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https://issues.apache.org/jira/browse/MADLIB-1377?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16905529#comment-16905529
]
Juan Ignacio Saitua commented on MADLIB-1377:
---------------------------------------------
bq. MADlib does not currently support postgres named notation
Ok, thanks for the tip! Maybe I overlooked the documentation, but some note
about using _NULL_ values for the optional parameters could be useful for the
Postgres users.
{code:sql}
# SELECT madlib.pivot(
source_table := 'pivset'
,out_table := 'pivout'
,index := 'id'
,pivot_cols := 'piv'
,pivot_values := 'val'
,output_type := 'array'
,aggregate_func := NULL
,fill_value := NULL
,keep_null := NULL
,output_col_dictionary := NULL
);
pivot
-------
(1 row)
# SELECT * FROM pivout;
id | val_avg
----+---------------
| {8,NULL,NULL}
1 | {7,4,5.5}
0 | {1.5,3,NULL}
(3 rows)
{code}
> Pivot documentation is wrong about some optional parameters
> -----------------------------------------------------------
>
> Key: MADLIB-1377
> URL: https://issues.apache.org/jira/browse/MADLIB-1377
> Project: Apache MADlib
> Issue Type: Bug
> Components: Documentation
> Reporter: Juan Ignacio Saitua
> Priority: Major
> Fix For: v1.16
>
>
> I tried to output an array column instead of multiple columns using the
> optional parameter _output_type_, but it throws an error:
> {code:sql}
> --This is based on the example from the documentation page
> --This works ok
> SELECT madlib.pivot(source_table := 'pivset', out_table := 'pivout', index :=
> 'id', pivot_cols := 'piv', pivot_values := 'val');
> pivot
> -------
>
> (1 row)
> --Adding the optional parameter, output_type, doesn't work:
> SELECT madlib.pivot(source_table := 'pivset', out_table := 'pivout', index :=
> 'id', pivot_cols := 'piv', pivot_values := 'val', output_type := 'array');
> ERROR: function madlib.pivot(source_table => unknown, out_table => unknown,
> index => unknown, pivot_cols => unknown, pivot_values => unknown, output_type
> => unknown) does not exist
> {code}
> Looking at the corresponding _madlib.pivot()_ function, there's no parameter
> defined as _default_, so it seems that you can't have optional parameters as
> stated on the documentation?
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