schema
stringlengths 29
5.42k
| question
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stringlengths 2
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| chosen
stringlengths 4
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CREATE TABLE Staff (staff_id NUMBER, gender VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
CREATE TABLE Complaints (complaint_id NUMBER, product_id NUMBER, customer_id NUMBER, complaint_outcome_code VARCHAR2, complaint_status_code VARCHAR2, complaint_type_code VARCHAR2, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id NUMBER)
CREATE TABLE Customers (customer_id NUMBER, customer_type_code VARCHAR2, address_line_1 VARCHAR2, address_line_2 VARCHAR2, town_city VARCHAR2, state VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, product_category_code VARCHAR2, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR2, product_description VARCHAR2, product_price NUMBER)
|
What are all the different product names, and how many complains has each received Show bar chart, I want to display in ascending by the Y.
|
SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY COUNT(*)
|
SELECT "product_name", COUNT(*) FROM "Products" "t1" JOIN "Complaints" "t2" ON "t1"."product_id" = "t2"."product_id" GROUP BY "t1"."product_name" ORDER BY COUNT(*)
| 0.15918 |
CREATE TABLE table_name_88 (team_2 VARCHAR2, team_1 VARCHAR2)
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Who was Team 2 when Team 1 was Am rica?
|
SELECT team_2 FROM table_name_88 WHERE team_1 = "américa"
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SELECT "team_2" FROM "table_name_88" WHERE "américa" = "team_1"
| 0.061523 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many patients' year of birth is before 2121 with joint fluid as the lab test fluid?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2121" AND lab.fluid = "Joint Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2121" > "demographic"."dob_year"
| 0.193359 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
|
Questions upvoted by low vote users only. To investigate CodeGray's claim in http://meta.stackoverflow.com/a/318576/794234 that LQ questions are being upvoted by a subset of low rep users.
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SELECT v.PostId AS "post_link" FROM Votes AS v INNER JOIN (SELECT Id, Reputation FROM Users) AS u ON u.Id = v.UserId GROUP BY v.PostId HAVING SUM(CASE WHEN u.Reputation < 200 THEN 1 ELSE 0 END) > 0 AND SUM(CASE WHEN u.Reputation >= 200 THEN 1 ELSE 0 END) = 0
|
WITH "u" AS (SELECT "Id", "Reputation" FROM "Users") SELECT "v"."PostId" AS "post_link" FROM "Votes" "v" JOIN "u" "u" ON "u"."Id" = "v"."UserId" GROUP BY "v"."PostId" HAVING SUM(CASE WHEN "u"."Reputation" < 200 THEN 1 ELSE 0 END) > 0 AND SUM(CASE WHEN "u"."Reputation" >= 200 THEN 1 ELSE 0 END) = 0
| 0.291016 |
CREATE TABLE table_204_613 (id NUMBER, "title" CLOB, "year" NUMBER, "peak chart positions\ us" NUMBER, "peak chart positions\ us\ r&b" NUMBER, "peak chart positions\ us\ rap" NUMBER, "album" CLOB)
|
what is the number of singles featured in this table ?
|
SELECT COUNT("title") FROM table_204_613
|
SELECT COUNT("title") FROM "table_204_613"
| 0.041016 |
CREATE TABLE clients (client_id NUMBER, address_id NUMBER, customer_email_address CLOB, customer_name CLOB, customer_phone CLOB, other_details CLOB)
CREATE TABLE drama_workshop_groups (workshop_group_id NUMBER, address_id NUMBER, currency_code CLOB, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE products (product_id CLOB, product_name CLOB, product_price NUMBER, product_description CLOB, other_product_service_details CLOB)
CREATE TABLE bookings_services (order_id NUMBER, product_id NUMBER)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity CLOB, other_item_details CLOB)
CREATE TABLE stores (store_id CLOB, address_id NUMBER, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE ref_service_types (service_type_code CLOB, parent_service_type_code CLOB, service_type_description CLOB)
CREATE TABLE customers (customer_id CLOB, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE addresses (address_id CLOB, line_1 CLOB, line_2 CLOB, city_town CLOB, state_county CLOB, other_details CLOB)
CREATE TABLE ref_payment_methods (payment_method_code CLOB, payment_method_description CLOB)
CREATE TABLE invoices (invoice_id NUMBER, order_id NUMBER, payment_method_code CLOB, product_id NUMBER, order_quantity CLOB, other_item_details CLOB, order_item_id NUMBER)
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, workshop_group_id NUMBER, product_description CLOB, product_name CLOB, product_price NUMBER, other_product_service_details CLOB)
CREATE TABLE bookings (booking_id NUMBER, customer_id NUMBER, workshop_group_id CLOB, status_code CLOB, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE performers_in_bookings (order_id NUMBER, performer_id NUMBER)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE marketing_regions (marketing_region_code CLOB, marketing_region_name CLOB, marketing_region_descriptrion CLOB, other_details CLOB)
CREATE TABLE performers (performer_id NUMBER, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE invoice_items (invoice_item_id NUMBER, invoice_id NUMBER, order_id NUMBER, order_item_id NUMBER, product_id NUMBER, order_quantity NUMBER, other_item_details CLOB)
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What are the names of the drama workshop groups with address in Feliciaberg city?
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SELECT T2.store_name FROM addresses AS T1 JOIN drama_workshop_groups AS T2 ON T1.address_id = T2.address_id WHERE T1.city_town = "Feliciaberg"
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SELECT "T2"."store_name" FROM "addresses" "T1" JOIN "drama_workshop_groups" "T2" ON "T1"."address_id" = "T2"."address_id" WHERE "Feliciaberg" = "T1"."city_town"
| 0.15625 |
CREATE TABLE table_6276 ("Tournament" CLOB, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
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Which Events is the highest one that has a Top-5 larger than 5, and a Top-10 larger than 28?
