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398 lines
9.4 KiB
JSON
398 lines
9.4 KiB
JSON
[
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{
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"id": 1,
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"question": "平均每个员工在职多久？",
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"sql": "SELECT AVG(COALESCE(leave_date, CURRENT_DATE) - hire_date) AS average_tenure_days FROM employees",
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"rows": [
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[
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886.2
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]
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],
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"row_count": 1,
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"query_latency_s": 0.0036,
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"expected": [
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[
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886.2
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 2,
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"question": "每个部门有多少在职员工？",
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"sql": "SELECT department, COUNT(*) AS active_count FROM employees WHERE leave_date IS NULL GROUP BY department",
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"rows": [
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[
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"人力资源部",
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4
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],
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[
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"市场部",
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9
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],
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[
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"研发部",
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5
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],
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[
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"财务部",
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6
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],
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[
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"销售部",
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10
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]
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],
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"row_count": 5,
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"query_latency_s": 0.0023,
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"expected": [
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[
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"研发部",
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5
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],
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[
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"销售部",
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10
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],
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[
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"人力资源部",
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4
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],
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[
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"市场部",
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9
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],
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[
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"财务部",
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6
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 3,
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"question": "哪个部门员工平均级别最高？",
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"sql": "SELECT department\nFROM employees\nGROUP BY department\nORDER BY AVG(level) DESC\nLIMIT 1",
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"rows": [
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[
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"销售部"
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]
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],
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"row_count": 1,
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"query_latency_s": 0.0023,
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"expected": [
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[
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"销售部"
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 4,
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"question": "每个部门今年和去年各新入职多少人？",
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"sql": "SELECT department,\n COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM hire_date) = EXTRACT(YEAR FROM CURRENT_DATE)) AS this_year_count,\n COUNT(*) FILTER (WHERE EXTRACT(YEAR FROM hire_date) = EXTRACT(YEAR FROM CURRENT_DATE) - 1) AS last_year_count\nFROM employees\nGROUP BY department\nHAVING this_year_count > 0 OR last_year_count > 0",
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"rows": [],
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"row_count": 0,
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"query_latency_s": 0.0047,
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"expected": [
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[
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"研发部",
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1,
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2
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],
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[
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"销售部",
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2,
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1
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],
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[
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"人力资源部",
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2,
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0
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],
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[
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"市场部",
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0,
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4
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],
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[
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"财务部",
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0,
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1
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]
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],
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"passed": false,
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"comparison": "UndefinedColumn: column \"this_year_count\" does not exist\nLINE 6: HAVING this_year_count > 0 OR last_year_count > 0\n ^\n"
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},
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{
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"id": 5,
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"question": "前年3月到去年5月，A部门平均工资是多少？",
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"sql": "SELECT AVG(s.salary)\nFROM employees e\nJOIN salaries s ON e.emp_id = s.emp_id\nWHERE e.department = '研发部'\n AND s.pay_date BETWEEN make_date(EXTRACT(YEAR FROM CURRENT_DATE)::INTEGER - 2, 3, 1)\n AND make_date(EXTRACT(YEAR FROM CURRENT_DATE)::INTEGER - 1, 5, 31)",
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"rows": [
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[
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27695.833333333332
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]
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],
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"row_count": 1,
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"query_latency_s": 0.0038,
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"expected": [
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[
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27695.83
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 6,
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"question": "去年A部门和B部门平均工资哪个高？",
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"sql": "SELECT e.department, AVG(s.salary) AS average_salary\nFROM employees e\nINNER JOIN salaries s ON e.emp_id = s.emp_id\nWHERE e.department IN ('研发部', '销售部')\n AND s.pay_date >= date_trunc('year', CURRENT_DATE) - INTERVAL '1 year'\n AND s.pay_date < date_trunc('year', CURRENT_DATE)\nGROUP BY e.department",
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"rows": [
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[
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"研发部",
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28569.444444444445
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],
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[
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"销售部",
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29481.55339805825
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]
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],
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"row_count": 2,
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"query_latency_s": 0.0054,
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"expected": [
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[
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"研发部",
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28569.44
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],
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[
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"销售部",
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29481.55
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 7,
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"question": "今年每个级别的员工平均工资是多少？",
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"sql": "SELECT e.level, AVG(s.salary) AS average_salary\nFROM employees e\nJOIN salaries s ON e.emp_id = s.emp_id\nWHERE EXTRACT(YEAR FROM s.pay_date) = EXTRACT(YEAR FROM CURRENT_DATE)\nGROUP BY e.level",
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"rows": [
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[
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3,
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23456.428571428572
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],
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[
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4,
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26248.823529411766
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],
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[
|
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5,
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34534.75
|
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],
|
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[
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6,
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28461.363636363636
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],
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[
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7,
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29935.0
|
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],
|
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[
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8,
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32242.69230769231
