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Liang-Chi Hsieh updated SPARK-15444:
Description: There is a default value mismatch of param linkPredictionCol
for
Liang-Chi Hsieh created SPARK-15444:
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Summary: Default value mismatch of param linkPredictionCol for
GeneralizedLinearRegression
Key: SPARK-15444
URL: https://issues.apache.org/jira/browse/SPARK-15444
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Liang-Chi Hsieh updated SPARK-15444:
Priority: Blocker (was: Major)
> Default value mismatch of param linkPredictionCol for
Liang-Chi Hsieh created SPARK-15342:
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Summary: PySpark test for non ascii column name does not actually
test with unicode column name
Key: SPARK-15342
URL: https://issues.apache.org/jira/browse/SPARK-15342
Liang-Chi Hsieh created SPARK-15268:
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Summary: Make JavaTypeInference work with UDTRegistration
Key: SPARK-15268
URL: https://issues.apache.org/jira/browse/SPARK-15268
Project: Spark
Issue
Liang-Chi Hsieh created SPARK-15180:
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Summary: Support subexpression elimination in Fliter
Key: SPARK-15180
URL: https://issues.apache.org/jira/browse/SPARK-15180
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-14906?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15267704#comment-15267704
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Liang-Chi Hsieh commented on SPARK-14906:
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ok. I will do it soon.
> Move VectorUDT and MatrixUDT
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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-15211:
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Summary: Select features column from LibSVMRelation causes failure
Key: SPARK-15211
URL: https://issues.apache.org/jira/browse/SPARK-15211
Project: Spark
Liang-Chi Hsieh created SPARK-15225:
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Summary: Replace SQLContext with SparkSession in Encoder
documentation
Key: SPARK-15225
URL: https://issues.apache.org/jira/browse/SPARK-15225
Project: Spark
Liang-Chi Hsieh created SPARK-15240:
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Summary: Use buffer variables for update/merge expressions instead
duplicate serialization/deserialization
Key: SPARK-15240
URL:
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Liang-Chi Hsieh updated SPARK-15240:
Summary: Use buffer variables to improve buffer
serialization/deserialization in
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https://issues.apache.org/jira/browse/SPARK-16628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15393436#comment-15393436
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Liang-Chi Hsieh commented on SPARK-16628:
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I submitted another PR to implement the option 2
Liang-Chi Hsieh created SPARK-16767:
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Summary: existsRecursively method in UserDefinedType is not correct
Key: SPARK-16767
URL: https://issues.apache.org/jira/browse/SPARK-16767
Project: Spark
Liang-Chi Hsieh created SPARK-17056:
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Summary: Fix a wrong assert in MemoryStore
Key: SPARK-17056
URL: https://issues.apache.org/jira/browse/SPARK-17056
Project: Spark
Issue Type: Bug
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Liang-Chi Hsieh updated SPARK-16622:
Summary: Fix NullPointerException when the returned value of the called
method in Invoke
Liang-Chi Hsieh created SPARK-16622:
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Summary: Throws NullPointerException when the returned value of
the called method in Invoke is null
Key: SPARK-16622
URL: https://issues.apache.org/jira/browse/SPARK-16622
Liang-Chi Hsieh created SPARK-16640:
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Summary: Add codegen for Elt function
Key: SPARK-16640
URL: https://issues.apache.org/jira/browse/SPARK-16640
Project: Spark
Issue Type: Improvement
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Liang-Chi Hsieh commented on SPARK-16628:
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I've tried to address this issue by the PR with the
Liang-Chi Hsieh created SPARK-16849:
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Summary: Improve subquery execution by deduplicating the
subqueries with the same results
Key: SPARK-16849
URL: https://issues.apache.org/jira/browse/SPARK-16849
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Liang-Chi Hsieh commented on SPARK-16628:
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I think it depends whether Hive also writes wrong
Liang-Chi Hsieh created SPARK-16362:
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Summary: Suport ArrayType and StructType in vectorization Parquet
reader
Key: SPARK-16362
URL: https://issues.apache.org/jira/browse/SPARK-16362
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-17107?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17107:
Summary: Remove redundant pushdown rule for Union (was: Remove redundant
pushdown rule
Liang-Chi Hsieh created SPARK-17107:
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Summary: Remove redundant pushdown rule for set
Key: SPARK-17107
URL: https://issues.apache.org/jira/browse/SPARK-17107
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-17104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17104:
Description: Currently LogicalRelation.newInstance() simply creates another
Liang-Chi Hsieh created SPARK-19433:
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Summary: ML Pipeline with long stages takes long time to finish
Key: SPARK-19433
URL: https://issues.apache.org/jira/browse/SPARK-19433
Project: Spark
Liang-Chi Hsieh created SPARK-19443:
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Summary: The function to generate constraints takes too long when
the query plan grows continuously
Key: SPARK-19443
URL: https://issues.apache.org/jira/browse/SPARK-19443
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Liang-Chi Hsieh updated SPARK-19443:
Description:
This issue is originally reported and discussed at
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Liang-Chi Hsieh updated SPARK-19433:
Description:
This issue is originally reported and discussed at
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Liang-Chi Hsieh updated SPARK-19425:
Description:
DataFrame.except doesn't work for UDT columns. It is because
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Liang-Chi Hsieh updated SPARK-19425:
Description:
DataFrame.except doesn't work for UDT columns. It is because
Title: Message Title
Liang-Chi Hsieh created an issue
Liang-Chi Hsieh created SPARK-19425:
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Summary: Make df.except work for UDT
Key: SPARK-19425
URL: https://issues.apache.org/jira/browse/SPARK-19425
Project: Spark
Issue Type: Bug
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Liang-Chi Hsieh commented on SPARK-19425:
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I remember affects version can be None before. But
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Liang-Chi Hsieh closed SPARK-18824.
