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CREATE TABLE table_20664 ("Code" FLOAT, "County" CLOB, "Former Province" CLOB, "Area ( km 2 ) " CLOB, "Population Census 2009" FLOAT, "Capital" CLOB)
| What is the capital of Uasin Gishu county? | SELECT "Capital" FROM table_20664 WHERE "County" = 'Uasin Gishu' | SELECT "Capital" FROM "table_20664" WHERE "County" = 'Uasin Gishu' | 0.064453 |
CREATE TABLE table_26804 ("School" CLOB, "Mascot" CLOB, "Location" CLOB, "Founded" FLOAT, "Entered ISL" FLOAT, "Grades" CLOB, "Number of Students" CLOB, "Varsity Teams" FLOAT)
| name the school located at Milton, ma. | SELECT "School" FROM table_26804 WHERE "Location" = 'Milton, MA' | SELECT "School" FROM "table_26804" WHERE "Location" = 'Milton, MA' | 0.064453 |
CREATE TABLE table_25581 ("Institution" CLOB, "Nickname" CLOB, "Location" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Joined" FLOAT, "Left" FLOAT)
| Name the nickname that was founded 1798 | SELECT "Nickname" FROM table_25581 WHERE "Founded" = '1798' | SELECT "Nickname" FROM "table_25581" WHERE "Founded" = '1798' | 0.05957 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose procedure long title is open reduction of fracture with internal fixation, femur and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Open reduction of fracture with internal fixation, femur" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Open reduction of fracture with internal fixation, femur" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.3125 |
CREATE TABLE table_28204447_3 (tries_for VARCHAR2, l NUMBER)
| Name the tries for when L is less than 2.0 | SELECT tries_for FROM table_28204447_3 WHERE l < 2.0 | SELECT "tries_for" FROM "table_28204447_3" WHERE "l" < 2.0 | 0.056641 |
CREATE TABLE table_43025 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| How many people attended the game in week 13? | SELECT "Attendance" FROM table_43025 WHERE "Week" = '13' | SELECT "Attendance" FROM "table_43025" WHERE "Week" = '13' | 0.056641 |
CREATE TABLE table_73076 ("Round" CLOB, "Clubs remaining" FLOAT, "Clubs involved" FLOAT, "Winners from previous round" CLOB, "New entries this round" CLOB, "Leagues entering this round" CLOB)
| Name the least clubs involved for leagues being none for semi finals | SELECT MIN("Clubs involved") FROM table_73076 WHERE "Leagues entering this round" = 'none' AND "Round" = 'Semi finals' | SELECT MIN("Clubs involved") FROM "table_73076" WHERE "Leagues entering this round" = 'none' AND "Round" = 'Semi finals' | 0.117188 |
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
| Return a bar chart about the distribution of date_address_to and the average of monthly_rental , and group by attribute other_details and bin date_address_to by weekday. | SELECT date_address_to, AVG(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | SELECT "date_address_to", AVG("monthly_rental") FROM "Student_Addresses" GROUP BY "other_details" ORDER BY "monthly_rental" DESC | 0.125 |
CREATE TABLE table_name_16 (attendance VARCHAR2, date VARCHAR2)
| What is the attendance of the match on October 26? | SELECT attendance FROM table_name_16 WHERE date = "october 26" | SELECT "attendance" FROM "table_name_16" WHERE "date" = "october 26" | 0.066406 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| is there a flight between WASHINGTON and SAN FRANCISCO on US at 800 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.departure_time = 800 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'US' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'US' AND "flight"."departure_time" = 800 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.560547 |
CREATE TABLE table_11708 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What is the pick number of Jesse Alexander? | SELECT MIN("Pick #") FROM table_11708 WHERE "Player" = 'jesse alexander' | SELECT MIN("Pick #") FROM "table_11708" WHERE "Player" = 'jesse alexander' | 0.072266 |
CREATE TABLE table_name_32 (year NUMBER, grand_slam VARCHAR2, loser VARCHAR2)
| In which year did Misaki Doi lose the Australian Open Grand Slam? | SELECT SUM(year) FROM table_name_32 WHERE grand_slam = "australian open" AND loser = "misaki doi" | SELECT SUM("year") FROM "table_name_32" WHERE "australian open" = "grand_slam" AND "loser" = "misaki doi" | 0.102539 |
CREATE TABLE table_75993 ("Source" CLOB, "Date" CLOB, "Goberman" CLOB, "Loera" CLOB, "Merkley" CLOB, "Neville" CLOB, "Novick" CLOB, "Obrist" CLOB, "Other/ Undecided" CLOB)
| Which Novick has a Source of surveyusa, and a Neville of 8%? | SELECT "Novick" FROM table_75993 WHERE "Source" = 'surveyusa' AND "Neville" = '8%' | SELECT "Novick" FROM "table_75993" WHERE "Neville" = '8%' AND "Source" = 'surveyusa' | 0.082031 |
CREATE TABLE table_name_33 (score VARCHAR2, player VARCHAR2)
| Name the Score of craig stadler? | SELECT score FROM table_name_33 WHERE player = "craig stadler" | SELECT "score" FROM "table_name_33" WHERE "craig stadler" = "player" | 0.066406 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| hello i'd like a DL flight from ATLANTA to BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'DL' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'DL' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.515625 |
CREATE TABLE table_name_64 (introduced VARCHAR2, type VARCHAR2)
| What is the year of introduction for the Electro-Diesel locomotive? | SELECT introduced FROM table_name_64 WHERE type = "electro-diesel locomotive" | SELECT "introduced" FROM "table_name_64" WHERE "electro-diesel locomotive" = "type" | 0.081055 |
CREATE TABLE table_4849 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "From" FLOAT, "School/Country" CLOB)
| What is the nationality with a forward position from a year after 2005? | SELECT "Nationality" FROM table_4849 WHERE "Position" = 'forward' AND "From" > '2005' | SELECT "Nationality" FROM "table_4849" WHERE "From" > '2005' AND "Position" = 'forward' | 0.084961 |
CREATE TABLE table_56641 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What did the away team score at the game when the home team scored 7.11 (53)? | SELECT "Home team" FROM table_56641 WHERE "Away team score" = '7.11 (53)' | SELECT "Home team" FROM "table_56641" WHERE "Away team score" = '7.11 (53)' | 0.073242 |