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],
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[
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9,
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34559.90566037736
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]
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],
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"row_count": 7,
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"query_latency_s": 0.0016,
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"expected": [
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[
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3,
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23456.43
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],
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[
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8,
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32242.69
|
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],
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[
|
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6,
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28461.36
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],
|
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[
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4,
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26248.82
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],
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[
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9,
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34559.91
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],
|
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[
|
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5,
|
|
34534.75
|
|
],
|
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[
|
|
7,
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29935
|
|
]
|
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 8,
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"question": "入职一年内、一到两年、两到三年的员工，最近一个月平均工资是多少？",
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"sql": "WITH latest_salaries AS (\n SELECT DISTINCT ON (emp_id) emp_id, salary\n FROM salaries\n ORDER BY emp_id, pay_date DESC\n)\nSELECT \n CASE \n WHEN (CURRENT_DATE - e.hire_date)::INTEGER < 365 THEN '入职一年内'\n WHEN (CURRENT_DATE - e.hire_date)::INTEGER BETWEEN 365 AND 729 THEN '一到两年'\n WHEN (CURRENT_DATE - e.hire_date)::INTEGER BETWEEN 730 AND 1094 THEN '两到三年'\n END AS bucket,\n AVG(ls.salary) AS average_latest_salary\nFROM employees e\nJOIN latest_salaries ls ON e.emp_id = ls.emp_id\nWHERE e.leave_date IS NULL\n AND (CURRENT_DATE - e.hire_date)::INTEGER <= 1094\nGROUP BY bucket",
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"rows": [
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[
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"一到两年",
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27683.125
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],
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[
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"两到三年",
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31138.75
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],
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[
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"入职一年内",
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24053.75
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]
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],
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"row_count": 3,
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"query_latency_s": 0.0018,
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"expected": [
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[
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"入职一年内",
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24053.75
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],
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[
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"一到两年",
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27683.12
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],
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[
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"两到三年",
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31138.75
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 9,
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"question": "去年到今年涨薪幅度最大的10位员工是谁？",
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"sql": "WITH employee_salary_avg AS (\n SELECT \n emp_id,\n AVG(salary) FILTER (WHERE EXTRACT(YEAR FROM pay_date) = EXTRACT(YEAR FROM CURRENT_DATE) - 1) AS avg_prev_year,\n AVG(salary) FILTER (WHERE EXTRACT(YEAR FROM pay_date) = EXTRACT(YEAR FROM CURRENT_DATE)) AS avg_curr_year\n FROM salaries\n GROUP BY emp_id\n HAVING AVG(salary) FILTER (WHERE EXTRACT(YEAR FROM pay_date) = EXTRACT(YEAR FROM CURRENT_DATE) - 1) IS NOT NULL\n AND AVG(salary) FILTER (WHERE EXTRACT(YEAR FROM pay_date) = EXTRACT(YEAR FROM CURRENT_DATE)) IS NOT NULL\n)\nSELECT e.name, (esa.avg_curr_year - esa.avg_prev_year) AS raise_amount\nFROM employee_salary_avg esa\nJOIN employees e ON esa.emp_id = e.emp_id\nORDER BY raise_amount DESC\nLIMIT 10",
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"rows": [
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[
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"韩平",
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12000.0
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],
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[
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"韩伟",
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2200.0
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],
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[
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"吕芳",
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2155.0
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],
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[
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"金丽",
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2110.0
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],
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[
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"许华",
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2065.0
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],
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[
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"陶松",
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1975.0
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],
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[
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"周雪",
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1930.0
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],
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[
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"吴敏",
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1885.0
|
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],
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[
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"张霞",
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1840.0
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],
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[
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"赵平",
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1795.0
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]
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],
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"row_count": 10,
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"query_latency_s": 0.0016,
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"expected": [
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[
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"韩平",
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12000
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],
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[
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"韩伟",
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2200
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],
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[
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"吕芳",
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2155
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],
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[
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"金丽",
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2110
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],
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[
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"许华",
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2065
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],
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[
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"陶松",
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1975
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],
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[
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"周雪",
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1930
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],
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[
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"吴敏",
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1885
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],
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[
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"张霞",
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1840
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],
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[
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"赵平",
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1795
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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},
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{
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"id": 10,
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"question": "有没有拖欠工资的情况（某个月还在职却没有发薪）？",
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"sql": "WITH employed_months AS (\n SELECT \n e.emp_id,\n generate_series(\n date_trunc('month', e.hire_date),\n date_trunc('month', COALESCE(e.leave_date, CURRENT_DATE)),\n interval '1 month'\n ) AS month\n FROM employees e\n)\nSELECT \n em.emp_id,\n to_char(em.month, 'YYYY-MM') AS month\nFROM employed_months em\nLEFT JOIN salaries s \n ON em.emp_id = s.emp_id \n AND em.month = date_trunc('month', s.pay_date)\nWHERE s.emp_id IS NULL",
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"rows": [
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[
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17,
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"2026-01"
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]
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],
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"row_count": 1,
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"query_latency_s": 0.0156,
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"expected": [
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[
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17,
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"2026-01"
|
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]
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],
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"passed": true,
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"comparison": "independent Python reference matched"
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}
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] |