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CREATE TABLE table_dev_56 ("id" INT, "anemia" BOOLEAN, "gender" TEXT, "white_blood_cell_count_wbc" INT, "hemoglobinopathy" BOOLEAN, "major_hematological_conditions" BOOLEAN, "laboratory_abnormality" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "hematocrit_hct" FLOAT, "platelet_count" FLOAT, "hemoglobin_concentration" FLOAT, "serum_creatinine" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
|
have known hemoglobinopathy or chronic anemia ( hemoglobin concentration < 11.5 g / dl [115 g / l] for male , < 10.5 g / dl [105 g / l] for female ) .
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SELECT * FROM table_dev_56 WHERE hemoglobinopathy = 1 OR anemia = 1 OR (hemoglobin_concentration < 11.5 AND gender = 'male') OR (hemoglobin_concentration < 10.5 AND gender = 'female')
|
SELECT * FROM "table_dev_56" WHERE ("anemia" = 1 OR "gender" = 'female' OR "gender" = 'male' OR "hemoglobinopathy" = 1) AND ("anemia" = 1 OR "gender" = 'male' OR "hemoglobin_concentration" < 10.5 OR "hemoglobinopathy" = 1) AND ("anemia" = 1 OR "hemoglobin_concentration" < 11.5 OR "hemoglobinopathy" = 1)
| 0.296875 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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)
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today what was the total output of patient 007-16517?
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SELECT SUM(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 = '007-16517')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day')
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WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-16517' 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 SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL
| 0.674805 |
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE minor_in (stuid DECIMAL, dno DECIMAL)
CREATE TABLE course (cid TEXT, cname TEXT, credits DECIMAL, instructor DECIMAL, days TEXT, hours TEXT, dno DECIMAL)
CREATE TABLE enrolled_in (stuid DECIMAL, cid TEXT, grade TEXT)
CREATE TABLE faculty (facid DECIMAL, lname TEXT, fname TEXT, rank TEXT, sex TEXT, phone DECIMAL, room TEXT, building TEXT)
CREATE TABLE member_of (facid DECIMAL, dno DECIMAL, appt_type TEXT)
CREATE TABLE department (dno DECIMAL, division TEXT, dname TEXT, room TEXT, building TEXT, dphone DECIMAL)
CREATE TABLE gradeconversion (lettergrade TEXT, gradepoint DECIMAL)
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Find the average grade point of student whose last name is Smith.
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SELECT AVG(T2.gradepoint) FROM enrolled_in AS T1 JOIN gradeconversion AS T2 JOIN student AS T3 ON T1.grade = T2.lettergrade AND T1.stuid = T3.stuid WHERE T3.lname = "Smith"
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SELECT AVG("T2"."gradepoint") FROM "enrolled_in" AS "T1" JOIN "gradeconversion" AS "T2" ON "T1"."grade" = "T2"."lettergrade" JOIN "student" AS "T3" ON "Smith" = "T3"."lname" AND "T1"."stuid" = "T3"."stuid"
| 0.200195 |
CREATE TABLE table_204_416 (id DECIMAL, "chip" TEXT, "flash size" TEXT, "eeprom" DECIMAL, "sram" DECIMAL, "frequency\ [mhz]" DECIMAL, "package" TEXT)
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what is the flash size difference in the at90s8515 chip and the at90s4414 ?
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SELECT ABS((SELECT "flash size" FROM table_204_416 WHERE "chip" = 'at90s8515') - (SELECT "flash size" FROM table_204_416 WHERE "chip" = 'at90s4414'))
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SELECT ABS((SELECT "flash size" FROM "table_204_416" WHERE "chip" = 'at90s8515') - (SELECT "flash size" FROM "table_204_416" WHERE "chip" = 'at90s4414'))
| 0.149414 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
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when did patient 006-2586 have the maximum amount of mchc for the last time?
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SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-2586')) AND lab.labname = 'mchc' ORDER BY lab.labresult DESC, lab.labresulttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-2586' 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 "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresult" DESC NULLS LAST, "lab"."labresulttime" DESC NULLS LAST LIMIT 1
| 0.59668 |
CREATE TABLE table_2267345_2 (team_classification VARCHAR, young_rider_classification VARCHAR, combativity_award VARCHAR)
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What is the total number of team classifications when the young rider classification leader was Salvatore Commesso and the combativity award winner was Jacky Durand?
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SELECT COUNT(team_classification) FROM table_2267345_2 WHERE young_rider_classification = "Salvatore Commesso" AND combativity_award = "Jacky Durand"
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SELECT COUNT("team_classification") FROM "table_2267345_2" WHERE "Jacky Durand" = "combativity_award" AND "Salvatore Commesso" = "young_rider_classification"
| 0.15332 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (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 Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
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Stack OverFlow questions stats for 'r' tag.
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SELECT YEAR(Posts.CreationDate) AS year, COUNT(Posts.Id) AS questions, SUM(Posts.AnswerCount) AS answers, COUNT(Posts.AcceptedAnswerId) AS closed, COUNT(DISTINCT Posts.OwnerUserId) AS users, SUM(Posts.ViewCount) AS views FROM Posts INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON Tags.Id = PostTags.TagId AND Tags.TagName = 'r' INNER JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId AND PostTypes.Name = 'Question' GROUP BY YEAR(CreationDate)
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SELECT YEAR("Posts"."CreationDate") AS "year", COUNT("Posts"."Id") AS "questions", SUM("Posts"."AnswerCount") AS "answers", COUNT("Posts"."AcceptedAnswerId") AS "closed", COUNT(DISTINCT "Posts"."OwnerUserId") AS "users", SUM("Posts"."ViewCount") AS "views" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "PostTypes" ON "PostTypes"."Id" = "Posts"."PostTypeId" AND "PostTypes"."Name" = 'Question' JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = 'r' GROUP BY YEAR("CreationDate")
| 0.511719 |
CREATE TABLE table_60295 ("Team" TEXT, "CF appearances" FLOAT, "CF wins" FLOAT, "Cup wins" FLOAT, "Last CF" FLOAT)
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What is the lowest number of cf wins of the chicago blackhawks, which has more than 4 cf appearances, a last cf in 2013, and more than 2 cup wins?