CREATE TABLE table_test_18 ("id" NUMBER, "bleeding" NUMBER, "dialysis" BOOLEAN, "hct" NUMBER, "hepatic_disease" BOOLEAN, "anaemia" BOOLEAN, "creatinine_clearance_cl" FLOAT, "polycytaemia" BOOLEAN, "thrombocytopenia" FLOAT, "kidney_disease" BOOLEAN, "body_mass_index_bmi" FLOAT, "glycosylated_hemoglobin" FLOAT, "NOUSE" FLOAT)
| polycytaemia ( hct > 52 % ) at randomization | SELECT * FROM table_test_18 WHERE polycytaemia = 1 OR hct > 52 | SELECT * FROM "table_test_18" WHERE "hct" > 52 OR "polycytaemia" = 1 | 0.066406 |
CREATE TABLE table_7900 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "College" CLOB)
| What college did the player drafted after round 2 before pick 160 attend? | SELECT "College" FROM table_7900 WHERE "Pick" < '160' AND "Round" > '2' | SELECT "College" FROM "table_7900" WHERE "Pick" < '160' AND "Round" > '2' | 0.071289 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is average age of patients whose age is greater than or equal to 44 and admission year is greater than or equal to 2197? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.age >= "44" AND demographic.admityear >= "2197" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2197" <= "demographic"."admityear" AND "44" <= "demographic"."age" | 0.121094 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose admission location is transfer from hosp/extram and procedure icd9 code is 3892. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.icd9_code = "3892" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3892" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.241211 |
CREATE TABLE table_name_85 (last_5_meetings VARCHAR2, current_streak VARCHAR2)
| What was the result of the last 5 meetings for a team with an L 1 streak? | SELECT last_5_meetings FROM table_name_85 WHERE current_streak = "l 1" | SELECT "last_5_meetings" FROM "table_name_85" WHERE "current_streak" = "l 1" | 0.074219 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients aged below 64 years had celo-vessicle fistula as the primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CELO-VESSICLE FISTULA" AND demographic.age < "64" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "64" > "demographic"."age" AND "CELO-VESSICLE FISTULA" = "demographic"."diagnosis" | 0.15332 |
CREATE TABLE table_43318 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| Which Tournament has a Score of 6(4) 7 2 6? | SELECT "Tournament" FROM table_43318 WHERE "Score" = '6(4)–7 2–6' | SELECT "Tournament" FROM "table_43318" WHERE "Score" = '6(4)–7 2–6' | 0.06543 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| How many of the Spanish speaking patients were born before the year 2052? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.dob_year < "2052" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2052" > "demographic"."dob_year" AND "SPAN" = "demographic"."language" | 0.142578 |
CREATE TABLE table_name_59 (offer_team VARCHAR2, player VARCHAR2)
| What was David Backes' Offer Team? | SELECT offer_team FROM table_name_59 WHERE player = "david backes" | SELECT "offer_team" FROM "table_name_59" WHERE "david backes" = "player" | 0.070313 |
CREATE TABLE table_name_42 (result VARCHAR2, road_team VARCHAR2, date VARCHAR2)
| What is the result of the game on April 17 against Los Angeles? | SELECT result FROM table_name_42 WHERE road_team = "los angeles" AND date = "april 17" | SELECT "result" FROM "table_name_42" WHERE "april 17" = "date" AND "los angeles" = "road_team" | 0.091797 |
CREATE TABLE table_41329 ("Team 1" CLOB, "Agg." CLOB, "Team 2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| What is Team 1, when Team 2 is Saint Louis? | SELECT "Team 1" FROM table_41329 WHERE "Team 2" = 'saint louis' | SELECT "Team 1" FROM "table_41329" WHERE "Team 2" = 'saint louis' | 0.063477 |
CREATE TABLE table_1859855_2 (age NUMBER, hometown VARCHAR2)
| When columbia, south carolina is the hometown what is the lowest age? | SELECT MIN(age) FROM table_1859855_2 WHERE hometown = "Columbia, South Carolina" | SELECT MIN("age") FROM "table_1859855_2" WHERE "Columbia, South Carolina" = "hometown" | 0.083984 |
CREATE TABLE table_70155 ("Surface" CLOB, "Event" CLOB, "Time ( h : m : s ) " CLOB, "Date" CLOB, "Place" CLOB)
| What is the Place with Time 7:44.15? | SELECT "Place" FROM table_70155 WHERE "Time ( h : m : s )" = '7:44.15' | SELECT "Place" FROM "table_70155" WHERE "Time ( h : m : s )" = '7:44.15' | 0.070313 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose diagnoses long title is morbid obesity and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Morbid obesity" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Morbid obesity" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.268555 |
CREATE TABLE table_68520 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| What was the loss of the game with a record of 77-65? | SELECT "Loss" FROM table_68520 WHERE "Record" = '77-65' | SELECT "Loss" FROM "table_68520" WHERE "Record" = '77-65' | 0.055664 |
CREATE TABLE table_name_44 (time VARCHAR2, show_name VARCHAR2)
| What Time has a Show Name of mornings with neil mitchell? | SELECT time FROM table_name_44 WHERE show_name = "mornings with neil mitchell" | SELECT "time" FROM "table_name_44" WHERE "mornings with neil mitchell" = "show_name" | 0.082031 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| What is the name of PHRMACOL 616 ? | SELECT DISTINCT name FROM course WHERE department = 'PHRMACOL' AND number = 616 | SELECT DISTINCT "name" FROM "course" WHERE "department" = 'PHRMACOL' AND "number" = 616 | 0.084961 |
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
| Visualize the title and and the total star rating of the movie using a bar chart. | SELECT title, SUM(stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title | SELECT "title", SUM("stars") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "title" | 0.106445 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| show me one way flights from MILWAUKEE to ORLANDO wednesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((DATE_DAY_0.day_number = 23 AND DATE_DAY_0.month_number = 4 AND DATE_DAY_0.year = 1991 AND DATE_DAY_1.day_number = 23 AND DATE_DAY_1.month_number = 4 AND DATE_DAY_1.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND DAYS_1.day_name = DATE_DAY_1.day_name AND fare_basis.basis_days = DAYS_1.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_days = DAYS_0.days_code AND flight.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ORLANDO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MILWAUKEE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 23 AND "DATE_DAY_0"."month_number" = 4 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 23 AND "DATE_DAY_1"."month_number" = 4 AND "DATE_DAY_1"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'MILWAUKEE' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" ON "DAYS_1"."days_code" = "fare_basis"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_0"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ORLANDO' JOIN "fare" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' | 1.217773 |