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Resolution: Won't Fix
> Add optimizer rule to reorder expensive Filter predicates like
Liang-Chi Hsieh created SPARK-19508:
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Summary: Improve error message when binding service fails
Key: SPARK-19508
URL: https://issues.apache.org/jira/browse/SPARK-19508
Project: Spark
Issue
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Liang-Chi Hsieh updated SPARK-19508:
Description:
Utils provides a helper function to bind service on port. This function can
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Liang-Chi Hsieh updated SPARK-19425:
Summary: Make ExtractEquiJoinKeys support UDT columns (was: Make df.except
work for UDT)
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Liang-Chi Hsieh closed SPARK-15180.
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Resolution: Won't Fix
> Support subexpression elimination in Fliter
>
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Liang-Chi Hsieh commented on SPARK-15180:
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[~hyukjin.kwon] Yes. I resolved this. Thanks!
>
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Liang-Chi Hsieh commented on SPARK-15911:
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[~hyukjin.kwon] Thanks!
> Remove additional Project
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Liang-Chi Hsieh commented on SPARK-18539:
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[~lian cheng] Yea, I see. The term {{optional}} is
Title: Message Title
Liang-Chi Hsieh commented on SPARK-6307
Liang-Chi Hsieh created SPARK-19355:
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Summary: Use map output statistices to improve global limit's
parallelism
Key: SPARK-19355
URL: https://issues.apache.org/jira/browse/SPARK-19355
Project:
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https://issues.apache.org/jira/browse/SPARK-19653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15872938#comment-15872938
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Liang-Chi Hsieh commented on SPARK-19653:
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Actually some Spark SQL functions like the mentioned
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Liang-Chi Hsieh edited comment on SPARK-19653 at 2/18/17 3:12 AM:
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Liang-Chi Hsieh commented on SPARK-19217:
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The native casting of UserDefinedType from/to other
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https://issues.apache.org/jira/browse/SPARK-15678?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15884061#comment-15884061
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Liang-Chi Hsieh commented on SPARK-15678:
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[~kiszk][~gen] I created SPARK-19736 for the reported
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https://issues.apache.org/jira/browse/SPARK-19352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15884016#comment-15884016
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Liang-Chi Hsieh commented on SPARK-19352:
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I think this is in fact solved by SPARK-19563.
Liang-Chi Hsieh created SPARK-19736:
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Summary: refreshByPath should clear all cached plans with the
specified path
Key: SPARK-19736
URL: https://issues.apache.org/jira/browse/SPARK-19736
Project:
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https://issues.apache.org/jira/browse/SPARK-19530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-19530.
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Resolution: Won't Fix
> Use guava weigher for code cache eviction
>
Liang-Chi Hsieh created SPARK-19665:
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Summary: Improve constraint propagation
Key: SPARK-19665
URL: https://issues.apache.org/jira/browse/SPARK-19665
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-19493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15859166#comment-15859166
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Liang-Chi Hsieh commented on SPARK-19493:
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+1
> Remove Java 7 support
> -
>
Liang-Chi Hsieh created SPARK-19530:
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Summary: Use guava weigher for code cache eviction
Key: SPARK-19530
URL: https://issues.apache.org/jira/browse/SPARK-19530
Project: Spark
Issue Type:
Liang-Chi Hsieh created SPARK-19244:
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Summary: Sort MemoryConsumers according to their memory usage when
spilling
Key: SPARK-19244
URL: https://issues.apache.org/jira/browse/SPARK-19244
Project:
Liang-Chi Hsieh created SPARK-19274:
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Summary: Make GlobalLimit without shuffling data to single
partition
Key: SPARK-19274
URL: https://issues.apache.org/jira/browse/SPARK-19274
Project: Spark
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Liang-Chi Hsieh edited comment on SPARK-19311 at 1/20/17 3:06 PM:
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Liang-Chi Hsieh commented on SPARK-19311:
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[~Gregor Moehler] I think you already have the fixing.
