I have the two following tables. Users Table id name email 32 Hello e@mail.com 23 World p@mail.com Sales Table id SellerId CustomerId Amount 4 32 23 25 I want to join the tables in the following way to get this result. Here I want to only get the entries where customer id is equal to 23. Id SellerId SellerName SellerEmail
Tag: sqlalchemy
Python3 Can’t load plugin: sqlalchemy.dialects:mysql.pymysql
I’m trying to connect to my database with sqlAlchemy and get the error Can’t load plugin: sqlalchemy.dialects:mysql.pymysql. The script worked before and I didn’t change anything, tho I can’t connect to the db. I’m importing the libraries: My connection: sqlAlchemy and pymysql are installed. Using Ubuntu 20.04, python 3.8.5 and sqlalchemy Version 1.3.12. Complete traceback: Answer Okay, just simply removing
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 relationship “one-to-many” with another column in some another table (foreign key). But actually in this foreign key stored not single Integer value, but string
SQLAlchemy require primary key to be generated by program
When defining a table, you define one column as primary_key=True. As shown in the tutorial, SQLAlchemy will automatically create an ID for an item, even when it is not supplied by the user. The primary_key=True also automatically sets nullable=False. Is there a way that I can set up the Primary Key so that it is required, but is not filled
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’ve been using bulk_save_objects for this and it’s worked great. However now I have to introduce a history to these records being saved, which
SQLAlchemy SSL SYSCALL timeout coping mechanism
I’m using a combination of SQLAlchemy and Postgres. Once every while my database cluster replaces a failing node, circle of life I guess. I was under the impression that by configuring my engine in the following manner: my connections would be timing out on queries >30s, and my connections would timeout after trying for 10 seconds. What I’m noticing in
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: I need to extract all the tasksusers (from TaskUser) where the id_task is in a specific list of Task ids. For example, all the taskusers where id_task is in (1,2,3,4,5) Once I get the result, I do some stuff and use some conditions. When
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 models.py: Code with warning: Warning itself: Why is there any warning if I don’t bind any MetaData anywhere? And I also cannot reach breakpoint at the mentioned
Why am I getting AmbiguousForeignKeysError?
I’ve run into an issue after following the SqlAlchemy guide here. Given the following simplified module: That I am attempting to build a query using: Why am I getting the following error? I was pretty sure I’d specified the two foreign key relationships? Update: I’ve tried the following combination as I think has been suggested in the comments but got
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 has ~800 rows). If I check the SF History, I can see that the queries apparently ran without issue: If I pull the