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CREATE TABLE table_45232 ("State" CLOB, "Type" CLOB, "Name" CLOB, "Title" CLOB, "Royal house" CLOB)
|
What type of state did the ruler have a title?
|
SELECT "Type" FROM table_45232 WHERE "Title" = 'ruler'
|
SELECT "Type" FROM "table_45232" WHERE "Title" = 'ruler'
| 0.054688
|
CREATE TABLE table_name_90 (date VARCHAR2, home_team VARCHAR2)
|
On what date did the match where fitzroy was the home team occur?
|
SELECT date FROM table_name_90 WHERE home_team = "fitzroy"
|
SELECT "date" FROM "table_name_90" WHERE "fitzroy" = "home_team"
| 0.0625
|
CREATE TABLE table_22024 ("Club" CLOB, "Played" CLOB, "Won" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
|
List all points against with a 0 try bonus and points for of 150.
|
SELECT "Points against" FROM table_22024 WHERE "Try bonus" = '0' AND "Points for" = '150'
|
SELECT "Points against" FROM "table_22024" WHERE "Points for" = '150' AND "Try bonus" = '0'
| 0.088867
|
CREATE TABLE table_58037 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
|
Who was the opponent on week 3?
|
SELECT "Opponent" FROM table_58037 WHERE "Week" = '3'
|
SELECT "Opponent" FROM "table_58037" WHERE "Week" = '3'
| 0.053711
|
CREATE TABLE table_76482 ("Model" CLOB, "Sensor Size" CLOB, "Resolution" CLOB, "Active Pixels" CLOB, "Display" CLOB)
|
What is the resolution of the camera that has 6726 x 5040 pixels and a model of afi 7?
|
SELECT "Resolution" FROM table_76482 WHERE "Active Pixels" = '6726 x 5040' AND "Model" = 'afi 7'
|
SELECT "Resolution" FROM "table_76482" WHERE "Active Pixels" = '6726 x 5040' AND "Model" = 'afi 7'
| 0.095703
|
CREATE TABLE table_name_48 (result VARCHAR2, role_episode VARCHAR2, year VARCHAR2)
|
What result has outstanding achievement in drama, as the role/episode with a year prior to 1995?
|
SELECT result FROM table_name_48 WHERE role_episode = "outstanding achievement in drama" AND year < 1995
|
SELECT "result" FROM "table_name_48" WHERE "outstanding achievement in drama" = "role_episode" AND "year" < 1995
| 0.109375
|
CREATE TABLE table_45367 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" FLOAT, "Avg. Finish" FLOAT, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
|
Name the average Top 5 which has a Position of 52nd with a Year smaller than 2000?
|
SELECT AVG("Top 5") FROM table_45367 WHERE "Position" = '52nd' AND "Year" < '2000'
|
SELECT AVG("Top 5") FROM "table_45367" WHERE "Position" = '52nd' AND "Year" < '2000'
| 0.082031
|
CREATE TABLE table_76312 ("Outcome" CLOB, "Date" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
|
What is Opponent In The Final, when Date is before 1991, and when Outcome is 'Runner-Up'?
|
SELECT "Opponent in the final" FROM table_76312 WHERE "Date" < '1991' AND "Outcome" = 'runner-up'
|
SELECT "Opponent in the final" FROM "table_76312" WHERE "Date" < '1991' AND "Outcome" = 'runner-up'
| 0.09668
|
CREATE TABLE table_10321124_1 (salmonella VARCHAR2, escherichia VARCHAR2)
|
what's the salmonella with escherichia being sepb (escn)
|
SELECT salmonella FROM table_10321124_1 WHERE escherichia = "SepB (EscN)"
|
SELECT "salmonella" FROM "table_10321124_1" WHERE "SepB (EscN)" = "escherichia"
| 0.077148
|
CREATE TABLE table_31079 ("Week of" CLOB, "Tournament" CLOB, "Champion" CLOB, "Runner-up" CLOB, "Semifinalists" CLOB, "Quarterfinalists" CLOB)
|
Who were the semifinalists in the tournament where Mats Wilander 7-6, 6-3 was declared the champion?
|
SELECT "Semifinalists" FROM table_31079 WHERE "Champion" = 'Mats Wilander 7-6, 6-3'
|
SELECT "Semifinalists" FROM "table_31079" WHERE "Champion" = 'Mats Wilander 7-6, 6-3'
| 0.083008
|
CREATE TABLE table_23950611_2 (market_cap_march_15__mil_usd__ VARCHAR2, april_2013_cum_rank VARCHAR2)
|
How many companies had an april 2013 cumulative ranking of 3?
|
SELECT COUNT(market_cap_march_15__mil_usd__) FROM table_23950611_2 WHERE april_2013_cum_rank = 3
|
SELECT COUNT("market_cap_march_15__mil_usd__") FROM "table_23950611_2" WHERE "april_2013_cum_rank" = 3
| 0.099609
|
CREATE TABLE table_name_25 (vietnamese VARCHAR2, chinese VARCHAR2)
|
Which VIETNAMESE has a CHINESE of / b r m du ?
|
SELECT vietnamese FROM table_name_25 WHERE chinese = "不如密多 / bùrúmìduō"
|
SELECT "vietnamese" FROM "table_name_25" WHERE "chinese" = "不如密多 / bùrúmìduō"
| 0.075195
|
CREATE TABLE table_name_43 (weight_ VARCHAR2, _height VARCHAR2, player VARCHAR2)
|
Which Weight & Height has a Player of james donaldson?
