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CREATE TABLE table_name_16 (regular_season_champion_s_ VARCHAR, record VARCHAR, tournament_champion VARCHAR)
|
Which Regular Season Champion(s) has a Record of 9 0, and a Tournament Champion of north carolina?
|
SELECT regular_season_champion_s_ FROM table_name_16 WHERE record = "9–0" AND tournament_champion = "north carolina"
|
SELECT "regular_season_champion_s_" FROM "table_name_16" WHERE "9–0" = "record" AND "north carolina" = "tournament_champion"
| 0.121094 |
CREATE TABLE table_40713 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
|
What is Language, when Content is Monoscopio?
|
SELECT "Language" FROM table_40713 WHERE "Content" = 'monoscopio'
|
SELECT "Language" FROM "table_40713" WHERE "Content" = 'monoscopio'
| 0.06543 |
CREATE TABLE table_name_45 (finish INT, start VARCHAR, year VARCHAR, manufacturer VARCHAR)
|
What is the smallest finish time for a race where start was less than 3, buick was the manufacturer, and the race was held after 1978?
|
SELECT MIN(finish) FROM table_name_45 WHERE year > 1978 AND manufacturer = "buick" AND start < 3
|
SELECT MIN("finish") FROM "table_name_45" WHERE "buick" = "manufacturer" AND "start" < 3 AND "year" > 1978
| 0.103516 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of patients whose days of hospital stay is greater than 9 and drug type is main?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "9" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "9" < "demographic"."days_stay"
| 0.217773 |
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
|
Find questions with one specific tag.
|
SELECT Id AS "post_link", CreationDate FROM Posts WHERE PostTypeId = 1 AND Tags LIKE LOWER('%hard-science%') ORDER BY CreationDate DESC LIMIT 5000
|
SELECT "Id" AS "post_link", "CreationDate" FROM "Posts" WHERE "PostTypeId" = 1 AND "Tags" LIKE LOWER('%hard-science%') ORDER BY "CreationDate" DESC NULLS LAST LIMIT 5000
| 0.165039 |
CREATE TABLE table_27679 ("Position" TEXT, "Number" FLOAT, "Horse" TEXT, "Jockey" TEXT, "Age" FLOAT, "Handicap" TEXT, "SP" TEXT, "Distance" TEXT)
|
what is the handicap where the distance is 9 lengths?
|
SELECT "Handicap" FROM table_27679 WHERE "Distance" = '9 lengths'
|
SELECT "Handicap" FROM "table_27679" WHERE "Distance" = '9 lengths'
| 0.06543 |
CREATE TABLE table_14345690_15 (main_presenter VARCHAR, series VARCHAR)
|
Who is the main presenter of the series Twelve (2012)?
|
SELECT main_presenter FROM table_14345690_15 WHERE series = "Twelve (2012)"
|
SELECT "main_presenter" FROM "table_14345690_15" WHERE "Twelve (2012)" = "series"
| 0.079102 |
CREATE TABLE table_46488 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
|
what is the position when the pick is more than 2, the overall is more than 28 and the college is nebraska?
|
SELECT "Position" FROM table_46488 WHERE "Pick" > '2' AND "Overall" > '28' AND "College" = 'nebraska'
|
SELECT "Position" FROM "table_46488" WHERE "College" = 'nebraska' AND "Overall" > '28' AND "Pick" > '2'
| 0.100586 |
CREATE TABLE table_2544 ("Season" FLOAT, "Series" TEXT, "Team" TEXT, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" TEXT, "Position" TEXT)
|
How many poles when British formula renault 2.0 series and f/laps 1?
|
SELECT MIN("Poles") FROM table_2544 WHERE "Series" = 'British Formula Renault 2.0' AND "F/Laps" = '1'
|
SELECT MIN("Poles") FROM "table_2544" WHERE "F/Laps" = '1' AND "Series" = 'British Formula Renault 2.0'
| 0.100586 |
CREATE TABLE table_26013618_1 (nsg_nr VARCHAR, date_established VARCHAR)
|
How many reserves were established on 19740329 29.03.1974?
|
SELECT COUNT(nsg_nr) FROM table_26013618_1 WHERE date_established = "19740329 29.03.1974"
|
SELECT COUNT("nsg_nr") FROM "table_26013618_1" WHERE "19740329 29.03.1974" = "date_established"
| 0.092773 |
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Date_of_Birth TEXT)
CREATE TABLE entrepreneur (Entrepreneur_ID INT, People_ID INT, Company TEXT, Money_Requested FLOAT, Investor TEXT)
|
How many entrepreneurs correspond to each investor, could you display Y in asc order?
|
SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor ORDER BY COUNT(*)
|
SELECT "Investor", COUNT(*) FROM "entrepreneur" GROUP BY "Investor" ORDER BY COUNT(*) NULLS FIRST
| 0.094727 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
what is the difference between patient 016-18575's sao2 second measured on the current icu visit compared to the first value measured on the current icu visit?
|
SELECT (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1 OFFSET 1) - (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-18575' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" LEFT JOIN "_u_4" AS "_u_4" ON "_u_4"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_4"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" NULLS FIRST LIMIT 1)
| 1.155273 |
CREATE TABLE table_name_4 (pinnacle_height_planned VARCHAR, country VARCHAR, name VARCHAR)
|
How high is the Goldin Finance 117 building currently being build in China?
