QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    What is the first name of the driver who transported shipment id 1028? shipment id 1028 refers to ship_id = 1028

    【Evidence】
    shipment id 1028 refers to ship_id = 1028

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = 1028
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    List out the state of driver who transported the shipment id 1055. shipment id 1055 refers to ship_id = 1055

    【Evidence】
    shipment id 1055 refers to ship_id = 1055

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.state FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1055'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    State the address of drivers who transported the shipment with weight greater than 50000 pounds. shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000

    【Evidence】
    shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.address FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id GROUP BY T2.driver_id HAVING SUM(T1.weight) > 50000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    Give the full name of driver who transported the items on 3/2/2016. on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name

    【Evidence】
    on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_date = '2016-03-02'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    What is the average annual revenue of customers who have shipment weight of less than 65000 pounds? weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue)

    【Evidence】
    weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT AVG(T1.annual_revenue) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T2.weight < 65000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    What is the percentage of wholesaler customers who have shipment weight of not greater than 70000 pounds? "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100

    【Evidence】
    "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(SUM(CASE WHEN T2.weight < 70000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type = 'wholesaler'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    What is the last name of driver who transported shipment id 1088? shipment id 1088 refers to ship_id = 1088

    【Evidence】
    shipment id 1088 refers to ship_id = 1088

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1088'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    Give the phone of drivers who transported shipment weight of greater than 20000 pounds. shipment weight of greater than 20000 pounds refers to Sum(weight) > 20000

    【Evidence】
    shipment weight of greater than 20000 pounds refers to Sum(weight) > 20000

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.phone FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id GROUP BY T2.driver_id HAVING SUM(T1.weight) > 20000
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shipping
【Schema】
# Table: driver
[
(driver_id:INTEGER, Primary Key, Examples: [20, 21, 22]),
(first_name:TEXT, Examples: [Sue, Andrea, Roger]),
(last_name:TEXT, Examples: [Newell, Simons, McHaney]),
(address:TEXT, Examples: [268 Richmond Ave, 3574 Oak Limb Cv, 1839 S Orleans St]),
(city:TEXT, Examples: [Memphis]),
(state:TEXT, Examples: [TN]),
(zip_code:INTEGER, Examples: [38106, 38135, 38118]),
(phone:TEXT, Examples: [(901) 774-6569, (901) 384-0984, (901) 948-1043])
]
# Table: customer
[
(cust_id:INTEGER, Primary Key, Examples: [193, 304, 314]),
(cust_name:TEXT, Examples: [Advanced Fabricators]),
(annual_revenue:INTEGER, Examples: [39588651, 17158109, 47403613]),
(cust_type:TEXT, Examples: [manufacturer, wholesaler, retailer]),
(address:TEXT, Examples: [5141 Summit Boulevard]),
(city:TEXT, Examples: [West Palm Beach, Salt Lake City, Council Bluffs]),
(state:TEXT, Examples: [FL, UT, IA]),
(zip:REAL, Examples: [33415.0, 84107.0, 51503.0]),
(phone:TEXT, Examples: [(561) 683-3535, (801) 262-4864, (712) 366-4929])
]
# Table: truck
[
(truck_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(make:TEXT, Examples: [Peterbilt, Mack, Kenworth]),
(model_year:INTEGER, Examples: [2005, 2006, 2007])
]
# Table: shipment
[
(ship_id:INTEGER, Primary Key, Examples: [1000, 1001, 1002]),
(cust_id:INTEGER, Examples: [3660, 2001, 1669]),
(weight:REAL, Examples: [3528.0, 11394.0, 8712.0]),
(truck_id:INTEGER, Examples: [1, 2, 3]),
(driver_id:INTEGER, Examples: [23, 27, 21]),
(city_id:INTEGER, Examples: [137, 186, 268]),
(ship_date:TEXT, Examples: [2016-01-08, 2016-01-18, 2016-01-19])
]
# Table: city
[
(city_id:INTEGER, Primary Key, Examples: [100, 101, 102]),
(city_name:TEXT, Examples: [Union City, Huntington Park, Passaic]),
(state:TEXT, Examples: [New Jersey, California, New York]),
(population:INTEGER, Examples: [67088, 61348, 67861]),
(area:REAL, Examples: [1.3, 3.0, 3.1])
]
【Foreign keys】
shipment.cust_id=customer.cust_id
shipment.city_id=city.city_id
shipment.driver_id=driver.driver_id
shipment.truck_id=truck.truck_id

    【Question】
    What is the brand and model of truck used in shipment id 1055? shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year

    【Evidence】
    shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.make, T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1055'