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Apache Spark commented on SPARK-3481:
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User 'chenghao-intel' has created a pull
Yadong Qi created SPARK-3484:
Summary: Can updateStateByKey hold only last 10 keys?
Key: SPARK-3484
URL: https://issues.apache.org/jira/browse/SPARK-3484
Project: Spark
Issue Type: Question
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Sean Owen commented on SPARK-558:
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Is this stale too? given that SBT is less used, I don't
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Ismael Juma commented on SPARK-558:
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Probably stale, yes.
Simplify run script by
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Sean Owen resolved SPARK-683.
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Resolution: Fixed
I think this is likely long since obsolete or fixed, since Spark, Hadoop and
AMI Hadoop
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Sean Owen commented on SPARK-880:
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This should be resolved/obsoleted by subsequent updates
Adrian Wang created SPARK-3485:
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Summary: should check parameter type when find constructors
Key: SPARK-3485
URL: https://issues.apache.org/jira/browse/SPARK-3485
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-3480:
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User 'jameszhouyi' has created a pull request
Liquan Pei created SPARK-3486:
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Summary: Add PySpark support for Word2Vec
Key: SPARK-3486
URL: https://issues.apache.org/jira/browse/SPARK-3486
Project: Spark
Issue Type: New Feature
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Radim Kolar commented on SPARK-3482:
yes, SPARK-2960 is same issue.
Allow symlinking
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Prashant Sharma commented on SPARK-2182:
We will have to come up with a regex that
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Prashant Sharma commented on SPARK-2182:
Or there is even better
Regex for all
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Apache Spark commented on SPARK-3485:
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User 'adrian-wang' has created a pull request
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Apache Spark commented on SPARK-3486:
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User 'Ishiihara' has created a pull request for
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Yadong Qi closed SPARK-3484.
Resolution: Not a Problem
Can updateStateByKey hold only last 10 keys?
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Liquan Pei updated SPARK-3486:
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Summary: [MLlib]Add PySpark support for Word2Vec (was: Add PySpark support
for Word2Vec)
[MLlib]Add
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Thomas Graves updated SPARK-3477:
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Description:
With the addition of new features and supporting multiple versions of yarn the
code
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Thomas Graves resolved SPARK-2140.
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Resolution: Fixed
Fix Version/s: (was: 1.0.1)
(was:
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Gaurav Mishra edited comment on SPARK-3435 at 9/11/14 1:26 PM:
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Andrew Ash updated SPARK-2532:
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Component/s: Shuffle
Fix issues with consolidated shuffle
Mohit Jaggi created SPARK-3489:
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Summary: support rdd.zip(rdd1, rdd2,...) with variable number of
rdds as params
Key: SPARK-3489
URL: https://issues.apache.org/jira/browse/SPARK-3489
Project: Spark
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Joseph K. Bradley updated SPARK-3158:
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Description:
Improvement: computation
Currently, the implementation does one unnecessary
Andrew Or created SPARK-3490:
Summary: Alleviate port collisions during tests
Key: SPARK-3490
URL: https://issues.apache.org/jira/browse/SPARK-3490
Project: Spark
Issue Type: Bug
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Andrew Ash commented on SPARK-3172:
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Sandy do you mean distinguish between these two in
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Andrew Ash updated SPARK-2791:
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Component/s: Shuffle
Fix committing, reverting and state tracking in shuffle file consolidation
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Andrew Ash updated SPARK-1239:
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Component/s: Shuffle
Don't fetch all map output statuses at each reducer during shuffles
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Andrew Ash updated SPARK-3277:
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Component/s: Shuffle
LZ4 compression cause the the ExternalSort exception
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Kousuke Saruta closed SPARK-3487.
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Resolution: Unresolved
Remove unused import in ApplicationMaster
Davies Liu created SPARK-3491:
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Summary: Use pickle to serialize the data in MLlib Python
Key: SPARK-3491
URL: https://issues.apache.org/jira/browse/SPARK-3491
Project: Spark
Issue Type:
Andrew Or created SPARK-3492:
Summary: Clean up Yarn integration code
Key: SPARK-3492
URL: https://issues.apache.org/jira/browse/SPARK-3492
Project: Spark
Issue Type: Improvement
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Andrew Or updated SPARK-2933:
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Summary: Refactor and cleanup Yarn AM code (was: Cleanup unnecessary and
duplicated code in Yarn module)
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Andrew Or updated SPARK-2933:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-3492
Cleanup unnecessary and duplicated
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Michael Armbrust updated SPARK-3421:
Target Version/s: 1.2.0 (was: 1.1.0)
StructField.toString should quote the name field to
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Michael Armbrust resolved SPARK-2560.
