Documentation: Clarify instructions about changing row_factory for SQLite3 (#1573)
* Clarify instructions about changing row_factory When I was working through the tutorial, this was very confusing to me; so, I've added the code and clarification that would have helped me get through it faster. * Clarify the nature of Row objects * Rewrite code example for further clarity.
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1 changed files with 19 additions and 2 deletions
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@ -71,7 +71,8 @@ Now in each request handling function you can access `g.db` to get the
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current open database connection. To simplify working with SQLite, a
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row factory function is useful. It is executed for every result returned
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from the database to convert the result. For instance, in order to get
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dictionaries instead of tuples, this could be inserted into ``get_db``::
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dictionaries instead of tuples, this could be inserted into the ``get_db``
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function we created above::
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def make_dicts(cursor, row):
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return dict((cursor.description[idx][0], value)
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@ -79,10 +80,26 @@ dictionaries instead of tuples, this could be inserted into ``get_db``::
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db.row_factory = make_dicts
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Or even simpler::
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This will make the sqlite3 module return dicts for this database connection, which are much nicer to deal with. Even more simply, we could place this in ``get_db`` instead::
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db.row_factory = sqlite3.Row
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This would use Row objects rather than dicts to return the results of queries. These are ``namedtuple`` s, so we can access them either by index or by key. For example, assuming we have a ``sqlite3.Row`` called ``r`` for the rows ``id``, ``FirstName``, ``LastName``, and ``MiddleInitial``::
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>>> # You can get values based on the row's name
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>>> r['FirstName']
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John
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>>> # Or, you can get them based on index
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>>> r[1]
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John
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# Row objects are also iterable:
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>>> for value in r:
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... print(value)
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1
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John
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Doe
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M
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Additionally, it is a good idea to provide a query function that combines
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getting the cursor, executing and fetching the results::
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