schema stringlengths 20 14.6k | query stringlengths 17 2.58k | question stringlengths 8 1.06k |
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<table0>[ClimateMitigationProjects] { <col0>[project_id]:[INT] <col1>[project_name]:[VARCHAR] <col2>[country]:[VARCHAR] <col3>[year]:[INT] } <table1>[CountrySIDS] { <col0>[country]:[VARCHAR] <col1>[sids]:[VARCHAR] } | SELECT sids, year, COUNT( * ) as num_projects FROM `<table0>` JOIN CountrySIDS ON `<table0>`.country = CountrySIDS.country GROUP BY sids, year; | Find the number of climate mitigation projects in Small Island Developing States (SIDS) for each year. |
<table0>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table1>[program_requirement] { <col0>[program_id]:[int] <col1>[category]:[varchar] <col2>[min_credit]:[int] <col3>[additional_req]:[varchar] } <table2>[area] { <col0>[course_id]:[int] } <table3>[comment_instructor] { <col0>[instru... | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'MEDEDUC' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spr... | Which upper-level MEDEDUC classes can I take this Spring-Summer ?
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<table0>[stadium] { <col0>[int]:[name] <col1>[text]:[Capacity] <col2>[int]:[City] <col3>[text]:[Country] <col4>[text]:[Opening_year] } <table1>[swimmer] { <col0>[int]:[name] <col1>[text]:[Nationality] <col2>[text]:[meter_100] <col3>[real]:[meter_200] <col4>[text]:[meter_300] <col5>[text]:[meter_400] <col6>[text]:[mete... | SELECT Nationality, SUM( ID ) FROM `<table1>` GROUP BY Nationality ORDER BY SUM( ID ) DESC | Return a bar chart about the distribution of Nationality and the sum of ID , and group by attribute Nationality, I want to sort from high to low by the y-axis. |
<table0>[CommunityHealthWorkers] { <col0>[WorkerID]:[INT] <col1>[LGBTQ]:[VARCHAR] <col2>[CulturalCompetencyScore]:[INT] } | SELECT CulturalCompetencyScoreQuartile, COUNT( * ) as Count FROM ( SELECT CulturalCompetencyScore, NTILE( 4 ) OVER ( ORDER BY `<col2>` ) as CulturalCompetencyScoreQuartile, `<col1>` FROM `<table0>` ) as Data WHERE `<col1>` = 'Yes' GROUP BY CulturalCompetencyScoreQuartile; | Identify the number of community health workers who identify as LGBTQ+, by cultural competency score quartile. |
<table0>[Maintenance_Contracts] { <col0>[maintenance_contract_id]:[INTEGER] <col1>[maintenance_contract_company_id]:[INTEGER] <col2>[contract_start_date]:[DATETIME] <col3>[contract_end_date]:[DATETIME] <col4>[other_contract_details]:[VARCHAR] } <table1>[Skills] { <col0>[skill_id]:[INTEGER] <col1>[skill_code]:[VARCHAR]... | SELECT staff_name, COUNT( * ) FROM `<table2>` AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id GROUP BY T1.staff_name ORDER BY COUNT( * ) | Return a bar chart on how many engineers did each staff contact? List both the contact staff name and number of engineers contacted, and could you order by the Y in asc please?
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<table0>[users] { <col0>[INT]:[name] <col1>[TEXT]:[country] <col2>[TEXT]:[followers] <col3>[INT]:[INSERT] } <table1>[posts] { <col0>[INT]:[user_id] <col1>[INT]:[likes] <col2>[INT]:[timestamp] <col3>[DATETIME]:[INSERT] } | SELECT SUM( `<table0>`.followers ) FROM `<table0>` JOIN posts ON `<table0>`.id = posts.user_id WHERE `<table0>`.country = 'Japan' AND posts.likes > 50 AND posts.timestamp >= DATE_SUB( NOW( ), INTERVAL 1 MONTH ); | What is the total number of followers for users from Japan, with more than 50 likes on their posts in the last month? |
<table0>[Donors] { <col0>[DonorID]:[int] <col1>[DonorName]:[varchar] <col2>[Country]:[varchar] } <table1>[Donations] { <col0>[DonationID]:[int] <col1>[DonorID]:[int] <col2>[DonationAmount]:[decimal] } | SELECT SUM( `<table1>`.DonationAmount ) FROM `<table1>` INNER JOIN Donors ON `<table1>`.DonorID = Donors.DonorID WHERE Donors.Country IN ( 'Mexico', 'Brazil' ); | What is the total amount donated by donors from Mexico and Brazil? |
<table0>[table_name_95] { <col0>[to_par]:[VARCHAR] <col1>[country]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "denmark" | Name the To par for denmark |
<table0>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } <table1>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] } | SELECT Headquarter, SUM( `<col2>` ) FROM `<table0>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter | For those records from the products and each product's manufacturer, find headquarter and the sum of price , and group by attribute headquarter, and visualize them by a bar chart. |
<table0>[jobs] { <col0>[JOB_ID]:[varchar] <col1>[JOB_TITLE]:[varchar] <col2>[MIN_SALARY]:[decimal] <col3>[MAX_SALARY]:[decimal] } <table1>[regions] { <col0>[REGION_ID]:[decimal] <col1>[REGION_NAME]:[varchar] } <table2>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar]... | SELECT FIRST_NAME, `<col10>` FROM `<table2>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table3>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY `<col10>` DESC | For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and department_id , and I want to list by the Y in descending.
