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"results": [
{
"task_id": 1,
"task_name": "sql-task-1",
"difficulty": "easy",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "SELECT COUNT(*) AS total_orders\nFROM orders\nWHERE STRFTIME('%Y', order_date) = '2024' AND status = 'completed'",
"solved": true
},
{
"task_id": 2,
"task_name": "sql-task-2",
"difficulty": "medium",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "SELECT c.first_name, c.last_name, SUM(o.total_amount) AS total_revenue\nFROM customers c\nJOIN orders o ON c.customer_id = o.customer_id\nWHERE o.status = 'completed'\nGROUP BY c.customer_id, c.first_name, c.last_name\nORDER BY total_revenue DESC\nLIMIT 5;",
"solved": true
},
{
"task_id": 3,
"task_name": "sql-task-3",
"difficulty": "hard",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "WITH category_revenue AS (\n SELECT p.category, SUM(o.total_amount) AS total_revenue\n FROM orders o\n JOIN products p ON o.product_id = p.product_id\n WHERE o.status = 'completed'\n GROUP BY p.category\n)\nSELECT category, total_revenue, RANK() OVER (ORDER BY total_revenue DESC) AS revenue_rank\nFROM category_revenue\nORDER BY revenue_rank ASC;",
"solved": true
},
{
"task_id": 4,
"task_name": "sql-task-4",
"difficulty": "medium",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "SELECT \n p.category, \n AVG(p.price) AS avg_price\nFROM \n products p\nGROUP BY \n p.category\nHAVING \n COUNT(p.product_id) > 2",
"solved": true
},
{
"task_id": 5,
"task_name": "sql-task-5",
"difficulty": "hard",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "SELECT customer_id, first_name \nFROM customers \nWHERE customer_id IN (\n SELECT customer_id \n FROM orders \n WHERE product_id IN (\n SELECT product_id \n FROM products \n WHERE category = 'Electronics'\n )\n INTERSECT\n SELECT customer_id \n FROM orders \n WHERE product_id IN (\n SELECT product_id \n FROM products \n WHERE category = 'Clothing'\n )\n);",
"solved": true
},
{
"task_id": 6,
"task_name": "sql-task-6",
"difficulty": "expert",
"best_reward": 0.9,
"attempts": 5,
"final_sql": "SELECT \n STRFTIME('%Y-%m', order_date) AS month,\n SUM(total_amount) AS total_revenue,\n LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)) AS prev_revenue,\n ROUND(COALESCE((SUM(total_amount) - LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date))) / \n LAG(SUM(total_amount)) OVER (ORDER BY STRFTIME('%Y-%m', order_date)), 0) * 100, 2) AS growth_pct\nFROM orders\nWHERE STRFTIME('%Y', order_date) = '2024' AND status = 'completed'\nGROUP BY STRFTIME('%Y-%m', order_date)\nORDER BY STRFTIME('%Y-%m', order_date)",
"solved": false
},
{
"task_id": 7,
"task_name": "sql-task-7",
"difficulty": "expert",
"best_reward": 1.0,
"attempts": 1,
"final_sql": "WITH ranked_orders AS (\n SELECT \n c.city,\n p.product_name,\n SUM(o.quantity) AS total_quantity,\n RANK() OVER (PARTITION BY c.city ORDER BY SUM(o.quantity) DESC, p.product_id ASC) AS rank\n FROM \n customers c\n JOIN \n orders o ON c.customer_id = o.customer_id\n JOIN \n products p ON o.product_id = p.product_id\n WHERE \n o.status = 'completed'\n GROUP BY \n c.city, p.product_name, p.product_id\n)\nSELECT \n city,\n product_name,\n total_quantity\nFROM \n ranked_orders\nWHERE \n rank = 1\nORDER BY \n city ASC;",
"solved": true
},
{
"task_id": 8,
"task_name": "sql-task-8",
"difficulty": "expert",
"best_reward": 0.949,
"attempts": 5,
"final_sql": "SELECT \n c.customer_id, \n c.first_name, \n c.last_name, \n SUM(CASE WHEN STRFTIME('%Y', o.order_date) = '2024' AND STRFTIME('%m', o.order_date) BETWEEN '01' AND '06' THEN o.total_amount ELSE 0 END) AS h1_revenue,\n SUM(CASE WHEN STRFTIME('%Y', o.order_date) = '2024' AND STRFTIME('%m', o.order_date) BETWEEN '07' AND '12' THEN o.total_amount ELSE 0 END) AS h2_revenue\nFROM \n customers c\n JOIN orders o ON c.customer_id = o.customer_id\nWHERE \n o.status = 'completed'\nGROUP BY \n c.customer_id, c.first_name, c.last_name\nHAVING \n h2_revenue > h1_revenue\nORDER BY \n h2_revenue DESC",
"solved": false
}
],
"avg_score": 0.981,
"tasks_solved": 6
} |