How to get list of objects from multi-value field with SqlAlchemy using ORM?

I have MS Access DB file (.accdb) from my client and need to describe tables and columns with declarative_base class. As I can see in table constructor – one of column has Integer value and has …

Bulk Saving and Updating while returning IDs

So I’m using sqlalchemy for a project I’m working on. I’ve got an issue where I will eventually have thousands of records that need to be saved every hour. These records may be inserted or updated. I’…

How to have the possibility to call name of columns in db.session.query with 2 tables in Flask Python?

I am developing a web application with Flask, Python, SQLAlchemy, and Mysql. I have 2 tables: TaskUser: – id – id_task (foreign key of id column of table Task) – message Task – id – id_type_task I …

Bound metadata RemovedIn20Warning in debug mode

I use SQLAlchemy 1.4.0beta1 and enabled future flag for both the engine and the Session. Normally I don’t receive warnings. But in debug mode I receive warnings on 2.0 style select statements. My …

Can’t append to an existing table. Fails silently

I’m trying to dump a pandas DataFrame into an existing Snowflake table (via a jupyter notebook). When I run the code below no errors are raised, but no data is written to the destination SF table (df …

“Maximum number of parameters” error with filter .in_(list) using pyodbc

One of our queries that was working in Python 2 + mxODBC is not working in Python 3 + pyodbc; it raises an error like this: Maximum number of parameters in the sql query is 2100. while connecting to SQL Server. Since both the printed queries have 3000 params, I thought it should fail in both environments, but clearly that doesn’t seem to be the case here. In the Python 2 environment, both MSODBC 11 or MSODBC 17 works, so I immediately ruled out a driver related issue. So my question is: Is it correct to send a list as

Flask SQLAlchemy reflection ignoring most of tables on Redshift

I’m creating the engine and the Metadata as follows Yields AttributeError: packages, and dir(Base.classes) returns no attributes with that name, neither with the orders name. Taking the only=[‘orders’, ‘packages’] off makes it reflect only a few random tables. Now, when using the inspector that comes with native SQLAlchemy the table actually works (link to documentation): Is this a bug, or am I overlooking something here? Thanks! Installed package versions: Answer SQLAlchemy’s automap extension only reflects tables which have defined primary keys. From the note in the docs: […] for a table to be mapped, it must specify a primary key.

asyncpg.exceptions.DataError: invalid input for query argument $1: 217027642536 (value out of int32 range)

I’m working on a project that uses FastAPI alongside Pydantic and SQLAlchemy. I’m also using encode/databases to manage database connections. But for some weird reason, I get asyncpg.exceptions.DataError: invalid input for query argument $1: 217027642536 (value out of int32 range) anytime I try saving to the database. Here’s what my code looks like: I can’t see anything wrong with this. Someone, please tell me what the hell is going on? Answer You are basically having Integer Overflow, Int32 represents 2^31 – 1, that means it can store the values in range -2147483648 to 2147483648 but

Python flask-sqlalchemy: Do I have to commit session after a query?

I am writing an app in python flask-sqlalchemy with MySQL DB ( and I am wondering if I have to make “db.session.commit() or db.session.rollback()” after GET call, which only query DB . For example: Answer orders = Order.query.all() is a SELECT query that could be extended to include additional filters (WHERE etc.). It doesn’t alter the database, it simply reads values from it. You don’t need to commit on a read for precisely that reason – what would you store other than “I just read this data”? Databases are concerned about this in other ways i.e. access permissions and logs.

Delete sql table rows from python

I can successfully connect my python notebook with sql server this way : Let’s take this sample dataframe : I have a sql table with the same columns, named table_name. Objective : I want to delete in table_name all the rows where a row in df has the same Name, same Date, same Status, and Max = 0 (only in table_name, not necessary in df) I tried the following but it doesn’t work : Could you please help me to understand what is wrong ? Answer Different libraries use different symbols for their placeholders. The one you are using apparently