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zhengruifeng edited comment on SPARK-15823 at 6/9/16 10:20 AM:
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zhengruifeng commented on SPARK-15823:
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{MulticlassMetrics.confusionMatrix} may need {@property}
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zhengruifeng updated SPARK-15823:
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Comment: was deleted
(was: {MulticlassMetrics.confusionMatrix} may need {@property} too, but I
Prashant Sharma created SPARK-15842:
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Summary: Add support for socket stream.
Key: SPARK-15842
URL: https://issues.apache.org/jira/browse/SPARK-15842
Project: Spark
Issue Type: Sub-task
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Miao Wang edited comment on SPARK-15545 at 6/9/16 6:56 AM:
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[~shivaram]Thanks
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Weichen Xu commented on SPARK-15086:
OK. [~srowen] What do you think about it?
> Update Java API
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zhengruifeng commented on SPARK-15823:
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{MulticlassMetrics.confusionMatrix} may need {@property}
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Sean Owen commented on SPARK-15781:
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Oh I'm sorry, I put this comment on entirely the wrong JIRA -- too
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Sean Owen updated SPARK-15781:
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Summary: Misleading deprecated property in standalone cluster configuration
documentation (was:
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Sean Owen updated SPARK-15781:
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Comment: was deleted
(was: PS [~JonathanTaws] do you have some output from -verbose:gc that might
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Willy Lee commented on SPARK-11765:
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As of what version? I'll want to have our team upgrade.
> Avoid
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Apache Spark reassigned SPARK-15840:
Assignee: (was: Apache Spark)
> New csv reader does not "determine the input schema"
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Apache Spark reassigned SPARK-15840:
Assignee: Apache Spark
> New csv reader does not "determine the input schema"
>
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Apache Spark commented on SPARK-15840:
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User 'HyukjinKwon' has created a pull request for this
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zhengruifeng updated SPARK-15823:
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Summary: Add @property for 'accuracy' in MulticlassMetrics (was: Add
@property for 'property'
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Jonathan Taws commented on SPARK-15781:
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By launching a session with {{SPARK_WORKER_INSTANCES}} set
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Sean Owen updated SPARK-15796:
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Summary: Reduce spark.memory.fraction default to avoid overrunning old gen
in JVM default config
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Sean Owen commented on SPARK-15796:
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PS [~gfeher] do you have some output from -verbose:gc that might
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Stavros Kontopoulos commented on SPARK-1882:
Does dynamic allocation help with the
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Prashant Sharma updated SPARK-15842:
Description:
Streaming so far has an offset based sources with all the available sources
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Prashant Sharma reassigned SPARK-15842:
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Assignee: Prashant Sharma
> Add support for socket stream.
>
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Sean Owen updated SPARK-15831:
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Affects Version/s: 1.5.2
1.6.1
Target Version/s: (was: 1.5.0)
> Kryo
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Jonathan Taws commented on SPARK-15801:
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I don't think it is a problem, but it might be interesting
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Liwei Lin updated SPARK-15472:
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Summary: Add support for writing in `csv`, `json`, `text` formats in
Structured Streaming (was: Add
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Apache Spark commented on SPARK-15472:
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User 'lw-lin' has created a pull request for this issue:
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Josh Rosen resolved SPARK-12712.
Resolution: Fixed
Fix Version/s: 1.6.2
2.0.0
Issue resolved by pull
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Ernst Sjöstrand commented on SPARK-15840:
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Also, the documentation implies that an inferSchema
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Prashant Sharma updated SPARK-15697:
Description:
"implicits", "javap", "power", "type", "kind" commands in repl are blocked.
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Prashant Sharma updated SPARK-15697:
Description:
"implicits", "javap", "power", "type", "kind" commands in repl are blocked.
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Prashant Sharma updated SPARK-15841:
Component/s: Spark Shell
> [SPARK REPL] REPLSuite has in correct env set for a couple of
Prashant Sharma created SPARK-15841:
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Summary: [SPARK REPL] REPLSuite has in correct env set for a
couple of tests.
Key: SPARK-15841
URL: https://issues.apache.org/jira/browse/SPARK-15841
Project:
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Sean Owen resolved SPARK-15802.