CREATE TABLE table_24089503_1 (travers_stakes VARCHAR2, year VARCHAR2)
| What was the attendance at the Travers Stakes in 1977? | SELECT travers_stakes FROM table_24089503_1 WHERE year = 1977 | SELECT "travers_stakes" FROM "table_24089503_1" WHERE "year" = 1977 | 0.06543 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Angular Vs Vue Vs React. | SELECT COUNT(Id) AS Amount, CONCAT(YEAR(CreationDate), '/', MONTH(CreationDate)) AS per FROM Posts WHERE Tags LIKE '%reactjs%' GROUP BY CONCAT(YEAR(CreationDate), '/', MONTH(CreationDate)) | SELECT COUNT("Id") AS "Amount", CONCAT(YEAR("CreationDate"), '/', MONTH("CreationDate")) AS "per" FROM "Posts" WHERE "Tags" LIKE '%reactjs%' GROUP BY CONCAT(YEAR("CreationDate"), '/', MONTH("CreationDate")) | 0.201172 |
CREATE TABLE table_name_60 (score VARCHAR2, date VARCHAR2)
| What is the score on may 16? | SELECT score FROM table_name_60 WHERE date = "may 16" | SELECT "score" FROM "table_name_60" WHERE "date" = "may 16" | 0.057617 |
CREATE TABLE table_name_56 (pronunciation_b VARCHAR2, meaning_a VARCHAR2)
| Name the pronunciation b for meaning of grind | SELECT pronunciation_b FROM table_name_56 WHERE meaning_a = "grind" | SELECT "pronunciation_b" FROM "table_name_56" WHERE "grind" = "meaning_a" | 0.071289 |
CREATE TABLE table_26701861_1 (title VARCHAR2, director VARCHAR2, production_code VARCHAR2)
| what is the title of the episode with the director pamela fryman and the production code 2alh07? | SELECT title FROM table_26701861_1 WHERE director = "Pamela Fryman" AND production_code = "2ALH07" | SELECT "title" FROM "table_26701861_1" WHERE "2ALH07" = "production_code" AND "Pamela Fryman" = "director" | 0.103516 |
CREATE TABLE table_11655 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| Who wrote series number 99? | SELECT "Written by" FROM table_11655 WHERE "Series #" = '99' | SELECT "Written by" FROM "table_11655" WHERE "Series #" = '99' | 0.060547 |
CREATE TABLE table_75918 ("Name" CLOB, "Height" CLOB, "Position" CLOB, "Year" CLOB, "Home Town" CLOB)
| What position does the 5-8 player from Grottoes, VA play? | SELECT "Position" FROM table_75918 WHERE "Height" = '5-8' AND "Home Town" = 'grottoes, va' | SELECT "Position" FROM "table_75918" WHERE "Height" = '5-8' AND "Home Town" = 'grottoes, va' | 0.089844 |
CREATE TABLE table_41517 ("Date" CLOB, "Cover model" CLOB, "Centerfold model" CLOB, "Interview subject" CLOB, "20 Questions" CLOB)
| Who was the 20 Questions section aimed at when Cover Model was Kimberley Conrad Hefner? | SELECT "20 Questions" FROM table_41517 WHERE "Cover model" = 'kimberley conrad hefner' | SELECT "20 Questions" FROM "table_41517" WHERE "Cover model" = 'kimberley conrad hefner' | 0.085938 |
CREATE TABLE table_name_45 (outcome VARCHAR2, score VARCHAR2)
| What is the Outcome of the game with a Score of 6 4, 6 4? | SELECT outcome FROM table_name_45 WHERE score = "6–4, 6–4" | SELECT "outcome" FROM "table_name_45" WHERE "6–4, 6–4" = "score" | 0.0625 |
CREATE TABLE table_name_1 (name VARCHAR2, time_retired VARCHAR2)
| Who recorded a time or retired time of 52:56.4653? | SELECT name FROM table_name_1 WHERE time_retired = "52:56.4653" | SELECT "name" FROM "table_name_1" WHERE "52:56.4653" = "time_retired" | 0.067383 |
CREATE TABLE table_36617 ("Athlete" CLOB, "Event" CLOB, "Quarterfinal" CLOB, "Semifinal" CLOB, "Final" CLOB)
| What is the final result for the 63.5 kg? | SELECT "Final" FROM table_36617 WHERE "Event" = '63.5 kg' | SELECT "Final" FROM "table_36617" WHERE "Event" = '63.5 kg' | 0.057617 |
CREATE TABLE table_name_48 (result VARCHAR2, date VARCHAR2)
| What was the result on October 4, 1993? | SELECT result FROM table_name_48 WHERE date = "october 4, 1993" | SELECT "result" FROM "table_name_48" WHERE "date" = "october 4, 1993" | 0.067383 |
CREATE TABLE flight (flno NUMBER, origin CLOB, destination CLOB, distance NUMBER, departure_date TIME, arrival_date TIME, price NUMBER, aid NUMBER)
CREATE TABLE aircraft (aid NUMBER, name CLOB, distance NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name CLOB, salary NUMBER)
| What are the names of all employees who can fly both the Boeing 737-800 and the Airbus A340-300? | SELECT T1.name FROM employee AS T1 JOIN certificate AS T2 ON T1.eid = T2.eid JOIN aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" INTERSECT SELECT T1.name FROM employee AS T1 JOIN certificate AS T2 ON T1.eid = T2.eid JOIN aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Airbus A340-300" | SELECT "T1"."name" FROM "employee" "T1" JOIN "certificate" "T2" ON "T1"."eid" = "T2"."eid" JOIN "aircraft" "T3" ON "Boeing 737-800" = "T3"."name" AND "T2"."aid" = "T3"."aid" INTERSECT SELECT "T1"."name" FROM "employee" "T1" JOIN "certificate" "T2" ON "T1"."eid" = "T2"."eid" JOIN "aircraft" "T3" ON "Airbus A340-300" = "T3"."name" AND "T2"."aid" = "T3"."aid" | 0.349609 |
CREATE TABLE table_76192 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the Attendance, when the Opponent is the Tampa Bay Buccaneers? | SELECT "Attendance" FROM table_76192 WHERE "Opponent" = 'tampa bay buccaneers' | SELECT "Attendance" FROM "table_76192" WHERE "Opponent" = 'tampa bay buccaneers' | 0.078125 |
CREATE TABLE table_16280 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many titles were there for the 113 episode? | SELECT COUNT("Title") FROM table_16280 WHERE "No. in series" = '113' | SELECT COUNT("Title") FROM "table_16280" WHERE "No. in series" = '113' | 0.068359 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Highest Scoring Comments by User. Finds the highest-scoring comments by a user. | SELECT Id AS "comment_link", PostId AS "post_link", CreationDate AS "comment_date", Score FROM Comments WHERE '##UserId:int##' = UserId AND Score > 0 ORDER BY Score DESC, CreationDate DESC LIMIT 1000 | SELECT "Id" AS "comment_link", "PostId" AS "post_link", "CreationDate" AS "comment_date", "Score" FROM "Comments" WHERE "Score" > 0 AND "UserId" = '##UserId:int##' ORDER BY "Score" DESC, "CreationDate" DESC FETCH FIRST 1000 ROWS ONLY | 0.227539 |
