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Yu Wang updated SPARK-24376:
Description: compiling spark with scala-2.10 should use the -P parameter
instead of -D (was: compiling
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Yu Wang updated SPARK-24376:
Summary: compiling spark with scala-2.10 should use the -P parameter
instead of -D (was: compiling spark
Yu Wang created SPARK-24376:
---
Summary: compiling spark with scala-2.10 should use the -p
parameter instead of -d
Key: SPARK-24376
URL: https://issues.apache.org/jira/browse/SPARK-24376
Project: Spark
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Yuming Wang commented on SPARK-24362:
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*{{SortMergeJoin}}* vs *{{BroadcastHashJoin}}*:
{code}
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Hyukjin Kwon resolved SPARK-24364.
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Resolution: Fixed
Fix Version/s: 2.3.1
2.4.0
Issue resolved by pull
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Hyukjin Kwon reassigned SPARK-24364:
Assignee: Hyukjin Kwon
> Files deletion after globbing may fail StructuredStreaming jobs
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Xiangrui Meng commented on SPARK-24375:
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[~jiangxb1987] Could you summarize the design sketch based
Xiangrui Meng created SPARK-24375:
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Summary: Design sketch: support barrier scheduling in Apache Spark
Key: SPARK-24375
URL: https://issues.apache.org/jira/browse/SPARK-24375
Project: Spark
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Xiangrui Meng updated SPARK-24374:
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Shepherd: Reynold Xin
> SPIP: Support Barrier Scheduling in Apache Spark
>
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Xiangrui Meng updated SPARK-24374:
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Issue Type: Epic (was: Story)
> SPIP: Support Barrier Scheduling in Apache Spark
>
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Xiangrui Meng updated SPARK-24374:
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Description:
(See details in the linked/attached SPIP doc.)
{quote}
The proposal here is to
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Xiangrui Meng updated SPARK-24374:
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Attachment: SPIP_ Support Barrier Scheduling in Apache Spark.pdf
> SPIP: Support Barrier
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Xiangrui Meng updated SPARK-24374:
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Description:
(See details in the linked/attached SPIP doc.)
The proposal here is to add a new
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Xiangrui Meng updated SPARK-24374:
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Labels: SPIP (was: )
> SPIP: Support Barrier Scheduling in Apache Spark
>
Xiangrui Meng created SPARK-24374:
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Summary: SPIP: Support Barrier Scheduling in Apache Spark
Key: SPARK-24374
URL: https://issues.apache.org/jira/browse/SPARK-24374
Project: Spark
Issue
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Takeshi Yamamuro commented on SPARK-24369:
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ok, I will look into this. Thanks!
> A bug when
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Xiao Li commented on SPARK-24369:
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cc [~maropu] Are you interested in this?
> A bug when having multiple
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Wenchen Fan reassigned SPARK-24322:
---
Assignee: Dongjoon Hyun
> Upgrade Apache ORC to 1.4.4
> ---
>
>
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Wenchen Fan resolved SPARK-24322.
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Resolution: Fixed
Fix Version/s: 2.3.1
2.4.0
Issue resolved by pull
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Wenchen Fan resolved SPARK-24257.
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Resolution: Fixed
Fix Version/s: 2.3.1
2.1.3
2.4.0
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Wenchen Fan reassigned SPARK-24257:
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Assignee: dzcxzl
> LongToUnsafeRowMap calculate the new size may be wrong
>
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Dongjoon Hyun commented on SPARK-23416:
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Thank you, [~joseph.torres] and [~tdas] .
Actually,
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Hyukjin Kwon commented on SPARK-24370:
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Sounds more like a question though. Do you have any
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Hyukjin Kwon commented on SPARK-24370:
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(let's avoid setting critical usually reserved for a
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Hyukjin Kwon updated SPARK-24370:
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Priority: Major (was: Critical)
> spark checkpoint creates many 0 byte empty files(partitions)
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Hyukjin Kwon resolved SPARK-24363.
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Resolution: Invalid
Sounds more like a question. Please ask it to dev mailing list. I believe
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Hyukjin Kwon commented on SPARK-24358:
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Yea, that's exactly what I thought. There are some
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Tathagata Das resolved SPARK-23416.