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SELECT MIN("CF wins") FROM table_60295 WHERE "CF appearances" > '4' AND "Last CF" = '2013' AND "Team" = 'chicago blackhawks' AND "Cup wins" > '2'
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SELECT MIN("CF wins") FROM "table_60295" WHERE "CF appearances" > '4' AND "Cup wins" > '2' AND "Last CF" = '2013' AND "Team" = 'chicago blackhawks'
| 0.143555 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
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100 longest posts by user.
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SELECT Id AS "post_link", LENGTH(Body) AS Length, Score, (Score / CAST(LENGTH(Body) AS FLOAT(9, 2))) AS Economy FROM Posts AS p WHERE p.OwnerUserId = '##UserId##' ORDER BY Economy LIMIT 100
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SELECT "Id" AS "post_link", LENGTH("Body") AS "Length", "Score", "Score" / NULLIF(CAST(LENGTH("Body") AS FLOAT(9, 2)), 0) AS "Economy" FROM "Posts" AS "p" WHERE "p"."OwnerUserId" = '##UserId##' ORDER BY "Economy" NULLS FIRST LIMIT 100
| 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 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)
|
calculate the average age of unmarried patients admitted to trsf within this facility
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SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admission_location = "TRSF WITHIN THIS FACILITY"
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SELECT AVG("demographic"."age") FROM "demographic" WHERE "SINGLE" = "demographic"."marital_status" AND "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location"
| 0.163086 |
CREATE TABLE table_6280 ("Runs" FLOAT, "Match" FLOAT, "City/Country" TEXT, "Venue" TEXT, "Year" FLOAT)
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Which Year has a Match of 63?
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SELECT "Year" FROM table_6280 WHERE "Match" = '63'
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SELECT "Year" FROM "table_6280" WHERE "Match" = '63'
| 0.050781 |
CREATE TABLE table_57387 ("Player" TEXT, "Date of Birth" TEXT, "Batting Style" TEXT, "Bowling Style" TEXT, "First Class Team" TEXT)
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What is the batting style of Makhaya Ntini?
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SELECT "Batting Style" FROM table_57387 WHERE "Player" = 'makhaya ntini'
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SELECT "Batting Style" FROM "table_57387" WHERE "Player" = 'makhaya ntini'
| 0.072266 |
CREATE TABLE table_52494 ("Block A" TEXT, "BLACK BUSHI" TEXT, "BUSHI" TEXT, "Kaz Hayashi" TEXT, "Kenny Omega" TEXT, "Minoru" TEXT)
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Name the kaz hayashi for block A being bushi
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SELECT "Kaz Hayashi" FROM table_52494 WHERE "Block A" = 'bushi'
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SELECT "Kaz Hayashi" FROM "table_52494" WHERE "Block A" = 'bushi'
| 0.063477 |
CREATE TABLE table_name_36 (audience VARCHAR, episode VARCHAR)
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What was the audience for Episode 21?
|
SELECT audience FROM table_name_36 WHERE episode = "21"
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SELECT "audience" FROM "table_name_36" WHERE "21" = "episode"
| 0.05957 |
CREATE TABLE table_72363 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT, "Candidates" TEXT)
|
What district was John Porter elected in?
|
SELECT "District" FROM table_72363 WHERE "Incumbent" = 'John Porter'
|
SELECT "District" FROM "table_72363" WHERE "Incumbent" = 'John Porter'
| 0.068359 |
CREATE TABLE table_name_65 (home_team VARCHAR)
|
What was Carlton's score as the home team?
|
SELECT home_team AS score FROM table_name_65 WHERE home_team = "carlton"
|
SELECT "home_team" AS "score" FROM "table_name_65" WHERE "carlton" = "home_team"
| 0.078125 |
CREATE TABLE table_name_38 (game VARCHAR, score VARCHAR, points VARCHAR)
|
How many Games have a Score of 2 6, and Points larger than 62?
|
SELECT COUNT(game) FROM table_name_38 WHERE score = "2–6" AND points > 62
|
SELECT COUNT("game") FROM "table_name_38" WHERE "2–6" = "score" AND "points" > 62
| 0.079102 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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)
|
count the number of patients whose marital status is married and year of death is less than or equal to 2165?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.dod_year <= "2165.0"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2165.0" >= "demographic"."dod_year" AND "MARRIED" = "demographic"."marital_status"
| 0.154297 |
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)
|
give me the number of patients whose diagnoses short title is urin tract infection nos and drug type is additive?
|
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.short_title = "Urin tract infection NOS" AND prescriptions.drug_type = "ADDITIVE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Urin tract infection NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.308594 |
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight 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 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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
|
flight will start from BOSTON
|
SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'BOSTON' AND flight.from_airport = airport_service.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'BOSTON' JOIN "flight" ON "airport_service"."airport_code" = "flight"."from_airport"
| 0.229492 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 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)
|
on the first icu visit what was the minimum value of sao2 of patient 009-15?
|
SELECT MIN(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 = '009-15') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND NOT vitalperiodic.sao2 IS NULL
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '009-15' GROUP BY "patienthealthsystemstayid") SELECT MIN("vitalperiodic"."sao2") FROM "vitalperiodic" WHERE "vitalperiodic"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1) AND NOT "vitalperiodic"."sao2" IS NULL
| 0.541992 |
CREATE TABLE table_20472 ("Headphone Model" TEXT, "Headphone Class" TEXT, "Driver-matched dB" TEXT, "Construction" TEXT, "Earpads" TEXT, "Termination" TEXT, "US MSRP" TEXT)
|
Which headphone models correspond to the US MSRP of $150?