|
SELECT weight_ & _height FROM table_name_43 WHERE player = "james donaldson"
|
SELECT "weight_" & "_height" FROM "table_name_43" WHERE "james donaldson" = "player"
| 0.082031
|
CREATE TABLE table_23486853_8 (date VARCHAR2, record VARCHAR2)
|
What is every date with a record of 30 34 12?
|
SELECT date FROM table_23486853_8 WHERE record = "30–34–12"
|
SELECT "date" FROM "table_23486853_8" WHERE "30–34–12" = "record"
| 0.063477
|
CREATE TABLE table_name_31 (house VARCHAR2, boarding_day VARCHAR2)
|
Which house has a Boarding/Day value of Day?
|
SELECT house FROM table_name_31 WHERE boarding_day = "day"
|
SELECT "house" FROM "table_name_31" WHERE "boarding_day" = "day"
| 0.0625
|
CREATE TABLE table_name_54 (score VARCHAR2, location_attendance VARCHAR2)
|
What was the score of the game at Great Western Forum?
|
SELECT score FROM table_name_54 WHERE location_attendance = "great western forum"
|
SELECT "score" FROM "table_name_54" WHERE "great western forum" = "location_attendance"
| 0.084961
|
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
how many long term care hospital discharged patients have hemoptysis primary disease?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LONG TERM CARE HOSPITAL" AND demographic.diagnosis = "HEMOPYTSIS"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HEMOPYTSIS" = "demographic"."diagnosis" AND "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location"
| 0.177734
|
CREATE TABLE table_6346 ("Country" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
When the country is Cambodia and the total is smaller than 1 what's the lowest silver?
|
SELECT MIN("Silver") FROM table_6346 WHERE "Country" = 'cambodia' AND "Total" < '1'
|
SELECT MIN("Silver") FROM "table_6346" WHERE "Country" = 'cambodia' AND "Total" < '1'
| 0.083008
|
CREATE TABLE sampledata15 (sample_pk NUMBER, state CLOB, year CLOB, month CLOB, day CLOB, site CLOB, commod CLOB, source_id CLOB, variety CLOB, origin CLOB, country CLOB, disttype CLOB, commtype CLOB, claim CLOB, quantity NUMBER, growst CLOB, packst CLOB, distst CLOB)
CREATE TABLE resultsdata15 (sample_pk NUMBER, commod CLOB, commtype CLOB, lab CLOB, pestcode CLOB, testclass CLOB, concen NUMBER, lod NUMBER, conunit CLOB, confmethod CLOB, confmethod2 CLOB, annotate CLOB, quantitate CLOB, mean CLOB, extract CLOB, determin CLOB)
|
Rank the country of product origins in terms of pesticide residues detection.
|
SELECT T1.country FROM sampledata15 AS T1 JOIN resultsdata15 AS T2 ON T1.sample_pk = T2.sample_pk GROUP BY T1.country ORDER BY T2.concen
|
SELECT "T1"."country" FROM "sampledata15" "T1" JOIN "resultsdata15" "T2" ON "T1"."sample_pk" = "T2"."sample_pk" GROUP BY "T1"."country" ORDER BY "T2"."concen"
| 0.154297
|
CREATE TABLE table_27412 ("Country" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" FLOAT)
|
Name the stolen ends for germany
|
SELECT MIN("Stolen Ends") FROM table_27412 WHERE "Country" = 'Germany'
|
SELECT MIN("Stolen Ends") FROM "table_27412" WHERE "Country" = 'Germany'
| 0.070313
|
CREATE TABLE table_32042 ("Year" CLOB, "Division" CLOB, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "Challenge Cup" CLOB)
|
Tell me the league for year of 1915/16
|
SELECT "League" FROM table_32042 WHERE "Year" = '1915/16'
|
SELECT "League" FROM "table_32042" WHERE "Year" = '1915/16'
| 0.057617
|
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, and display by the bar in asc.
|
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID
|
SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY "JOB_ID"
| 0.241211
|
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
|
show me the top four most common diagnoses of patients with the age of 20s?
|
SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 4)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 29 AND "admissions"."age" >= 20 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL
| 0.629883
|
CREATE TABLE table_36841 ("Rank" CLOB, "Film" CLOB, "Director ( s ) " CLOB, "Producer ( s ) " CLOB, "Writer ( s ) " CLOB, "Production Company" CLOB)
|
For which production company did Sam Mccarthy produce?
|
SELECT "Production Company" FROM table_36841 WHERE "Producer(s)" = 'sam mccarthy'
|
SELECT "Production Company" FROM "table_36841" WHERE "Producer(s)" = 'sam mccarthy'
| 0.081055
|
CREATE TABLE table_test_8 ("id" NUMBER, "anemia" BOOLEAN, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "intravenous_pressors" BOOLEAN, "fever" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "vasopressors" BOOLEAN, "renal_disease" BOOLEAN, "temperature" FLOAT, "creatinine_clearance_cl" FLOAT, "planned_left_main_intervention" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" NUMBER, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "non_responsive_to_fluids" BOOLEAN, "infection_with_fever" BOOLEAN, "hypotension" BOOLEAN, "serum_creatinine" FLOAT, "unprotected_left_main_stenosis" NUMBER, "low_ejection_fraction" NUMBER, "hb" FLOAT, "NOUSE" FLOAT)
|
cardiogenic shock ( systolic blood pressure [sbp] < 80 mmhg and non _ responsive to fluids, or sbp < 100 mmhg with vasopressors, or requirement for an intra _ aortic balloon pump [iabp] ) .
