dump csv from sqlalchemy

There are numerous ways to achieve this, including a simple os.system() call to the sqlite3 utility if you have that installed, but here's roughly what I'd do from Python:

import sqlite3
import csv

con = sqlite3.connect('mydatabase.db')
outfile = open('mydump.csv', 'wb')
outcsv = csv.writer(outfile)

cursor = con.execute('select * from mytable')

# dump column titles (optional)
outcsv.writerow(x[0] for x in cursor.description)
# dump rows
outcsv.writerows(cursor.fetchall())

outfile.close()

I adapted the above examples to my sqlalchemy based code like this:

import csv
import sqlalchemy as sqAl

metadata = sqAl.MetaData()
engine = sqAl.create_engine('sqlite:///%s' % 'data.db')
metadata.bind = engine

mytable = sqAl.Table('sometable', metadata, autoload=True)
db_connection = engine.connect()

select = sqAl.sql.select([mytable])
result = db_connection.execute(select)

fh = open('data.csv', 'wb')
outcsv = csv.writer(fh)

outcsv.writerow(result.keys())
outcsv.writerows(result)

fh.close

This works for me with sqlalchemy 0.7.9. I suppose that this would work with all sqlalchemy table and result objects.

with open('dump.csv', 'wb') as f:
    out = csv.writer(f)
    out.writerow(['id', 'description'])

    for item in session.query(Queue).all():
        out.writerow([item.id, item.description])

I found this to be useful if you don't mind hand-crafting your column labels.

Modifying Peter Hansen's answer here a bit, to use SQLAlchemy instead of raw db access

import csv
outfile = open('mydump.csv', 'wb')
outcsv = csv.writer(outfile)
records = session.query(MyModel).all()
[outcsv.writerow([getattr(curr, column.name) for column in MyTable.__mapper__.columns]) for curr in records]
# or maybe use outcsv.writerows(records)

outfile.close()