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Liang-Chi Hsieh commented on SPARK-14906:
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Yes.
> Move VectorUDT and MatrixUDT in PySpark to new
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Liang-Chi Hsieh commented on SPARK-14906:
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Are you working on this? If not, I will work on this
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Liang-Chi Hsieh commented on SPARK-14906:
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This should be able to do only after SPARK-14487 is
Liang-Chi Hsieh created SPARK-14951:
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Summary: Subexpression elimination in wholestage codegen version
of TungstenAggregate
Key: SPARK-14951
URL: https://issues.apache.org/jira/browse/SPARK-14951
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Liang-Chi Hsieh updated SPARK-14906:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-13944
> Move VectorUDT and
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Liang-Chi Hsieh updated SPARK-14906:
Description: As we move VectorUDT and MatrixUDT in Scala to new ml package,
the PySpark
Liang-Chi Hsieh created SPARK-14906:
---
Summary: Move VectorUDT and MatrixUDT in PySpark to new ML package
Key: SPARK-14906
URL: https://issues.apache.org/jira/browse/SPARK-14906
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-14838:
Summary: Implement statistics in SerializeFromObject to avoid failure when
estimating
Liang-Chi Hsieh created SPARK-14838:
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Summary: Skip automatically broadcast a plan when it contains
ObjectProducer
Key: SPARK-14838
URL: https://issues.apache.org/jira/browse/SPARK-14838
Project:
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Liang-Chi Hsieh commented on SPARK-14083:
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Based on [~joshrosen]'s code, I added some comments
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Liang-Chi Hsieh closed SPARK-14432.
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Resolution: Duplicate
> Add API to calculate the approximate quantiles for multiple columns
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Liang-Chi Hsieh closed SPARK-14627.
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Resolution: Won't Fix
> Avoid shilfting encoder when delta is zero
>
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Liang-Chi Hsieh updated SPARK-14627:
Summary: Avoid shilfting encoder when delta is zero (was: In
TypedAggregateExpression
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Liang-Chi Hsieh updated SPARK-14627:
Description: We can also improve encoder's shift method to return itself
when shift delta
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Liang-Chi Hsieh reopened SPARK-14627:
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> Avoid shilfting encoder when delta is zero
> --
>
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Liang-Chi Hsieh closed SPARK-14627.
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Resolution: Won't Fix
> In TypedAggregateExpression update method we call encoder.shift many
Liang-Chi Hsieh created SPARK-14627:
---
Summary: In TypedAggregateExpression update method we call
encoder.shift many times
Key: SPARK-14627
URL: https://issues.apache.org/jira/browse/SPARK-14627
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Liang-Chi Hsieh updated SPARK-14592:
Comment: was deleted
(was: I am working on this...)
> Create table like
>
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Liang-Chi Hsieh updated SPARK-14592:
Comment: was deleted
(was: Will submit PR soon.)
> Create table like
> -
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Liang-Chi Hsieh commented on SPARK-14592:
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I am working on this...
> Create table like
>
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Liang-Chi Hsieh commented on SPARK-14592:
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Will submit PR soon.
> Create table like
>
Liang-Chi Hsieh created SPARK-14593:
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Summary: Make currentVars work with splitExpressions to enable
whole stage codegen for large input columns
Key: SPARK-14593
URL:
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https://issues.apache.org/jira/browse/SPARK-14495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-14495:
Comment: was deleted
(was: I've tried this query in my PR
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Liang-Chi Hsieh commented on SPARK-14495:
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I can' reproduce this bug with current master branch.
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Liang-Chi Hsieh commented on SPARK-14495:
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I've tried this query in my PR
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https://issues.apache.org/jira/browse/SPARK-14520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15234496#comment-15234496
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Liang-Chi Hsieh edited comment on SPARK-14520 at 4/11/16 5:09 AM:
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Hi
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Liang-Chi Hsieh commented on SPARK-14520:
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Hi [~Rajesh Balamohan], I submitted a PR for this
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https://issues.apache.org/jira/browse/SPARK-14253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15234492#comment-15234492
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Liang-Chi Hsieh commented on SPARK-14253:
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This can be closed now.
> Avoid registering temporary
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https://issues.apache.org/jira/browse/SPARK-9882?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-9882.
