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Apache Spark reassigned SPARK-17166:
Assignee: (was: Apache Spark)
> CTAS lost table properties after conversion to data
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Apache Spark commented on SPARK-17166:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17166:
Assignee: Apache Spark
> CTAS lost table properties after conversion to data source
Xiao Li created SPARK-17166:
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Summary: CTAS lost table properties after conversion to data
source tables.
Key: SPARK-17166
URL: https://issues.apache.org/jira/browse/SPARK-17166
Project: Spark
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Weiqing Yang commented on SPARK-16757:
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Thanks, [~srowen]. When Spark applications run on HDFS, if
Reynold Xin created SPARK-17165:
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Summary: FileStreamSource should not track the list of seen files
indefinitely
Key: SPARK-17165
URL: https://issues.apache.org/jira/browse/SPARK-17165
Project: Spark
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Wenchen Fan updated SPARK-17150:
Assignee: Peter Lee
> Support SQL generation for inline tables
>
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Wenchen Fan resolved SPARK-17150.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Apache Spark commented on SPARK-16862:
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User 'tejasapatil' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-16264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin closed SPARK-16264.
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Resolution: Won't Fix
> Allow the user to use operators on the received DataFrame
>
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Yanbo Liang commented on SPARK-17134:
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[~qhuang] Please feel free to take this task and do the
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Reynold Xin commented on SPARK-17164:
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I tried in Postgres:
{code}
rxin=# create table a:b (id int);
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Reynold Xin commented on SPARK-17164:
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This is actually valid?
> Query with colon in the table name
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Sital Kedia commented on SPARK-17164:
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cc - [~hvanhovell], [~rxin]
> Query with colon in the table
Sital Kedia created SPARK-17164:
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Summary: Query with colon in the table name fails to parse in 2.0
Key: SPARK-17164
URL: https://issues.apache.org/jira/browse/SPARK-17164
Project: Spark
Issue
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Reynold Xin resolved SPARK-17158.
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Resolution: Fixed
Assignee: Srinath
Fix Version/s: 2.1.0
2.0.1
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Reynold Xin resolved SPARK-17149.
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Resolution: Fixed
Assignee: Peter Lee
Fix Version/s: 2.1.0
Seth Hendrickson created SPARK-17163:
Summary: Decide on unified multinomial and binary logistic
regression interfaces
Key: SPARK-17163
URL: https://issues.apache.org/jira/browse/SPARK-17163
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DB Tsai commented on SPARK-17151:
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[~sethah] I think it sort of makes sense that we allow users to
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DB Tsai commented on SPARK-17151:
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BTW, not only the zero coefficients issues but also the intercepts
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DB Tsai edited comment on SPARK-17151 at 8/19/16 11:49 PM:
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Not only the zero
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Apache Spark reassigned SPARK-17161:
Assignee: (was: Apache Spark)
> Add PySpark-ML JavaWrapper convenience function to
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Apache Spark commented on SPARK-17161:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-17161:
Assignee: Apache Spark
> Add PySpark-ML JavaWrapper convenience function to create py4j
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https://issues.apache.org/jira/browse/SPARK-17136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15429039#comment-15429039
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DB Tsai commented on SPARK-17136:
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Typically, the first order optimizer will take a function which
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Bryan Cutler updated SPARK-17161:
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Summary: Add PySpark-ML JavaWrapper convenience function to create py4j
JavaArrays (was: Add
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DB Tsai edited comment on SPARK-17137 at 8/19/16 11:16 PM:
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Currently, for LiR
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DB Tsai commented on SPARK-17137:
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Currently, for LiR or BLOR, we always do `Vector.compressed` which is
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Apache Spark reassigned SPARK-17162:
Assignee: (was: Apache Spark)
> Range does not support SQL generation
>
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https://issues.apache.org/jira/browse/SPARK-17162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15429018#comment-15429018
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Apache Spark commented on SPARK-17162:
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User 'ericl' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17162:
Assignee: Apache Spark
> Range does not support SQL generation
>
Eric Liang created SPARK-17162:
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Summary: Range does not support SQL generation
Key: SPARK-17162
URL: https://issues.apache.org/jira/browse/SPARK-17162
Project: Spark
Issue Type: Bug
Bryan Cutler created SPARK-17161:
Summary: Add PySpark-ML JavaWrapper convienience function to
create py4j JavaArrays
Key: SPARK-17161
URL: https://issues.apache.org/jira/browse/SPARK-17161
Project:
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DB Tsai commented on SPARK-17140:
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Since we're doing smoothing, the intercepts computed from priors with
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Nicholas Chammas commented on SPARK-17025:
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{quote}
We'd need to figure out a good design for
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Sean Owen resolved SPARK-17128.