|
SELECT "Headphone Model" FROM table_20472 WHERE "US MSRP" = '$150'
|
SELECT "Headphone Model" FROM "table_20472" WHERE "US MSRP" = '$150'
| 0.066406 |
CREATE TABLE table_31883 ("Tournament" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
|
Tell me the 2008 of 2001 olympic games
|
SELECT "2008" FROM table_31883 WHERE "2011" = 'olympic games'
|
SELECT "2008" FROM "table_31883" WHERE "2011" = 'olympic games'
| 0.061523 |
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 month (month_number INT, month_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
|
what are your flights from PITTSBURGH to BALTIMORE
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.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" = 'PITTSBURGH' 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 "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE'
| 0.499023 |
CREATE TABLE table_name_16 (round VARCHAR, result VARCHAR)
|
What round resulted in 6-0, 6-1, 6-2?
|
SELECT round FROM table_name_16 WHERE result = "6-0, 6-1, 6-2"
|
SELECT "round" FROM "table_name_16" WHERE "6-0, 6-1, 6-2" = "result"
| 0.066406 |
CREATE TABLE table_name_39 (primary_military_speciality VARCHAR, code_name VARCHAR)
|
What is Moondancer's Primary Military Speciality?
|
SELECT primary_military_speciality FROM table_name_39 WHERE code_name = "moondancer"
|
SELECT "primary_military_speciality" FROM "table_name_39" WHERE "code_name" = "moondancer"
| 0.087891 |
CREATE TABLE table_47142 ("Rank" TEXT, "Team" TEXT, "Run 1" TEXT, "Run 2" TEXT, "Run 3" TEXT, "Run 4" TEXT, "Final" TEXT)
|
Which team had a run 4 of 1:24.4?
|
SELECT "Team" FROM table_47142 WHERE "Run 4" = '1:24.4'
|
SELECT "Team" FROM "table_47142" WHERE "Run 4" = '1:24.4'
| 0.055664 |
CREATE TABLE table_15647 ("Region" TEXT, "Date" TEXT, "Label" TEXT, "Format" TEXT, "Catalog" TEXT)
|
What was the region for the 38xa-5 catalog?
|
SELECT "Region" FROM table_15647 WHERE "Catalog" = '38xa-5'
|
SELECT "Region" FROM "table_15647" WHERE "Catalog" = '38xa-5'
| 0.05957 |
CREATE TABLE table_46029 ("Type" TEXT, "Name" TEXT, "Title" TEXT, "Royal house" TEXT, "From" TEXT)
|
What is the title of the one who ruled from 2007 BC?
|
SELECT "Title" FROM table_46029 WHERE "From" = '2007 bc'
|
SELECT "Title" FROM "table_46029" WHERE "From" = '2007 bc'
| 0.056641 |
CREATE TABLE table_28466323_2 (directed_by VARCHAR, us_viewers__million_ VARCHAR)
|
Who directed the episode watched by 2.01 million US viewers?
|
SELECT directed_by FROM table_28466323_2 WHERE us_viewers__million_ = "2.01"
|
SELECT "directed_by" FROM "table_28466323_2" WHERE "2.01" = "us_viewers__million_"
| 0.080078 |
CREATE TABLE table_10621256_1 (player VARCHAR, inns VARCHAR)
|
what's the player where inns is 21
|
SELECT player FROM table_10621256_1 WHERE inns = 21
|
SELECT "player" FROM "table_10621256_1" WHERE "inns" = 21
| 0.055664 |
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)
|
provide the drug type of jerry deberry.
|
SELECT prescriptions.drug_type FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Jerry Deberry"
|
SELECT "prescriptions"."drug_type" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name"
| 0.169922 |
CREATE TABLE teaches (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL)
CREATE TABLE time_slot (time_slot_id TEXT, day TEXT, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE classroom (building TEXT, room_number TEXT, capacity DECIMAL)
CREATE TABLE takes (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, grade TEXT)
CREATE TABLE student (id TEXT, name TEXT, dept_name TEXT, tot_cred DECIMAL)
CREATE TABLE course (course_id TEXT, title TEXT, dept_name TEXT, credits DECIMAL)
CREATE TABLE advisor (s_id TEXT, i_id TEXT)
CREATE TABLE prereq (course_id TEXT, prereq_id TEXT)
CREATE TABLE section (course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, building TEXT, room_number TEXT, time_slot_id TEXT)
CREATE TABLE instructor (id TEXT, name TEXT, dept_name TEXT, salary DECIMAL)
CREATE TABLE department (dept_name TEXT, building TEXT, budget DECIMAL)
|
What are the ids for courses that were offered in both Fall of 2009 and Spring of 2010?
|
SELECT course_id FROM section WHERE semester = 'Fall' AND year = 2009 INTERSECT SELECT course_id FROM section WHERE semester = 'Spring' AND year = 2010
|
SELECT "course_id" FROM "section" WHERE "semester" = 'Fall' AND "year" = 2009 INTERSECT SELECT "course_id" FROM "section" WHERE "semester" = 'Spring' AND "year" = 2010
| 0.163086 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Average User Reputation for All Popular Tags.
|
SELECT u.Id AS "user_link", t.TagName, u.Reputation AS rep, u.DisplayName AS UserName FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE (u.Location = 'Copenhagen' OR u.Location = 'Denmark') AND (t.TagName = 'python' OR t.TagName = 'docker' OR t.TagName = 'amazon-web-services') AND u.Reputation >= '400' GROUP BY u.Id, u.Reputation, u.DisplayName, t.TagName
|
SELECT "u"."Id" AS "user_link", "t"."TagName", "u"."Reputation" AS "rep", "u"."DisplayName" AS "UserName" FROM "Posts" AS "p" JOIN "PostTags" AS "pt" ON "p"."Id" = "pt"."PostId" JOIN "Users" AS "u" ON "p"."OwnerUserId" = "u"."Id" AND ("u"."Location" = 'Copenhagen' OR "u"."Location" = 'Denmark') AND "u"."Reputation" >= '400' JOIN "Tags" AS "t" ON "pt"."TagId" = "t"."Id" AND ("t"."TagName" = 'amazon-web-services' OR "t"."TagName" = 'docker' OR "t"."TagName" = 'python') GROUP BY "u"."Id", "u"."Reputation", "u"."DisplayName", "t"."TagName"
| 0.52832 |
CREATE TABLE table_6649 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Round" TEXT)
|
Opponent of leonardo castello branco had what record?
