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Euijun updated SPARK-26522:
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Description:
Hi expert,
I try to use livy to connect sparkR backend.
This is related to
CHIRAG YADAV created SPARK-26523:
Summary: Getting this error while reading from kinesis :- Could
not read until the end sequence number of the range: SequenceNumberRange
Key: SPARK-26523
URL:
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Euijun updated SPARK-26522:
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Shepherd: Apache Spark
Labels: newbie (was: )
> Auth secret error in RBackendAuthHandler
>
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Euijun updated SPARK-26522:
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Affects Version/s: (was: 3.0.0)
2.3.1
Priority: Minor (was: Major)
Euijun created SPARK-26522:
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Summary: CLONE - Add configurable auth secret source in k8s backend
Key: SPARK-26522
URL: https://issues.apache.org/jira/browse/SPARK-26522
Project: Spark
Issue Type:
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suman gorantla commented on SPARK-26519:
Dear Hyun,
Below command was successfully working in
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zengxl commented on SPARK-26437:
Thanks [~dongjoon]
> Decimal data becomes bigint to query, unable to
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zengxl commented on SPARK-26521:
ok,thank you [~dongjoon]
> Sparksql cannot modify the field name of a
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Dongjoon Hyun updated SPARK-26512:
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Flags: (was: Important)
> Spark 2.4.0 is not working with Hadoop 2.8.3 in windows 10?
>
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Dongjoon Hyun resolved SPARK-26521.
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Resolution: Duplicate
Hi, [~zengxl]. Thank you for reporting, but this duplicates
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Dongjoon Hyun closed SPARK-26521.
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> Sparksql cannot modify the field name of a table
>
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Dongjoon Hyun commented on SPARK-22951:
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Hi, [~feng...@databricks.com] and [~lian cheng].
Since
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Dongjoon Hyun updated SPARK-22951:
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Target Version/s: 2.3.0, 2.2.3 (was: 2.3.0)
> count() after dropDuplicates() on
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Hyukjin Kwon resolved SPARK-26019.
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Resolution: Fixed
Issue resolved by pull request 23337
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Hyukjin Kwon reassigned SPARK-26019:
Assignee: Imran Rashid
> pyspark/accumulators.py: "TypeError: object of type 'NoneType'
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Hyukjin Kwon updated SPARK-26019:
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Fix Version/s: 2.4.1
2.3.3
> pyspark/accumulators.py: "TypeError: object of
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Hyukjin Kwon resolved SPARK-26403.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23349
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Hyukjin Kwon reassigned SPARK-26403:
Assignee: Hyukjin Kwon
> DataFrame pivot using array column fails with "Unsupported
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Hyukjin Kwon updated SPARK-25591:
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Fix Version/s: 2.3.3
2.2.3
> PySpark Accumulators with multiple PythonUDFs
>
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Dongjoon Hyun updated SPARK-25591:
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Target Version/s: 2.4.0, 2.2.3, 2.3.3 (was: 2.4.0)
> PySpark Accumulators with multiple
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Saisai Shao updated SPARK-26457:
Priority: Minor (was: Major)
> Show hadoop configurations in HistoryServer environment tab
>
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Saisai Shao resolved SPARK-26516.
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Resolution: Invalid
> zeppelin with spark on mesos: environment variable setting
>
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Saisai Shao updated SPARK-26513:
Fix Version/s: (was: 3.0.0)
> Trigger GC on executor node idle
>
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Saisai Shao commented on SPARK-26516:
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Questions should go to user@spark mail list. Also if this is
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Hyukjin Kwon commented on SPARK-25591:
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+1
> PySpark Accumulators with multiple PythonUDFs
>
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Dongjoon Hyun commented on SPARK-25591:
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Thank you for confirming, [~viirya]. Yes. Please make two
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Liang-Chi Hsieh commented on SPARK-25591:
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I can make backport PRs if you need. [~dongjoon]
>
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Liang-Chi Hsieh commented on SPARK-25591:
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This is bug fixing, so I think it makes sense to
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zengxl updated SPARK-26521:
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Environment: (was: alter table tmp.testchange change column i m string;
*Error in query: ALTER TABLE
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zengxl updated SPARK-26521:
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Description:
When i alter table info use sparksql,throw excepiton
alter table tmp.testchange change
zengxl created SPARK-26521:
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Summary: Sparksql cannot modify the field name of a table
Key: SPARK-26521
URL: https://issues.apache.org/jira/browse/SPARK-26521
Project: Spark
Issue Type: Bug
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Dongjoon Hyun commented on SPARK-25591:
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Hi, [~viirya], [~hyukjin.kwon].
