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Saurabh Agrawal edited comment on SPARK-21476 at 7/20/17 5:21 AM:
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I'm
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Saurabh Agrawal edited comment on SPARK-21476 at 7/20/17 5:16 AM:
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I'm
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Saurabh Agrawal edited comment on SPARK-21476 at 7/20/17 5:15 AM:
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I'm
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Saurabh Agrawal commented on SPARK-21476:
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I'm saying that the trees in the model get serialized
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Takuya Ueshin resolved SPARK-16542.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18444
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Takuya Ueshin reassigned SPARK-16542:
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Assignee: Xiang Gao
> bugs about types that result an array of null when creating
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Abhijit Bhole updated SPARK-21034:
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Description:
Here is a sample code -
{code:java}
from pyspark.sql import functions as F
df
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Abhijit Bhole updated SPARK-21479:
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Description:
Here are two different query plans -
{code:java}
df1 =
Abhijit Bhole created SPARK-21479:
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Summary: Outer join filter pushdown in null supplying table when
condition is on one of the joined columns
Key: SPARK-21479
URL:
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Peng Meng commented on SPARK-2465:
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I think it is time to revisit this now. Some of our customers, such
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Carson Wang commented on SPARK-9860:
We are working on this and also improving the current
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Hyukjin Kwon resolved SPARK-21437.
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Resolution: Not A Bug
> Java Keyword cannot be used in table schema
>
Roberto Mirizzi created SPARK-21478:
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Summary: Unpersist a DF also unpersist related DFs
Key: SPARK-21478
URL: https://issues.apache.org/jira/browse/SPARK-21478
Project: Spark
Issue Type:
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Roberto Mirizzi updated SPARK-21478:
Summary: Unpersist a DF also unpersists related DFs (was: Unpersist a DF
also unpersist
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Xiao Li resolved SPARK-21333.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
> joinWith documents and analysis
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Xiao Li reassigned SPARK-21333:
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Assignee: Corey Woodfield
> joinWith documents and analysis allow invalid join types
>
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Sean Owen commented on SPARK-21476:
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I'm not sure what you're suggesting, that something should or
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Reynold Xin commented on SPARK-19842:
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Are you guys doing any work here?
> Informational Referential
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Marcelo Vanzin resolved SPARK-21456.
Resolution: Fixed
Assignee: Susan X. Huynh
Fix Version/s: 2.3.0
> Make the
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Xiao Li updated SPARK-21089:
Priority: Blocker (was: Critical)
> Table properties are not shown in DESC EXTENDED/FORMATTED
>
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Xiao Li updated SPARK-21203:
Priority: Blocker (was: Critical)
> Wrong results of insertion of Array of Struct
>
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Xiao Li updated SPARK-21258:
Priority: Blocker (was: Major)
> Window result incorrect using complex object with spilling
>
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Xiao Li resolved SPARK-21446.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
2.1.2
> [SQL]
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Xiao Li reassigned SPARK-21446:
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Assignee: Albert Jang
> [SQL] JDBC Postgres fetchsize parameter ignored again
>
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Apache Spark reassigned SPARK-21477:
Assignee: Apache Spark
> Mark LocalTableScanExec's input data transient
>
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Apache Spark commented on SPARK-21477:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21477:
Assignee: (was: Apache Spark)
> Mark LocalTableScanExec's input data transient
>
Xiao Li created SPARK-21477:
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Summary: Mark LocalTableScanExec's input data transient
Key: SPARK-21477
URL: https://issues.apache.org/jira/browse/SPARK-21477
Project: Spark
Issue Type: Improvement
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Maciej Bryński updated SPARK-19743:
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Affects Version/s: 2.1.1
2.2.0
> Exception when creating more than
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Maciej Bryński edited comment on SPARK-21470 at 7/19/17 9:06 PM:
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OK.
I
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Thomas Graves resolved SPARK-21243.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Limit the number of maps in a single shuffle
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Thomas Graves reassigned SPARK-21243:
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Assignee: Dhruve Ashar
> Limit the number of maps in a single shuffle fetch
>
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Apache Spark reassigned SPARK-21439:
Assignee: (was: Apache Spark)
> Cannot use Spark with Python ABCmeta (exception from
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Maciej Bryński commented on SPARK-21470:
OK.
I think I found the reason.
There were no
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Maciej Bryński closed SPARK-21470.
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Resolution: Invalid
> [SPARK 2.2 Regression] Spark History server doesn't support HDFS HA
>
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Apache Spark reassigned SPARK-21439:
Assignee: Apache Spark
> Cannot use Spark with Python ABCmeta (exception from
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Apache Spark commented on SPARK-21439:
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User 'maver1ck' has created a pull request for this issue:
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Marcelo Vanzin commented on SPARK-21470:
That still looks like some issue in your configuration.