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<table0>[manager] { <col0>[Manager_ID]:[int] <col1>[text]:[Country] <col2>[text]:[Working_year_starts] <col3>[text]:[Age] <col4>[int]:[Level] } <table1>[railway] { <col0>[Railway_ID]:[int] <col1>[Railway]:[text] <col2>[Builder]:[text] <col3>[Built]:[text] <col4>[Wheels]:[text] <col5>[Location]:[text] <col6>[ObjectNumb... | SELECT Name, COUNT( Name ) FROM `<table3>` GROUP BY Name ORDER BY COUNT( Name ) DESC | Give me a bar chart for how many name of each name, and sort y-axis in desc order.
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<table0>[retail_sales] { <col0>[sale_id]:[INT] <col1>[product_id]:[INT] <col2>[quantity]:[INT] <col3>[revenue]:[FLOAT] <col4>[is_ethically_sourced]:[BOOLEAN] <col5>[sale_date]:[DATE] } | SELECT SUM( `<col3>` ) as total_revenue, SUM( `<col2>` ) as total_quantity FROM `<table0>` WHERE `<col4>` = TRUE AND `<col5>` BETWEEN '2021-01-01' AND '2021-12-31'; | Find the total revenue and quantity of ethically sourced products sold in 2021 |
<table0>[labevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[itemid]:[number] <col4>[charttime]:[time] <col5>[valuenum]:[number] <col6>[valueuom]:[text] } <table1>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[admittime]:[... | SELECT SUM( `<table3>`.dose_val_rx ) FROM `<table3>` WHERE `<table3>`.hadm_id IN ( SELECT `<table1>`.hadm_id FROM `<table1>` WHERE `<table1>`.subject_id = 29741 AND NOT `<table1>`.dischtime IS NULL ORDER BY `<table1>`.admittime LIMIT 1 ) AND `<table3>`.drug = 'tricor' | how many dose of tricor has been prescribed to patient 29741 in the first hospital encounter? |
<table0>[table_59180] { <col0>[Team]:[text] <col1>[Agg]:[text] <col2>[Team]:[text] <col3>[1st]:[leg] <col4>[text]:[2nd] <col5>[leg]:[text] } | SELECT "2nd leg" FROM `<table0>` WHERE "Team 2" = 'dunaferr' | What is 2nd Leg, when Team 2 is 'Dunaferr'?