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Resolution: Fixed
Fix Version/s: (was: 2.3.0)
3.0.0
Issue
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Tathagata Das reassigned SPARK-23416:
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Assignee: Jose Torres
> Flaky test: KafkaSourceStressForDontFailOnDataLossSuite.stress
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Dongjoon Hyun updated SPARK-24322:
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Description:
ORC 1.4.4 includes [nine
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Li Jin updated SPARK-24373:
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Summary: "df.cache() df.count()" no longer eagerly caches data (was: Spark
Dataset groupby.agg/count
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Li Jin edited comment on SPARK-24373 at 5/23/18 11:18 PM:
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We found after
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Li Jin updated SPARK-24373:
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Component/s: (was: Input/Output)
SQL
> Spark Dataset groupby.agg/count doesn't respect
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Li Jin commented on SPARK-24373:
I think this might be a regression from 2.2
Any one uses "df.cache()
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Joel Croteau commented on SPARK-24358:
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This may be trickier than I first thought. In Python 2,
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Wenbo Zhao updated SPARK-24373:
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Description:
Here is the code to reproduce in local mode
{code:java}
scala> val df = sc.range(1,
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Wenbo Zhao updated SPARK-24373:
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Description:
Here is the code to reproduce in local mode
{code:java}
scala> val df = sc.range(1,
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Dongjoon Hyun updated SPARK-24322:
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Description:
ORC 1.4.4 includes [nine
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Wenbo Zhao updated SPARK-24373:
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Summary: Spark Dataset groupby.agg/count doesn't respect cache with UDF
(was: Spark Dataset
Wenbo Zhao created SPARK-24373:
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Summary: Spark Dataset groupby.agg/count doesn't respect cache
Key: SPARK-24373
URL: https://issues.apache.org/jira/browse/SPARK-24373
Project: Spark
Issue
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Marcelo Vanzin commented on SPARK-22054:
I filed SPARK-24372 to create an easier way to prepare
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Marcelo Vanzin updated SPARK-22054:
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Priority: Major (was: Blocker)
> Allow release managers to inject their keys
>
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Marcelo Vanzin updated SPARK-22055:
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Priority: Major (was: Blocker)
> Port release scripts
>
>
>
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Marcelo Vanzin commented on SPARK-22055:
I filed SPARK-24372 for the stuff I'm working on. I'm
Marcelo Vanzin created SPARK-24372:
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Summary: Create script for preparing RCs
Key: SPARK-24372
URL: https://issues.apache.org/jira/browse/SPARK-24372
Project: Spark
Issue Type: New Feature
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Apache Spark reassigned SPARK-24371:
Assignee: Apache Spark (was: DB Tsai)
> Added isinSet in DataFrame API for Scala and
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Apache Spark reassigned SPARK-24371:
Assignee: DB Tsai (was: Apache Spark)
> Added isinSet in DataFrame API for Scala and
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Apache Spark commented on SPARK-24371:
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User 'dbtsai' has created a pull request for this issue:
DB Tsai created SPARK-24371:
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Summary: Added isinSet in DataFrame API for Scala and Java.
Key: SPARK-24371
URL: https://issues.apache.org/jira/browse/SPARK-24371
Project: Spark
Issue Type: New
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Xiao Li updated SPARK-24322:
Labels: correctness (was: )
> Upgrade Apache ORC to 1.4.4
> ---
>
>
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Xiao Li resolved SPARK-24294.
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Resolution: Fixed
Assignee: jin xing
Fix Version/s: 2.4.0
> Throw SparkException when
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Xiao Li resolved SPARK-24206.
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Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 2.4.0
> Improve DataSource
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Maxim Gekk reopened SPARK-24244:
Previous PR was reverted due flaky UnivocityParserSuite
> Parse only required columns of CSV file
>
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Apache Spark commented on SPARK-24368:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark commented on SPARK-24244:
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User 'MaxGekk' has created a pull request for this issue:
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Imran Rashid commented on SPARK-23206:
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[~felixcheung] can you give an example of the network & IO
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Jami Malikzade updated SPARK-24370:
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Attachment: partitions.PNG
> spark checkpoint creates many 0 byte empty files(partitions)
Jami Malikzade created SPARK-24370:
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Summary: spark checkpoint creates many 0 byte empty
files(partitions) in checkpoint directory
Key: SPARK-24370
URL: https://issues.apache.org/jira/browse/SPARK-24370
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Xiao Li updated SPARK-24369:
Summary: A bug when having multiple distinct aggregations (was: A bug of
multiple distinct aggregations)
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Xiao Li updated SPARK-24369:
Summary: A bug of multiple distinct aggregations (was: A bug for multiple
distinct aggregations)
> A bug
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Xiao Li updated SPARK-24369:
Description:
{code}
SELECT corr(DISTINCT x, y), corr(DISTINCT y, x), count(*) FROM
(VALUES
(1, 1),
Xiao Li created SPARK-24369:
---
Summary: A bug for multiple distinct aggregations
Key: SPARK-24369
URL: https://issues.apache.org/jira/browse/SPARK-24369
Project: Spark
Issue Type: Bug
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Hossein Falaki commented on SPARK-24359:
Thanks [~shivaram] and [~zero323]. It seems CRAN release
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Apache Spark reassigned SPARK-24368:
Assignee: (was: Apache Spark)
> Flaky tests:
>
