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Wenchen Fan resolved SPARK-19924.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17265
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Apache Spark commented on SPARK-19944:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19944:
Assignee: Reynold Xin (was: Apache Spark)
> Move SQLConf from sql/core to sql/catalyst
>
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Apache Spark reassigned SPARK-19944:
Assignee: Apache Spark (was: Reynold Xin)
> Move SQLConf from sql/core to sql/catalyst
>
Reynold Xin created SPARK-19944:
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Summary: Move SQLConf from sql/core to sql/catalyst
Key: SPARK-19944
URL: https://issues.apache.org/jira/browse/SPARK-19944
Project: Spark
Issue Type:
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Hollin Wilkins commented on SPARK-16365:
Hey guys,
Sorry for not chiming in for a while here. I
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meiyoula commented on SPARK-19943:
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[~srowen] Do you think this vulnerability affects spark?
>
meiyoula created SPARK-19943:
Summary: commons-collections has vulnerability: CVE-2015-6420
Key: SPARK-19943
URL: https://issues.apache.org/jira/browse/SPARK-19943
Project: Spark
Issue Type: Bug
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Hyukjin Kwon commented on SPARK-10908:
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Please provide the environment or code [~nadenf]. Otherwise,
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Asher Krim commented on SPARK-16365:
Thanks for pointing me to this Jira [~josephkb], I somehow
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Hyukjin Kwon resolved SPARK-6169.
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Resolution: Invalid
I am resolving this as I don't think this describes the concrete suggestion
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Karthik Palaniappan commented on SPARK-19941:
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To repro:
Set up Spark on YARN (Hadoop 2.8).
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Hyukjin Kwon resolved SPARK-19942.
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Resolution: Duplicate
> DataFrameWriter - CSV options "ignoreLeadingWhiteSpace" and
>
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Hyukjin Kwon commented on SPARK-18579:
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It is not implemented in spark-csv library (see
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nirav patel commented on SPARK-18579:
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I am having same issue. Created SPARK-19942. It seems like
nirav patel created SPARK-19942:
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Summary: DataFrameWriter - CSV options "ignoreLeadingWhiteSpace"
and "ignoreTrailingWhiteSpace" Not working
Key: SPARK-19942
URL: https://issues.apache.org/jira/browse/SPARK-19942
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Joseph K. Bradley commented on SPARK-14174:
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I'm fine with improving KMeans, but I'm still not
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Joseph K. Bradley commented on SPARK-14682:
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[~podongfeng] Sorry for the slow response. To
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Joseph K. Bradley commented on SPARK-19653:
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I agree it'd be nice to make it easier to work
Karthik Palaniappan created SPARK-19941:
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Summary: Spark should not schedule tasks on executors on
decommissioning YARN nodes
Key: SPARK-19941
URL: https://issues.apache.org/jira/browse/SPARK-19941
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Joseph K. Bradley commented on SPARK-4591:
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For the record:
* Kernel Density: later, I'd say
*
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Joseph K. Bradley commented on SPARK-19416:
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Hm, I'd call my synopsis above a "complaint" but
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Joseph K. Bradley commented on SPARK-10413:
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[~akrim] I agree this would be useful, but it will
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Naresh edited comment on SPARK-10436 at 3/13/17 11:30 PM:
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This issue got fixed
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Naresh commented on SPARK-10436:
This issue got fixed in spark 2.0.0 version.
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yuhao yang commented on SPARK-18608:
Thanks [~podongfeng] I'd say it's a better solution as it avoids
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Sameer Agarwal commented on SPARK-19875:
I also verified with [~jay.pranavamurthi] that this is a
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Maciej Szymkiewicz commented on SPARK-19940:
cc [~yuhaoyan]
> FPGrowthModel.transform
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Apache Spark commented on SPARK-19940:
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User 'zero323' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19940:
Assignee: Apache Spark
> FPGrowthModel.transform should skip duplicated items
>
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Apache Spark reassigned SPARK-19940:
Assignee: (was: Apache Spark)
> FPGrowthModel.transform should skip duplicated items
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Maciej Szymkiewicz updated SPARK-14503:
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Comment: was deleted
(was: [~yuhaoyan] Sure thing. I'll try to do it later today.)