|
SELECT "Record" FROM table_6649 WHERE "Opponent" = 'leonardo castello branco'
|
SELECT "Record" FROM "table_6649" WHERE "Opponent" = 'leonardo castello branco'
| 0.077148 |
CREATE TABLE table_name_35 (to_par VARCHAR, score VARCHAR)
|
What was the to par when the score was 69-69=138?
|
SELECT to_par FROM table_name_35 WHERE score = 69 - 69 = 138
|
SELECT "to_par" FROM "table_name_35" WHERE "score" = FALSE
| 0.056641 |
CREATE TABLE table_1670921_2 (wicket VARCHAR, runs VARCHAR, fielding_team VARCHAR)
|
What are the wickets when there are 451 runs and india is the fielding team?
|
SELECT wicket FROM table_1670921_2 WHERE runs = "451" AND fielding_team = "India"
|
SELECT "wicket" FROM "table_1670921_2" WHERE "451" = "runs" AND "India" = "fielding_team"
| 0.086914 |
CREATE TABLE table_70849 ("Rider" TEXT, "Matches" FLOAT, "Rides" FLOAT, "Bonus Pts" FLOAT, "Total Points" FLOAT)
|
How many rides did it take Ray Day to get 274 points in total with less than 3 bonus points?
|
SELECT COUNT("Rides") FROM table_70849 WHERE "Total Points" < '274' AND "Rider" = 'ray day' AND "Bonus Pts" > '3'
|
SELECT COUNT("Rides") FROM "table_70849" WHERE "Bonus Pts" > '3' AND "Rider" = 'ray day' AND "Total Points" < '274'
| 0.112305 |
CREATE TABLE table_train_19 ("id" INT, "white_blood_cell_count_wbc" INT, "active_infection" BOOLEAN, "heart_disease" BOOLEAN, "temperature" FLOAT, "skin_lesion" BOOLEAN, "heart_rate" INT, "paco2" FLOAT, "immature_form" INT, "respiratory_rate" INT, "age" FLOAT, "NOUSE" FLOAT)
|
age >= 20 ;
|
SELECT * FROM table_train_19 WHERE age >= 20
|
SELECT * FROM "table_train_19" WHERE "age" >= 20
| 0.046875 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
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)
|
give the number of patients of hispanic/latino-puerto rican ethnicity who were admitted as newborn.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" AND "NEWBORN" = "demographic"."admission_type"
| 0.177734 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
find the number of patients admitted before 2177 who have abnormal lab test status.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2177" AND lab.flag = "abnormal"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2177" > "demographic"."admityear"
| 0.19043 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
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)
|
For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the sum of manager_id bin hire_date by time.
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.108398 |
CREATE TABLE table_name_32 (score VARCHAR, venue VARCHAR, result VARCHAR)
|
What was the score in the venue of Seoul that resulted in 8-0?
|
SELECT score FROM table_name_32 WHERE venue = "seoul" AND result = "8-0"
|
SELECT "score" FROM "table_name_32" WHERE "8-0" = "result" AND "seoul" = "venue"
| 0.078125 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
tell me the duration of patient 010-1155's first stay in the intensive care unit.
|
SELECT STRFTIME('%j', patient.unitdischargetime) - STRFTIME('%j', patient.unitadmittime) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-1155') AND NOT patient.unitadmittime IS NULL ORDER BY patient.unitadmittime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-1155' GROUP BY "patienthealthsystemstayid") SELECT STRFTIME('%j', "patient"."unitdischargetime") - STRFTIME('%j', "patient"."unitadmittime") FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitadmittime" IS NULL ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1
| 0.459961 |
CREATE TABLE table_name_64 (seats_2006 INT, _percentage_2001 VARCHAR, seats_2001 VARCHAR)
|
what is the seats 2006 total with %2001 of 39 and seats 2001 less than 12?
|
SELECT MAX(seats_2006) FROM table_name_64 WHERE _percentage_2001 = 39 AND seats_2001 < 12
|
SELECT MAX("seats_2006") FROM "table_name_64" WHERE "_percentage_2001" = 39 AND "seats_2001" < 12
| 0.094727 |
CREATE TABLE table_dev_8 ("id" INT, "systolic_blood_pressure_sbp" INT, "heart_disease" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "coronary_artery_disease_cad" BOOLEAN, "triglyceride_tg" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
|
history of any heart disease including coronary artery disease
|
SELECT * FROM table_dev_8 WHERE heart_disease = 1 OR coronary_artery_disease_cad = 1
|
SELECT * FROM "table_dev_8" WHERE "coronary_artery_disease_cad" = 1 OR "heart_disease" = 1
| 0.087891 |
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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
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_labitems (row_id DECIMAL, itemid DECIMAL, label 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
when was the last time during this month that patient 92788 had the minimum lactate value?
|
SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92788) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'lactate') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY labevents.valuenum, labevents.charttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 92788 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'lactate' GROUP BY "itemid") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."valuenum" NULLS FIRST, "labevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.65918 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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)
|
how many patients whose gender is m and diagnoses icd9 code is 28521?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "28521"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "28521" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender"
| 0.204102 |
CREATE TABLE table_24723 ("Year" FLOAT, "Film" TEXT, "Budget" TEXT, "Domestic Box Office" TEXT, "Foreign Box Office" TEXT, "Total" TEXT, "US DVD sales" TEXT, "Total ( with DVD sales ) " TEXT)
|
What was the domestic box office for the film that had a foreign box office of $26,600,000?
|
SELECT "Domestic Box Office" FROM table_24723 WHERE "Foreign Box Office" = '$26,600,000'
|
SELECT "Domestic Box Office" FROM "table_24723" WHERE "Foreign Box Office" = '$26,600,000'
| 0.087891 |
CREATE TABLE table_name_95 (rank INT, bronze VARCHAR, gold VARCHAR, silver VARCHAR)
|
What is the lowest rank of a nation with fewer than 3 gold medals, more than 2 bronze medals, and 0 silver medals?
