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CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
|
Bar chart x axis building y axis maximal capacity
|
SELECT building, MAX(capacity) FROM classroom GROUP BY building
|
SELECT "building", MAX("capacity") FROM "classroom" GROUP BY "building"
| 0.069336 |
CREATE TABLE table_name_33 (sites INT, headquarters VARCHAR, rank VARCHAR)
|
what is the lowest number of sites when the headquarters are in columbus, ga and the rank is smaller than 4?
|
SELECT MIN(sites) FROM table_name_33 WHERE headquarters = "columbus, ga" AND rank < 4
|
SELECT MIN("sites") FROM "table_name_33" WHERE "columbus, ga" = "headquarters" AND "rank" < 4
| 0.09082 |
CREATE TABLE albums (aid DECIMAL, title TEXT, year DECIMAL, label TEXT, type TEXT)
CREATE TABLE tracklists (albumid DECIMAL, position DECIMAL, songid DECIMAL)
CREATE TABLE instruments (songid DECIMAL, bandmateid DECIMAL, instrument TEXT)
CREATE TABLE vocals (songid DECIMAL, bandmate DECIMAL, type TEXT)
CREATE TABLE band (id DECIMAL, firstname TEXT, lastname TEXT)
CREATE TABLE songs (songid DECIMAL, title TEXT)
CREATE TABLE performance (songid DECIMAL, bandmate DECIMAL, stageposition TEXT)
|
What are all the songs in albums under label 'Universal Music Group'?
|
SELECT T3.title FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE t1.label = "Universal Music Group"
|
SELECT "T3"."title" FROM "albums" AS "T1" JOIN "tracklists" AS "T2" ON "T1"."aid" = "T2"."albumid" JOIN "songs" AS "T3" ON "T2"."songid" = "T3"."songid" WHERE "Universal Music Group" = "t1"."label"
| 0.192383 |
CREATE TABLE table_name_39 (attendance INT, date VARCHAR)
|
What is the smallest attendance number for December 3, 1944?
|
SELECT MIN(attendance) FROM table_name_39 WHERE date = "december 3, 1944"
|
SELECT MIN("attendance") FROM "table_name_39" WHERE "date" = "december 3, 1944"
| 0.077148 |
CREATE TABLE table_40858 ("Season" TEXT, "Round" TEXT, "Country" TEXT, "Opponent" TEXT, "Result" TEXT)
|
What was the result of the second round?
|
SELECT "Result" FROM table_40858 WHERE "Round" = 'second round'
|
SELECT "Result" FROM "table_40858" WHERE "Round" = 'second round'
| 0.063477 |
CREATE TABLE table_12828723_3 (lost VARCHAR, points_for VARCHAR)
|
what's the loss with points for being 594
|
SELECT lost FROM table_12828723_3 WHERE points_for = "594"
|
SELECT "lost" FROM "table_12828723_3" WHERE "594" = "points_for"
| 0.0625 |
CREATE TABLE table_27425 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
When the opponent was Yan Zi Jie Zheng, what was the outcome?
|
SELECT "Outcome" FROM table_27425 WHERE "Opponents" = 'Yan Zi Jie Zheng'
|
SELECT "Outcome" FROM "table_27425" WHERE "Opponents" = 'Yan Zi Jie Zheng'
| 0.072266 |
CREATE TABLE table_name_62 (season VARCHAR, player VARCHAR, opponent VARCHAR)
|
Which season did Tich Freeman play against opponent V Warwickshire?
|
SELECT season FROM table_name_62 WHERE player = "tich freeman" AND opponent = "v warwickshire"
|
SELECT "season" FROM "table_name_62" WHERE "opponent" = "v warwickshire" AND "player" = "tich freeman"
| 0.099609 |
CREATE TABLE table_80014 ("Model" TEXT, "Code name" TEXT, "CPU support" TEXT, "FSB / HT ( MHz ) " TEXT, "Southbridge" TEXT)
|
What is the Southbridge when the CPU support was athlon, athlonxp, duron( socketa ), alpha21264?
|
SELECT "Southbridge" FROM table_80014 WHERE "CPU support" = 'athlon, athlonxp, duron( socketa ), alpha21264'
|
SELECT "Southbridge" FROM "table_80014" WHERE "CPU support" = 'athlon, athlonxp, duron( socketa ), alpha21264'
| 0.107422 |
CREATE TABLE table_42242 ("City" TEXT, "Province" TEXT, "Country" TEXT, "IATA" TEXT, "Airport" TEXT)
|
Which airport is in Xinjiang province in the city Kuqa?
|
SELECT "Airport" FROM table_42242 WHERE "Province" = 'xinjiang' AND "City" = 'kuqa'
|
SELECT "Airport" FROM "table_42242" WHERE "City" = 'kuqa' AND "Province" = 'xinjiang'
| 0.083008 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is drug route of drug name lactated ringers?
|
SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Lactated Ringers"
|
SELECT "prescriptions"."route" FROM "prescriptions" WHERE "Lactated Ringers" = "prescriptions"."drug"
| 0.098633 |
CREATE TABLE table_name_45 (class VARCHAR, machine VARCHAR, points VARCHAR)
|
What class has nsr250 as the machine, with points greater than 97?
|
SELECT class FROM table_name_45 WHERE machine = "nsr250" AND points > 97
|
SELECT "class" FROM "table_name_45" WHERE "machine" = "nsr250" AND "points" > 97
| 0.078125 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
|
how many times was the cardiac angiography done?
|
SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'cardiac angiography'
|
SELECT COUNT(*) FROM "treatment" WHERE "treatment"."treatmentname" = 'cardiac angiography'
| 0.087891 |
CREATE TABLE table_name_64 (la_crescenta__montrose VARCHAR, glendale VARCHAR)
|
What is the figure for La Crescenta-Montrose when Gelndale is $57,112?