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SELECT MAX("Events") FROM table_6276 WHERE "Top-5" > '5' AND "Top-10" > '28'
|
SELECT MAX("Events") FROM "table_6276" WHERE "Top-10" > '28' AND "Top-5" > '5'
| 0.076172 |
CREATE TABLE table_name_78 (fatalities VARCHAR2, time VARCHAR2)
|
What number of Fatalties is associated with the Time of 12:38:46?
|
SELECT fatalities FROM table_name_78 WHERE time = "12:38:46"
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SELECT "fatalities" FROM "table_name_78" WHERE "12:38:46" = "time"
| 0.064453 |
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
|
Show all origins and the number of flights from each origin by a bar chart, could you list in ascending by the Y?
|
SELECT origin, COUNT(*) FROM flight GROUP BY origin ORDER BY COUNT(*)
|
SELECT "origin", COUNT(*) FROM "flight" GROUP BY "origin" ORDER BY COUNT(*)
| 0.073242 |
CREATE TABLE table_23755 ("Condition" CLOB, "Prothrombin time" CLOB, "Partial thromboplastin time" CLOB, "Bleeding time" CLOB, "Platelet count" CLOB)
|
In what conditions are both the platelet count and prothrombin time unaffected?
|
SELECT "Condition" FROM table_23755 WHERE "Platelet count" = 'Unaffected' AND "Prothrombin time" = 'Unaffected'
|
SELECT "Condition" FROM "table_23755" WHERE "Platelet count" = 'Unaffected' AND "Prothrombin time" = 'Unaffected'
| 0.110352 |
CREATE TABLE table_name_25 (constructor VARCHAR2, laps VARCHAR2, time_retired VARCHAR2)
|
Who built the car that went 53 laps with a Time/Retired of 1:17:09.672?
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SELECT constructor FROM table_name_25 WHERE laps = 53 AND time_retired = "1:17:09.672"
|
SELECT "constructor" FROM "table_name_25" WHERE "1:17:09.672" = "time_retired" AND "laps" = 53
| 0.091797 |
CREATE TABLE table_63397 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
|
What the round with the time 1:15?
|
SELECT AVG("Round") FROM table_63397 WHERE "Time" = '1:15'
|
SELECT AVG("Round") FROM "table_63397" WHERE "Time" = '1:15'
| 0.058594 |
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
|
How much reputation would we get in commie SO?.
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SELECT SUM(Reputation) / COUNT(*) AS Average_rep FROM Users WHERE Reputation > 100
|
SELECT SUM("Reputation") / NULLIF(COUNT(*), 0) AS "Average_rep" FROM "Users" WHERE "Reputation" > 100
| 0.098633 |
CREATE TABLE table_68243 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
|
When the attendance was 24,406 who lost?
|
SELECT "Loss" FROM table_68243 WHERE "Attendance" = '24,406'
|
SELECT "Loss" FROM "table_68243" WHERE "Attendance" = '24,406'
| 0.060547 |
CREATE TABLE table_21550 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
|
What team was the game on November 21 played against?
|
SELECT "Team" FROM table_21550 WHERE "Date" = 'November 21'
|
SELECT "Team" FROM "table_21550" WHERE "Date" = 'November 21'
| 0.05957 |
CREATE TABLE table_46221 ("Model Name" CLOB, "Engine" CLOB, "Top Speed" CLOB, "No. of Gears" FLOAT, "Electrics" CLOB)
|
Which Top Speed has a Model Name of d14/4 supreme d14/4 sports & bushman?
|
SELECT "Top Speed" FROM table_46221 WHERE "Model Name" = 'd14/4 supreme d14/4 sports & bushman'
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SELECT "Top Speed" FROM "table_46221" WHERE "Model Name" = 'd14/4 supreme d14/4 sports & bushman'
| 0.094727 |
CREATE TABLE table_name_77 (home_team VARCHAR2, venue VARCHAR2)
|
Who was the home team for the game played at Lake Oval?
|
SELECT home_team FROM table_name_77 WHERE venue = "lake oval"
|
SELECT "home_team" FROM "table_name_77" WHERE "lake oval" = "venue"
| 0.06543 |
CREATE TABLE table_73572 ("Rank by average" FLOAT, "Place" FLOAT, "Couple" CLOB, "Number Of Dances" FLOAT, "Total Points Earned" FLOAT, "Average" CLOB)
|
What is the number of dances total number if the average is 22.3?
|
SELECT COUNT("Number Of Dances") FROM table_73572 WHERE "Average" = '22.3'
|
SELECT COUNT("Number Of Dances") FROM "table_73572" WHERE "Average" = '22.3'
| 0.074219 |
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
|
Return the names and ids of customers who have TN in their address Show bar chart, show by the X in asc.
|
SELECT customer_name, customer_id FROM Customers WHERE customer_address LIKE "%TN%" ORDER BY customer_name
|
SELECT "customer_name", "customer_id" FROM "Customers" WHERE "customer_address" LIKE "%TN%" ORDER BY "customer_name"
| 0.113281 |
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
|
Find the physicians who are trained in a procedure that costs more than 5000, and count them by a pie chart
|
SELECT T1.Name, COUNT(T1.Name) FROM Physician AS T1 JOIN Trained_In AS T2 ON T1.EmployeeID = T2.Physician JOIN Procedures AS T3 ON T3.Code = T2.Treatment WHERE T3.Cost > 5000 GROUP BY T1.Name
|
SELECT "T1"."Name", COUNT("T1"."Name") FROM "Physician" "T1" JOIN "Trained_In" "T2" ON "T1"."EmployeeID" = "T2"."Physician" JOIN "Procedures" "T3" ON "T2"."Treatment" = "T3"."Code" AND "T3"."Cost" > 5000 GROUP BY "T1"."Name"
| 0.21875 |
CREATE TABLE table_57736 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
|
Which away team had a venue of mcg?
|
SELECT "Away team" FROM table_57736 WHERE "Venue" = 'mcg'
|
SELECT "Away team" FROM "table_57736" WHERE "Venue" = 'mcg'
| 0.057617 |
CREATE TABLE table_36677 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
Which Gold has a Rank larger than 6, and a Nation of netherlands, and a Bronze smaller than 0?
