[jira] [Updated] (SPARK-7133) Implement struct, array, and map field accessor using apply in Scala and __getitem__ in Python

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-7133:
-------------------------------
    Description: 
Typing 
{code}
df.col[1]

and

df.col['field']
{code}

is so much eaiser than

{code}
df.col.getField('field')
df.col.getItem(1)
{code}


This would require us to define (in Column) an apply function in Scala, and a __getitem__ function in Python.

  was:
Typing 
{code}
df.col[1]

and

df.col['field']
{code}

is so much eaiser than

{code}
df.col.getField('field')
df.col.getItem(1)
{code}


> Implement struct, array, and map field accessor using apply in Scala and __getitem__ in Python
> ----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-7133
>                 URL: https://issues.apache.org/jira/browse/SPARK-7133
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>
> Typing 
> {code}
> df.col[1]
> and
> df.col['field']
> {code}
> is so much eaiser than
> {code}
> df.col.getField('field')
> df.col.getItem(1)
> {code}
> This would require us to define (in Column) an apply function in Scala, and a __getitem__ function in Python.



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

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org