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Resolution: Fixed
Fix Version/s: 1.1.0
Assignee: Michael Armbrust
The 1.1
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Nicholas Chammas commented on SPARK-2560:
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[~marmbrus] - Would that be [this
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Sandy Ryza commented on SPARK-3172:
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I mean in the web UI (which will require
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Josh Rosen resolved SPARK-3047.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 1951
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Michael Armbrust commented on SPARK-2560:
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Yeah, that coupled with the earlier
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Michael Armbrust resolved SPARK-2917.
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Resolution: Fixed
Fix Version/s: 1.2.0
Avoid CTAS creates table in logical plan
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Andrew Or updated SPARK-1047:
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Target Version/s: 1.2.0
Assignee: Andrew Or
Ability to disable the spark ui server (unit
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Andrew Or commented on SPARK-1047:
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Here's the more updated PR:
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Andrew Or updated SPARK-3490:
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Target Version/s: 1.1.1, 1.2.0 (was: 1.1.1)
Alleviate port collisions during tests
Andrew Or created SPARK-3493:
Summary: Unrolling behavior is too aggressive in dropping blocks
Key: SPARK-3493
URL: https://issues.apache.org/jira/browse/SPARK-3493
Project: Spark
Issue Type:
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Andrew Or updated SPARK-3493:
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Priority: Major (was: Critical)
Unrolling behavior is too aggressive in dropping blocks
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Andrew Or updated SPARK-3493:
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Issue Type: Bug (was: Improvement)
Unrolling behavior is too aggressive in dropping blocks
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Nicholas Chammas commented on SPARK-2560:
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I guess that's good for starters, but I
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Apache Spark commented on SPARK-3390:
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User 'yhuai' has created a pull request for
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Marcelo Vanzin commented on SPARK-3492:
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If you want to keep track, SPARK-3187 is
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Thomas Graves updated SPARK-3374:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-3492
Spark on Yarn config cleanup
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Thomas Graves resolved SPARK-1891.
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Resolution: Fixed
Add admin acls to the Web UI
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Erik Erlandson commented on SPARK-3250:
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I developed prototype iterator classes for
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Michael Armbrust resolved SPARK-3390.
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Resolution: Fixed
Fix Version/s: 1.2.0
sqlContext.jsonRDD fails on a complex
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Andrew Or updated SPARK-2669:
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Affects Version/s: 1.0.0
Hadoop configuration is not localised when submitting job in yarn-cluster mode
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Andrew Or updated SPARK-2669:
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Component/s: YARN
Hadoop configuration is not localised when submitting job in yarn-cluster mode
Joseph K. Bradley created SPARK-3494:
Summary: DecisionTree overflow error in calculating maxMemoryUsage
Key: SPARK-3494
URL: https://issues.apache.org/jira/browse/SPARK-3494
Project: Spark
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Fi commented on SPARK-1764:
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FYI the workaround described in SPARK-2282 got me past the same EOF
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Andrew Or updated SPARK-2058:
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Fix Version/s: (was: 1.0.1)
(was: 1.1.0)
SPARK_CONF_DIR should override all
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Andrew Or updated SPARK-2058:
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Target Version/s: 1.1.1, 1.2.0 (was: 1.0.1, 1.1.1, 1.2.0)
SPARK_CONF_DIR should override all present
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Andrew Or updated SPARK-2058:
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Target Version/s: 1.0.1, 1.1.1, 1.2.0 (was: 1.0.1)
SPARK_CONF_DIR should override all present configs
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Apache Spark commented on SPARK-2951:
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User 'davies' has created a pull request for
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RJ Nowling commented on SPARK-3250:
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Great work!
If these performance improvements hold
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Davies Liu resolved SPARK-1764.
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Resolution: Fixed
This is fixed by #2282
EOF reached before Python server acknowledged
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Davies Liu updated SPARK-1764:
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Fix Version/s: 1.1.0
EOF reached before Python server acknowledged
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Andrew Or commented on SPARK-3490:
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Fixed in https://github.com/apache/spark/pull/2363
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Andrew Or closed SPARK-1047.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Ability to disable the spark ui
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Andrew Or updated SPARK-3490:
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Fix Version/s: 1.2.0
1.1.1
Alleviate port collisions during tests
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Andrew Or closed SPARK-3429.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Andrew Ash
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Michael Armbrust commented on SPARK-2560:
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Honestly for now I'd point people at
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Michael Armbrust resolved SPARK-3462.