|
SELECT pinnacle_height_planned FROM table_name_4 WHERE country = "china" AND name = "goldin finance 117"
|
SELECT "pinnacle_height_planned" FROM "table_name_4" WHERE "china" = "country" AND "goldin finance 117" = "name"
| 0.109375 |
CREATE TABLE Customers (customer_id INT, customer_type_code VARCHAR, address_line_1 VARCHAR, address_line_2 VARCHAR, town_city VARCHAR, state VARCHAR, email_address VARCHAR, phone_number VARCHAR)
CREATE TABLE Staff (staff_id INT, gender VARCHAR, first_name VARCHAR, last_name VARCHAR, email_address VARCHAR, phone_number VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, product_category_code VARCHAR, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR, product_description VARCHAR, product_price DECIMAL)
CREATE TABLE Complaints (complaint_id INT, product_id INT, customer_id INT, complaint_outcome_code VARCHAR, complaint_status_code VARCHAR, complaint_type_code VARCHAR, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id INT)
|
what are all the different product names, and how many complains has each received?
|
SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name
|
SELECT "product_name", COUNT(*) FROM "Products" AS "t1" JOIN "Complaints" AS "t2" ON "t1"."product_id" = "t2"."product_id" GROUP BY "t1"."product_name"
| 0.147461 |
CREATE TABLE table_name_96 (tie_no VARCHAR, home_team VARCHAR)
|
What's the tie number of Chelsea when they were home?
|
SELECT tie_no FROM table_name_96 WHERE home_team = "chelsea"
|
SELECT "tie_no" FROM "table_name_96" WHERE "chelsea" = "home_team"
| 0.064453 |
CREATE TABLE table_204_210 (id DECIMAL, "rnd" DECIMAL, "circuit" TEXT, "lmp1 winning team\ lmp1 winning drivers" TEXT, "lmp2 winning team\ lmp2 winning drivers" TEXT, "gt1 winning team\ gt1 winning drivers" TEXT, "gt2 winning team\ gt2 winning drivers" TEXT, "results" TEXT)
|
what is the total number of circuits listed on the chart ?
|
SELECT COUNT(DISTINCT "circuit") FROM table_204_210
|
SELECT COUNT(DISTINCT "circuit") FROM "table_204_210"
| 0.051758 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
in the last year patient 027-4674 had been diagnosed with any disease?
|
SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-4674')) AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-4674' 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 COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL
| 0.594727 |
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 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 demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many white patients were diagnosed under icd9 code 7660?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "7660"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "7660" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity"
| 0.209961 |
CREATE TABLE table_38931 ("Player" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
|
Which Extra points is the highest one that has a Player of herrnstein, and Points smaller than 30?
|
SELECT MAX("Extra points") FROM table_38931 WHERE "Player" = 'herrnstein' AND "Points" < '30'
|
SELECT MAX("Extra points") FROM "table_38931" WHERE "Player" = 'herrnstein' AND "Points" < '30'
| 0.092773 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE procedures_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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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)
|
how much of a difference is patient 31880's weight second measured on the first hospital visit compared to the first value measured on the first hospital visit?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31880 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31880 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1)
|
WITH "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" 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" = 31880 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1)) AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" 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" = 31880 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1)) AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1)
| 1.140625 |
CREATE TABLE table_30560 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
What position was the player who was drafted by the Washington Capitals?
|
SELECT "Position" FROM table_30560 WHERE "NHL team" = 'Washington Capitals'
|
SELECT "Position" FROM "table_30560" WHERE "NHL team" = 'Washington Capitals'
| 0.075195 |
CREATE TABLE table_1005 ("Player" TEXT, "Position" TEXT, "Games started" TEXT, "Hometown" TEXT, "Height" TEXT, "Weight" FLOAT, "Class" TEXT, "Prior experience" TEXT)
|
How many Games Started are there for Hugh White ?
|
SELECT "Games started" FROM table_1005 WHERE "Player" = 'Hugh White'
|
SELECT "Games started" FROM "table_1005" WHERE "Player" = 'Hugh White'
| 0.068359 |
CREATE TABLE table_52767 ("Name" TEXT, "Pennant" TEXT, "Builder" TEXT, "Laid Down" TEXT, "Launched" TEXT, "Commissioned" TEXT)
|
what is the pennant when the builder is yarrow, scotstoun?
|
SELECT "Pennant" FROM table_52767 WHERE "Builder" = 'yarrow, scotstoun'
|
SELECT "Pennant" FROM "table_52767" WHERE "Builder" = 'yarrow, scotstoun'
| 0.071289 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
which lab test category did the patient with patient id 2560 belong to?
|
SELECT lab."CATEGORY" FROM lab WHERE lab.subject_id = "2560"
|
SELECT "lab"."CATEGORY" FROM "lab" WHERE "2560" = "lab"."subject_id"
| 0.066406 |
CREATE TABLE table_79902 ("Ride name" TEXT, "Type" TEXT, "Opened in" FLOAT, "Themed land" TEXT, "Manufacturer" TEXT)
|
Which ride opened after the 2000 Peeking Heights?
|
SELECT "Type" FROM table_79902 WHERE "Opened in" > '2000' AND "Ride name" = 'peeking heights'
|
SELECT "Type" FROM "table_79902" WHERE "Opened in" > '2000' AND "Ride name" = 'peeking heights'
| 0.092773 |
CREATE TABLE table_name_27 (week INT, attendance VARCHAR)
|
Which week had an attendance of 70,225
|
SELECT MIN(week) FROM table_name_27 WHERE attendance = "70,225"
|
SELECT MIN("week") FROM "table_name_27" WHERE "70,225" = "attendance"
| 0.067383 |
CREATE TABLE table_38904 ("Track number" FLOAT, "Title" TEXT, "Songwriter ( s ) " TEXT, "Recording date" TEXT, "Time" TEXT)
|
On what date was My Lord What a Mornin' recorded?
