[jira] [Updated] (KUDU-1680) Python - Improve PartialRow Usability

["Jordan Birdsell (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/KUDU-1680?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jordan Birdsell updated KUDU-1680:
----------------------------------
       Priority: Major  (was: Minor)
    Description: 
The current semantics for setting values in a PartialRow are not very elegant or comfortable for Python developers. Improvements should be made here to allow more seamless interoperability between KuduPartial rows and Python data structures.

Several options should be provided:
 - Dictionary (eg. `schema.row_from_record({'key': 1, 'micros': datetime.now(), 'string_val': 'test})`)
 - Tuple (eg. `schema.row_from_record((1, datetime.now(), 'test'))`)

  was:
The current semantics for write operations are not very elegant or comfortable for Python developers.

Several options should be provided:
 - Dictionary (eg. `table.new_insert({'key': 1, 'micros': datetime.now(), 'string_val': 'test})`)
 - Tuple (eg. `table.new_insert((1, datetime.now(), 'test'))`)
 - numpy recarray?

        Summary: Python - Improve PartialRow Usability  (was: Python - Improve Write Operation Semantics)

> Python - Improve PartialRow Usability
> -------------------------------------
>
>                 Key: KUDU-1680
>                 URL: https://issues.apache.org/jira/browse/KUDU-1680
>             Project: Kudu
>          Issue Type: Sub-task
>          Components: python
>    Affects Versions: 1.0.0
>            Reporter: Jordan Birdsell
>            Assignee: Jordan Birdsell
>
> The current semantics for setting values in a PartialRow are not very elegant or comfortable for Python developers. Improvements should be made here to allow more seamless interoperability between KuduPartial rows and Python data structures.
> Several options should be provided:
>  - Dictionary (eg. `schema.row_from_record({'key': 1, 'micros': datetime.now(), 'string_val': 'test})`)
>  - Tuple (eg. `schema.row_from_record((1, datetime.now(), 'test'))`)



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