|
SELECT SUM("Gold") FROM table_36677 WHERE "Rank" > '6' AND "Nation" = 'netherlands' AND "Bronze" < '0'
|
SELECT SUM("Gold") FROM "table_36677" WHERE "Bronze" < '0' AND "Nation" = 'netherlands' AND "Rank" > '6'
| 0.101563 |
CREATE TABLE table_29039942_1 (title VARCHAR2, director VARCHAR2)
|
What episode did tomoyuki furumaya
|
SELECT title FROM table_29039942_1 WHERE director = "Tomoyuki Furumaya"
|
SELECT "title" FROM "table_29039942_1" WHERE "Tomoyuki Furumaya" = "director"
| 0.075195 |
CREATE TABLE table_72681 ("Player" CLOB, "G" FLOAT, "Tackles" FLOAT, "Solo" FLOAT, "Assts" FLOAT, "Sacks" CLOB, "Int" FLOAT, "Int yards" FLOAT, "Int avg." CLOB, "Int TD" FLOAT, "Fum. rec" FLOAT, "Fum. rec TD" FLOAT)
|
Name the least amount of int yards
|
SELECT MIN("Int yards") FROM table_72681
|
SELECT MIN("Int yards") FROM "table_72681"
| 0.041016 |
CREATE TABLE table_2409041_2 (original_air_date VARCHAR2, no_in_series VARCHAR2)
|
When 21 is the number in series what is the air date?
|
SELECT original_air_date FROM table_2409041_2 WHERE no_in_series = 21
|
SELECT "original_air_date" FROM "table_2409041_2" WHERE "no_in_series" = 21
| 0.073242 |
CREATE TABLE table_14107 ("Driver" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT, "Points" FLOAT)
|
What is the sum of the grid of driver ryan hunter-reay, who has more than 24 points?
|
SELECT SUM("Grid") FROM table_14107 WHERE "Driver" = 'ryan hunter-reay' AND "Points" > '24'
|
SELECT SUM("Grid") FROM "table_14107" WHERE "Driver" = 'ryan hunter-reay' AND "Points" > '24'
| 0.09082 |
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, service_name CLOB, service_descriptio CLOB)
CREATE TABLE party_services (booking_id NUMBER, customer_id NUMBER, service_id NUMBER, service_datetime TIME, booking_made_date TIME)
CREATE TABLE forms (form_id NUMBER, form_type_code CLOB, service_id NUMBER, form_number CLOB, form_name CLOB, form_description CLOB)
CREATE TABLE organizations (organization_id NUMBER, date_formed TIME, organization_name CLOB, uk_vat_number CLOB)
CREATE TABLE party_forms (party_id NUMBER, form_id NUMBER, date_completion_started TIME, form_status_code CLOB, date_fully_completed TIME)
CREATE TABLE organization_contact_individuals (individual_id NUMBER, organization_id NUMBER, date_contact_from TIME, date_contact_to TIME)
CREATE TABLE individuals (individual_id NUMBER, individual_first_name CLOB, individual_middle_name CLOB, inidividual_phone CLOB, individual_email CLOB, individual_address CLOB, individual_last_name CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, town_city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE party_addresses (party_id NUMBER, address_id NUMBER, date_address_from TIME, address_type_code CLOB, date_address_to TIME)
CREATE TABLE parties (party_id NUMBER, payment_method_code CLOB, party_phone CLOB, party_email CLOB)
|
What is the payment method code and party phone of the party with the email '[email protected]'?
|
SELECT payment_method_code, party_phone FROM parties WHERE party_email = "[email protected]"
|
SELECT "payment_method_code", "party_phone" FROM "parties" WHERE "[email protected]" = "party_email"
| 0.100586 |
CREATE TABLE table_204_371 (id NUMBER, "team" CLOB, "competition" CLOB, "category" CLOB, "appearances\ start" NUMBER, "appearances\ sub" NUMBER, "goals" NUMBER, "team record" CLOB)
|
name the earliest competition to have a sub .
|
SELECT "competition" FROM table_204_371 WHERE "appearances\nsub" > 0 ORDER BY id LIMIT 1
|
SELECT "competition" FROM "table_204_371" WHERE "appearances\nsub" > 0 ORDER BY "id" FETCH FIRST 1 ROWS ONLY
| 0.105469 |
CREATE TABLE table_name_52 (win__percentage NUMBER, lost VARCHAR2)
|
Lost of 18 had what sum of win %?
|
SELECT SUM(win__percentage) FROM table_name_52 WHERE lost = 18
|
SELECT SUM("win__percentage") FROM "table_name_52" WHERE "lost" = 18
| 0.066406 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
|
Show all the activity names and the number of faculty involved in each activity in a bar chart.
|
SELECT activity_name, COUNT(*) FROM Activity AS T1 JOIN Faculty_Participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid
|
SELECT "activity_name", COUNT(*) FROM "Activity" "T1" JOIN "Faculty_Participates_in" "T2" ON "T1"."actid" = "T2"."actid" GROUP BY "T1"."actid"
| 0.138672 |
CREATE TABLE table_70318 ("Date" CLOB, "Opponent" CLOB, "Home/Away" CLOB, "Field" CLOB, "Result" CLOB)
|
What is the result of games played at frontier field
|
SELECT "Result" FROM table_70318 WHERE "Field" = 'frontier field'
|
SELECT "Result" FROM "table_70318" WHERE "Field" = 'frontier field'
| 0.06543 |
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
|
Show me the average of capacity by openning year in a histogram, and order in ascending by the the average of capacity.
|
SELECT Openning_year, AVG(Capacity) FROM cinema GROUP BY Openning_year ORDER BY AVG(Capacity)
|
SELECT "Openning_year", AVG("Capacity") FROM "cinema" GROUP BY "Openning_year" ORDER BY AVG("Capacity")
| 0.100586 |
CREATE TABLE table_11754 ("Block A" CLOB, "Gran Hamada" CLOB, "Koji Kanemoto" CLOB, "Jushin Liger" CLOB, "Masaaki Mochizuki" CLOB, "Super Shocker" CLOB, "Tatsuhito Takaiwa" CLOB)
|
Which Tatsuhito Takaiwa has a Koji Kanemoto of liger (20:29)?
