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https://issues.apache.org/jira/browse/SPARK-19872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19872.
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> UnicodeDecodeError in
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Davies Liu reassigned SPARK-19872:
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Assignee: Hyukjin Kwon
> UnicodeDecodeError in Pyspark on sc.textFile read with repartition
>
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https://issues.apache.org/jira/browse/SPARK-19561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19561.
Resolution: Fixed
Assignee: Jason White
Fix Version/s: 2.2.0
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https://issues.apache.org/jira/browse/SPARK-19500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19500.
Resolution: Fixed
Fix Version/s: 2.2.0
2.0.3
2.1.1
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https://issues.apache.org/jira/browse/SPARK-19481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19481.
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-19500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-19500:
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Assignee: Davies Liu
> Fail to spill the aggregated hash map when radix sort is used
>
Davies Liu created SPARK-19500:
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Summary: Fail to spill the aggregated hash map when radix sort is
used
Key: SPARK-19500
URL: https://issues.apache.org/jira/browse/SPARK-19500
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-19415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19415.
Resolution: Duplicate
Fix Version/s: 2.2.0
> Improve the implicit type conversion between
Davies Liu created SPARK-19415:
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Summary: Improve the implicit type conversion between numeric type
and string to avoid precesion loss
Key: SPARK-19415
URL: https://issues.apache.org/jira/browse/SPARK-19415
Title: Message Title
Davies Liu commented on SPARK-18105
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https://issues.apache.org/jira/browse/SPARK-14480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reopened SPARK-14480:
This patch have a regression: A column that have escaped newline can't be
correctly parsed anymore.
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https://issues.apache.org/jira/browse/SPARK-19375?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-19375.
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Resolution: Duplicate
> na.fill() should not change the data type of column
>
Davies Liu created SPARK-19375:
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Summary: na.fill() should not change the data type of column
Key: SPARK-19375
URL: https://issues.apache.org/jira/browse/SPARK-19375
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-19370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-19370:
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Affects Version/s: 2.1.0
> Flaky test: MetadataCacheSuite
> --
>
>
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Davies Liu updated SPARK-19370:
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Description:
Davies Liu created SPARK-19370:
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Summary: Flaky test: MetadataCacheSuite
Key: SPARK-19370
URL: https://issues.apache.org/jira/browse/SPARK-19370
Project: Spark
Issue Type: Test
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https://issues.apache.org/jira/browse/SPARK-17912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17912.
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 15467
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Davies Liu updated SPARK-17912:
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Fix Version/s: (was: 3.0.0)
2.2.0
> Refactor code generation to get data for
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15830644#comment-15830644
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Davies Liu commented on SPARK-17602:
The Python workers are reused by default, could you re-run the
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https://issues.apache.org/jira/browse/SPARK-19019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19019.
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-19180?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-19180.
Resolution: Fixed
Fix Version/s: 2.0.3
2.1.1
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-18589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18589:
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Priority: Critical (was: Minor)
> persist() resolves "java.lang.RuntimeException: Invalid PythonUDF
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Davies Liu reassigned SPARK-18589:
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Assignee: Davies Liu
> persist() resolves "java.lang.RuntimeException: Invalid PythonUDF
>
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https://issues.apache.org/jira/browse/SPARK-18281?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-18281.
Resolution: Fixed
Fix Version/s: 2.0.3
2.1.1
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-18676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15746370#comment-15746370
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Davies Liu edited comment on SPARK-18676 at 12/13/16 9:47 PM:
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I had a
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Davies Liu commented on SPARK-18676:
I had a working prototype, but in introduce some weird behavior,
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Davies Liu commented on SPARK-18676:
Yes, it can, see WholeStageCodegen.doExecute() as an example.
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Davies Liu updated SPARK-16589:
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Fix Version/s: (was: 2.1.0)
2.1.1
> Chained cartesian produces incorrect
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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-16589.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.3
> Chained cartesian
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Davies Liu updated SPARK-16589:
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Assignee: Andrew Ray
> Chained cartesian produces incorrect number of records
>
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https://issues.apache.org/jira/browse/SPARK-18676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15726247#comment-15726247
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Davies Liu commented on SPARK-18676:
What's the schema and plan of the child looks like? It's
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https://issues.apache.org/jira/browse/SPARK-18719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18719:
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Assignee: Nicholas
> Document spark.ui.showConsoleProgress
> -
>
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Davies Liu resolved SPARK-18719.
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 16151
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Davies Liu updated SPARK-18719:
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Assignee: Nicholas Chammas (was: Nicholas)
> Document spark.ui.showConsoleProgress
>
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https://issues.apache.org/jira/browse/SPARK-18188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18188:
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Description:
There is an understanding issue for a long time:
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Davies Liu updated SPARK-18188:
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Summary: Add checksum for block of broadcast (was: Add checksum for block
in Spark)
> Add checksum
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https://issues.apache.org/jira/browse/SPARK-4105?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-4105:
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Assignee: Davies Liu (was: Josh Rosen)
> FAILED_TO_UNCOMPRESS(5) errors when fetching shuffle
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https://issues.apache.org/jira/browse/SPARK-18097?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15654590#comment-15654590
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Davies Liu commented on SPARK-18097:
I have no idea why the schema is corrupt, we could catch the
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https://issues.apache.org/jira/browse/SPARK-18254?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-18254.