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<table0>[Plants] { <col0>[INT]:[strain] <col1>[TEXT]:[growth_type] <col2>[TEXT]:[thc_percentage] <col3>[DECIMAL]:[INSERT] } | SELECT AVG( thc_percentage ) as avg_thc FROM `<table0>` WHERE growth_type = 'indoor' AND strain LIKE '%sativa%'; | What is the average THC percentage for indoor-grown sativas? |
<table0>[spacecrafts] { <col0>[spacecraft_id]:[INT] <col1>[name]:[VARCHAR] } <table1>[missions] { <col0>[mission_id]:[INT] <col1>[spacecraft_id]:[INT] <col2>[crew]:[VARCHAR] } | SELECT s.name FROM `<table0>` s INNER JOIN missions m ON s.spacecraft_id = m.spacecraft_id INNER JOIN ( SELECT crew FROM crew_members WHERE role = 'scientist' INTERSECT SELECT crew FROM crew_members WHERE role = 'engineer' ) cm ON m.crew = cm.crew; | Which spacecraft were used in missions that had both a scientist and an engineer as crew members? |
<table0>[table_1507852_1] { <col0>[attribute]:[VARCHAR] <col1>[type]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "DOMNodeRemoved" | What are the attributes when the type is "DOMNodeRemoved"? |
<table0>[ClaimsTable] { <col0>[PolicyID]:[INT] <col1>[PolicyType]:[VARCHAR] <col2>[ClaimAmount]:[DECIMAL] } | SELECT `<col1>` FROM `<table0>` WHERE `<col2>` IS NULL; | Identify policy types that do not have any claims. |
<table0>[jobs] { <col0>[JOB_ID]:[varchar] <col1>[JOB_TITLE]:[varchar] <col2>[MIN_SALARY]:[decimal] <col3>[MAX_SALARY]:[decimal] } <table1>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[EMAIL]:[varchar] <col4>[PHONE_NUMBER]:[varchar] <col5>[HIRE_DATE]:[date] ... | SELECT HIRE_DATE, `<col8>` FROM `<table1>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table6>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY `<col5>` | For those employees who do not work in departments with managers that have ids between 100 and 200, for commission_pct, hire_date, visualize the trend, sort X in asc order.
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<table0>[table_30047613_12] { <col0>[date]:[VARCHAR] <col1>[streak]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "W 2" | in which date the strea was w 2 |
<table0>[table_name_54] { <col0>[award]:[VARCHAR] <col1>[category]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "teen pick show: comedy" | Which award show nominated The Suite Life on Deck for the Teen Pick Show: Comedy category? |
<table0>[table_name_95] { <col0>[country]:[VARCHAR] <col1>[television_service]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "cartello promozionale sky hd" | What country has a television service with Cartello Promozionale sky hd? |
<table0>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table1>[diagnoses_icd] { <col0>[row_id]:[number] <col1>[subject_id]:[... | SELECT COUNT( DISTINCT t1.subject_id ) FROM ( SELECT admissions.subject_id, `<table1>`.charttime, admissions.hadm_id FROM `<table1>` JOIN admissions ON `<table1>`.hadm_id = admissions.hadm_id WHERE `<table1>`.icd9_code = ( SELECT `<table9>`.icd9_code FROM `<table9>` WHERE `<table9>`.short_title = 'acute necrosis of liv... | count the number of patients who were diagnosed with acute necrosis of liver in the same hospital visit after they were diagnosed with nb obsrv suspct infect during this year.
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<table0>[countries] { <col0>[COUNTRY_ID]:[varchar] <col1>[COUNTRY_NAME]:[varchar] <col2>[REGION_ID]:[decimal] } <table1>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[EMAIL]:[varchar] <col4>[PHONE_NUMBER]:[varchar] <col5>[HIRE_DATE]:[date] <col6>[JOB_ID]:[va... | SELECT HIRE_DATE, `<col8>` FROM `<table1>` WHERE `<col1>` LIKE '%D%' OR `<col1>` LIKE '%S%' ORDER BY `<col5>` DESC | For all employees who have the letters D or S in their first name, a line chart shows the change of commission_pct over hire_date, and show x-axis in desc order. |
<table0>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] } <table1>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } | SELECT T1.Code, T1.Price FROM `<table1>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name | For those records from the products and each product's manufacturer, visualize the relationship between code and price , and group by attribute name.