|
SELECT "Tatsuhito Takaiwa" FROM table_11754 WHERE "Koji Kanemoto" = 'liger (20:29)'
|
SELECT "Tatsuhito Takaiwa" FROM "table_11754" WHERE "Koji Kanemoto" = 'liger (20:29)'
| 0.083008 |
CREATE TABLE table_17288869_7 (date VARCHAR2, high_rebounds VARCHAR2)
|
On what day did Dirk Nowitzki (14) have a high rebound?
|
SELECT date FROM table_17288869_7 WHERE high_rebounds = "Dirk Nowitzki (14)"
|
SELECT "date" FROM "table_17288869_7" WHERE "Dirk Nowitzki (14)" = "high_rebounds"
| 0.080078 |
CREATE TABLE table_name_75 (constructor VARCHAR2, date VARCHAR2)
|
Name the constructor for 10 august
|
SELECT constructor FROM table_name_75 WHERE date = "10 august"
|
SELECT "constructor" FROM "table_name_75" WHERE "10 august" = "date"
| 0.066406 |
CREATE TABLE table_17268 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Musical guest and song" CLOB, "Original air date" CLOB, "Production code" CLOB)
|
How many episodes originally aired on August 31, 1995?
|
SELECT COUNT("Title") FROM table_17268 WHERE "Original air date" = 'August 31, 1995'
|
SELECT COUNT("Title") FROM "table_17268" WHERE "Original air date" = 'August 31, 1995'
| 0.083984 |
CREATE TABLE table_2169 ("Map number" FLOAT, "English name" CLOB, "Finnish name" CLOB, "Swedish name" CLOB, "Residence city" CLOB, "Dates of existence" CLOB, "Notes" CLOB)
|
What is every Finnish name for the English name of Province of Viborg and Nyslott?
|
SELECT "Finnish name" FROM table_2169 WHERE "English name" = 'Province of Viborg and Nyslott'
|
SELECT "Finnish name" FROM "table_2169" WHERE "English name" = 'Province of Viborg and Nyslott'
| 0.092773 |
CREATE TABLE table_200_35 (id NUMBER, "party" CLOB, "active voters" NUMBER, "inactive voters" NUMBER, "total voters" NUMBER, "percentage" CLOB)
|
as of october 25 , 2005 , how many voters are either democratic or republican ?
|
SELECT SUM("total voters") FROM table_200_35 WHERE "party" IN ('democratic', 'republican')
|
SELECT SUM("total voters") FROM "table_200_35" WHERE "party" IN ('democratic', 'republican')
| 0.089844 |
CREATE TABLE table_name_9 (song VARCHAR2, artist VARCHAR2)
|
What song was made by the sex pistols?
|
SELECT song FROM table_name_9 WHERE artist = "sex pistols"
|
SELECT "song" FROM "table_name_9" WHERE "artist" = "sex pistols"
| 0.0625 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
|
Show all the faculty ranks and the number of students advised by each rank in a bar chart, display in descending by the x-axis.
|
SELECT Rank, COUNT(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.Advisor GROUP BY T1.Rank ORDER BY Rank DESC
|
SELECT "Rank", COUNT(*) FROM "Faculty" "T1" JOIN "Student" "T2" ON "T1"."FacID" = "T2"."Advisor" GROUP BY "T1"."Rank" ORDER BY "Rank" DESC
| 0.134766 |
CREATE TABLE table_name_8 (traffic_direction VARCHAR2, street VARCHAR2, west VARCHAR2, _number_of_lanes VARCHAR2)
|
What is the traffic direction of 64th street with 2nd avenue to the west and 1 lane?
|
SELECT traffic_direction FROM table_name_8 WHERE west = "2nd avenue" AND _number_of_lanes = "1" AND street = "64th street"
|
SELECT "traffic_direction" FROM "table_name_8" WHERE "1" = "_number_of_lanes" AND "2nd avenue" = "west" AND "64th street" = "street"
| 0.128906 |
CREATE TABLE table_dev_34 ("id" NUMBER, "gender" CLOB, "heart_disease" BOOLEAN, "body_weight" FLOAT, "hematocrit_hct" FLOAT, "fasting_blood_glucose_fbg" FLOAT, "hyperlipidemia" BOOLEAN, "systemic_illness" BOOLEAN, "angina" BOOLEAN, "serum_ldl" NUMBER, "clinically_significant_atherosclerotic_vascular_disease" BOOLEAN, "impaired_glucose_tolerance" BOOLEAN, "fbg" NUMBER, "post_prandial_pp" NUMBER, "significant_nephropathy" BOOLEAN, "serum_tg" NUMBER, "proteinuria" NUMBER, "body_mass_index_bmi" FLOAT, "plasma_creatinine" FLOAT, "cfrd" BOOLEAN, "NOUSE" FLOAT)
|
impaired glucose tolerance or cfrd defined as fasting blood glucose ( fbg ) and post _ prandial blood glucose ( pp ) equal to: fbg < 126 and pp 151 _ 200 , or fbg < 126 and pp > 200, or fbg > 126 and pp > 200.
|
SELECT * FROM table_dev_34 WHERE impaired_glucose_tolerance = 1 OR cfrd = 1 OR (fasting_blood_glucose_fbg < 126 AND post_prandial_pp >= 151 AND post_prandial_pp <= 200) OR (fasting_blood_glucose_fbg < 126 AND post_prandial_pp > 200) OR (fbg > 126 AND post_prandial_pp > 200)
|
SELECT * FROM "table_dev_34" WHERE "cfrd" = 1 OR ("fasting_blood_glucose_fbg" < 126 AND "post_prandial_pp" <= 200 AND "post_prandial_pp" >= 151) OR ("fasting_blood_glucose_fbg" < 126 AND "post_prandial_pp" > 200) OR ("fbg" > 126 AND "post_prandial_pp" > 200) OR "impaired_glucose_tolerance" = 1
| 0.287109 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the average of department_id over the job_id , and group by attribute job_id by a bar chart, and could you order in descending by the x-axis?
|
SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID DESC
|
SELECT "JOB_ID", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC
| 0.246094 |
CREATE TABLE table_name_32 (club VARCHAR2, number_of_seasons_in_liga_mx VARCHAR2, number_of_seasons_in_top_division VARCHAR2)
|
Which club has fewer than 40 seasons in Liga MX and 65 seasons in the top division?