Resolution: Fixed
Assignee: Eyal Farago (was: Davies Liu)
> UDFs don't see aliased column
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https://issues.apache.org/jira/browse/SPARK-18254?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15634416#comment-15634416
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Davies Liu commented on SPARK-18254:
Could you also try 2.0.2?
> UDFs don't see aliased column names
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https://issues.apache.org/jira/browse/SPARK-18254?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15634333#comment-15634333
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Davies Liu commented on SPARK-18254:
I tried the following in master (2.1), it works
{code}
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Davies Liu commented on SPARK-18254:
I doubt it's a bug in ExtractPythonUDFs, not operator push down,
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Davies Liu reassigned SPARK-18254:
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Assignee: Davies Liu
> UDFs don't see aliased column names
>
Davies Liu created SPARK-18233:
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Summary: Failed to deserialize the task
Key: SPARK-18233
URL: https://issues.apache.org/jira/browse/SPARK-18233
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-4549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-4549.
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Resolution: Incomplete
> Support BigInt -> Decimal in convertToCatalyst in SparkSQL
>
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https://issues.apache.org/jira/browse/SPARK-18212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15626935#comment-15626935
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Davies Liu commented on SPARK-18212:
cc [~zsxwing]
> Flaky test:
Davies Liu created SPARK-18212:
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Summary: Flaky test:
org.apache.spark.sql.kafka010.KafkaSourceSuite.assign from specific offsets
Key: SPARK-18212
URL: https://issues.apache.org/jira/browse/SPARK-18212
Davies Liu created SPARK-18188:
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Summary: Add checksum for block in Spark
Key: SPARK-18188
URL: https://issues.apache.org/jira/browse/SPARK-18188
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15612686#comment-15612686
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Davies Liu commented on SPARK-18105:
It turned out that the bug in LZ4 is a false alarm, so close the
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Davies Liu updated SPARK-18105:
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Priority: Major (was: Blocker)
> LZ4 failed to decompress a stream of shuffled data
>
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https://issues.apache.org/jira/browse/SPARK-16078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16078:
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Fix Version/s: 1.6.3
> from_utc_timestamp/to_utc_timestamp may give different result in different
>
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Davies Liu updated SPARK-18105:
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Description:
When lz4 is used to compress the shuffle files, it may fail to decompress it as
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https://issues.apache.org/jira/browse/SPARK-18100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15609078#comment-15609078
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Davies Liu commented on SPARK-18100:
[~viirya] Jackson does not support it either
> Improve the
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Davies Liu updated SPARK-18105:
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Priority: Blocker (was: Major)
> LZ4 failed to decompress a stream of shuffled data
>
Davies Liu created SPARK-18105:
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Summary: LZ4 failed to decompress a stream of shuffled data
Key: SPARK-18105
URL: https://issues.apache.org/jira/browse/SPARK-18105
Project: Spark
Issue Type:
Davies Liu created SPARK-18102:
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Summary: Failed to deserialize the result of task
Key: SPARK-18102
URL: https://issues.apache.org/jira/browse/SPARK-18102
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18100:
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Issue Type: Improvement (was: Bug)
> Improve the performance of get_json_object using Gson
>
Davies Liu created SPARK-18100:
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Summary: Improve the performance of get_json_object using Gson
Key: SPARK-18100
URL: https://issues.apache.org/jira/browse/SPARK-18100
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18097:
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Description:
When the schema of Hive table is broken, we can't drop the table using Spark
SQL, for
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https://issues.apache.org/jira/browse/SPARK-18097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18097:
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Description:
When the schema of Hive table is broken, we can't drop the table using Spark
SQL, for
Davies Liu created SPARK-18097:
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Summary: Can't drop a table from Hive if the schema is corrupt
Key: SPARK-18097
URL: https://issues.apache.org/jira/browse/SPARK-18097
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18055:
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Description:
Try to apply flatMap() on Dataset column which of of type
com.A.B
Here's a schema of a
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Davies Liu updated SPARK-18055:
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Description:
Try to apply flatMap() on Dataset column which of of type
com.A.B
Here's a schema of a
Davies Liu created SPARK-18055:
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Summary: Dataset.flatMap can't work with types from customized jar
Key: SPARK-18055
URL: https://issues.apache.org/jira/browse/SPARK-18055
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-18053:
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Assignee: Wenchen Fan
> ARRAY equality is broken in Spark 2.0
>
Davies Liu created SPARK-18037:
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Summary: Event listener should be aware of multiple tries of same
stage
Key: SPARK-18037
URL: https://issues.apache.org/jira/browse/SPARK-18037
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-10915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15592514#comment-15592514
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Davies Liu commented on SPARK-10915:
[~jason.white] When a aggregate function is applied, the order
Davies Liu created SPARK-18032:
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Summary: Spark test failed as OOM in jenkins
Key: SPARK-18032
URL: https://issues.apache.org/jira/browse/SPARK-18032
Project: Spark
Issue Type: Bug
Davies Liu created SPARK-18031:
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Summary: Flaky test:
org.apache.spark.streaming.scheduler.ExecutorAllocationManagerSuite basic
functionality
Key: SPARK-18031
URL: https://issues.apache.org/jira/browse/SPARK-18031
Davies Liu created SPARK-18030:
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Summary: Flaky test:
org.apache.spark.sql.streaming.FileStreamSourceSuite
Key: SPARK-18030
URL: https://issues.apache.org/jira/browse/SPARK-18030
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-17388?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17388.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14947
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Davies Liu commented on SPARK-10915:
Currently all the aggregate functions are implemented in Scala,
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Davies Liu commented on SPARK-10915:
Python UDF is executed in batch mode to have reasonable
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https://issues.apache.org/jira/browse/SPARK-17845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17845:
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Fix Version/s: 2.1.0
> Improve window function frame boundary API in DataFrame
>
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Davies Liu resolved SPARK-17845.