|
SELECT MIN(rank) FROM table_name_95 WHERE gold < 3 AND silver = 0 AND bronze > 2
|
SELECT MIN("rank") FROM "table_name_95" WHERE "bronze" > 2 AND "gold" < 3 AND "silver" = 0
| 0.087891 |
CREATE TABLE party (Party_ID INT, Year FLOAT, Party TEXT, Governor TEXT, Lieutenant_Governor TEXT, Comptroller TEXT, Attorney_General TEXT, US_Senate TEXT)
CREATE TABLE election (Election_ID INT, Counties_Represented TEXT, District INT, Delegate TEXT, Party INT, First_Elected FLOAT, Committee TEXT)
CREATE TABLE county (County_Id INT, County_name TEXT, Population FLOAT, Zip_code TEXT)
|
Show the name of each party and the corresponding number of delegates from that party Plot them as bar chart, sort by the y-axis in descending.
|
SELECT T2.Party, SUM(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY SUM(COUNT(*)) DESC
|
SELECT "T2"."Party", SUM(COUNT(*)) FROM "election" AS "T1" JOIN "party" AS "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY SUM(COUNT(*)) DESC NULLS LAST
| 0.169922 |
CREATE TABLE table_14059 ("Gene" TEXT, "Route of administration" TEXT, "Phase" TEXT, "Subject number" TEXT, "Status" TEXT)
|
What is the statue of the aat gene, which has an intramuscular route of administration?
|
SELECT "Status" FROM table_14059 WHERE "Route of administration" = 'intramuscular' AND "Gene" = 'aat'
|
SELECT "Status" FROM "table_14059" WHERE "Gene" = 'aat' AND "Route of administration" = 'intramuscular'
| 0.100586 |
CREATE TABLE table_74951 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
Which Silver has a Nation of china, and a Bronze smaller than 7?
|
SELECT SUM("Silver") FROM table_74951 WHERE "Nation" = 'china' AND "Bronze" < '7'
|
SELECT SUM("Silver") FROM "table_74951" WHERE "Bronze" < '7' AND "Nation" = 'china'
| 0.081055 |
CREATE TABLE table_72382 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
|
what's the district with result being new seat democratic gain
|
SELECT "District" FROM table_72382 WHERE "Result" = 'New seat Democratic gain'
|
SELECT "District" FROM "table_72382" WHERE "Result" = 'New seat Democratic gain'
| 0.078125 |
CREATE TABLE table_name_55 (date VARCHAR, margin_of_victory VARCHAR, runner_s__up VARCHAR)
|
Which date was the event that Yani won in a playoff over Yueh-Chyn Huang?
|
SELECT date FROM table_name_55 WHERE margin_of_victory = "playoff" AND runner_s__up = "yueh-chyn huang"
|
SELECT "date" FROM "table_name_55" WHERE "margin_of_victory" = "playoff" AND "runner_s__up" = "yueh-chyn huang"
| 0.108398 |
CREATE TABLE table_68791 ("Institution" TEXT, "Team" TEXT, "City" TEXT, "Province" TEXT, "First season" FLOAT, "Head coach" TEXT, "Enrollment" FLOAT, "Football stadium" TEXT, "Capacity" FLOAT)
|
What's the name of the city whose first season was in 1996?
|
SELECT "City" FROM table_68791 WHERE "First season" = '1996'
|
SELECT "City" FROM "table_68791" WHERE "First season" = '1996'
| 0.060547 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE 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 CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
|
How rare are my badges?.
|
SELECT a.Id, a.OwnerUserId, CASE WHEN a.Score >= 10 THEN 1 ELSE 0 END AS NiceAnswer, CASE WHEN a.Score >= 25 THEN 1 ELSE 0 END AS GoodAnswer, CASE WHEN a.Score >= 100 THEN 1 ELSE 0 END AS GreatAnswer, CASE WHEN a.Score >= 40 AND a.Id = q.AcceptedAnswerId THEN 1 ELSE 0 END AS Guru FROM Posts AS a JOIN Posts AS q ON a.ParentId = q.Id WHERE a.PostTypeId = 2 AND a.OwnerUserId = @UserId
|
SELECT "a"."Id", "a"."OwnerUserId", CASE WHEN "a"."Score" >= 10 THEN 1 ELSE 0 END AS "NiceAnswer", CASE WHEN "a"."Score" >= 25 THEN 1 ELSE 0 END AS "GoodAnswer", CASE WHEN "a"."Score" >= 100 THEN 1 ELSE 0 END AS "GreatAnswer", CASE WHEN "a"."Id" = "q"."AcceptedAnswerId" AND "a"."Score" >= 40 THEN 1 ELSE 0 END AS "Guru" FROM "Posts" AS "a" JOIN "Posts" AS "q" ON "a"."ParentId" = "q"."Id" WHERE "a"."OwnerUserId" = $UserId AND "a"."PostTypeId" = 2
| 0.4375 |
CREATE TABLE table_name_8 (opponent VARCHAR, record VARCHAR)
|
Who was the Blue Jays' opponent when their record was 33-15?
|
SELECT opponent FROM table_name_8 WHERE record = "33-15"
|
SELECT "opponent" FROM "table_name_8" WHERE "33-15" = "record"
| 0.060547 |
CREATE TABLE table_name_22 (team_1 VARCHAR)
|
WHAT IS THE 2ND LEG WITH TEAM 1 OF SPORTING?
|
SELECT 2 AS nd_leg FROM table_name_22 WHERE team_1 = "sporting"
|
SELECT 2 AS "nd_leg" FROM "table_name_22" WHERE "sporting" = "team_1"
| 0.067383 |
CREATE TABLE table_name_1 (result VARCHAR, week VARCHAR)
|
What was the result of week 11?