|
SELECT club FROM table_name_32 WHERE number_of_seasons_in_liga_mx < 40 AND number_of_seasons_in_top_division = 65
|
SELECT "club" FROM "table_name_32" WHERE "number_of_seasons_in_liga_mx" < 40 AND "number_of_seasons_in_top_division" = 65
| 0.118164 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
|
For each city, list their names in decreasing order by their highest station latitude.
|
SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC
|
SELECT "city" FROM "station" GROUP BY "city" ORDER BY MAX("lat") DESC
| 0.067383 |
CREATE TABLE table_25346763_1 (capacity VARCHAR2, year_opened VARCHAR2)
|
What is the capacity for a facility opened in 1956?
|
SELECT COUNT(capacity) FROM table_25346763_1 WHERE year_opened = "1956"
|
SELECT COUNT("capacity") FROM "table_25346763_1" WHERE "1956" = "year_opened"
| 0.075195 |
CREATE TABLE table_8638 ("Driver" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT, "Points" FLOAT)
|
What was the highest grid for Patrick Carpentier?
|
SELECT MAX("Grid") FROM table_8638 WHERE "Driver" = 'patrick carpentier'
|
SELECT MAX("Grid") FROM "table_8638" WHERE "Driver" = 'patrick carpentier'
| 0.072266 |
CREATE TABLE table_name_54 (result VARCHAR2, date VARCHAR2)
|
What is Result, when Date is 'April 3'?
|
SELECT result FROM table_name_54 WHERE date = "april 3"
|
SELECT "result" FROM "table_name_54" WHERE "april 3" = "date"
| 0.05957 |
CREATE TABLE table_name_50 (round NUMBER, position VARCHAR2, player VARCHAR2)
|
What is the lowest Round, when Position is Linebacker, and when Player is Thomas Henderson?
|
SELECT MIN(round) FROM table_name_50 WHERE position = "linebacker" AND player = "thomas henderson"
|
SELECT MIN("round") FROM "table_name_50" WHERE "linebacker" = "position" AND "player" = "thomas henderson"
| 0.103516 |
CREATE TABLE table_1480455_1 (area__km_2__ VARCHAR2, population_density___km_2__ VARCHAR2)
|
What is the area (km 2) where the population density (/mk2) is 84.3?
|
SELECT area__km_2__ FROM table_1480455_1 WHERE population_density___km_2__ = "84.3"
|
SELECT "area__km_2__" FROM "table_1480455_1" WHERE "84.3" = "population_density___km_2__"
| 0.086914 |
CREATE TABLE table_43982 ("Nat." CLOB, "Name" CLOB, "Moving to" CLOB, "Type" CLOB, "Transfer window" CLOB, "Transfer fee" CLOB)
|
What is the name for the end of contract because they're moving to Falkirk?
|
SELECT "Name" FROM table_43982 WHERE "Type" = 'end of contract' AND "Moving to" = 'falkirk'
|
SELECT "Name" FROM "table_43982" WHERE "Moving to" = 'falkirk' AND "Type" = 'end of contract'
| 0.09082 |
CREATE TABLE table_32308 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
|
How many people were in the crowd when the away team scored 9.12 (66)?
|
SELECT "Crowd" FROM table_32308 WHERE "Away team score" = '9.12 (66)'
|
SELECT "Crowd" FROM "table_32308" WHERE "Away team score" = '9.12 (66)'
| 0.069336 |
CREATE TABLE table_203_163 (id NUMBER, "year" NUMBER, "total" NUMBER, "serbs" CLOB, "hungarians" CLOB, "germans" CLOB, "romanians" CLOB, "slovaks" CLOB)
|
what was the difference between the number of germans living in the serbian banat in 1931 and 1948 ?
|
SELECT (SELECT "germans" FROM table_203_163 WHERE "year" = 1931) - (SELECT "germans" FROM table_203_163 WHERE "year" = 1948)
|
SELECT (SELECT "germans" FROM "table_203_163" WHERE "year" = 1931) - (SELECT "germans" FROM "table_203_163" WHERE "year" = 1948)
| 0.125 |
CREATE TABLE table_25774493_3 (blocks_per_game VARCHAR2, field_goal_percentage VARCHAR2)
|
What were the blocks per game in the selection where the field goal percentage was .594 (2nd)?
|
SELECT blocks_per_game FROM table_25774493_3 WHERE field_goal_percentage = ".594 (2nd)"
|
SELECT "blocks_per_game" FROM "table_25774493_3" WHERE ".594 (2nd)" = "field_goal_percentage"
| 0.09082 |
CREATE TABLE table_name_27 (score VARCHAR2, place VARCHAR2)
|
Which score has t3 as the place?
|
SELECT score FROM table_name_27 WHERE place = "t3"
|
SELECT "score" FROM "table_name_27" WHERE "place" = "t3"
| 0.054688 |
CREATE TABLE table_name_13 (week_10_nov_5 VARCHAR2, week_9_oct_29 VARCHAR2)
|
What is the week 10 result where the week 9 result was Dropped: Maryland South Carolina?
|
SELECT week_10_nov_5 FROM table_name_13 WHERE week_9_oct_29 = "dropped: maryland south carolina"
|
SELECT "week_10_nov_5" FROM "table_name_13" WHERE "dropped: maryland south carolina" = "week_9_oct_29"
| 0.099609 |
CREATE TABLE review (u_id VARCHAR2)
CREATE TABLE useracct (name VARCHAR2, u_id VARCHAR2)
|
Find the name of the user who gives the most reviews.
|
SELECT T1.name FROM useracct AS T1 JOIN review AS T2 ON T1.u_id = T2.u_id GROUP BY T2.u_id ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "T1"."name" FROM "useracct" "T1" JOIN "review" "T2" ON "T1"."u_id" = "T2"."u_id" GROUP BY "T2"."u_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY
| 0.151367 |
CREATE TABLE table_name_42 (score VARCHAR2, visitor VARCHAR2)
|
What was the score when Pittsburgh was the visitor?