CREATE TABLE table_7354 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| On what date did the audience of 60,092 people watched a game end with a W 21-9? | SELECT "Date" FROM table_7354 WHERE "Attendance" > '60,092' AND "Result" = 'w 21-9' | SELECT "Date" FROM "table_7354" WHERE "Attendance" > '60,092' AND "Result" = 'w 21-9' | 0.083008 |
CREATE TABLE table_204_246 (id NUMBER, "department" CLOB, "total deputies" NUMBER, "uninominal deputies" NUMBER, "plurinominal deputies" NUMBER, "special indigenous\ or campesino deputies" NUMBER, "senators" NUMBER)
| which department has the most total deputies ? | SELECT "department" FROM table_204_246 ORDER BY "total deputies" DESC LIMIT 1 | SELECT "department" FROM "table_204_246" ORDER BY "total deputies" DESC FETCH FIRST 1 ROWS ONLY | 0.092773 |
CREATE TABLE table_204_206 (id NUMBER, "saros" NUMBER, "member" NUMBER, "date" CLOB, "time\ ( greatest ) \ utc" CLOB, "type" CLOB, "location\ lat , long" CLOB, "gamma" NUMBER, "mag." NUMBER, "width\ ( km ) " NUMBER, "duration\ ( min:sec ) " CLOB, "ref" NUMBER)
| how long did 18 last ? | SELECT "saros" FROM table_204_206 WHERE "member" = 18 | SELECT "saros" FROM "table_204_206" WHERE "member" = 18 | 0.053711 |
CREATE TABLE table_25649 ("Country" CLOB, "KEI" CLOB, "KI" CLOB, "Economic Incentive Regime" CLOB, "Innovation" CLOB, "Education" CLOB, "ICT" CLOB, "2008 Rank" FLOAT)
| How many KEI catagories are listed when the economic incentive regime is 2.56? | SELECT COUNT("KEI") FROM table_25649 WHERE "Economic Incentive Regime" = '2.56' | SELECT COUNT("KEI") FROM "table_25649" WHERE "Economic Incentive Regime" = '2.56' | 0.079102 |
CREATE TABLE table_name_72 (place VARCHAR2, country VARCHAR2)
| What place did the golfer take whose country is South Africa? | SELECT place FROM table_name_72 WHERE country = "south africa" | SELECT "place" FROM "table_name_72" WHERE "country" = "south africa" | 0.066406 |
CREATE TABLE table_10744 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| who is the constructor when the grid is more than 10 and the time/retired is +1 lap? | SELECT "Constructor" FROM table_10744 WHERE "Grid" > '10' AND "Time/Retired" = '+1 lap' | SELECT "Constructor" FROM "table_10744" WHERE "Grid" > '10' AND "Time/Retired" = '+1 lap' | 0.086914 |
CREATE TABLE table_5695 ("Week 6 Oct 5" CLOB, "Week 7 Oct 12" CLOB, "Week 9 Oct 26" CLOB, "Week 10 Nov 2" CLOB, "Week 11 Nov 9" CLOB, "Week 13 Nov 23" CLOB, "Week 14 Nov 30" CLOB, "Week 15 ( Final ) Dec 7" CLOB)
| Which Week 13 Nov 23 has a Week 6 Oct 5 of oklahoma state (5-0)? | SELECT "Week 13 Nov 23" FROM table_5695 WHERE "Week 6 Oct 5" = 'oklahoma state (5-0)' | SELECT "Week 13 Nov 23" FROM "table_5695" WHERE "Week 6 Oct 5" = 'oklahoma state (5-0)' | 0.084961 |
CREATE TABLE table_11884814_3 (country VARCHAR2, swimsuit VARCHAR2)
| Which country had the swimsuit score 9.67? | SELECT country FROM table_11884814_3 WHERE swimsuit = "9.67" | SELECT "country" FROM "table_11884814_3" WHERE "9.67" = "swimsuit" | 0.064453 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| Draw a bar chart for how many different products are produced in each headquarter city?, and display from high to low by the name). | SELECT Headquarter, COUNT(DISTINCT T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code ORDER BY COUNT(DISTINCT T1.Name) DESC | SELECT "Headquarter", COUNT(DISTINCT "T1"."Name") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" ORDER BY COUNT(DISTINCT "T1"."Name") DESC | 0.170898 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Bronze Badges for Node.js Worldwide. Find worldwide experts on Node.js | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Users.Id AS "user_link", Reputation, Location FROM Users, Badges WHERE Users.Id = Badges.UserId AND Badges.Class = 3 AND Badges.TagBased = 1 AND Badges.Name = 'node.js' ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Users"."Id" AS "user_link", "Reputation", "Location" FROM "Users" JOIN "Badges" ON "Badges"."Class" = 3 AND "Badges"."Name" = 'node.js' AND "Badges"."TagBased" = 1 AND "Badges"."UserId" = "Users"."Id" ORDER BY "Reputation" DESC | 0.283203 |
CREATE TABLE table_name_76 (attendance VARCHAR2, opponent VARCHAR2, week VARCHAR2)
| What was the total attendance at a game against the Pittsburgh Steelers before week 4? | SELECT COUNT(attendance) FROM table_name_76 WHERE opponent = "pittsburgh steelers" AND week < 4 | SELECT COUNT("attendance") FROM "table_name_76" WHERE "opponent" = "pittsburgh steelers" AND "week" < 4 | 0.100586 |
CREATE TABLE table_2472 ("Source" CLOB, "Dates Administered" CLOB, "Terry McAuliffe" CLOB, "Brian Moran" CLOB, "Creigh Deeds" CLOB)
| What was the source of the poll that gave McAuliffe 30% on June 8? | SELECT "Source" FROM table_2472 WHERE "Terry McAuliffe" = '30%' AND "Dates Administered" = 'June 8' | SELECT "Source" FROM "table_2472" WHERE "Dates Administered" = 'June 8' AND "Terry McAuliffe" = '30%' | 0.098633 |
CREATE TABLE table_7206 ("Objects" CLOB, "Date" CLOB, "SiO 2" FLOAT, "Al 2 O 3" FLOAT, "Fe 2 O 3" FLOAT, "K 2 O" FLOAT, "Na 2 O" FLOAT)
| What is average SiO 2, when Na 2 O is 7.53, and when Al 2 O 3 is less than 2.13? | SELECT AVG("SiO 2") FROM table_7206 WHERE "Na 2 O" = '7.53' AND "Al 2 O 3" < '2.13' | SELECT AVG("SiO 2") FROM "table_7206" WHERE "Al 2 O 3" < '2.13' AND "Na 2 O" = '7.53' | 0.083008 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| compared to second measured on the first intensive care unit visit, was the temperature c (calc) of patient 594 less than the value first measured on the first intensive care unit visit. | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 594) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'temperature c (calc)' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) < (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 594) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'temperature c (calc)' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 594 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'temperature c (calc)' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY) SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) < (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 1.379883 |
