Pandas read_sql query with multiple selects

Question

Can read_sql query handle a sql script with multiple select statements?

I have a MSSQL query that is performing different tasks, but I don\'t want to have to write a

Answer 1

You could do the following:

queries = """
SELECT ColumnX_1, ColumnX_2, ColumnX_3

FROM Table_X
INNER JOIN (Etc etc...)
---
SELECT ColumnY_1, ColumnY_2, ColumnY_3

FROM Table_Y
INNER JOIN (Etc etc...)
""".split("---")

Now you can query each table and concat the result:

df = pd.concat([pd.read_sql_query(q, connection) for q in queries])

---

Another option is to use UNION on the two results i.e. do the concat in SQL.