|
SELECT la_crescenta__montrose FROM table_name_64 WHERE glendale = "$57,112"
|
SELECT "la_crescenta__montrose" FROM "table_name_64" WHERE "$57,112" = "glendale"
| 0.079102 |
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
|
Show the number of engineers for different other details in a bar chart, and rank y-axis from low to high order please.
|
SELECT other_details, COUNT(other_details) FROM Maintenance_Engineers AS T1 JOIN Engineer_Skills AS T2 ON T1.engineer_id = T2.engineer_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY other_details ORDER BY COUNT(other_details)
|
SELECT "other_details", COUNT("other_details") FROM "Maintenance_Engineers" AS "T1" JOIN "Engineer_Skills" AS "T2" ON "T1"."engineer_id" = "T2"."engineer_id" JOIN "Skills" AS "T3" ON "T2"."skill_id" = "T3"."skill_id" GROUP BY "other_details" ORDER BY COUNT("other_details") NULLS FIRST
| 0.27832 |
CREATE TABLE table_29363 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
|
Name the outgoing manager for mutual consent and position 16th
|
SELECT "Outgoing manager" FROM table_29363 WHERE "Manner of departure" = 'Mutual consent' AND "Position in table" = '16th'
|
SELECT "Outgoing manager" FROM "table_29363" WHERE "Manner of departure" = 'Mutual consent' AND "Position in table" = '16th'
| 0.121094 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
|
what is the minimum total hospital cost which involves c1-c4 fx-cl/cord inj nos since 2105?
|
SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'c1-c4 fx-cl/cord inj nos')) AND STRFTIME('%y', cost.chargetime) >= '2105' GROUP BY cost.hadm_id) AS t1
|
WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'c1-c4 fx-cl/cord inj nos' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") >= '2105' GROUP BY "cost"."hadm_id") SELECT MIN("t1"."c1") FROM "t1" AS "t1"
| 0.488281 |
CREATE TABLE table_3494 ("Institution" TEXT, "Nickname" TEXT, "Location ( all in Minnesota ) " TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Joined" TEXT)
|
What was the earliest date an institution was founded that joined in 1977?
|
SELECT MIN("Founded") FROM table_3494 WHERE "Joined" = '1977'
|
SELECT MIN("Founded") FROM "table_3494" WHERE "Joined" = '1977'
| 0.061523 |
CREATE TABLE table_32333 ("Race Name" TEXT, "Circuit" TEXT, "City/Location" TEXT, "Date" TEXT, "Pole position" TEXT, "Winning driver" TEXT, "Winning team" TEXT, "Report" TEXT)
|
Where is Emerson Fittipaldi starting in Pole position?
|
SELECT "City/Location" FROM table_32333 WHERE "Pole position" = 'emerson fittipaldi'
|
SELECT "City/Location" FROM "table_32333" WHERE "Pole position" = 'emerson fittipaldi'
| 0.083984 |
CREATE TABLE table_27003223_4 (registered_voters VARCHAR, d_r_spread VARCHAR)
|
What is the percentage of registered voters in which the d-r spread is +14.3%?
|
SELECT registered_voters FROM table_27003223_4 WHERE d_r_spread = "+14.3%"
|
SELECT "registered_voters" FROM "table_27003223_4" WHERE "+14.3%" = "d_r_spread"
| 0.078125 |
CREATE TABLE table_name_71 (l2_cache VARCHAR, release_date VARCHAR)
|
What L2 cache had a release date of august 26, 2007?
|
SELECT l2_cache FROM table_name_71 WHERE release_date = "august 26, 2007"
|
SELECT "l2_cache" FROM "table_name_71" WHERE "august 26, 2007" = "release_date"
| 0.077148 |
CREATE TABLE table_15294880_2 (stage VARCHAR, winner VARCHAR, points_classification VARCHAR)
|
How many stages were there where the winner and the points classification were Alberto Contador?
|
SELECT COUNT(stage) FROM table_15294880_2 WHERE winner = "Alberto Contador" AND points_classification = "Alberto Contador"
|
SELECT COUNT("stage") FROM "table_15294880_2" WHERE "Alberto Contador" = "points_classification" AND "Alberto Contador" = "winner"
| 0.126953 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
|
show me ground transportation for DALLAS
|
SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'DALLAS' AND ground_service.city_code = city.city_code
|
SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'DALLAS'
| 0.167969 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is the number of patients whose insurance is medicare and procedure icd9 code is 9755?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicare" AND procedures.icd9_code = "9755"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9755" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Medicare" = "demographic"."insurance"
| 0.21582 |
CREATE TABLE table_name_27 (tournament VARCHAR)
|
What is 2007, when Tournament is 'Madrid'?
|
SELECT 2007 FROM table_name_27 WHERE tournament = "madrid"
|
SELECT 2007 FROM "table_name_27" WHERE "madrid" = "tournament"
| 0.060547 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
|
count the number of patients who were prescribed lactulose during the same month after receiving the venous cath nec procedure in the previous year.
|
SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'venous cath nec') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'lactulose' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month')
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'lactulose' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'venous cath nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.9375 |
CREATE TABLE table_name_8 (grid VARCHAR, time_retired VARCHAR)
|
What was the grid for suspension time/retired?
|
SELECT grid FROM table_name_8 WHERE time_retired = "suspension"
|
SELECT "grid" FROM "table_name_8" WHERE "suspension" = "time_retired"
| 0.067383 |
CREATE TABLE table_59528 ("Result" TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Location" TEXT)
|
Which event has Toa Naketoatama as an opponent?