Maciej Szymkiewicz created SPARK-19940:
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Summary: FPGrowthModel.transform should skip duplicated items
Key: SPARK-19940
URL: https://issues.apache.org/jira/browse/SPARK-19940
Project: Spark
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Timothy Hunter commented on SPARK-19634:
I was not able to finish it in time, but the bulk of the
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Nick Lothian updated SPARK-19282:
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Component/s: PySpark
> RandomForestRegressionModel summary should expose getMaxDepth
>
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Nick Lothian updated SPARK-19282:
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Summary: RandomForestRegressionModel summary should expose getMaxDepth
(was: R
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Nick Lothian reopened SPARK-19282:
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This issue was raised against the Python model, not the R version. I agree the
R model should be
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Apache Spark commented on SPARK-19872:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-19872:
Assignee: Apache Spark
> UnicodeDecodeError in Pyspark on sc.textFile read with
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Apache Spark reassigned SPARK-19872:
Assignee: (was: Apache Spark)
> UnicodeDecodeError in Pyspark on sc.textFile read
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Apache Spark reassigned SPARK-19817:
Assignee: Apache Spark (was: Takuya Ueshin)
> make it clear that `timeZone` option is a
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Apache Spark commented on SPARK-19817:
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User 'ueshin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19817:
Assignee: Takuya Ueshin (was: Apache Spark)
> make it clear that `timeZone` option is a
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https://issues.apache.org/jira/browse/SPARK-18057?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15922715#comment-15922715
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Michael Armbrust commented on SPARK-18057:
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So to summarize, it'll be unfortunate if Kafka
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Dongjoon Hyun commented on SPARK-19912:
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As [~smilegator] mentioned, this is related to the
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Apache Spark reassigned SPARK-19939:
Assignee: Apache Spark
> Add support for association rules in ML
>
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Apache Spark commented on SPARK-19939:
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User 'hhbyyh' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19939:
Assignee: (was: Apache Spark)
> Add support for association rules in ML
>
yuhao yang created SPARK-19939:
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Summary: Add support for association rules in ML
Key: SPARK-19939
URL: https://issues.apache.org/jira/browse/SPARK-19939
Project: Spark
Issue Type: Improvement
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Sean Owen commented on SPARK-19936:
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That's the question, yes. It sounds like communication problem
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Sean Owen resolved SPARK-19789.
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Resolution: Won't Fix
> Add the shortcut of .format("parquet").option("path",
>
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Sean Owen resolved SPARK-19938.
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Resolution: Duplicate
This is a question you can answer with Google and is not a Spark issue.
>
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Joseph K. Bradley updated SPARK-11569:
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Shepherd: Joseph K. Bradley
> StringIndexer transform fails when column contains nulls
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Apache Spark commented on SPARK-19933:
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User 'hvanhovell' has created a pull request for this issue:
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Joseph K. Bradley edited comment on SPARK-11569 at 3/13/17 4:31 PM:
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Apache Spark reassigned SPARK-19933:
Assignee: Apache Spark
> TPCDS Q70 went wrong while explaining
>
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Apache Spark reassigned SPARK-19933:
Assignee: (was: Apache Spark)
> TPCDS Q70 went wrong while explaining
>
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Josh Bacon commented on SPARK-16784:
>From what I've seen, this limitation is also experienced on the
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Apache Spark commented on SPARK-19887:
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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-19887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19887:
Assignee: (was: Apache Spark)
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL
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Apache Spark reassigned SPARK-19887:
Assignee: Apache Spark
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition
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Wenchen Fan commented on SPARK-19887:
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This is actually the same behavior of hive, see
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Chang chen commented on SPARK-7460:
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+1 for supporting {{DataFrame.zip}}, python guys of my company
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srinivas thallam commented on SPARK-19938:
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The tests are working fine in IDE(intellij) but when
srinivas thallam created SPARK-19938:
Summary: java.lang.ClassCastException: cannot assign instance of
scala.collection.immutable.List$SerializationProxy to field
Key: SPARK-19938
URL:
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Stan Teresen edited comment on SPARK-19936 at 3/13/17 2:53 PM:
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The cluster
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Maciej Szymkiewicz commented on SPARK-14503:
[~yuhaoyan] Sure thing. I'll try to do it later
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Herman van Hovell commented on SPARK-19933:
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Here is a reproducible example:
{noformat}
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Tejas Patil commented on SPARK-17495:
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Yes. Thats a better way. At this point all datatypes are
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Stan Teresen commented on SPARK-19936:
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The cluster has plenty of the resource (3 r3.large AWS
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Tejas Patil reopened SPARK-17495:
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> Hive hash implementation
>
>
> Key: SPARK-17495
>
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Herman van Hovell commented on SPARK-19933:
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Yeah, this is on me. I added a rule that removes
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Apache Spark commented on SPARK-19937:
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User 'jinxing64' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19937:
Assignee: Apache Spark
> Collect metrics of block sizes when shuffle.