|
SELECT * FROM table_test_8 WHERE cardiogenic_shock = 1 OR ((systolic_blood_pressure_sbp < 80 AND non_responsive_to_fluids = 1) OR (systolic_blood_pressure_sbp < 100 AND vasopressors = 1) OR intra_aortic_balloon_pump_iabp = 1)
|
SELECT * FROM "table_test_8" WHERE ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "non_responsive_to_fluids" = 1 OR "vasopressors" = 1) AND ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "systolic_blood_pressure_sbp" < 100) AND ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "systolic_blood_pressure_sbp" < 80 OR "vasopressors" = 1)
| 0.385742
|
CREATE TABLE table_27755603_11 (team VARCHAR2, date VARCHAR2)
|
What team did they play on april 6?
|
SELECT team FROM table_27755603_11 WHERE date = "April 6"
|
SELECT "team" FROM "table_27755603_11" WHERE "April 6" = "date"
| 0.061523
|
CREATE TABLE table_name_4 (week VARCHAR2, date VARCHAR2)
|
Week that has a Date of december 5, 1959 had what week?
|
SELECT week FROM table_name_4 WHERE date = "december 5, 1959"
|
SELECT "week" FROM "table_name_4" WHERE "date" = "december 5, 1959"
| 0.06543
|
CREATE TABLE table_72357 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
|
Incumbent Deborah Pryce was a member of what party?
|
SELECT "Party" FROM table_72357 WHERE "Incumbent" = 'Deborah Pryce'
|
SELECT "Party" FROM "table_72357" WHERE "Incumbent" = 'Deborah Pryce'
| 0.067383
|
CREATE TABLE table_64214 ("Position" FLOAT, "Gymnast" CLOB, "Floor" CLOB, "Pommel Horse" CLOB, "Rings" CLOB, "Vault" CLOB, "Parallel Bars" CLOB, "Horizontal Bar" CLOB, "Total" FLOAT)
|
What horizontal bar score also has a pommel horse score of 15.250?
|
SELECT "Horizontal Bar" FROM table_64214 WHERE "Pommel Horse" = '15.250'
|
SELECT "Horizontal Bar" FROM "table_64214" WHERE "Pommel Horse" = '15.250'
| 0.072266
|
CREATE TABLE table_55557 ("Channel" FLOAT, "Name" CLOB, "Language" CLOB, "Owner" CLOB, "Group" CLOB, "Type" CLOB)
|
Which type is filed under the Group Animated?
|
SELECT "Type" FROM table_55557 WHERE "Group" = 'animated'
|
SELECT "Type" FROM "table_55557" WHERE "Group" = 'animated'
| 0.057617
|
CREATE TABLE table_61974 ("Golden Rivers" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
|
What's the total wins of a team with more than 2 byes?
|
SELECT COUNT("Wins") FROM table_61974 WHERE "Byes" > '2'
|
SELECT COUNT("Wins") FROM "table_61974" WHERE "Byes" > '2'
| 0.056641
|
CREATE TABLE table_name_33 (high_rebounds VARCHAR2, game VARCHAR2)
|
Who had the highest rebounds on game 5?
|
SELECT high_rebounds FROM table_name_33 WHERE game = 5
|
SELECT "high_rebounds" FROM "table_name_33" WHERE "game" = 5
| 0.058594
|
CREATE TABLE table_28315 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Points" CLOB, "Position" CLOB)
|
How many teams were in the series championnat de france formula renault 2.0?
|
SELECT "Team" FROM table_28315 WHERE "Series" = 'Championnat de France Formula Renault 2.0'
|
SELECT "Team" FROM "table_28315" WHERE "Series" = 'Championnat de France Formula Renault 2.0'
| 0.09082
|
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
|
count the number of patients whose marital status is single and lab test category is chemistry?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab."CATEGORY" = "Chemistry"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status"
| 0.202148
|
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
|
Can you give a histogram to compare the number of flights to each destination city?, order bars in descending order.
|
SELECT destination, COUNT(destination) FROM flight GROUP BY destination ORDER BY destination DESC
|
SELECT "destination", COUNT("destination") FROM "flight" GROUP BY "destination" ORDER BY "destination" DESC
| 0.104492
|
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
|
For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the sum of employee_id bin hire_date by weekday in a bar chart, could you sort Y in ascending order?
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(EMPLOYEE_ID)
|
SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("EMPLOYEE_ID")
| 0.136719
|
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
|
what was the new prescription for patient 013-33898 today compared to the prescription yesterday?
|
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '013-33898') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '013-33898') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-33898' GROUP BY "patientunitstayid") SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL
| 0.652344
|
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
|
provide the number of patients whose admission type is urgent and drug code is phen100ivpb?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.formulary_drug_cd = "PHEN100IVPB"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PHEN100IVPB" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.242188
|
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
provide the number of patients whose gender is m and admission location is phys referral/normal deli?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_location = "PHYS REFERRAL/NORMAL DELI"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location"
| 0.167969
|
CREATE TABLE driver (Driver_ID NUMBER, Name CLOB, Party CLOB, Home_city CLOB, Age NUMBER)
CREATE TABLE school (School_ID NUMBER, Grade CLOB, School CLOB, Location CLOB, Type CLOB)
CREATE TABLE school_bus (School_ID NUMBER, Driver_ID NUMBER, Years_Working NUMBER, If_full_time BOOLEAN)
|
Please give me a pie chart to show the number of home cities of all drivers, show by the x axis from low to high.