CREATE TABLE table_name_15 (height VARCHAR2, pos VARCHAR2, weight VARCHAR2, club VARCHAR2)
| What is the Height if the weight is kg (lb), the club is Sainte-foy and the pos is cf? | SELECT height FROM table_name_15 WHERE weight = "kg (lb)" AND club = "sainte-foy" AND pos = "cf" | SELECT "height" FROM "table_name_15" WHERE "cf" = "pos" AND "club" = "sainte-foy" AND "kg (lb)" = "weight" | 0.103516 |
CREATE TABLE head (head_ID NUMBER, name CLOB, born_state CLOB, age FLOAT)
CREATE TABLE management (department_ID NUMBER, head_ID NUMBER, temporary_acting CLOB)
CREATE TABLE department (Department_ID NUMBER, Name CLOB, Creation CLOB, Ranking NUMBER, Budget_in_Billions FLOAT, Num_Employees FLOAT)
| Give me a bar chart for budget_in_billions of each name | SELECT Name, Budget_in_Billions FROM department | SELECT "Name", "Budget_in_Billions" FROM "department" | 0.051758 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| What is the minimum age of patients whose marital status is widowed and who stayed in the hospital for 30 days? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.days_stay = "30" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "30" = "demographic"."days_stay" AND "WIDOWED" = "demographic"."marital_status" | 0.132813 |
CREATE TABLE table_24477075_1 (minutes NUMBER, starts VARCHAR2)
| Name the most minutes and starts being 12 | SELECT MAX(minutes) FROM table_24477075_1 WHERE starts = 12 | SELECT MAX("minutes") FROM "table_24477075_1" WHERE "starts" = 12 | 0.063477 |
CREATE TABLE table_name_22 (position VARCHAR2, round VARCHAR2, nationality VARCHAR2)
| What is Position, when Round is less than 6, and when Nationality is 'Denmark'? | SELECT position FROM table_name_22 WHERE round < 6 AND nationality = "denmark" | SELECT "position" FROM "table_name_22" WHERE "denmark" = "nationality" AND "round" < 6 | 0.083984 |
CREATE TABLE sampledata15 (sample_pk NUMBER, state CLOB, year CLOB, month CLOB, day CLOB, site CLOB, commod CLOB, source_id CLOB, variety CLOB, origin CLOB, country CLOB, disttype CLOB, commtype CLOB, claim CLOB, quantity NUMBER, growst CLOB, packst CLOB, distst CLOB)
CREATE TABLE resultsdata15 (sample_pk NUMBER, commod CLOB, commtype CLOB, lab CLOB, pestcode CLOB, testclass CLOB, concen NUMBER, lod NUMBER, conunit CLOB, confmethod CLOB, confmethod2 CLOB, annotate CLOB, quantitate CLOB, mean CLOB, extract CLOB, determin CLOB)
| which foods are captured in the data set? | SELECT DISTINCT commod FROM sampledata15 | SELECT DISTINCT "commod" FROM "sampledata15" | 0.042969 |
CREATE TABLE table_name_44 (score VARCHAR2, opponent VARCHAR2, date VARCHAR2)
| What was the score of the match against roger federer on April 3, 2006? | SELECT score FROM table_name_44 WHERE opponent = "roger federer" AND date = "april 3, 2006" | SELECT "score" FROM "table_name_44" WHERE "april 3, 2006" = "date" AND "opponent" = "roger federer" | 0.09668 |
CREATE TABLE employee (Fname CLOB, Minit CLOB, Lname CLOB, Ssn NUMBER, Bdate CLOB, Address CLOB, Sex CLOB, Salary NUMBER, Super_ssn NUMBER, Dno NUMBER)
CREATE TABLE department (Dname CLOB, Dnumber NUMBER, Mgr_ssn NUMBER, Mgr_start_date CLOB)
CREATE TABLE dependent (Essn NUMBER, Dependent_name CLOB, Sex CLOB, Bdate CLOB, Relationship CLOB)
CREATE TABLE dept_locations (Dnumber NUMBER, Dlocation CLOB)
CREATE TABLE works_on (Essn NUMBER, Pno NUMBER, Hours FLOAT)
CREATE TABLE project (Pname CLOB, Pnumber NUMBER, Plocation CLOB, Dnum NUMBER)
| Find the number of employees of each gender whose salary is lower than 50000 Visualize by bar chart, could you rank Y-axis in ascending order? | SELECT Sex, COUNT(*) FROM employee WHERE Salary < 50000 GROUP BY Sex ORDER BY COUNT(*) | SELECT "Sex", COUNT(*) FROM "employee" WHERE "Salary" < 50000 GROUP BY "Sex" ORDER BY COUNT(*) | 0.091797 |
CREATE TABLE table_name_79 (competition VARCHAR2, score VARCHAR2)
| In which competition was the score 3-0? | SELECT competition FROM table_name_79 WHERE score = "3-0" | SELECT "competition" FROM "table_name_79" WHERE "3-0" = "score" | 0.061523 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
| i'd like a one way ticket from MILWAUKEE to ORLANDO either wednesday evening or thursday morning | SELECT DISTINCT fare_id FROM fare WHERE (((fare_basis_code IN (SELECT FARE_BASISalias0.fare_basis_code FROM fare_basis AS FARE_BASISalias0 WHERE FARE_BASISalias0.basis_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 23 AND DATE_DAYalias0.month_number = 4 AND DATE_DAYalias0.year = 1991))) AND fare_id IN (SELECT FLIGHT_FARE_ID FROM flight_fare AS FLIGHT_FARE WHERE FLIGHT_FLIGHT_ID IN (SELECT FLIGHTalias0.flight_id FROM flight AS FLIGHTalias0 WHERE ((((FLIGHTalias0.departure_time BETWEEN 1800 AND 2200) AND FLIGHTalias0.flight_days IN (SELECT DAYSalias1.days_code FROM days AS DAYSalias1 WHERE DAYSalias1.day_name IN (SELECT DATE_DAYalias1.day_name FROM date_day AS DATE_DAYalias1 WHERE DATE_DAYalias1.day_number = 23 AND DATE_DAYalias1.month_number = 4 AND DATE_DAYalias1.year = 1991))) AND FLIGHTalias0.to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'ORLANDO'))) AND FLIGHTalias0.from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'MILWAUKEE')))))) OR (fare_basis_code IN (SELECT FARE_BASISalias1.fare_basis_code FROM fare_basis AS FARE_BASISalias1 WHERE FARE_BASISalias1.basis_days IN (SELECT DAYSalias2.days_code FROM days AS DAYSalias2 WHERE DAYSalias2.day_name IN (SELECT DATE_DAYalias2.day_name FROM date_day AS DATE_DAYalias2 WHERE DATE_DAYalias2.day_number = 23 AND DATE_DAYalias2.month_number = 4 AND DATE_DAYalias2.year = 1991))) AND fare_id IN (SELECT FLIGHT_FAREalias1.fare_id FROM flight_fare AS FLIGHT_FAREalias1 WHERE FLIGHT_FAREalias1.flight_id IN (SELECT FLIGHTalias1.flight_id FROM flight AS FLIGHTalias1 WHERE ((((FLIGHTalias1.departure_time BETWEEN 0 AND 1200) AND FLIGHTalias1.flight_days IN (SELECT DAYSalias3.days_code FROM days AS DAYSalias3 WHERE DAYSalias3.day_name IN (SELECT DATE_DAYalias3.day_name FROM date_day AS DATE_DAYalias3 WHERE DATE_DAYalias3.day_number = 23 AND DATE_DAYalias3.month_number = 4 AND DATE_DAYalias3.year = 1991))) AND FLIGHTalias1.to_airport IN (SELECT