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Joseph K. Bradley resolved SPARK-7511.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6139
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Apache Spark reassigned SPARK-7719:
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Assignee: Josh Rosen (was: Apache Spark)
> Java 6 code in UnsafeShuffleWriterSuite
> ---
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Apache Spark reassigned SPARK-7719:
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Assignee: Apache Spark (was: Josh Rosen)
> Java 6 code in UnsafeShuffleWriterSuite
> ---
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Davies Liu commented on SPARK-7565:
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[~tailhook] The patch is kind of workaround, it doe
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Apache Spark commented on SPARK-7719:
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User 'JoshRosen' has created a pull request for
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Davies Liu reassigned SPARK-7565:
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Assignee: Davies Liu
> Broken maps in jsonRDD
> --
>
> Key: S
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Sean Owen resolved SPARK-7769.
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Resolution: Invalid
Please ask questions at u...@spark.apache.org, not JIRA
> How to represent a recurs
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Apache Spark commented on SPARK-6548:
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User 'JihongMA' has created a pull request for
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Apache Spark reassigned SPARK-7574:
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Assignee: Ram Sriharsha (was: Apache Spark)
> User guide update for OneVsRest
>
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Apache Spark commented on SPARK-7574:
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User 'harsha2010' has created a pull request fo
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Apache Spark reassigned SPARK-7574:
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Assignee: Apache Spark (was: Ram Sriharsha)
> User guide update for OneVsRest
>
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Yin Huai updated SPARK-7565:
Target Version/s: 1.4.0
> Broken maps in jsonRDD
> --
>
> Key: SPARK-756
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Yin Huai updated SPARK-7565:
Priority: Blocker (was: Major)
> Broken maps in jsonRDD
> --
>
> Key: S
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Josh Rosen commented on SPARK-7600:
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Is event logging enabled? This could be a duplicat
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Josh Rosen updated SPARK-7613:
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Description:
The following code snippet works in pyspark 1.1.0, but fails post 1.2 with the
indicated e
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Tathagata Das updated SPARK-7741:
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Assignee: Andrew Or (was: Tathagata Das)
> ContextCleaner not used by many DStream operations
> -
Joseph K. Bradley created SPARK-7770:
Summary: Should GBT validationTol be relative tolerance?
Key: SPARK-7770
URL: https://issues.apache.org/jira/browse/SPARK-7770
Project: Spark
Issue T
Jeremy A. Lucas created SPARK-7769:
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Summary: How to represent a recursive data type in Spark SQL
Key: SPARK-7769
URL: https://issues.apache.org/jira/browse/SPARK-7769
Project: Spark
Issue T
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Apache Spark reassigned SPARK-7606:
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Assignee: (was: Apache Spark)
> Document all PySpark SQL/DataFrame public methods with @s
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Apache Spark commented on SPARK-7606:
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User 'davies' has created a pull request for th
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Apache Spark reassigned SPARK-7606:
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Assignee: Apache Spark
> Document all PySpark SQL/DataFrame public methods with @since tag
>
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Joseph K. Bradley resolved SPARK-7757.
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Resolution: Done
I'm resolving this, but if you think we need a larger discussion about
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Apache Spark commented on SPARK-5681:
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User 'zsxwing' has created a pull request for t
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Joseph K. Bradley commented on SPARK-7757:
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This is supported by BlockMatrix, not
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Patrick Wendell commented on SPARK-7320:
Hey [~liancheng] and [~chenghao] - I reve
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Michael Armbrust commented on SPARK-7724:
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If you make a patch feel free to reopen
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Santiago M. Mola edited comment on SPARK-7724 at 5/20/15 8:36 PM:
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Santiago M. Mola commented on SPARK-7724:
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DataFrame is beyond the scope here. I d
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Xiangrui Meng updated SPARK-7768:
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Priority: Critical (was: Major)
> Make user-defined type (UDT) API public
> -
Xiangrui Meng created SPARK-7768:
Summary: Make user-defined type (UDT) API public
Key: SPARK-7768
URL: https://issues.apache.org/jira/browse/SPARK-7768
Project: Spark
Issue Type: New Feature
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Josh Rosen commented on SPARK-7760:
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I've added 1.4.0 as a target version so that this s
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Josh Rosen updated SPARK-7760:
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Target Version/s: 1.4.0
> Master & Worker json endpoints missing
> -
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Josh Rosen updated SPARK-7766:
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Summary: KryoSerializerInstance reuse is not safe when auto-reset is
disabled (was: KryoSerializerInsta
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Josh Rosen updated SPARK-7766:
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Summary: KryoSerializerInstance re-use is not safe when auto-reset is
disabled (was: KryoSerializerInst
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Apache Spark reassigned SPARK-7766:
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Assignee: Josh Rosen (was: Apache Spark)
