Josh Rosen created SPARK-4898:
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Summary: Replace cloudpickle with Dill
Key: SPARK-4898
URL: https://issues.apache.org/jira/browse/SPARK-4898
Project: Spark
Issue Type: Bug
Components: P
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Josh Rosen updated SPARK-4897:
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Description:
It would be nice to have Python 3 support in PySpark, provided that we can do
it in a way
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guowei commented on SPARK-4886:
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use "CACHE TABLE ... AS SELECT..."
> Support cache contro
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Andrew Ash updated SPARK-3619:
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Assignee: Timothy Chen
> Upgrade to Mesos 0.21 to work around MESOS-1688
> -
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Andrew Ash commented on SPARK-3619:
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[~activars] Spark 1.2.0 is being released with a Me
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Andrew Ash updated SPARK-3619:
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Description: The Mesos 0.21 release has a fix for
https://issues.apache.org/jira/browse/MESOS-1688, whic
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Xudong Zheng commented on SPARK-4886:
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Hi Guowei,
"CACHE TABLE ... AS SELECT..." will
Andrew Ash created SPARK-4899:
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Summary: Support Mesos features: roles and checkpoints
Key: SPARK-4899
URL: https://issues.apache.org/jira/browse/SPARK-4899
Project: Spark
Issue Type: New Feature
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Sean Owen commented on SPARK-4872:
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[~zhjunwei] This is not at all specific to Spark. No,
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Sean Owen commented on SPARK-4094:
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[~liyezhang556520] But this is exactly what the doc s
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Sean Owen commented on SPARK-2075:
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[~sunrui] From digging in to the various reports of t
Mike Beyer created SPARK-4900:
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Summary: MLlib SingularValueDecomposition ARPACK
IllegalStateException
Key: SPARK-4900
URL: https://issues.apache.org/jira/browse/SPARK-4900
Project: Spark
I
Cheng Hao created SPARK-4901:
Summary: Hot fix for the BytesWritable.copyBytes not exists in
Hadoop1
Key: SPARK-4901
URL: https://issues.apache.org/jira/browse/SPARK-4901
Project: Spark
Issue Ty
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Apache Spark commented on SPARK-4901:
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User 'chenghao-intel' has created a pull reques
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Mike Beyer updated SPARK-4900:
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Priority: Major (was: Blocker)
> MLlib SingularValueDecomposition ARPACK IllegalStateException
> -
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uncleGen updated SPARK-3373:
Target Version/s: 1.3.0, 1.2.1 (was: 1.1.1, 1.2.0)
Affects Version/s: (was: 1.0.2)
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uncleGen updated SPARK-3373:
Priority: Major (was: Minor)
> Filtering operations should optionally rebuild routing tables
>
Guoqiang Li created SPARK-4902:
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Summary: gap-sampling performance optimization
Key: SPARK-4902
URL: https://issues.apache.org/jira/browse/SPARK-4902
Project: Spark
Issue Type: Improvement
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Guoqiang Li resolved SPARK-4844.
Resolution: Won't Fix
See: SPARK-4902
> SGD should support custom sampling.
> -
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Jing Dong commented on SPARK-3619:
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Has anyone succeed to run Spark 1.1.1 on Mesos 0.21?
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Guoqiang Li updated SPARK-4902:
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Description:
{{CacheManager.getOrCompute}} returns an instance of InterruptibleIterator that
contains
Evert Lammerts created SPARK-4903:
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Summary: RDD remains cached after "DROP TABLE"
Key: SPARK-4903
URL: https://issues.apache.org/jira/browse/SPARK-4903
Project: Spark
Issue Type: Bug
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Evert Lammerts updated SPARK-4903:
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Description:
In beeline, when I run:
{code:sql}
CREATE TABLE test AS select col from table;
CACH
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Apache Spark commented on SPARK-4902:
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User 'witgo' has created a pull request for thi
Cheng Hao created SPARK-4904:
Summary: Remove the foldable checking in HiveGenericUdf.eval
Key: SPARK-4904
URL: https://issues.apache.org/jira/browse/SPARK-4904
Project: Spark
Issue Type: Improve
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Apache Spark commented on SPARK-4904:
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User 'chenghao-intel' has created a pull reques
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William Benton commented on SPARK-4867:
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[~marmbrus] I actually think exposing an in
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Josh Rosen updated SPARK-4901:
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Assignee: Cheng Hao
> Hot fix for the BytesWritable.copyBytes not exists in Hadoop1
> --
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Josh Rosen resolved SPARK-4901.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 3742
[https://github.com/
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Ted Malaska commented on SPARK-2447:
Hey guy,
Just wanted to update this jira. In su
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Josh Rosen updated SPARK-3686:
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Labels: flaky-test (was: )
> flume.SparkSinkSuite.Success is flaky
> --
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Josh Rosen updated SPARK-3912:
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Labels: flaky-test (was: )
> FlumeStreamSuite is flaky, fails either with port binding issues or data n
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Josh Rosen updated SPARK-1603:
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Labels: flaky-test (was: )
> flaky test case in StreamingContextSuite
> ---
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Josh Rosen updated SPARK-4053:
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Labels: flaky-test (was: )
> Block generator throttling in NetworkReceiverSuite is flaky
>
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Josh Rosen updated SPARK-1158:
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Labels: flaky-test (was: )
> Fix flaky RateLimitedOutputStreamSuite
> -
Josh Rosen created SPARK-4905:
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Summary: Flaky FlumeStreamSuite test:
org.apache.spark.streaming.flume.FlumeStreamSuite.flume input stream
Key: SPARK-4905
URL: https://issues.apache.org/jira/browse/SPARK-4905
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Arnab commented on SPARK-4869:
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Can you kindly clarify what DAYS_30 refers to.