|
SELECT result FROM table_name_1 WHERE week = 11
|
SELECT "result" FROM "table_name_1" WHERE "week" = 11
| 0.051758 |
CREATE TABLE table_name_77 (dcsf_number INT, name VARCHAR, ofsted_number VARCHAR)
|
What's the lowest DCSF number in Aycliffe Drive but an Ofsted number smaller than 117335?
|
SELECT MIN(dcsf_number) FROM table_name_77 WHERE name = "aycliffe drive" AND ofsted_number < 117335
|
SELECT MIN("dcsf_number") FROM "table_name_77" WHERE "aycliffe drive" = "name" AND "ofsted_number" < 117335
| 0.104492 |
CREATE TABLE table_name_3 (format VARCHAR, catalog VARCHAR)
|
What s the format for the catalog nebcd058?
|
SELECT format FROM table_name_3 WHERE catalog = "nebcd058"
|
SELECT "format" FROM "table_name_3" WHERE "catalog" = "nebcd058"
| 0.0625 |
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
count the number of patients diagnosed with nausea - with vomiting within 2 months after they have been diagnosed with ards in 2105.
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'nausea - with vomiting' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'ards' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "diagnosis" AS "diagnosis_2" ON "diagnosis"."diagnosistime" < "diagnosis_2"."diagnosistime" AND "diagnosis_2"."diagnosisname" = 'ards' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("diagnosis_2"."diagnosistime") AND STRFTIME('%y', "diagnosis_2"."diagnosistime") = '2105' JOIN "patient" AS "patient_2" ON "diagnosis_2"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'nausea - with vomiting' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105'
| 0.725586 |
CREATE TABLE table_name_55 (appointed_by VARCHAR, title VARCHAR, representative VARCHAR)
|
What is the Appointed by that has the Title of Ambassador Extraordinary and Plenipotentiary and has a Representative of Spruille Braden?
|
SELECT appointed_by FROM table_name_55 WHERE title = "ambassador extraordinary and plenipotentiary" AND representative = "spruille braden"
|
SELECT "appointed_by" FROM "table_name_55" WHERE "ambassador extraordinary and plenipotentiary" = "title" AND "representative" = "spruille braden"
| 0.142578 |
CREATE TABLE table_50038 ("Year" FLOAT, "Round" TEXT, "Player" TEXT, "Nationality" TEXT, "Position" TEXT, "College/High School/Club" TEXT)
|
What is the round of the pf position player from 1996 and the college/high school/club mississippi state?
|
SELECT "Round" FROM table_50038 WHERE "Position" = 'pf' AND "Year" = '1996' AND "College/High School/Club" = 'mississippi state'
|
SELECT "Round" FROM "table_50038" WHERE "College/High School/Club" = 'mississippi state' AND "Position" = 'pf' AND "Year" = '1996'
| 0.126953 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
Among patients admitted before 2184, how many of them had a urine test by lab?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2184" AND lab.fluid = "Urine"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2184" > "demographic"."admityear"
| 0.188477 |
CREATE TABLE Customers_Cards (card_id INT, customer_id INT, card_type_code VARCHAR, card_number VARCHAR, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR)
CREATE TABLE Financial_Transactions (transaction_id INT, previous_transaction_id INT, account_id INT, card_id INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_last_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, other_customer_details VARCHAR)
|
What are the different card types, and how many cards are there of each, and list in asc by the the total number .
|
SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code ORDER BY COUNT(*)
|
SELECT "card_type_code", COUNT(*) FROM "Customers_Cards" GROUP BY "card_type_code" ORDER BY COUNT(*) NULLS FIRST
| 0.109375 |
CREATE TABLE table_26996293_2 (pick__number VARCHAR, college VARCHAR)
|
where college is st. francis xavier what are all the pick #
|
SELECT pick__number FROM table_26996293_2 WHERE college = "St. Francis Xavier"
|
SELECT "pick__number" FROM "table_26996293_2" WHERE "St. Francis Xavier" = "college"
| 0.082031 |
CREATE TABLE table_17901 ("Unit" TEXT, "Type" TEXT, "Net power" TEXT, "Total power" TEXT, "Construction start" TEXT, "Construction finish" TEXT, "Commercial operation" TEXT, "Shut down" TEXT)
|
How many different values of total power are there for the unit whose construction started on 01.03.1977 and whose commercial operation started on 01.02.1984?
|
SELECT COUNT("Total power") FROM table_17901 WHERE "Construction start" = '01.03.1977' AND "Commercial operation" = '01.02.1984'
|
SELECT COUNT("Total power") FROM "table_17901" WHERE "Commercial operation" = '01.02.1984' AND "Construction start" = '01.03.1977'
| 0.126953 |
CREATE TABLE table_name_35 (rank INT, ast_avg INT)
|
What is the average rank for players with less than 2.9 Assists per game?
|
SELECT AVG(rank) FROM table_name_35 WHERE ast_avg < 2.9
|
SELECT AVG("rank") FROM "table_name_35" WHERE "ast_avg" < 2.9
| 0.05957 |
CREATE TABLE table_46265 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
|
What is the highest grid for Aprilia vehicles, laps over 5, and a retirement finish?
|
SELECT MAX("Grid") FROM table_46265 WHERE "Manufacturer" = 'aprilia' AND "Time" = 'retirement' AND "Laps" > '5'
|
SELECT MAX("Grid") FROM "table_46265" WHERE "Laps" > '5' AND "Manufacturer" = 'aprilia' AND "Time" = 'retirement'
| 0.110352 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
calculate the number of hispanic or latino patients with lab test item id 51104.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND lab.itemid = "51104"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51104" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "HISPANIC OR LATINO" = "demographic"."ethnicity"
| 0.203125 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
A scatter chart shows the correlation between Team_ID and All_Games_Percent , and group by attribute All_Home.