AIRPORT_SERVICEalias3.airport_code FROM airport_service AS AIRPORT_SERVICEalias3 WHERE AIRPORT_SERVICEalias3.city_code IN (SELECT CITYalias3.city_code FROM city AS CITYalias3 WHERE CITYalias3.city_name = 'ORLANDO'))) AND FLIGHTalias1.from_airport IN (SELECT AIRPORT_SERVICEalias2.airport_code FROM airport_service AS AIRPORT_SERVICEalias2 WHERE AIRPORT_SERVICEalias2.city_code IN (SELECT CITYalias2.city_code FROM city AS CITYalias2 WHERE CITYalias2.city_name = 'MILWAUKEE'))))))) AND round_trip_required = 'NO') | WITH "_u_28" AS (SELECT "DATE_DAYalias1"."day_name" FROM "date_day" "DATE_DAYalias1" WHERE "DATE_DAYalias1"."day_number" = 23 AND "DATE_DAYalias1"."month_number" = 4 AND "DATE_DAYalias1"."year" = 1991 GROUP BY "day_name"), "_u_29" AS (SELECT "DAYSalias1"."days_code" FROM "days" "DAYSalias1" LEFT JOIN "_u_28" "_u_28" ON "DAYSalias1"."day_name" = "_u_28"."" WHERE NOT "_u_28"."" IS NULL GROUP BY "days_code"), "_u_30" AS (SELECT "CITYalias1"."city_code" FROM "city" "CITYalias1" WHERE "CITYalias1"."city_name" = 'ORLANDO' GROUP BY "city_code"), "_u_31" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias1" LEFT JOIN "_u_30" "_u_30" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_30"."" WHERE NOT "_u_30"."" IS NULL GROUP BY "airport_code"), "_u_32" AS (SELECT "CITYalias0"."city_code" FROM "city" "CITYalias0" WHERE "CITYalias0"."city_name" = 'MILWAUKEE' GROUP BY "city_code"), "_u_33" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias0" LEFT JOIN "_u_32" "_u_32" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_32"."" WHERE NOT "_u_32"."" IS NULL GROUP BY "airport_code"), "_u_34" AS (SELECT "FLIGHTalias0"."flight_id" FROM "flight" "FLIGHTalias0" LEFT JOIN "_u_29" "_u_29" ON "FLIGHTalias0"."flight_days" = "_u_29"."" LEFT JOIN "_u_31" "_u_31" ON "FLIGHTalias0"."to_airport" = "_u_31"."" LEFT JOIN "_u_33" "_u_33" ON "FLIGHTalias0"."from_airport" = "_u_33"."" WHERE "FLIGHTalias0"."departure_time" <= 2200 AND "FLIGHTalias0"."departure_time" >= 1800 AND NOT "_u_29"."" IS NULL AND NOT "_u_31"."" IS NULL AND NOT "_u_33"."" IS NULL GROUP BY "flight_id"), "_u_10" AS (SELECT "DAYSalias1"."days_code" FROM "days" "DAYSalias1" LEFT JOIN "_u_28" "_u_9" ON "DAYSalias1"."day_name" = "_u_9"."" WHERE NOT "_u_9"."" IS NULL GROUP BY "days_code"), "_u_12" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias1" LEFT JOIN "_u_30" "_u_11" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_11"."" WHERE NOT "_u_11"."" IS NULL GROUP BY "airport_code"), "_u_14" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias0" LEFT JOIN "_u_32" "_u_13" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_13"."" WHERE NOT "_u_13"."" IS NULL GROUP BY "airport_code"), "_u_15" AS (SELECT "FLIGHTalias0"."flight_id" FROM "flight" "FLIGHTalias0" LEFT JOIN "_u_10" "_u_10" ON "FLIGHTalias0"."flight_days" = "_u_10"."" LEFT JOIN "_u_12" "_u_12" ON "FLIGHTalias0"."to_airport" = "_u_12"."" LEFT JOIN "_u_14" "_u_14" ON "FLIGHTalias0"."from_airport" = "_u_14"."" WHERE "FLIGHTalias0"."departure_time" <= 2200 AND "FLIGHTalias0"."departure_time" >= 1800 AND NOT "_u_10"."" IS NULL AND NOT "_u_12"."" IS NULL AND NOT "_u_14"."" IS NULL GROUP BY "flight_id"), "_u_17" AS (SELECT "DATE_DAYalias0"."day_name" FROM "date_day" "DATE_DAYalias0" WHERE "DATE_DAYalias0"."day_number" = 23 AND "DATE_DAYalias0"."month_number" = 4 AND "DATE_DAYalias0"."year" = 1991 GROUP BY "day_name"), "_u_18" AS (SELECT "DAYSalias0"."days_code" FROM "days" "DAYSalias0" LEFT JOIN "_u_17" "_u_17" ON "DAYSalias0"."day_name" = "_u_17"."" WHERE NOT "_u_17"."" IS NULL GROUP BY "days_code"), "_u_19" AS (SELECT "FARE_BASISalias0"."fare_basis_code" FROM "fare_basis" "FARE_BASISalias0" LEFT JOIN "_u_18" "_u_18" ON "FARE_BASISalias0"."basis_days" = "_u_18"."" WHERE NOT "_u_18"."" IS NULL GROUP BY "fare_basis_code"), "_u_1" AS (SELECT "DAYSalias0"."days_code" FROM "days" "DAYSalias0" LEFT JOIN "_u_17" "_u_0" ON "DAYSalias0"."day_name" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "days_code"), "_u_2" AS (SELECT "FARE_BASISalias0"."fare_basis_code" FROM "fare_basis" "FARE_BASISalias0" LEFT JOIN "_u_1" "_u_1" ON "FARE_BASISalias0"."basis_days" = "_u_1"."" WHERE NOT "_u_1"."" IS NULL GROUP BY "fare_basis_code"), "_u_20" AS (SELECT "DATE_DAYalias3"."day_name" FROM "date_day" "DATE_DAYalias3" WHERE "DATE_DAYalias3"."day_number" = 23 AND "DATE_DAYalias3"."month_number" = 4 AND "DATE_DAYalias3"."year" = 1991 GROUP BY "day_name"), "_u_21" AS (SELECT "DAYSalias3"."days_code" FROM "days" "DAYSalias3" LEFT JOIN "_u_20" "_u_20" ON "DAYSalias3"."day_name" = "_u_20"."" WHERE NOT "_u_20"."" IS NULL GROUP BY "days_code"), "_u_22" AS (SELECT "CITYalias3"."city_code" FROM "city" "CITYalias3" WHERE "CITYalias3"."city_name" = 'ORLANDO' GROUP BY "city_code"), "_u_23" AS (SELECT "AIRPORT_SERVICEalias3"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias3" LEFT JOIN "_u_22" "_u_22" ON "AIRPORT_SERVICEalias3"."city_code" = "_u_22"."" WHERE NOT "_u_22"."" IS NULL GROUP BY "airport_code"), "_u_24" AS (SELECT "CITYalias2"."city_code" FROM "city" "CITYalias2" WHERE "CITYalias2"."city_name" = 'MILWAUKEE' GROUP BY "city_code"), "_u_25" AS (SELECT "AIRPORT_SERVICEalias2"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias2" LEFT JOIN "_u_24" "_u_24" ON "AIRPORT_SERVICEalias2"."city_code" = "_u_24"."" WHERE NOT "_u_24"."" IS NULL GROUP BY "airport_code"), "_u_26" AS (SELECT "FLIGHTalias1"."flight_id" FROM "flight" "FLIGHTalias1" LEFT JOIN "_u_21" "_u_21" ON "FLIGHTalias1"."flight_days" = "_u_21"."" LEFT JOIN "_u_23" "_u_23" ON "FLIGHTalias1"."to_airport" = "_u_23"."" LEFT JOIN "_u_25" "_u_25" ON "FLIGHTalias1"."from_airport" = "_u_25"."" WHERE "FLIGHTalias1"."departure_time" <= 1200 AND "FLIGHTalias1"."departure_time" >= 0 AND NOT "_u_21"."" IS NULL AND NOT "_u_23"."" IS NULL AND NOT "_u_25"."" IS NULL GROUP BY "flight_id"), "_u_27" AS (SELECT "FLIGHT_FAREalias1"."fare_id" FROM "flight_fare" "FLIGHT_FAREalias1" LEFT JOIN "_u_26" "_u_26" ON "FLIGHT_FAREalias1"."flight_id" = "_u_26"."" WHERE NOT "_u_26"."" IS NULL GROUP BY "fare_id"), "_u_37" AS (SELECT "DAYSalias3"."days_code" FROM "days" "DAYSalias3" LEFT JOIN "_u_20" "_u_36" ON "DAYSalias3"."day_name" = "_u_36"."" WHERE NOT "_u_36"."" IS NULL GROUP BY "days_code"), "_u_39" AS (SELECT "AIRPORT_SERVICEalias3"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias3" LEFT