What causes DbtAdapterTimeout?

A dbt model's SQL query exceeded the warehouse query timeout setting. The warehouse was overloaded with concurrent queries and queued the dbt job past its connection timeout. A network interruption between dbt and the data warehouse caused the connection to hang. The dbt profile's connect_timeout setting is too low for the warehouse's startup time

How do I fix DbtAdapterTimeout?

Step 1: Check the dbt run logs for which model timed out and the elapsed time before the error.. Step 2: Increase the query timeout in the dbt profile: for Snowflake, set query_tag and increase the warehouse query_timeout; for BigQuery, set job_execution_timeout.. Step 3: Optimize the timing-out model — add incremental logic, partitioning, or clustering to reduce query time.. Step 4: Check warehouse resource utilization at the time of failure — scale up if the warehouse was at capacity.. Step 5: Retry the failed model: dbt run --select failed_model_name --full-refresh.

High severitytimeout

Power BI Refresh Error:
DbtAdapterTimeout

What does this error mean?

A dbt adapter call to the database warehouse timed out before receiving a response, causing the dbt run to fail.

Common causes

1A dbt model's SQL query exceeded the warehouse query timeout setting
2The warehouse was overloaded with concurrent queries and queued the dbt job past its connection timeout
3A network interruption between dbt and the data warehouse caused the connection to hang
4The dbt profile's connect_timeout setting is too low for the warehouse's startup time

How to fix it

1Step 1: Check the dbt run logs for which model timed out and the elapsed time before the error.
2Step 2: Increase the query timeout in the dbt profile: for Snowflake, set query_tag and increase the warehouse query_timeout; for BigQuery, set job_execution_timeout.
3Step 3: Optimize the timing-out model — add incremental logic, partitioning, or clustering to reduce query time.
4Step 4: Check warehouse resource utilization at the time of failure — scale up if the warehouse was at capacity.
5Step 5: Retry the failed model: dbt run --select failed_model_name --full-refresh.

Frequently asked questions

How do I set query timeout in dbt profiles for Snowflake?

Add query_tag to the Snowflake profile and use an ALTER SESSION SET STATEMENT_TIMEOUT_IN_SECONDS = N; pre-hook in the problematic model, or set it globally in the Snowflake user/role parameters.

Does dbt retry timed-out models automatically?

No — dbt does not retry failed models by default. Use dbt retry (dbt 1.6+) to re-run only the failed nodes from the previous invocation without re-running successful models.