|
SELECT "Event" FROM table_59528 WHERE "Opponent" = 'toa naketoatama'
|
SELECT "Event" FROM "table_59528" WHERE "Opponent" = 'toa naketoatama'
| 0.068359 |
CREATE TABLE table_202_74 (id DECIMAL, "year" TEXT, "film" TEXT, "role" TEXT, "other notes" TEXT)
|
how many roles did gina bellman play where her character was named christine ?
|
SELECT COUNT(*) FROM table_202_74 WHERE "role" = 'christine'
|
SELECT COUNT(*) FROM "table_202_74" WHERE "role" = 'christine'
| 0.060547 |
CREATE TABLE table_47048 ("Rank" FLOAT, "Title" TEXT, "Studio" TEXT, "Director ( s ) " TEXT, "Worldwide Gross" TEXT)
|
Which title placed in rank 7?
|
SELECT "Title" FROM table_47048 WHERE "Rank" = '7'
|
SELECT "Title" FROM "table_47048" WHERE "Rank" = '7'
| 0.050781 |
CREATE TABLE table_name_62 (visitor VARCHAR, date VARCHAR)
|
Who is the visitor on March 24?
|
SELECT visitor FROM table_name_62 WHERE date = "march 24"
|
SELECT "visitor" FROM "table_name_62" WHERE "date" = "march 24"
| 0.061523 |
CREATE TABLE table_name_23 (average VARCHAR, goals INT)
|
What is the average number for goals less than 73?
|
SELECT COUNT(average) FROM table_name_23 WHERE goals < 73
|
SELECT COUNT("average") FROM "table_name_23" WHERE "goals" < 73
| 0.061523 |
CREATE TABLE table_name_38 (score VARCHAR, date VARCHAR)
|
What was the score of the game on June 1?
|
SELECT score FROM table_name_38 WHERE date = "june 1"
|
SELECT "score" FROM "table_name_38" WHERE "date" = "june 1"
| 0.057617 |
CREATE TABLE table_17901155_4 (original_us_air_date VARCHAR, viewers__millions_ VARCHAR)
|
Which US air date had 4.4 million viewers?
|
SELECT original_us_air_date FROM table_17901155_4 WHERE viewers__millions_ = "4.4"
|
SELECT "original_us_air_date" FROM "table_17901155_4" WHERE "4.4" = "viewers__millions_"
| 0.085938 |
CREATE TABLE table_7413 ("Tournament" TEXT, "1995" TEXT, "1996" TEXT, "1997" TEXT, "1998" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT)
|
In the Hamburg Masters Tournament, during which Ji Nov k was absent(A) in 1996, how did he do in 2003?
|
SELECT "2003" FROM table_7413 WHERE "1996" = 'a' AND "Tournament" = 'hamburg masters'
|
SELECT "2003" FROM "table_7413" WHERE "1996" = 'a' AND "Tournament" = 'hamburg masters'
| 0.084961 |
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
|
show me the fare for DL flight 296 from ATLANTA to PHILADELPHIA
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (((flight.airline_code = 'DL') AND flight.flight_number = 296) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'DL' AND "flight"."flight_number" = 296 JOIN "airport_service" AS "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" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id"
| 0.689453 |
CREATE TABLE table_204_495 (id DECIMAL, "date" TEXT, "opponent" TEXT, "venue" TEXT, "result" TEXT, "attendance" DECIMAL, "scorers" TEXT)
|
how many games happened in 1987 ?
|
SELECT COUNT(*) FROM table_204_495 WHERE "date" = 1987
|
SELECT COUNT(*) FROM "table_204_495" WHERE "date" = 1987
| 0.054688 |
CREATE TABLE table_26561508_1 (patient_portrayer VARCHAR, directed_by VARCHAR, written_by VARCHAR)
|
What is the total number of patient portayers for the episode directed by Craig Zisk and written by Brad Falchuk?
|
SELECT COUNT(patient_portrayer) FROM table_26561508_1 WHERE directed_by = "Craig Zisk" AND written_by = "Brad Falchuk"
|
SELECT COUNT("patient_portrayer") FROM "table_26561508_1" WHERE "Brad Falchuk" = "written_by" AND "Craig Zisk" = "directed_by"
| 0.123047 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
what was the last time patient 002-55218 was prescribed carvedilol 25 mg po tabs and morphine until 50 months ago, at the same time?
|
SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'carvedilol 25 mg po tabs' AND patient.uniquepid = '002-55218' AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-50 month')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'morphine' AND patient.uniquepid = '002-55218' AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-50 month')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) ORDER BY t1.drugstarttime DESC LIMIT 1
|
WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '002-55218' WHERE "medication"."drugname" = 'morphine' AND DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-50 month')) SELECT "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '002-55218' JOIN "t2" AS "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'carvedilol 25 mg po tabs' AND DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-50 month') ORDER BY "medication"."drugstarttime" DESC NULLS LAST LIMIT 1
| 0.84082 |
CREATE TABLE table_2876467_3 (total_top_3_placements VARCHAR, region_represented VARCHAR)
|
How many values of total top 3 placements does Taiwan have?
|
SELECT COUNT(total_top_3_placements) FROM table_2876467_3 WHERE region_represented = "Taiwan"
|
SELECT COUNT("total_top_3_placements") FROM "table_2876467_3" WHERE "Taiwan" = "region_represented"
| 0.09668 |
CREATE TABLE table_62196 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
Who plays for Zimbabwe?
|
SELECT "Player" FROM table_62196 WHERE "Country" = 'zimbabwe'
|
SELECT "Player" FROM "table_62196" WHERE "Country" = 'zimbabwe'
| 0.061523 |
CREATE TABLE table_26142 ("Year" FLOAT, "Driver" TEXT, "Constructor" TEXT, "Location" TEXT, "Formula" TEXT, "Report" TEXT)
|
What was the constructor in 1975?