JOIN "_u_22" "_u_38" ON "AIRPORT_SERVICEalias3"."city_code" = "_u_38"."" WHERE NOT "_u_38"."" IS NULL GROUP BY "airport_code"), "_u_41" AS (SELECT "AIRPORT_SERVICEalias2"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias2" LEFT JOIN "_u_24" "_u_40" ON "AIRPORT_SERVICEalias2"."city_code" = "_u_40"."" WHERE NOT "_u_40"."" IS NULL GROUP BY "airport_code"), "_u_42" AS (SELECT "FLIGHTalias1"."flight_id" FROM "flight" "FLIGHTalias1" LEFT JOIN "_u_37" "_u_37" ON "FLIGHTalias1"."flight_days" = "_u_37"."" LEFT JOIN "_u_39" "_u_39" ON "FLIGHTalias1"."to_airport" = "_u_39"."" LEFT JOIN "_u_41" "_u_41" ON "FLIGHTalias1"."from_airport" = "_u_41"."" WHERE "FLIGHTalias1"."departure_time" <= 1200 AND "FLIGHTalias1"."departure_time" >= 0 AND NOT "_u_37"."" IS NULL AND NOT "_u_39"."" IS NULL AND NOT "_u_41"."" IS NULL GROUP BY "flight_id"), "_u_43" AS (SELECT "FLIGHT_FAREalias1"."fare_id" FROM "flight_fare" "FLIGHT_FAREalias1" LEFT JOIN "_u_42" "_u_42" ON "FLIGHT_FAREalias1"."flight_id" = "_u_42"."" WHERE NOT "_u_42"."" IS NULL GROUP BY "fare_id"), "_u_3" AS (SELECT "DATE_DAYalias2"."day_name" FROM "date_day" "DATE_DAYalias2" WHERE "DATE_DAYalias2"."day_number" = 23 AND "DATE_DAYalias2"."month_number" = 4 AND "DATE_DAYalias2"."year" = 1991 GROUP BY "day_name"), "_u_4" AS (SELECT "DAYSalias2"."days_code" FROM "days" "DAYSalias2" LEFT JOIN "_u_3" "_u_3" ON "DAYSalias2"."day_name" = "_u_3"."" WHERE NOT "_u_3"."" IS NULL GROUP BY "days_code"), "_u_5" AS (SELECT "FARE_BASISalias1"."fare_basis_code" FROM "fare_basis" "FARE_BASISalias1" LEFT JOIN "_u_4" "_u_4" ON "FARE_BASISalias1"."basis_days" = "_u_4"."" WHERE NOT "_u_4"."" IS NULL GROUP BY "fare_basis_code"), "_u_7" AS (SELECT "DAYSalias2"."days_code" FROM "days" "DAYSalias2" LEFT JOIN "_u_3" "_u_6" ON "DAYSalias2"."day_name" = "_u_6"."" WHERE NOT "_u_6"."" IS NULL GROUP BY "days_code"), "_u_8" AS (SELECT "FARE_BASISalias1"."fare_basis_code" FROM "fare_basis" "FARE_BASISalias1" LEFT JOIN "_u_7" "_u_7" ON "FARE_BASISalias1"."basis_days" = "_u_7"."" WHERE NOT "_u_7"."" IS NULL GROUP BY "fare_basis_code") SELECT DISTINCT "fare_id" FROM "fare" LEFT JOIN "_u_19" "_u_19" ON "_u_19"."" = "fare_basis_code" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "fare_basis_code" LEFT JOIN "_u_27" "_u_27" ON "_u_27"."" = "fare_id" LEFT JOIN "_u_43" "_u_43" ON "_u_43"."" = "fare_id" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "fare_basis_code" LEFT JOIN "_u_8" "_u_8" ON "_u_8"."" = "fare_basis_code" WHERE ("fare_id" IN (SELECT "FLIGHT_FARE_ID" FROM "flight_fare" "FLIGHT_FARE" LEFT JOIN "_u_15" "_u_15" ON "FLIGHT_FLIGHT_ID" = "_u_15"."" WHERE NOT "_u_15"."" IS NULL) OR NOT "_u_8"."" IS NULL) AND ("fare_id" IN (SELECT "FLIGHT_FARE_ID" FROM "flight_fare" "FLIGHT_FARE" LEFT JOIN "_u_34" "_u_34" ON "FLIGHT_FLIGHT_ID" = "_u_34"."" WHERE NOT "_u_34"."" IS NULL) OR NOT "_u_43"."" IS NULL) AND "round_trip_required" = 'NO' AND (NOT "_u_19"."" IS NULL OR NOT "_u_27"."" IS NULL) AND (NOT "_u_2"."" IS NULL OR NOT "_u_5"."" IS NULL) | 8.725586 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Median response time by tag (for any answer) - iOS- Initial Year. | WITH my_table AS (SELECT T.TagName, CAST((JULIANDAY(CreationDate) - JULIANDAY(P.CreationDate)) * 1440.0 AS INT) AS ResponseMinutes FROM Posts AS P INNER JOIN Posts AS A ON P.AcceptedAnswerId = A.Id INNER JOIN PostTags AS PT ON P.Id = PT.PostId INNER JOIN Tags AS T ON T.Id = PT.TagId WHERE P.PostTypeId = 1 AND (T.TagName LIKE '%windows-phone%') AND p.AnswerCount > 0) SELECT DISTINCT TagName, PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ResponseMinutes) OVER (PARTITION BY TagName) AS Median FROM my_table | SELECT DISTINCT "TagName", PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY "ResponseMinutes") OVER (PARTITION BY "TagName") AS "Median" FROM "Posts" "P" JOIN "Posts" "A" ON "A"."Id" = "P"."AcceptedAnswerId" JOIN "PostTags" "PT" ON "P"."Id" = "PT"."PostId" JOIN "Tags" "T" ON "PT"."TagId" = "T"."Id" AND "T"."TagName" LIKE '%windows-phone%' WHERE "P"."PostTypeId" = 1 AND "p"."AnswerCount" > 0 | 0.378906 |
CREATE TABLE table_16161 ("Season" CLOB, "Team" CLOB, "League Apps" FLOAT, "League Goals" FLOAT, "Cup Apps" FLOAT, "Cup Goals" FLOAT)
| What is the most cup goals for seasson 1911-12? | SELECT MAX("Cup Goals") FROM table_16161 WHERE "Season" = '1911-12' | SELECT MAX("Cup Goals") FROM "table_16161" WHERE "Season" = '1911-12' | 0.067383 |
CREATE TABLE table_name_26 (school VARCHAR2, signed VARCHAR2, round VARCHAR2)
| what is the school when signed is no and round is 50? | SELECT school FROM table_name_26 WHERE signed = "no" AND round = 50 | SELECT "school" FROM "table_name_26" WHERE "no" = "signed" AND "round" = 50 | 0.073242 |
CREATE TABLE table_name_64 (music VARCHAR2, dance VARCHAR2)
| What was the music for the modern dance? | SELECT music FROM table_name_64 WHERE dance = "modern" | SELECT "music" FROM "table_name_64" WHERE "dance" = "modern" | 0.058594 |
CREATE TABLE table_70752 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What is the average Points when equipe ligier gauloises blondes is the entrant? | SELECT AVG("Points") FROM table_70752 WHERE "Entrant" = 'equipe ligier gauloises blondes' | SELECT AVG("Points") FROM "table_70752" WHERE "Entrant" = 'equipe ligier gauloises blondes' | 0.088867 |
CREATE TABLE table_name_11 (location VARCHAR2, event VARCHAR2)
| What is the location of the Conquista Fight 1? | SELECT location FROM table_name_11 WHERE event = "conquista fight 1" | SELECT "location" FROM "table_name_11" WHERE "conquista fight 1" = "event" | 0.072266 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Select Top Users from India who have answered a given tag. | SELECT u.Id, u.DisplayName, u.Reputation, u.Location, COUNT(*) AS PostCount FROM Users AS u INNER JOIN Posts AS p ON u.Id = p.OwnerUserId INNER JOIN Posts AS q ON p.ParentId = q.Id INNER JOIN PostTags AS pt ON q.Id = pt.PostId WHERE u.Reputation > 5000 AND u.Location LIKE '%India' AND p.PostTypeId = 2 AND (pt.TagId = 58838 OR pt.TagId = 154) GROUP BY u.Id, u.DisplayName, u.Reputation, u.Location ORDER BY PostCount DESC LIMIT 1000 | SELECT "u"."Id", "u"."DisplayName", "u"."Reputation", "u"."Location", COUNT(*) AS "PostCount" FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" AND "p"."PostTypeId" = 2 JOIN "Posts" "q" ON "p"."ParentId" = "q"."Id" JOIN "PostTags" "pt" ON "pt"."PostId" = "q"."Id" AND ("pt"."TagId" = 154 OR "pt"."TagId" = 58838) WHERE "u"."Location" LIKE '%India' AND "u"."Reputation" > 5000 GROUP BY "u"."Id", "u"."DisplayName", "u"."Reputation", "u"."Location" ORDER BY "PostCount" DESC FETCH FIRST 1000 ROWS ONLY | 0.50293 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose year of death is less than or equal to 2186 and drug name is neo*iv*fat emulsion? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2186.0" AND prescriptions.drug = "NEO*IV*Fat Emulsion" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEO*IV*Fat Emulsion" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2186.0" >= "demographic"."dod_year" | 0.232422 |
