Hi all,

I have this raw sql which I execute in my query:

 sql_statement = """
>                         SELECT id, title, description, created_on, slug
>                         FROM (SELECT infobank_article.id as id,
>                                      infobank_article.title as title,
>                                      infobank_article.description as 
> description,
>                                      infobank_article.created_on as 
> created_on,
>                                      infobank_article.slug as slug,
>                                      setweight(to_tsvector('dutch', 
> infobank_article.title), 'A') ||
>                                      setweight(to_tsvector('dutch', 
> infobank_article.body_text), 'B') ||
>                                      setweight(to_tsvector('simple', 
> coalesce(string_agg(plugin_tagging_tag.name, ' '))), 'B') as document
>                               FROM infobank_article
>                               JOIN plugin_tagging_link ON 
> plugin_tagging_link.record_id = infobank_article.id
>                               JOIN plugin_tagging_tag ON 
> plugin_tagging_tag.id = plugin_tagging_link.tag
>                               GROUP BY infobank_article.id) p_search
>                         WHERE p_search.document @@ to_tsquery('%s')
>                         ORDER BY ts_rank(p_search.document, 
> to_tsquery('%s'))
>                         DESC
>                         LIMIT 10 OFFSET 0;
>                     """ % (val, val)
> articles = db.executesql(sql_statement)

 
It takes articles from the db and orders them by relevance (search engine).
It works, but I was wondering if there is a web2py query to do this?

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