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stringlengths 28
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CREATE TABLE table_16292 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( millions ) " TEXT)
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Who directed the episode with production code 7aff03?
|
SELECT "Directed by" FROM table_16292 WHERE "Production code" = '7AFF03'
|
SELECT "Directed by" FROM "table_16292" WHERE "Production code" = '7AFF03'
| 0.072266 |
CREATE TABLE table_name_54 (pole_position VARCHAR, grand_prix VARCHAR)
|
What is the pole position of the Portuguese Grand Prix?
|
SELECT pole_position FROM table_name_54 WHERE grand_prix = "portuguese grand prix"
|
SELECT "pole_position" FROM "table_name_54" WHERE "grand_prix" = "portuguese grand prix"
| 0.085938 |
CREATE TABLE teachers (lastname VARCHAR, classroom VARCHAR)
CREATE TABLE list (classroom VARCHAR)
|
Find the last names of the teachers that teach fifth grade.
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SELECT DISTINCT T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE grade = 5
|
SELECT DISTINCT "T2"."lastname" FROM "list" AS "T1" JOIN "teachers" AS "T2" ON "T1"."classroom" = "T2"."classroom" WHERE "grade" = 5
| 0.128906 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those products with a price between 60 and 120, return a bar chart about the distribution of name and code .
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SELECT Name, Code FROM Products WHERE Price BETWEEN 60 AND 120
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SELECT "Name", "Code" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60
| 0.074219 |
CREATE TABLE table_name_79 (opponent VARCHAR, time VARCHAR)
|
Which opponent has a time of 1:50?
|
SELECT opponent FROM table_name_79 WHERE time = "1:50"
|
SELECT "opponent" FROM "table_name_79" WHERE "1:50" = "time"
| 0.058594 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
which type of drug is colchicine?
|
SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Colchicine"
|
SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "Colchicine" = "prescriptions"."drug"
| 0.09668 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose admission type is urgent and lab test name is amylase, ascites?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.label = "Amylase, Ascites"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Amylase, Ascites" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.206055 |
CREATE TABLE table_40250 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
|
How many Against have a Team of hespanha, and Points smaller than 30?
|
SELECT COUNT("Against") FROM table_40250 WHERE "Team" = 'hespanha' AND "Points" < '30'
|
SELECT COUNT("Against") FROM "table_40250" WHERE "Points" < '30' AND "Team" = 'hespanha'
| 0.085938 |
CREATE TABLE table_name_65 (radon VARCHAR, atomic_property VARCHAR)
|
Which Radon has Atomic property of outer shell electron configuration?
|
SELECT radon FROM table_name_65 WHERE atomic_property = "outer shell electron configuration"
|
SELECT "radon" FROM "table_name_65" WHERE "atomic_property" = "outer shell electron configuration"
| 0.095703 |
CREATE TABLE table_50099 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Grizzlies" TEXT, "School/Club Team" TEXT)
|
What was the nationality of a point guard position in 1999-2001?
|
SELECT "Nationality" FROM table_50099 WHERE "Position" = 'point guard' AND "Years for Grizzlies" = '1999-2001'
|
SELECT "Nationality" FROM "table_50099" WHERE "Position" = 'point guard' AND "Years for Grizzlies" = '1999-2001'
| 0.109375 |
CREATE TABLE table_79694 ("Tournament" TEXT, "Wins" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
|
What is the total number of top-25s for events with 0 wins?
|
SELECT COUNT("Top-25") FROM table_79694 WHERE "Wins" < '0'
|
SELECT COUNT("Top-25") FROM "table_79694" WHERE "Wins" < '0'
| 0.058594 |
CREATE TABLE table_4355 ("Pick" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT)
|
Tell me the nationality of pick of 153
|
SELECT "Nationality" FROM table_4355 WHERE "Pick" = '153'
|
SELECT "Nationality" FROM "table_4355" WHERE "Pick" = '153'
| 0.057617 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
give me the number of patients whose primary disease is hypertension;rule out coronary artery disease\cardiac cath and year of birth is less than 2110?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" AND demographic.dob_year < "2110"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2110" > "demographic"."dob_year" AND "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" = "demographic"."diagnosis"
| 0.196289 |
CREATE TABLE table_13428 ("Name" TEXT, "Type" TEXT, "Relation" TEXT, "Length" TEXT, "Year" FLOAT)
|
Which Relation has a Type of tv, and a Name of ohanami?
|
SELECT "Relation" FROM table_13428 WHERE "Type" = 'tv' AND "Name" = 'ohanami'
|
SELECT "Relation" FROM "table_13428" WHERE "Name" = 'ohanami' AND "Type" = 'tv'
| 0.077148 |
CREATE TABLE table_25037 ("Year" TEXT, "Network" TEXT, "Play-by-play" TEXT, "Color commentator ( s ) " TEXT, "Ice level reporters" TEXT, "Studio host" TEXT, "Studio analysts" TEXT)
|
Who is the studio host for the year 2010?