> KryoSerializerInstance re-use is not safe when au
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Apache Spark commented on SPARK-7766:
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User 'JoshRosen' has created a pull request for
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Apache Spark reassigned SPARK-7766:
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Assignee: Apache Spark (was: Josh Rosen)
> KryoSerializerInstance re-use is not safe when au
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Apache Spark reassigned SPARK-7767:
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Assignee: Apache Spark (was: Tathagata Das)
> Fail fast if the DStream checkpoint is not ser
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Apache Spark reassigned SPARK-7767:
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Assignee: Tathagata Das (was: Apache Spark)
> Fail fast if the DStream checkpoint is not ser
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Apache Spark commented on SPARK-7767:
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User 'tdas' has created a pull request for this
Tathagata Das created SPARK-7767:
Summary: Fail fast if the DStream checkpoint is not serializable
Key: SPARK-7767
URL: https://issues.apache.org/jira/browse/SPARK-7767
Project: Spark
Issue T
Josh Rosen created SPARK-7766:
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Summary: KryoSerializerInstance re-use is not safe when auto-flush
is disabled
Key: SPARK-7766
URL: https://issues.apache.org/jira/browse/SPARK-7766
Project: Spark
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Joseph K. Bradley resolved SPARK-7579.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6126
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Apache Spark commented on SPARK-6880:
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User 'markhamstra' has created a pull request f
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Apache Spark commented on SPARK-6980:
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User 'hardmettle' has created a pull request fo
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Tathagata Das commented on SPARK-5966:
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Yes, but its super non-intuitive error messag
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Xiangrui Meng resolved SPARK-7537.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6280
[https://githu
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Michael Armbrust updated SPARK-7178:
Target Version/s: 1.5.0 (was: 1.4.0)
> Improve DataFrame documentation and code samples
> -
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Reynold Xin updated SPARK-6956:
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Target Version/s: 1.5.0 (was: 1.4.0)
> Improve DataFrame API compatibility with Pandas
>
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Michael Armbrust updated SPARK-5508:
Target Version/s: 1.5.0 (was: 1.3.2, 1.4.0)
> Arrays and Maps stored with Hive Parquet Serd
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Michael Armbrust updated SPARK-6831:
Target Version/s: 1.5.0 (was: 1.4.0)
> Document how to use external data sources
>
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Michael Armbrust updated SPARK-4131:
Target Version/s: 1.5.0 (was: 1.4.0)
> Support "Writing data into the filesystem from queri
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Michael Armbrust updated SPARK-6964:
Target Version/s: 1.5.0 (was: 1.4.0)
> Support Cancellation in the Thrift Server
>
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Michael Armbrust updated SPARK-6775:
Target Version/s: 1.5.0 (was: 1.4.0)
> Simplify CatalystConverter class hierarchy and pass
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Michael Armbrust updated SPARK-2973:
Target Version/s: 1.5.0 (was: 1.4.0)
> Use LocalRelation for all ExecutedCommands, avoid jo
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Michael Armbrust updated SPARK-7394:
Target Version/s: 1.5.0 (was: 1.4.0)
> Add Pandas style cast (astype)
> ---
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Michael Armbrust updated SPARK-6774:
Target Version/s: 1.5.0 (was: 1.4.0)
> Implement Parquet complex types backwards-compatibli
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Michael Armbrust updated SPARK-5295:
Target Version/s: 1.5.0 (was: 1.4.0)
> Stabilize data types
>
>
>
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Michael Armbrust updated SPARK-6189:
Target Version/s: 1.5.0 (was: 1.4.0)
> Pandas to DataFrame conversion should check field na
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Michael Armbrust updated SPARK-4485:
Target Version/s: 1.5.0 (was: 1.4.0)
> Add broadcast outer join to optimize left outer joi
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Michael Armbrust updated SPARK-6380:
Target Version/s: 1.5.0 (was: 1.4.0)
> Resolution of equi-join key in post-join projection
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Michael Armbrust updated SPARK-7200:
Target Version/s: 1.5.0 (was: 1.4.0)
> Tungsten test suites should fail if memory leak is d
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Michael Armbrust updated SPARK-6777:
Target Version/s: 1.5.0 (was: 1.4.0)
> Implement backwards-compatibility rules in Parquet s
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Michael Armbrust updated SPARK-6795:
Target Version/s: 1.5.0 (was: 1.4.0)
> Avoid reading Parquet footers on driver side when an
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Michael Armbrust updated SPARK-6941:
Target Version/s: 1.5.0 (was: 1.4.0)
> Provide a better error message to explain that table
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Michael Armbrust updated SPARK-6776:
Target Version/s: 1.5.0 (was: 1.4.0)
> Implement backwards-compatibility rules in CatalystC
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Michael Armbrust updated SPARK-7158:
Target Version/s: 1.5.0 (was: 1.4.0)
> collect and take return different results
>
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Michael Armbrust updated SPARK-6923:
Target Version/s: 1.5.0 (was: 1.4.0)
> Spark SQL CLI does not read Data Source schema corre
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Michael Armbrust updated SPARK-6759:
Target Version/s: 1.5.0 (was: 1.4.0)
> Do not borrow/release a kryo instance for every valu
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Michael Armbrust updated SPARK-6914:
Target Version/s: 1.5.0 (was: 1.4.0)
> DataFrame.withColumn should take metadata
>
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Michael Armbrust updated SPARK-6411:
Target Version/s: 1.5.0 (was: 1.4.0)
> PySpark DataFrames can't be created if any datetimes
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Michael Armbrust updated SPARK-6573:
Target Version/s: 1.5.0 (was: 1.4.0)
> Convert inbound NaN values as null
> ---
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Michael Armbrust resolved SPARK-4689.