|
SELECT "Constructor" FROM table_26142 WHERE "Year" = '1975'
|
SELECT "Constructor" FROM "table_26142" WHERE "Year" = '1975'
| 0.05957 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
|
what is the number of patients diagnosed with acute respiratory failure - due to pulmonary infiltrates who didn't come back to the hospital within 2 months?
|
SELECT (SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute respiratory failure - due to pulmonary infiltrates') AS t1) - (SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute respiratory failure - due to pulmonary infiltrates') AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid WHERE t2.diagnosistime < patient.hospitaladmittime AND DATETIME(patient.hospitaladmittime) BETWEEN DATETIME(t2.diagnosistime) AND DATETIME(t2.diagnosistime, '+2 month'))
|
SELECT (SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'acute respiratory failure - due to pulmonary infiltrates') - (SELECT COUNT(DISTINCT "patient_2"."uniquepid") FROM "diagnosis" JOIN "patient" AS "patient_2" ON "diagnosis"."patientunitstayid" = "patient_2"."patientunitstayid" JOIN "patient" ON "diagnosis"."diagnosistime" < "patient"."hospitaladmittime" AND "patient"."uniquepid" = "patient_2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("patient"."hospitaladmittime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("patient"."hospitaladmittime") WHERE "diagnosis"."diagnosisname" = 'acute respiratory failure - due to pulmonary infiltrates')
| 0.801758 |
CREATE TABLE table_name_97 (club_team VARCHAR, player VARCHAR, overall VARCHAR, round VARCHAR)
|
What Club team has an average of 8, plays kaj linna, and has an overall larger than 131?
|
SELECT club_team FROM table_name_97 WHERE overall > 131 AND round = 8 AND player = "kaj linna"
|
SELECT "club_team" FROM "table_name_97" WHERE "kaj linna" = "player" AND "overall" > 131 AND "round" = 8
| 0.101563 |
CREATE TABLE table_name_91 (crowd INT, home_team VARCHAR)
|
What is the smallest crowd when collingwood is home team?
|
SELECT MIN(crowd) FROM table_name_91 WHERE home_team = "collingwood"
|
SELECT MIN("crowd") FROM "table_name_91" WHERE "collingwood" = "home_team"
| 0.072266 |
CREATE TABLE table_30693 ("Rank" FLOAT, "Player" TEXT, "Year" FLOAT, "Opponent" TEXT, "Passing yards" FLOAT, "Rushing yards" FLOAT, "Total offense" FLOAT)
|
How many rushing yards are listed when the passing yards are 244?
|
SELECT "Rushing yards" FROM table_30693 WHERE "Passing yards" = '244'
|
SELECT "Rushing yards" FROM "table_30693" WHERE "Passing yards" = '244'
| 0.069336 |
CREATE TABLE manager_half (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, half INT, g INT, w INT, l INT, rank INT)
CREATE TABLE player_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max INT, votes_first DECIMAL)
CREATE TABLE salary (year INT, team_id TEXT, league_id TEXT, player_id TEXT, salary INT)
CREATE TABLE all_star (player_id TEXT, year INT, game_num INT, game_id TEXT, team_id TEXT, league_id TEXT, gp DECIMAL, starting_pos DECIMAL)
CREATE TABLE team_franchise (franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT)
CREATE TABLE batting (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, g INT, ab DECIMAL, r DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, rbi DECIMAL, sb DECIMAL, cs DECIMAL, bb DECIMAL, so DECIMAL, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE fielding_outfield (player_id TEXT, year INT, stint INT, glf DECIMAL, gcf DECIMAL, grf DECIMAL)
CREATE TABLE home_game (year INT, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INT, openings INT, attendance INT)
CREATE TABLE manager_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won INT, points_max INT, votes_first INT)
CREATE TABLE appearances (year INT, team_id TEXT, league_id TEXT, player_id TEXT, g_all DECIMAL, gs DECIMAL, g_batting INT, g_defense DECIMAL, g_p INT, g_c INT, g_1b INT, g_2b INT, g_3b INT, g_ss INT, g_lf INT, g_cf INT, g_rf INT, g_of INT, g_dh DECIMAL, g_ph DECIMAL, g_pr DECIMAL)
CREATE TABLE hall_of_fame (player_id TEXT, yearid INT, votedby TEXT, ballots DECIMAL, needed DECIMAL, votes DECIMAL, inducted TEXT, category TEXT, needed_note TEXT)
CREATE TABLE fielding (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po DECIMAL, a DECIMAL, e DECIMAL, dp DECIMAL, pb DECIMAL, wp DECIMAL, sb DECIMAL, cs DECIMAL, zr DECIMAL)
CREATE TABLE college (college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE pitching (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts DECIMAL, h INT, er INT, hr INT, bb INT, so INT, baopp DECIMAL, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk INT, bfp DECIMAL, gf DECIMAL, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE player (player_id TEXT, birth_year DECIMAL, birth_month DECIMAL, birth_day DECIMAL, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year DECIMAL, death_month DECIMAL, death_day DECIMAL, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight DECIMAL, height DECIMAL, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT)
CREATE TABLE fielding_postseason (player_id TEXT, year INT, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po INT, a INT, e INT, dp INT, tp INT, pb DECIMAL, sb DECIMAL, cs DECIMAL)
CREATE TABLE park (park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE player_college (player_id TEXT, college_id TEXT, year INT)
CREATE TABLE postseason (year INT, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INT, losses INT, ties INT)
CREATE TABLE batting_postseason (year INT, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INT, ab INT, r INT, h INT, double INT, triple INT, hr INT, rbi INT, sb INT, cs DECIMAL, bb INT, so INT, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE team (year INT, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INT, g INT, ghome DECIMAL, w INT, l INT, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INT, ab INT, h INT, double INT, triple INT, hr INT, bb INT, so DECIMAL, sb DECIMAL, cs DECIMAL, hbp DECIMAL, sf DECIMAL, ra INT, er INT, era DECIMAL, cg INT, sho INT, sv INT, ipouts INT, ha INT, hra INT, bba INT, soa INT, e INT, dp DECIMAL, fp DECIMAL, name TEXT, park TEXT, attendance DECIMAL, bpf INT, ppf INT, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT)
CREATE TABLE team_half (year INT, league_id TEXT, team_id TEXT, half INT, div_id TEXT, div_win TEXT, rank INT, g INT, w INT, l INT)
CREATE TABLE manager_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes DECIMAL)
CREATE TABLE player_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes TEXT)
CREATE TABLE manager (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, g INT, w INT, l INT, rank DECIMAL, plyr_mgr TEXT)
CREATE TABLE pitching_postseason (player_id TEXT, year INT, round TEXT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts INT, h INT, er INT, hr INT, bb INT, so INT, baopp TEXT, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk DECIMAL, bfp DECIMAL, gf INT, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
|
Return a line chart on what is the average number of attendance at home games for each year?, show from low to high by the year.
