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Apache Spark commented on SPARK-21090:
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User '10110346' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21090:
Assignee: (was: Apache Spark)
> Optimize the unified memory manager code
>
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Apache Spark reassigned SPARK-21090:
Assignee: Apache Spark
> Optimize the unified memory manager code
>
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liuxian updated SPARK-21090:
Description:
1.In *acquireStorageMemory*, when the MemoryMode is OFF_HEAP ,the *maxMemory*
should be
liuxian created SPARK-21090:
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Summary: Optimize the unified memory manager code
Key: SPARK-21090
URL: https://issues.apache.org/jira/browse/SPARK-21090
Project: Spark
Issue Type: Improvement
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yuhao yang commented on SPARK-21087:
I'd like to work on this if my
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yuhao yang edited comment on SPARK-21086 at 6/14/17 5:22 AM:
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Sounds good.
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Apache Spark commented on SPARK-21085:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-21085:
Assignee: Apache Spark (was: Xiao Li)
> Failed to read the partitioned table created by
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Apache Spark reassigned SPARK-21085:
Assignee: Xiao Li (was: Apache Spark)
> Failed to read the partitioned table created by
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yuhao yang edited comment on SPARK-21086 at 6/14/17 5:12 AM:
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Sounds good.
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Apache Spark reassigned SPARK-21089:
Assignee: Apache Spark (was: Xiao Li)
> Table properties are not shown in DESC
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Apache Spark reassigned SPARK-21089:
Assignee: Xiao Li (was: Apache Spark)
> Table properties are not shown in DESC
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Apache Spark commented on SPARK-21089:
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User 'gatorsmile' has created a pull request for this issue:
Xiao Li created SPARK-21089:
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Summary: Table properties are not shown in DESC EXTENDED/FORMATTED
Key: SPARK-21089
URL: https://issues.apache.org/jira/browse/SPARK-21089
Project: Spark
Issue Type:
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Xiao Li updated SPARK-21089:
Target Version/s: 2.2.0
> Table properties are not shown in DESC EXTENDED/FORMATTED
>
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yuhao yang commented on SPARK-20988:
Eh.. I was trying to add the squared_hinge loss to LinearSVC and
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Wenchen Fan reassigned SPARK-19753:
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Assignee: Sital Kedia
> Remove all shuffle files on a host in case of slave lost of fetch
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Wenchen Fan resolved SPARK-19753.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18150
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yuhao yang resolved SPARK-20348.
Resolution: Duplicate
Combine it with SPARK-20602 and resolve this as duplicate.
> Support
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yuhao yang commented on SPARK-20602:
Combining this with SPARK-20348. Support squared hinge loss (L2
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yuhao yang updated SPARK-20602:
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Summary: Adding LBFGS optimizer and Squared_hinge loss for LinearSVC (was:
Adding LBFGS as
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DjvuLee edited comment on SPARK-21082 at 6/14/17 3:15 AM:
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[~srowen] This
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DjvuLee commented on SPARK-21082:
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My idea is try to consider the BlockManger information when scheduling
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DjvuLee commented on SPARK-21082:
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[~srowen] This situation occurred when the partition number is larger
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fangfengbin commented on SPARK-21078:
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[~sowen], this actually cause a problem in practice, when
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yuhao yang commented on SPARK-21086:
Sounds good. About the default path for saving different models,
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吴志龙 commented on SPARK-21075:
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ok,thanks
> spark 2.2 mvn [error] javac: invalid source release: 1.8
>
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Wenchen Fan reassigned SPARK-20986:
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Assignee: Lianhui Wang
> Reset table's statistics after PruneFileSourcePartitions rule.
