Josh Dunkley
03/18/2025, 3:12 PMMarvin
03/18/2025, 3:12 PMPREFECT_SQLALCHEMY_POOL_SIZE
. This controls the size of the connection pool used by SQLAlchemy. If not set, the default SQLAlchemy pool size will be used.
For more detailed configuration options, you can refer to the Prefect settings reference.
If you're configuring this in a Python script, you might want to ensure that your environment variables are set before initializing your Prefect flow or task that uses the SQLAlchemy connection.
If you have further questions on setting this up in your specific environment, feel free to ask!Josh Dunkley
03/18/2025, 8:19 PMTypeError: connect() got an unexpected keyword argument 'pool_size'
I get this issue when trying to specify "pool_size" in the connect_args section of a SQLAlchemyConnector blockMarvin
03/18/2025, 8:20 PMTypeError
you're encountering is due to the incorrect usage of the pool_size
argument in the connect_args
section of the SQLAlchemyConnector
block. The connect_args
parameter is intended for specific connection arguments that are passed directly to the database driver, and pool_size
is not one of these arguments.
To configure the connection pool size, you should set it up when creating the SQLAlchemy engine itself, not through connect_args
. Typically, you can configure this directly in the SQLAlchemy engine creation using the create_engine
function, where you can specify pool_size
as an argument.
Here's a general approach to configuring the pool size:
python
from sqlalchemy import create_engine
engine = create_engine(
'your_database_url',
pool_size=10, # specify your desired pool size
max_overflow=5 # optionally, specify the max overflow
)
For more information on using SQLAlchemyConnector
and configuring connection pools, you can refer to the Prefect SQLAlchemy integration documentation.
If you need further assistance with setting this up in your specific environment, feel free to ask!Josh Dunkley
03/18/2025, 8:23 PMMarvin
03/18/2025, 8:23 PMpool_size
directly within the SQLAlchemyConnector
block itself in Prefect. However, you can still control the pool size through environment variables or by configuring the SQLAlchemy engine directly when you create it.
For configuring the pool size, you can use the environment variable PREFECT_SQLALCHEMY_POOL_SIZE
. This environment variable is used to control the pool size for SQLAlchemy when using Prefect.
If you need to configure this directly in your Prefect setup, you might need to set this environment variable before running your Prefect flow:
bash
export PREFECT_SQLALCHEMY_POOL_SIZE=10
For more details, you might want to check the Prefect settings reference.
If you have further questions on configuring this in your specific environment or need more assistance, feel free to ask!Josh Dunkley
03/18/2025, 8:26 PMsocket.gaierror: [Errno -2] Name or service not known
I get this error when trying to query data with the sqlalchemy connector blockMarvin
03/18/2025, 8:26 PMsocket.gaierror: [Errno -2] Name or service not known
error typically indicates that there is an issue with the DNS resolution of the database hostname you are trying to connect to. This can happen if the hostname is incorrect, the DNS server is unreachable, or the network configuration is incorrect.
Here are a few steps you can take to troubleshoot and resolve this issue:
1. Verify Database Hostname: Ensure that the hostname specified in your connection string is correct. Double-check for any typos or incorrect domain names.
2. Check Network Configuration: Make sure that your network settings are correct and that you have access to the network where the database is hosted.
3. Test DNS Resolution: You can test if the hostname resolves correctly using command-line tools like nslookup
or ping
to see if they resolve to the correct IP address.
4. Firewall and Security Groups: Ensure that any firewalls or security groups allow traffic to the database server on the required port.
5. Prefect SQLAlchemy Configuration: Double-check your Prefect SQLAlchemy block configuration to ensure it is set up correctly, as per the Prefect SQLAlchemy integration documentation.
If the issue persists after these checks, it might be helpful to consult with your network administrator or database administrator to ensure there are no further network-related issues. If you need more assistance with Prefect-specific configurations, feel free to ask!