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POGetting Table and Column names in PyOdbc
 

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    <p>I'd like to retrieve the fully referenced column name from a PyOdbc Cursor. For example, say I have 2 simple tables:</p> <ul> <li><code>Table_1(Id, &lt; some other fields &gt;)</code></li> <li><code>Table_2(Id, &lt; some other fields &gt;)</code></li> </ul> <p>and I want to retrieve the joined data</p> <pre><code>select * from Table_1 t1, Table2 t2 where t1.Id = t2.Id </code></pre> <p>using pyodbc, like this:</p> <pre><code>query = 'select * from Table_1 t1, Table2 t2 where t1.Id = t2.Id' import pyodbc conn_string = '&lt;removed&gt;' connection = pyodbc.connect(conn_string) cursor = connection.cursor()cursor.execute(query) </code></pre> <p>I then want to get the column names:</p> <pre><code>for row in cursor.description: print row[0] </code></pre> <p>BUT if I do this I'll get <code>Id</code> twice which I don't want. Ideally I could get <code>t1.Id</code> and <code>t2.Id</code> in the output.</p> <p>Some of the solutions I've thought of (and why I don't really want to implement them):</p> <ol> <li>re-name the columns in the query - in my real-world use case there are dozens of tables, some with dozens of rows that are changed far too often</li> <li>parse my query and automate my SQL query generation (basically checking the query for tables, using the cursor.tables function to get the columns and then replacing the <code>select *</code> with a set of named columns) - If I have too I'll do this, but it seems like overkill for a testing harness</li> </ol> <p>Is there a better way? Any advice would be appreciated.</p>
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    1. COA duplicate of this question? http://stackoverflow.com/questions/12704305/return-column-names-from-pyodbc-execute-statement
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