|
SELECT "Recording date" FROM table_38904 WHERE "Title" = 'my lord what a mornin'
|
SELECT "Recording date" FROM "table_38904" WHERE "Title" = 'my lord what a mornin'
| 0.080078 |
CREATE TABLE table_46542 ("Wicket" TEXT, "Runs" FLOAT, "Batting partners" TEXT, "Batting team" TEXT, "Fielding team" TEXT, "Venue" TEXT, "Season" TEXT)
|
What venue did mahela jayawardene and thilan samaraweera play at?
|
SELECT "Venue" FROM table_46542 WHERE "Batting partners" = 'mahela jayawardene and thilan samaraweera'
|
SELECT "Venue" FROM "table_46542" WHERE "Batting partners" = 'mahela jayawardene and thilan samaraweera'
| 0.101563 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday, order from low to high by the Y please.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(DEPARTMENT_ID)
|
SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("DEPARTMENT_ID") NULLS FIRST
| 0.216797 |
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)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of patients whose diagnosis long title is unspecified gastritis and gastroduodenitis, without mention of hemorrhage with a base drug type.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Unspecified gastritis and gastroduodenitis, without mention of hemorrhage" AND prescriptions.drug_type = "BASE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified gastritis and gastroduodenitis, without mention of hemorrhage" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.351563 |
CREATE TABLE table_28342 ("Dates" TEXT, "Tournament" TEXT, "Location" TEXT, "Prize fund ( \\uffe5 ) " FLOAT, "Winner" TEXT, "OWGR pts" FLOAT)
|
What is the prize for the tournament at Ibaraki?
|
SELECT "Prize fund ( \uffe5 )" FROM table_28342 WHERE "Location" = 'Ibaraki'
|
SELECT "Prize fund ( \uffe5 )" FROM "table_28342" WHERE "Location" = 'Ibaraki'
| 0.076172 |
CREATE TABLE table_name_96 (start VARCHAR, year VARCHAR)
|
Which start has 1956 as the year?
|
SELECT start FROM table_name_96 WHERE year = "1956"
|
SELECT "start" FROM "table_name_96" WHERE "1956" = "year"
| 0.055664 |
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
in the last hospital encounter when patient 031-23724 last got a microbiology test?
|
SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-23724' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) ORDER BY microlab.culturetakentime DESC LIMIT 1
|
SELECT "microlab"."culturetakentime" FROM "microlab" WHERE "microlab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-23724' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1)) ORDER BY "microlab"."culturetakentime" DESC NULLS LAST LIMIT 1
| 0.461914 |
CREATE TABLE table_78535 ("Goal" FLOAT, "Date" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
|
What is the result when the score is 0-2?
|
SELECT "Result" FROM table_78535 WHERE "Score" = '0-2'
|
SELECT "Result" FROM "table_78535" WHERE "Score" = '0-2'
| 0.054688 |
CREATE TABLE table_47125 ("Date" TEXT, "Location" TEXT, "Head coach" TEXT, "Opponent" TEXT, "Result" TEXT)
|
Who was the opponent when the head coach was B. Sathianathan?
|
SELECT "Opponent" FROM table_47125 WHERE "Head coach" = 'b. sathianathan'
|
SELECT "Opponent" FROM "table_47125" WHERE "Head coach" = 'b. sathianathan'
| 0.073242 |
CREATE TABLE table_12171145_1 (mens_doubles VARCHAR, mens_singles VARCHAR)
|
Who is themens doubles when the mens singles is flemming delfs?
|
SELECT mens_doubles FROM table_12171145_1 WHERE mens_singles = "Flemming Delfs"
|
SELECT "mens_doubles" FROM "table_12171145_1" WHERE "Flemming Delfs" = "mens_singles"
| 0.083008 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
|
What are the last names and ages of the students who are allergic to milk and cat? Plot them as bar chart, and order in asc by the Y.
|
SELECT LName, Age FROM Student WHERE StuID IN (SELECT StuID FROM Has_Allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_Allergy WHERE Allergy = "Cat") ORDER BY Age
|
SELECT "LName", "Age" FROM "Student" WHERE "StuID" IN (SELECT "StuID" FROM "Has_Allergy" WHERE "Allergy" = "Milk" INTERSECT SELECT "StuID" FROM "Has_Allergy" WHERE "Allergy" = "Cat") ORDER BY "Age" NULLS FIRST
| 0.204102 |
CREATE TABLE table_203_764 (id DECIMAL, "name" TEXT, "date" DECIMAL, "nation" TEXT, "displacement" TEXT, "speed" TEXT, "number" DECIMAL, "notes" TEXT)
|
how many tons does the te class displace ?
|
SELECT "displacement" FROM table_203_764 WHERE "name" = 'te-class'
|
SELECT "displacement" FROM "table_203_764" WHERE "name" = 'te-class'
| 0.066406 |
CREATE TABLE table_203_322 (id DECIMAL, "club" TEXT, "played" DECIMAL, "won" DECIMAL, "drawn" DECIMAL, "lost" DECIMAL, "points for" DECIMAL, "points against" DECIMAL, "bonus points" DECIMAL, "points" DECIMAL)
|
which club had the least amount of points ?
|
SELECT "club" FROM table_203_322 ORDER BY "points" LIMIT 1
|
SELECT "club" FROM "table_203_322" ORDER BY "points" NULLS FIRST LIMIT 1
| 0.070313 |
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
|
Please tell me the total star ratings of each movie title using a bar chart, and sort Y in asc order please.