CREATE TABLE mission (Mission_ID NUMBER, Ship_ID NUMBER, Code CLOB, Launched_Year NUMBER, Location CLOB, Speed_knots NUMBER, Fate CLOB)
CREATE TABLE ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Nationality CLOB, Tonnage NUMBER)
| Draw a bar chart showing the total number of every ship type by categorizing by nationality, and I want to rank by the Y-axis in desc. | SELECT Type, COUNT(Type) FROM ship GROUP BY Nationality, Type ORDER BY COUNT(Type) DESC | SELECT "Type", COUNT("Type") FROM "ship" GROUP BY "Nationality", "Type" ORDER BY COUNT("Type") DESC | 0.09668 |
CREATE TABLE table_43459 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Game Site" CLOB, "Attendance" FLOAT)
| After week 2, how many people attended the game at Rich Stadium against the Miami Dolphins? | SELECT COUNT("Attendance") FROM table_43459 WHERE "Game Site" = 'rich stadium' AND "Opponent" = 'miami dolphins' AND "Week" > '2' | SELECT COUNT("Attendance") FROM "table_43459" WHERE "Game Site" = 'rich stadium' AND "Opponent" = 'miami dolphins' AND "Week" > '2' | 0.12793 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| has patient 002-17348 received an pt test? | SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-17348')) AND lab.labname = 'pt' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-17348' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'pt' AND NOT "_u_1"."" IS NULL | 0.493164 |
CREATE TABLE table_33562 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Kickoff" CLOB, "Attendance" CLOB)
| What was the final of the New England Patriots game? | SELECT "Result" FROM table_33562 WHERE "Opponent" = 'new england patriots' | SELECT "Result" FROM "table_33562" WHERE "Opponent" = 'new england patriots' | 0.074219 |
CREATE TABLE table_1111 ("Rank" FLOAT, "Country" CLOB, "UNWTO Region" CLOB, "International tourist arrivals ( 2012 ) " CLOB, "International tourist arrivals ( 2011 ) " CLOB, "Change ( 2011 to 2012 ) " CLOB, "Change ( 2010 to 2011 ) " CLOB)
| Which country has a rank of 5? | SELECT "Country" FROM table_1111 WHERE "Rank" = '5' | SELECT "Country" FROM "table_1111" WHERE "Rank" = '5' | 0.051758 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who was hired before 2002-06-21, show me about the change of employee_id over hire_date in a line chart. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
CREATE TABLE table_22879262_13 (team VARCHAR2, date VARCHAR2)
| Where does the team play May 3? | SELECT team FROM table_22879262_13 WHERE date = "May 3" | SELECT "team" FROM "table_22879262_13" WHERE "May 3" = "date" | 0.05957 |
CREATE TABLE table_204_158 (id NUMBER, "official name" CLOB, "designation" CLOB, "area km2" NUMBER, "population" NUMBER, "parish" CLOB)
| the only rural community on the list | SELECT "official name" FROM table_204_158 WHERE "designation" = 'rural community' | SELECT "official name" FROM "table_204_158" WHERE "designation" = 'rural community' | 0.081055 |
CREATE TABLE table_55879 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What date is the crowd larger than 20,000? | SELECT "Date" FROM table_55879 WHERE "Crowd" > '20,000' | SELECT "Date" FROM "table_55879" WHERE "Crowd" > '20,000' | 0.055664 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is procedure long title of procedure icd9 code 3613? | SELECT procedures.long_title FROM procedures WHERE procedures.icd9_code = "3613" | SELECT "procedures"."long_title" FROM "procedures" WHERE "3613" = "procedures"."icd9_code" | 0.087891 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is date of death and discharge time of subject id 94762? | SELECT demographic.dod, demographic.dischtime FROM demographic WHERE demographic.subject_id = "94762" | SELECT "demographic"."dod", "demographic"."dischtime" FROM "demographic" WHERE "94762" = "demographic"."subject_id" | 0.112305 |
CREATE TABLE table_name_52 (decile NUMBER, area VARCHAR2, roll VARCHAR2)
| Can you tell me the lowest Decile that has the Area of matakohe, and the Roll larger than 86? | SELECT MIN(decile) FROM table_name_52 WHERE area = "matakohe" AND roll > 86 | SELECT MIN("decile") FROM "table_name_52" WHERE "area" = "matakohe" AND "roll" > 86 | 0.081055 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is average age of patients whose admission type is emergency and primary disease is sepsis? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "SEPSIS" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "EMERGENCY" = "demographic"."admission_type" AND "SEPSIS" = "demographic"."diagnosis" | 0.138672 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
| City and Language - Brains. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", u.Id AS "user_link", u.Reputation, COUNT(p.Id) FROM Users AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE UPPER(u.Location) LIKE UPPER('%' + '##YourLocation:string##' + '%') AND t.TagName = '##tagname##' GROUP BY u.Reputation, u.Id ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "u"."Id" AS "user_link", "u"."Reputation", COUNT("p"."Id") FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" = '##tagname##' WHERE UPPER("u"."Location") LIKE UPPER('%##YourLocation:string##%') GROUP BY "u"."Reputation", "u"."Id" ORDER BY "Reputation" DESC | 0.432617 |
CREATE TABLE table_name_70 (points NUMBER, touchdowns VARCHAR2, extra_points VARCHAR2)
| Which Points have Touchdowns larger than 0, and an Extra points smaller than 0? | SELECT SUM(points) FROM table_name_70 WHERE touchdowns > 0 AND extra_points < 0 | SELECT SUM("points") FROM "table_name_70" WHERE "extra_points" < 0 AND "touchdowns" > 0 | 0.084961 |
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