|
SELECT year, AVG(attendance) FROM home_game GROUP BY year ORDER BY year
|
SELECT "year", AVG("attendance") FROM "home_game" GROUP BY "year" ORDER BY "year" NULLS FIRST
| 0.09082 |
CREATE TABLE table_48862 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What is Player, when Country is United States, and when Score is 70-72-70=212?
|
SELECT "Player" FROM table_48862 WHERE "Country" = 'united states' AND "Score" = '70-72-70=212'
|
SELECT "Player" FROM "table_48862" WHERE "Country" = 'united states' AND "Score" = '70-72-70=212'
| 0.094727 |
CREATE TABLE table_name_20 (country VARCHAR, airport VARCHAR)
|
Which country has the Narita International Airport?
|
SELECT country FROM table_name_20 WHERE airport = "narita international airport"
|
SELECT "country" FROM "table_name_20" WHERE "airport" = "narita international airport"
| 0.083984 |
CREATE TABLE table_203_864 (id DECIMAL, "place" TEXT, "player" TEXT, "country" TEXT, "score" TEXT, "to par" DECIMAL, "money ( $ ) " DECIMAL)
|
what was al espinosa 's total stroke count at the final of the 1929 us open ?
|
SELECT "score" FROM table_203_864 WHERE "player" = 'al espinosa'
|
SELECT "score" FROM "table_203_864" WHERE "player" = 'al espinosa'
| 0.064453 |
CREATE TABLE table_name_40 (prize_money VARCHAR, matches VARCHAR, new_entries_this_round VARCHAR)
|
What is the prize money amount after match 1, with 102 new entries to the round?
|
SELECT prize_money FROM table_name_40 WHERE matches > 1 AND new_entries_this_round = "102"
|
SELECT "prize_money" FROM "table_name_40" WHERE "102" = "new_entries_this_round" AND "matches" > 1
| 0.095703 |
CREATE TABLE personfriend (name TEXT, friend TEXT, year DECIMAL)
CREATE TABLE person (name TEXT, age DECIMAL, city TEXT, gender TEXT, job TEXT)
|
What are the ages of all of Zach's friends who are in the longest relationship?
|
SELECT T1.age FROM person AS T1 JOIN personfriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Zach' AND T2.year = (SELECT MAX(year) FROM personfriend WHERE name = 'Zach')
|
SELECT "T1"."age" FROM "person" AS "T1" JOIN "personfriend" AS "T2" ON "T1"."name" = "T2"."friend" AND "T2"."name" = 'Zach' AND "T2"."year" = (SELECT MAX("year") FROM "personfriend" WHERE "name" = 'Zach')
| 0.199219 |
CREATE TABLE table_77511 ("Name" TEXT, "Position" TEXT, "Height" TEXT, "Weight" FLOAT, "Year" TEXT, "Home Town" TEXT, "High School" TEXT)
|
What is the Name with a Year of junior, and a High School with wheatley?
|
SELECT "Name" FROM table_77511 WHERE "Year" = 'junior' AND "High School" = 'wheatley'
|
SELECT "Name" FROM "table_77511" WHERE "High School" = 'wheatley' AND "Year" = 'junior'
| 0.084961 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
is the respiration value of patient 027-136480 last measured on the current intensive care unit visit less than second to last measured on the current intensive care unit visit?
|
SELECT (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-136480') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.respiration IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1) < (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-136480') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.respiration IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1 OFFSET 1)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-136480' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "vitalperiodic"."respiration" FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC NULLS LAST LIMIT 1) < (SELECT "vitalperiodic"."respiration" FROM "vitalperiodic" LEFT JOIN "_u_4" AS "_u_4" ON "_u_4"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_4"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC NULLS LAST LIMIT 1 OFFSET 1)
| 1.191406 |
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
|
please show me all round trip flights from NEW YORK to MIAMI
|
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, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NEW YORK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "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" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MIAMI' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL
| 0.65918 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of patients whose age is less than 31 and drug route is ivpca?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "31" AND prescriptions.route = "IVPCA"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "31" > "demographic"."age"
| 0.209961 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what are the three most frequent drugs prescribed to the female patients 30s after they have been diagnosed with hypertension nos until 1 year ago in the same hospital visit?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hypertension nos') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'f') AND admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'f' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hypertension nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3
| 1.19043 |
CREATE TABLE table_name_28 (Id VARCHAR)
|
what is the 2012 performance when in 2011 is qf and 2010 is 3r?
|
SELECT 2012 FROM table_name_28 WHERE 2011 = "qf" AND 2010 = "3r"
|
SELECT 2012 FROM "table_name_28" WHERE "3r" = 2010 AND "qf" = 2011
| 0.064453 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the sum of manager_id over the hire_date bin hire_date by weekday, list y axis in asc order.