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Resolution: Not A Problem
It looks like you show the answer in your question, not sure what you're
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Reynold Xin commented on SPARK-15086:
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I was suggesting renaming both, so the two would be
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Weichen Xu commented on SPARK-15086:
If do so, only rename the java API in this type or rename scala
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Apache Spark commented on SPARK-15839:
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User 'JoshRosen' has created a pull request for this issue:
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Ernst Sjöstrand commented on SPARK-15840:
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The old databricks csv had an option called
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Ernst Sjöstrand commented on SPARK-15840:
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I have only tested this for Python, not sure if it
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Hyukjin Kwon edited comment on SPARK-15840 at 6/9/16 8:24 AM:
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There is
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Sean Owen resolved SPARK-15716.
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Resolution: Not A Problem
> Memory usage of driver keeps growing up in Spark Streaming
>
Josh Rosen created SPARK-15839:
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Summary: Maven doc JAR generation fails when JAVA_7_HOME is set
Key: SPARK-15839
URL: https://issues.apache.org/jira/browse/SPARK-15839
Project: Spark
Issue
Ernst Sjöstrand created SPARK-15840:
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Summary: New csv reader does not "determine the input schema"
Key: SPARK-15840
URL: https://issues.apache.org/jira/browse/SPARK-15840
Project: Spark
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Ernst Sjöstrand updated SPARK-15840:
Description:
When testing the new csv reader I found that it would not determine the input
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Prashant Sharma updated SPARK-15841:
Summary: [SPARK REPL] REPLSuite has incorrect env set for a couple of
tests. (was: [SPARK
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Sean Owen commented on SPARK-15837:
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Yeah, ideally we would have suggested and done this in the first
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Apache Spark commented on SPARK-15841:
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User 'ScrapCodes' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15841:
Assignee: (was: Apache Spark)
> [SPARK REPL] REPLSuite has incorrect env set for a
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Sean Owen commented on SPARK-11765:
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That's how it works now.
> Avoid assign UI port between browser
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Sean Owen resolved SPARK-15801.
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Resolution: Not A Problem
This much seems to be not a problem.
> spark-submit --num-executors
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Ernst Sjöstrand commented on SPARK-15840:
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Perhaps related to SPARK-13667 ?
> New csv reader
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Ernst Sjöstrand updated SPARK-15840:
Description:
When testing the new csv reader I found that it would not determine the input
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Sean Owen resolved SPARK-15836.
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Resolution: Duplicate
Target Version/s: (was: 2.0.0)
> Spark 2.0/master maven snapshots
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Apache Spark reassigned SPARK-15841:
Assignee: Apache Spark
> [SPARK REPL] REPLSuite has incorrect env set for a couple of
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Sean Owen resolved SPARK-15818.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13556
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Sean Owen updated SPARK-15818:
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Assignee: Adam Roberts
> Upgrade to Hadoop 2.7.2
> ---
>
> Key:
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Hyukjin Kwon commented on SPARK-15840:
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There is {{inferSchema}} option but it seems it was missed
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Hyukjin Kwon commented on SPARK-15840:
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For custom dateFormat, here there are,
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Prashant Sharma updated SPARK-15697:
Description:
"implicits", "javap", "power", "type", "kind" commands in repl are blocked.
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Sean Owen updated SPARK-15781:
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Summary: Reduce spark.memory.fraction default to avoid overrunning old gen
in JVM default config
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Sean Owen commented on SPARK-11765:
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You can do two things -- pick another starting port, or limit the
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Sean Owen commented on SPARK-11765:
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For as long as I can remember it has iterated through several next
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Takeshi Yamamuro commented on SPARK-15585:
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I'm afraid the `sep` option for `csv` overrides the
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nirav patel commented on SPARK-15772:
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I can't point you to every individual functions which needs
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Apache Spark commented on SPARK-15837:
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User 'WeichenXu123' has created a pull request for this
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Apache Spark reassigned SPARK-15837:
Assignee: Apache Spark
> PySpark ML Word2Vec should support maxSentenceLength
>
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Apache Spark reassigned SPARK-15837:
Assignee: (was: Apache Spark)
> PySpark ML Word2Vec should support maxSentenceLength
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Sandeep commented on SPARK-2984:
I tried with spark.speculation=false as well and it still gives the same
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Steve Loughran commented on SPARK-15844:
Stack.
{code}
16/05/31 22:46:25 INFO SecurityManager:
Steve Loughran created SPARK-15844:
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Summary: HistoryServer doesn't come up if spark.authenticate = true
Key: SPARK-15844
URL: https://issues.apache.org/jira/browse/SPARK-15844
Project: Spark
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Saisai Shao commented on SPARK-15828:
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OK, I guess you're running on AWS or similar cloud
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Kay Ousterhout commented on SPARK-14485:
I don't think (a) is especially rare: that's the case
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Apache Spark commented on SPARK-14485:
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User 'kayousterhout' has created a pull request for this
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Yan Chen commented on SPARK-15716:
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Original problem comes from Hortonworks. We also tried to use
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Yan Chen commented on SPARK-15716:
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[~srowen] Could I know why this issue is closed?
