SQLAlchemy IN clause

How about

session.query(MyUserClass).filter(MyUserClass.id.in_((123,456))).all()

edit: Without the ORM, it would be

session.execute(
    select(
        [MyUserTable.c.id, MyUserTable.c.name], 
        MyUserTable.c.id.in_((123, 456))
    )
).fetchall()

select() takes two parameters, the first one is a list of fields to retrieve, the second one is the where condition. You can access all fields on a table object via the c (or columns) property.

Assuming you use the declarative style (i.e. ORM classes), it is pretty easy:

query = db_session.query(User.id, User.name).filter(User.id.in_([123,456]))
results = query.all()

db_session is your database session here, while User is the ORM class with __tablename__ equal to "users".

An alternative way is using raw SQL mode with SQLAlchemy, I use SQLAlchemy 0.9.8, python 2.7, MySQL 5.X, and MySQL-Python as connector, in this case, a tuple is needed. My code listed below:

id_list = [1, 2, 3, 4, 5] # in most case we have an integer list or set
s = text('SELECT id, content FROM myTable WHERE id IN :id_list')
conn = engine.connect() # get a mysql connection
rs = conn.execute(s, id_list=tuple(id_list)).fetchall()

Hope everything works for you.

With the expression API, which based on the comments is what this question is asking for, you can use the in_ method of the relevant column.

To query

SELECT id, name FROM user WHERE id in (123,456)

use

myList = [123, 456]
select = sqlalchemy.sql.select([user_table.c.id, user_table.c.name], user_table.c.id.in_(myList))
result = conn.execute(select)
for row in result:
    process(row)

This assumes that user_table and conn have been defined appropriately.

Just wanted to share my solution using sqlalchemy and pandas in python 3. Perhaps, one would find it useful.

import sqlalchemy as sa
import pandas as pd
engine = sa.create_engine("postgresql://postgres:my_password@my_host:my_port/my_db")
values = [val1,val2,val3]   
query = sa.text(""" 
                SELECT *
                FROM my_table
                WHERE col1 IN :values; 
""")
query = query.bindparams(values=tuple(values))
df = pd.read_sql(query, engine)