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Cheng Lian commented on SPARK-37980:
[~prakharjain09], as you've mentioned, it's not super
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Cheng Lian updated SPARK-31935:
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Affects Version/s: (was: 3.0.1)
(was: 3.1.0)
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Cheng Lian updated SPARK-26352:
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Summary: Join reordering should not change the order of output attributes
(was: join reordering
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Cheng Lian updated SPARK-29667:
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Environment: (was: spark-2.4.3-bin-dbr-5.5-snapshot-9833d0f)
> implicitly convert mismatched
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Cheng Lian commented on SPARK-29667:
Reproduced this with the following snippet:
{code}
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Cheng Lian updated SPARK-26806:
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Reporter: Cheng Lian (was: liancheng)
> EventTimeStats.merge doesn't handle "zero.merge(zero)"
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Cheng Lian updated SPARK-26806:
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Description:
Right now, EventTimeStats.merge doesn't handle "zero.merge(zero)". This will
make
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Cheng Lian reassigned SPARK-27369:
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Assignee: wuyi
> Standalone worker can load resource conf and discover resources
>
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Cheng Lian reassigned SPARK-27611:
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Assignee: Cheng Lian
> Redundant javax.activation dependencies in the Maven build
>
Cheng Lian created SPARK-27611:
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Summary: Redundant javax.activation dependencies in the Maven build
Key: SPARK-27611
URL: https://issues.apache.org/jira/browse/SPARK-27611
Project: Spark
Issue
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Cheng Lian commented on SPARK-25966:
[~andrioni], just realized that I might misunderstand this part
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Cheng Lian edited comment on SPARK-25966 at 11/7/18 5:34 PM:
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Hey,
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Cheng Lian edited comment on SPARK-25966 at 11/7/18 5:34 PM:
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Hey,
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Cheng Lian commented on SPARK-25966:
Hey, [~andrioni], if you still have the original (potentially)
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Cheng Lian reassigned SPARK-24927:
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Assignee: Cheng Lian
> The hadoop-provided profile doesn't play well with Snappy-compressed
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Cheng Lian updated SPARK-24927:
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Description:
Reproduction:
{noformat}
wget
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Cheng Lian commented on SPARK-24927:
Downgraded from blocker to major, since it's not a regression.
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Cheng Lian updated SPARK-24927:
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Priority: Major (was: Blocker)
> The hadoop-provided profile doesn't play well with
Cheng Lian created SPARK-24927:
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Summary: The hadoop-provided profile doesn't play well with
Snappy-compressed Parquet files
Key: SPARK-24927
URL: https://issues.apache.org/jira/browse/SPARK-24927
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Cheng Lian reassigned SPARK-24895:
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Assignee: Eric Chang
> Spark 2.4.0 Snapshot artifacts has broken metadata due to mismatched
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Cheng Lian updated SPARK-24895:
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Description:
Spark 2.4.0 has Maven build errors because artifacts uploaded to apache maven
repo
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Cheng Lian commented on SPARK-19737:
[~LANDAIS Christophe], I filed SPARK-23486 for this. Should be
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Cheng Lian updated SPARK-23486:
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Labels: starter (was: )
> LookupFunctions should not check the same function name more than once
>
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Cheng Lian commented on SPARK-23486:
Please refer to [this
Cheng Lian created SPARK-23486:
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Summary: LookupFunctions should not check the same function name
more than once
Key: SPARK-23486
URL: https://issues.apache.org/jira/browse/SPARK-23486
Project: Spark
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Cheng Lian resolved SPARK-22951.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20174
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Cheng Lian reassigned SPARK-22951:
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Assignee: Feng Liu
> count() after dropDuplicates() on emptyDataFrame returns incorrect value
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Cheng Lian updated SPARK-22951:
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Target Version/s: 2.3.0
> count() after dropDuplicates() on emptyDataFrame returns incorrect value
>
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Cheng Lian updated SPARK-22951:
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Labels: correctness (was: )
> count() after dropDuplicates() on emptyDataFrame returns incorrect
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https://issues.apache.org/jira/browse/HADOOP-15086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16275422#comment-16275422
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Cheng Lian commented on HADOOP-15086:
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To be more specific, when multiple threads rename files to
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Cheng Lian reassigned PARQUET-1102:
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Assignee: Cheng Lian
> Travis CI builds are failing for parquet-format PRs
>
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Cheng Lian resolved PARQUET-1091.
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Resolution: Fixed
Fix Version/s: format-2.3.2
Issue resolved by pull request 65
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Cheng Lian resolved PARQUET-1102.
