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Shixiong Zhu reassigned SPARK-23245:
Assignee: Jose Torres
> KafkaContinuousSourceSuite may hang forever
>
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Shixiong Zhu resolved SPARK-23245.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20413
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Apache Spark reassigned SPARK-23247:
Assignee: Apache Spark
> combines Unsafe operations and statistics operations in Scan
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Apache Spark reassigned SPARK-23247:
Assignee: (was: Apache Spark)
> combines Unsafe operations and statistics operations
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Apache Spark commented on SPARK-23247:
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User 'heary-cao' has created a pull request for this issue:
caoxuewen created SPARK-23247:
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Summary: combines Unsafe operations and statistics operations in
Scan Data Source
Key: SPARK-23247
URL: https://issues.apache.org/jira/browse/SPARK-23247
Project: Spark
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MBA Learns to Code updated SPARK-23246:
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Summary: (Py)Spark OOM because of iteratively accumulated metadata that
cannot be
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MBA Learns to Code updated SPARK-23246:
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Description:
I am having consistent OOM crashes when trying to use PySpark for
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MBA Learns to Code updated SPARK-23246:
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Description:
I am having consistent OOM crashes when trying to use PySpark for
MBA Learns to Code created SPARK-23246:
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Summary: (Py)Spark OOM because of metadata build-up that cannot be
cleaned
Key: SPARK-23246
URL: https://issues.apache.org/jira/browse/SPARK-23246
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Wenchen Fan commented on SPARK-16441:
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I believe this issue has been fixed in Spark 2.3 by
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Wenchen Fan commented on SPARK-21460:
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I believe this issue has been fixed in Spark 2.3 by
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Weichen Xu edited comment on SPARK-23110 at 1/27/18 1:19 AM:
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I use the
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Weichen Xu commented on SPARK-23110:
I use the script `1_process_script` to generate some info (see
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Weichen Xu updated SPARK-23110:
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Attachment: 1_process_script.sh
> ML 2.3 QA: API: Java compatibility, docs
>
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Weichen Xu updated SPARK-23110:
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Attachment: added_ml_class
> ML 2.3 QA: API: Java compatibility, docs
>
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Weichen Xu updated SPARK-23110:
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Attachment: different_methods_in_ML.diff
> ML 2.3 QA: API: Java compatibility, docs
>
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Edwina Lu updated SPARK-23206:
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Attachment: (was: ExecutorsTab.png)
> Additional Memory Tuning Metrics
>
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Edwina Lu updated SPARK-23206:
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Attachment: ExecutorsTab.png
> Additional Memory Tuning Metrics
>
>
>
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Xiao Li resolved SPARK-23214.
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Resolution: Fixed
Fix Version/s: 2.3.0
> cached data should not carry extra hint info
>
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Apache Spark commented on SPARK-23243:
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User 'jiangxb1987' has created a pull request for this
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Apache Spark reassigned SPARK-23243:
Assignee: Apache Spark
> Shuffle+Repartition on an RDD could lead to incorrect answers
>
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Apache Spark reassigned SPARK-23243:
Assignee: (was: Apache Spark)
> Shuffle+Repartition on an RDD could lead to incorrect
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https://issues.apache.org/jira/browse/SPARK-23245?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23245:
Assignee: (was: Apache Spark)
> KafkaContinuousSourceSuite may hang forever
>
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Apache Spark commented on SPARK-23245:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23245:
Assignee: Apache Spark
> KafkaContinuousSourceSuite may hang forever
>
Shixiong Zhu created SPARK-23245:
Summary: KafkaContinuousSourceSuite may hang forever
Key: SPARK-23245
URL: https://issues.apache.org/jira/browse/SPARK-23245
Project: Spark
Issue Type: Bug
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Shixiong Zhu resolved SPARK-23242.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20412
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Sameer Agarwal reopened SPARK-22797:
> Add multiple column support to PySpark Bucketizer
>
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Sameer Agarwal updated SPARK-22797:
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Fix Version/s: (was: 2.3.0)
> Add multiple column support to PySpark Bucketizer
>
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Mathieu DESPRIEE commented on SPARK-23220:
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Here is a gist
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Mathieu DESPRIEE updated SPARK-23220:
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Comment: was deleted
(was: [~viirya] working on it. It's actually harder than I thought.
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Tomas Nykodym updated SPARK-23244:
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Description:
Default values are not handled properly when serializing/deserializing python
Tomas Nykodym created SPARK-23244:
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Summary: Incorrect handling of default values when deserializing
python wrappers of scala transformers
Key: SPARK-23244
URL: https://issues.apache.org/jira/browse/SPARK-23244
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Sameer Agarwal resolved SPARK-23207.
