[jira] [Updated] (SPARK-18078) Add option for customize zipPartition task preferred locations

2019-05-20 Thread Hyukjin Kwon (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-18078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-18078:
-
Labels: bulk-closed  (was: )

> Add option for customize zipPartition task preferred locations
> --
>
> Key: SPARK-18078
> URL: https://issues.apache.org/jira/browse/SPARK-18078
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Reporter: Weichen Xu
>Priority: Minor
>  Labels: bulk-closed
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> `RDD.zipPartitions` task preferred locations strategy will use the 
> intersection of corresponding zipped partitions locations, if the 
> intersection is null, it use union of these locations.
> but in special case, I want to customize the task preferred locations for 
> better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
> operator: a distributed matrix(DMatrix) multiplying a distributed 
> vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
> partitioned in the same way beforehand).
> https://github.com/databricks/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala
> Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope 
> the zipPartition task always locates on `DMatrix` partition's location. it 
> will get better data locality than the default preferred location strategy.
> I think it make sense to add an option for this.
>  



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[jira] [Updated] (SPARK-18078) Add option for customize zipPartition task preferred locations

2016-10-24 Thread Weichen Xu (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-18078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Weichen Xu updated SPARK-18078:
---
Priority: Minor  (was: Major)

> Add option for customize zipPartition task preferred locations
> --
>
> Key: SPARK-18078
> URL: https://issues.apache.org/jira/browse/SPARK-18078
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Reporter: Weichen Xu
>Priority: Minor
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> `RDD.zipPartitions` task preferred locations strategy will use the 
> intersection of corresponding zipped partitions locations, if the 
> intersection is null, it use union of these locations.
> but in special case, I want to customize the task preferred locations for 
> better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
> operator: a distributed matrix(DMatrix) multiplying a distributed 
> vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
> partitioned in the same way beforehand).
> https://github.com/databricks/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala
> Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope 
> the zipPartition task always locates on `DMatrix` partition's location. it 
> will get better data locality than the default preferred location strategy.
> I think it make sense to add an option for this.
>  



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[jira] [Updated] (SPARK-18078) Add option for customize zipPartition task preferred locations

2016-10-24 Thread Weichen Xu (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-18078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Weichen Xu updated SPARK-18078:
---
Description: 
`RDD.zipPartitions` task preferred locations strategy will use the intersection 
of corresponding zipped partitions locations, if the intersection is null, it 
use union of these locations.

but in special case, I want to customize the task preferred locations for 
better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
operator: a distributed matrix(DMatrix) multiplying a distributed 
vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
partitioned in the same way beforehand).
https://github.com/databricks/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala

Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope the 
zipPartition task always locates on `DMatrix` partition's location. it will get 
better data locality than the default preferred location strategy.

I think it make sense to add an option for this.
 

  was:
`RDD.zipPartitions` task preferred locations strategy will use the intersection 
of corresponding zipped partitions locations, if the intersection is null, it 
use union of these locations.

but in special case, I want to customize the task preferred locations for 
better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
operator: a distributed matrix(DMatrix) multiplying a distributed 
vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
partitioned in the same way beforehand).
https://github.com/WeichenXu123/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala

Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope the 
zipPartition task always locates on `DMatrix` partition's location. it will get 
better data locality than the default preferred location strategy.

I think it make sense to add an option for this.
 


> Add option for customize zipPartition task preferred locations
> --
>
> Key: SPARK-18078
> URL: https://issues.apache.org/jira/browse/SPARK-18078
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Reporter: Weichen Xu
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> `RDD.zipPartitions` task preferred locations strategy will use the 
> intersection of corresponding zipped partitions locations, if the 
> intersection is null, it use union of these locations.
> but in special case, I want to customize the task preferred locations for 
> better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
> operator: a distributed matrix(DMatrix) multiplying a distributed 
> vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
> partitioned in the same way beforehand).
> https://github.com/databricks/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala
> Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope 
> the zipPartition task always locates on `DMatrix` partition's location. it 
> will get better data locality than the default preferred location strategy.
> I think it make sense to add an option for this.
>  



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[jira] [Updated] (SPARK-18078) Add option for customize zipPartition task preferred locations

2016-10-24 Thread Weichen Xu (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-18078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Weichen Xu updated SPARK-18078:
---
Description: 
`RDD.zipPartitions` task preferred locations strategy will use the intersection 
of corresponding zipped partitions locations, if the intersection is null, it 
use union of these locations.

but in special case, I want to customize the task preferred locations for 
better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
operator: a distributed matrix(DMatrix) multiplying a distributed 
vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
partitioned in the same way beforehand).
https://github.com/WeichenXu123/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala

Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope the 
zipPartition task always locates on `DMatrix` partition's location. it will get 
better data locality than the default preferred location strategy.

I think it make sense to add an option for this.
 

  was:
`RDD.zipPartitions` task preferred locations strategy will use the intersection 
of corresponding zipped partitions locations, if the intersection is null, it 
use union of these locations.

but in special case, I want to customize the task preferred locations for 
better performance. A typical case is in spark-tfocus: a distributed 
matrix(DMatrix) multiply a vector(DVector), it use RDD.zipPartitions.
https://github.com/WeichenXu123/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/DVectorFunctions.scala

Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope the 
zipPartition task always locates on `DMatrix` partition's location. it will get 
better data locality than the default preferred location strategy.

I think it make sense to add an option for this.
 


> Add option for customize zipPartition task preferred locations
> --
>
> Key: SPARK-18078
> URL: https://issues.apache.org/jira/browse/SPARK-18078
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Reporter: Weichen Xu
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> `RDD.zipPartitions` task preferred locations strategy will use the 
> intersection of corresponding zipped partitions locations, if the 
> intersection is null, it use union of these locations.
> but in special case, I want to customize the task preferred locations for 
> better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* 
> operator: a distributed matrix(DMatrix) multiplying a distributed 
> vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be 
> partitioned in the same way beforehand).
> https://github.com/WeichenXu123/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala
> Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope 
> the zipPartition task always locates on `DMatrix` partition's location. it 
> will get better data locality than the default preferred location strategy.
> I think it make sense to add an option for this.
>  



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