[jira] [Assigned] (SPARK-9843) Catalyst: Allow adding custom optimizers

2016-01-04 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-9843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-9843:
---

Assignee: Apache Spark

> Catalyst: Allow adding custom optimizers
> 
>
> Key: SPARK-9843
> URL: https://issues.apache.org/jira/browse/SPARK-9843
> Project: Spark
>  Issue Type: New Feature
>  Components: SQL
>Affects Versions: 1.4.1
>Reporter: Robert Kruszewski
>Assignee: Apache Spark
>
> Currently there's only option to plug into query planning. This provides 
> limited capability for optimizing queries.
> Allowing specifying custom optimizers would allow applications that make use 
> of spark sql tune their workflows. One example would be inserting 
> repartitions into query plan which isn't generally applicable but if you know 
> range of possible queries you can do that on the backend.



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[jira] [Assigned] (SPARK-9843) Catalyst: Allow adding custom optimizers

2016-01-04 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-9843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-9843:
---

Assignee: (was: Apache Spark)

> Catalyst: Allow adding custom optimizers
> 
>
> Key: SPARK-9843
> URL: https://issues.apache.org/jira/browse/SPARK-9843
> Project: Spark
>  Issue Type: New Feature
>  Components: SQL
>Affects Versions: 1.4.1
>Reporter: Robert Kruszewski
>
> Currently there's only option to plug into query planning. This provides 
> limited capability for optimizing queries.
> Allowing specifying custom optimizers would allow applications that make use 
> of spark sql tune their workflows. One example would be inserting 
> repartitions into query plan which isn't generally applicable but if you know 
> range of possible queries you can do that on the backend.



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[jira] [Assigned] (SPARK-9843) Catalyst: Allow adding custom optimizers

2015-08-12 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-9843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-9843:
---

Assignee: Apache Spark

 Catalyst: Allow adding custom optimizers
 

 Key: SPARK-9843
 URL: https://issues.apache.org/jira/browse/SPARK-9843
 Project: Spark
  Issue Type: New Feature
  Components: SQL
Affects Versions: 1.4.1
Reporter: Robert Kruszewski
Assignee: Apache Spark

 Currently there's only option to plug into query planning. This provides 
 limited capability for optimizing queries.
 Allowing specifying custom optimizers would allow applications that make use 
 of spark sql tune their workflows. One example would be inserting 
 repartitions into query plan which isn't generally applicable but if you know 
 range of possible queries you can do that on the backend.



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This message was sent by Atlassian JIRA
(v6.3.4#6332)

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To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
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[jira] [Assigned] (SPARK-9843) Catalyst: Allow adding custom optimizers

2015-08-12 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-9843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-9843:
---

Assignee: (was: Apache Spark)

 Catalyst: Allow adding custom optimizers
 

 Key: SPARK-9843
 URL: https://issues.apache.org/jira/browse/SPARK-9843
 Project: Spark
  Issue Type: New Feature
  Components: SQL
Affects Versions: 1.4.1
Reporter: Robert Kruszewski

 Currently there's only option to plug into query planning. This provides 
 limited capability for optimizing queries.
 Allowing specifying custom optimizers would allow applications that make use 
 of spark sql tune their workflows. One example would be inserting 
 repartitions into query plan which isn't generally applicable but if you know 
 range of possible queries you can do that on the backend.



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