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[14/n][dagster-airbyte] Implement materialization method for AirbyteCloudWorkspace #26559
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specs=[ | ||
spec | ||
spec.merge_attributes( |
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We add the translator to the metadata to reuse it in the materialization process.
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I know the pattern predates this PR, but I feel like it's a pretty big antipattern. Perhaps I'm missing something, but I also don't see a subprocess actually being called anywhere? I don't see why we need to attach the translator to access it, why can't the translator just be an argument that you need to pass?
I guess the argument is that we do the same thing for dbt, likely fivetran, etc. but I think it's a pretty rough pattern that stretches our metadata concept beyond what's intended.
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Also, kinda weird that we don't do this in the spec loader? Feels like there's a potential footgun there if a user for whatever reason decides to use the spec loader then provide to a multi asset, won't contain the translator
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Also, kinda weird that we don't do this in the spec loader? Feels like there's a potential footgun there if a user for whatever reason decides to use the spec loader then provide to a multi asset, won't contain the translator
That's a good call. I agree that it should be set at the spec loader level. Currently, it is set at the asset spec level for dlt, but not for dbt and Sling - I will open a ticket about that.
I know the pattern predates this PR, but I feel like it's a pretty big antipattern. Perhaps I'm missing something, but I also don't see a subprocess actually being called anywhere? I don't see why we need to attach the translator to access it, why can't the translator just be an argument that you need to pass?
I think the main argument here - and for all other integrations - is how XWorkspace.sync_and_poll(...) is expected to be called, which is only in the context of the asset decorator.
Passing the translator to both the decorator and sync_and_poll function is a bit awkward, and would most likely be error-prone.
@airbyte_assets(
connection_id="airbyte_connection_id",
name="airbyte_connection_id",
group_name="airbyte_connection_id",
workspace=airbyte_workspace,
dagster_airbyte_translator=CustomDagsterAirbyteTranslator(),
)
def airbyte_connection_assets(context: dg.AssetExecutionContext, airbyte: AirbyteCloudWorkspace):
yield from airbyte.sync_and_poll(
context=context,
dagster_airbyte_translator=CustomDagsterAirbyteTranslator() # potential errors here if another translator is passed
)
That said, I agree that leveraging the metadata concept for that is kinda weird. I will open a ticket for that as well.
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Moved to spec loader in 40057f9
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FWIW the translator in metadata felt like anti-pattern when implementing the dlt integration too, but at that point the goal was trying to be consistent with dbt, and as Maxime said, specifying it in both locations is not ideal. Less ergonomic for the integration maintainer, more ergonomic for the user.
Just want to share that I have the same sentiment.
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I don't love the pattern but I agree that to be consistent we probably want to add the translator to the spec metadata.
I think we need to be consistent and also do it in the spec loader.
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…n specs loader (#26587) ## Summary & Motivation Following [this discussion](#26559 (comment)) for Airbyte Cloud, we add the translator as metadata as the spec loader level ## How I Tested These Changes Same tests with BK
python_modules/libraries/dagster-airbyte/dagster_airbyte_tests/experimental/test_resources.py
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python_modules/libraries/dagster-airbyte/dagster_airbyte_tests/experimental/test_resources.py
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python_modules/libraries/dagster-airbyte/dagster_airbyte_tests/experimental/conftest.py
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a few nits but overall lgtm. The broader discussion regarding translator in metadata is outside the scope of this PR.
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a few nits but overall lgtm. The broader discussion regarding translator in metadata is outside the scope of this PR.
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Summary & Motivation
This PR implements
AirbyteCloudWorkspace.sync_and_poll
, the materialization method for Airbyte Cloud assets. This method:AirbyteCloudClient.sync_and_poll
AirbyteCloudClient.sync_and_poll
and generates the asset materializationsMaterializeResult
for each expected asset andAssetMaterialization
for each unexpected assetCan be leveraged like:
How I Tested These Changes
Additional tests with BK
Changelog
[dagster-airbyte] Airbyte Cloud assets can now be materialized using the
AirbyteCloudWorkspace.sync_and_poll(…)
method in the definition of a@airbyte_assets
decorator.