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Resolution: Won't Fix
> Priority-based scheduling for Spark applications
>
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Liang-Chi Hsieh edited comment on SPARK-9882 at 4/10/16 9:54 AM:
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This PR
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Liang-Chi Hsieh commented on SPARK-9882:
This PR stays for a while. As the PR doesn't get the
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Liang-Chi Hsieh commented on SPARK-9882:
I've updated the description. Thanks!
> Priority-based
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Liang-Chi Hsieh updated SPARK-9882:
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Description:
We implement this patch because in our daily usage of Spark we found that
Liang-Chi Hsieh created SPARK-14487:
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Summary: User Defined Type registration without SQLUserDefinedType
annotation
Key: SPARK-14487
URL: https://issues.apache.org/jira/browse/SPARK-14487
Project:
Liang-Chi Hsieh created SPARK-14427:
---
Summary: Support persisting partitioned data source relations in
Hive compatible format
Key: SPARK-14427
URL: https://issues.apache.org/jira/browse/SPARK-14427
Liang-Chi Hsieh created SPARK-14354:
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Summary: Let Expand take name expressions and infer output
attributes
Key: SPARK-14354
URL: https://issues.apache.org/jira/browse/SPARK-14354
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14083?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15222648#comment-15222648
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Liang-Chi Hsieh commented on SPARK-14083:
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I think this optimization now just consider the
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https://issues.apache.org/jira/browse/SPARK-13321?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-13321:
Description:
The following SQL can not be parsed with current parser:
{code}
SELECT
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Liang-Chi Hsieh updated SPARK-13321:
Issue Type: Test (was: Bug)
> Add nested union test cases
> ---
>
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Liang-Chi Hsieh updated SPARK-13321:
Summary: Add nested union test cases (was: Support nested UNION in parser)
> Add nested
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Liang-Chi Hsieh updated SPARK-13321:
Priority: Minor (was: Major)
> Add nested union test cases
> ---
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https://issues.apache.org/jira/browse/SPARK-14129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15221224#comment-15221224
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Liang-Chi Hsieh commented on SPARK-14129:
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TOK_ALTERTABLE_CLUSTER_SORT is also listed in
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Liang-Chi Hsieh commented on SPARK-14083:
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Very interested in this work too. I would like to
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https://issues.apache.org/jira/browse/SPARK-14253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15217047#comment-15217047
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Liang-Chi Hsieh commented on SPARK-14253:
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In fact, current HiveFunctionRegistry doesn't handle
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Liang-Chi Hsieh commented on SPARK-14253:
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I already add this support in
Liang-Chi Hsieh created SPARK-14191:
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Summary: Fix Expand operator constraints
Key: SPARK-14191
URL: https://issues.apache.org/jira/browse/SPARK-14191
Project: Spark
Issue Type: Bug
Liang-Chi Hsieh created SPARK-14157:
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Summary: Parse Drop Function DDL command
Key: SPARK-14157
URL: https://issues.apache.org/jira/browse/SPARK-14157
Project: Spark
Issue Type:
Liang-Chi Hsieh created SPARK-14156:
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Summary: Use executedPlan for HiveComparisonTest
Key: SPARK-14156
URL: https://issues.apache.org/jira/browse/SPARK-14156
Project: Spark
Issue Type:
Liang-Chi Hsieh created SPARK-14111:
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Summary: Correct output nullability with constraints for logical
plans
Key: SPARK-14111
URL: https://issues.apache.org/jira/browse/SPARK-14111
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-13903.
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Resolution: Won't Fix
> Modify output nullability with constraints for Join and Filter
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Liang-Chi Hsieh updated SPARK-13995:
Description:
We infer relative `IsNotNull` constraints from logical plan's expressions in
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https://issues.apache.org/jira/browse/SPARK-13995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-13995:
Summary: Extract correct IsNotNull constraints for Expression (was:
Constraints should
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https://issues.apache.org/jira/browse/SPARK-13943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15204219#comment-15204219
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Liang-Chi Hsieh commented on SPARK-13943:
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Yes, I think so.
> The behavior of sum(booleantype)
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Liang-Chi Hsieh commented on SPARK-13943:
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Currently we seems don't support implicit type
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Liang-Chi Hsieh closed SPARK-13839.
