Fei Wang created SPARK-46091:
Summary: [KUBERNETES] Respect the existing kubernetes container
SPARK_LOCAL_DIRS env
Key: SPARK-46091
URL: https://issues.apache.org/jira/browse/SPARK-46091
Project: Spark
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Fei Wang updated SPARK-43540:
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Summary: Add working directory into classpath on the driver in K8S cluster
mode (was: Add current
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Fei Wang updated SPARK-43540:
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Description:
In Yarn cluster modes, the passed files/jars are able to be accessed in the
classloader.
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Fei Wang updated SPARK-43540:
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Description:
In Yarn cluster modes, the passed files/jars are able to be accessed in the
classloader.
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Fei Wang updated SPARK-43540:
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Description:
In Yarn cluster modes, the passed files/jars are able to be accessed in the
classloader.
Fei Wang created SPARK-43540:
Summary: Add current working directory into classpath on the
driver in K8S cluster mode
Key: SPARK-43540
URL: https://issues.apache.org/jira/browse/SPARK-43540
Project:
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https://issues.apache.org/jira/browse/SPARK-43504?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fei Wang updated SPARK-43504:
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Summary: [K8S] Mounts the hadoop config map on the executor pod (was:
[K8S] Mount hadoop config map in
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Fei Wang updated SPARK-43504:
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Description:
Since SPARK-25815 [,|https://github.com/apache/spark/pull/22911,] the hadoop
config map
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Fei Wang updated SPARK-43504:
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Description:
Since SPARK-25815 [,|https://github.com/apache/spark/pull/22911,] the hadoop
config map
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Fei Wang updated SPARK-43504:
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Description:
Since SPARK-25815 [,|https://github.com/apache/spark/pull/22911,] the hadoop
config map
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Fei Wang commented on SPARK-43504:
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gentle ping [~vanzin] [~dongjoon] [~ifilonenko]
> [K8S] Mount
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Fei Wang updated SPARK-43504:
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Description:
Since SPARK-25815 [,|https://github.com/apache/spark/pull/22911,] the hadoop
config map
Fei Wang created SPARK-43504:
Summary: [K8S] Mount hadoop config map in executor side
Key: SPARK-43504
URL: https://issues.apache.org/jira/browse/SPARK-43504
Project: Spark
Issue Type:
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Fei Wang updated SPARK-43419:
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Description:
make limit.cores be able to be fallen back to request.cores
now without limit.cores, we
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Fei Wang updated SPARK-43419:
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Description:
make limit.cores be able to be fallen back to request.cores
now without limit.cores, we
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Fei Wang updated SPARK-43419:
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Description:
make limit.cores be able to be fallen back to request.cores
now without limit.cores, we
Fei Wang created SPARK-43419:
Summary: [K8S] Make limit.cores be able to be fallen back to
request.cores
Key: SPARK-43419
URL: https://issues.apache.org/jira/browse/SPARK-43419
Project: Spark
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Fei Wang commented on SPARK-20184:
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Also use the master branch to test my test case:
1. Java version
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Fei Wang edited comment on SPARK-20184 at 4/12/17 9:21 AM:
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try this :
1.
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Fei Wang edited comment on SPARK-20184 at 4/12/17 9:21 AM:
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try this :
1.
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Fei Wang commented on SPARK-20184:
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try this :
1. create table
[code]
val df = (1 to 50).map(x =>
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Fei Wang commented on SPARK-20184:
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Tested with a smaller table 100,000 rows.
Codegen on: 2.6s
Codegen
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Fei Wang updated SPARK-20184:
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Summary: performance regression for complex/long sql when enable whole
stage codegen (was: performance
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang updated SPARK-20184:
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Description:
The performance of following SQL get much worse in spark 2.x in contrast with
codegen
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Fei Wang commented on SPARK-20184:
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[~r...@databricks.com] [~davies] May be we need split the huge
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Fei Wang updated SPARK-20184:
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Description:
Execute following sql with spark 2.x when codegen enabled, the performance is
much worse
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Fei Wang updated SPARK-20184:
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Description:
Execute flowing sql with spark 2.x when codegen enabled, the performance is
much worse
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Fei Wang updated SPARK-20184:
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Description:
Execute flowing sql with spark 2.x when codegen enabled, the performance is
much worse
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Fei Wang updated SPARK-20184:
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Summary: performance regression for complex/long sql when enable codegen
(was: performance regression
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Fei Wang updated SPARK-20184:
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Description:
Execute flowing sql with spark 2.x when codegen enabled, the performance is
much worse
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Fei Wang updated SPARK-20184:
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Description:
Execute flowing sql with spark 2.x when codegen enabled, the performance is
much worse
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Fei Wang updated SPARK-20184:
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Description:
Execute flowing sql with spark 2.x when codegen enabled, the performance is
much worse
Fei Wang created SPARK-20184:
Summary: performance regression for complex sql when enable codegen
Key: SPARK-20184
URL: https://issues.apache.org/jira/browse/SPARK-20184
Project: Spark
Issue
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Fei Wang updated SPARK-17556:
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Attachment: (was: executor broadcast.pdf)
> Executor side broadcast for broadcast joins
>
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Fei Wang updated SPARK-17556:
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Attachment: executor broadcast.pdf
> Executor side broadcast for broadcast joins
>
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Fei Wang updated SPARK-17556:
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Attachment: executor broadcast.pdf
update design doc
> Executor side broadcast for broadcast joins
>
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Fei Wang updated SPARK-17556:
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Attachment: (was: executor broadcast.pdf)
> Executor side broadcast for broadcast joins
>
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Fei Wang commented on SPARK-17556:
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[~viirya] in this case how about notify driver to re-persist the
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Fei Wang commented on SPARK-17556:
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That's a good point!
In your solution, the broadcast rdd must
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Fei Wang edited comment on SPARK-17556 at 9/23/16 2:50 PM:
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Yes, the main
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Fei Wang commented on SPARK-17556:
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Yes, the main different is is does not introduce overhead to driver,
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Fei Wang updated SPARK-17556:
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Comment: was deleted
(was: Not correct, I just collect the broadcast ref to the driver but not the
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Fei Wang commented on SPARK-17556:
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Not correct, I just collect the broadcast ref to the driver but not
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Fei Wang commented on SPARK-17556:
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Not correct, I just collect the broadcast ref to the driver but not
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Fei Wang edited comment on SPARK-17556 at 9/23/16 1:15 PM:
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[~rxin] attached a
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Fei Wang edited comment on SPARK-17556 at 9/23/16 1:05 PM:
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[~rxin] attached a
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Fei Wang commented on SPARK-17556:
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[~rxin] attached a design doc for the executor based broadcast. Will
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Fei Wang updated SPARK-17556:
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Attachment: executor broadcast.pdf
> Executor side broadcast for broadcast joins
>
Fei Wang created SPARK-17644:
Summary: The failed stage never resubmitted due to abort stage in
another thread
Key: SPARK-17644
URL: https://issues.apache.org/jira/browse/SPARK-17644
Project: Spark
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Fei Wang updated SPARK-12742:
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Summary: org.apache.spark.sql.hive.LogicalPlanToSQLSuite failure due to
(was:
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Fei Wang updated SPARK-12742:
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Due Date: 11/Jan/16
Component/s: SQL
> org.apache.spark.sql.hive.LogicalPlanToSQLSuite failure
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Fei Wang updated SPARK-12742:
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Summary: org.apache.spark.sql.hive.LogicalPlanToSQLSuite failure due to
Table already exists (was:
Fei Wang created SPARK-12742:
Summary: org.apache.spark.sql.hive.LogicalPlanToSQLSuite failuer
Key: SPARK-12742
URL: https://issues.apache.org/jira/browse/SPARK-12742
Project: Spark
Issue Type:
Fei Wang created SPARK-1:
Summary: deserialize RoaringBitmap using Kryo serializer throw
Buffer underflow exception
Key: SPARK-1
URL: https://issues.apache.org/jira/browse/SPARK-1
Project:
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https://issues.apache.org/jira/browse/SPARK-4131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14735995#comment-14735995
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Fei Wang commented on SPARK-4131:
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can you try the example of my test suite to see if it works?
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Fei Wang commented on SPARK-10030:
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[~hyukjin.kwon] this is defenitly a spark sql bug,
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Fei Wang commented on SPARK-10030:
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[~liancheng] can you have a look on this issue?
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Fei Wang commented on SPARK-9725:
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good job :)
spark sql query string field return
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Fei Wang commented on SPARK-9725:
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in some cases(the long table name) of ours it also show
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Fei Wang commented on SPARK-9725:
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we test on suse and redhat, both has this issue.
Now we
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Fei Wang commented on SPARK-9725:
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[~davies] please see the comment of peizhongshuai
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Fei Wang commented on SPARK-8890:
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should this be part of tungsten?
Reduce memory
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Fei Wang commented on SPARK-9725:
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And i not set SPARK_PREPEND_CLASSES
spark sql query
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Fei Wang commented on SPARK-9725:
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how much memory you set to executor?
spark sql query
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Fei Wang edited comment on SPARK-9725 at 8/7/15 6:21 AM:
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i try
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Fei Wang edited comment on SPARK-9725 at 8/7/15 6:21 AM:
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i try
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Fei Wang commented on SPARK-9725:
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i try the master again and reproduce this issue:
Fei Wang created SPARK-9725:
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Summary: spark sql query string field return empty/garbled string
Key: SPARK-9725
URL: https://issues.apache.org/jira/browse/SPARK-9725
Project: Spark
Issue Type: Bug
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Fei Wang updated SPARK-8968:
Summary: dynamic partitioning in spark sql performance issue due to the
high GC overhead (was: shuffled by
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Fei Wang commented on SPARK-8968:
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changed, how about this?
dynamic partitioning in
Fei Wang created SPARK-8968:
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Summary: shuffled by the partition clomns when dynamic
partitioning to optimize the memory overhead
Key: SPARK-8968
URL: https://issues.apache.org/jira/browse/SPARK-8968
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Fei Wang commented on SPARK-7173:
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is this resolved by spark-6470?