Resolution: Fixed
> Improve window function frame boundary API in DataFrame
>
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https://issues.apache.org/jira/browse/SPARK-15621?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15566858#comment-15566858
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Davies Liu commented on SPARK-15621:
[~rezasafi] We usually do not backport this kind of
Davies Liu created SPARK-17856:
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Summary: JVM Crash during tests: pyspark.mllib.linalg.distributed
Key: SPARK-17856
URL: https://issues.apache.org/jira/browse/SPARK-17856
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-17806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17806.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-17738?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1759#comment-1759
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Davies Liu commented on SPARK-17738:
I will looking into that.
> Flaky test:
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Davies Liu reassigned SPARK-17806:
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Assignee: Davies Liu
> Incorrect result when work with data from parquet
>
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Davies Liu updated SPARK-17806:
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Priority: Blocker (was: Critical)
> Incorrect result when work with data from parquet
>
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https://issues.apache.org/jira/browse/SPARK-16922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15549494#comment-15549494
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Davies Liu commented on SPARK-16922:
Thanks for the feedback, that's reasonable.
> Query with
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https://issues.apache.org/jira/browse/SPARK-15390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-15390.
Resolution: Fixed
> Memory management issue in complex DataFrame join and filter
>
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https://issues.apache.org/jira/browse/SPARK-15390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-15390:
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Fix Version/s: 2.0.1
> Memory management issue in complex DataFrame join and filter
>
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https://issues.apache.org/jira/browse/SPARK-15390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15546675#comment-15546675
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Davies Liu edited comment on SPARK-15390 at 10/4/16 9:11 PM:
-
@lulian Dragos
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Davies Liu updated SPARK-15390:
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Fix Version/s: (was: 2.0.0)
> Memory management issue in complex DataFrame join and filter
>
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Davies Liu commented on SPARK-15390:
@lulian Dragos I think this is a different issue, fixed by
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https://issues.apache.org/jira/browse/SPARK-17679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17679.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15254
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https://issues.apache.org/jira/browse/SPARK-17738?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17738:
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Fix Version/s: (was: 2.2.0)
2.1.0
> Flaky test:
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https://issues.apache.org/jira/browse/SPARK-17738?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17738.
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15305
Davies Liu created SPARK-17738:
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Summary: Flaky test:
org.apache.spark.sql.execution.columnar.ColumnTypeSuite MAP append/extract
Key: SPARK-17738
URL: https://issues.apache.org/jira/browse/SPARK-17738
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https://issues.apache.org/jira/browse/SPARK-17494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17494:
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Summary: Floor/ceil of decimal returns wrong result if it's in compact
format (was: Floor function
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https://issues.apache.org/jira/browse/SPARK-17100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17100:
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Fix Version/s: (was: 2.2.0)
2.1.0
> pyspark filter on a udf column after join
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https://issues.apache.org/jira/browse/SPARK-17100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-17100.
Resolution: Fixed
Fix Version/s: 2.2.0
2.0.1
Issue resolved by pull
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16439:
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Fix Version/s: (was: 2.2.0)
2.1.0
> Incorrect information in SQL Query
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https://issues.apache.org/jira/browse/SPARK-17494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-17494:
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Assignee: Davies Liu
> Floor function rounds up during join
>
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-16439:
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Assignee: Davies Liu (was: Maciej Bryński)
> Incorrect information in SQL Query details
>
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-16439.
Resolution: Fixed
Fix Version/s: (was: 2.0.0)
2.2.0
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reopened SPARK-16439:
We could bring the seperator back for better readability.
> Incorrect information in SQL Query
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15491744#comment-15491744
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Davies Liu commented on SPARK-16439:
The separator was added on purpose, otherwise it's very
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