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(MANAGER_ID)
|
SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("MANAGER_ID") NULLS FIRST
| 0.210938 |
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
|
In next term is 511 offered ?
|
SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 511 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' AND "course"."number" = 511
| 0.306641 |
CREATE TABLE table_23248869_10 (score VARCHAR, location_attendance VARCHAR, game VARCHAR)
|
What is every score for location attendance of Madison Square Garden 19,763 and game less than 80.0?
|
SELECT score FROM table_23248869_10 WHERE location_attendance = "Madison Square Garden 19,763" AND game < 80.0
|
SELECT "score" FROM "table_23248869_10" WHERE "Madison Square Garden 19,763" = "location_attendance" AND "game" < 80.0
| 0.115234 |
CREATE TABLE table_42113 ("Source" TEXT, "Date" TEXT, "Clinton" TEXT, "Obama" TEXT, "Undecided" TEXT)
|
When has a Source of rasmussen reports?
|
SELECT "Date" FROM table_42113 WHERE "Source" = 'rasmussen reports'
|
SELECT "Date" FROM "table_42113" WHERE "Source" = 'rasmussen reports'
| 0.067383 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
provide the number of patients whose discharge location is disch-tran to psych hosp and procedure short title is exc/des hrt les,endovasc?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND procedures.short_title = "Exc/des hrt les,endovasc"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Exc/des hrt les,endovasc" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location"
| 0.261719 |
CREATE TABLE table_name_90 (loss VARCHAR, record VARCHAR)
|
What was the loss of the Brewers game when the record was 46-48?
|
SELECT loss FROM table_name_90 WHERE record = "46-48"
|
SELECT "loss" FROM "table_name_90" WHERE "46-48" = "record"
| 0.057617 |
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
Uber Employees on Stack Overflow by reputation.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Users.AboutMe) LIKE LOWER('% Uber %') ORDER BY Reputation DESC
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Users"."AboutMe") LIKE LOWER('% Uber %') ORDER BY "Reputation" DESC NULLS LAST
| 0.206055 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
how many male patients had the procedure icd9 code 9703?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.icd9_code = "9703"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9703" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "M" = "demographic"."gender"
| 0.206055 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
how many patients who had rdw lab test left against medical advice?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND lab.label = "RDW"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "RDW" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location"
| 0.21582 |
CREATE TABLE table_56867 ("Race" TEXT, "Circuit" TEXT, "Date" TEXT, "Pole position" TEXT, "Fastest lap" TEXT, "Winning driver" TEXT, "Constructor" TEXT, "Tyre" TEXT, "Report" TEXT)
|
When is the Mexican grand prix?
|
SELECT "Date" FROM table_56867 WHERE "Race" = 'mexican grand prix'
|
SELECT "Date" FROM "table_56867" WHERE "Race" = 'mexican grand prix'
| 0.066406 |
CREATE TABLE table_78430 ("Track" FLOAT, "Recorded" TEXT, "Catalogue" TEXT, "Release Date" TEXT, "Song Title" TEXT, "Time" TEXT)
|
What is the highest track for Burning Love?
|
SELECT MAX("Track") FROM table_78430 WHERE "Song Title" = 'burning love'
|
SELECT MAX("Track") FROM "table_78430" WHERE "Song Title" = 'burning love'
| 0.072266 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
|
how many patients received coronar arteriogr-2 cath after the procedure of rad pancreaticoduodenect since 2101 during the same month?
|
SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'rad pancreaticoduodenect') AND STRFTIME('%y', procedures_icd.charttime) >= '2101') AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'coronar arteriogr-2 cath') AND STRFTIME('%y', procedures_icd.charttime) >= '2101') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month')
|
WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'coronar arteriogr-2 cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2101') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'rad pancreaticoduodenect' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2101'
| 0.952148 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time, I want to show total number from high to low order.
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(SALARY) DESC
|
SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("SALARY") DESC NULLS LAST
| 0.142578 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is the number of patients whose admission type is emergency and procedure long title is percutaneous transluminal coronary angioplasty [ptca]?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Percutaneous transluminal coronary angioplasty [PTCA]"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Percutaneous transluminal coronary angioplasty [PTCA]" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type"
| 0.270508 |
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
|
Big Data, Machine learning and artificial intelligence technologies with R and Python.
|
SELECT * FROM Posts WHERE Id > 500000 AND FavoriteCount > 30
|
SELECT * FROM "Posts" WHERE "FavoriteCount" > 30 AND "Id" > 500000
| 0.064453 |
CREATE TABLE table_203_505 (id DECIMAL, "number" DECIMAL, "event" TEXT, "type" TEXT, "matthew" TEXT, "mark" TEXT, "luke" TEXT, "john" TEXT)
|
what event happened previous to the birth of john the baptist ?
|
SELECT "event" FROM table_203_505 WHERE id = (SELECT id FROM table_203_505 WHERE "event" = 'birth of john the baptist') - 1
|
SELECT "event" FROM "table_203_505" WHERE "id" = (SELECT "id" FROM "table_203_505" WHERE "event" = 'birth of john the baptist') - 1
| 0.12793 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, return a scatter chart about the correlation between commission_pct and department_id .
|
SELECT COMMISSION_PCT, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "COMMISSION_PCT", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.175781 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
provide me the number of patients who have abnormal lab test status and diagnosed for the need for prophylactic vaccination and inoculation against viral hepatitis.