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Resolution: Fixed
Fix Version/s: format-2.3.2
Issue resolved by pull request 66
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Cheng Lian updated PARQUET-1102:
Priority: Blocker (was: Major)
> Travis CI builds are failing for parquet-format PRs
>
Cheng Lian created PARQUET-1102:
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Summary: Travis CI builds are failing for parquet-format PRs
Key: PARQUET-1102
URL: https://issues.apache.org/jira/browse/PARQUET-1102
Project: Parquet
Issue
Cheng Lian created PARQUET-1091:
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Summary: Wrong and broken links in README
Key: PARQUET-1091
URL: https://issues.apache.org/jira/browse/PARQUET-1091
Project: Parquet
Issue Type: Bug
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Cheng Lian updated HADOOP-14700:
Description:
{{NativeAzureFileSystem}} instances are associated with the blob container used
to
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Cheng Lian updated HADOOP-14700:
Description:
{{NativeAzureFileSystem}} instances are associated with the blob container used
to
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Cheng Lian commented on HADOOP-14700:
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Oops... Thanks for pointing out the typo,
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Cheng Lian updated HADOOP-14700:
Description:
{{NativeAzureFileSystem}} instances are associated with the blob container used
to
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Cheng Lian updated HADOOP-14700:
Description:
{{NativeAzureFileSystem}} instances are associated with the blob container used
to
Cheng Lian created HADOOP-14700:
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Summary: NativeAzureFileSystem.open() ignores blob container name
Key: HADOOP-14700
URL: https://issues.apache.org/jira/browse/HADOOP-14700
Project: Hadoop Common
Cheng Lian created HADOOP-14700:
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Summary: NativeAzureFileSystem.open() ignores blob container name
Key: HADOOP-14700
URL: https://issues.apache.org/jira/browse/HADOOP-14700
Project: Hadoop Common
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Cheng Lian reassigned SPARK-9686:
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Assignee: (was: Cheng Lian)
> Spark Thrift server doesn't return correct JDBC metadata
>
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Cheng Lian commented on SPARK-20958:
[~marmbrus], here is the draft release note entry:
{quote}
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Cheng Lian updated SPARK-20958:
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Labels: release-notes release_notes releasenotes (was: release-notes)
> Roll back parquet-mr 1.8.2
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Cheng Lian commented on SPARK-20958:
Thanks [~rdblue]! I'm also reluctant to roll it back considering
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Cheng Lian commented on SPARK-20958:
[~rdblue] I think the root cause here is we cherry-picked
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Cheng Lian updated SPARK-20958:
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Description:
We recently realized that parquet-mr 1.8.2 used by Spark 2.2.0-rc2 depends on
avro
Cheng Lian created SPARK-20958:
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Summary: Roll back parquet-mr 1.8.2 to parquet-1.8.1
Key: SPARK-20958
URL: https://issues.apache.org/jira/browse/SPARK-20958
Project: Spark
Issue Type: Bug
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Cheng Lian edited comment on PARQUET-980 at 5/11/17 10:46 PM:
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The current
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Cheng Lian commented on PARQUET-980:
The current write path ensures that it never writes a page that
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Cheng Lian updated PARQUET-980:
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Affects Version/s: 1.8.1
1.8.2
> Cannot read row group larger than 2GB
>
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Cheng Lian updated SPARK-20132:
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Fix Version/s: 2.2.0
> Add documentation for column string functions
>
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Cheng Lian updated SPARK-20246:
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Labels: correctness (was: )
> Should check determinism when pushing predicates down through
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Cheng Lian commented on SPARK-20246:
[This
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Cheng Lian updated SPARK-19716:
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Fix Version/s: (was: 2.3.0)
2.2.0
> Dataset should allow by-name resolution
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Cheng Lian resolved SPARK-19716.
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 17398
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Cheng Lian reassigned SPARK-19716:
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Assignee: Wenchen Fan
> Dataset should allow by-name resolution for struct type elements in
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Cheng Lian updated SPARK-19912:
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Summary: String literals are not escaped while performing Hive metastore
level partition pruning
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Cheng Lian updated SPARK-19912:
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Description:
{{Shim_v0_13.convertFilters()}} doesn't escape string literals while generating
Hive
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Cheng Lian updated SPARK-19887:
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Labels: correctness (was: )
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition value
Cheng Lian created SPARK-19912:
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Summary: String literals are not escaped while performing
partition pruning at Hive metastore level
Key: SPARK-19912
URL: https://issues.apache.org/jira/browse/SPARK-19912
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Cheng Lian updated SPARK-19887:
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Affects Version/s: 2.2.0
> __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition value in
Cheng Lian created SPARK-19905:
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Summary: Dataset.inputFiles is broken for Hive SerDe tables
Key: SPARK-19905
URL: https://issues.apache.org/jira/browse/SPARK-19905
Project: Spark
Issue Type:
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Cheng Lian updated SPARK-19887:
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Description:
The following Spark shell snippet under Spark 2.1 reproduces this issue:
{code}
val
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Cheng Lian updated SPARK-19887:
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Description:
The following Spark shell snippet under Spark 2.1 reproduces this issue:
{code}
val
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Cheng Lian updated SPARK-19887:
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Summary: __HIVE_DEFAULT_PARTITION__ is not interpreted as NULL partition
value in partitioned
Cheng Lian created SPARK-19887:
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Summary: __HIVE_DEFAULT_PARTITION__ not interpreted as NULL
partition value in partitioned persisted tables
Key: SPARK-19887
URL: https://issues.apache.org/jira/browse/SPARK-19887
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Cheng Lian commented on SPARK-19887:
cc [~cloud_fan]
> __HIVE_DEFAULT_PARTITION__ not interpreted as
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Cheng Lian resolved SPARK-19737.
