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https://issues.apache.org/jira/browse/SPARK-25232?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592802#comment-16592802
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Liang-Chi Hsieh commented on SPARK-25232:
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This looks to me more like a specific datasource that
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https://issues.apache.org/jira/browse/SPARK-23836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592751#comment-16592751
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Andrew Malone Melo commented on SPARK-23836:
[~bryanc] - I think it could be either that or
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https://issues.apache.org/jira/browse/SPARK-25199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk resolved SPARK-25199.
Resolution: Cannot Reproduce
> InferSchema "all Strings" if one of many CSVs is empty
>
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Maxim Gekk commented on SPARK-25199:
I wasn't able to reproduce the issue on the current master:
Florence Hope created SPARK-25242:
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Summary: Suggestion to make sql config setting fluent
Key: SPARK-25242
URL: https://issues.apache.org/jira/browse/SPARK-25242
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-25241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25241:
Assignee: (was: Apache Spark)
> Configurable empty values when reading/writing CSV
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Apache Spark commented on SPARK-25241:
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User 'mmolimar' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-25241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25241:
Assignee: Apache Spark
> Configurable empty values when reading/writing CSV files
>
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Mario Molina updated SPARK-25241:
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Component/s: (was: Input/Output)
SQL
> Configurable empty values when
Mario Molina created SPARK-25241:
Summary: Configurable empty values when reading/writing CSV files
Key: SPARK-25241
URL: https://issues.apache.org/jira/browse/SPARK-25241
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-25165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592633#comment-16592633
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Hyukjin Kwon commented on SPARK-25165:
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Mind if I ask how you created a Hive table?
> Cannot parse
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Hyukjin Kwon commented on SPARK-25232:
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cc [~viirya] FYI. As far as I remember you know this bit as
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Hyukjin Kwon commented on SPARK-25232:
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Yea, this is different with RLIKE. It requires inverted
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Hyukjin Kwon commented on SPARK-25230:
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I think this is because we set the locale to ROOT to avoid
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https://issues.apache.org/jira/browse/SPARK-25227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592619#comment-16592619
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Hyukjin Kwon commented on SPARK-25227:
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Also, let's fix the JIRA title to be more specific while we
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Hyukjin Kwon commented on SPARK-25227:
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Can you post a reproducer against the current master?
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Hyukjin Kwon commented on SPARK-25226:
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Can you post a reproducer against the current master?
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Hyukjin Kwon commented on SPARK-25225:
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Can't you just manually cast to string first?
> Add
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https://issues.apache.org/jira/browse/SPARK-25193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592609#comment-16592609
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Marco Gaido commented on SPARK-25193:
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Well, this I think is HIVE-12505. So it would need to be
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Sean Owen resolved SPARK-24688.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21665
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Sean Owen reassigned SPARK-24688:
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Assignee: Weizhe Huang
> Clarify comments about LabeledPoint as (label, feature) pair rather
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Maxim Gekk updated SPARK-25240:
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Summary: A deadlock in ALTER TABLE RECOVER PARTITIONS (was: Dead-lock in
ALTER TABLE RECOVER
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Sean Owen updated SPARK-24688:
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Summary: Clarify comments about LabeledPoint as (label, feature) pair
rather than (feature, label)
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Apache Spark commented on SPARK-25240:
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User 'MaxGekk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-25240:
Assignee: (was: Apache Spark)
> Dead-lock in ALTER TABLE RECOVER PARTITIONS
>
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Apache Spark reassigned SPARK-25240:
Assignee: Apache Spark
> Dead-lock in ALTER TABLE RECOVER PARTITIONS
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Maxim Gekk created SPARK-25240:
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Summary: Dead-lock in ALTER TABLE RECOVER PARTITIONS
Key: SPARK-25240
URL: https://issues.apache.org/jira/browse/SPARK-25240
Project: Spark
Issue Type: Bug
Sidhavratha Kumar created SPARK-25239:
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Summary: Spark Streaming for Kafka should allow uniform batch size
per partition for streaming RDD
Key: SPARK-25239
URL:
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https://issues.apache.org/jira/browse/SPARK-25238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25238:
Assignee: (was: Apache Spark)
> Lint-Python: Upgrading to the current version of
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Apache Spark reassigned SPARK-25238:
Assignee: Apache Spark
> Lint-Python: Upgrading to the current version of pycodestyle
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Apache Spark commented on SPARK-25238:
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User 'cclauss' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Minh Thai updated SPARK-17368:
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Comment: was deleted
(was: [~jodersky] I know that this is an old ticket but I still want to give
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cclauss updated SPARK-25238:
Description:
See https://github.com/apache/spark/pull/22231
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cclauss updated SPARK-25238:
Description:
See https://github.com/apache/spark/pull/22231
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du updated SPARK-25237:
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Description:
In FileScanRdd, we will update inputMetrics's bytesRead using updateBytesRead
every 1000 rows or
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https://issues.apache.org/jira/browse/SPARK-25237?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25237:
Assignee: Apache Spark
> FileScanRdd's inputMetrics is wrong when select the datasource
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https://issues.apache.org/jira/browse/SPARK-25237?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16592502#comment-16592502
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Apache Spark commented on SPARK-25237:
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User 'dujunling' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-25237?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25237:
Assignee: (was: Apache Spark)
> FileScanRdd's inputMetrics is wrong when select the
du created SPARK-25237:
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Summary: FileScanRdd's inputMetrics is wrong when select the
datasource table with limit
Key: SPARK-25237
URL: https://issues.apache.org/jira/browse/SPARK-25237
Project: Spark
cclauss created SPARK-25238:
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Summary: Lint-Python: Upgrading to the current version of
pycodestyle fails
Key: SPARK-25238
URL: https://issues.apache.org/jira/browse/SPARK-25238
Project: Spark
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