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[Bug] Support complex Array data types for macro get_columns_in_relation #310

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jdistler opened this issue Sep 18, 2024 · 3 comments · May be fixed by #311
Open
2 tasks done

[Bug] Support complex Array data types for macro get_columns_in_relation #310

jdistler opened this issue Sep 18, 2024 · 3 comments · May be fixed by #311
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@jdistler
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jdistler commented Sep 18, 2024

Is this a new bug?

  • I believe this is a new bug
  • I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

If a given column is a complex ARRAY type such as ARRAY(VARCHAR(16777216)), the macro get_columns_in_relation raises an error.

Expected Behavior

We can better handle this case to not raise an error.

Steps To Reproduce

Do a dbt run on a model which calls adapter.get_columns_in_relation() on a table with a column of type ARRAY(VARCHAR(16777216)).

Relevant log output

Could not interpret data_type "ARRAY(VARCHAR(16777216))": could not convert "VARCHAR(16777216" to an integer

Environment

- OS:
- Python: 3.11.4
- dbt-adapters: 1.6.1

Additional Context

Relevant code that can more gracefully handle this case -

https://github.com/dbt-labs/dbt-adapters/blob/v1.6.1/dbt/adapters/base/column.py#L142-L146

@jdistler jdistler added bug Something isn't working triage labels Sep 18, 2024
@jdistler jdistler linked a pull request Sep 18, 2024 that will close this issue
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@jdistler
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Note the similarities with this other issue, in general this area of the logic is very brittle and should be made more flexible -

dbt-labs/dbt-snowflake#1098

@amychen1776
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amychen1776 commented Sep 26, 2024

Hello @jdistler - are you coming across this on Snowflake?

@jamesmorris23
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jamesmorris23 commented Oct 15, 2024

Hi all – 

I'm running into this currently while attempting to build an incremental model with vector embeddings for use in a simple RAG pipeline in Snowflake. Is there any update on prioritization of a fix here or workaround in the short term. It's untenable and wasteful to not run models like these in an incremental fashion.

Thanks in advance! :)

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3 participants