|
SELECT score FROM table_name_42 WHERE visitor = "pittsburgh"
|
SELECT "score" FROM "table_name_42" WHERE "pittsburgh" = "visitor"
| 0.064453 |
CREATE TABLE table_name_32 (famous_for VARCHAR2, celebrity VARCHAR2)
|
What was Dom Joly famous for?
|
SELECT famous_for FROM table_name_32 WHERE celebrity = "dom joly"
|
SELECT "famous_for" FROM "table_name_32" WHERE "celebrity" = "dom joly"
| 0.069336 |
CREATE TABLE products (product_id NUMBER, color_code CLOB, product_category_code CLOB, product_name CLOB, typical_buying_price CLOB, typical_selling_price CLOB, product_description CLOB, other_product_details CLOB)
CREATE TABLE ref_characteristic_types (characteristic_type_code CLOB, characteristic_type_description CLOB)
CREATE TABLE product_characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value CLOB)
CREATE TABLE ref_colors (color_code CLOB, color_description CLOB)
CREATE TABLE ref_product_categories (product_category_code CLOB, product_category_description CLOB, unit_of_measure CLOB)
CREATE TABLE characteristics (characteristic_id NUMBER, characteristic_type_code CLOB, characteristic_data_type CLOB, characteristic_name CLOB, other_characteristic_details CLOB)
|
What are the different product names for products that have the 'warm' characteristic:?
|
SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm"
|
SELECT DISTINCT "t1"."product_name" FROM "products" "t1" JOIN "product_characteristics" "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "characteristics" "t3" ON "t2"."characteristic_id" = "t3"."characteristic_id" AND "t3"."characteristic_name" = "warm"
| 0.25 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
|
all one way flights between BOSTON and PHILADELPHIA
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO'
| 0.651367 |
CREATE TABLE table_name_16 (opponent VARCHAR2, date VARCHAR2)
|
Who was the opponent at the game held on December 24, 2005?
|
SELECT opponent FROM table_name_16 WHERE date = "december 24, 2005"
|
SELECT "opponent" FROM "table_name_16" WHERE "date" = "december 24, 2005"
| 0.071289 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
|
Users with X Rep as Percentage of All Users.
|
SELECT COUNT(u.Id) AS "Total Users", COUNT(CASE WHEN u.Reputation < 2 THEN 1 ELSE NULL END) / CAST(COUNT(u.Id) AS FLOAT) AS "<=1 Rep", COUNT(CASE WHEN u.Reputation > 1 THEN 1 ELSE NULL END) / CAST(COUNT(u.Id) AS FLOAT) AS ">1 Rep" FROM Users AS u
|
SELECT COUNT("u"."Id") AS "Total Users", COUNT(CASE WHEN "u"."Reputation" < 2 THEN 1 ELSE NULL END) / NULLIF(CAST(COUNT("u"."Id") AS FLOAT), 0) AS "<=1 Rep", COUNT(CASE WHEN "u"."Reputation" > 1 THEN 1 ELSE NULL END) / NULLIF(CAST(COUNT("u"."Id") AS FLOAT), 0) AS ">1 Rep" FROM "Users" "u"
| 0.282227 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
|
how many days have elapsed since patient 027-165214 was admitted to the hospital currently?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.hospitaladmittime)) FROM patient WHERE patient.uniquepid = '027-165214' AND patient.hospitaldischargetime IS NULL
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "patient"."hospitaladmittime")) FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '027-165214'
| 0.19043 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
|
specify the total number of patients who had icd9 code 4105
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "4105"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4105" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id"
| 0.171875 |
CREATE TABLE table_62105 ("Mission" CLOB, "Resident Country" CLOB, "Local Location" CLOB, "Local Mission" CLOB, "Non-Resident Head of Mission" CLOB, "Local Position" CLOB)
|
What is Local Mission, when Mission is 'Mauritius'?
|
SELECT "Local Mission" FROM table_62105 WHERE "Mission" = 'mauritius'
|
SELECT "Local Mission" FROM "table_62105" WHERE "Mission" = 'mauritius'
| 0.069336 |
CREATE TABLE table_name_98 (winning__percentage VARCHAR2, years VARCHAR2)
|
what is the winning % for the years 2006-11?
|
SELECT winning__percentage FROM table_name_98 WHERE years = "2006-11"
|
SELECT "winning__percentage" FROM "table_name_98" WHERE "2006-11" = "years"
| 0.073242 |
CREATE TABLE table_37337 ("Track" CLOB, "City" CLOB, "State" CLOB, "Opened" CLOB, "Major Series" CLOB, "Turns" CLOB)
|
What is the State with the trans-am Major Series in Grand Rapids?
|
SELECT "State" FROM table_37337 WHERE "Major Series" = 'trans-am' AND "City" = 'grand rapids'
|
SELECT "State" FROM "table_37337" WHERE "City" = 'grand rapids' AND "Major Series" = 'trans-am'
| 0.092773 |
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
|
Number of >=3 score posts per month. Android questions per day in 2011
|
SELECT YEAR(CreationDate) AS Year, MONTH(CreationDate) AS Month, COUNT(CreationDate) AS Count FROM Posts WHERE Score >= 3 GROUP BY MONTH(CreationDate), YEAR(CreationDate) ORDER BY YEAR(CreationDate), MONTH(CreationDate)
|
SELECT YEAR("CreationDate") AS "Year", MONTH("CreationDate") AS "Month", COUNT("CreationDate") AS "Count" FROM "Posts" WHERE "Score" >= 3 GROUP BY MONTH("CreationDate"), YEAR("CreationDate") ORDER BY YEAR("CreationDate"), MONTH("CreationDate")
| 0.237305 |
CREATE TABLE school (School_name VARCHAR2, Mascot VARCHAR2, IHSAA_Football_Class VARCHAR2, school_id VARCHAR2)
CREATE TABLE budget (school_id VARCHAR2, total_budget_percent_invested VARCHAR2, total_budget_percent_budgeted VARCHAR2)
|
List the name, IHSAA Football Class, and Mascot of the schools that have more than 6000 of budgeted amount or were founded before 2003, in the order of percent of total invested budget and total budgeted budget.
|
SELECT T1.School_name, T1.Mascot, T1.IHSAA_Football_Class FROM school AS T1 JOIN budget AS T2 ON T1.school_id = T2.school_id WHERE Budgeted > 6000 OR YEAR < 2003 ORDER BY T2.total_budget_percent_invested, T2.total_budget_percent_budgeted
|
SELECT "T1"."School_name", "T1"."Mascot", "T1"."IHSAA_Football_Class" FROM "school" "T1" JOIN "budget" "T2" ON "T1"."school_id" = "T2"."school_id" WHERE "Budgeted" > 6000 OR "YEAR" < 2003 ORDER BY "T2"."total_budget_percent_invested", "T2"."total_budget_percent_budgeted"
| 0.264648 |
CREATE TABLE table_name_43 (rank NUMBER, nation VARCHAR2)
|
What is the lowest Rank with a Nation that is east germany?
|
SELECT MIN(rank) FROM table_name_43 WHERE nation = "east germany"
|
SELECT MIN("rank") FROM "table_name_43" WHERE "east germany" = "nation"
| 0.069336 |
CREATE TABLE table_35428 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
|
What is the highest round of the player with an overall of 152?
|
SELECT MAX("Round") FROM table_35428 WHERE "Overall" = '152'
|
SELECT MAX("Round") FROM "table_35428" WHERE "Overall" = '152'
| 0.060547 |
CREATE TABLE table_16432543_1 (established VARCHAR2, institution VARCHAR2)
|
What is the year Rowan University was established
|
SELECT established FROM table_16432543_1 WHERE institution = "Rowan University"
|
SELECT "established" FROM "table_16432543_1" WHERE "Rowan University" = "institution"
| 0.083008 |
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
|
show me the flights from all airports to DAL
|
SELECT DISTINCT flight.flight_id FROM airport, airport_service, city, flight WHERE airport.airport_code = 'DAL' AND city.city_code = airport_service.city_code AND flight.from_airport = airport_service.airport_code AND flight.to_airport = airport.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport" JOIN "flight" ON "airport"."airport_code" = "flight"."to_airport" JOIN "airport_service" ON "airport_service"."airport_code" = "flight"."from_airport" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" WHERE "airport"."airport_code" = 'DAL'
| 0.299805 |
CREATE TABLE table_16186152_1 (counties_carries NUMBER)
|
What is the highest number of Counties carries?
|
SELECT MAX(counties_carries) FROM table_16186152_1
|
SELECT MAX("counties_carries") FROM "table_16186152_1"
| 0.052734 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
what are the four most common specimen tests that happened until 4 years ago?
|
SELECT t1.spec_type_desc FROM (SELECT microbiologyevents.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microbiologyevents WHERE DATETIME(microbiologyevents.charttime) <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY microbiologyevents.spec_type_desc) AS t1 WHERE t1.c1 <= 4
|
WITH "t1" AS (SELECT "microbiologyevents"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "microbiologyevents" WHERE DATETIME("microbiologyevents"."charttime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "microbiologyevents"."spec_type_desc") SELECT "t1"."spec_type_desc" FROM "t1" "t1" WHERE "t1"."c1" <= 4
| 0.329102 |
CREATE TABLE exhibition_record (exhibition_id NUMBER, date CLOB, attendance NUMBER)
CREATE TABLE artist (artist_id NUMBER, name CLOB, country CLOB, year_join NUMBER, age NUMBER)
CREATE TABLE exhibition (exhibition_id NUMBER, year NUMBER, theme CLOB, artist_id NUMBER, ticket_price NUMBER)
|
Count the number of artists who are older than 46 and joined after 1990.
|
SELECT COUNT(*) FROM artist WHERE age > 46 AND year_join > 1990
|
SELECT COUNT(*) FROM "artist" WHERE "age" > 46 AND "year_join" > 1990
| 0.067383 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
|
tell me the cost for the dis of gallbladder nec diagnosis?
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dis of gallbladder nec'))
|
WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'dis of gallbladder nec' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL
| 0.395508 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
what number of patients who stayed in the hospital for more than 8 days were primarily diagnosed for fever presenting with conditions classified elsewhere?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "8" AND diagnoses.long_title = "Fever presenting with conditions classified elsewhere"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Fever presenting with conditions classified elsewhere" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "8" < "demographic"."days_stay"
| 0.254883 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
|
Top 1000 Users according to Reputation.
|
SELECT Users.Id AS "user_link", Users.Reputation AS UserReputation FROM Users GROUP BY Users.Id, DisplayName, Users.Reputation ORDER BY UserReputation DESC LIMIT 1000
|
SELECT "Users"."Id" AS "user_link", "Users"."Reputation" AS "UserReputation" FROM "Users" GROUP BY "Users"."Id", "DisplayName", "Users"."Reputation" ORDER BY "UserReputation" DESC FETCH FIRST 1000 ROWS ONLY
| 0.201172 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
|
how many patients were prescribed 1000 ml flex cont : sodium chloride 0.9 % iv soln in the same hospital encounter after receiving tissue biopsy - lung treatment?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'tissue biopsy - lung') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = '1000 ml flex cont : sodium chloride 0.9 % iv soln') AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
|
WITH "t2" AS (SELECT "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = '1000 ml flex cont : sodium chloride 0.9 % iv soln') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "t2"."drugstarttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'tissue biopsy - lung'
| 0.608398 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
|
TOP Haskell users in Oregon.
|
WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%oregon%' AND TagName = 'haskell' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 1000 ORDER BY UpVotes DESC
|
WITH "USER_BY_TAG" AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS "Rank", "u"."Id" AS "user_link", COUNT(*) AS "UpVotes" FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."ParentId" = "pt"."PostId" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" JOIN "Votes" "v" ON "VoteTypeId" = 2 AND "p"."Id" = "v"."PostId" WHERE "TagName" = 'haskell' AND LOWER("Location") LIKE '%oregon%' GROUP BY "u"."Id", "TagName") SELECT * FROM "USER_BY_TAG" WHERE "rank" <= 1000 ORDER BY "UpVotes" DESC
| 0.515625 |
CREATE TABLE table_12473 ("State" CLOB, "Type" CLOB, "Name" CLOB, "Title" CLOB, "Royal house" CLOB, "From" CLOB)
|
What state is Ding and has a royal house of Ji?
