Alex Noonan
02/15/2024, 10:03 AMScout
02/15/2024, 10:03 AMdagster._core.errors.DagsterUserCodeLoadError
, indicates that there was a problem loading Dagster definitions from user code during the initialization of a gRPC server in Dagster. This error is a type of DagsterUserCodeExecutionError
, which is raised when there is an issue with user code that Dagster is attempting to execute. The specific cause of the error is a TypeError
that occurred because an unexpected keyword argument buffer_size
was passed to the Emitter.__init__()
method. This suggests that there is a mismatch between the expected arguments of the Emitter
class constructor and the arguments that were provided. The stack trace shows that the error originated from the dbt.tracking
module, which is part of the dbt
(data build tool) package. It seems that the TimeoutEmitter
class, which is likely a subclass of Emitter
, is being initialized with an argument that it does not expect. To resolve this issue, you should: 1. Check the version of the dbt
package you are using and ensure it is compatible with the version of dagster_dbt
you have installed. It's possible that there is a version incompatibility causing this error. 2. Review the code in the dbt.tracking
module, particularly the TimeoutEmitter
class, to understand what arguments it expects during initialization. 3. If you have recently upgraded any packages, consider reverting to earlier versions that were known to work together without issues. If you continue to experience issues after checking these points, you may need to seek further assistance from the Dagster community or support channels, as the error is occurring within the dbt
package, which is integrated with Dagster through the dagster_dbt
library.Alex Noonan
02/15/2024, 10:26 AMScout
02/15/2024, 10:26 AMdagster._core.errors.DagsterUserCodeLoadError
indicates that there was an issue loading user code in Dagster. The specific problem is a TypeError
related to the Emitter.__init__()
method receiving an unexpected keyword argument buffer_size
. This error is occurring within the dbt.tracking
module, which suggests that there might be a compatibility issue between the versions of dbt
and dagster_dbt
you are using. Even though you have updated all your dbt dependencies and Dagster version, the error persists, which means the issue might not be solely related to the version mismatch. Here are some steps you can take to troubleshoot this issue: 1. Check for Breaking Changes: Ensure that there are no breaking changes in the versions of dbt
and dagster_dbt
that you have updated to. Sometimes, newer versions introduce changes that are not backward compatible. 2. Review the dbt
and dagster_dbt
Release Notes: Look for any notes on changes to the Emitter
class or its initialization parameters in the release notes of dbt
and dagster_dbt
. 3. Check for Open Issues: Look for any open issues or discussions in the Dagster and dbt repositories that might be related to this error. Other users might have encountered the same problem, and there might be a discussion about a workaround or a fix. 4. Revert to Known Good Configuration: If you had a working set of versions before the update, consider reverting to those versions to get your environment back to a working state while you investigate the issue further. 5. Isolate the Problem: Try to isolate the problem by creating a minimal Dagster setup that only includes the dbt integration. This can help determine if the issue is with the integration itself or something specific in your codebase. 6. Seek Support: If you are unable to resolve the issue, consider reaching out to the Dagster community or support channels for assistance. Provide them with the details of the error, the versions of dbt
and dagster_dbt
you are using, and any other relevant information. Remember to ensure that your environment is clean and that there are no residual files from previous installations that might be causing conflicts. It's also a good practice to use virtual environments to manage dependencies and avoid version conflicts.