Spark commented on SPARK-20167:
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User 'guoxiaolongzte' has created a pull request for this
guoxiaolongzte created SPARK-20167:
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Summary: In SqlBase.g4,some of the comments is not correct.
Key: SPARK-20167
URL: https://issues.apache.org/jira/browse/SPARK-20167
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-20139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950244#comment-15950244
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Genmao Yu commented on SPARK-20139:
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The event queue exceeds its capacity, so new events will be
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Li Jin commented on SPARK-20144:
Ping, anyone? This is a pretty big blocker for us.
> spark.read.parquet
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Apache Spark reassigned SPARK-20166:
Assignee: (was: Apache Spark)
> Use XXX for ISO timezone instead of ZZ which is
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Apache Spark commented on SPARK-20166:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-20166:
Assignee: Apache Spark
> Use XXX for ISO timezone instead of ZZ which is FastDateFormat
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Hyukjin Kwon resolved SPARK-20152.
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Resolution: Invalid
I opened a JIRA for replacing {{ZZ}} to {{XXX}} - SPARK-20166.
It seems
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Hyukjin Kwon updated SPARK-20166:
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Description:
We can use {{XXX}} format instead of {{ZZ}}. {{ZZ}} seems a {{FastDateFormat}}
Hyukjin Kwon created SPARK-20166:
Summary: Use XXX for ISO timezone instead of ZZ which is
FastDateFormat specific in CSV/JSON time related options
Key: SPARK-20166
URL:
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https://issues.apache.org/jira/browse/SPARK-20152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950149#comment-15950149
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Hyukjin Kwon edited comment on SPARK-20152 at 3/31/17 1:39 AM:
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I think the
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Hyukjin Kwon edited comment on SPARK-20152 at 3/31/17 1:38 AM:
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I think the
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Hyukjin Kwon edited comment on SPARK-20152 at 3/31/17 1:36 AM:
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I think the
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Hyukjin Kwon edited comment on SPARK-20152 at 3/31/17 1:34 AM:
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I think the
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Hyukjin Kwon commented on SPARK-20152:
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I think the correct usage is as below:
{code}
scala> new
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Apache Spark reassigned SPARK-20165:
Assignee: Tathagata Das (was: Apache Spark)
> Resolve state encoder's deserializer in
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Apache Spark reassigned SPARK-20165:
Assignee: Apache Spark (was: Tathagata Das)
> Resolve state encoder's deserializer in
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Apache Spark commented on SPARK-20165:
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User 'tdas' has created a pull request for this issue:
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Tathagata Das updated SPARK-20165:
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Summary: Resolve state encoder's deserializer in driver in
FlatMapGroupsWithStateExec (was:
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Tathagata Das updated SPARK-20165:
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Summary: Resolved state encoder's deserializer in driver in
FlatMapGroupsWithStateExec (was:
Tathagata Das created SPARK-20165:
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Summary: Resolved Encoder deserializer in driver
Key: SPARK-20165
URL: https://issues.apache.org/jira/browse/SPARK-20165
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-19759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950003#comment-15950003
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holdenk commented on SPARK-19759:
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How do people feel about targeting this for 2.3?
> ALSModel.predict
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holdenk commented on SPARK-19690:
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I think reducing priority and re-targetting might be called for (as
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holdenk reassigned SPARK-19522:
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Assignee: Andrew Or (was: holdenk)
> --executor-memory flag doesn't work in local-cluster mode
>
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holdenk reassigned SPARK-19522:
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Assignee: holdenk (was: Andrew Or)
> --executor-memory flag doesn't work in local-cluster mode
>
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Sunil Rangwani commented on SPARK-14492:
Ok, I raised this a year ago and no longer have access
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Apache Spark reassigned SPARK-20145:
Assignee: Apache Spark
> "SELECT * FROM range(1)" works, but "SELECT * FROM RANGE(1)"
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Apache Spark commented on SPARK-20145:
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User 'samelamin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20145:
Assignee: (was: Apache Spark)
> "SELECT * FROM range(1)" works, but "SELECT * FROM
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Apache Spark commented on SPARK-20164:
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User 'kunalkhamar' has created a pull request for this
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Apache Spark reassigned SPARK-20164:
Assignee: (was: Apache Spark)
> AnalysisException not tolerant of null query plan
>
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Apache Spark reassigned SPARK-20164:
Assignee: Apache Spark
> AnalysisException not tolerant of null query plan
>
Kunal Khamar created SPARK-20164:
Summary: AnalysisException not tolerant of null query plan
Key: SPARK-20164
URL: https://issues.apache.org/jira/browse/SPARK-20164
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-12818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949828#comment-15949828
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Dominic Ricard commented on SPARK-12818:
[~lian cheng] Is there plan to extend support to SQL?