> Memory usage of
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Yan Chen edited comment on SPARK-15716 at 6/9/16 5:34 PM:
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Original problem
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Yan Chen edited comment on SPARK-15716 at 6/9/16 5:34 PM:
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[~srowen] Could I
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Yan Chen commented on SPARK-15716:
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Why it is "not a problem" even if it crashes the streaming process?
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Saisai Shao commented on SPARK-15828:
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I think this issue is not related to dynamic allocation, if
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Saisai Shao commented on SPARK-15801:
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It has already been mentioned in {{spark-submit --help}}:
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Saisai Shao commented on SPARK-15800:
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{quote}
Spark is currently running using the Resource Manager,
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nirav patel updated SPARK-15845:
Description:
Spark optimizes DAG processing by efficiently selecting stage boundaries. This
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Wenchen Fan resolved SPARK-15804.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13555
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Nick Pentreath resolved SPARK-15788.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13540
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Yan Chen commented on SPARK-15716:
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I've marked it as invalid since it is a problem, but you think it is
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Yan Chen edited comment on SPARK-15716 at 6/9/16 5:45 PM:
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I've marked it as
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Shixiong Zhu edited comment on SPARK-15716 at 6/9/16 5:54 PM:
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If possible,
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Davies Liu updated SPARK-15433:
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Assignee: Liang-Chi Hsieh
> PySpark core test should not use SerDe from PythonMLLibAPI
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https://issues.apache.org/jira/browse/SPARK-15828?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323043#comment-15323043
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Miles Crawford commented on SPARK-15828:
That's correct, on a cloud provider, AWS to be specific.
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https://issues.apache.org/jira/browse/SPARK-15781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323235#comment-15323235
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Jonathan Taws commented on SPARK-15781:
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What are our nextsteps on this ? CC Andrew or someone who
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https://issues.apache.org/jira/browse/SPARK-15801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323239#comment-15323239
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Jonathan Taws commented on SPARK-15801:
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Indeed, should be enough as it is then.
> spark-submit
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https://issues.apache.org/jira/browse/SPARK-15801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323242#comment-15323242
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Jonathan Taws commented on SPARK-15801:
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Indeed, should be enough as it is then.
> spark-submit
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https://issues.apache.org/jira/browse/SPARK-15781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323235#comment-15323235
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Jonathan Taws edited comment on SPARK-15781 at 6/9/16 8:11 PM:
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What are
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https://issues.apache.org/jira/browse/SPARK-15801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jonathan Taws updated SPARK-15801:
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Comment: was deleted
(was: Indeed, should be enough as it is then. )
> spark-submit
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https://issues.apache.org/jira/browse/SPARK-14485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323344#comment-15323344
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Marcelo Vanzin commented on SPARK-14485:
bq. I don't think (a) is especially rare: that's the
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https://issues.apache.org/jira/browse/SPARK-14321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323384#comment-15323384
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Apache Spark commented on SPARK-14321:
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User 'hvanhovell' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15613?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323386#comment-15323386
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Bo Meng commented on SPARK-15613:
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Does this only happen to 1.6? I have tried on the latest master and it
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https://issues.apache.org/jira/browse/SPARK-15613?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323386#comment-15323386
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Bo Meng edited comment on SPARK-15613 at 6/9/16 9:24 PM:
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Does this only happen
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https://issues.apache.org/jira/browse/SPARK-15716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323019#comment-15323019
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Sean Owen commented on SPARK-15716:
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I agree you obviously have some issue in your system. The question
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https://issues.apache.org/jira/browse/SPARK-15842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15323006#comment-15323006
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Tathagata Das commented on SPARK-15842:
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This is slightly at odds with the fundamental design of
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https://issues.apache.org/jira/browse/SPARK-15847?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yesha Vora updated SPARK-15847:
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Affects Version/s: 2.0.0
> DecisionTreeRunner example stucks with "NoClassDefFoundError:
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Zhan Zhang created SPARK-15848:
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Summary: Spark unable to read partitioned table in avro format and
column name in upper case
Key: SPARK-15848
URL: https://issues.apache.org/jira/browse/SPARK-15848
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