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 area of the destination city of shipment No.1346? shipment no. 1346 refers to ship_id = 1346

    【Evidence】
    shipment no. 1346 refers to ship_id = 1346

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

SQL: SELECT T2.area FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1346'
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】
    Provide the weight of the shipment to U-haul Center Of N Syracuse on 2016/9/21. "U-haul Center Of N Syracuse" is the cust_name; on 2016/9/21 refers to ship_date = '2016/09/21'

    【Evidence】
    "U-haul Center Of N Syracuse" is the cust_name; on 2016/9/21 refers to ship_date = '2016/09/21'

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

SQL: SELECT T1.weight FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.cust_name = 'U-haul Center Of N Syracuse' AND T1.ship_date = '2016-09-21'
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】
    Who was the driver of truck no.3 on 2016/9/19? Tell the full name. truck no. 3 refers to truck_id = 3; on 2016/9/19 refers to ship_date = '2016-09-19'; full name refers to first_name, last_name

    【Evidence】
    truck no. 3 refers to truck_id = 3; on 2016/9/19 refers to ship_date = '2016-09-19'; 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 T3.first_name, T3.last_name FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T1.truck_id = '3' AND T2.ship_date = '2016-09-19'
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】
    Calculate the population density of the city as the destination of shipment no.1369. shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population)

    【Evidence】
    shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population)

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

SQL: SELECT T2.area / T2.population FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1369'
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 number of shipments done by the Kenworth trucks? "Kenworth" is the make of truck; average = Divide (Count(ship_id where make = 'Kenworth'), Count(truck_id where make = 'Kenworth))

    【Evidence】
    "Kenworth" is the make of truck; average = Divide (Count(ship_id where make = 'Kenworth'), Count(truck_id where make = 'Kenworth))

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

SQL: SELECT CAST(COUNT(T2.ship_id) AS REAL) / COUNT(DISTINCT T1.truck_id) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Kenworth'
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】
    How many pounds did Sue Newell transport during her first shipment? first shipment refers to Min(ship_date); pounds refers to weight

    【Evidence】
    first shipment refers to Min(ship_date); pounds refers to weight

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

SQL: SELECT T1.weight FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Sue' AND T2.last_name = 'Newell' ORDER BY T1.ship_date ASC LIMIT 1
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】
    To whom did the company transport its heaviest shipment? heaviest shipment refers to Max(weight)

    【Evidence】
    heaviest shipment refers to Max(weight)

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

SQL: SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id ORDER BY T1.weight DESC LIMIT 1
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 full name of the driver who transported the first shipment of the company? first shipment of the company refers to Min(ship_date); full name refers to first_name, last_name

    【Evidence】
    first shipment of the company refers to Min(ship_date); 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 ORDER BY T1.ship_date ASC LIMIT 1
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】
    In total, how many shipments were transported to Olympic Camper Sales Inc? "Olympic Camper Sales Inc" is the cust_name

    【Evidence】
    "Olympic Camper Sales Inc" is the cust_name

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

SQL: SELECT COUNT(T2.ship_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'Olympic Camper Sales Inc'