|
SELECT Home_city, COUNT(Home_city) FROM driver GROUP BY Home_city ORDER BY Home_city
|
SELECT "Home_city", COUNT("Home_city") FROM "driver" GROUP BY "Home_city" ORDER BY "Home_city"
| 0.091797
|
CREATE TABLE table_41701 ("Name" CLOB, "Rank" FLOAT, "Out of" CLOB, "Source" CLOB, "Year" FLOAT)
|
What is the lowest rank that the protestants population holds?
|
SELECT MIN("Rank") FROM table_41701 WHERE "Name" = 'protestants population'
|
SELECT MIN("Rank") FROM "table_41701" WHERE "Name" = 'protestants population'
| 0.075195
|
CREATE TABLE table_26233 ("No" FLOAT, "Player" CLOB, "Height ( m ) " CLOB, "Height ( f ) " CLOB, "Position" CLOB, "Year born" FLOAT, "Current Club" CLOB)
|
What is the date of birth for basket baller called ido kozikaro
|
SELECT MAX("Year born") FROM table_26233 WHERE "Player" = 'Ido Kozikaro'
|
SELECT MAX("Year born") FROM "table_26233" WHERE "Player" = 'Ido Kozikaro'
| 0.072266
|
CREATE TABLE table_train_90 ("id" NUMBER, "gender" CLOB, "alzheimer" BOOLEAN, "breast_cancer" BOOLEAN, "smoking" BOOLEAN, "heart_rate" NUMBER, "age" FLOAT, "NOUSE" FLOAT)
|
female who are smokers.
|
SELECT * FROM table_train_90 WHERE gender = 'female' AND smoking = 1
|
SELECT * FROM "table_train_90" WHERE "gender" = 'female' AND "smoking" = 1
| 0.072266
|
CREATE TABLE table_13079 ("Date ( dd.mm.yyyy ) " CLOB, "Soviet Unit" CLOB, "Aircraft flown" CLOB, "Enemy Aircraft" CLOB, "Axis Unit" CLOB)
|
What was the date of the victory when the Axis Unit was 5./jg 3?
|
SELECT "Date (dd.mm.yyyy)" FROM table_13079 WHERE "Axis Unit" = '5./jg 3'
|
SELECT "Date (dd.mm.yyyy)" FROM "table_13079" WHERE "Axis Unit" = '5./jg 3'
| 0.073242
|
CREATE TABLE table_204_428 (id NUMBER, "season" CLOB, "east superleague" CLOB, "east premier league" CLOB, "east region south division" CLOB, "east region central division" CLOB, "east region north division" CLOB)
|
when was the last year bo ` ness united made the roll of honor for east superleague ?
|
SELECT "season" FROM table_204_428 WHERE "east superleague" = "bo'ness united" ORDER BY "season" DESC LIMIT 1
|
SELECT "season" FROM "table_204_428" WHERE "bo'ness united" = "east superleague" ORDER BY "season" DESC FETCH FIRST 1 ROWS ONLY
| 0.124023
|
CREATE TABLE table_48729 ("Total Points" FLOAT, "Score" CLOB, "Premiers" CLOB, "Runners Up" CLOB, "Details" CLOB)
|
What was the score where the total points was 50?
|
SELECT "Score" FROM table_48729 WHERE "Total Points" = '50'
|
SELECT "Score" FROM "table_48729" WHERE "Total Points" = '50'
| 0.05957
|
CREATE TABLE table_name_74 (Double VARCHAR2, suited_match VARCHAR2)
|
With a Suited Match of 13:1, what is the Double Non-Suited Match?
|
SELECT Double AS non_suited_match FROM table_name_74 WHERE suited_match = "13:1"
|
SELECT "Double" AS "non_suited_match" FROM "table_name_74" WHERE "13:1" = "suited_match"
| 0.085938
|
CREATE TABLE table_20142 ("Ecozone" CLOB, "Area ( km\\u00b2 ) " FLOAT, "Percentage of total area" CLOB, "Percentage of land area" CLOB, "Percentage protected" CLOB)
|
How large is the Boreal Shield in km2?
|
SELECT COUNT("Area (km\u00b2)") FROM table_20142 WHERE "Ecozone" = 'Boreal Shield'
|
SELECT COUNT("Area (km\u00b2)") FROM "table_20142" WHERE "Ecozone" = 'Boreal Shield'
| 0.082031
|
CREATE TABLE table_54052 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
|
What venue features an away side score of 11.11 (77)?
|
SELECT "Venue" FROM table_54052 WHERE "Away team score" = '11.11 (77)'
|
SELECT "Venue" FROM "table_54052" WHERE "Away team score" = '11.11 (77)'
| 0.070313
|
CREATE TABLE film_market_estimation (Estimation_ID NUMBER, Low_Estimate FLOAT, High_Estimate FLOAT, Film_ID NUMBER, Type CLOB, Market_ID NUMBER, Year NUMBER)
CREATE TABLE market (Market_ID NUMBER, Country CLOB, Number_cities NUMBER)
CREATE TABLE film (Film_ID NUMBER, Title CLOB, Studio CLOB, Director CLOB, Gross_in_dollar NUMBER)
|
List the studios of each film and the number of films produced by that studio by a bar chart, I want to display in descending by the Y.
|
SELECT Studio, COUNT(*) FROM film GROUP BY Studio ORDER BY COUNT(*) DESC
|
SELECT "Studio", COUNT(*) FROM "film" GROUP BY "Studio" ORDER BY COUNT(*) DESC
| 0.076172
|
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
|
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of founder and the sum of manufacturer , and group by attribute founder, and I want to sort X-axis in asc order.