I tried out a
Mingyu Kim created SPARK-4906:
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Summary: Spark master OOMs with exception stack trace stored in
JobProgressListener
Key: SPARK-4906
URL: https://issues.apache.org/jira/browse/SPARK-4906
Project: Spark
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Apache Spark commented on SPARK-4896:
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User 'ryan-williams' has created a pull request
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Michael Armbrust updated SPARK-4903:
Target Version/s: 1.3.0
> RDD remains cached after "DROP TABLE"
> --
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Michael Armbrust commented on SPARK-4892:
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I'll add that the right fix here is pro
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Michael Armbrust updated SPARK-4892:
Target Version/s: 1.3.0
> java.io.FileNotFound exceptions when creating EXTERNAL hive tables
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Michael Armbrust updated SPARK-4892:
Labels: starter (was: )
> java.io.FileNotFound exceptions when creating EXTERNAL hive table
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Michael Armbrust updated SPARK-4520:
Target Version/s: 1.3.0 (was: 1.2.0)
> SparkSQL exception when reading certain columns from
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Michael Armbrust updated SPARK-4850:
Description:
Code in Spark Shell as follows:
{code}
val sqlContext = new org.apache.spark.s
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Michael Armbrust updated SPARK-4850:
Assignee: Cheng Lian
> "GROUP BY" can't work if the schema of SchemaRDD contains struct or a
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Michael Armbrust updated SPARK-4850:
Target Version/s: 1.3.0 (was: 1.2.0)
> "GROUP BY" can't work if the schema of SchemaRDD con
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Michael Armbrust updated SPARK-4811:
Target Version/s: 1.3.0 (was: 1.2.0)
> Custom UDTFs not working in Spark SQL
>
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Michael Armbrust updated SPARK-4553:
Target Version/s: 1.3.0 (was: 1.2.0)
> query for parquet table with string fields in spark
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Michael Armbrust updated SPARK-3863:
Target Version/s: 1.3.0 (was: 1.2.0)
> Cache broadcasted tables and reuse them across queri
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Michael Armbrust updated SPARK-3862:
Target Version/s: 1.3.0 (was: 1.2.0)
> MultiWayBroadcastInnerHashJoin
> ---
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Michael Armbrust updated SPARK-3865:
Target Version/s: 1.3.0 (was: 1.2.0)
> Dimension table broadcast shouldn't be eager
> -
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Michael Armbrust updated SPARK-3864:
Target Version/s: 1.3.0 (was: 1.2.0)
> Specialize join for tables with unique integer keys
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Michael Armbrust commented on SPARK-4794:
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Ping.
> Wrong parse of GROUP BY query
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Michael Armbrust updated SPARK-4904:
Target Version/s: 1.3.0
> Remove the foldable checking in HiveGenericUdf.eval
>
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Michael Armbrust updated SPARK-4689:
Labels: 1.0.3 (was: )
> Unioning 2 SchemaRDDs should return a SchemaRDD in Python, Scala, a
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Michael Armbrust updated SPARK-4801:
Description:
This is a request to add CTE functionality to HiveContext. Common Table
Expre
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Michael Armbrust updated SPARK-4801:
Target Version/s: 1.3.0
> Add CTE capability to HiveContext
> --
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Michael Armbrust resolved SPARK-4735.
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Resolution: Fixed
Fix Version/s: 1.3.0
Assignee: Cheng Hao
> Spark SQL UDF
DB Tsai created SPARK-4907:
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Summary: Inconsistent loss and gradient in LeastSquaresGradient
compared with R
Key: SPARK-4907
URL: https://issues.apache.org/jira/browse/SPARK-4907
Project: Spark
Iss
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Apache Spark commented on SPARK-4907:
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User 'dbtsai' has created a pull request for th
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Michael Armbrust commented on SPARK-4865:
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Temporary tables are tied to a specific
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Michael Armbrust resolved SPARK-4762.