|
SELECT "Studio host" FROM table_25037 WHERE "Year" = '2010'
|
SELECT "Studio host" FROM "table_25037" WHERE "Year" = '2010'
| 0.05957 |
CREATE TABLE table_name_41 (location VARCHAR, mountain_peak VARCHAR, mountain_range VARCHAR, rank VARCHAR)
|
Which location includes Coast Mountains with a rank less than 18 at Skihist Mountain?
|
SELECT location FROM table_name_41 WHERE mountain_range = "coast mountains" AND rank < 18 AND mountain_peak = "skihist mountain"
|
SELECT "location" FROM "table_name_41" WHERE "coast mountains" = "mountain_range" AND "mountain_peak" = "skihist mountain" AND "rank" < 18
| 0.134766 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
This query fetches questions sorted by the title length.. This query fetches questions sorted by the title length.
|
SELECT LENGTH(Title) AS "length", Title, Id AS "post_link" FROM Posts WHERE PostTypeId = 1 ORDER BY LENGTH(Title)
|
SELECT LENGTH("Title") AS "length", "Title", "Id" AS "post_link" FROM "Posts" WHERE "PostTypeId" = 1 ORDER BY LENGTH("Title") NULLS FIRST
| 0.133789 |
CREATE TABLE table_name_13 (tournament VARCHAR, date VARCHAR)
|
What is the tournament on Apr 6?
|
SELECT tournament FROM table_name_13 WHERE date = "apr 6"
|
SELECT "tournament" FROM "table_name_13" WHERE "apr 6" = "date"
| 0.061523 |
CREATE TABLE table_26083 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
|
What team did the Maple Leafs score 9 points against?
|
SELECT "Opponent" FROM table_26083 WHERE "Points" = '9'
|
SELECT "Opponent" FROM "table_26083" WHERE "Points" = '9'
| 0.055664 |
CREATE TABLE table_203_717 (id DECIMAL, "number" DECIMAL, "year built" DECIMAL, "livery" TEXT, "current status" TEXT, "notes" TEXT)
|
how many cars were created before 1960 ?
|
SELECT COUNT(*) FROM table_203_717 WHERE "year built" < 1960
|
SELECT COUNT(*) FROM "table_203_717" WHERE "year built" < 1960
| 0.060547 |
CREATE TABLE table_name_40 (year INT, director VARCHAR, english_title VARCHAR)
|
What is the submission Year of the Film The Dark Side of the Moon directed by Erik Clausen?
|
SELECT SUM(year) FROM table_name_40 WHERE director = "erik clausen" AND english_title = "the dark side of the moon"
|
SELECT SUM("year") FROM "table_name_40" WHERE "director" = "erik clausen" AND "english_title" = "the dark side of the moon"
| 0.120117 |
CREATE TABLE table_name_29 (opponents_in_final VARCHAR, date VARCHAR)
|
Who were the opponents in the final on 9 January 1994?
|
SELECT opponents_in_final FROM table_name_29 WHERE date = "9 january 1994"
|
SELECT "opponents_in_final" FROM "table_name_29" WHERE "9 january 1994" = "date"
| 0.078125 |
CREATE TABLE table_203_603 (id DECIMAL, "service" TEXT, "service id" TEXT, "bit rate" TEXT, "audio channels" TEXT, "description" TEXT, "analogue availability" TEXT)
|
name the only indie/alternative/rock music radio station broadcasted by mxr yorkshire .
|
SELECT "service" FROM table_203_603 WHERE "description" = 'indie / alternative / rock music'
|
SELECT "service" FROM "table_203_603" WHERE "description" = 'indie / alternative / rock music'
| 0.091797 |
CREATE TABLE table_70622 ("Team" TEXT, "Truck ( s ) " TEXT, "Driver ( s ) " TEXT, "Primary Sponsor ( s ) " TEXT, "Owner ( s ) " TEXT, "Crew Chief" TEXT, "Rounds" FLOAT)
|
Who was the crew chief for the team from Make Motorsports?
|
SELECT "Crew Chief" FROM table_70622 WHERE "Team" = 'make motorsports'
|
SELECT "Crew Chief" FROM "table_70622" WHERE "Team" = 'make motorsports'
| 0.070313 |
CREATE TABLE table_name_81 (score VARCHAR, tie_no VARCHAR)
|
What is Score, when Tie No is 17?
|
SELECT score FROM table_name_81 WHERE tie_no = "17"
|
SELECT "score" FROM "table_name_81" WHERE "17" = "tie_no"
| 0.055664 |
CREATE TABLE teachers (lastname TEXT, firstname TEXT, classroom DECIMAL)
CREATE TABLE list (lastname TEXT, firstname TEXT, grade DECIMAL, classroom DECIMAL)
|
Which teacher teaches the most students? Give me the first name and last name of the teacher.
|
SELECT T2.firstname, T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom GROUP BY T2.firstname, T2.lastname ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "T2"."firstname", "T2"."lastname" FROM "list" AS "T1" JOIN "teachers" AS "T2" ON "T1"."classroom" = "T2"."classroom" GROUP BY "T2"."firstname", "T2"."lastname" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.203125 |
CREATE TABLE table_22756 ("Name" TEXT, "Country" TEXT, "Seasons" TEXT, "Championship Titles" TEXT, "Race entries ( Starts ) " TEXT, "Poles" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Fastest Laps" FLOAT, "Points" TEXT)
|
Name the country for hideki noda category:articles with hcards
|
SELECT "Country" FROM table_22756 WHERE "Name" = 'Hideki Noda Category:Articles with hCards'
|
SELECT "Country" FROM "table_22756" WHERE "Name" = 'Hideki Noda Category:Articles with hCards'
| 0.091797 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
find out the number of patients less than 79 years who have been diagnosed with wheelchair dependence.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Wheelchair dependence"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Wheelchair dependence" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "79" > "demographic"."age"
| 0.219727 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
|
is there a flight from ATLANTA to SAN FRANCISCO that stops over in DENVER
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DENVER' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DENVER'
| 0.796875 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
|
What's my Pundit badge progress?. How many of my comments have scores of 5 and higher, thus qualifying for the Pundit badge?
|
SELECT Score, Text, PostId AS "post_link" FROM Comments WHERE UserId = @UserId ORDER BY Score DESC, Text
|
SELECT "Score", "Text", "PostId" AS "post_link" FROM "Comments" WHERE "UserId" = $UserId ORDER BY "Score" DESC NULLS LAST, "Text" NULLS FIRST
| 0.137695 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
Name the drug type and route of administration for the drug with drug code KPHO45I.
|
SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "KPHO45I"
|
SELECT "prescriptions"."drug_type", "prescriptions"."route" FROM "prescriptions" WHERE "KPHO45I" = "prescriptions"."formulary_drug_cd"
| 0.130859 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose drug code is norebase and lab test fluid is blood?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "NOREBASE" AND lab.fluid = "Blood"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "NOREBASE" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.274414 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is the number of patients whose ethnicity is black/african american and drug code is myco500i?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND prescriptions.formulary_drug_cd = "MYCO500I"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MYCO500I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity"
| 0.25 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
|
Find meter_200 and the amount of meter_200 , and group by attribute meter_200, and visualize them by a bar chart, rank in desc by the total number.
|
SELECT meter_200, COUNT(meter_200) FROM swimmer GROUP BY meter_200 ORDER BY COUNT(meter_200) DESC
|
SELECT "meter_200", COUNT("meter_200") FROM "swimmer" GROUP BY "meter_200" ORDER BY COUNT("meter_200") DESC NULLS LAST
| 0.115234 |
CREATE TABLE table_1046454_1 (year INT, regular_season VARCHAR)
|
what being the maximum year where regular season is 4th, northwest
|
SELECT MAX(year) FROM table_1046454_1 WHERE regular_season = "4th, Northwest"
|
SELECT MAX("year") FROM "table_1046454_1" WHERE "4th, Northwest" = "regular_season"
| 0.081055 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
what time patient 027-24468 got a lab test for the first time on the first hospital encounter?
|
SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-24468' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) ORDER BY lab.labresulttime LIMIT 1
|
SELECT "lab"."labresulttime" FROM "lab" WHERE "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-24468' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1
| 0.428711 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Return a bar chart about the distribution of All_Road and Team_ID , sort from low to high by the y axis.
|
SELECT All_Road, Team_ID FROM basketball_match ORDER BY Team_ID
|
SELECT "All_Road", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" NULLS FIRST
| 0.081055 |
CREATE TABLE table_name_24 (date VARCHAR, result VARCHAR)
|
Name the date for result of eng by 23 runs
|
SELECT date FROM table_name_24 WHERE result = "eng by 23 runs"
|
SELECT "date" FROM "table_name_24" WHERE "eng by 23 runs" = "result"
| 0.066406 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
give me the number of patients whose admission type is urgent and procedure icd9 code is 4105?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "4105"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4105" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.21875 |
CREATE TABLE customer_orders (order_id VARCHAR, customer_id VARCHAR, order_status_code VARCHAR, order_date VARCHAR)
|
List the order id, customer id for orders in Cancelled status, ordered by their order dates.
|
SELECT order_id, customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date
|
SELECT "order_id", "customer_id" FROM "customer_orders" WHERE "Cancelled" = "order_status_code" ORDER BY "order_date" NULLS FIRST
| 0.125977 |
CREATE TABLE table_25768 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( millions ) " TEXT)
|
When did 6.09 million people in the US see the original airing of an episode of the show?
|
SELECT "Original air date" FROM table_25768 WHERE "U.S. viewers (millions)" = '6.09'
|
SELECT "Original air date" FROM "table_25768" WHERE "U.S. viewers (millions)" = '6.09'
| 0.083984 |
CREATE TABLE table_79886 ("Year" FLOAT, "Chassis" TEXT, "Engine" TEXT, "Tyres" TEXT, "Points" TEXT)
|
What is the tyres for the JBW type 2 chassis?
|
SELECT "Tyres" FROM table_79886 WHERE "Chassis" = 'jbw type 2'
|
SELECT "Tyres" FROM "table_79886" WHERE "Chassis" = 'jbw type 2'
| 0.0625 |
CREATE TABLE table_13986 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
|
What episode number in the series was 'facing the music' that was episode number greater than 6 in the season?
|
SELECT MIN("No. in series") FROM table_13986 WHERE "Title" = 'facing the music' AND "No. in season" > '6'
|
SELECT MIN("No. in series") FROM "table_13986" WHERE "No. in season" > '6' AND "Title" = 'facing the music'
| 0.104492 |
CREATE TABLE table_name_67 (rank INT, date VARCHAR, attendance VARCHAR)
|
What's the rank for February 11, 2012 with less than 18,735 in attendance?
|
SELECT AVG(rank) FROM table_name_67 WHERE date = "february 11, 2012" AND attendance < 18 OFFSET 735
|
SELECT AVG("rank") FROM "table_name_67" WHERE "attendance" < 18 AND "date" = "february 11, 2012" OFFSET 735
| 0.104492 |
CREATE TABLE table_28750142_1 (distance VARCHAR, jockey VARCHAR)
|
What is the distance of jockey Jason Titley?
|
SELECT distance FROM table_28750142_1 WHERE jockey = "Jason Titley"
|
SELECT "distance" FROM "table_28750142_1" WHERE "Jason Titley" = "jockey"
| 0.071289 |
CREATE TABLE table_13152 ("Elected" TEXT, "Assembled" TEXT, "Dissolved" TEXT, "1st member" TEXT, "2nd member" TEXT)
|
What is the dissolved date of the parliament assembled on 16 January 1621 with richard taylor as the 2nd member?
|
SELECT "Dissolved" FROM table_13152 WHERE "2nd member" = 'richard taylor' AND "Assembled" = '16 january 1621'
|
SELECT "Dissolved" FROM "table_13152" WHERE "2nd member" = 'richard taylor' AND "Assembled" = '16 january 1621'
| 0.108398 |
CREATE TABLE table_21346767_3 (contestant VARCHAR, hometown VARCHAR)
|
Name the contestant for villa hermosa
|
SELECT contestant FROM table_21346767_3 WHERE hometown = "Villa Hermosa"
|
SELECT "contestant" FROM "table_21346767_3" WHERE "Villa Hermosa" = "hometown"
| 0.076172 |
CREATE TABLE table_name_54 (date VARCHAR, week VARCHAR)
|
What Date is Week 1?
|
SELECT date FROM table_name_54 WHERE week = 1
|
SELECT "date" FROM "table_name_54" WHERE "week" = 1
| 0.049805 |
CREATE TABLE table_name_62 (attendance INT, date VARCHAR)
|
Name the most attendance for 19 february 2005
|
SELECT MAX(attendance) FROM table_name_62 WHERE date = "19 february 2005"
|
SELECT MAX("attendance") FROM "table_name_62" WHERE "19 february 2005" = "date"
| 0.077148 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
Count the number of inpatient hospital admission patients who have neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues/bone marrow transplant as their primary disease.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT" = "demographic"."diagnosis" AND "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location"
| 0.265625 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
|
Top SO Users from Bangladesh.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%bangladesh%' OR LOWER(Location) LIKE '%bd' ORDER BY Reputation DESC
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%bangladesh%' OR LOWER("Location") LIKE '%bd' ORDER BY "Reputation" DESC NULLS LAST
| 0.227539 |
CREATE TABLE table_53127 ("Year" FLOAT, "Award Ceremony" TEXT, "Category" TEXT, "Nominee" TEXT, "Result" TEXT)
|
Which Nominee has a Category of outstanding musical?
|
SELECT "Nominee" FROM table_53127 WHERE "Category" = 'outstanding musical'
|
SELECT "Nominee" FROM "table_53127" WHERE "Category" = 'outstanding musical'
| 0.074219 |
CREATE TABLE table_name_44 (country VARCHAR, opponent VARCHAR)
|
What country had an opponent of Sampdoria?
|
SELECT country FROM table_name_44 WHERE opponent = "sampdoria"
|
SELECT "country" FROM "table_name_44" WHERE "opponent" = "sampdoria"
| 0.066406 |
CREATE TABLE table_16225 ("Week" FLOAT, "Opponent" TEXT, "Result" TEXT, "Stadium" TEXT, "Record" TEXT, "Attendance" FLOAT)
|
In which stadium is the week 5 game played?
|
SELECT "Stadium" FROM table_16225 WHERE "Week" = '5'
|
SELECT "Stadium" FROM "table_16225" WHERE "Week" = '5'
| 0.052734 |
CREATE TABLE table_18254488_2 (uefa_champions_league INT)
|
What is the highest amount of uefa champion leagues?
|
SELECT MAX(uefa_champions_league) FROM table_18254488_2
|
SELECT MAX("uefa_champions_league") FROM "table_18254488_2"
| 0.057617 |
CREATE TABLE table_name_26 (round INT, position VARCHAR)
|
How many rounds have goalie as the position?
|
SELECT SUM(round) FROM table_name_26 WHERE position = "goalie"
|
SELECT SUM("round") FROM "table_name_26" WHERE "goalie" = "position"
| 0.066406 |
CREATE TABLE party_events (event_id DECIMAL, event_name TEXT, party_id DECIMAL, member_in_charge_id DECIMAL)
CREATE TABLE region (region_id DECIMAL, region_name TEXT, date TEXT, label TEXT, format TEXT, catalogue TEXT)
CREATE TABLE party (party_id DECIMAL, minister TEXT, took_office TEXT, left_office TEXT, region_id DECIMAL, party_name TEXT)
CREATE TABLE member (member_id DECIMAL, member_name TEXT, party_id TEXT, in_office TEXT)
|
Count the number of different parties.
|
SELECT COUNT(DISTINCT party_name) FROM party
|
SELECT COUNT(DISTINCT "party_name") FROM "party"
| 0.046875 |
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
Container trends (# of Questions per Month).
|
SELECT DATEADD(mm, (YEAR(Posts.CreationDate) - 1900) * 12 + MONTH(Posts.CreationDate) - 1, 0) AS Month, Tags.TagName, COUNT(*) AS Questions FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('docker', 'kubernetes', 'mesos', 'docker-swarm', 'coreos', 'lxc', 'openvz', 'runc', 'lxd', 'rocket', 'jail', 'rancher') AND PostTypes.Name = 'Question' AND Posts.CreationDate < DATEADD(month, DATEDIFF(month, 0, GETDATE()), 0) GROUP BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName ORDER BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName
|
SELECT DATEADD(MONTH, (YEAR("Posts"."CreationDate") - 1900) * 12 + MONTH("Posts"."CreationDate") - 1, 0) AS "Month", "Tags"."TagName", COUNT(*) AS "Questions" FROM "Tags" LEFT JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" LEFT JOIN "Posts" ON "PostTags"."PostId" = "Posts"."Id" LEFT JOIN "PostTypes" ON "PostTypes"."Id" = "Posts"."PostTypeId" WHERE "PostTypes"."Name" = 'Question' AND "Posts"."CreationDate" < DATEADD(MONTH, DATEDIFF(DAY, CAST(0 AS DATETIME), CAST("month" AS DATETIME)), 0) AND "Tags"."TagName" IN ('docker', 'kubernetes', 'mesos', 'docker-swarm', 'coreos', 'lxc', 'openvz', 'runc', 'lxd', 'rocket', 'jail', 'rancher') GROUP BY YEAR("Posts"."CreationDate"), MONTH("Posts"."CreationDate"), "Tags"."TagName" ORDER BY YEAR("Posts"."CreationDate") NULLS FIRST, MONTH("Posts"."CreationDate") NULLS FIRST, "Tags"."TagName" NULLS FIRST
| 0.831055 |
CREATE TABLE table_42741 ("Season" TEXT, "Ep #" FLOAT, "Season Premiere" TEXT, "Season Finale" TEXT, "Ranking" TEXT, "Viewers ( Households in millions ) " TEXT, "Rating" TEXT)
|
What was the rating of the season that had 18.17 million household viewers?
|
SELECT "Rating" FROM table_42741 WHERE "Viewers (Households in millions)" = '18.17'
|
SELECT "Rating" FROM "table_42741" WHERE "Viewers (Households in millions)" = '18.17'
| 0.083008 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
how many days has it been since the last time patient 011-55642's procedure during the current hospital encounter?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-55642' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '011-55642' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "treatment"."treatmenttime")) FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1
| 0.657227 |
CREATE TABLE table_21619 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Name the team where the date is november 17
|
SELECT "Team" FROM table_21619 WHERE "Date" = 'November 17'
|
SELECT "Team" FROM "table_21619" WHERE "Date" = 'November 17'
| 0.05957 |
CREATE TABLE table_4906 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "From" FLOAT, "School/Country" TEXT)
|
What position was played ealier then 2004?
|
SELECT "Position" FROM table_4906 WHERE "From" < '2004'
|
SELECT "Position" FROM "table_4906" WHERE "From" < '2004'
| 0.055664 |
CREATE TABLE table_name_69 (rebounds INT, steals VARCHAR, turnovers VARCHAR)
|
What is the maximum rebounds when there are 0.9 steals and fewer than 1.4 turnovers?
|
SELECT MAX(rebounds) FROM table_name_69 WHERE steals = 0.9 AND turnovers < 1.4
|
SELECT MAX("rebounds") FROM "table_name_69" WHERE "steals" = 0.9 AND "turnovers" < 1.4
| 0.083984 |
CREATE TABLE table_69630 ("Competition" TEXT, "Started Round" TEXT, "Final Position" TEXT, "Final Round" TEXT, "First Match" TEXT, "Last Match" TEXT)
|
What competition had a final round in the finals and the final position winners?
|
SELECT "Competition" FROM table_69630 WHERE "Final Position" = 'winners' AND "Final Round" = 'finals'
|
SELECT "Competition" FROM "table_69630" WHERE "Final Position" = 'winners' AND "Final Round" = 'finals'
| 0.100586 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name, I want to list from high to low by the total number.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Code DESC
|
SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Code" DESC NULLS LAST
| 0.174805 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
|
count the number of patients who were diagnosed with sec hyperparathyrd-renal until 3 years ago and did not return to the hospital within 2 months.
|
SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'sec hyperparathyrd-renal') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'sec hyperparathyrd-renal') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime) <= DATETIME(CURRENT_TIME(), '-3 year') AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month'))
|
WITH "_u_0" AS (SELECT "d_icd_diagnoses"."icd9_code" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'sec hyperparathyrd-renal') SELECT (SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" AS "_u_0" ON "_u_0"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year')) - (SELECT COUNT(DISTINCT "admissions_2"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" AS "_u_2" ON "_u_2"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" AS "admissions_2" ON "admissions_2"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "admissions" ON "admissions"."admittime" > "diagnoses_icd"."charttime" AND "admissions"."subject_id" = "admissions_2"."subject_id" AND DATETIME("admissions"."admittime") <= DATETIME("diagnoses_icd"."charttime", '+2 month') AND DATETIME("admissions"."admittime") <= DATETIME(CURRENT_TIME(), '-3 year') AND DATETIME("admissions"."admittime") >= DATETIME("diagnoses_icd"."charttime") WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year'))
| 1.134766 |
CREATE TABLE table_name_77 (grid INT, driver VARCHAR)
|
What was the highest grid for Patrick Carpentier?
|
SELECT MAX(grid) FROM table_name_77 WHERE driver = "patrick carpentier"
|
SELECT MAX("grid") FROM "table_name_77" WHERE "driver" = "patrick carpentier"
| 0.075195 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose language is port and age is less than 64?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT" AND demographic.age < "64"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "64" > "demographic"."age" AND "PORT" = "demographic"."language"
| 0.135742 |
CREATE TABLE table_44026 ("Date" TEXT, "Home" TEXT, "Score" TEXT, "Away" TEXT, "Attendance" FLOAT)
|
Who was the home team when the score was 0:1?
|
SELECT "Home" FROM table_44026 WHERE "Score" = '0:1'
|
SELECT "Home" FROM "table_44026" WHERE "Score" = '0:1'
| 0.052734 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
what was the total quantity of output from patient 9964 on the first icu visit?
|
SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 9964) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 9964 GROUP BY "hadm_id") SELECT SUM("outputevents"."value") FROM "outputevents" WHERE "outputevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" NULLS FIRST LIMIT 1)
| 0.429688 |
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
|
A bar chart for what are the number of the titles of all movies that have between 3 and 5 stars?, and list by the y axis in desc.
|
SELECT title, COUNT(title) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 5 GROUP BY title ORDER BY COUNT(title) DESC
|
SELECT "title", COUNT("title") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" <= 5 AND "T1"."stars" >= 3 GROUP BY "title" ORDER BY COUNT("title") DESC NULLS LAST
| 0.198242 |
CREATE TABLE table_23729 ("Date" TEXT, "Presenter" TEXT, "Guest 1" TEXT, "Guest 2" TEXT, "Guest 3" TEXT, "Guest 4" TEXT)
|
Name the guest 4 for 8 december
|
SELECT "Guest 4" FROM table_23729 WHERE "Date" = '8 December'
|
SELECT "Guest 4" FROM "table_23729" WHERE "Date" = '8 December'
| 0.061523 |
CREATE TABLE table_name_35 (money___$__ VARCHAR, score VARCHAR)
|
What is Money ( $ ), when Score is '75-71-72-70=288'?
|
SELECT money___$__ FROM table_name_35 WHERE score = 75 - 71 - 72 - 70 = 288
|
SELECT "money___$__" FROM "table_name_35" WHERE "score" = FALSE
| 0.061523 |
CREATE TABLE table_35877 ("Class" TEXT, "Season" TEXT, "Race" FLOAT, "Podiums" FLOAT, "Pole" FLOAT, "FLap" FLOAT, "WChmp" FLOAT)
|
During race 14, what's the podiums?
|
SELECT MAX("Podiums") FROM table_35877 WHERE "Race" = '14'
|
SELECT MAX("Podiums") FROM "table_35877" WHERE "Race" = '14'
| 0.058594 |
CREATE TABLE department_stores (dept_store_id DECIMAL, dept_store_chain_id DECIMAL, store_name TEXT, store_address TEXT, store_phone TEXT, store_email TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL)
CREATE TABLE product_suppliers (product_id DECIMAL, supplier_id DECIMAL, date_supplied_from TIME, date_supplied_to TIME, total_amount_purchased TEXT, total_value_purchased DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, staff_gender TEXT, staff_name TEXT)
CREATE TABLE department_store_chain (dept_store_chain_id DECIMAL, dept_store_chain_name TEXT)
CREATE TABLE staff_department_assignments (staff_id DECIMAL, department_id DECIMAL, date_assigned_from TIME, job_title_code TEXT, date_assigned_to TIME)
CREATE TABLE addresses (address_id DECIMAL, address_details TEXT)
CREATE TABLE departments (department_id DECIMAL, dept_store_id DECIMAL, department_name TEXT)
CREATE TABLE customers (customer_id DECIMAL, payment_method_code TEXT, customer_code TEXT, customer_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT)
CREATE TABLE customer_addresses (customer_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE suppliers (supplier_id DECIMAL, supplier_name TEXT, supplier_phone TEXT)
CREATE TABLE supplier_addresses (supplier_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, order_status_code TEXT, order_date TIME)
CREATE TABLE products (product_id DECIMAL, product_type_code TEXT, product_name TEXT, product_price DECIMAL)
|
Find the names of products that were bought by at least two distinct customers.
|
SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT(DISTINCT T1.customer_id) >= 2
|
SELECT DISTINCT "T3"."product_name" FROM "customer_orders" AS "T1" JOIN "order_items" AS "T2" ON "T1"."order_id" = "T2"."order_id" JOIN "products" AS "T3" ON "T2"."product_id" = "T3"."product_id" GROUP BY "T3"."product_id" HAVING COUNT(DISTINCT "T1"."customer_id") >= 2
| 0.262695 |
CREATE TABLE table_name_37 (surface VARCHAR, opponent VARCHAR)
|
What is the surface of the tournament with Sascha Kloer as the opponent?
|
SELECT surface FROM table_name_37 WHERE opponent = "sascha kloer"
|
SELECT "surface" FROM "table_name_37" WHERE "opponent" = "sascha kloer"
| 0.069336 |
CREATE TABLE table_56279 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What is the score of the away team whose opponent scored 7.14 (56) in front of a crowd was larger than 24,000?
|
SELECT "Away team score" FROM table_56279 WHERE "Crowd" > '24,000' AND "Home team score" = '7.14 (56)'
|
SELECT "Away team score" FROM "table_56279" WHERE "Crowd" > '24,000' AND "Home team score" = '7.14 (56)'
| 0.101563 |
CREATE TABLE table_name_49 (player VARCHAR, club_province VARCHAR)
|
Who is the player from Aurillac?
|
SELECT player FROM table_name_49 WHERE club_province = "aurillac"
|
SELECT "player" FROM "table_name_49" WHERE "aurillac" = "club_province"
| 0.069336 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
how many patients whose age is less than 50 and admission year is less than 2112?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "50" AND demographic.admityear < "2112"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2112" > "demographic"."admityear" AND "50" > "demographic"."age"
| 0.136719 |
CREATE TABLE table_3005450_1 (station VARCHAR, metlink_code VARCHAR)
|
what is the name of the station where the metlink code is mata?
|
SELECT station FROM table_3005450_1 WHERE metlink_code = "MATA"
|
SELECT "station" FROM "table_3005450_1" WHERE "MATA" = "metlink_code"
| 0.067383 |
CREATE TABLE table_142573_1 (clock_rate__mhz_ VARCHAR, bandwidth__mb_s_ VARCHAR)
|
Name the number of clock rate mhz when bandwidth mb/s is 2400
|
SELECT COUNT(clock_rate__mhz_) FROM table_142573_1 WHERE bandwidth__mb_s_ = 2400
|
SELECT COUNT("clock_rate__mhz_") FROM "table_142573_1" WHERE "bandwidth__mb_s_" = 2400
| 0.083984 |
CREATE TABLE table_46371 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Score" TEXT, "Record" TEXT, "Streak" TEXT, "Attendance" FLOAT)
|
How many people attended the green bay packers game?
|
SELECT SUM("Attendance") FROM table_46371 WHERE "Opponent" = 'green bay packers'
|
SELECT SUM("Attendance") FROM "table_46371" WHERE "Opponent" = 'green bay packers'
| 0.080078 |
CREATE TABLE table_25362 ("R" FLOAT, "Player" TEXT, "Scottish Premier League" FLOAT, "Scottish Cup" FLOAT, "Scottish League Cup" FLOAT, "Champions League ( qualifying ) " FLOAT, "Europa League" FLOAT, "Total" FLOAT)
|
Name the max total for aiden mcgeady
|
SELECT MAX("Total") FROM table_25362 WHERE "Player" = 'Aiden McGeady'
|
SELECT MAX("Total") FROM "table_25362" WHERE "Player" = 'Aiden McGeady'
| 0.069336 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
count the number of patients whose admission location is trsf within this facility and drug name is sodium chloride?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND prescriptions.drug = "Sodium Chloride"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Sodium Chloride" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location"
| 0.255859 |
CREATE TABLE table_652 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
|
When was the episode directed by Carey Meyer aired for the first time?
|
SELECT "Original air date" FROM table_652 WHERE "Directed by" = 'Carey Meyer'
|
SELECT "Original air date" FROM "table_652" WHERE "Directed by" = 'Carey Meyer'
| 0.077148 |
CREATE TABLE table_48869 ("Season" FLOAT, "Total Attendance" FLOAT, "Games" FLOAT, "Average" FLOAT, "High avg." FLOAT, "Team" TEXT, "No. Of Clubs" FLOAT)
|
What is the smallest average for Beijing Guo'an when they played more than 240 games?
|
SELECT MIN("Average") FROM table_48869 WHERE "Team" = 'beijing guo''an' AND "Games" > '240'
|
SELECT MIN("Average") FROM "table_48869" WHERE "Games" > '240' AND "Team" = 'beijing guo\'an'
| 0.09082 |
CREATE TABLE table_18329 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
Who were the candidates when Shirley Chisholm was the incumbent?
|
SELECT "Candidates" FROM table_18329 WHERE "Incumbent" = 'Shirley Chisholm'
|
SELECT "Candidates" FROM "table_18329" WHERE "Incumbent" = 'Shirley Chisholm'
| 0.075195 |
CREATE TABLE table_35364 ("Year" FLOAT, "Wins" FLOAT, "Earnings ( $ ) " TEXT, "Rank" FLOAT, "Scoring average" FLOAT)
|
What is the scoring average where the wins are 0?
|
SELECT COUNT("Scoring average") FROM table_35364 WHERE "Wins" < '0'
|
SELECT COUNT("Scoring average") FROM "table_35364" WHERE "Wins" < '0'
| 0.067383 |
CREATE TABLE drivers (forename VARCHAR, surname VARCHAR, driverid VARCHAR)
CREATE TABLE laptimes (driverid VARCHAR, milliseconds INT)
|
List the forename and surname of all distinct drivers who once had laptime less than 93000 milliseconds?
|
SELECT DISTINCT T1.forename, T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds < 93000
|
SELECT DISTINCT "T1"."forename", "T1"."surname" FROM "drivers" AS "T1" JOIN "laptimes" AS "T2" ON "T1"."driverid" = "T2"."driverid" AND "T2"."milliseconds" < 93000
| 0.15918 |
CREATE TABLE table_67930 ("Year" TEXT, "League" TEXT, "Reg. Season" TEXT, "Playoffs" TEXT, "Avg. attendance \\u2020" TEXT)
|
What regular season had an average attendance of 1,242?
|
SELECT "Reg. Season" FROM table_67930 WHERE "Avg. attendance \u2020" = '1,242'
|
SELECT "Reg. Season" FROM "table_67930" WHERE "Avg. attendance \u2020" = '1,242'
| 0.078125 |
CREATE TABLE table_19554 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
what's the position with player being ray boutin
|
SELECT "Position" FROM table_19554 WHERE "Player" = 'Ray Boutin'
|
SELECT "Position" FROM "table_19554" WHERE "Player" = 'Ray Boutin'
| 0.064453 |
CREATE TABLE table_38907 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
|
Who is the Visitor on march 16?
|
SELECT "Visitor" FROM table_38907 WHERE "Date" = 'march 16'
|
SELECT "Visitor" FROM "table_38907" WHERE "Date" = 'march 16'
| 0.05957 |
CREATE TABLE table_73839 ("No. in season" FLOAT, "No. in series" FLOAT, "Title" TEXT, "Canadian airdate" TEXT, "US airdate" TEXT, "Production code" FLOAT)
|
How many titles had production code 1040?
|
SELECT COUNT("Title") FROM table_73839 WHERE "Production code" = '1040'
|
SELECT COUNT("Title") FROM "table_73839" WHERE "Production code" = '1040'
| 0.071289 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
is patient 19096's arterial bp [systolic] ever less since 15 months ago than 164.0?
|
SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19096)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 164.0 AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-15 month')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19096 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 164.0 AND DATETIME("chartevents"."charttime") >= DATETIME(CURRENT_TIME(), '-15 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL
| 0.785156 |
CREATE TABLE table_203_735 (id DECIMAL, "rd" DECIMAL, "pick" DECIMAL, "player" TEXT, "position" TEXT, "school" TEXT)
|
how many players were from notre dame ?
|
SELECT COUNT("player") FROM table_203_735 WHERE "school" = 'notre dame'
|
SELECT COUNT("player") FROM "table_203_735" WHERE "school" = 'notre dame'
| 0.071289 |
CREATE TABLE table_name_68 (founded VARCHAR, nickname VARCHAR)
|
What is the number founded for the nickname mountain hawks?
|
SELECT COUNT(founded) FROM table_name_68 WHERE nickname = "mountain hawks"
|
SELECT COUNT("founded") FROM "table_name_68" WHERE "mountain hawks" = "nickname"
| 0.078125 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
give me the number of patients whose year of birth is less than 2121 and lab test fluid is other body fluid?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2121" AND lab.fluid = "Other Body Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2121" > "demographic"."dob_year"
| 0.198242 |
CREATE TABLE table_53782 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
How low was the attendance at the game that ended with a home team score of 16.13 (109)?
|
SELECT MIN("Crowd") FROM table_53782 WHERE "Home team score" = '16.13 (109)'
|
SELECT MIN("Crowd") FROM "table_53782" WHERE "Home team score" = '16.13 (109)'
| 0.076172 |
CREATE TABLE table_41593 ("Animal" TEXT, "Cell type" TEXT, "Resting potential ( mV ) " TEXT, "AP increase ( mV ) " TEXT, "AP duration ( ms ) " TEXT, "Conduction speed ( m/s ) " TEXT)
|
What AP increase has an AP duration of 0.75?
|
SELECT "AP increase (mV)" FROM table_41593 WHERE "AP duration (ms)" = '0.75'
|
SELECT "AP increase (mV)" FROM "table_41593" WHERE "AP duration (ms)" = '0.75'
| 0.076172 |
CREATE TABLE table_name_7 (pts INT, chassis VARCHAR)
|
What are the points for a chassis of march 811?
|
SELECT SUM(pts) FROM table_name_7 WHERE chassis = "march 811"
|
SELECT SUM("pts") FROM "table_name_7" WHERE "chassis" = "march 811"
| 0.06543 |
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