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Apache Spark reassigned SPARK-12196:
Assignee: (was: Apache Spark)
> Store blocks in storage devices with hierarchy way
> -
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Yanbo Liang updated SPARK-12144:
Description:
Currently we support read.df, write.df, jsonFile, parquetFile in SQLContext, we
shoul
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Apache Spark commented on SPARK-12196:
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User 'yucai' has created a pull request for
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Yanbo Liang updated SPARK-12144:
Description:
Currently we support read.df, write.df, jsonFile, parquetFile in SQLContext, we
shoul
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https://issues.apache.org/jira/browse/SPARK-12196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12196:
Assignee: Apache Spark
> Store blocks in storage devices with hierarchy way
>
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https://issues.apache.org/jira/browse/SPARK-12198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-12198:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-12144
> SparkR support read.parquet
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Xiangrui Meng resolved SPARK-11957.
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Resolution: Fixed
Fix Version/s: 1.6.1
Issue resolved by pull request 10006
[https://g
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Xiangrui Meng resolved SPARK-11958.
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Resolution: Fixed
Fix Version/s: 1.6.1
Issue resolved by pull request 10006
[https://g
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Yanbo Liang updated SPARK-12144:
Description: Currently we support read.df, write.df, jsonFile, parquetFile
in SQLContext, we should
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Apache Spark reassigned SPARK-12198:
Assignee: Apache Spark
> SparkR support read.parquet and deprecate parquetFile
> -
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Apache Spark commented on SPARK-12198:
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User 'yanboliang' has created a pull request
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Apache Spark reassigned SPARK-12198:
Assignee: (was: Apache Spark)
> SparkR support read.parquet and deprecate parquetFile
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Rotem Shaul commented on SPARK-12197:
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Implemented solution as described above.
Added
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Xiangrui Meng resolved SPARK-10259.
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Resolution: Fixed
Fix Version/s: 1.6.1
Issue resolved by pull request 8534
[https://gi
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Apache Spark reassigned SPARK-12197:
Assignee: Apache Spark
> Kryo's Avro Serializer add support for dynamic schemas using Sche
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Apache Spark commented on SPARK-12197:
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User 'RotemShaul' has created a pull request
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Yanbo Liang updated SPARK-12144:
Summary: Support more external data source API in SparkR (was: Implement
DataFrameReader and Data
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Apache Spark reassigned SPARK-12197:
Assignee: (was: Apache Spark)
> Kryo's Avro Serializer add support for dynamic schemas
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https://issues.apache.org/jira/browse/SPARK-12199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046527#comment-15046527
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Xusen Yin commented on SPARK-12199:
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I am working on it
> Follow-up: Refine example co
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Xusen Yin updated SPARK-12199:
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Fix Version/s: (was: 1.6.1)
> Follow-up: Refine example code in ml-features.md
> --
Xusen Yin created SPARK-12199:
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Summary: Follow-up: Refine example code in ml-features.md
Key: SPARK-12199
URL: https://issues.apache.org/jira/browse/SPARK-12199
Project: Spark
Issue Type: Sub-ta
Yanbo Liang created SPARK-12198:
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Summary: SparkR support read.parquet and deprecate parquetFile
Key: SPARK-12198
URL: https://issues.apache.org/jira/browse/SPARK-12198
Project: Spark
Issue Typ
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https://issues.apache.org/jira/browse/SPARK-12160?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12160.
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Resolution: Fixed
Fix Version/s: (was: 1.6.1)
1.5.3
Issue resol
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Xiangrui Meng updated SPARK-12160:
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Target Version/s: 1.5.3, 1.6.1 (was: 1.4.2, 1.5.3, 1.6.1)
> spark.mllib should use SQLContext.
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Xiangrui Meng updated SPARK-12160:
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Fix Version/s: 1.6.1
> spark.mllib should use SQLContext.getOrCreate
>
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Xiangrui Meng updated SPARK-11964:
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Shepherd: Joseph K. Bradley
> Create user guide section explaining export/import
>
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Xiangrui Meng updated SPARK-11551:
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Assignee: somil deshmukh
> Replace example code in ml-features.md using include_example
> -
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Xiangrui Meng resolved SPARK-11551.
---
Resolution: Fixed
Fix Version/s: 1.6.1
Issue resolved by pull request 10002
[https://g
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Rotem Shaul updated SPARK-12197:
Description:
The original problem: Serializing GenericRecords in Spark Core results in a
very high
Rotem Shaul created SPARK-12197:
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Summary: Kryo's Avro Serializer add support for dynamic schemas
using SchemaRepository
Key: SPARK-12197
URL: https://issues.apache.org/jira/browse/SPARK-12197
Project:
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https://issues.apache.org/jira/browse/SPARK-10290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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pin_zhang closed SPARK-10290.
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not a bug
> Spark can register temp table and hive table with the same table name
>
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yucai updated SPARK-12196:
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Description:
Problem:
Nowadays, users have both SSDs and HDDs.
