```json { "action": "final", "content": "Here are the columns in the `olympic_table_tennis_medals_1988_2024` dataset, along with their data types and meanings based on the dataset's structure and sample data:\n\n### Core Data Columns\n* **`year`** (`BIGINT`): The year the Olympic Games took place (e.g., 1988, 1992).\n* **`event`** (`VARCHAR`): The specific table tennis event (e.g., \"Men's singles\", \"Women's doubles\").\n* **`medal`** (`VARCHAR`): The type of medal awarded (Gold, Silver, or Bronze).\n* **`country`** (`VARCHAR`): The country that the medalist represents (e.g., South Korea, Sweden, China).\n* **`medalist`** (`VARCHAR`): The name of the athlete or team who won the medal.\n* **`is_china`** (`BIGINT`): A binary indicator (1 or 0) denoting whether the winning country is China, likely used to easily analyze China's historical dominance in the sport.\n* **`medal_value`** (`BIGINT`): A numerical weight assigned to the medal (e.g., Gold = 3, Silver = 2, Bronze = 1) for scoring or ranking purposes.\n* **`event_type`** (`VARCHAR`): The broad category of the event (e.g., Singles, Doubles, Team).\n* **`gender`** (`VARCHAR`): The gender category for the event (Men, Women, Mixed).\n* **`era`** (`VARCHAR`): A classification of the Olympic time period (e.g., \"Pre-reform (1988-2004)\"), which may relate to rule changes in Olympic table tennis.\n\n### System / Metadata Columns\n* **`_ingestion_timestamp`** (`TIMESTAMP`): The exact date and time when the row was loaded into the database.\n* **`_batch_id`** (`VARCHAR`): An identifier for the specific data load batch.\n* **`_source_file`** (`VARCHAR`): The file path from which the data was originally extracted.\n* **`_source_system`** (`VARCHAR`): The system or method used to ingest the data (e.g., \"api\")." } ```