I have a table that has one column declared as a json and I need to update records by adding a key-value to the json value.
model
class User(db.Model):
__tablename__ = 'users'
loginId = db.Column(db.String(128), nullable=False, primary_key=True)
_password = db.Column(db.String(128), nullable=True)
views = db.Column(JSON, nullable=True)
controller
@mod_event.route('/view', methods=['POST'])
def view():
try:
params = request.json
loginId = params['dream']['loginId']
users.update().\
where(users.c.loginId==loginId).\
values(views=<query>))
Assume current value in views
is {'1001' : 1}
What should be the query if views
has to be updated to -
if i don't want to query the value first, change and update back.
I'm having a hard time figuring how to do this in a single query, please help, thanks!
if you are using JSONB
, you can use the jsonb_set
function
(table
.update()
.values(views=func.jsonb_set(table.c.views,
'{%s}' % '1002',
1))
.where(...))
if you are inserting from other column
(table
.update()
.values(views=func.jsonb_set(table.c.views,
'{%s}' % '1002',
other_table.c.other_column.cast(String).cast(JSONB)))
.where(...))
Refer to this answer for how to do it in SQL.
To do the same thing in Python (with PostgreSQL 9.5):
update().where(...)\
.values(views=cast(cast(u.c.views, JSONB)
.concat(func.jsonb_build_object('1002', 1)), JSON)
For PostgreSQL 9.3+, you'll have to create the function in PostgreSQL first, then:
update().where(...)\
.values(views=func.json_object_set_key(u.c.views, '1002', 1))
This way we can update new key-value pair in the views field.
from sqlalchemy import cast,func, JSON
from sqlalchemy.dialects.postgresql import JSONB
users.query.filter(users.c.loginId==loginId).update({users.data: cast(
cast(users.data, JSONB).concat(func.jsonb_build_object('1002', 1)), JSON)}, synchronize_session="fetch")
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