SSDs have great performance, but capaci
yucai created SPARK-12196:
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Summary: Store blocks in storage devices with hierarchy way
Key: SPARK-12196
URL: https://issues.apache.org/jira/browse/SPARK-12196
Project: Spark
Issue Type: New Feature
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Xu Chen commented on SPARK-11487:
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{code}
java.lang.OutOfMemoryError: Java heap space
{
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Apache Spark commented on SPARK-12170:
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User 'yanboliang' has created a pull request
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Apache Spark reassigned SPARK-12170:
Assignee: Apache Spark
> Deprecate the JAVA-specific deserialized storage levels
> ---
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Apache Spark reassigned SPARK-12170:
Assignee: (was: Apache Spark)
> Deprecate the JAVA-specific deserialized storage level
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https://issues.apache.org/jira/browse/SPARK-11928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046393#comment-15046393
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Xu Chen commented on SPARK-11928:
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hi guys this issue have fixed at newly version
> Mas
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Sun Rui commented on SPARK-12144:
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[~yanboliang] go ahead. Could you please change the t
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Felix Cheung commented on SPARK-12172:
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Sure. What are the uses for RDD stuff you ha
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Felix Cheung updated SPARK-12172:
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Summary: Consider removing SparkR internal RDD APIs (was: Remove SparkR
internal RDD APIs)
> Co
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https://issues.apache.org/jira/browse/SPARK-12195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046365#comment-15046365
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Apache Spark commented on SPARK-12195:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-12195:
Assignee: (was: Apache Spark)
> Adding BigDecimal, Date and Timestamp into Encoder
> -
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Apache Spark reassigned SPARK-12195:
Assignee: Apache Spark
> Adding BigDecimal, Date and Timestamp into Encoder
>
Xiao Li created SPARK-12195:
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Summary: Adding BigDecimal, Date and Timestamp into Encoder
Key: SPARK-12195
URL: https://issues.apache.org/jira/browse/SPARK-12195
Project: Spark
Issue Type: Improvem
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Apache Spark reassigned SPARK-12194:
Assignee: Apache Spark
> Add Sink for reporting Spark Metrics to OpenTSDB
> --
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Apache Spark commented on SPARK-12194:
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User 'kapilsingh5050' has created a pull req
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Apache Spark reassigned SPARK-12194:
Assignee: (was: Apache Spark)
> Add Sink for reporting Spark Metrics to OpenTSDB
> ---
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https://issues.apache.org/jira/browse/SPARK-12194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046331#comment-15046331
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Kapil Singh commented on SPARK-12194:
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I'm working on this.
> Add Sink for reporting
Kapil Singh created SPARK-12194:
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Summary: Add Sink for reporting Spark Metrics to OpenTSDB
Key: SPARK-12194
URL: https://issues.apache.org/jira/browse/SPARK-12194
Project: Spark
Issue Type: Ne
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stefan updated SPARK-12190:
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Summary: spark does not start cleanly windows 7 64 bit (was: spark does
not star cleanly windows 7 64 bit)
himanshu singhal created SPARK-12193:
Summary: Spark-Submit from node.js and call the process
Key: SPARK-12193
URL: https://issues.apache.org/jira/browse/SPARK-12193
Project: Spark
Issue
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Yanbo Liang commented on SPARK-12144:
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I'm working on SPARK-12146 which is similar wi
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Apache Spark commented on SPARK-11923:
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User 'yinxusen' has created a pull request f
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Apache Spark reassigned SPARK-11923:
Assignee: (was: Apache Spark)
> Python API for ml.feature.ChiSqSelector
>
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Apache Spark reassigned SPARK-11923:
Assignee: Apache Spark
> Python API for ml.feature.ChiSqSelector
> ---
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jinglei.chen edited comment on SPARK-12192 at 12/8/15 3:49 AM:
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Xusen Yin closed SPARK-11987.
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Resolution: Duplicate
> Python API update for ChiSqSelector and QuantileDiscretizer
> ---
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Apache Spark commented on SPARK-12136:
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User 'bomeng' has created a pull request for
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Apache Spark reassigned SPARK-12136:
Assignee: Apache Spark
> rddToFileName does not properly handle prefix and suffix paramete
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Apache Spark reassigned SPARK-12136:
Assignee: (was: Apache Spark)
> rddToFileName does not properly handle prefix and suff
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jinglei.chen updated SPARK-12192:
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Description:
recommendProductsForUsers(num: Int) can run OK when the dataset is small,but
run wr
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jinglei.chen updated SPARK-12192:
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Description:
recommendProductsForUsers(num: Int) can run OK when the dataset is small,but
run wr
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jinglei.chen edited comment on SPARK-12192 at 12/8/15 3:33 AM:
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jinglei.chen commented on SPARK-12192:
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recommendProductsForUsers(num: Int) can run
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https://issues.apache.org/jira/browse/SPARK-12191?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-12191:
Description:
Currently if you specify the inputCol/outputCol with names which include dot,
it will
jinglei.chen created SPARK-12192:
Summary: recommendProductsForUsers(num: Int) can run OK when the
dataset is small,but run wrong when large amount of data
Key: SPARK-12192
URL: https://issues.apache.org/jira/bro
Yanbo Liang created SPARK-12191:
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Summary: Support "." character in DataFrame column name for ML
Key: SPARK-12191
URL: https://issues.apache.org/jira/browse/SPARK-12191
Project: Spark
Issue Typ
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https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046269#comment-15046269
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Nakul Jindal commented on SPARK-11046:
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I am trying to understand the benefit of doi
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Yanbo Liang commented on SPARK-11977:
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I think the check for interfere with the exist
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jinglei.chen commented on SPARK-10802:
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recommendProductsForUsers(num: Int): RDD[(In
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stefan updated SPARK-12190:
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Description:
See environment description above for all my PATH info and ENV variables.