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Resolution: Fixed
Fix Version/s: 1.2.0
parquet pushdown for unionAll
Tathagata Das created SPARK-3495:
Summary: Block replication fails continuously when the replication
target node is dead
Key: SPARK-3495
URL: https://issues.apache.org/jira/browse/SPARK-3495
Project:
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Nicholas Chammas commented on SPARK-2045:
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The [1.1.0 release
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Apache Spark commented on SPARK-3495:
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User 'tdas' has created a pull request for this
Tathagata Das created SPARK-3496:
Summary: Block replication can by mistake choose driver
BlockManager as a peer for replication
Key: SPARK-3496
URL: https://issues.apache.org/jira/browse/SPARK-3496
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Andrew Or commented on SPARK-2482:
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Fixed in https://github.com/apache/spark/pull/1330
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Andrew Or closed SPARK-2482.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Guoqiang Li
Target Version/s:
Sandy Ryza created SPARK-3497:
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Summary: Report serialized size of task binary
Key: SPARK-3497
URL: https://issues.apache.org/jira/browse/SPARK-3497
Project: Spark
Issue Type: Improvement
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Saisai Shao updated SPARK-2926:
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Attachment: Spark Shuffle Test Report(contd).pdf
Add MR-style (merge-sort) SortShuffleReader for
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Yu Ishikawa updated SPARK-3416:
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Description:
I think matrix operations for large data set would be helpful. There is a
method to
shenhong created SPARK-3498:
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Summary: Block always replicated to the same node
Key: SPARK-3498
URL: https://issues.apache.org/jira/browse/SPARK-3498
Project: Spark
Issue Type: Improvement
Nicholas Chammas created SPARK-3499:
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Summary: Create Spark-based distcp utility
Key: SPARK-3499
URL: https://issues.apache.org/jira/browse/SPARK-3499
Project: Spark
Issue Type: Wish
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shenhong updated SPARK-3498:
Description:
When running a spark streaming job, we should replicate receiver blocks, but
all the blocks
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shenhong updated SPARK-3498:
Description:
When running a spark streaming job, we should replicate receiver blocks, but
all the blocks
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shenhong updated SPARK-3498:
Description:
When running a spark streaming job, we should replicate receiver blocks, but
all the blocks
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shenhong updated SPARK-3498:
Description:
When running a spark streaming job, we should replicate receiver blocks, but
all the blocks
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shenhong updated SPARK-3498:
Description:
When running a spark streaming job, we should replicate receiver blocks, but
all the blocks
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Nicholas Chammas commented on SPARK-3499:
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I'm not sure if this type of request
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Kousuke Saruta updated SPARK-3377:
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Summary: Metrics can be accidentally aggregated against our intention
(was: Don't mix metrics
Davies Liu created SPARK-3500:
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Summary: SchemaRDD from jsonRDD() has not coalesce() method
Key: SPARK-3500
URL: https://issues.apache.org/jira/browse/SPARK-3500
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-3501:
Summary: Hive SimpleUDF will create duplicated type cast which
cause exception in constant folding
Key: SPARK-3501
URL: https://issues.apache.org/jira/browse/SPARK-3501
Reynold Xin created SPARK-3502:
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Summary: SO_RCVBUF and SO_SNDBUF should be bootstrap childOption,
not option
Key: SPARK-3502
URL: https://issues.apache.org/jira/browse/SPARK-3502
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-3501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14131120#comment-14131120
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Apache Spark commented on SPARK-3501:
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User 'chenghao-intel' has created a pull
Reynold Xin created SPARK-3503:
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Summary: Disable thread local cache in PooledByteBufAllocator
Key: SPARK-3503
URL: https://issues.apache.org/jira/browse/SPARK-3503
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-3018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-3018:
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Description: BlockFetcherIterator retains ManagedBuffers returned by
BlockClient.fetchBlocks. Those
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https://issues.apache.org/jira/browse/SPARK-3002?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-3002:
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Summary: Maintains a connection pool and reuse clients in
BlockClientFactory (was: Reuse Netty
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https://issues.apache.org/jira/browse/SPARK-3500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-3500:
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Description:
{code}
sqlCtx.jsonRDD(sc.parallelize(['{foo:bar}',
'{foo:baz}'])).coalesce(1)
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https://issues.apache.org/jira/browse/SPARK-3500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-3500:
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Description:
```
sqlCtx.jsonRDD(sc.parallelize(['{foo:bar}',
'{foo:baz}'])).coalesce(1)
Py4JError:
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