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Apache Spark reassigned SPARK-20163:
Assignee: Apache Spark
> Kill all running tasks in a stage in case of fetch failure
>
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Apache Spark commented on SPARK-20163:
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User 'sitalkedia' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20163:
Assignee: (was: Apache Spark)
> Kill all running tasks in a stage in case of fetch
Sital Kedia created SPARK-20163:
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Summary: Kill all running tasks in a stage in case of fetch failure
Key: SPARK-20163
URL: https://issues.apache.org/jira/browse/SPARK-20163
Project: Spark
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Xiao Li resolved SPARK-20121.
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Resolution: Fixed
Fix Version/s: 2.2.0
> simplify NullPropagation with NullIntolerant
>
Miroslav Spehar created SPARK-20162:
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Summary: Reading data from MySQL - Cannot up cast from
decimal(30,6) to decimal(38,18)
Key: SPARK-20162
URL: https://issues.apache.org/jira/browse/SPARK-20162
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Paride Casulli commented on SPARK-20158:
Hi,
our code uses spark streaming for copying rows from
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Bo Meng commented on SPARK-20145:
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You do not need to be assigned. Just go ahead provide your solution in
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sam elamin commented on SPARK-20145:
Perfect. Can you assign it to me please?
> "SELECT * FROM
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Sahil Takiar updated SPARK-20161:
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Description: The default log4j file in
{{spark/conf/log4j.properties.template}} doesn't display
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Sean Owen commented on SPARK-20152:
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That does not seem to parse, not in Java/Scala even:
{code}
scala>
Sahil Takiar created SPARK-20161:
Summary: Default spark/conf/log4j.properties.template should print
thread-id in ConversionPattern
Key: SPARK-20161
URL: https://issues.apache.org/jira/browse/SPARK-20161
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Sean Owen resolved SPARK-20154.
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Resolution: Not A Problem
> In web ui,http://ip:4040/executors/,the title 'Storage Memory' should
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Apache Spark reassigned SPARK-20160:
Assignee: Xiao Li (was: Apache Spark)
> Move ParquetConversions and OrcConversions Out
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Apache Spark commented on SPARK-20160:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20160:
Assignee: Apache Spark (was: Xiao Li)
> Move ParquetConversions and OrcConversions Out
Xiao Li created SPARK-20160:
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Summary: Move ParquetConversions and OrcConversions Out Of
HiveSessionCatalog
Key: SPARK-20160
URL: https://issues.apache.org/jira/browse/SPARK-20160
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949450#comment-15949450
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Jared commented on SPARK-15142:
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[~devaraj.k] are you still working on this problem?
It seemed that
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Juliusz Sompolski commented on SPARK-20145:
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[~samelamin] sure, go ahead :-).
> "SELECT * FROM
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https://issues.apache.org/jira/browse/SPARK-20133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949418#comment-15949418
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Benjamin Fradet commented on SPARK-20133:
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Can I take this one?
> User guide for
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Navya Krishnappa edited comment on SPARK-20152 at 3/30/17 4:53 PM:
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But
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Navya Krishnappa commented on SPARK-20152:
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But if we specify timestampformat:
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Kazuaki Ishizaki edited comment on SPARK-20158 at 3/30/17 4:35 PM:
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Kazuaki Ishizaki commented on SPARK-20158:
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What program did you run?
