[jira] [Updated] (MADLIB-1265) Load data from database into PL/Python

["Frank McQuillan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1265?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan updated MADLIB-1265:
------------------------------------
    Fix Version/s: v2.0

> Load data from database into PL/Python
> --------------------------------------
>
>                 Key: MADLIB-1265
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1265
>             Project: Apache MADlib
>          Issue Type: New Feature
>          Components: Module: Utilities
>            Reporter: Frank McQuillan
>            Priority: Major
>             Fix For: v2.0
>
>
> Story
> `As a data scientist`
> I want to easily and efficiently load data from the database into PL/Python memory
> `so that`
> I can use the loaded data in my PL/Python code.
> Interface
> {code}
> load_to_plpythonu (
> 			source_table,				-- source table
> 			list_of_columns,			-- columns you want in GD, could be '*'
> 			list_of_columns_to_exclude	-- columns explicitly not to load
> 	);
> {code}
> Arguments
> {code}
> source_table
> TEXT. Name of the table containing the data to load.
> list_of_columns
> TEXT. Comma-separated string of column names or expressions to load. 
> Can also be '*' implying all columns are to be loaded (except for the ones included
>  in the next argument that lists exclusions). The types of the columns can be mixed.  
> Array columns can also be included in the list and will be loaded as is (i.e., not be flattened). (???)
> list_of_columns_to_exclude
> TEXT. Comma-separated string of column names to exclude from load. Typically used when 'list_of_columns' is set to '*'.
> {code}
> Details
> 1) This function will user facing and also will be called internally by other MADlib functions in the area of data parallel models.
> 2) The interface above is modeled on DT/RF.  I think it should be the same general idea.
> Open questions
> 1) Is the interface above the correct one?  Are there any parameters missing?
> 2) Can we support array columns, and is it necessary to flatten them? i.e., can we leave them unflattened, since that is preferable?
> Acceptance
> 1) Load MNIST data set from PG or GP into PL/Python and print out the a few rows of the data.
> 2) Load array columns and mixed type data  into PL/Python and confirm that types and formats are preserved.



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