This is only in
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Marcelo Vanzin reassigned SPARK-23980:
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Assignee: (was: Marcelo Vanzin)
> Resilient Spark driver on Kubernetes
>
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Marcelo Vanzin reassigned SPARK-23980:
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Assignee: Marcelo Vanzin
> Resilient Spark driver on Kubernetes
>
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Marcelo Vanzin resolved SPARK-26441.
Resolution: Duplicate
> Add kind configuration of driver pod
>
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Dongjoon Hyun updated SPARK-26519:
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Flags: (was: Important)
> spark sql CHANGE COLUMN not working
>
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Dongjoon Hyun updated SPARK-26519:
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Component/s: (was: Spark Submit)
(was: Spark Shell)
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Dongjoon Hyun commented on SPARK-26519:
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Hi, [~sumanGorantla]. It's not a bug, isn't it? Please
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Dongjoon Hyun updated SPARK-23525:
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Summary: ALTER TABLE CHANGE COLUMN COMMENT doesn't work for external hive
table (was: ALTER
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Sean Owen reassigned SPARK-26277:
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Assignee: Chenxiao Mao
> WholeStageCodegen metrics should be tested with whole-stage codegen
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Sean Owen resolved SPARK-26277.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23224
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Mark Hamstra commented on SPARK-26502:
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Don't lose track of this comment:
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Apache Spark reassigned SPARK-26520:
Assignee: Apache Spark (was: Wenchen Fan)
> data source V2 API refactoring (micro-batch
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Apache Spark reassigned SPARK-26520:
Assignee: Wenchen Fan (was: Apache Spark)
> data source V2 API refactoring (micro-batch
Wenchen Fan created SPARK-26520:
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Summary: data source V2 API refactoring (micro-batch read)
Key: SPARK-26520
URL: https://issues.apache.org/jira/browse/SPARK-26520
Project: Spark
Issue Type:
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suman gorantla updated SPARK-26519:
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Description:
Dear Team,
with spark sql I am unable to change the newly added column()
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suman gorantla updated SPARK-26519:
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Attachment: sparksql error.PNG
> spark sql CHANGE COLUMN not working
>
suman gorantla created SPARK-26519:
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Summary: spark sql CHANGE COLUMN not working
Key: SPARK-26519
URL: https://issues.apache.org/jira/browse/SPARK-26519
Project: Spark
Issue Type: Bug
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Steve Loughran commented on SPARK-2984:
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Gaurav, if this has returned in a 2.x version against
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Dongjoon Hyun commented on SPARK-24603:
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I removed 2.2.2 and added 2.2.3 since this wasn't
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Dongjoon Hyun updated SPARK-24603:
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Fix Version/s: 2.2.3
> Typo in comments
>
>
> Key:
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Dongjoon Hyun updated SPARK-24603:
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Fix Version/s: (was: 2.2.2)
> Typo in comments
>
>
>
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Dongjoon Hyun commented on SPARK-25253:
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I added `2.2.3` at the fix versions because `branch-2.2`
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Dongjoon Hyun updated SPARK-25253:
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Fix Version/s: 2.2.3
> Refactor pyspark connection & authentication
>
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Sujith commented on SPARK-26432:
Test description is been updated. let me know for any suggestions or
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Sujith updated SPARK-26432:
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Description:
Getting NoSuchMethodException :
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Apache Spark reassigned SPARK-26432:
Assignee: Apache Spark
> Not able to connect Hbase 2.1 service Getting
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Sujith edited comment on SPARK-26432 at 1/2/19 6:27 PM:
sorry for the late
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Sujith commented on SPARK-26432:
sorry for the late response due to holidays :), raised a PR please let
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Apache Spark reassigned SPARK-26432:
Assignee: (was: Apache Spark)
> Not able to connect Hbase 2.1 service Getting
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Sean Owen resolved SPARK-26507.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 23419
Russell Spitzer created SPARK-26518:
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Summary: UI Application Info Race Condition Can Throw NoSuchElement
Key: SPARK-26518
URL: https://issues.apache.org/jira/browse/SPARK-26518
Project: Spark
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Apache Spark reassigned SPARK-26489:
Assignee: (was: Apache Spark)
> Use ConfigEntry for hardcoded configs for python/r
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Apache Spark reassigned SPARK-26489:
Assignee: Apache Spark
> Use ConfigEntry for hardcoded configs for python/r categories.