|
SELECT title, SUM(stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title ORDER BY SUM(stars)
|
SELECT "title", SUM("stars") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "title" ORDER BY SUM("stars") NULLS FIRST
| 0.145508 |
CREATE TABLE table_2296507_1 (stellar_classification VARCHAR, system VARCHAR)
|
Name number of stellar classification for 3 neptune planets < 1 au
|
SELECT COUNT(stellar_classification) FROM table_2296507_1 WHERE system = "3 Neptune planets < 1 AU"
|
SELECT COUNT("stellar_classification") FROM "table_2296507_1" WHERE "3 Neptune planets < 1 AU" = "system"
| 0.102539 |
CREATE TABLE train (train_id DECIMAL, name TEXT, time TEXT, service TEXT)
CREATE TABLE train_station (train_id DECIMAL, station_id DECIMAL)
CREATE TABLE station (station_id DECIMAL, name TEXT, annual_entry_exit DECIMAL, annual_interchanges DECIMAL, total_passengers DECIMAL, location TEXT, main_services TEXT, number_of_platforms DECIMAL)
|
How many train stations are there?
|
SELECT COUNT(*) FROM station
|
SELECT COUNT(*) FROM "station"
| 0.029297 |
CREATE TABLE table_78728 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT, "Arena" TEXT, "Points" FLOAT)
|
Which Attendance has more than 90 points?
|
SELECT "Attendance" FROM table_78728 WHERE "Points" > '90'
|
SELECT "Attendance" FROM "table_78728" WHERE "Points" > '90'
| 0.058594 |
CREATE TABLE table_72879 ("Fin. Pos" FLOAT, "Car No." FLOAT, "Driver" TEXT, "Team" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT, "Laps Led" FLOAT, "Points" TEXT)
|
Name the number of driver for fin pos of 19
|
SELECT COUNT("Driver") FROM table_72879 WHERE "Fin. Pos" = '19'
|
SELECT COUNT("Driver") FROM "table_72879" WHERE "Fin. Pos" = '19'
| 0.063477 |
CREATE TABLE table_name_34 (silver INT, nation VARCHAR, bronze VARCHAR)
|
Tell me the sum of silver for liechtenstein and bronze more than 4
|
SELECT SUM(silver) FROM table_name_34 WHERE nation = "liechtenstein" AND bronze > 4
|
SELECT SUM("silver") FROM "table_name_34" WHERE "bronze" > 4 AND "liechtenstein" = "nation"
| 0.088867 |
CREATE TABLE Room (RoomNumber INT, RoomType VARCHAR, BlockFloor INT, BlockCode INT, Unavailable BOOLEAN)
CREATE TABLE Stay (StayID INT, Patient INT, Room INT, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Undergoes (Patient INT, Procedures INT, Stay INT, DateUndergoes DATETIME, Physician INT, AssistingNurse INT)
CREATE TABLE Nurse (EmployeeID INT, Name VARCHAR, Position VARCHAR, Registered BOOLEAN, SSN INT)
CREATE TABLE Physician (EmployeeID INT, Name VARCHAR, Position VARCHAR, SSN INT)
CREATE TABLE Block (BlockFloor INT, BlockCode INT)
CREATE TABLE Patient (SSN INT, Name VARCHAR, Address VARCHAR, Phone VARCHAR, InsuranceID INT, PCP INT)
CREATE TABLE Affiliated_With (Physician INT, Department INT, PrimaryAffiliation BOOLEAN)
CREATE TABLE Prescribes (Physician INT, Patient INT, Medication INT, Date DATETIME, Appointment INT, Dose VARCHAR)
CREATE TABLE Appointment (AppointmentID INT, Patient INT, PrepNurse INT, Physician INT, Start DATETIME, End DATETIME, ExaminationRoom TEXT)
CREATE TABLE On_Call (Nurse INT, BlockFloor INT, BlockCode INT, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Procedures (Code INT, Name VARCHAR, Cost FLOAT)
CREATE TABLE Trained_In (Physician INT, Treatment INT, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Department (DepartmentID INT, Name VARCHAR, Head INT)
CREATE TABLE Medication (Code INT, Name VARCHAR, Brand VARCHAR, Description VARCHAR)
|
Display a bar chart for how many medications are prescribed for each brand?, and show Y-axis in desc order.
|
SELECT Name, COUNT(*) FROM Medication AS T1 JOIN Prescribes AS T2 ON T1.Code = T2.Medication GROUP BY T1.Brand ORDER BY COUNT(*) DESC
|
SELECT "Name", COUNT(*) FROM "Medication" AS "T1" JOIN "Prescribes" AS "T2" ON "T1"."Code" = "T2"."Medication" GROUP BY "T1"."Brand" ORDER BY COUNT(*) DESC NULLS LAST
| 0.162109 |
CREATE TABLE ref_characteristic_types (characteristic_type_code TEXT, characteristic_type_description TEXT)
CREATE TABLE ref_product_categories (product_category_code TEXT, product_category_description TEXT, unit_of_measure TEXT)
CREATE TABLE characteristics (characteristic_id DECIMAL, characteristic_type_code TEXT, characteristic_data_type TEXT, characteristic_name TEXT, other_characteristic_details TEXT)
CREATE TABLE products (product_id DECIMAL, color_code TEXT, product_category_code TEXT, product_name TEXT, typical_buying_price TEXT, typical_selling_price TEXT, product_description TEXT, other_product_details TEXT)
CREATE TABLE ref_colors (color_code TEXT, color_description TEXT)
CREATE TABLE product_characteristics (product_id DECIMAL, characteristic_id DECIMAL, product_characteristic_value TEXT)
|
Count the number of characteristics of the 'flax' product.
|
SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "flax"
|
SELECT COUNT(*) FROM "products" AS "t1" JOIN "product_characteristics" AS "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "characteristics" AS "t3" ON "t2"."characteristic_id" = "t3"."characteristic_id" WHERE "flax" = "t1"."product_name"
| 0.234375 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, draw a scatter chart about the correlation between salary and commission_pct .