Resolution: Fixed
Fix Version/s: 2.4.0
2.3.0
Issue resolved by
Jiang Xingbo created SPARK-23243:
Summary: Shuffle+Repartition on an RDD could lead to incorrect
answers
Key: SPARK-23243
URL: https://issues.apache.org/jira/browse/SPARK-23243
Project: Spark
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Jiang Xingbo updated SPARK-23207:
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Summary: Shuffle+Repartition on an DataFrame could lead to incorrect
answers (was:
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Alex Bozarth commented on SPARK-23237:
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Unlike the related task, I'm not sure about this one. I see
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Alex Bozarth commented on SPARK-23235:
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I think I would be ok with adding threadDump to the api, but
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Alex Bozarth commented on SPARK-23236:
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So IIUC, you want
1. /api and /api/v1 to give the same
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Apache Spark reassigned SPARK-23242:
Assignee: Shixiong Zhu (was: Apache Spark)
> Don't run tests in KafkaSourceSuiteBase
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Apache Spark commented on SPARK-23242:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23242:
Assignee: Apache Spark (was: Shixiong Zhu)
> Don't run tests in KafkaSourceSuiteBase
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Shixiong Zhu updated SPARK-23242:
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Description: KafkaSourceSuiteBase should be abstract class, otherwise
KafkaSourceSuiteBase will
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Shixiong Zhu updated SPARK-23242:
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Component/s: Tests
> Don't run tests in KafkaSourceSuiteBase twice
>
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Shixiong Zhu updated SPARK-23242:
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Environment: (was: KafkaSourceSuiteBase should be abstract class,
otherwise
Shixiong Zhu created SPARK-23242:
Summary: Don't run tests in KafkaSourceSuiteBase twice
Key: SPARK-23242
URL: https://issues.apache.org/jira/browse/SPARK-23242
Project: Spark
Issue Type:
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Luke R Hospadaruk resolved SPARK-23241.
---
Resolution: Not A Problem
Bad date format strings - see
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Bruce Robbins commented on SPARK-23240:
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I will be making a pull request.
> PythonWorkerFactory
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Luke R Hospadaruk commented on SPARK-23241:
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Not sure if I prioritized this correctly?
>
Luke R Hospadaruk created SPARK-23241:
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Summary: from_unixtime SQL function returning incorrect dates
Key: SPARK-23241
URL: https://issues.apache.org/jira/browse/SPARK-23241
Project: Spark
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Edwina Lu commented on SPARK-23206:
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We'd like to monitor the following executor level metrics:
* JVM
Bruce Robbins created SPARK-23240:
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Summary: PythonWorkerFactory issues unhelpful message when
pyspark.daemon produces bogus stdout
Key: SPARK-23240
URL: https://issues.apache.org/jira/browse/SPARK-23240
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Edwina Lu updated SPARK-23206:
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Attachment: ExecutorsTab.png
> Additional Memory Tuning Metrics
>
>
>
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Edwina Lu updated SPARK-23206:
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Attachment: (was: ExecutorsTab.png)
> Additional Memory Tuning Metrics
>
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Edwina Lu updated SPARK-23206:
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Attachment: ExecutorsTab.png
> Additional Memory Tuning Metrics
>
>
>
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Edwina Lu updated SPARK-23206:
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Attachment: StageTab.png
> Additional Memory Tuning Metrics
>
>
>
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Apache Spark commented on SPARK-17139:
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User 'WeichenXu123' has created a pull request for this
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Weichen Xu commented on SPARK-17139:
[~mlnick] Yes it breaks binary compatibility. But we found no
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Dongjoon Hyun updated SPARK-23239:
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Description:
Currently, `KafkaRelationSuite` doesn't clean up its continuous microbatch
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Dongjoon Hyun updated SPARK-23239:
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Description:
Currently, `KafkaRelationSuite` doesn't clean up its continuous queries. As a
Dongjoon Hyun created SPARK-23239:
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Summary: KafkaRelationSuite should clean up its continuous queries
Key: SPARK-23239
URL: https://issues.apache.org/jira/browse/SPARK-23239
Project: Spark
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Hyukjin Kwon edited comment on SPARK-23213 at 1/26/18 5:25 PM:
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Google what
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Hyukjin Kwon commented on SPARK-23213:
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Google what triple columns in R mean ... Questions should go
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Apache Spark commented on SPARK-23238:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-23238:
Assignee: Apache Spark
> Externalize SQLConf spark.sql.execution.arrow.enabled
>
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Apache Spark reassigned SPARK-23238:
Assignee: (was: Apache Spark)
> Externalize SQLConf spark.sql.execution.arrow.enabled
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Xiao Li resolved SPARK-23218.