Support YARN node
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Fei Wang closed SPARK-7866.
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Resolution: Won't Fix
Wrong print in intelli idea, this is really ok, not a problem.
print the format
Fei Wang created SPARK-7866:
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Summary: print the format string in dataframe explain
Key: SPARK-7866
URL: https://issues.apache.org/jira/browse/SPARK-7866
Project: Spark
Issue Type: Improvement
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Fei Wang commented on SPARK-7866:
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Get it, thanks Owen.
print the format string in
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Fei Wang resolved SPARK-3323.
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Resolution: Fixed
yarn website's Tracking UI links to the Standby RM
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Fei Wang closed SPARK-6997.
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Resolution: Won't Fix
Convert StringType in LocalTableScan
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Fei Wang commented on SPARK-6997:
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this is not nessarry since we have convert the data
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Fei Wang closed SPARK-7289.
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Resolution: Won't Fix
use usually not write sql like this
Combine Limit and Sort to avoid total ordering
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Fei Wang closed SPARK-5240.
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Resolution: Won't Fix
Adding `createDataSourceTable` interface to Catalog
Fei Wang created SPARK-7656:
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Summary: use CatalystConf in FunctionRegistry
Key: SPARK-7656
URL: https://issues.apache.org/jira/browse/SPARK-7656
Project: Spark
Issue Type: Improvement
Fei Wang created SPARK-7631:
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Summary: treenode argString should not print children
Key: SPARK-7631
URL: https://issues.apache.org/jira/browse/SPARK-7631
Project: Spark
Issue Type: Bug
Fei Wang created SPARK-7659:
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Summary: Sort by attributes that are not present in the SELECT
clause when there is windowfunction analysis error
Key: SPARK-7659
URL: https://issues.apache.org/jira/browse/SPARK-7659
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https://issues.apache.org/jira/browse/SPARK-6929?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14536627#comment-14536627
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Fei Wang commented on SPARK-6929:
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SPARK SQL use c_0 as inner alias name, i think you can
Fei Wang created SPARK-7303:
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Summary: push down project if possible when the child is sort
Key: SPARK-7303
URL: https://issues.apache.org/jira/browse/SPARK-7303
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-7289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Fei Wang updated SPARK-7289:
Description:
Optimize following sql
select key from (select * from testData order by key) t limit 5
from
Fei Wang created SPARK-7289:
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Summary: push down sort when it's child is Limit
Key: SPARK-7289
URL: https://issues.apache.org/jira/browse/SPARK-7289
Project: Spark
Issue Type: Improvement
Fei Wang created SPARK-7232:
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Summary: Add a Substitution batch for spark sql analyzer
Key: SPARK-7232
URL: https://issues.apache.org/jira/browse/SPARK-7232
Project: Spark
Issue Type: Improvement
Fei Wang created SPARK-7163:
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Summary: minor refactory for HiveQl
Key: SPARK-7163
URL: https://issues.apache.org/jira/browse/SPARK-7163
Project: Spark
Issue Type: Improvement
Components:
Fei Wang created SPARK-7123:
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Summary: support table.star in sqlcontext
Key: SPARK-7123
URL: https://issues.apache.org/jira/browse/SPARK-7123
Project: Spark
Issue Type: Bug
Components:
Fei Wang created SPARK-7093:
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Summary: Using newPredicate in NestedLoopJoin to enable code
generation
Key: SPARK-7093
URL: https://issues.apache.org/jira/browse/SPARK-7093
Project: Spark
Issue
Fei Wang created SPARK-7109:
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Summary: Push down left side filter for left semi join
Key: SPARK-7109
URL: https://issues.apache.org/jira/browse/SPARK-7109
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-5659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14508302#comment-14508302
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Fei Wang commented on SPARK-5659:
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my locally test with dev/run-tests also go into this
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https://issues.apache.org/jira/browse/SPARK-5659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14508302#comment-14508302
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Fei Wang edited comment on SPARK-5659 at 4/23/15 2:02 AM:
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my
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https://issues.apache.org/jira/browse/SPARK-5659?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14508302#comment-14508302
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Fei Wang edited comment on SPARK-5659 at 4/23/15 2:03 AM:
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my
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