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Maciej Bryński edited comment on SPARK-21470 at 7/19/17 8:05 PM:
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Maciej Bryński commented on SPARK-21470:
[~vanzin]
I tried.
{code}
/etc/hadoop/conf$ grep -A1
Saurabh Agrawal created SPARK-21476:
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Summary: RandomForest classification model not using broadcast in
transform
Key: SPARK-21476
URL: https://issues.apache.org/jira/browse/SPARK-21476
Project:
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https://issues.apache.org/jira/browse/SPARK-17333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16091210#comment-16091210
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Assaf Mendelson edited comment on SPARK-17333 at 7/19/17 7:18 PM:
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Apache Spark commented on SPARK-21475:
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User 'jerryshao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21475:
Assignee: Apache Spark
> Change the usage of FileInputStream/OutputStream to
>
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Apache Spark reassigned SPARK-21475:
Assignee: (was: Apache Spark)
> Change the usage of FileInputStream/OutputStream to
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Apache Spark commented on SPARK-21474:
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User 'raajay' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-21474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21474:
Assignee: Apache Spark
> Make number of parallel fetches from a reducer configurable
>
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Apache Spark reassigned SPARK-21474:
Assignee: (was: Apache Spark)
> Make number of parallel fetches from a reducer
Saisai Shao created SPARK-21475:
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Summary: Change the usage of FileInputStream/OutputStream to
Files.newInput/OutputStream in the critical path
Key: SPARK-21475
URL:
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Shixiong Zhu resolved SPARK-21455.
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Resolution: Won't Fix
> RpcFailure should be call on RpcResponseCallback.onFailure
>
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Tathagata Das resolved SPARK-21464.
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Resolution: Fixed
Fix Version/s: 3.0.0
2.2.1
Issue resolved by
Raajay Viswanathan created SPARK-21474:
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Summary: Make number of parallel fetches from a reducer
configurable
Key: SPARK-21474
URL: https://issues.apache.org/jira/browse/SPARK-21474
Project:
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Kirti commented on SPARK-18226:
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Hi Felix,
After collecting output of predict in R, probability column
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Felix Cheung commented on SPARK-18226:
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if you collect on what's returned by predict(), you should
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Andrey Taptunov edited comment on SPARK-21374 at 7/19/17 5:19 PM:
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Andrey Taptunov commented on SPARK-21374:
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[~ste...@apache.org]
Indeed, while working on PR and
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Marcelo Vanzin commented on SPARK-21470:
The HDFS library generally throws that error if your
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Wenchen Fan updated SPARK-20725:
Target Version/s: (was: 2.1.2)
> partial aggregate should behave correctly for sameResult
>
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Sean Owen resolved SPARK-21473.
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Resolution: Duplicate
Given the error, looks like the change for SPARK-19666 already addressed why
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Sean Owen updated SPARK-21473:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Running Transform on a bean
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Aseem Bansal updated SPARK-21473:
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Description:
If I run the following using the Java API
{code:java}
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Wenchen Fan reassigned SPARK-21441:
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Assignee: Feng Zhu
> Incorrect Codegen in SortMergeJoinExec results failures in some cases
Aseem Bansal created SPARK-21473:
Summary: Running Transform on a bean which has only setters gives
NullPointerExcpetion
Key: SPARK-21473
URL: https://issues.apache.org/jira/browse/SPARK-21473
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Wenchen Fan resolved SPARK-21441.
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Resolution: Fixed
Fix Version/s: 2.1.2
2.3.0
2.2.1
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Maciej Bryński commented on SPARK-5159:
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Still existed in Spark 2.2.0.
Probably duplicate of
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Hyukjin Kwon commented on SPARK-21177:
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Could you provide some steps to reproduce? I want to follow
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Hyukjin Kwon resolved SPARK-10216.
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Resolution: Fixed
This is fixed in https://github.com/apache/spark/pull/18654
> Avoid
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Hyukjin Kwon resolved SPARK-21105.
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Resolution: Duplicate
This is a duplicate of SPARK-10216.