Resolution: Fixed
Issue resolved by pull request 17168
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Cheng Lian reassigned SPARK-19737:
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Assignee: Cheng Lian
> New analysis rule for reporting unregistered functions without relying
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Cheng Lian updated SPARK-19737:
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Description:
Let's consider the following simple SQL query that reference an undefined
function
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Cheng Lian updated SPARK-19737:
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Description:
Let's consider the following simple SQL query that reference an undefined
function
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Cheng Lian updated SPARK-19737:
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Description:
Let's consider the following simple SQL query that reference an invalid
function
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Cheng Lian updated SPARK-19737:
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Description:
Let's consider the following simple SQL query that reference an invalid
function
Cheng Lian created SPARK-19737:
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Summary: New analysis rule for reporting unregistered functions
without relying on relation resolution
Key: SPARK-19737
URL: https://issues.apache.org/jira/browse/SPARK-19737
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Cheng Lian updated PARQUET-893:
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Description:
The following Spark snippet reproduces this issue with Spark 2.1 (with
parquet-mr
Cheng Lian created PARQUET-893:
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Summary: GroupColumnIO.getFirst() doesn't check for empty groups
Key: PARQUET-893
URL: https://issues.apache.org/jira/browse/PARQUET-893
Project: Parquet
Issue
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https://issues.apache.org/jira/browse/SPARK-19529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-19529:
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Target Version/s: 1.6.3, 2.0.3, 2.1.1, 2.2.0 (was: 2.0.3, 2.1.1, 2.2.0)
>
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Cheng Lian updated SPARK-19529:
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Target Version/s: 2.0.3, 2.1.1, 2.2.0 (was: 2.0.3, 2.1.1)
> TransportClientFactory.createClient()
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Cheng Lian updated SPARK-18717:
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Fix Version/s: 2.1.1
> Datasets - crash (compile exception) when mapping to immutable scala map
>
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Cheng Lian updated SPARK-18717:
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Affects Version/s: 2.1.0
> Datasets - crash (compile exception) when mapping to immutable scala map
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https://issues.apache.org/jira/browse/SPARK-17714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15856638#comment-15856638
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Cheng Lian commented on SPARK-17714:
Although I've no idea why this error occurs, it seems that
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Cheng Lian resolved SPARK-18539.
Resolution: Fixed
Assignee: Dongjoon Hyun
Target Version/s: 2.2.0
> Cannot
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Cheng Lian commented on SPARK-18539:
SPARK-19409 upgrades parquet-mr to 1.8.2 and fixed this issue.
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Cheng Lian commented on SPARK-18539:
[~viirya], sorry for the (super) late reply. What I mentioned
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https://issues.apache.org/jira/browse/HIVE-11611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15813452#comment-15813452
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Cheng Lian commented on HIVE-11611:
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While trying to fix a similar issue without upgrading Parquet in
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https://issues.apache.org/jira/browse/SPARK-19016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-19016.
Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
Cheng Lian created SPARK-19016:
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Summary: Document scalable partition handling feature in the
programming guide
Key: SPARK-19016
URL: https://issues.apache.org/jira/browse/SPARK-19016
Project: Spark
Cheng Lian created SPARK-18956:
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Summary: Python API should reuse existing SparkSession while
creating new SQLContext instances
Key: SPARK-18956
URL: https://issues.apache.org/jira/browse/SPARK-18956
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https://issues.apache.org/jira/browse/SPARK-18950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-18950:
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Labels: starter (was: )
> Report conflicting fields when merging two StructTypes.
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Cheng Lian created SPARK-18950:
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Summary: Report conflicting fields when merging two StructTypes.
Key: SPARK-18950
URL: https://issues.apache.org/jira/browse/SPARK-18950
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-18753:
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Fix Version/s: 2.2.0
> Inconsistent behavior after writing to parquet files
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https://issues.apache.org/jira/browse/SPARK-18753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-18753:
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Assignee: Hyukjin Kwon
> Inconsistent behavior after writing to parquet files
>
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https://issues.apache.org/jira/browse/SPARK-18753?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-18753.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 16184
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https://issues.apache.org/jira/browse/SPARK-18712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15724381#comment-15724381
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Cheng Lian edited comment on SPARK-18712 at 12/6/16 5:10 AM:
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I think the
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https://issues.apache.org/jira/browse/SPARK-18712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15724381#comment-15724381
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Cheng Lian commented on SPARK-18712:
I think the contract here is that for a DataFrame {{df}} and 1
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https://issues.apache.org/jira/browse/SPARK-18539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15724013#comment-15724013
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Cheng Lian commented on SPARK-18539:
[~xwu0226], thanks for the new use case!
[~viirya], I do think
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https://issues.apache.org/jira/browse/SPARK-18730?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-18730:
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Priority: Minor (was: Major)
> Ask the build script to link to Jenkins test report page instead of
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