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】
    Determine the number of shipments delivered by Andrea Simons to Huntsville in 2016. "Huntsville" is the city_name; in 2016 refers to Cast(ship_date AS DATE) = 2016; number of shipment refers to Count(ship_id)

    【Evidence】
    "Huntsville" is the city_name; in 2016 refers to Cast(ship_date AS DATE) = 2016; number of shipment refers to Count(ship_id)

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

SQL: SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T3.first_name = 'Andrea' AND T3.last_name = 'Simons' AND T2.city_name = 'Huntsville' AND STRFTIME('%Y', T1.ship_date) = '2016'
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 shipments does each driver deliver per month on average? shipment data was for 24 months in 2016 and 2017 respectively; deliver per month on average refers to Divide(Count(ship_id), Multiply (24, Count(driver_id)))

    【Evidence】
    shipment data was for 24 months in 2016 and 2017 respectively; deliver per month on average refers to Divide(Count(ship_id), Multiply (24, Count(driver_id)))

    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(*) AS REAL) / (12 * COUNT(T2.driver_id)) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id
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】
    Among all shipments delivered by Sue Newel, identify the percentage of shipments that were placed by Autoware Inc. "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100

    【Evidence】
    "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_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 T3.cust_name = 'Autoware Inc' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.first_name = 'Sue' AND T2.last_name = 'Newell'
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 cities which belong to New Jersey have transported weight greater than 20000? "New Jersey" is the state; transported weight greater than 20000 refers to Sum(weight) > 20000

    【Evidence】
    "New Jersey" is the state; transported weight greater than 20000 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 COUNT(*) FROM ( SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'New Jersey' GROUP BY T2.city_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】
    How many cities whose polulation is larger than 50000 pounds have shipment in 2017? population is larger than 50000 refers to population > 50000

    【Evidence】
    population is larger than 50000 refers to population > 50000

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

SQL: SELECT COUNT(*) FROM city AS T1 INNER JOIN shipment AS T2 ON T1.city_id = T2.city_id WHERE T1.population > 50000 AND STRFTIME('%Y', T2.ship_date) = '2017'
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 weight of shipments transported by Peterbilt. "Peterbilt" is the make

    【Evidence】
    "Peterbilt" is the make

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

SQL: SELECT T2.weight FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE make = 'Peterbilt'
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 model year of the truck used in shipment id 1003? shipment id 1003 refers to ship_id = 1003

    【Evidence】
    shipment id 1003 refers to ship_id = 1003

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

SQL: SELECT T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1003'
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 of truck used in shipment id 1011? shipment id 1011 refers to ship_id = 1011; brand of truck refers to make

    【Evidence】
    shipment id 1011 refers to ship_id = 1011; brand of truck refers to make

    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 FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1011'