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Resolution: Invalid
Target Version/s: (was: 2.0.0)
This is not a reasonable description
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Joseph K. Bradley commented on SPARK-17025:
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I'd call this a new API, not a bug. This kind of
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Joseph K. Bradley updated SPARK-17025:
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Issue Type: New Feature (was: Bug)
> Cannot persist PySpark ML Pipeline model that
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the DSE (Datastax enterprise) spark
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the DSE (Datastax enterprise) spark
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the DSE (Datastax enterprise) spark
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https://issues.apache.org/jira/browse/SPARK-16443?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-16443.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14384
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DB Tsai edited comment on SPARK-17134 at 8/19/16 9:21 PM:
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It may also worth to
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DB Tsai commented on SPARK-17134:
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{code:borderStyle=solid}
val margins = Array.ofDim[Double](numClasses)
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Davies Liu closed SPARK-16569.
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Resolution: Won't Fix
> Use Cython to speed up Pyspark internals
>
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Davies Liu commented on SPARK-16569:
Agreed to [~robert3005]. Another options could be just use PyPy,
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Apache Spark commented on SPARK-13286:
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User 'davies' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13342?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428753#comment-15428753
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Dongjoon Hyun commented on SPARK-13342:
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Hi, All.
Just to make this issue up-to-date, the following
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Xin Ren commented on SPARK-17157:
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I guess a lot more ml algorithms are still missing R wrappers?
> Add
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Iaroslav Zeigerman commented on SPARK-17024:
Issue occurs only when reading the dataset from
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Iaroslav Zeigerman updated SPARK-17024:
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Affects Version/s: (was: 1.6.0)
2.0.0
> Weird behaviour
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Iaroslav Zeigerman reopened SPARK-17024:
The issue occurs in Spark 2.0.0. Now it's even worse. I can't even get an rdd
from a
Josh Rosen created SPARK-17160:
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Summary: GetExternalRowField does not properly escape field names,
causing generated code not to compile
Key: SPARK-17160
URL: https://issues.apache.org/jira/browse/SPARK-17160
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https://issues.apache.org/jira/browse/SPARK-17159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428677#comment-15428677
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Steve Loughran commented on SPARK-17159:
# the most minimal change is to get rid of that
Steve Loughran created SPARK-17159:
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Summary: Improve FileInputDStream.findNewFiles list performance
Key: SPARK-17159
URL: https://issues.apache.org/jira/browse/SPARK-17159
Project: Spark
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Dongjoon Hyun commented on SPARK-10746:
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Just as an update, Spark 2.0 now raises an exception for
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Davies Liu updated SPARK-17113:
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Assignee: Sital Kedia
> Job failure due to Executor OOM in offheap mode
>
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Davies Liu resolved SPARK-17113.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Job failure due to
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Apache Spark reassigned SPARK-17158:
Assignee: Apache Spark
> Improve error message for numeric literal parsing
>
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Apache Spark reassigned SPARK-17158:
Assignee: (was: Apache Spark)
> Improve error message for numeric literal parsing
>
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Apache Spark commented on SPARK-17158:
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User 'srinathshankar' has created a pull request for this
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Davies Liu reassigned SPARK-13286:
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Assignee: Davies Liu
> JDBC driver doesn't report full exception
>
Srinath created SPARK-17158:
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Summary: Improve error message for numeric literal parsing
Key: SPARK-17158
URL: https://issues.apache.org/jira/browse/SPARK-17158
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-15382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-15382:
Fix Version/s: 2.1.0
2.0.1
> monotonicallyIncreasingId doesn't work when data
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https://issues.apache.org/jira/browse/SPARK-16686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-16686:
Fix Version/s: 2.0.1
> Dataset.sample with seed: result seems to depend on downstream usage
>
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Xusen Yin commented on SPARK-14381:
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I believe we can resolve this.
> Review spark.ml parity for
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Michael Gummelt commented on SPARK-10401:
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This should probably be a separate JIRA, but I'm just
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Miao Wang updated SPARK-17157:
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Component/s: SparkR
> Add multiclass logistic regression SparkR Wrapper
>
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Apache Spark commented on SPARK-12868:
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User 'Parth-Brahmbhatt' has created a pull request for this
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Miao Wang commented on SPARK-17157:
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[~felixcheung] Shall we add it to SparkR? I open this JIRA for
Miao Wang created SPARK-17157:
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Summary: Add multiclass logistic regression SparkR Wrapper
Key: SPARK-17157
URL: https://issues.apache.org/jira/browse/SPARK-17157
Project: Spark
Issue Type: New
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Miao Wang commented on SPARK-17156:
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I will submit PR soon.