> crash in Spark sql
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Kazuaki Ishizaki edited comment on SPARK-19984 at 3/30/17 4:33 PM:
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Kazuaki Ishizaki commented on SPARK-19984:
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While I tried a reproducable program, I have not
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Apache Spark reassigned SPARK-20159:
Assignee: Apache Spark (was: Felix Cheung)
> Support complete Catalog API in R
>
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Apache Spark reassigned SPARK-20159:
Assignee: Felix Cheung (was: Apache Spark)
> Support complete Catalog API in R
>
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Apache Spark commented on SPARK-20159:
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User 'felixcheung' has created a pull request for this
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Denis Bolshakov commented on SPARK-9002:
[~rake], [~BenFradet] Folks, could you please review pull
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Felix Cheung updated SPARK-20159:
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Summary: Support complete Catalog API in R (was: Complete Catalog API in R)
> Support complete
Felix Cheung created SPARK-20159:
Summary: Complete Catalog API in R
Key: SPARK-20159
URL: https://issues.apache.org/jira/browse/SPARK-20159
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-9002:
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User 'dbolshak' has created a pull request for this issue:
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Apache Spark reassigned SPARK-9002:
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Assignee: (was: Apache Spark)
> KryoSerializer initialization does not include
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Apache Spark reassigned SPARK-9002:
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Assignee: Apache Spark
> KryoSerializer initialization does not include 'Array[Int]'
>
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guoxiaolongzte updated SPARK-20157:
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Comment: was deleted
(was: Help to review the code, thank you)
> In the menu ‘Storage’in
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Apache Spark reassigned SPARK-20157:
Assignee: (was: Apache Spark)
> In the menu ‘Storage’in Web UI, click the Go button,
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Apache Spark commented on SPARK-20157:
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User 'guoxiaolongzte' has created a pull request for this
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Apache Spark reassigned SPARK-20157:
Assignee: Apache Spark
> In the menu ‘Storage’in Web UI, click the Go button, and shows
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Denis Bolshakov commented on SPARK-20127:
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[~srowen] thanks for driving me. A lot of motivation!
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Sean Owen resolved SPARK-20127.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17458
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Sean Owen reassigned SPARK-20127:
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Assignee: Denis Bolshakov
> Minor code cleanup
> --
>
> Key:
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Sean Owen resolved SPARK-20096.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17430
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Sean Owen reassigned SPARK-1:
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Assignee: Sonia Garudi
> Test failures in Spark Core due to java.nio.Bits.unaligned()
>
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Sean Owen reassigned SPARK-20096:
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Assignee: Kent Yao
> Expose the real queue name not null while using --verbose
>
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Sean Owen resolved SPARK-1.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17472
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Apache Spark reassigned SPARK-20079:
Assignee: Apache Spark
> Re registration of AM hangs spark cluster in yarn-client mode
>
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Apache Spark reassigned SPARK-20079:
Assignee: (was: Apache Spark)
> Re registration of AM hangs spark cluster in
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https://issues.apache.org/jira/browse/SPARK-20079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949180#comment-15949180
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Apache Spark commented on SPARK-20079:
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User 'witgo' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949164#comment-15949164
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Guoqiang Li commented on SPARK-20079:
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I met the problem when doing reliability test. After the
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https://issues.apache.org/jira/browse/SPARK-15354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-15354:
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Assignee: Shubham Chopra
> Topology aware block replication strategies
>
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https://issues.apache.org/jira/browse/SPARK-11083?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949153#comment-15949153
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chenerlu commented on SPARK-11083:
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yes, in spark 2.x, we have reproduced this issue, but it is not
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https://issues.apache.org/jira/browse/SPARK-15354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-15354.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 13932
Paride Casulli created SPARK-20158:
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Summary: crash in Spark sql insert in partitioned hive tables
Key: SPARK-20158
URL: https://issues.apache.org/jira/browse/SPARK-20158
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949117#comment-15949117
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guoxiaolongzte commented on SPARK-20157:
Help to review the code, thank you
> In the menu
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https://issues.apache.org/jira/browse/SPARK-19511?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949116#comment-15949116
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chenerlu commented on SPARK-19511:
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Still, we have same problem on spark 2.x, but sometimes it accur,
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https://issues.apache.org/jira/browse/SPARK-20137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949107#comment-15949107
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guoxiaolongzte commented on SPARK-20137:
I also want to know why, thank you.
> In Spark1.5 I can
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https://issues.apache.org/jira/browse/SPARK-20152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949028#comment-15949028
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Sean Owen commented on SPARK-20152:
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Ah OK the format is OK, it just means the timezone must be in
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https://issues.apache.org/jira/browse/SPARK-20152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15948989#comment-15948989
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Navya Krishnappa edited comment on SPARK-20152 at 3/30/17 12:48 PM:
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https://issues.apache.org/jira/browse/SPARK-20152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15948989#comment-15948989
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Navya Krishnappa commented on SPARK-20152:
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According to the spark "-MM-dd'T'HH:mm:ss.SSSZZ"
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