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Resolution: Fixed
Fix Version/s: 2.3.0
> simplify ColumnVector.getArray
>
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Tony commented on SPARK-23213:
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Hi, [~felixcheung] Another question here, what's the mechanism to make a
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Xiao Li updated SPARK-23238:
Issue Type: Improvement (was: Bug)
> Externalize SQLConf spark.sql.execution.arrow.enabled
>
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Xiao Li updated SPARK-23238:
Target Version/s: 2.3.0
> Externalize SQLConf spark.sql.execution.arrow.enabled
>
Xiao Li created SPARK-23238:
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Summary: Externalize SQLConf spark.sql.execution.arrow.enabled
Key: SPARK-23238
URL: https://issues.apache.org/jira/browse/SPARK-23238
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-23189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Attila Zsolt Piros updated SPARK-23189:
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Attachment: (was: multiple_stages_2.png)
> reflect stage level blacklisting on
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Attila Zsolt Piros updated SPARK-23189:
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Attachment: multiple_stages_3.png
> reflect stage level blacklisting on executor tab
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Attila Zsolt Piros updated SPARK-23189:
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Attachment: (was: multiple_stages_3.png)
> reflect stage level blacklisting on
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Attila Zsolt Piros updated SPARK-23189:
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Attachment: multiple_stages_2.png
> reflect stage level blacklisting on executor tab
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Felix Cheung commented on SPARK-23107:
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Thanks
My bad RFormula does have a page
Imran Rashid created SPARK-23237:
Summary: Add UI / endpoint for threaddumps for executors with
active tasks
Key: SPARK-23237
URL: https://issues.apache.org/jira/browse/SPARK-23237
Project: Spark
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Seth Hendrickson commented on SPARK-17139:
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Good catch, apart from redesigning this patch, I'm
Imran Rashid created SPARK-23236:
Summary: Make it easier to find the rest API, especially in local
mode
Key: SPARK-23236
URL: https://issues.apache.org/jira/browse/SPARK-23236
Project: Spark
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Imran Rashid updated SPARK-23236:
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Labels: newbie (was: )
> Make it easier to find the rest API, especially in local mode
>
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Apache Spark reassigned SPARK-23234:
Assignee: Apache Spark
> ML python test failure due to default outputCol
>
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Apache Spark commented on SPARK-23234:
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User 'mgaido91' has created a pull request for this issue:
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Apache Spark reassigned SPARK-23234:
Assignee: (was: Apache Spark)
> ML python test failure due to default outputCol
>
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Marco Gaido updated SPARK-23234:
Description:
SPARK-22799 and SPARK-22797 are causing valid Python test failures. The reason
is
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Marco Gaido updated SPARK-23234:
Summary: ML python test failure due to default outputCol (was: ML python
test failure)
> ML
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Marco Gaido updated SPARK-23234:
Description:
SPARK-22799 and SPARK-22797 are causing valid Python test failures. The reason
is
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Imran Rashid updated SPARK-23235:
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Priority: Minor (was: Major)
> Add executor Threaddump to api
> --
Imran Rashid created SPARK-23235:
Summary: Add executor Threaddump to api
Key: SPARK-23235
URL: https://issues.apache.org/jira/browse/SPARK-23235
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-23235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Imran Rashid updated SPARK-23235:
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Labels: newbie (was: )
> Add executor Threaddump to api
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Marco Gaido created SPARK-23234:
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Summary: ML python test failure
Key: SPARK-23234
URL: https://issues.apache.org/jira/browse/SPARK-23234
Project: Spark
Issue Type: Bug
Components:
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https://issues.apache.org/jira/browse/SPARK-23233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23233:
Assignee: (was: Apache Spark)
> asNondeterministic in Python UDF not being set when
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https://issues.apache.org/jira/browse/SPARK-23233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23233:
Assignee: Apache Spark
> asNondeterministic in Python UDF not being set when the UDF is
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https://issues.apache.org/jira/browse/SPARK-23233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16341143#comment-16341143
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Apache Spark commented on SPARK-23233:
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User 'HyukjinKwon' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-23220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16341142#comment-16341142
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Mathieu DESPRIEE commented on SPARK-23220:
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[~viirya] working on it. It's actually harder than I
Hyukjin Kwon created SPARK-23233:
Summary: asNondeterministic in Python UDF not being set when the
UDF is called at least once
Key: SPARK-23233
URL: https://issues.apache.org/jira/browse/SPARK-23233
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https://issues.apache.org/jira/browse/SPARK-23189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23189:
Assignee: (was: Apache Spark)
> reflect stage level blacklisting on executor tab
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https://issues.apache.org/jira/browse/SPARK-23189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23189:
Assignee: Apache Spark
> reflect stage level blacklisting on executor tab
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https://issues.apache.org/jira/browse/SPARK-23189?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16341139#comment-16341139
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Apache Spark commented on SPARK-23189:
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User 'attilapiros' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-23232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hristo Angelov updated SPARK-23232:
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Description:
I have the following streaming query:
{code:java}
baseDataSet
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