Hi MADLib users, 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:
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 ); However, it looks like MADLib isn't liking using these fields when it comes to creating the temporary table: 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" Are there recipes or examples of using JSONB with MADLib? Is this a known limit? Thanks for the guidance, Chris