How would you join two large datasets with a many-to-many relationship efficiently?
Use the relationship table to connect the datasets and ensure duplicate relationship rows do not inflate the results. Return every row from the first dataset, including rows with no matches.
dataset_aa_id, a_name, matched_b_count, and total_measuredataset_a rows with zero valuesa_id ascending| Column | Type | Description |
|---|---|---|
| a_idPK | INT | Primary identifier for the first dataset |
| a_name | VARCHAR(100) | Name associated with the first dataset row |
| Column | Type | Description |
|---|---|---|
| b_idPK | INT | Primary identifier for the second dataset |
| b_name | VARCHAR(100) | Name associated with the second dataset row |
| measure | DECIMAL(12,2) | Numeric value to aggregate for matched rows |
| Column | Type | Description |
|---|---|---|
| link_idPK | INT | Primary identifier for a relationship row |
| a_id | INT | Referenced identifier from dataset_a |
| b_id | INT | Referenced identifier from dataset_b |