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The project table has 3 boolean fields indicating whether a particular project was found in each of the sources. These need to be populated as a post-processing step.
In the project table the unique_data_id column represents where the project was first found, but if a later source has the same record it won't be reflected in the project data. Since the 'subsidies' table always has a record for each project regarldess of where it was first found, use the 'subsidies' table to identify which data sources each project was found in. Construct a sql query and python code that returns a unique list of nlihc_ids and returns true for each column if there was at least one matching unique_data_id for that data source. Bulk update the project table with this data.
The text was updated successfully, but these errors were encountered:
The project table has 3 boolean fields indicating whether a particular project was found in each of the sources. These need to be populated as a post-processing step.
In the project table the
unique_data_id
column represents where the project was first found, but if a later source has the same record it won't be reflected in the project data. Since the 'subsidies' table always has a record for each project regarldess of where it was first found, use the 'subsidies' table to identify which data sources each project was found in. Construct a sql query and python code that returns a unique list of nlihc_ids and returns true for each column if there was at least one matching unique_data_id for that data source. Bulk update the project table with this data.The text was updated successfully, but these errors were encountered: