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Hi, is there any way to debug python models from dbt-cloud in an efficient way, such as command line outputs?
When processing a Snowflake table with 40k rows and 1.5 G of Data (strings in some of the columns) I constantly run into the memory exhaust error and cannot solve that with scaling the warehouse or making it to snowpark-type. Debugging is almost hopeless if you can't get access to the data formats of the variables in the code.
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Hi, is there any way to debug python models from dbt-cloud in an efficient way, such as command line outputs?
When processing a Snowflake table with 40k rows and 1.5 G of Data (strings in some of the columns) I constantly run into the memory exhaust error and cannot solve that with scaling the warehouse or making it to snowpark-type. Debugging is almost hopeless if you can't get access to the data formats of the variables in the code.
Thanks for any input.
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