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Posted to issues@madlib.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/12/27 22:01:00 UTC

[jira] [Commented] (MADLIB-1284) linregr_train fails when dependent variable is a JSONB element

    [ https://issues.apache.org/jira/browse/MADLIB-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16729903#comment-16729903 ] 

ASF GitHub Bot commented on MADLIB-1284:
----------------------------------------

GitHub user hpandeycodeit opened a pull request:

    https://github.com/apache/madlib/pull/343

      Linear Regression: Support for JSON and special characters

      JIRA: MADLIB-1284
    
      - Modified code in linear.py_in to support special characters and JSON data type
      - Written test case for JSON and Speacial characters
      - Test case checks for JSON and special characters in GPDB 5.x and Special characters in GPDB 4.x

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/hpandeycodeit/incubator-madlib MADLIB_1284

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/madlib/pull/343.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #343
    
----
commit 179c936ade15558366b5c0aaf0eae8b744f8d492
Author: hpandeycodeit <hp...@...>
Date:   2018-12-27T21:55:48Z

      Linear Regression: Support for JSON and special characters
    
      JIRA: MADLIB-1284
    
      - Modified code in linear.py_in to support special characters and JSON data type
      - Written test case for JSON and Speacial characters
      - Test case checks for JSON and special characters in GPDB 5.x and Special characters in GPDB 4.x

----


> linregr_train fails when dependent variable is a JSONB element
> --------------------------------------------------------------
>
>                 Key: MADLIB-1284
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1284
>             Project: Apache MADlib
>          Issue Type: Bug
>          Components: Module: Linear Regression
>            Reporter: Nandish Jayaram
>            Assignee: Himanshu Pandey
>            Priority: Minor
>             Fix For: v1.16
>
>
> An issue reported in the user mailing list (https://lists.apache.org/thread.html/ab645438d4ab6ab3508f3e7c790d2fc65fe845031bd481aa0bdff5f1@%3Cuser.madlib.apache.org%3E):
> I have a table that contains a JSONB field (Postgres 10.x) and am now looking to analyze all that rich data with MADLib.  Example query:
> {quote}SELECT madlib.linregr_train (
>   'regr_example',         -- source table
>   'regr_example_model',   -- output model table
>   '(data->>''y'')::int',     -- dependent variable
>   'ARRAY[1, (data->>''x1'')::int, (data->>''x2'')::int]'      -- independent variables
> );{quote}
> However, it looks like MADLib isn't liking using these fields when it comes to creating the temporary table:
> {quote}ERROR:  spiexceptions.SyntaxError: syntax error at or near "')::int'"
> LINE 7:                     , '(data->>'y')::int'::varchar      as d...
>                                          ^
> QUERY:  
>             create table regr_example_model_summary as
>                 select
>                       'linregr'::varchar                  as method
>                     , 'regr_example'::varchar           as source_table
>                     , 'regr_example_model'::varchar              as out_table
>                     , '(data->>'y')::int'::varchar      as dependent_varname
>                     , 'ARRAY[1, (data->>'x1')::int, (data->>'x2')::int]'::varchar    as independent_varname
>                     , 0::integer       as num_rows_processed
>                     , 4::integer         as num_missing_rows_skipped
>                     , NULL::text                as grouping_col
>            
> CONTEXT:  Traceback (most recent call last):
>   PL/Python function "linregr_train", line 20, in <module>
>     return linear.linregr_train(**globals())
>   PL/Python function "linregr_train", line 146, in linregr_train
> PL/Python function "linregr_train"{quote}



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