Hadoop is not compiled
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Tao Li updated SPARK-12179:
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Comment: was deleted
(was: I see there was some exceptions in my executors stderr log:
15/12/08 00:47:44 INF
stefan created SPARK-12190:
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Summary: spark does not star cleanly windows 7 64 bit
Key: SPARK-12190
URL: https://issues.apache.org/jira/browse/SPARK-12190
Project: Spark
Issue Type: Bug
Co
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Tao Li edited comment on SPARK-12179 at 12/8/15 3:00 AM:
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I see t
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Tao Li commented on SPARK-12179:
I see there was some exceptions in my executors stderr l
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Tao Li updated SPARK-12179:
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Comment: was deleted
(was: yes, my spark version is 1.5.3-SNAPSHOT,and the issue SPARK-11009 is
already fixe
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Tao Li updated SPARK-12179:
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Comment: was deleted
(was: yes, my spark version is 1.5.3-SNAPSHOT,and the issue SPARK-11009 is
already fixe
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Tao Li commented on SPARK-12179:
yes, my spark version is 1.5.3-SNAPSHOT,and the issue SP
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Tao Li commented on SPARK-12179:
yes, my spark version is 1.5.3-SNAPSHOT,and the issue SP
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Tao Li commented on SPARK-12179:
yes, my spark version is 1.5.3-SNAPSHOT,and the issue SP
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Apache Spark commented on SPARK-12189:
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User 'JoshRosen' has created a pull request
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Apache Spark reassigned SPARK-12189:
Assignee: Josh Rosen (was: Apache Spark)
> UnifiedMemoryManager double counts storage mem
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Apache Spark reassigned SPARK-12189:
Assignee: Apache Spark (was: Josh Rosen)
> UnifiedMemoryManager double counts storage mem
Andrew Or created SPARK-12189:
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Summary: UnifiedMemoryManager double counts storage memory freed
Key: SPARK-12189
URL: https://issues.apache.org/jira/browse/SPARK-12189
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-12176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046205#comment-15046205
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Marcelo Vanzin commented on SPARK-12176:
As I tried to explain, you need to show
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Yuhang Chen updated SPARK-12176:
Description:
The spark-submit uses '--conf K=V' pattern for setting configs. According to
the docs
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Apache Spark reassigned SPARK-12188:
Assignee: Apache Spark
> [SQL] Code refactoring and comment correction in Dataset APIs
> -
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Apache Spark reassigned SPARK-12188:
Assignee: (was: Apache Spark)
> [SQL] Code refactoring and comment correction in Datas
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Apache Spark commented on SPARK-12188:
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User 'gatorsmile' has created a pull request
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Yuhang Chen updated SPARK-12176:
Description:
The spark-submit uses '--conf K=V' pattern for setting configs. According to
the docs
Xiao Li created SPARK-12188:
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Summary: [SQL] Code refactoring and comment correction in Dataset
APIs
Key: SPARK-12188
URL: https://issues.apache.org/jira/browse/SPARK-12188
Project: Spark
Issue Ty
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Yuhang Chen updated SPARK-12176:
Description:
The spark-submit uses '--conf K=V' pattern for setting configs. According to
the docs
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https://issues.apache.org/jira/browse/SPARK-10299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-10299:
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Assignee: holdenk
> word2vec should allow users to specify the window size
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https://issues.apache.org/jira/browse/SPARK-12159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-12159:
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Shepherd: Joseph K. Bradley
> Add user guide section for IndexToString transformer
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https://issues.apache.org/jira/browse/SPARK-12159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-12159:
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Assignee: Benjamin Fradet
> Add user guide section for IndexToString transformer
>
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Yuhang Chen updated SPARK-12176:
Description:
The spark-submit uses '--conf K=V' pattern for setting configs. According to
the docs
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Yuhang Chen commented on SPARK-12176:
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I modified the descriptions, hope I've made my
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Yuhang Chen updated SPARK-12176:
Description:
The spark-submit uses '--conf K=V' pattern for setting configs. According to
the docs
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https://issues.apache.org/jira/browse/SPARK-12183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046094#comment-15046094
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Seth Hendrickson commented on SPARK-12183:
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Do you mean these are lower priority
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