>
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Apache Spark reassigned SPARK-19937:
Assignee: (was: Apache Spark)
> Collect metrics of block sizes when shuffle.
>
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Sean Owen commented on SPARK-19936:
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That doesn't sound like a bug, but a problem in your environment.
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Stan Teresen updated SPARK-19936:
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Attachment: (was: pr.out)
> Page rank example takes long time to complete
>
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Stan Teresen updated SPARK-19936:
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Attachment: pr.out
2.stderr
1.stderr
Page rank output and 2
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Stan Teresen updated SPARK-19936:
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Comment: was deleted
(was: Page Rank output)
> Page rank example takes long time to complete
>
jin xing created SPARK-19937:
Summary: Collect metrics of block sizes when shuffle.
Key: SPARK-19937
URL: https://issues.apache.org/jira/browse/SPARK-19937
Project: Spark
Issue Type: Improvement
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Stan Teresen updated SPARK-19936:
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Attachment: pr.out
Page Rank output
> Page rank example takes long time to complete
>
Stan Teresen created SPARK-19936:
Summary: Page rank example takes long time to complete
Key: SPARK-19936
URL: https://issues.apache.org/jira/browse/SPARK-19936
Project: Spark
Issue Type:
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Keith Bourgoin commented on SPARK-16394:
PS: The above is from Spark 2.1.0 running on an Ubuntu
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Apache Spark reassigned SPARK-19767:
Assignee: Apache Spark
> API Doc pages for Streaming with Kafka 0.10 not current
>
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Apache Spark reassigned SPARK-19767:
Assignee: (was: Apache Spark)
> API Doc pages for Streaming with Kafka 0.10 not
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Apache Spark commented on SPARK-19767:
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User 'nafshartous' has created a pull request for this
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Apache Spark reassigned SPARK-19925:
Assignee: (was: Apache Spark)
> SparkR spark.getSparkFiles fails on executor
>
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Apache Spark commented on SPARK-19925:
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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-19925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19925:
Assignee: Apache Spark
> SparkR spark.getSparkFiles fails on executor
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https://issues.apache.org/jira/browse/SPARK-19935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-19935.
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Resolution: Duplicate
> SparkSQL unsupports to create a hive table which is mapped for HBase table
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https://issues.apache.org/jira/browse/SPARK-19719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Prashant Sharma reassigned SPARK-19719:
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Assignee: Tyson Condie
> Structured Streaming write to Kafka
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https://issues.apache.org/jira/browse/SPARK-19935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15907089#comment-15907089
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Xiaochen Ouyang edited comment on SPARK-19935 at 3/13/17 9:47 AM:
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Xiaochen Ouyang commented on SPARK-19935:
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Throwing an operationNotAllowed exeception when we are
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https://issues.apache.org/jira/browse/SPARK-19928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15907085#comment-15907085
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Herman van Hovell commented on SPARK-19928:
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It does 'work' with one column (it gives a
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https://issues.apache.org/jira/browse/SPARK-19935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15907076#comment-15907076
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Sean Owen commented on SPARK-19935:
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What is the problem, and should this even be supported?
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zhoukang updated SPARK-19934:
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Description:
{code}
def handleRemovedExecutor(executorId: String): Unit = {
// We intentionally do
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https://issues.apache.org/jira/browse/SPARK-19934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhoukang updated SPARK-19934:
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Summary: code comments are not very clearly in BlackListTracker.scala
(was: code comments not very
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https://issues.apache.org/jira/browse/SPARK-19935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiaochen Ouyang updated SPARK-19935:
Description:
SparkSQL unsupports the command as following:
CREATE TABLE spark_test(key
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https://issues.apache.org/jira/browse/SPARK-19934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-19934:
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Description:
{code}
def handleRemovedExecutor(executorId: String): Unit = {
// We intentionally do
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https://issues.apache.org/jira/browse/SPARK-19934?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15907070#comment-15907070
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zhoukang commented on SPARK-19934:
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Has update [~sowen]
> code comments not very clearly in
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