|
SELECT "State" FROM table_12473 WHERE "Royal house" = 'ji' AND "Name" = 'ding'
|
SELECT "State" FROM "table_12473" WHERE "Name" = 'ding' AND "Royal house" = 'ji'
| 0.078125 |
CREATE TABLE table_204_227 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "record" CLOB)
|
what is the average number of points scored by opponents in the five games lost this season ?
|
SELECT AVG("score") FROM table_204_227 WHERE "result" = 'loss'
|
SELECT AVG("score") FROM "table_204_227" WHERE "result" = 'loss'
| 0.0625 |
CREATE TABLE table_39674 ("Pos." FLOAT, "Car #" FLOAT, "Driver" CLOB, "Make" CLOB, "Team" CLOB)
|
Which Make has a Car # larger than 59?
|
SELECT "Make" FROM table_39674 WHERE "Car #" > '59'
|
SELECT "Make" FROM "table_39674" WHERE "Car #" > '59'
| 0.051758 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
|
what was the total amount of input of patient 11362 on the first intensive care unit visit?
|
SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 11362) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 11362 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY) SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE NOT "_u_1"."" IS NULL
| 0.527344 |
CREATE TABLE table_1341865_40 (district VARCHAR2, incumbent VARCHAR2)
|
What district is incumbent elmer j. holland from?
|
SELECT district FROM table_1341865_40 WHERE incumbent = "Elmer J. Holland"
|
SELECT "district" FROM "table_1341865_40" WHERE "Elmer J. Holland" = "incumbent"
| 0.078125 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
|
what was the name of the last specimen test that patient 031-1337 received in 05/2105?
|
SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-1337')) AND STRFTIME('%y-%m', microlab.culturetakentime) = '2105-05' ORDER BY microlab.culturetakentime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-1337' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") = '2105-05' ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY
| 0.617188 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
|
count the patients who were admitted to the hospital in a year before.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.172852 |
CREATE TABLE table_54993 ("Year" FLOAT, "English title" CLOB, "Korean title" CLOB, "Romanization" CLOB, "Role" CLOB, "Director" CLOB)
|
What is the English of chae soo-yeon?
|
SELECT "English title" FROM table_54993 WHERE "Role" = 'chae soo-yeon'
|
SELECT "English title" FROM "table_54993" WHERE "Role" = 'chae soo-yeon'
| 0.070313 |
CREATE TABLE table_17432028_1 (score VARCHAR2, record VARCHAR2)
|
Name the score for record of 2-5
|
SELECT score FROM table_17432028_1 WHERE record = "2-5"
|
SELECT "score" FROM "table_17432028_1" WHERE "2-5" = "record"
| 0.05957 |
CREATE TABLE table_name_23 (branding VARCHAR2, frequency VARCHAR2, callsign VARCHAR2)
|
What is the branding for the station with a frequency of 93.1mhz and a callsign of DWRX?
|
SELECT branding FROM table_name_23 WHERE frequency = "93.1mhz" AND callsign = "dwrx"
|
SELECT "branding" FROM "table_name_23" WHERE "93.1mhz" = "frequency" AND "callsign" = "dwrx"
| 0.089844 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
|
Post count distribution by users this year.
|
WITH user_contributions AS (SELECT COUNT(DISTINCT p.Id) AS Posts, OwnerUserId FROM Posts AS p WHERE CreationDate >= '2019-01-01' GROUP BY OwnerUserId HAVING COUNT(DISTINCT p.Id) > 200) SELECT COUNT(*) AS Users, Posts FROM user_contributions GROUP BY Posts ORDER BY Posts
|
WITH "user_contributions" AS (SELECT MAX(1) AS "_" FROM "Posts" "p" WHERE "CreationDate" >= '2019-01-01' GROUP BY "OwnerUserId" HAVING COUNT(DISTINCT "p"."Id") > 200) SELECT COUNT(*) AS "Users", "Posts" FROM "user_contributions" GROUP BY "Posts" ORDER BY "Posts"
| 0.255859 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
|
all right what do you have from OAKLAND to PHILADELPHIA on wednesday
|
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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'OAKLAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'OAKLAND' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA'
| 0.698242 |
CREATE TABLE table_32187 ("Year" FLOAT, "Date contested" CLOB, "Sport" CLOB, "Winning team" CLOB, "Losing team" CLOB, "Final score" CLOB)
|
What was the final score of a baseball game that happened before 2005?
|
SELECT "Final score" FROM table_32187 WHERE "Sport" = 'baseball' AND "Year" < '2005'
|
SELECT "Final score" FROM "table_32187" WHERE "Sport" = 'baseball' AND "Year" < '2005'
| 0.083984 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
|
How many patients were admitted to clinic referral (premature) before the year 2114?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.admityear < "2114"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2114" > "demographic"."admityear" AND "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location"
| 0.173828 |
CREATE TABLE table_30647 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "U.S. air date" CLOB, "Production code" FLOAT, "U.S. viewers ( million ) " CLOB)
|
What is the U.S air date when the title is 'calling'?
|
SELECT "U.S. air date" FROM table_30647 WHERE "Title" = 'Calling'
|
SELECT "U.S. air date" FROM "table_30647" WHERE "Title" = 'Calling'
| 0.06543 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the average of salary over the hire_date bin hire_date by weekday, and I want to order in asc by the Y-axis.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(SALARY)
|
SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("SALARY")
| 0.224609 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many patients younger than 24 years have transient ischemic attack primary disease?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "TRANSIENT ISCHEMIC ATTACK" AND demographic.age < "24"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "24" > "demographic"."age" AND "TRANSIENT ISCHEMIC ATTACK" = "demographic"."diagnosis"
| 0.157227 |
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
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show me flights on monday from PHILADELPHIA to BOSTON after 700
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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, date_day, days, flight WHERE ((date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time > 700 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
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SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 21 AND "date_day"."month_number" = 2 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" > 700 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON'
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