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  1. The column names in the result set should match your selected columns as defined in your SQL query. In my Python program (using MySQLdb) my query returns only the row and column results, but not the column names. In the following example the column names would be ext, totalsize, and filecount.

  2. 26 maj 2017 · Is it possible to make aliases for the columns in SQL and I get them immediately so that I can code to generate JSON as below: myjson = generateEmptyJson() foreach val in result: myjson.append("val.getAlias()":"val.getValue()")

  3. pypi.org › project › sql_metadatasql_metadata · PyPI

    26 sie 2024 · sql-metadata. Uses tokenized query returned by python-sqlparse and generates query metadata. Extracts column names and tables used by the query. Automatically conduct column alias resolution, sub queries aliases resolution as well as tables aliases resolving.

  4. 4 sty 2024 · Column aliases are an SQL feature that allows columns to be referenced by an alternative name. This can be particularly useful when working with expressions or dealing with table joins that could result in column name clashes.

  5. 18 sty 2024 · Getting column names or aliases from a query in Python 3 can be achieved using the cursor.description attribute. This attribute returns a list of tuples, where each tuple represents a column in the result set. By extracting the first element of each tuple, we can obtain the column names or aliases.

  6. This hosts the python library code for extracting column names from a SQL query. The SQL query can be a simple select, select with inline queries, queries with "with" clause and many more...

  7. 12 cze 2022 · As SQL developers, there are several times when we have to alias Physical column names and table name before it is used in another application (say Tableau or Power BI).

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