|
SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY All_Home
|
SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Home"
| 0.079102 |
CREATE TABLE table_22705586_1 (number INT)
|
Name the least number
|
SELECT MIN(number) FROM table_22705586_1
|
SELECT MIN("number") FROM "table_22705586_1"
| 0.042969 |
CREATE TABLE table_41093 ("Ship" TEXT, "13.5-inch/1400lb" FLOAT, "13.5-inch/1250lb" FLOAT, "12-inch" FLOAT, "Total" FLOAT)
|
What is the lowest 13.5-inch/1400lb with a 13.5-inch/1250lb less than 2, a 12-inch of 0, and a Total larger than 8?
|
SELECT MIN("13.5-inch/1400lb") FROM table_41093 WHERE "13.5-inch/1250lb" < '2' AND "12-inch" = '0' AND "Total" > '8'
|
SELECT MIN("13.5-inch/1400lb") FROM "table_41093" WHERE "12-inch" = '0' AND "13.5-inch/1250lb" < '2' AND "Total" > '8'
| 0.115234 |
CREATE TABLE table_14332822_1 (coding VARCHAR, genbank_id VARCHAR)
|
What is the coding for hq021442 genbankid?
|
SELECT coding FROM table_14332822_1 WHERE genbank_id = "HQ021442"
|
SELECT "coding" FROM "table_14332822_1" WHERE "HQ021442" = "genbank_id"
| 0.069336 |
CREATE TABLE table_name_97 (quantity_made VARCHAR, class VARCHAR)
|
How many have a class of 330?
|
SELECT quantity_made FROM table_name_97 WHERE class = "330"
|
SELECT "quantity_made" FROM "table_name_97" WHERE "330" = "class"
| 0.063477 |
CREATE TABLE table_name_87 (period_active VARCHAR, genre VARCHAR)
|
What was the active period for the pop genre?
|
SELECT period_active FROM table_name_87 WHERE genre = "pop"
|
SELECT "period_active" FROM "table_name_87" WHERE "genre" = "pop"
| 0.063477 |
CREATE TABLE table_41096 ("Ship" TEXT, "13.5-inch/1400lb" FLOAT, "13.5-inch/1250lb" FLOAT, "12-inch" FLOAT, "Total" FLOAT)
|
What is the average Total when the ship was l tzow, with a 13.5-inch/1400lb smaller than 0?
|
SELECT AVG("Total") FROM table_41096 WHERE "Ship" = 'lützow' AND "13.5-inch/1400lb" < '0'
|
SELECT AVG("Total") FROM "table_41096" WHERE "13.5-inch/1400lb" < '0' AND "Ship" = 'lützow'
| 0.088867 |
CREATE TABLE table_name_60 (date VARCHAR, tie_no VARCHAR)
|
What date has 1 as the tie no.?
|
SELECT date FROM table_name_60 WHERE tie_no = "1"
|
SELECT "date" FROM "table_name_60" WHERE "1" = "tie_no"
| 0.053711 |
CREATE TABLE table_6625 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
On January 5 who was the home team?
|
SELECT "Home" FROM table_6625 WHERE "Date" = 'january 5'
|
SELECT "Home" FROM "table_6625" WHERE "Date" = 'january 5'
| 0.056641 |
CREATE TABLE table_75694 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the number of totals that have silvers under 2, bronzes over 0, and golds over 1?
|
SELECT COUNT("Total") FROM table_75694 WHERE "Silver" < '2' AND "Bronze" > '0' AND "Gold" > '1'
|
SELECT COUNT("Total") FROM "table_75694" WHERE "Bronze" > '0' AND "Gold" > '1' AND "Silver" < '2'
| 0.094727 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Plot acc_percent by grouped by team name as a bar graph, and show X-axis from low to high order.
|
SELECT Team_Name, ACC_Percent FROM basketball_match ORDER BY Team_Name
|
SELECT "Team_Name", "ACC_Percent" FROM "basketball_match" ORDER BY "Team_Name" NULLS FIRST
| 0.087891 |
CREATE TABLE table_72875 ("Fin. Pos" FLOAT, "Car No." FLOAT, "Driver" TEXT, "Team" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT, "Laps Led" FLOAT, "Points" TEXT)
|
What is the grid for the driver who earned 14 points?
|
SELECT "Grid" FROM table_72875 WHERE "Points" = '14'
|
SELECT "Grid" FROM "table_72875" WHERE "Points" = '14'
| 0.052734 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
|
indicate the monthly minimum volume of drain out #2 pigtail that patient 53863 has had until 1399 days ago.
|
SELECT MIN(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 53863)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'drain out #2 pigtail' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-1399 day') GROUP BY STRFTIME('%y-%m', outputevents.charttime)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 53863 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" = 'drain out #2 pigtail' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT MIN("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime") <= DATETIME(CURRENT_TIME(), '-1399 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y-%m', "outputevents"."charttime")
| 0.820313 |
CREATE TABLE table_name_95 (first_member VARCHAR, election VARCHAR)
|
What is First Member, when Election is '1871 by-election'?
|
SELECT first_member FROM table_name_95 WHERE election = "1871 by-election"
|
SELECT "first_member" FROM "table_name_95" WHERE "1871 by-election" = "election"
| 0.078125 |
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 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 month (month_number INT, month_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight (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_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
|
show me all the flights on DL and TW that go to ATLANTA in the morning
|
SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE (((flight.airline_code = 'DL') OR (flight.airline_code = 'TW')) AND city.city_code = airport_service.city_code AND city.city_name = 'ATLANTA' AND flight.to_airport = airport_service.airport_code) AND flight.departure_time BETWEEN 0 AND 1200
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'ATLANTA' JOIN "flight" ON "airport_service"."airport_code" = "flight"."to_airport" AND ("flight"."airline_code" = 'DL' OR "flight"."airline_code" = 'TW') AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 0
| 0.369141 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those products with a price between 60 and 120, draw a bar chart about the distribution of name and manufacturer , show in descending by the X please.
|
SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Name DESC
|
SELECT "Name", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 ORDER BY "Name" DESC NULLS LAST
| 0.113281 |
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
|
What are the number of the completion dates of all the tests that have result 'Fail'?, and sort y axis in desc order.