>
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Vincent commented on SPARK-20988:
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opps. I have finished the conversion part, but there are still other
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Wenchen Fan resolved SPARK-20986.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 18205
Joseph K. Bradley created SPARK-21088:
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Summary: CrossValidator, TrainValidationSplit should preserve all
models after fitting: Python
Key: SPARK-21088
URL: https://issues.apache.org/jira/browse/SPARK-21088
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Joseph K. Bradley updated SPARK-21088:
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Component/s: PySpark
> CrossValidator, TrainValidationSplit should preserve all models
Joseph K. Bradley created SPARK-21087:
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Summary: CrossValidator, TrainValidationSplit should preserve all
models after fitting: Scala
Key: SPARK-21087
URL: https://issues.apache.org/jira/browse/SPARK-21087
Joseph K. Bradley created SPARK-21086:
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Summary: CrossValidator, TrainValidationSplit should preserve all
models after fitting
Key: SPARK-21086
URL: https://issues.apache.org/jira/browse/SPARK-21086
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Wenchen Fan reassigned SPARK-12552:
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Assignee: Saisai Shao (was: Apache Spark)
> Recovered driver's resource is not counted in
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Wenchen Fan resolved SPARK-12552.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull
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Shixiong Zhu updated SPARK-20979:
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Fix Version/s: 2.2.0
> Add a rate source to generate values for tests and benchmark
>
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Xiao Li updated SPARK-21085:
Summary: Failed to read the partitioned table created by Spark 2.1 (was:
Failed to read the table created
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Xiao Li updated SPARK-21085:
Description:
Spark 2.2 is unable to read the partitioned table created by Spark 2.1 when the
table schema
Xiao Li created SPARK-21085:
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Summary: Failed to read the table created by Spark 2.1
Key: SPARK-21085
URL: https://issues.apache.org/jira/browse/SPARK-21085
Project: Spark
Issue Type: Bug
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Seth Hendrickson commented on SPARK-20988:
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I've already started it a bit. Would you mind doing
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yuhao yang updated SPARK-20602:
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Description:
Currently LinearSVC in Spark only supports OWLQN as the optimizer ( check
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holdenk updated SPARK-21084:
Component/s: YARN
Scheduler
Block Manager
> Improvements to dynamic
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holdenk updated SPARK-21084:
Affects Version/s: 2.3.0
> Improvements to dynamic allocation for notebook use cases
>
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Frederick Reiss updated SPARK-21084:
Description:
One important application of Spark is to support many notebook users with a
Frederick Reiss created SPARK-21084:
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Summary: Improvements to dynamic allocation for notebook use cases
Key: SPARK-21084
URL: https://issues.apache.org/jira/browse/SPARK-21084
Project: Spark
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Joseph K. Bradley commented on SPARK-1:
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Thanks for explaining! I just rediscovered this
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Hyukjin Kwon commented on SPARK-21077:
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I also think it is not a Spark issue at least and it looks
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Zhenhua Wang commented on SPARK-21079:
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[~mbasmanova] Great~
> ANALYZE TABLE fails to calculate
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Maria commented on SPARK-21079:
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[~ZenWzh], yes, I have a fix and will try to submit a PR.
> ANALYZE TABLE
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Zhenhua Wang commented on SPARK-21079:
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[~tejasp] Thanks for the explanation! [~mbasmanova] Would
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Apache Spark reassigned SPARK-20379:
Assignee: (was: Apache Spark)
> Allow setting SSL-related passwords through env
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Apache Spark reassigned SPARK-20379:
Assignee: Apache Spark
> Allow setting SSL-related passwords through env variables
>
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Apache Spark commented on SPARK-20379:
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User 'vanzin' has created a pull request for this issue:
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Zhenhua Wang updated SPARK-17129:
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Description: I upgrade this JIRA, because there are many tasks found and
needed to be done here.
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Zhenhua Wang updated SPARK-15616:
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Affects Version/s: 2.3.0
Issue Type: Sub-task (was: Improvement)
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Zhenhua Wang updated SPARK-17129:
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Description: I upgrade this JIRA, because there are a few tasks found and
needed to be done
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Zhenhua Wang updated SPARK-16669:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-17129
> Partition pruning for metastore
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Zhenhua Wang updated SPARK-20986:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-17129
> Reset table's statistics after
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Zhenhua Wang updated SPARK-21079:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-17129
> ANALYZE TABLE fails to calculate
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Zhenhua Wang updated SPARK-17129:
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Affects Version/s: 2.3.0
Issue Type: Improvement (was: Sub-task)
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Zhenhua Wang updated SPARK-17129:
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Description: I upgrade this JIRA as an umbrella ticket, because there are a
few tasks found and
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Zhenhua Wang updated SPARK-17129:
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Summary: Support statistics collection and cardinality estimation for
partitioned tables (was:
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Dongjoon Hyun edited comment on SPARK-21075 at 6/13/17 8:46 PM:
Please do
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Dongjoon Hyun commented on SPARK-21075:
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Please do `jps` and check whether `Zinc` is running or
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Tejas Patil commented on SPARK-21079:
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[~ZenWzh] The reason why unit tests won't catch this is