> Useless empty files in hive table
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Wenchen Fan reassigned SPARK-21414:
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Assignee: jin xing
> Buffer in SlidingWindowFunctionFrame could be big though window is
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Wenchen Fan resolved SPARK-21414.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Prashant Sharma commented on SPARK-21177:
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I can reproduce it on another system with latest
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Maciej Bryński commented on SPARK-11248:
I have similar issue in Spark 2.2.0
> Spark
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Maciej Bryński updated SPARK-11248:
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Affects Version/s: 2.2.0
> Spark hivethriftserver is using the wrong user to while getting
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Maciej Bryński updated SPARK-11248:
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Affects Version/s: 2.1.1
> Spark hivethriftserver is using the wrong user to while getting
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qihuagao updated SPARK-21448:
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Description:
java pair rdd has aggregateByKey, which can avoid full shuffle, so have
impressive
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David Allsopp updated SPARK-21459:
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Description:
When working with DataFrames with nested schemas, the behavior of the
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David Allsopp updated SPARK-21459:
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Description:
When working with DataFrames with nested schemas, the behavior of the
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Apache Spark reassigned SPARK-21472:
Assignee: Apache Spark
> Introduce ArrowColumnVector as a reader for Arrow vectors.
>
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Apache Spark reassigned SPARK-21472:
Assignee: (was: Apache Spark)
> Introduce ArrowColumnVector as a reader for Arrow
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Apache Spark commented on SPARK-21472:
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User 'ueshin' has created a pull request for this issue:
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Takuya Ueshin updated SPARK-21472:
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Description:
Introducing {{ArrowColumnVector}} as a reader for Arrow vectors.
It extends
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Hyukjin Kwon commented on SPARK-21439:
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We have a cloudpickle copy in Spark. Would you test that and
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Takuya Ueshin updated SPARK-21472:
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Description:
Introducing {{ArrowColumnVector}} as a reader for Arrow vectors.
It extends
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Takuya Ueshin updated SPARK-21472:
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Description:
Introducing {{ArrowColumnVector}} as a reader for Arrow vectors.
This extends
Takuya Ueshin created SPARK-21472:
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Summary: Introduce ArrowColumnVector as a reader for Arrow vectors.
Key: SPARK-21472
URL: https://issues.apache.org/jira/browse/SPARK-21472
Project: Spark
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Apache Spark commented on SPARK-20783:
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User 'kiszk' has created a pull request for this issue:
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Sean Owen resolved SPARK-21471.
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Resolution: Invalid
This is better on StackOverflow. JIRA is for reporting researched bugs in Spark
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https://issues.apache.org/jira/browse/SPARK-21439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092888#comment-16092888
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Maciej Bryński edited comment on SPARK-21439 at 7/19/17 10:15 AM:
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I
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https://issues.apache.org/jira/browse/SPARK-21439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16092888#comment-16092888
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Maciej Bryński commented on SPARK-21439:
https://github.com/cloudpipe/cloudpickle/pull/104
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https://issues.apache.org/jira/browse/SPARK-21470?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-21470:
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Summary: [SPARK 2.2 Regression] Spark History server doesn't support HDFS
HA (was: Spark
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https://issues.apache.org/jira/browse/SPARK-21471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lê Văn Thanh updated SPARK-21471:
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Description:
My client using GZIPOutputStream to compressed the data and push to my server.
Lê Văn Thanh created SPARK-21471:
Summary: Read binary file error in Spark Streaming
Key: SPARK-21471
URL: https://issues.apache.org/jira/browse/SPARK-21471
Project: Spark
Issue Type: Bug
Maciej Bryński created SPARK-21470:
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Summary: Spark History server doesn't support HDFS HA
Key: SPARK-21470
URL: https://issues.apache.org/jira/browse/SPARK-21470
Project: Spark
Issue Type:
Nick Pentreath created SPARK-21469:
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Summary: Add doc and example for FeatureHasher
Key: SPARK-21469
URL: https://issues.apache.org/jira/browse/SPARK-21469
Project: Spark
Issue Type:
Nick Pentreath created SPARK-21468:
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Summary: FeatureHasher Python API
Key: SPARK-21468
URL: https://issues.apache.org/jira/browse/SPARK-21468
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-21467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21467.
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Resolution: Invalid
You're referring to a Hive feature -- this can't possibly be considered a Spark
Gu Chao created SPARK-21467:
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Summary: Spark SQL does not support the Hive property of
"hive.vectorized.execution.enabled"
Key: SPARK-21467
URL: https://issues.apache.org/jira/browse/SPARK-21467
Project:
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https://issues.apache.org/jira/browse/SPARK-21440?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takuya Ueshin updated SPARK-21440:
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Description:
This is a refactoring of {{ArrowConverters}} and related classes.
# Refactor
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https://issues.apache.org/jira/browse/SPARK-21316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-21316.
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Resolution: Not A Problem
> Dataset Union output is not consistent with the column sequence
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https://issues.apache.org/jira/browse/SPARK-21433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21433.
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Resolution: Invalid
> Spark SQL should support higher version of Hive metastore
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