|
SELECT Founder, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder
|
SELECT "Founder", SUM("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder"
| 0.155273
|
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
what is the number of living patients who are taking hydroxyzine hcl medication?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "0" AND prescriptions.drug = "Hydroxyzine HCl"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Hydroxyzine HCl" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "0" = "demographic"."expire_flag"
| 0.225586
|
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
|
Users with <= 101 rep && multiple SE identities.
|
SELECT COUNT(U.Id) FROM Users AS U WHERE U.Reputation <= 101
|
SELECT COUNT("U"."Id") FROM "Users" "U" WHERE "U"."Reputation" <= 101
| 0.067383
|
CREATE TABLE table_23248910_9 (team VARCHAR2, date VARCHAR2)
|
What is every team on March 5?
|
SELECT team FROM table_23248910_9 WHERE date = "March 5"
|
SELECT "team" FROM "table_23248910_9" WHERE "March 5" = "date"
| 0.060547
|
CREATE TABLE table_train_70 ("id" NUMBER, "pregnancy_or_lactation" BOOLEAN, "white_blood_cell_count_wbc" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "mean_arterial_pressure_map" NUMBER, "temperature" FLOAT, "oliguria" BOOLEAN, "surgery" BOOLEAN, "heart_rate" NUMBER, "systemic_inflammatory_response" BOOLEAN, "paco2" FLOAT, "burn_injury" NUMBER, "immature_form" NUMBER, "mental_status" BOOLEAN, "respiratory_rate" NUMBER, "age" FLOAT, "NOUSE" FLOAT)
|
age below 18
|
SELECT * FROM table_train_70 WHERE age < 18
|
SELECT * FROM "table_train_70" WHERE "age" < 18
| 0.045898
|
CREATE TABLE table_71270 ("Year" FLOAT, "Venue" CLOB, "Winner" CLOB, "Country" CLOB, "Score" FLOAT)
|
What were the total number scores after 2005, when the winner was David Patrick?
|
SELECT COUNT("Score") FROM table_71270 WHERE "Winner" = 'david patrick' AND "Year" > '2005'
|
SELECT COUNT("Score") FROM "table_71270" WHERE "Winner" = 'david patrick' AND "Year" > '2005'
| 0.09082
|
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
|
what is the cheapest fare for a one way flight from BOSTON to ATLANTA
|
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 CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND fare.round_trip_required = 'NO' 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 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" AND "FAREalias1"."round_trip_required" = 'NO') SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 1.510742
|
CREATE TABLE table_name_87 (name VARCHAR2, cerclis_id VARCHAR2, proposed VARCHAR2, county VARCHAR2)
|
What name was proposed on 12/30/1982 in rockingham county with a CERCLIS ID of nhd062004569?
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SELECT name FROM table_name_87 WHERE proposed = "12/30/1982" AND county = "rockingham" AND cerclis_id = "nhd062004569"
|
SELECT "name" FROM "table_name_87" WHERE "12/30/1982" = "proposed" AND "cerclis_id" = "nhd062004569" AND "county" = "rockingham"
| 0.125
|
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
|
For all employees who have the letters D or S in their first name, give me the comparison about the sum of manager_id over the hire_date bin hire_date by time, and I want to order in desc by the total number.
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SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(MANAGER_ID) DESC
|
SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("MANAGER_ID") DESC
| 0.139648
|
CREATE TABLE table_45399 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
|
Which record had a visitor of New Jersey Devils on May 7?
|
SELECT "Record" FROM table_45399 WHERE "Visitor" = 'new jersey devils' AND "Date" = 'may 7'
|
SELECT "Record" FROM "table_45399" WHERE "Date" = 'may 7' AND "Visitor" = 'new jersey devils'
| 0.09082
|
CREATE TABLE table_59513 ("Shooter" CLOB, "Event" CLOB, "Rank points" CLOB, "Score points" CLOB, "Total" CLOB)
|
What Shooter has a Total of 28?
|
SELECT "Shooter" FROM table_59513 WHERE "Total" = '28'
|
SELECT "Shooter" FROM "table_59513" WHERE "Total" = '28'
| 0.054688
|
CREATE TABLE Visits_Restaurant (StuID NUMBER, ResID NUMBER, Time TIMESTAMP, Spent FLOAT)
CREATE TABLE Type_Of_Restaurant (ResID NUMBER, ResTypeID NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Restaurant_Type (ResTypeID NUMBER, ResTypeName VARCHAR2, ResTypeDescription VARCHAR2)
CREATE TABLE Restaurant (ResID NUMBER, ResName VARCHAR2, Address VARCHAR2, Rating NUMBER)
|
For those female students with age is older than 18 who are not majoring in 600, tell me how many students of different first names using a bar chart, rank by the how many fname in desc please.
|
SELECT Fname, COUNT(Fname) FROM Student WHERE Age > 18 AND Major <> 600 AND Sex = 'F' GROUP BY Fname ORDER BY COUNT(Fname) DESC
|
SELECT "Fname", COUNT("Fname") FROM "Student" WHERE "Age" > 18 AND "Major" <> 600 AND "Sex" = 'F' GROUP BY "Fname" ORDER BY COUNT("Fname") DESC
| 0.139648
|
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
|
tell me the maximum heartrate for patient 016-18150's body on last month/05?