|
SELECT SALARY, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "SALARY", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.168945 |
CREATE TABLE table_10015132_1 (position VARCHAR, school_club_team VARCHAR)
|
What position did the player from Baylor play?
|
SELECT position FROM table_10015132_1 WHERE school_club_team = "Baylor"
|
SELECT "position" FROM "table_10015132_1" WHERE "Baylor" = "school_club_team"
| 0.075195 |
CREATE TABLE table_name_88 (moving_from VARCHAR, transfer_window VARCHAR, source VARCHAR)
|
Where is the moving from location with a transfer window of summer and the source kerkida.net?
|
SELECT moving_from FROM table_name_88 WHERE transfer_window = "summer" AND source = "kerkida.net"
|
SELECT "moving_from" FROM "table_name_88" WHERE "kerkida.net" = "source" AND "summer" = "transfer_window"
| 0.102539 |
CREATE TABLE table_name_5 (opponent VARCHAR, week VARCHAR)
|
Who is the opponent in week 10?
|
SELECT opponent FROM table_name_5 WHERE week = 10
|
SELECT "opponent" FROM "table_name_5" WHERE "week" = 10
| 0.053711 |
CREATE TABLE table_2436 ("Conference" TEXT, "Regular Season Winner" TEXT, "Conference Player of the Year" TEXT, "Conference Tournament" TEXT, "Tournament Venue ( City ) " TEXT, "Tournament Winner" TEXT)
|
Where was the tourney when UCLA won the regular season?
|
SELECT "Tournament Venue (City)" FROM table_2436 WHERE "Regular Season Winner" = 'UCLA'
|
SELECT "Tournament Venue (City)" FROM "table_2436" WHERE "Regular Season Winner" = 'UCLA'
| 0.086914 |
CREATE TABLE table_name_51 (game INT, date VARCHAR)
|
What is the game number held on May 2?
|
SELECT AVG(game) FROM table_name_51 WHERE date = "may 2"
|
SELECT AVG("game") FROM "table_name_51" WHERE "date" = "may 2"
| 0.060547 |
CREATE TABLE table_65173 ("Eliminated" TEXT, "Tag Team" TEXT, "Entered" FLOAT, "Eliminated by" TEXT, "Time" TEXT)
|
Name Tag Team with a Eliminated of 5?
|
SELECT "Tag Team" FROM table_65173 WHERE "Eliminated" = '5'
|
SELECT "Tag Team" FROM "table_65173" WHERE "Eliminated" = '5'
| 0.05957 |
CREATE TABLE table_22493 ("Athlete" TEXT, "Class" TEXT, "Event" TEXT, "Round of 64" TEXT, "Round of 32" TEXT, "Round of 16" TEXT, "Quarterfinals" TEXT, "Semifinals" TEXT, "Final/ Bronze medal match" TEXT)
|
When in round of 16 it was did not advance what was it in round of 32?
|
SELECT "Round of 32" FROM table_22493 WHERE "Round of 16" = 'Did not advance'
|
SELECT "Round of 32" FROM "table_22493" WHERE "Round of 16" = 'Did not advance'
| 0.077148 |
CREATE TABLE table_76402 ("Year" TEXT, "2009" TEXT, "2008" TEXT, "2007" TEXT, "2006" TEXT, "2005" TEXT, "2004" TEXT, "2003" TEXT)
|
What is the 2007 with ch callaway's copyright in 2003?
|
SELECT "2007" FROM table_76402 WHERE "2003" = 'ch callaway''s copyright'
|
SELECT "2007" FROM "table_76402" WHERE "2003" = 'ch callaway\'s copyright'
| 0.072266 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of white-russian patients whose procedure short title is insert endotracheal tube.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND procedures.short_title = "Insert endotracheal tube"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Insert endotracheal tube" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "WHITE - RUSSIAN" = "demographic"."ethnicity"
| 0.244141 |
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 flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_fare (flight_id INT, fare_id 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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)
|
show me round trip flights from MONTREAL to ORLANDO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ORLANDO' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MONTREAL' 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" = 'MONTREAL' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ORLANDO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL
| 0.661133 |
CREATE TABLE table_2886617_8 (college_junior_club_team VARCHAR, player VARCHAR)
|
What college team did Milan Kostolny play for?
|
SELECT college_junior_club_team FROM table_2886617_8 WHERE player = "Milan Kostolny"
|
SELECT "college_junior_club_team" FROM "table_2886617_8" WHERE "Milan Kostolny" = "player"
| 0.087891 |
CREATE TABLE Attribute_Definitions (attribute_data_type VARCHAR)
|
Find the list of attribute data types possessed by more than 3 attribute definitions.
|
SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING COUNT(*) > 3
|
SELECT "attribute_data_type" FROM "Attribute_Definitions" GROUP BY "attribute_data_type" HAVING COUNT(*) > 3
| 0.105469 |
CREATE TABLE table_51058 ("Year" FLOAT, "Beer Name" TEXT, "Prize" TEXT, "Category" TEXT, "Competition" TEXT)
|
What prize did good old boy win in 2002 at the camra london and south east regional competition?
|
SELECT "Prize" FROM table_51058 WHERE "Year" > '2002' AND "Competition" = 'camra london and south east regional competition' AND "Beer Name" = 'good old boy'
|
SELECT "Prize" FROM "table_51058" WHERE "Beer Name" = 'good old boy' AND "Competition" = 'camra london and south east regional competition' AND "Year" > '2002'
| 0.155273 |
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
CREATE TABLE Scientists (SSN INT, Name CHAR)
|
What are the names of projects that require more than 300 hours, and how many scientists are assigned to each, and display by the total number in asc.