|
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.short_title = "Need prphyl vc vrl hepat" AND lab.flag = "abnormal"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Need prphyl vc vrl hepat" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.274414 |
CREATE TABLE table_14342592_5 (player VARCHAR, extra_points VARCHAR)
|
Which players have made a total of 12 extra points?
|
SELECT player FROM table_14342592_5 WHERE extra_points = 12
|
SELECT "player" FROM "table_14342592_5" WHERE "extra_points" = 12
| 0.063477 |
CREATE TABLE Customers (customer_id INT, coupon_id INT, good_or_bad_customer VARCHAR, first_name VARCHAR, last_name VARCHAR, gender_mf VARCHAR, date_became_customer DATETIME, date_last_hire DATETIME)
CREATE TABLE View_Product_Availability (product_id INT, booking_id INT, status_date DATETIME, available_yn VARCHAR)
CREATE TABLE Payments (payment_id INT, booking_id INT, customer_id INT, payment_type_code VARCHAR, amount_paid_in_full_yn VARCHAR, payment_date DATETIME, amount_due DECIMAL, amount_paid DECIMAL)
CREATE TABLE Discount_Coupons (coupon_id INT, date_issued DATETIME, coupon_amount DECIMAL)
CREATE TABLE Bookings (booking_id INT, customer_id INT, booking_status_code VARCHAR, returned_damaged_yn VARCHAR, booking_start_date DATETIME, booking_end_date DATETIME, count_hired VARCHAR, amount_payable DECIMAL, amount_of_discount DECIMAL, amount_outstanding DECIMAL, amount_of_refund DECIMAL)
CREATE TABLE Products_Booked (booking_id INT, product_id INT, returned_yn VARCHAR, returned_late_yn VARCHAR, booked_count INT, booked_amount FLOAT)
CREATE TABLE Products_for_Hire (product_id INT, product_type_code VARCHAR, daily_hire_cost DECIMAL, product_name VARCHAR, product_description VARCHAR)
|
What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check, and count them by a bar chart
|
SELECT payment_date, COUNT(payment_date) FROM Payments WHERE amount_paid > 300 OR payment_type_code = 'Check'
|
SELECT "payment_date", COUNT("payment_date") FROM "Payments" WHERE "amount_paid" > 300 OR "payment_type_code" = 'Check'
| 0.116211 |
CREATE TABLE table_name_86 (year INT, tournament VARCHAR, result VARCHAR)
|
Name the least year for european indoor championships result of 3rd
|
SELECT MIN(year) FROM table_name_86 WHERE tournament = "european indoor championships" AND result = "3rd"
|
SELECT MIN("year") FROM "table_name_86" WHERE "3rd" = "result" AND "european indoor championships" = "tournament"
| 0.110352 |
CREATE TABLE club (Club_ID INT, name TEXT, Region TEXT, Start_year TEXT)
CREATE TABLE competition_result (Competition_ID INT, Club_ID_1 INT, Club_ID_2 INT, Score TEXT)
CREATE TABLE player (Player_ID INT, name TEXT, Position TEXT, Club_ID INT, Apps FLOAT, Tries FLOAT, Goals TEXT, Points FLOAT)
CREATE TABLE competition (Competition_ID INT, Year FLOAT, Competition_type TEXT, Country TEXT)
CREATE TABLE club_rank (Rank FLOAT, Club_ID INT, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
|
List the positions of players whose average number of points scored by that position is larger than 20, compare the number of positions, and order total number in descending order.
|
SELECT Position, COUNT(Position) FROM player GROUP BY Position HAVING AVG(Points) >= 20 ORDER BY COUNT(Position) DESC
|
SELECT "Position", COUNT("Position") FROM "player" GROUP BY "Position" HAVING AVG("Points") >= 20 ORDER BY COUNT("Position") DESC NULLS LAST
| 0.136719 |
CREATE TABLE table_10182 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Name the date where the away teams score was 9.10 (64)
|
SELECT "Date" FROM table_10182 WHERE "Away team score" = '9.10 (64)'
|
SELECT "Date" FROM "table_10182" WHERE "Away team score" = '9.10 (64)'
| 0.068359 |
CREATE TABLE table_24903 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT)
|
Which team had an outgoing manager of Behtash Fariba?
|
SELECT "Team" FROM table_24903 WHERE "Outgoing manager" = 'Behtash Fariba'
|
SELECT "Team" FROM "table_24903" WHERE "Outgoing manager" = 'Behtash Fariba'
| 0.074219 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
How many patients admitted in transfer within this facility are primarily diagnosed for copd exacerbation?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.diagnosis = "COPD EXACERBATION"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "COPD EXACERBATION" = "demographic"."diagnosis" AND "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location"
| 0.186523 |
CREATE TABLE table_name_98 (died VARCHAR, spouse_to VARCHAR)
|
When did the consort who had talal i as a spouse die?
|
SELECT died FROM table_name_98 WHERE spouse_to = "talal i"
|
SELECT "died" FROM "table_name_98" WHERE "spouse_to" = "talal i"
| 0.0625 |
CREATE TABLE table_name_71 (method VARCHAR, time VARCHAR)
|
What win method has a time of 2:32?
|
SELECT method FROM table_name_71 WHERE time = "2:32"
|
SELECT "method" FROM "table_name_71" WHERE "2:32" = "time"
| 0.056641 |
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
|
srinivasan iyer 's papers
|
SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'srinivasan iyer' AND writes.authorid = author.authorid
|
SELECT DISTINCT "writes"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'srinivasan iyer'
| 0.151367 |
CREATE TABLE ship (ship_id DECIMAL, name TEXT, type TEXT, built_year DECIMAL, class TEXT, flag TEXT)
CREATE TABLE captain (captain_id DECIMAL, name TEXT, ship_id DECIMAL, age TEXT, class TEXT, rank TEXT)
|
Count the number of ships.
