I have a database that I don't have metadata or orm classes for (the database already exists).
I managed to get the select stuff working by:
from sqlalchemy.sql.expression import ColumnClause
from sqlalchemy.sql import table, column, select, update, insert
from sqlalchemy.ext.declarative import *
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
import pyodbc
db = create_engine('mssql+pyodbc://pytest')
Session = sessionmaker(bind=db)
session = Session()
list = []
list.append (column("field1"))
list.append (column("field2"))
list.append (column("field3"))
s = select(list)
s.append_from('table')
s.append_whereclause("field1 = 'abc'")
s = s.limit(10)
result = session.execute(s)
out = result.fetchall()
print(out)
So far so good.
The only way I can get an update/insert working is by executing a raw query like:
session.execute(<Some sql>)
I would like to make it so I can make a class out of that like:
u = Update("table")
u.Set("file1","some value")
u.Where(<some conditon>)
seasion.execute(u)
Tried (this is just one of the approaches I tried):
i = insert("table")
v = i.values([{"name":"name1"}, {"name":"name2"}])
u = update("table")
u = u.values({"name": "test1"})
I can't get that to execute on:
session.execute(i)
or
session.execute(u)
Any suggestion how to construct an insert or update without writing ORM models?
Update table elements in SQLAlchemy. Get the books to table from the Metadata object initialized while connecting to the database. Pass the update query to the execute() function and get all the results using fetchall() function. Use a for loop to iterate through the results.
If you have data for which business objects are not needed, use Core. If you view your data as business objects, use ORM. If you are building a quick prototype, use ORM. If you have a combination of needs that really could leverage both business objects and other data unrelated to the problem domain, use both!
Inserting records into a database In SQL, we use the INSERT command to add records/rows into table data.
As you can see from the SQLAlchemy Overview documentation, sqlalchemy is build with two layers: ORM
and Core
. Currently you are using only some constructs of the Core
and building everything manually.
In order to use Core
you should let SQLAlchemy know some meta information about your database in order for it to operate on it. Assuming you have a table mytable
with columns field1, field2, field3
and a defined primary key
, the code below should perform all the tasks you need:
from sqlalchemy.sql import table, column, select, update, insert
# define meta information
metadata = MetaData(bind=engine)
mytable = Table('mytable', metadata, autoload=True)
# select
s = mytable.select() # or:
#s = select([mytable]) # or (if only certain columns):
#s = select([mytable.c.field1, mytable.c.field2, mytable.c.field3])
s = s.where(mytable.c.field1 == 'abc')
result = session.execute(s)
out = result.fetchall()
print(out)
# insert
i = insert(mytable)
i = i.values({"field1": "value1", "field2": "value2"})
session.execute(i)
# update
u = update(mytable)
u = u.values({"field3": "new_value"})
u = u.where(mytable.c.id == 33)
session.execute(u)
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