|
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY COUNT(*)
|
SELECT "Name", COUNT(*) FROM "Projects" AS "T1" JOIN "AssignedTo" AS "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY COUNT(*) NULLS FIRST
| 0.176758 |
CREATE TABLE table_10805 ("Year" FLOAT, "Theme" TEXT, "Artist" TEXT, "Mintage" TEXT, "Issue Price" TEXT)
|
What is the latest year that has an n/a mintage and an Issue Price of $89.95?
|
SELECT MAX("Year") FROM table_10805 WHERE "Mintage" = 'n/a' AND "Issue Price" = '$89.95'
|
SELECT MAX("Year") FROM "table_10805" WHERE "Issue Price" = '$89.95' AND "Mintage" = 'n/a'
| 0.087891 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_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 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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
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_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)
|
count the number of times patient 12775 has had a .9% normal saline intake today.
|
SELECT COUNT(*) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12775)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12775 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" = '.9% normal saline' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL
| 0.782227 |
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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description 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)
|
VoteTypeId 1 for a given post.
|
SELECT * FROM Votes AS vv1 WHERE vv1.PostId = '##postid##' AND vv1.VoteTypeId = 1
|
SELECT * FROM "Votes" AS "vv1" WHERE "vv1"."PostId" = '##postid##' AND "vv1"."VoteTypeId" = 1
| 0.09082 |
CREATE TABLE table_49234 ("Round" FLOAT, "Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
What is the lowest Pick #, when College is 'Jackson State'?
|
SELECT MIN("Pick #") FROM table_49234 WHERE "College" = 'jackson state'
|
SELECT MIN("Pick #") FROM "table_49234" WHERE "College" = 'jackson state'
| 0.071289 |
CREATE TABLE table_14057 ("Gene" TEXT, "Route of administration" TEXT, "Phase" TEXT, "Subject number" TEXT, "Status" TEXT)
|
Which gene has the subject number 21?
|
SELECT "Gene" FROM table_14057 WHERE "Subject number" = '21'
|
SELECT "Gene" FROM "table_14057" WHERE "Subject number" = '21'
| 0.060547 |
CREATE TABLE table_1482 ("Series #" FLOAT, "Episode #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
|
How many titles does Episode 2 have
|
SELECT COUNT("Title") FROM table_1482 WHERE "Episode #" = '2'
|
SELECT COUNT("Title") FROM "table_1482" WHERE "Episode #" = '2'
| 0.061523 |
CREATE TABLE table_14345690_5 (exited VARCHAR, celebrity VARCHAR)
|
What is the exited day where the celebrity is vic reeves?
|
SELECT exited FROM table_14345690_5 WHERE celebrity = "Vic Reeves"
|
SELECT "exited" FROM "table_14345690_5" WHERE "Vic Reeves" = "celebrity"
| 0.070313 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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 of black/cape verdean ethnicity were diagnosed with pseudomonas infection in conditions classified elsewhere and of unspecified site?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND diagnoses.long_title = "Pseudomonas infection in conditions classified elsewhere and of unspecified site"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pseudomonas infection in conditions classified elsewhere and of unspecified site" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity"
| 0.297852 |
CREATE TABLE table_72503 ("Shirt No" FLOAT, "Nationality" TEXT, "Player" TEXT, "Birth Date" TEXT, "Height" FLOAT, "Position" TEXT)
|
What is Roman Bragin's position?
|
SELECT "Position" FROM table_72503 WHERE "Player" = 'Roman Bragin'
|
SELECT "Position" FROM "table_72503" WHERE "Player" = 'Roman Bragin'
| 0.066406 |
CREATE TABLE table_name_44 (goals_for VARCHAR, lost VARCHAR)
|
What are the goals for a lost of Involuntary suspension of Season (hurricane Rita)?
|
SELECT goals_for FROM table_name_44 WHERE lost = "involuntary suspension of season (hurricane rita)"
|
SELECT "goals_for" FROM "table_name_44" WHERE "involuntary suspension of season (hurricane rita)" = "lost"
| 0.103516 |
CREATE TABLE table_name_18 (score VARCHAR, competition VARCHAR)
|
What's the score of the friendly competition?
|
SELECT score FROM table_name_18 WHERE competition = "friendly"
|
SELECT "score" FROM "table_name_18" WHERE "competition" = "friendly"
| 0.066406 |
CREATE TABLE table_14006_1 (bleeding_time VARCHAR, platelet_count VARCHAR)
|
what's the bleeding time with platelet count being decreased or unaffected
|
SELECT bleeding_time FROM table_14006_1 WHERE platelet_count = "Decreased or unaffected"
|
SELECT "bleeding_time" FROM "table_14006_1" WHERE "Decreased or unaffected" = "platelet_count"
| 0.091797 |
CREATE TABLE table_18213 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Status" TEXT, "Opponent" TEXT)
|
What district had someone first elected in 1982?
|
SELECT "District" FROM table_18213 WHERE "First elected" = '1982'
|
SELECT "District" FROM "table_18213" WHERE "First elected" = '1982'
| 0.06543 |
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)
|
Tell me the number of white russian ethnic background patients who are less than 77 years of age.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.age < "77"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "77" > "demographic"."age" AND "WHITE - RUSSIAN" = "demographic"."ethnicity"
| 0.147461 |
CREATE TABLE table_203_242 (id DECIMAL, "season" TEXT, "competition" TEXT, "round" TEXT, "club" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
|
how many times has fc shakhtyor salihorsk played in the uefa europa league competition ?
|
SELECT COUNT(*) FROM table_203_242 WHERE "competition" = 'uefa europa league'
|
SELECT COUNT(*) FROM "table_203_242" WHERE "competition" = 'uefa europa league'
| 0.077148 |
CREATE TABLE table_30058355_5 (rank INT)
|
What's the best rank possible?
|
SELECT MIN(rank) FROM table_30058355_5
|
SELECT MIN("rank") FROM "table_30058355_5"
| 0.041016 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
|
Greece 1000 with Row Number.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS Place, Id AS "user_link", Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Thess%' OR Location LIKE '%Greece%' OR Location LIKE N'%Gr' OR (Location LIKE N'%Athens%' AND NOT Location LIKE N'%GA%') ORDER BY Reputation DESC LIMIT 1000
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "Place", "Id" AS "user_link", "Reputation", "WebsiteUrl", "Location" FROM "Users" WHERE ("Location" LIKE '%Greece%' OR "Location" LIKE '%Thess%' OR "Location" LIKE N'%Athens%' OR "Location" LIKE N'%Gr') AND ("Location" LIKE '%Greece%' OR "Location" LIKE '%Thess%' OR "Location" LIKE N'%Gr' OR NOT "Location" LIKE N'%GA%') ORDER BY "Reputation" DESC NULLS LAST LIMIT 1000
| 0.427734 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE 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 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
indicate the yearly maximum volume of chest tube output: mediastinal anterior that patient 028-39354 has had until 1335 days ago.
|
SELECT MAX(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-39354')) AND intakeoutput.celllabel = 'chest tube output: mediastinal anterior' AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-1335 day') GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-39354' 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 MAX("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'chest tube output: mediastinal anterior' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-1335 day') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime")
| 0.77832 |
CREATE TABLE table_204_459 (id DECIMAL, "date" TEXT, "time" TEXT, "opponent" TEXT, "site" TEXT, "tv" TEXT, "result" TEXT, "attendance" DECIMAL, "record" TEXT)
|
how many games were played against grand canyon ?
|
SELECT COUNT(*) FROM table_204_459 WHERE "opponent" = 'grand canyon'
|
SELECT COUNT(*) FROM "table_204_459" WHERE "opponent" = 'grand canyon'
| 0.068359 |
CREATE TABLE table_64298 ("World record" TEXT, "Snatch" TEXT, "Sergey Filimonov ( KAZ ) " TEXT, "173kg" TEXT, "Almaty , Kazakhstan" TEXT)
|
What is the snatch for the person holding the Olympic record, and 173kg of 172kg?
|
SELECT "Snatch" FROM table_64298 WHERE "World record" = 'olympic record' AND "173kg" = '172kg'
|
SELECT "Snatch" FROM "table_64298" WHERE "173kg" = '172kg' AND "World record" = 'olympic record'
| 0.09375 |
CREATE TABLE table_7777 ("Date" TEXT, "Event" TEXT, "City" TEXT, "Oil Pattern" TEXT, "Winner ( Title # ) " TEXT, "Runner-up" TEXT, "Score" TEXT)
|
What city had the chameleon oil pattern at the Go RV'ing Classic?
|
SELECT "City" FROM table_7777 WHERE "Oil Pattern" = 'chameleon' AND "Event" = 'go rv''ing classic'
|
SELECT "City" FROM "table_7777" WHERE "Event" = 'go rv\'ing classic' AND "Oil Pattern" = 'chameleon'
| 0.097656 |
CREATE TABLE products (product_id VARCHAR)
CREATE TABLE CHARACTERISTICS (characteristic_name VARCHAR, characteristic_id VARCHAR)
CREATE TABLE product_characteristics (product_id VARCHAR, characteristic_id VARCHAR)
|
What is the characteristic name used by most number of the products?
|
SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id GROUP BY t3.characteristic_name ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "t3"."characteristic_name" FROM "products" AS "t1" JOIN "product_characteristics" AS "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "CHARACTERISTICS" AS "t3" ON "t2"."characteristic_id" = "t3"."characteristic_id" GROUP BY "t3"."characteristic_name" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.293945 |
CREATE TABLE table_name_6 (laps INT, grid VARCHAR, constructor VARCHAR, driver VARCHAR)
|
What is the average number of laps for mika salo's arrows car with a grid over 13?
|
SELECT AVG(laps) FROM table_name_6 WHERE constructor = "arrows" AND driver = "mika salo" AND grid > 13
|
SELECT AVG("laps") FROM "table_name_6" WHERE "arrows" = "constructor" AND "driver" = "mika salo" AND "grid" > 13
| 0.109375 |
CREATE TABLE school (School_ID INT, Grade TEXT, School TEXT, Location TEXT, Type TEXT)
CREATE TABLE driver (Driver_ID INT, Name TEXT, Party TEXT, Home_city TEXT, Age INT)
CREATE TABLE school_bus (School_ID INT, Driver_ID INT, Years_Working INT, If_full_time BOOLEAN)
|
Show the party and the number of drivers in each party. Visualize by pie chart.
|
SELECT Party, COUNT(*) FROM driver GROUP BY Party
|
SELECT "Party", COUNT(*) FROM "driver" GROUP BY "Party"
| 0.053711 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
when was the first time when patient 7400 was prescribed furosemide and potassium chloride at the same time until 14 months ago?
|
SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'furosemide' AND admissions.subject_id = 7400 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-14 month')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'potassium chloride' AND admissions.subject_id = 7400 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-14 month')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate LIMIT 1
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 7400 WHERE "prescriptions"."drug" = 'potassium chloride' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-14 month')) SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 7400 JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'furosemide' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-14 month') ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1
| 0.808594 |
CREATE TABLE table_name_36 (position VARCHAR, school_club_team VARCHAR)
|
What is the Position of the player from Vanderbilt?
