- asyncpg version: 0.23
- PostgreSQL version: 13
- Do you use a PostgreSQL SaaS? If so, which? Can you reproduce
the issue with a local PostgreSQL install?: Yandex Cloud
- Python version: 3.7
- Platform: Ubuntu 18.04
- Do you use pgbouncer?: yes
- Did you install asyncpg with pip?: no
- If you built asyncpg locally, which version of Cython did you use?: no
- Can the issue be reproduced under both asyncio and
uvloop?: don't know
We have a web server on Python which is sending queries to the PostgreSQL cluster. After adding a column to the table using a migration without disconnecting I encounter errors with some queries to that table. Example of the query below:
WITH row_info as ( SELECT id FROM UNNEST($1::scheme.affected_table[]) ) DELETE FROM scheme.affected_table AS entities USING row_info WHERE entities.id = row_info.id;
To $1 I pass the list of dictionaries like [{'id': 1, 'field1': 'value1', ...}].
Before the migration or from new connections the query works perfectly. But for queries from web-server I get "wrong number of columns: 11, expected 12". Rebooting the web-server resolves the problem.
I think the problem can be related to Prepared Statements or encoding of Mapping.
the issue with a local PostgreSQL install?: Yandex Cloud
uvloop?: don't know
We have a web server on Python which is sending queries to the PostgreSQL cluster. After adding a column to the table using a migration without disconnecting I encounter errors with some queries to that table. Example of the query below:
WITH row_info as ( SELECT id FROM UNNEST($1::scheme.affected_table[]) ) DELETE FROM scheme.affected_table AS entities USING row_info WHERE entities.id = row_info.id;To $1 I pass the list of dictionaries like
[{'id': 1, 'field1': 'value1', ...}].Before the migration or from new connections the query works perfectly. But for queries from web-server I get "wrong number of columns: 11, expected 12". Rebooting the web-server resolves the problem.
I think the problem can be related to Prepared Statements or encoding of Mapping.