dosubot[bot] commented on issue #40131:
URL: https://github.com/apache/superset/issues/40131#issuecomment-4455388474

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   This is a confirmed bug. The issue is in `get_time_partition_column` at 
[line 
365](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/db_engine_specs/bigquery.py#L365)
 where the table reference is constructed as a 2-part string:
   
   ```python
   bq_table = client.get_table(f"{table.schema}.{table.table}")
   ```
   
   This omits `table.catalog` (which maps to the BigQuery project ID), so the 
client falls back to the credentials' default project — causing the 404 for 
cross-project datasets.
   
   Other methods in the same file handle this correctly. For example, 
`df_to_sql` uses the full 3-part reference via `str(table)` 
[[1]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/db_engine_specs/bigquery.py#L453),
 and `get_max_partition_id` constructs a qualified path including the catalog 
when present 
[[2]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/db_engine_specs/bigquery.py#L324).
   
   The fix would be to include the catalog in the table reference when 
available:
   
   ```python
   table_ref = (
       f"{table.catalog}.{table.schema}.{table.table}"
       if table.catalog
       else f"{table.schema}.{table.table}"
   )
   bq_table = client.get_table(table_ref)
   ```
   
   A related cross-project issue was previously addressed in PR #34360 for 
SQLAlchemy table construction 
[[3]](https://github.com/apache/superset/pull/34360), but that fix didn't cover 
this specific BigQuery client API call path. A maintainer-suggested workaround 
in the meantime is to create a virtual dataset with a fully-qualified table 
reference [[4]](https://github.com/apache/superset/issues/33465):
   
   ```sql
   SELECT `col` FROM `projectId`.`dataset`.`table_name`
   ```
   
   though this has the downside of Superset running predicates as subqueries.
   
   
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