[jira] [Updated] (ARROW-8221) [Python][Dataset] Expose schema inference / validation options in the factory

2020-03-31 Thread Joris Van den Bossche (Jira)


 [ 
https://issues.apache.org/jira/browse/ARROW-8221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joris Van den Bossche updated ARROW-8221:
-
Fix Version/s: (was: 0.17.0)
   1.0.0

> [Python][Dataset] Expose schema inference / validation options in the factory
> -
>
> Key: ARROW-8221
> URL: https://issues.apache.org/jira/browse/ARROW-8221
> Project: Apache Arrow
>  Issue Type: Improvement
>  Components: Python
>Reporter: Joris Van den Bossche
>Assignee: Joris Van den Bossche
>Priority: Major
> Fix For: 1.0.0
>
>
> ARROW-8058 added options related to schema inference / validation for the 
> Dataset factory. We should expose this in Python in the {{dataset(..)}} 
> factory function:
> - Add ability to pass a user-specified schema with a {{schema}} keyword, 
> instead of inferring the schema from (one of) the files (to be passed to the 
> factory finish method)
> - Add {{validate_schema}} option to toggle whether the schema is validated 
> against the actual files or not.
> - Expose in some way the number of fragments to be inspected when inferring 
> or validating the schema. Not sure yet what the best API for this would be. 



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[jira] [Updated] (ARROW-8221) [Python][Dataset] Expose schema inference / validation options in the factory

2020-03-25 Thread Joris Van den Bossche (Jira)


 [ 
https://issues.apache.org/jira/browse/ARROW-8221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joris Van den Bossche updated ARROW-8221:
-
Description: 
ARROW-8058 added options related to schema inference / validation for the 
Dataset factory. We should expose this in Python in the {{dataset(..)}} factory 
function:

- Add ability to pass a user-specified schema with a {{schema}} keyword, 
instead of inferring the schema from (one of) the files (to be passed to the 
factory finish method)
- Add {{validate_schema}} option to toggle whether the schema is validated 
against the actual files or not.
- Expose in some way the number of fragments to be inspected when inferring or 
validating the schema. Not sure yet what the best API for this would be. 

  was:
ARROW-8058 added options related to schema inference / validation for the 
Dataset factory. We should expose this in Python in the {{dataset(..)}} factory 
function:

- Add ability to pass a user-specified schema with a {{schema}} keyword, 
instead of inferring the schema from (one of) the files (to be passed to the 
factory finish method)
- Add {{validate_schema}} option to toggle whether the schema is validated 
against the actual files or not.
- Expose in some way the number of fragments to be inspected when inferring the 
schema. Not sure yet what the best API for this would be. 


> [Python][Dataset] Expose schema inference / validation options in the factory
> -
>
> Key: ARROW-8221
> URL: https://issues.apache.org/jira/browse/ARROW-8221
> Project: Apache Arrow
>  Issue Type: Improvement
>  Components: Python
>Reporter: Joris Van den Bossche
>Priority: Major
> Fix For: 0.17.0
>
>
> ARROW-8058 added options related to schema inference / validation for the 
> Dataset factory. We should expose this in Python in the {{dataset(..)}} 
> factory function:
> - Add ability to pass a user-specified schema with a {{schema}} keyword, 
> instead of inferring the schema from (one of) the files (to be passed to the 
> factory finish method)
> - Add {{validate_schema}} option to toggle whether the schema is validated 
> against the actual files or not.
> - Expose in some way the number of fragments to be inspected when inferring 
> or validating the schema. Not sure yet what the best API for this would be. 



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