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Udbhav Agrawal commented on SPARK-26454:
okay i will work on that and raise the PR.
> While
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Amy Koh commented on SPARK-26511:
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Thanks [~viirya]. I do indeed have a slightly modified format of the
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Sujith commented on SPARK-26454:
I think [~hyukjin.kwon] idea is better and simple, we can reduce level
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Udbhav Agrawal edited comment on SPARK-26454 at 1/2/19 12:15 PM:
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CC
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Hyukjin Kwon commented on SPARK-26454:
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Thing is, we shouldn't introduce behaviour change when we
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Hyukjin Kwon edited comment on SPARK-26454 at 1/2/19 11:54 AM:
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Thing is,
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Udbhav Agrawal edited comment on SPARK-26454 at 1/2/19 11:26 AM:
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Udbhav Agrawal commented on SPARK-26454:
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Udbhav Agrawal commented on SPARK-26454:
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Udbhav Agrawal updated SPARK-26454:
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Comment: was deleted
(was:
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Takuya Ueshin commented on SPARK-26462:
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[~pralabhkumar] Sure. Please feel free to create the pull
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Udbhav Agrawal updated SPARK-26454:
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Summary: While creating new UDF with JAR though UDF is created
successfully, it throws
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Udbhav Agrawal updated SPARK-26454:
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Description:
【Test step】：
1.launch spark-shell
2. set role admin;
3. create new function
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Apache Spark reassigned SPARK-26517:
Assignee: (was: Apache Spark)
> Avoid duplicate test in ParquetSchemaPruningSuite
>
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Apache Spark reassigned SPARK-26517:
Assignee: Apache Spark
> Avoid duplicate test in ParquetSchemaPruningSuite
>
Liang-Chi Hsieh created SPARK-26517:
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Summary: Avoid duplicate test in ParquetSchemaPruningSuite
Key: SPARK-26517
URL: https://issues.apache.org/jira/browse/SPARK-26517
Project: Spark
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Joost Verdoorn commented on SPARK-18805:
This issue occurs relatively often within our
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Hyukjin Kwon commented on SPARK-26454:
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Can you fix the Jira title and description? it sounds like
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Hyukjin Kwon updated SPARK-26454:
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Priority: Trivial (was: Major)
> IllegegalArgument Exception is Thrown while creating new UDF
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Udbhav Agrawal commented on SPARK-26454:
[~hyukjin.kwon] Yes code is working fine but showing
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pralabhkumar commented on SPARK-26462:
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[~ueshin] I can work on this . Please let me know if its
Yui Hirasawa created SPARK-26516:
Summary: zeppelin with spark on mesos: environment variable setting
Key: SPARK-26516
URL: https://issues.apache.org/jira/browse/SPARK-26516
Project: Spark
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Hyukjin Kwon commented on SPARK-26454:
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Which Spark version do you use? Looks line number is
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https://issues.apache.org/jira/browse/SPARK-26516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yui Hirasawa updated SPARK-26516:
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Issue Type: Question (was: IT Help)
> zeppelin with spark on mesos: environment variable
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