> Add multiclass logistic regression Scala
Miao Wang created SPARK-17156:
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Summary: Add multiclass logistic regression Scala Example
Key: SPARK-17156
URL: https://issues.apache.org/jira/browse/SPARK-17156
Project: Spark
Issue Type: Task
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:java}
case class
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:scala}
case class
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Mikael Valot updated SPARK-17155:
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Description:
The following code throws an exception in the spark shell:
{code:java}
case class
Mikael Valot created SPARK-17155:
Summary: usage of a Dataset inside a Future throws
MissingRequirementError
Key: SPARK-17155
URL: https://issues.apache.org/jira/browse/SPARK-17155
Project: Spark
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Dongjoon Hyun closed SPARK-16152.
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Resolution: Invalid
Hi, [~fushar].
This seems to be a SQL question. [~kevinyu98] is right.
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Reynold Xin closed SPARK-15382.
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Resolution: Fixed
> monotonicallyIncreasingId doesn't work when data is upsampled
>
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Bryan Cutler resolved SPARK-16197.
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Resolution: Won't Fix
This minor change is would be better addressed during a QA audit
>
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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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Bryan Cutler updated SPARK-15018:
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Description:
When fitting a PySpark Pipeline with no stages, it should work as an identity
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Bryan Cutler updated SPARK-15018:
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Summary: PySpark ML Pipeline raises unclear error when no stages set (was:
PySpark ML Pipeline
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Bryan Cutler updated SPARK-15018:
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Issue Type: Improvement (was: Bug)
> PySpark ML Pipeline fails when no stages set
>
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Bryan Cutler updated SPARK-15018:
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Priority: Minor (was: Major)
> PySpark ML Pipeline fails when no stages set
>
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Apache Spark reassigned SPARK-17154:
Assignee: Apache Spark
> Wrong result can be returned or AnalysisException can be thrown
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Apache Spark reassigned SPARK-17154:
Assignee: (was: Apache Spark)
> Wrong result can be returned or AnalysisException can
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https://issues.apache.org/jira/browse/SPARK-17154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428438#comment-15428438
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Apache Spark commented on SPARK-17154:
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User 'sarutak' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428401#comment-15428401
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Gayathri Murali commented on SPARK-17135:
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I can work on this
> Consolidate code in
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https://issues.apache.org/jira/browse/SPARK-13331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin reopened SPARK-13331:
> Spark network encryption optimization
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>
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Kousuke Saruta created SPARK-17154:
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Summary: Wrong result can be returned or AnalysisException can be
thrown after self-join or similar operations
Key: SPARK-17154
URL:
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https://issues.apache.org/jira/browse/SPARK-17139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428339#comment-15428339
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Seth Hendrickson commented on SPARK-17139:
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SPARK-7159 has been merged, as an FYI. I can review
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https://issues.apache.org/jira/browse/SPARK-17140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428338#comment-15428338
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Seth Hendrickson commented on SPARK-17140:
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Going to hold off for a little bit to see what
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https://issues.apache.org/jira/browse/SPARK-11227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated SPARK-11227:
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Assignee: Kousuke Saruta
> Spark1.5+ HDFS HA mode throw java.net.UnknownHostException:
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https://issues.apache.org/jira/browse/SPARK-16673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves resolved SPARK-16673.
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Resolution: Fixed
Fix Version/s: 2.1.0
> New Executor Page displays columns that used
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https://issues.apache.org/jira/browse/SPARK-11227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves resolved SPARK-11227.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Spark1.5+ HDFS HA
Dmitri Carpov created SPARK-17153:
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Summary: [Structured streams] readStream ignores partition columns
Key: SPARK-17153
URL: https://issues.apache.org/jira/browse/SPARK-17153
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-16673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated SPARK-16673:
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Assignee: Alex Bozarth
> New Executor Page displays columns that used to be conditionally
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https://issues.apache.org/jira/browse/SPARK-17153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dmitri Carpov updated SPARK-17153:
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Description:
When parquet files are persisted using partitions, spark's `readStream` returns
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https://issues.apache.org/jira/browse/SPARK-17148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428289#comment-15428289
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Thomas Graves commented on SPARK-17148:
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If this is causing the nodemanager to die this is bad and
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