So I see in psycopg 2, there is a set_client_encoding('UTF8') function. In the psycopg 3 documentation it reads: client_encoding is gone Here I create the connection: conn = psycopg.connect(conninfo, row_factory = dict_row, autocommit = autocommit, client_encoding="UTF8") But then when I…
I used to use execute_values in psycopg2 but it's gone in psycopg3. I tried following the advice in this answer or this github post, but it just doesn't seem to work for my use case. I'm trying to insert multiple…
I am facing this error when I try to run psycopg3 on AWS Lambda. [ERROR] Runtime.ImportModuleError: Unable to import module 'function': no pq wrapper available. Attempts made: - couldn't import psycopg 'c' implementation: No module named 'psycopg_c' - couldn't import…
I have set up a decorator to provide my db connection using psycopg3 and I sometimes have it passing a connection that is closed and throwing the following error when I try to use it: the connection is closed Here…
I have a table with a JSONB field and would like to insert into it using a named dict like so: sql = "INSERT INTO tbl (id, json_fld) VALUES (%(id)s, %(json_fld)s)" conn.execute(sql, {'id':1, 'json_fld': {'a':1,'b':false, 'c': 'yes'}}); I tried the…
In python I have a list of tuples Each tuple has four fields, the first field is the row identifier that would be used in a where clause in a SQL update statement. tuple: (id, status, department, manager_email) update_tuple_list =…
My function to query account by email: CREATE FUNCTION get_account_by_email(account_email varchar(64)) RETURNS account AS $$ SELECT id, name, email FROM account WHERE account.email = account_email; $$ LANGUAGE SQL; My python code to call the function ("psycopg[binary]"==3.1.9): async def get_account_by_email(self, email:…
I'm using Psycopg3 (not 2!) and I can't figure out how can I connect to a remote Postgres server psycopg.connect(connection_string) https://www.psycopg.org/psycopg3/docs/ Thanks!
In Python is library psycopg and with that I can do queries. I have an array with texts and I just iterate over them and run query to find this text in postgres. But some time the query takes so…
Using psycopg2, I could write large results as CSV using copy_expert and a BytesIO buffer like this with pandas: copy_sql = "COPY (SELECT * FROM big_table) TO STDOUT CSV" buffer = BytesIO() cursor.copy_expert(copy_sql, buffer, size=8192) buffer.seek(0) pd.read_csv(buffer, engine="c").to_excel(self.output_file) However, I…