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Dominic Ricard updated SPARK-21067:
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Description:
After upgrading our Thrift cluster to 2.1.1, we ran into an issue where CTAS
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Maria updated SPARK-21079:
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Comment: was deleted
(was: [~ZenWzh], I'm using partitioned table created by Hive. The data is
stored in DWRF
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Sean Owen commented on SPARK-21082:
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I don't see how this would interact with, for example, data
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Maria commented on SPARK-21079:
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[~ZenWzh], I'm using partitioned table created by Hive. The data is stored
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Zhenhua Wang commented on SPARK-21079:
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Can you post your usage here? We have tests for partitioned
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Aarati Khobare commented on SPARK-18294:
Hi Jiang
I am new to spark and hive, so please let me
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DjvuLee updated SPARK-21082:
Description:
Spark Scheduler do not consider the memory usage during dispatch tasks, this
can lead to
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DjvuLee commented on SPARK-21082:
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If this feature is a good suggestion(we encounter this problem in
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DjvuLee updated SPARK-21082:
Description:
Spark Scheduler do not consider the memory usage during dispatch tasks, this
can lead to
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DjvuLee updated SPARK-21082:
Description: Spark Scheduler do not consider the memory usage during
dispatch tasks, this can lead to
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Apache Spark reassigned SPARK-21083:
Assignee: Apache Spark
> Consider staleness when collecting column stats
>
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Apache Spark reassigned SPARK-21083:
Assignee: (was: Apache Spark)
> Consider staleness when collecting column stats
>
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Apache Spark commented on SPARK-21083:
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User 'wzhfy' has created a pull request for this issue:
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Zhenhua Wang updated SPARK-21083:
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Description:
Suppose we already collected column stats for some columns before, then, when
we
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Zhenhua Wang updated SPARK-21083:
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Description:
Suppose we already collected column stats for some columns before, then, when
we
Zhenhua Wang created SPARK-21083:
Summary: Consider staleness when collecting column stats
Key: SPARK-21083
URL: https://issues.apache.org/jira/browse/SPARK-21083
Project: Spark
Issue Type:
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DjvuLee updated SPARK-21082:
Description: When we cache the
> Consider Executor's memory usage when scheduling task
>
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DjvuLee updated SPARK-21082:
Component/s: Scheduler
> Consider Executor's memory usage when scheduling task
>
DjvuLee created SPARK-21082:
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Summary: Consider the Executor's Memory usage when scheduling task
Key: SPARK-21082
URL: https://issues.apache.org/jira/browse/SPARK-21082
Project: Spark
Issue Type:
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DjvuLee updated SPARK-21082:
Summary: Consider Executor's memory usage when scheduling task (was:
Consider the Executor's Memory
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Xiao Li resolved SPARK-21051.
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Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.3.0
> Add hash map metrics
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https://issues.apache.org/jira/browse/SPARK-20812?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Gummelt updated SPARK-20812:
Description:
Mesos 1.4 will support secrets. In order to support sending keytabs through
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https://issues.apache.org/jira/browse/SPARK-20892?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16048111#comment-16048111
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Apache Spark commented on SPARK-20892:
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User 'actuaryzhang' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-21081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16048104#comment-16048104
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Sean Owen commented on SPARK-21081:
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Where would you want to catch and handle that separately?
> Throw
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https://issues.apache.org/jira/browse/SPARK-21081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Filipp Zhinkin updated SPARK-21081:
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Summary: Throw specific IllegalStateException subtype when asserting that
SparkContext not
Filipp Zhinkin created SPARK-21081:
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Summary: Throw specific IllegalStateException subtype when that
asserting SparkContext not stopped
Key: SPARK-21081
URL: https://issues.apache.org/jira/browse/SPARK-21081
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https://issues.apache.org/jira/browse/SPARK-20989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20989:
Assignee: Apache Spark
> Fail to start multiple workers on one host if external shuffle
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https://issues.apache.org/jira/browse/SPARK-20989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20989:
Assignee: (was: Apache Spark)
> Fail to start multiple workers on one host if
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https://issues.apache.org/jira/browse/SPARK-20989?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16048028#comment-16048028
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Apache Spark commented on SPARK-20989:
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User 'jiangxb1987' has created a pull request for this
Lukasz Raszka created SPARK-21080:
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Summary: Workaround for HDFS delegation token expiry broken with
some Hadoop versions
Key: SPARK-21080
URL: https://issues.apache.org/jira/browse/SPARK-21080
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https://issues.apache.org/jira/browse/SPARK-21064?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21064.
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Resolution: Fixed
Fix Version/s: 2.1.2
2.3.0
2.2.1
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https://issues.apache.org/jira/browse/SPARK-21060?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21060.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Resolved by
Maria created SPARK-21079:
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Summary: ANALYZE TABLE fails to calculate totalSize for a
partitioned table
Key: SPARK-21079
URL: https://issues.apache.org/jira/browse/SPARK-21079
Project: Spark
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