|
SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" ORDER BY COUNT(date_of_completion) DESC
|
SELECT "date_of_completion", COUNT("date_of_completion") FROM "Student_Course_Enrolment" AS "T1" JOIN "Student_Tests_Taken" AS "T2" ON "Fail" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" ORDER BY COUNT("date_of_completion") DESC NULLS LAST
| 0.260742 |
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
tell me whether patient 021-172222's systemicsystolic was ever greater than 103.0 in 11/last year?
|
SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-172222')) AND vitalperiodic.systemicsystolic > 103.0 AND NOT vitalperiodic.systemicsystolic IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', vitalperiodic.observationtime) = '11'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-172222' 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 "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."systemicsystolic" > 103.0 AND DATETIME("vitalperiodic"."observationtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicsystolic" IS NULL AND STRFTIME('%m', "vitalperiodic"."observationtime") = '11'
| 0.765625 |
CREATE TABLE table_train_153 ("id" INT, "serum_potassium" FLOAT, "systolic_blood_pressure_sbp" INT, "supplemental_oxygen" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "lung_disease" BOOLEAN, "triglyceride_tg" FLOAT, "fasting_glucose" INT, "NOUSE" FLOAT)
|
lung disease requiring supplemental oxygen
|
SELECT * FROM table_train_153 WHERE lung_disease = 1 AND supplemental_oxygen = 1
|
SELECT * FROM "table_train_153" WHERE "lung_disease" = 1 AND "supplemental_oxygen" = 1
| 0.083984 |
CREATE TABLE table_20156 ("Kinship" TEXT, "Proto-Austronesian" TEXT, "Proto-Malayo-Polynesian" TEXT, "Proto-Oceanic" TEXT, "Proto-Polynesian" TEXT)
|
Name the proto oceanic for *fafine
|
SELECT "Proto-Oceanic" FROM table_20156 WHERE "Proto-Polynesian" = '*fafine'
|
SELECT "Proto-Oceanic" FROM "table_20156" WHERE "Proto-Polynesian" = '*fafine'
| 0.076172 |
CREATE TABLE table_31131 ("#" FLOAT, "Name" TEXT, "Position" TEXT, "Height" TEXT, "Weight" FLOAT, "Year" TEXT, "Former school" TEXT, "Hometown" TEXT)
|
What is the former school of the player from North Port, FL?
|
SELECT "Former school" FROM table_31131 WHERE "Hometown" = 'North Port, FL'
|
SELECT "Former school" FROM "table_31131" WHERE "Hometown" = 'North Port, FL'
| 0.075195 |
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 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
has patient 006-171217 until 2104 been tested for the -bands?
|
SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-171217')) AND lab.labname = '-bands' AND STRFTIME('%y', lab.labresulttime) <= '2104'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-171217' 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 "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-bands' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") <= '2104'
| 0.554688 |
CREATE TABLE table_name_12 (year INT, result VARCHAR)
|
Tell me the sum of year for 5th result
|
SELECT SUM(year) FROM table_name_12 WHERE result = "5th"
|
SELECT SUM("year") FROM "table_name_12" WHERE "5th" = "result"
| 0.060547 |
CREATE TABLE table_15395 ("Date" TEXT, "Opponent" TEXT, "Site" TEXT, "Score" TEXT, "Loss" TEXT)
|
When was the date that had a Loss of Shirley (0-1)?
|
SELECT "Date" FROM table_15395 WHERE "Loss" = 'shirley (0-1)'
|
SELECT "Date" FROM "table_15395" WHERE "Loss" = 'shirley (0-1)'
| 0.061523 |
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
|
How many papers has Noah Smith co-authored since 2009 ?
|
SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, paper, writes WHERE author.authorname <> 'Noah Smith' AND paper.year > 2009 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid AND writes.paperid IN (SELECT WRITESalias1.paperid FROM author AS AUTHORalias1, writes AS WRITESalias1 WHERE AUTHORalias1.authorname LIKE 'Noah Smith' AND WRITESalias1.authorid = AUTHORalias1.authorid)
|
WITH "_u_0" AS (SELECT "WRITESalias1"."paperid" FROM "author" AS "AUTHORalias1" JOIN "writes" AS "WRITESalias1" ON "AUTHORalias1"."authorid" = "WRITESalias1"."authorid" WHERE "AUTHORalias1"."authorname" LIKE 'Noah Smith' GROUP BY "paperid") SELECT DISTINCT COUNT(DISTINCT "writes"."paperid") FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "writes"."paperid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" AND "paper"."year" > 2009 WHERE "author"."authorname" <> 'Noah Smith' AND NOT "_u_0"."" IS NULL
| 0.5625 |
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
|
Right now can I take MOVESCI 425 ?
|
SELECT COUNT(*) > 0 FROM course, course_offering, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'MOVESCI' AND course.number = 425 AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'MOVESCI' AND "course"."number" = 425
| 0.407227 |
CREATE TABLE table_21926985_2 (state_rank_by_revenue VARCHAR, known_for VARCHAR)
|
What is the rank of the company known for retailing?
|
SELECT COUNT(state_rank_by_revenue) FROM table_21926985_2 WHERE known_for = "Retailing"
|
SELECT COUNT("state_rank_by_revenue") FROM "table_21926985_2" WHERE "Retailing" = "known_for"
| 0.09082 |
CREATE TABLE table_18794 ("Season" FLOAT, "Premiers" TEXT, "Runners Up" TEXT, "Score" TEXT, "Captain" TEXT, "Coach" TEXT, "Simpson Medal" TEXT, "Venue" TEXT, "Attendance" FLOAT, "Umpires" TEXT)
|
Who were the umpires when Paul Medhurst (C) won the Simpson Medal?
|
SELECT "Umpires" FROM table_18794 WHERE "Simpson Medal" = 'Paul Medhurst (C)'
|
SELECT "Umpires" FROM "table_18794" WHERE "Simpson Medal" = 'Paul Medhurst (C)'
| 0.077148 |
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