|
SELECT COUNT(*) FROM ship
|
SELECT COUNT(*) FROM "ship"
| 0.026367 |
CREATE TABLE table_27654 ("Rank by average" FLOAT, "Place" FLOAT, "Couple" TEXT, "Total points" FLOAT, "Number of dances" FLOAT, "Average" TEXT)
|
What couple averaged 15.5?
|
SELECT "Couple" FROM table_27654 WHERE "Average" = '15.5'
|
SELECT "Couple" FROM "table_27654" WHERE "Average" = '15.5'
| 0.057617 |
CREATE TABLE table_67082 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" FLOAT)
|
What is the lane number of the swimmer with a time of 55.69?
|
SELECT "Lane" FROM table_67082 WHERE "Time" = '55.69'
|
SELECT "Lane" FROM "table_67082" WHERE "Time" = '55.69'
| 0.053711 |
CREATE TABLE table_28009 ("Episode #" FLOAT, "The W\\u00f8rd" TEXT, "Guest" TEXT, "Introductory phrase" TEXT, "Original airdate" TEXT, "Production code" FLOAT)
|
What was the minimum number of the episode that first aired August 11?
|
SELECT MIN("Episode #") FROM table_28009 WHERE "Original airdate" = 'August 11'
|
SELECT MIN("Episode #") FROM "table_28009" WHERE "Original airdate" = 'August 11'
| 0.079102 |
CREATE TABLE table_name_29 (home VARCHAR, visitor VARCHAR)
|
Name the home with toronto visiting
|
SELECT home FROM table_name_29 WHERE visitor = "toronto"
|
SELECT "home" FROM "table_name_29" WHERE "toronto" = "visitor"
| 0.060547 |
CREATE TABLE table_name_9 (points INT, club VARCHAR, goal_difference VARCHAR)
|
Which Points have a Club of cf calvo sotelo, and a Goal Difference larger than -3?
|
SELECT MAX(points) FROM table_name_9 WHERE club = "cf calvo sotelo" AND goal_difference > -3
|
SELECT MAX("points") FROM "table_name_9" WHERE "cf calvo sotelo" = "club" AND "goal_difference" > -3
| 0.097656 |
CREATE TABLE table_12163387_1 (mens_doubles VARCHAR, womens_singles VARCHAR)
|
Who won the mens doubles the year Alison Humby won the womens singles?
|
SELECT mens_doubles FROM table_12163387_1 WHERE womens_singles = "Alison Humby"
|
SELECT "mens_doubles" FROM "table_12163387_1" WHERE "Alison Humby" = "womens_singles"
| 0.083008 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many patients whose admission type is newborn and year of birth is less than 2197?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.dob_year < "2197"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2197" > "demographic"."dob_year" AND "NEWBORN" = "demographic"."admission_type"
| 0.151367 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
|
Find the number of the names of stadiums that some Australian swimmers have been to.
|
SELECT T4.Name, COUNT(T4.Name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID JOIN event AS t3 ON t2.Event_ID = t3.ID JOIN stadium AS t4 ON t4.ID = t3.Stadium_ID WHERE t1.Nationality = 'Australia' GROUP BY T4.Name
|
SELECT "T4"."Name", COUNT("T4"."Name") FROM "swimmer" AS "t1" JOIN "record" AS "t2" ON "t1"."ID" = "t2"."Swimmer_ID" JOIN "event" AS "t3" ON "t2"."Event_ID" = "t3"."ID" JOIN "stadium" AS "t4" ON "t3"."Stadium_ID" = "t4"."ID" WHERE "t1"."Nationality" = 'Australia' GROUP BY "T4"."Name"
| 0.277344 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
|
Top 50 users from Warszawa.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%warszawa%' OR UPPER(Location) LIKE '%WARSZAWA%' OR Location LIKE 'Warszawa' OR LOWER(Location) LIKE '%warsaw%' OR UPPER(Location) LIKE '%WARSAW%' OR Location LIKE 'Warsaw' ORDER BY Reputation DESC LIMIT 5000
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE "Location" LIKE 'Warsaw' OR "Location" LIKE 'Warszawa' OR LOWER("Location") LIKE '%warsaw%' OR LOWER("Location") LIKE '%warszawa%' OR UPPER("Location") LIKE '%WARSAW%' OR UPPER("Location") LIKE '%WARSZAWA%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 5000
| 0.37207 |
CREATE TABLE table_26397 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
|
List the title for the season episode number of 8.
|
SELECT "Title" FROM table_26397 WHERE "Season #" = '8'
|
SELECT "Title" FROM "table_26397" WHERE "Season #" = '8'
| 0.054688 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the correlation between salary and department_id in a scatter chart.
|
SELECT SALARY, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "SALARY", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.167969 |
CREATE TABLE table_47863 ("Date" TEXT, "Time" TEXT, "Opponent" TEXT, "Site" TEXT, "City" TEXT)
|
What date was the game held at UMBC Field?
|
SELECT "Date" FROM table_47863 WHERE "Site" = 'umbc field'
|
SELECT "Date" FROM "table_47863" WHERE "Site" = 'umbc field'
| 0.058594 |
CREATE TABLE table_name_70 (tournament VARCHAR)
|
What is the 2011 Australian Open and a 2010 QF?
|
SELECT 2011 FROM table_name_70 WHERE tournament = "australian open" AND 2010 = "qf"
|
SELECT 2011 FROM "table_name_70" WHERE "australian open" = "tournament" AND "qf" = 2010
| 0.084961 |
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