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Resolution: Fixed
I think this is fixed by dataframes. Please reopen if you are still hav
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Michael Armbrust resolved SPARK-7724.
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Resolution: Won't Fix
These both exist in
[dataframes|https://github.com/apache/spark/blo
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Andrew Or commented on SPARK-5966:
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You're not supposed to run with cluster deploy mode u
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Andrew Or closed SPARK-7644.
Resolution: Done
Fix Version/s: 1.4.0
> Ensure all scoped RDD operations are tested and cleaned
> ---
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Michael Armbrust resolved SPARK-4331.
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Resolution: Not A Problem
We are getting rid of the shim code, so I'm closing this issue.
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Andrew Or closed SPARK-7627.
Resolution: Fixed
Fix Version/s: 1.4.0
> DAG visualization: cached RDDs not shown on job page
> -
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Andrew Or closed SPARK-7472.
Resolution: Fixed
Fix Version/s: 1.4.0
> DAG visualization: handle skipped stages differently
> -
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Michael Armbrust resolved SPARK-6674.
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Resolution: Duplicate
> Use different types to represent rows used inside and outside Cata
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Michael Armbrust resolved SPARK-7564.
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Resolution: Duplicate
> performance bottleneck in SparkSQL using columnar storage
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Michael Armbrust resolved SPARK-5325.
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Resolution: Not A Problem
Obviated by isolated client loader.
> Simplifying Hive shim imp
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Apache Spark commented on SPARK-7762:
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User 'mengxr' has created a pull request for th
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https://issues.apache.org/jira/browse/SPARK-7713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai resolved SPARK-7713.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 6252
[https://github.com/apac
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Liang-Chi Hsieh closed SPARK-7765.
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Resolution: Duplicate
> Input vector should divide with the norm in Word2Vec's findSynonyms
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https://issues.apache.org/jira/browse/SPARK-1529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kannan Rajah updated SPARK-1529:
Description: In some environments, like with MapR, local volumes are
accessed through the Hadoop fil
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Marcelo Vanzin commented on SPARK-7108:
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bq. This boils down to an issue around cle
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https://issues.apache.org/jira/browse/SPARK-6041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-6041.
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Resolution: Won't Fix
> Compute shortest path for graph with edge distances
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Kannan Rajah updated SPARK-1529:
Summary: Support DFS based shuffle in addition to Netty shuffle (was:
Support setting spark.local.d
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Sean Owen commented on SPARK-7765:
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This duplicates https://issues.apache.org/jira/browse
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Matt Cheah commented on SPARK-7108:
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Just wanted to add my two cents here. I've had seve
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Apache Spark reassigned SPARK-7765:
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Assignee: (was: Apache Spark)
> Input vector should divide with the norm in Word2Vec's fi
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Apache Spark reassigned SPARK-7765:
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Assignee: Apache Spark
> Input vector should divide with the norm in Word2Vec's findSynonyms
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Liang-Chi Hsieh updated SPARK-7765:
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Summary: Input vector should divide with the norm in Word2Vec's
findSynonyms (was: Vector sho
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https://issues.apache.org/jira/browse/SPARK-7765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-7765:
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Summary: Vector should divide with the norm in Word2Vec's findSynonyms
(was: Given vector sho
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https://issues.apache.org/jira/browse/SPARK-7765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14552749#comment-14552749
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Apache Spark commented on SPARK-7765:
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User 'viirya' has created a pull request for th
Liang-Chi Hsieh created SPARK-7765:
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Summary: Given vector should divide with the norm in Word2Vec's
findSynonyms
Key: SPARK-7765
URL: https://issues.apache.org/jira/browse/SPARK-7765
Project: Spark
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Apache Spark commented on SPARK-7749:
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User 'liancheng' has created a pull request for
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Apache Spark reassigned SPARK-7749:
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Assignee: Apache Spark (was: Cheng Lian)
> Parquet metastore conversion does not use metasto
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Apache Spark reassigned SPARK-7749:
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Assignee: Cheng Lian (was: Apache Spark)
> Parquet metastore conversion does not use metasto
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