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SELECT MAX(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18150')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '05'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-18150' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL AND STRFTIME('%d', "vitalperiodic"."observationtime") = '05'
| 0.728516
|
CREATE TABLE table_21968 ("Parish ( Prestegjeld ) " CLOB, "Sub-Parish ( Sokn ) " CLOB, "Church Name" CLOB, "Year Built" FLOAT, "Location of the Church" CLOB)
|
Name the number of parish for vilnes kyrkje
|
SELECT COUNT("Parish (Prestegjeld)") FROM table_21968 WHERE "Church Name" = 'Vilnes kyrkje'
|
SELECT COUNT("Parish (Prestegjeld)") FROM "table_21968" WHERE "Church Name" = 'Vilnes kyrkje'
| 0.09082
|
CREATE TABLE table_name_23 (high_rebounds VARCHAR2, high_points VARCHAR2)
|
Which High rebounds has a High points of douglas (23)?
|
SELECT high_rebounds FROM table_name_23 WHERE high_points = "douglas (23)"
|
SELECT "high_rebounds" FROM "table_name_23" WHERE "douglas (23)" = "high_points"
| 0.078125
|
CREATE TABLE table_53302 ("D 50 O" CLOB, "D 49 \\u221a" CLOB, "D 48 \\u221a" CLOB, "D 47 \\u221a" CLOB, "D 46 \\u221a" CLOB, "D 45 \\u221a" CLOB, "D 44 \\u221a" CLOB, "D 43 \\u221a" CLOB, "D 42 \\u221a" CLOB, "D 41 \\u221a" CLOB)
|
Name the D 44 for when it has D 41 of r 41 +
|
SELECT "D 44 \u221a" FROM table_53302 WHERE "D 41 \u221a" = 'r 41 +'
|
SELECT "D 44 \u221a" FROM "table_53302" WHERE "D 41 \u221a" = 'r 41 +'
| 0.068359
|
CREATE TABLE table_69599 ("Event" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT, "Ranking" CLOB)
|
What Gold has a Silver greater than 30 and a Total less than 107?
|
SELECT "Gold" FROM table_69599 WHERE "Silver" > '30' AND "Total" < '107'
|
SELECT "Gold" FROM "table_69599" WHERE "Silver" > '30' AND "Total" < '107'
| 0.072266
|
CREATE TABLE table_203_800 (id NUMBER, "#" NUMBER, "president" CLOB, "president's party" CLOB, "senate with" NUMBER, "senate opposed" NUMBER, "house with" NUMBER, "house opposed" NUMBER, "years served" NUMBER, "elections won" NUMBER)
|
how many presidents were part of the whig party ?
|
SELECT COUNT("president") FROM table_203_800 WHERE "president's party" = 'whig'
|
SELECT COUNT("president") FROM "table_203_800" WHERE "president's party" = 'whig'
| 0.079102
|
CREATE TABLE table_204_27 (id NUMBER, "name" CLOB, "position" CLOB, "year" CLOB, "league\ apps" NUMBER, "league\ goals" NUMBER, "total\ apps" NUMBER, "total\ goals" NUMBER, "notes" CLOB)
|
which player 's number of total goals is the same as his number of total appearances ?
|
SELECT "name" FROM table_204_27 WHERE "total\ngoals" = "total\napps"
|
SELECT "name" FROM "table_204_27" WHERE "total\napps" = "total\ngoals"
| 0.068359
|
CREATE TABLE table_67997 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
|
What 1957 engine has a Chassis of connaught type b?
|
SELECT "Engine" FROM table_67997 WHERE "Chassis" = 'connaught type b' AND "Year" > '1957'
|
SELECT "Engine" FROM "table_67997" WHERE "Chassis" = 'connaught type b' AND "Year" > '1957'
| 0.088867
|
CREATE TABLE table_name_18 (Id VARCHAR2)
|
Which 2007 has a 2010 of A, and a 2006 of lq?
|
SELECT 2007 FROM table_name_18 WHERE 2010 = "a" AND 2006 = "lq"
|
SELECT 2007 FROM "table_name_18" WHERE "a" = 2010 AND "lq" = 2006
| 0.063477
|
CREATE TABLE table_54051 ("Year" CLOB, "Winner" CLOB, "Jockey" CLOB, "Trainer" CLOB, "Owner" CLOB, "Time" CLOB, "Purse" CLOB)
|
Who is the Trainer with the Year of 2013?
|
SELECT "Trainer" FROM table_54051 WHERE "Year" = '2013'
|
SELECT "Trainer" FROM "table_54051" WHERE "Year" = '2013'
| 0.055664
|
CREATE TABLE table_name_27 (total VARCHAR2, rank_points VARCHAR2)
|
Which Total has an olympic bronze medalist?
|
SELECT total FROM table_name_27 WHERE rank_points = "olympic bronze medalist"
|
SELECT "total" FROM "table_name_27" WHERE "olympic bronze medalist" = "rank_points"
| 0.081055
|
CREATE TABLE table_name_5 (record VARCHAR2, opponent VARCHAR2, loss VARCHAR2)
|
What was the record where the opponent was @ Orioles and the loss was to Leal (5-4)?
|
SELECT record FROM table_name_5 WHERE opponent = "@ orioles" AND loss = "leal (5-4)"
|
SELECT "record" FROM "table_name_5" WHERE "@ orioles" = "opponent" AND "leal (5-4)" = "loss"
| 0.089844
|
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
|
what year was the first deep learning paper published ?
|
SELECT DISTINCT dataset.datasetid, paper.year FROM dataset, keyphrase, paper, paperdataset, paperkeyphrase WHERE keyphrase.keyphrasename = 'deep learning' AND paperdataset.datasetid = dataset.datasetid AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paperkeyphrase.paperid = paperdataset.paperid AND paper.paperid = paperdataset.paperid ORDER BY paper.year
|
SELECT DISTINCT "dataset"."datasetid", "paper"."year" FROM "dataset" JOIN "paperdataset" ON "dataset"."datasetid" = "paperdataset"."datasetid" JOIN "paper" ON "paper"."paperid" = "paperdataset"."paperid" JOIN "paperkeyphrase" ON "paperdataset"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'deep learning' ORDER BY "paper"."year"
| 0.424805
|
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
|
Can I enroll in 400 -level classes for the Fall or Winter term ?