|
SELECT position FROM table_name_36 WHERE school_club_team = "vanderbilt"
|
SELECT "position" FROM "table_name_36" WHERE "school_club_team" = "vanderbilt"
| 0.076172 |
CREATE TABLE table_39790 ("Year" FLOAT, "Award" TEXT, "Category" TEXT, "Nominated Work" TEXT, "Result" TEXT)
|
How many years has the Mercury Prize award been given?
|
SELECT COUNT("Year") FROM table_39790 WHERE "Award" = 'mercury prize'
|
SELECT COUNT("Year") FROM "table_39790" WHERE "Award" = 'mercury prize'
| 0.069336 |
CREATE TABLE table_36267 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Mountains classification" TEXT, "Asian rider classification" TEXT, "Team classification" TEXT, "Asian team classification" TEXT)
|
WHich Mountains classification has an Asian team classification of seoul cycling team, and a Winner of alexandre usov?
|
SELECT "Mountains classification" FROM table_36267 WHERE "Asian team classification" = 'seoul cycling team' AND "Winner" = 'alexandre usov'
|
SELECT "Mountains classification" FROM "table_36267" WHERE "Asian team classification" = 'seoul cycling team' AND "Winner" = 'alexandre usov'
| 0.137695 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many patients whose primary disease is stemi and drug name is atropine sulfate?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "STEMI" AND prescriptions.drug = "Atropine Sulfate"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Atropine Sulfate" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "STEMI" = "demographic"."diagnosis"
| 0.228516 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many asian patients were treated with nifedipine cr?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug = "NIFEdipine CR"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NIFEdipine CR" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity"
| 0.225586 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 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 CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (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 ReviewTaskResultTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTaskTypes (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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Who downvoted on my post.
|
SELECT p.Id AS "post_link", v.UserId, v.VoteTypeId, p.Score, p.Id, v.PostId FROM Posts AS p INNER JOIN Votes AS v ON v.PostId = p.Id INNER JOIN VoteTypes AS vt ON v.VoteTypeId = vt.Id WHERE p.OwnerUserId = '##UserId##' AND p.ParentId = '##PostId##'
|
SELECT "p"."Id" AS "post_link", "v"."UserId", "v"."VoteTypeId", "p"."Score", "p"."Id", "v"."PostId" FROM "Posts" AS "p" JOIN "Votes" AS "v" ON "p"."Id" = "v"."PostId" JOIN "VoteTypes" AS "vt" ON "v"."VoteTypeId" = "vt"."Id" WHERE "p"."OwnerUserId" = '##UserId##' AND "p"."ParentId" = '##PostId##'
| 0.289063 |
CREATE TABLE table_56286 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What Visiting Team(s) had an Attendance of over 18,680
|
SELECT "Visitor" FROM table_56286 WHERE "Attendance" > '18,680'
|
SELECT "Visitor" FROM "table_56286" WHERE "Attendance" > '18,680'
| 0.063477 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 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 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
|
are there any flights from BOSTON to OAKLAND that stop
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' 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 = 'BOSTON' 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" = 'BOSTON' 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 "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'OAKLAND'
| 0.5625 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of hire_date and the average of employee_id bin hire_date by time in a bar chart.
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SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
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SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.173828 |
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)
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give the number of patients who were born before the year 2120 whose lab test fluid is joint fluid.
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2120" AND lab.fluid = "Joint Fluid"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2120" > "demographic"."dob_year"
| 0.193359 |
CREATE TABLE table_6287 ("Round" TEXT, "Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" TEXT)
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What was the date of the game with a result of won 4-2?
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SELECT "Date" FROM table_6287 WHERE "Result" = 'won 4-2'
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SELECT "Date" FROM "table_6287" WHERE "Result" = 'won 4-2'
| 0.056641 |
CREATE TABLE apartment_buildings (building_id DECIMAL, building_short_name TEXT, building_full_name TEXT, building_description TEXT, building_address TEXT, building_manager TEXT, building_phone TEXT)
CREATE TABLE apartment_facilities (apt_id DECIMAL, facility_code TEXT)
CREATE TABLE view_unit_status (apt_id DECIMAL, apt_booking_id DECIMAL, status_date TIME, available_yn others)
CREATE TABLE apartments (apt_id DECIMAL, building_id DECIMAL, apt_type_code TEXT, apt_number TEXT, bathroom_count DECIMAL, bedroom_count DECIMAL, room_count TEXT)
CREATE TABLE guests (guest_id DECIMAL, gender_code TEXT, guest_first_name TEXT, guest_last_name TEXT, date_of_birth TIME)
CREATE TABLE apartment_bookings (apt_booking_id DECIMAL, apt_id DECIMAL, guest_id DECIMAL, booking_status_code TEXT, booking_start_date TIME, booking_end_date TIME)
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Show the most common apartment type code among apartments with more than 1 bathroom.
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SELECT apt_type_code FROM apartments WHERE bathroom_count > 1 GROUP BY apt_type_code ORDER BY COUNT(*) DESC LIMIT 1
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SELECT "apt_type_code" FROM "apartments" WHERE "bathroom_count" > 1 GROUP BY "apt_type_code" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.130859 |
CREATE TABLE table_26258348_4 (pole_position VARCHAR, grand_prix VARCHAR)
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Who had the pole position in the Canadian Grand Prix?
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SELECT pole_position FROM table_26258348_4 WHERE grand_prix = "Canadian grand_prix"
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SELECT "pole_position" FROM "table_26258348_4" WHERE "Canadian grand_prix" = "grand_prix"
| 0.086914 |
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