I want to create a function that maps dialect-specific DB types to generic sqlalchemy DB types.
For example: I'm trying to get data types from the OracleDB table and then create a table in MySql DB(or another) using received metadata. I'm getting dialect-specific column types.
Here is a minimal code to create OracleDB table:
create table test_test(id int, num_int number(10), num_float number(10,4), dt date, ts timestamp, str varchar2(100), fl float);
insert into test_test(id) values(1);
To receive DB table column types
from pprint import pprint
from sqlalchemy import sessionmaker, create_engine
engine = create_engine(...)
session = sessionmaker()
session.configure(bind=engine)
session = session()
res = session.execute('select * from test_test where 1 = 2')
columns = res.cursor.description
pprint(columns)
Output
[('ID', <cx_Oracle.DbType DB_TYPE_NUMBER>, 39, None, 38, 0, 1),
('NUM_INT', <cx_Oracle.DbType DB_TYPE_NUMBER>, 11, None, 10, 0, 1),
('NUM_FLOAT', <cx_Oracle.DbType DB_TYPE_NUMBER>, 16, None, 10, 4, 1),
('DT', <cx_Oracle.DbType DB_TYPE_DATE>, 23, None, None, None, 1),
('TS', <cx_Oracle.DbType DB_TYPE_TIMESTAMP>, 23, None, 0, 6, 1),
('STR', <cx_Oracle.DbType DB_TYPE_VARCHAR>, 100, 100, None, None, 1),
('FL', <cx_Oracle.DbType DB_TYPE_NUMBER>, 127, None, 126, -127, 1)]
How can I get generic sqlalchemy column types (String, Integer, etc) instead of dialect-specific ones?
from How to get generic data type from dialect specific type in sqlalchemy?
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