I need to check for duplicate and near-duplicate rows in the table_tennis_sept2022 dataset. Let me start by examining the structure and then look for duplicates. ```json { "action": "tool_call", "reasoning": "First, I'll check for exact duplicate rows by grouping on all meaningful columns (excluding metadata columns like _ingestion_timestamp, _batch_id, etc.) and finding rows that appear more than once.", "tool": "query_sql", "args": { "sql": "SELECT Date, Time, Player1, Player2, Sets_P1, Sets_P2, P1_G1, P2_G1, P1_G2, P2_G2, P1_G3, P2_G3, P1_G4, P2_G4, P1_G5, P2_G5, HomeWinner, COUNT(*) as duplicate_count FROM raw.table_tennis_sept2022 GROUP BY Date, Time, Player1, Player2, Sets_P1, Sets_P2, P1_G1, P2_G1, P1_G2, P2_G2, P1_G3, P2_G3, P1_G4, P2_G4, P1_G5, P2_G5, HomeWinner HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC", "purpose": "Find exact duplicate rows based on all match data columns (excluding technical metadata)" } } ```