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Resolution: Won't Fix
> Defer input evaluation and fix Cast issue in IsNotNull filtering for
Liang-Chi Hsieh created SPARK-13995:
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Summary: Constraints should take care of Cast
Key: SPARK-13995
URL: https://issues.apache.org/jira/browse/SPARK-13995
Project: Spark
Issue Type: Bug
Liang-Chi Hsieh created SPARK-13996:
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Summary: Add more not null attributes for Filter codegen
Key: SPARK-13996
URL: https://issues.apache.org/jira/browse/SPARK-13996
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-13908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15202604#comment-15202604
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Liang-Chi Hsieh edited comment on SPARK-13908 at 3/19/16 7:32 AM:
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Liang-Chi Hsieh commented on SPARK-13908:
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Rethink this issue, I think it should not related to
Liang-Chi Hsieh created SPARK-13930:
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Summary: Apply fast serialization on collect limit
Key: SPARK-13930
URL: https://issues.apache.org/jira/browse/SPARK-13930
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-13903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-13903:
Summary: Modify output nullability with constraints for Join and Filter
operators (was:
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Liang-Chi Hsieh updated SPARK-13903:
Description:
With constraints and optimization, we can make sure some outputs of a Join
Liang-Chi Hsieh created SPARK-13903:
---
Summary: Modify output nullability with constraints for Join
operator
Key: SPARK-13903
URL: https://issues.apache.org/jira/browse/SPARK-13903
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-13854.
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Resolution: Not A Problem
> Add constraints to outer join
> -
>
Liang-Chi Hsieh created SPARK-13854:
---
Summary: Add constraints to outer join
Key: SPARK-13854
URL: https://issues.apache.org/jira/browse/SPARK-13854
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-13249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15192723#comment-15192723
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Liang-Chi Hsieh commented on SPARK-13249:
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I think this can be closed?
> Filter null keys for
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Liang-Chi Hsieh closed SPARK-13847.
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Resolution: Not A Problem
> Defer the variable evaluation for Limit codegen
>
Liang-Chi Hsieh created SPARK-13847:
---
Summary: Defer the variable evaluation for Limit codegen
Key: SPARK-13847
URL: https://issues.apache.org/jira/browse/SPARK-13847
Project: Spark
Issue
Liang-Chi Hsieh created SPARK-13839:
---
Summary: Defer input evaluation and fix Cast issue in IsNotNull
filtering for Filter codegen
Key: SPARK-13839
URL: https://issues.apache.org/jira/browse/SPARK-13839
Liang-Chi Hsieh created SPARK-13838:
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Summary: Clear variable code to prevent it to be re-evaluated in
BoundAttribute
Key: SPARK-13838
URL: https://issues.apache.org/jira/browse/SPARK-13838
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Liang-Chi Hsieh resolved SPARK-13771.
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Resolution: Won't Fix
> Eliminate child of project if the project with no references to
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https://issues.apache.org/jira/browse/SPARK-12117?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15188593#comment-15188593
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Liang-Chi Hsieh commented on SPARK-12117:
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As I revisit this PR and find that this bug is already
Liang-Chi Hsieh created SPARK-13771:
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Summary: Eliminate child of project if the project with no
references to its child
Key: SPARK-13771
URL: https://issues.apache.org/jira/browse/SPARK-13771
Liang-Chi Hsieh created SPARK-13742:
---
Summary: Add non-iterator interface to RandomSampler
Key: SPARK-13742
URL: https://issues.apache.org/jira/browse/SPARK-13742
Project: Spark
Issue
Liang-Chi Hsieh created SPARK-13717:
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Summary: Let RandomSampler can sample with Java iterator
Key: SPARK-13717
URL: https://issues.apache.org/jira/browse/SPARK-13717
Project: Spark
Issue
Liang-Chi Hsieh created SPARK-13674:
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Summary: Add wholestage codegen support to Sample
Key: SPARK-13674
URL: https://issues.apache.org/jira/browse/SPARK-13674
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-13635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15177445#comment-15177445
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Liang-Chi Hsieh commented on SPARK-13635:
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[~davies] Can you help update the Assignee field?
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https://issues.apache.org/jira/browse/SPARK-13589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15177437#comment-15177437
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Liang-Chi Hsieh commented on SPARK-13589:
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[~lian cheng] I think this is already solved in
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https://issues.apache.org/jira/browse/SPARK-13612?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15177428#comment-15177428
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Liang-Chi Hsieh edited comment on SPARK-13612 at 3/3/16 7:35 AM:
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Because
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Liang-Chi Hsieh commented on SPARK-13612:
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Because the internal type for BigDecimal would be
Liang-Chi Hsieh created SPARK-13636:
---
Summary: Direct consume UnsafeRow in wholestage codegen plans
Key: SPARK-13636
URL: https://issues.apache.org/jira/browse/SPARK-13636
Project: Spark
Liang-Chi Hsieh created SPARK-13635:
---
Summary: Enable LimitPushdown optimizer rule because we have
whole-stage codegen for Limit
Key: SPARK-13635
URL: https://issues.apache.org/jira/browse/SPARK-13635
Liang-Chi Hsieh created SPARK-13616:
---
Summary: Let SQLBuilder convert logical plan without a Project on
top of it
Key: SPARK-13616
URL: https://issues.apache.org/jira/browse/SPARK-13616
Project:
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https://issues.apache.org/jira/browse/SPARK-13511?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15174919#comment-15174919
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Liang-Chi Hsieh commented on SPARK-13511:
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[~davies] Can you help update the Assignee field?
Liang-Chi Hsieh created SPARK-13537:
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Summary: Fix readBytes in VectorizedPlainValuesReader
Key: SPARK-13537
URL: https://issues.apache.org/jira/browse/SPARK-13537
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-13530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-13530:
Description: By enabling vectorized parquet scanner by default, the unit
test
Liang-Chi Hsieh created SPARK-13530:
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Summary: Add ShortType support to UnsafeRowParquetRecordReader
Key: SPARK-13530
URL: https://issues.apache.org/jira/browse/SPARK-13530
Project: Spark
Liang-Chi Hsieh created SPARK-13511:
---
Summary: Add wholestage codegen for limit
Key: SPARK-13511
URL: https://issues.apache.org/jira/browse/SPARK-13511
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-13383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15166611#comment-15166611
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Liang-Chi Hsieh commented on SPARK-13383:
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[~marmbrus] Can you help set the Assignee field?
Liang-Chi Hsieh created SPARK-13472:
---
Summary: Fix unstable Kmeans test in R
Key: SPARK-13472
URL: https://issues.apache.org/jira/browse/SPARK-13472
Project: Spark
Issue Type: Bug
Liang-Chi Hsieh created SPARK-13466:
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Summary: Don't introduce redundant project with colum pruning rule
Key: SPARK-13466
URL: https://issues.apache.org/jira/browse/SPARK-13466
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-13358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15160145#comment-15160145
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Liang-Chi Hsieh commented on SPARK-13358:
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[~davies] Can you help update the Assignee field?
Liang-Chi Hsieh created SPARK-13464:
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Summary: Fix failed test
test_reduce_by_key_and_window_with_none_invFunc in pyspark/streaming
Key: SPARK-13464
URL: https://issues.apache.org/jira/browse/SPARK-13464
Liang-Chi Hsieh created SPARK-13384:
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Summary: Keep attribute qualifiers after dedup in Analyzer
Key: SPARK-13384
URL: https://issues.apache.org/jira/browse/SPARK-13384
Project: Spark
Liang-Chi Hsieh created SPARK-13383:
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Summary: Keep broadcast hint after column pruning
Key: SPARK-13383
URL: https://issues.apache.org/jira/browse/SPARK-13383
Project: Spark
Issue Type:
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Liang-Chi Hsieh edited comment on SPARK-1 at 2/18/16 4:13 AM:
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The
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Liang-Chi Hsieh commented on SPARK-1:
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Yes. I agree that when user provides a specific seed
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Liang-Chi Hsieh edited comment on SPARK-1 at 2/17/16 8:07 AM:
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Isn't
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Liang-Chi Hsieh commented on SPARK-1:
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Isn't weird? Suppose each partition should have
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Liang-Chi Hsieh commented on SPARK-1:
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But when you set deterministic to true, your each data
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