|
SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE ((SEMESTERalias0.semester = 'FA' AND SEMESTERalias0.year = 2016) OR (SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2017)) AND COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 400 AND 400 + 100 AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester
|
SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'EECS' AND "COURSEalias0"."number" <= 500 AND "COURSEalias0"."number" >= 400 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."semester" = 'WN') AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."year" = 2017) AND ("SEMESTERalias0"."semester" = 'WN' OR "SEMESTERalias0"."year" = 2016) AND ("SEMESTERalias0"."year" = 2016 OR "SEMESTERalias0"."year" = 2017) WHERE "earn_credit" = 'Y' AND "student_id" = 1
| 1.094727
|
CREATE TABLE table_19312274_3 (nation VARCHAR2, name VARCHAR2)
|
How many nations do the FMS international team represent?
|
SELECT COUNT(nation) FROM table_19312274_3 WHERE name = "FMS International"
|
SELECT COUNT("nation") FROM "table_19312274_3" WHERE "FMS International" = "name"
| 0.079102
|
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
|
Find the number of the names of catalog entries with level number 8.
|
SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name
|
SELECT "catalog_entry_name", COUNT("catalog_entry_name") FROM "Catalog_Contents" "t1" JOIN "Catalog_Contents_Additional_Attributes" "t2" ON "8" = "t2"."catalog_level_number" AND "t1"."catalog_entry_id" = "t2"."catalog_entry_id" GROUP BY "catalog_entry_name"
| 0.250977
|
CREATE TABLE authors (Id VARCHAR2)
|
How many authors are there?
|
SELECT COUNT(*) FROM authors
|
SELECT COUNT(*) FROM "authors"
| 0.029297
|
CREATE TABLE table_name_77 (nation VARCHAR2, rank NUMBER)
|
Name the nation with rank more than 9
|
SELECT nation FROM table_name_77 WHERE rank > 9
|
SELECT "nation" FROM "table_name_77" WHERE "rank" > 9
| 0.051758
|
CREATE TABLE table_11406866_2 (record VARCHAR2, attendance VARCHAR2)
|
what's the record where attendance is 61,350
|
SELECT record FROM table_11406866_2 WHERE attendance = "61,350"
|
SELECT "record" FROM "table_11406866_2" WHERE "61,350" = "attendance"
| 0.067383
|
CREATE TABLE table_10222 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
|
What is the record that has the Rose Garden 20,126 as the attendance?
|
SELECT "Record" FROM table_10222 WHERE "Attendance" = 'rose garden 20,126'
|
SELECT "Record" FROM "table_10222" WHERE "Attendance" = 'rose garden 20,126'
| 0.074219
|
CREATE TABLE table_name_34 (date VARCHAR2, loss VARCHAR2)
|
What was the date of the game with a loss of White (4-5)?
|
SELECT date FROM table_name_34 WHERE loss = "white (4-5)"
|
SELECT "date" FROM "table_name_34" WHERE "loss" = "white (4-5)"
| 0.061523
|
CREATE TABLE table_2004733_2 (population__2010_ VARCHAR2, population_density__2010_ VARCHAR2)
|
In 2010, how many people lived in cities with a population density of 3,965.02?
|
SELECT population__2010_ FROM table_2004733_2 WHERE population_density__2010_ = "3,965.02"
|
SELECT "population__2010_" FROM "table_2004733_2" WHERE "3,965.02" = "population_density__2010_"
| 0.09375
|
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
|
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of hire_date and the average of department_id bin hire_date by time, and order by the y-axis in desc.
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) DESC
|
SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("DEPARTMENT_ID") DESC
| 0.12207
|
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
|
What 's the easiest ULCS class ?
|
SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%ULCS%')
|
WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%ULCS%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload"
| 0.480469
|
CREATE TABLE table_23284271_11 (location_attendance VARCHAR2, high_points VARCHAR2)
|
Name the location attendance for dirk nowitzki , caron butler (17)
|
SELECT location_attendance FROM table_23284271_11 WHERE high_points = "Dirk Nowitzki , Caron Butler (17)"
|
SELECT "location_attendance" FROM "table_23284271_11" WHERE "Dirk Nowitzki , Caron Butler (17)" = "high_points"
| 0.108398
|
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
|
For all employees who have the letters D or S in their first name, give me the trend about manager_id over hire_date .
|
SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.103516
|
CREATE TABLE table_name_11 (round NUMBER, weight_class VARCHAR2, card VARCHAR2)
|
What is the smallest round for the welterweight class with a preliminary card?
|
SELECT MIN(round) FROM table_name_11 WHERE weight_class = "welterweight" AND card = "preliminary"
|
SELECT MIN("round") FROM "table_name_11" WHERE "card" = "preliminary" AND "weight_class" = "welterweight"
| 0.102539
|
CREATE TABLE table_name_24 (year VARCHAR2, third VARCHAR2)
|
In which year did Kati Klinzing finish 3rd?
|
SELECT year FROM table_name_24 WHERE third = "kati klinzing"
|
SELECT "year" FROM "table_name_24" WHERE "kati klinzing" = "third"
| 0.064453
|
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
|
provide the number of patients whose language is span and year of birth is less than 2197?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.dob_year < "2197"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2197" > "demographic"."dob_year" AND "SPAN" = "demographic"."language"
| 0.142578
|
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
|
For those employees who did not have any job in the past, show me about the distribution of hire_date and the sum of employee_id bin hire_date by time in a bar chart, list in asc by the total number.