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Apache Spark commented on SPARK-24368:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-24368:
Assignee: Apache Spark
> Flaky tests:
>
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Shivaram Venkataraman commented on SPARK-24359:
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I'd just like to echo the point on release
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Apache Spark reassigned SPARK-23161:
Assignee: Apache Spark
> Add missing APIs to Python GBTClassifier
>
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Apache Spark commented on SPARK-23161:
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User 'huaxingao' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23161:
Assignee: (was: Apache Spark)
> Add missing APIs to Python GBTClassifier
>
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Marcelo Vanzin commented on SPARK-21945:
{noformat}
$ cat test.py
from pyspark import
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Marcelo Vanzin edited comment on SPARK-21945 at 5/23/18 5:27 PM:
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Marcelo Vanzin commented on SPARK-22055:
No, my script just prepares the release (asks questions
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Xiao Li commented on SPARK-24368:
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cc [~maxgekk]
> Flaky tests:
>
Xiao Li created SPARK-24368:
---
Summary: Flaky tests:
org.apache.spark.sql.execution.datasources.csv.UnivocityParserSuite
Key: SPARK-24368
URL: https://issues.apache.org/jira/browse/SPARK-24368
Project:
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Apache Spark commented on SPARK-18805:
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User 'chermenin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18805:
Assignee: Apache Spark
> InternalMapWithStateDStream make java.lang.StackOverflowError
>
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Apache Spark reassigned SPARK-18805:
Assignee: (was: Apache Spark)
> InternalMapWithStateDStream make
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Wenchen Fan resolved SPARK-23711.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21106
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Wenchen Fan reassigned SPARK-23711:
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Assignee: Liang-Chi Hsieh
> Add fallback to interpreted execution logic
>
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Wenchen Fan updated SPARK-24313:
Fix Version/s: 2.3.1
> Collection functions interpreted execution doesn't work with complex types
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Apache Spark commented on SPARK-24367:
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User 'gengliangwang' has created a pull request for this
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Apache Spark reassigned SPARK-24367:
Assignee: Apache Spark
> Parquet: use JOB_SUMMARY_LEVEL instead of deprecated flag
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Apache Spark reassigned SPARK-24367:
Assignee: (was: Apache Spark)
> Parquet: use JOB_SUMMARY_LEVEL instead of deprecated
Gengliang Wang created SPARK-24367:
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Summary: Parquet: use JOB_SUMMARY_LEVEL instead of deprecated flag
ENABLE_JOB_SUMMARY
Key: SPARK-24367
URL: https://issues.apache.org/jira/browse/SPARK-24367
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Maciej Szymkiewicz commented on SPARK-24359:
Just my two cents:
* As proposed right now,
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Maxim Gekk updated SPARK-24366:
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Summary: Improve error message for Catalyst type converters (was: Improve
error message for type
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https://issues.apache.org/jira/browse/SPARK-24366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-24366:
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Summary: Improve error message for type converting (was: Improve error
message for type
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https://issues.apache.org/jira/browse/SPARK-24366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16487171#comment-16487171
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Apache Spark commented on SPARK-24366:
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User 'MaxGekk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24366:
Assignee: (was: Apache Spark)
> Improve error message for type conversions
>
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https://issues.apache.org/jira/browse/SPARK-24366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24366:
Assignee: Apache Spark
> Improve error message for type conversions
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Maxim Gekk created SPARK-24366:
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Summary: Improve error message for type conversions
Key: SPARK-24366
URL: https://issues.apache.org/jira/browse/SPARK-24366
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-24341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16487120#comment-16487120
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Apache Spark commented on SPARK-24341:
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User 'mgaido91' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-24341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24341:
Assignee: (was: Apache Spark)
> Codegen compile error from predicate subquery
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https://issues.apache.org/jira/browse/SPARK-24341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24341:
Assignee: Apache Spark
> Codegen compile error from predicate subquery
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https://issues.apache.org/jira/browse/SPARK-24324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16487110#comment-16487110
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Cristian Consonni edited comment on SPARK-24324 at 5/23/18 11:36 AM:
-
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https://issues.apache.org/jira/browse/SPARK-24324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16487110#comment-16487110
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Cristian Consonni commented on SPARK-24324:
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[~hyukjin.kwon] said:
> Ah, I meant shorter
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https://issues.apache.org/jira/browse/SPARK-24365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16487050#comment-16487050
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Apache Spark commented on SPARK-24365:
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User 'gengliangwang' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-24365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24365:
Assignee: (was: Apache Spark)
> Add Parquet write benchmark
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https://issues.apache.org/jira/browse/SPARK-24365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24365:
Assignee: Apache Spark
> Add Parquet write benchmark
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