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Liang-Chi Hsieh closed SPARK-19274.
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Resolution: Won't Fix
> Make GlobalLimit without shuffling data to single partition
>
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Liang-Chi Hsieh commented on SPARK-19752:
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Do you have a short example code that can reproduce
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Liang-Chi Hsieh commented on SPARK-19752:
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>From the log, looks like it is a problem in Hive?
>
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Liang-Chi Hsieh updated SPARK-17357:
Summary: Simplified predicates should be able to pushdown through operators
because of the
Liang-Chi Hsieh created SPARK-17357:
---
Summary: Simplified predicates should be able to pushdown through
operators
Key: SPARK-17357
URL: https://issues.apache.org/jira/browse/SPARK-17357
Project:
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https://issues.apache.org/jira/browse/SPARK-17357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17357:
Summary: Simplified predicates can't be pushed down through operators
because of the rule
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: executor-side-broadcast.pdf
> Executor side broadcast for broadcast joins
>
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Liang-Chi Hsieh commented on SPARK-17556:
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For 1). It is true only if your driver is outside of
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Liang-Chi Hsieh edited comment on SPARK-17527 at 9/26/16 4:58 AM:
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Do
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Liang-Chi Hsieh commented on SPARK-17527:
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Do you have a small spark code snippet which can
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: (was: executor-side-broadcast.pdf)
> Executor side broadcast for broadcast
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: executor-side-broadcast.pdf
> Executor side broadcast for broadcast joins
>
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: (was: executor-side-broadcast.pdf)
> Executor side broadcast for broadcast
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: executor-side-broadcast.pdf
> Executor side broadcast for broadcast joins
>
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: (was: executor-side-broadcast.pdf)
> Executor side broadcast for broadcast
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Liang-Chi Hsieh updated SPARK-17556:
Attachment: executor-side-broadcast.pdf
> Executor side broadcast for broadcast joins
>
Liang-Chi Hsieh created SPARK-17821:
---
Summary: Expression Canonicalization should support Add and Or
Key: SPARK-17821
URL: https://issues.apache.org/jira/browse/SPARK-17821
Project: Spark
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Liang-Chi Hsieh updated SPARK-17590:
Summary: Analyze CTE definitions at once and allow CTE subquery to define
CTE (was:
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Liang-Chi Hsieh updated SPARK-17590:
Description:
We substitute logical plan with CTE definitions in the analyzer rule
Liang-Chi Hsieh created SPARK-17590:
---
Summary: Analyze CTE definitions at once
Key: SPARK-17590
URL: https://issues.apache.org/jira/browse/SPARK-17590
Project: Spark
Issue Type:
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Liang-Chi Hsieh commented on SPARK-17527:
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Of course.
> mergeSchema with `_OPTIONAL_` metadata
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Liang-Chi Hsieh commented on SPARK-17556:
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[~scwf]I already submitted a PR for this. Can you also
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Liang-Chi Hsieh commented on SPARK-17556:
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[~Fei Wang] I quickly go through your design doc.
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:49 PM:
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:48 PM:
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:45 PM:
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Liang-Chi Hsieh edited comment on SPARK-17556 at 9/23/16 1:45 PM:
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Liang-Chi Hsieh commented on SPARK-17556:
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In other words, from the jira description we say "the
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Liang-Chi Hsieh commented on SPARK-17556:
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OK. You create the broadcast object on one executor.
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Liang-Chi Hsieh commented on SPARK-17556:
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No. It doesn't.
I think the point is not only the
Liang-Chi Hsieh created SPARK-17574:
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Summary: Cache ShuffleExchange RDD when the exchange is reused
Key: SPARK-17574
URL: https://issues.apache.org/jira/browse/SPARK-17574
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-17527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15498980#comment-15498980
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Liang-Chi Hsieh commented on SPARK-17527:
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Can you provide more hints about how to reproduce
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https://issues.apache.org/jira/browse/SPARK-17574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17574:
Component/s: (was: SQL)
Spark Core
> Cache ShuffleExchange RDD when
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https://issues.apache.org/jira/browse/SPARK-17574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-17574.
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Resolution: Won't Fix
> Cache ShuffleExchange RDD when the exchange is reused
>
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https://issues.apache.org/jira/browse/SPARK-17104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17104:
Summary: LogicalRelation.newInstance should follow the semantics of
MultiInstanceRelation
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https://issues.apache.org/jira/browse/SPARK-17104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh updated SPARK-17104:
Description: Currently LogicalRelation.newInstance() simply creates another
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