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Resolution: Won't Fix
This issue can be reopened if the hive parser is ever extended to su
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Reynold Xin updated SPARK-2075:
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Assignee: Shixiong Zhu
> Anonymous classes are missing from Spark distribution
> -
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Misha Chernetsov commented on SPARK-4865:
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> Or are you creating a JDBC server wit
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Michael Armbrust updated SPARK-4636:
Target Version/s: 1.3.0
> Cluster By & Distribute By output different with Hive
> --
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Michael Armbrust commented on SPARK-4589:
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Can you elaborate what you are thinking
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Michael Armbrust updated SPARK-2973:
Target Version/s: 1.3.0 (was: 1.2.0)
> Add a way to show tables without executing a job
> -
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Michael Armbrust commented on SPARK-2973:
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I think the solution here is to also sp
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Michael Armbrust updated SPARK-4865:
Summary: Include temporary tables in SHOW TABLES (was: rdds exposed to sql
context via regi
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Michael Armbrust updated SPARK-4865:
Priority: Critical (was: Major)
> Include temporary tables in SHOW TABLES
> ---
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Michael Armbrust updated SPARK-4865:
Target Version/s: 1.3.0
> Include temporary tables in SHOW TABLES
>
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Michael Armbrust updated SPARK-4629:
Target Version/s: 1.3.0
> Spark SQL uses Hadoop Configuration in a thread-unsafe manner when
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Michael Armbrust updated SPARK-4760:
Target Version/s: 1.3.0
Affects Version/s: (was: 1.3.0)
> "ANALYZE TABLE table COMP
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Michael Armbrust updated SPARK-4689:
Labels: starter (was: 1.0.3)
> Unioning 2 SchemaRDDs should return a SchemaRDD in Python, S
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Michael Armbrust updated SPARK-4760:
Priority: Critical (was: Major)
> "ANALYZE TABLE table COMPUTE STATISTICS noscan" failed es
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Michael Armbrust updated SPARK-4689:
Target Version/s: 1.3.0
> Unioning 2 SchemaRDDs should return a SchemaRDD in Python, Scala,
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Michael Armbrust updated SPARK-4648:
Target Version/s: 1.3.0
Assignee: Ravindra Pesala
> Support COALESCE function in
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Michael Armbrust commented on SPARK-4564:
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It is however consistent with SQL, wher
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Michael Armbrust resolved SPARK-4564.
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Resolution: Won't Fix
I'm going to close this wontfix unless there is major objection. Ha
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Michael Armbrust updated SPARK-4502:
Priority: Critical (was: Major)
Target Version/s: 1.3.0
> Spark SQL reads unnec
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Michael Armbrust updated SPARK-4476:
Target Version/s: 1.3.0
> Use MapType for dict in json which has unique keys in each row.
>
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Michael Armbrust commented on SPARK-4367:
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So we already do this for SUM and COUNT
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Michael Armbrust resolved SPARK-4469.
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Resolution: Fixed
Assignee: Cheng Hao
> Move the SemanticAnalyzer from Physical Exec
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Michael Armbrust updated SPARK-4657:
Summary: Suport storing decimals in Parquet that don't fit in a LONG (was:
RuntimeException
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Michael Armbrust updated SPARK-4657:
Target Version/s: 1.3.0
Issue Type: Improvement (was: Bug)
> Suport storing decim
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https://issues.apache.org/jira/browse/SPARK-4176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4176:
Target Version/s: 1.3.0
> Support decimals with precision > 18 in Parquet
>
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https://issues.apache.org/jira/browse/SPARK-4657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4657.
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Resolution: Duplicate
> Suport storing decimals in Parquet that don't fit in a LONG
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https://issues.apache.org/jira/browse/SPARK-4512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4512:
Target Version/s: 1.3.0
> Unresolved Attribute Exception for sort by
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https://issues.apache.org/jira/browse/SPARK-4302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4302:
Target Version/s: 1.3.0
> Make jsonRDD/jsonFile support more field data types
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https://issues.apache.org/jira/browse/SPARK-4296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4296:
Priority: Critical (was: Major)
> Throw "Expression not in GROUP BY" when using same expres
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https://issues.apache.org/jira/browse/SPARK-4296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-4296:
Target Version/s: 1.3.0
> Throw "Expression not in GROUP BY" when using same expression in g
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https://issues.apache.org/jira/browse/SPARK-4209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4209.
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Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Michael Armbrust
Fixed he
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https://issues.apache.org/jira/browse/SPARK-4201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4201.
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Resolution: Fixed
Fix Version/s: 1.2.0
Since this was reported working in master I'
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https://issues.apache.org/jira/browse/SPARK-4135?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4135.
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Resolution: Won't Fix
Assignee: Michael Armbrust
> Error reading Parquet file genera
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https://issues.apache.org/jira/browse/SPARK-4135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14254035#comment-14254035
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Michael Armbrust commented on SPARK-4135:
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The problem here is you have to columns
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https://issues.apache.org/jira/browse/SPARK-4248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4248.
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Resolution: Fixed
Fix Version/s: 1.2.0
> [SQL] spark sql not support add jar
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https://issues.apache.org/jira/browse/SPARK-4317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14254039#comment-14254039
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Michael Armbrust commented on SPARK-4317:
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Is this still a problem in recent versi
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https://issues.apache.org/jira/browse/SPARK-3851?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-3851:
Priority: Critical (was: Major)
Target Version/s: 1.3.0
Issue Type: Im
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https://issues.apache.org/jira/browse/SPARK-3295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-3295.
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Resolution: Won't Fix
These are actually different operations. UnionAll is similar to the
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