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID)
|
SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("EMPLOYEE_ID")
| 0.148438
|
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
|
tell me the average hospital cost that involves a procedure called a remove skull tongs?
|
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'remove skull tongs')) GROUP BY cost.hadm_id) AS t1
|
WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'remove skull tongs' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" "t1"
| 0.433594
|
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
|
Show all allergies with number of students affected with a bar chart, sort bars in desc order.
|
SELECT Allergy, COUNT(*) FROM Has_Allergy GROUP BY Allergy ORDER BY Allergy DESC
|
SELECT "Allergy", COUNT(*) FROM "Has_Allergy" GROUP BY "Allergy" ORDER BY "Allergy" DESC
| 0.085938
|
CREATE TABLE table_2957 ("Vehicle" CLOB, "Operating mode" CLOB, "EPA rated All-electric range" CLOB, "EPA rated combined fuel economy" CLOB, "Clean electric grid California ( San Francisco ) " CLOB, "U.S. national average electric mix" CLOB, "Dirty electric grid Rocky Mountains ( Denver ) " CLOB)
|
What is the dirty electric grid rocky mountains (denver) for the vehicle with the clean electric grid california (san francisco) of 160 g/mi (99 g/km)?
|
SELECT "Dirty electric grid Rocky Mountains (Denver)" FROM table_2957 WHERE "Clean electric grid California (San Francisco)" = '160 g/mi (99 g/km)'
|
SELECT "Dirty electric grid Rocky Mountains (Denver)" FROM "table_2957" WHERE "Clean electric grid California (San Francisco)" = '160 g/mi (99 g/km)'
| 0.145508
|
CREATE TABLE table_12828723_3 (won VARCHAR2, club VARCHAR2)
|
what's the won with club being ammanford rfc
|
SELECT won FROM table_12828723_3 WHERE club = "Ammanford RFC"
|
SELECT "won" FROM "table_12828723_3" WHERE "Ammanford RFC" = "club"
| 0.06543
|
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
|
was there a microbiological test that was done to patient 031-3355 during this month?
|
SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355')) AND DATETIME(microlab.culturetakentime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-3355' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL
| 0.591797
|
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
|
Orig-Dupe pairs with disjunct tags.
|
SELECT Orig.Id AS OrigId, Orig.Id AS "post_link", Orig.Tags AS OrigTags, Orig.ViewCount AS OrigViewCount, Dupe.Id AS DupeId, Dupe.Id AS "post_link", Dupe.Tags AS DupeTags, Dupe.ViewCount AS DupeViewCount FROM PostLinks, Posts AS Orig, Posts AS Dupe WHERE PostLinks.Id NOT IN (SELECT PostLinks.Id FROM PostLinks, PostTags AS DupeTags, PostTags AS OrigTags WHERE PostLinks.LinkTypeId = 3 AND DupeTags.PostId = PostLinks.PostId AND PostLinks.RelatedPostId = OrigTags.PostId AND DupeTags.TagId = OrigTags.TagId) AND Orig.Id = PostLinks.RelatedPostId AND Dupe.Id = PostLinks.PostId AND PostLinks.LinkTypeId = 3 ORDER BY Orig.ViewCount + Dupe.ViewCount DESC
|
WITH "_u_0" AS (SELECT "PostLinks"."Id" FROM "PostLinks" JOIN "PostTags" "DupeTags" ON "DupeTags"."PostId" = "PostLinks"."PostId" JOIN "PostTags" "OrigTags" ON "DupeTags"."TagId" = "OrigTags"."TagId" AND "OrigTags"."PostId" = "PostLinks"."RelatedPostId" WHERE "PostLinks"."LinkTypeId" = 3 GROUP BY "Id") SELECT "Orig"."Id" AS "OrigId", "Orig"."Id" AS "post_link", "Orig"."Tags" AS "OrigTags", "Orig"."ViewCount" AS "OrigViewCount", "Dupe"."Id" AS "DupeId", "Dupe"."Id" AS "post_link", "Dupe"."Tags" AS "DupeTags", "Dupe"."ViewCount" AS "DupeViewCount" FROM "PostLinks" JOIN "Posts" "Dupe" ON "Dupe"."Id" = "PostLinks"."PostId" JOIN "Posts" "Orig" ON "Orig"."Id" = "PostLinks"."RelatedPostId" LEFT JOIN "_u_0" "_u_0" ON "PostLinks"."Id" = "_u_0"."" WHERE "PostLinks"."LinkTypeId" = 3 AND "_u_0"."" IS NULL ORDER BY "Orig"."ViewCount" + "Dupe"."ViewCount" DESC
| 0.837891
|
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
|
select AnswerCount,Title,Id from Posts.
|
SELECT AnswerCount, Title, Id FROM Posts
|
SELECT "AnswerCount", "Title", "Id" FROM "Posts"
| 0.046875
|
CREATE TABLE table_1307842_7 (population VARCHAR2, member_countries VARCHAR2)
|
What is the number of population for lithuania?
|
SELECT COUNT(population) FROM table_1307842_7 WHERE member_countries = "Lithuania"
|
SELECT COUNT("population") FROM "table_1307842_7" WHERE "Lithuania" = "member_countries"
| 0.085938
|
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