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<table0>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type]:[text] <col4>[drug]:[text] <col5>[formulary_drug_cd]:[text] <col6>[route]:[text] <col7>[drug_dose]:[text] } <table1>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE `<table2>`.insurance = "Self Pay" AND lab.label = "Vitamin B12" | Provide the number of self pay insurance patients who had vitamin b12 lab tests. |
<table0>[tech_accessibility_patents] { <col0>[INT]:[year] <col1>[INT]:[community] <col2>[VARCHAR]:[255] <col3>[type]:[VARCHAR] <col4>[255]:[INSERT] } | SELECT COUNT( * ) FROM `<table0>` WHERE year = 2019 AND community = 'Women in Tech'; | How many technology accessibility patents were granted to women in tech in 2019? |
<table0>[EXISTS] { <col0>[grants]:[INT] <col1>[facultyid]:[INT] <col2>[department]:[VARCHAR] <col3>[INT]:[startdate] <col4>[DATE]:[enddate] } | SELECT SUM( amount ) FROM grants WHERE department='Mathematics' AND startdate >= DATE_SUB( CURRENT_DATE, INTERVAL 5 YEAR ); | What is the total funding amount for grants awarded to faculty members in the Mathematics department in the past 5 years? |
<table0>[Artists] { <col0>[ArtistID]:[INT] <col1>[VARCHAR]:[Age] <col2>[INT]:[Genre] <col3>[VARCHAR]:[INSERT] } <table1>[Festivals] { <col0>[FestivalID]:[INT] } <table2>[Performances] { <col0>[PerformanceID]:[INT] <col1>[ArtistID]:[INT] <col2>[FestivalID]:[INT] <col3>[INSERT]:[Festivals] <col4>[VALUES]:[Coachella] <c... | SELECT AVG( A.Age ) FROM `<table0>` A INNER JOIN Performances P ON A.ArtistID = P.ArtistID INNER JOIN Festivals F ON P.FestivalID = F.FestivalID WHERE A.Genre = 'Country'; | What is the average age of all country musicians who have performed at music festivals? |
<table0>[university] { <col0>[School_ID]:[int] <col1>[School]:[text] <col2>[Location]:[text] <col3>[Founded]:[real] <col4>[Affiliation]:[text] <col5>[Enrollment]:[real] <col6>[Nickname]:[text] <col7>[Primary_conference]:[text] } <table1>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Nam... | SELECT ACC_Road, AVG( `<col1>` ) FROM `<table1>` GROUP BY `<col6>` ORDER BY `<col6>` DESC | Give me the comparison about the average of School_ID over the ACC_Road , and group by attribute ACC_Road by a bar chart, order X-axis in descending order please. |
<table0>[paperfield] { <col0>[fieldid]:[int] <col1>[paperid]:[int] } <table1>[paperkeyphrase] { <col0>[paperid]:[int] <col1>[keyphraseid]:[int] } <table2>[journal] { <col0>[journalid]:[int] <col1>[journalname]:[varchar] } <table3>[author] { <col0>[authorid]:[int] <col1>[authorname]:[varchar] } <table4>[field] { <co... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'deep learning' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | papers about deep learning |
<table0>[ticket_sales] { <col0>[sale_id]:[INT] <col1>[PRIMARY]:[KEY] <col2>[team_id]:[INT] <col3>[sale_date]:[DATE] <col4>[quantity]:[INT] } | INSERT INTO ticket_sales ( sale_id, team_id, sale_date, quantity ) VALUES ( 1, 101, '2022-02-15', 500 ); | Insert data into ticket_sales table |
<table0>[table_53742] { <col0>[Home]:[team] <col1>[text]:[Home] <col2>[team]:[score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Away]:[team] <col6>[score]:[text] <col7>[Venue]:[text] <col8>[Crowd]:[real] <col9>[Date]:[text] } | SELECT "Away team" FROM `<table0>` WHERE "Venue" = 'kardinia park' | Which away team played at Kardinia Park?
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<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` WHERE `<table2>`.discharge_location = "DEAD/EXPIRED" AND `<table2>`.days_stay > "1" | what is the number of patients whose discharge location is dead/expired and hospital stay is above 1 day? |
<table0>[table_203_631] { <col0>[number]:[year] <col1>[number]:[name] <col2>[text]:[episodes] <col3>[text]:[guests] <col4>[text]:[winner] } | SELECT "episodes" FROM `<table0>` WHERE "name of show" = 'super trio series 2: movie buff championship' | how many episodes was charmaine sheh on in the variety show super trio 2 : movie buff champions
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<table0>[AstronautMedicalData] { <col0>[astronaut_name]:[VARCHAR] <col1>[country]:[VARCHAR] <col2>[age]:[INT] <col3>[mission_name]:[VARCHAR] } | SELECT MIN( `<col2>` ) FROM `<table0>` WHERE `<col3>` = 'Mars Exploration'; | What is the minimum age of astronauts who have traveled to Mars? |
<table0>[table_204_741] { <col0>[number]:[rank] <col1>[number]:[name] <col2>[text]:[nationality] <col3>[text]:[text] <col4>[text]:[text] <col5>[text]:[notes] } | SELECT "name" FROM `<table0>` WHERE "rank" = ( SELECT "rank" FROM `<table0>` WHERE "name" = 'anna pau' ) - 1 | who is the previous qualifier over anna pau ?
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<table0>[candidate] { <col0>[Candidate_ID]:[int] <col1>[People_ID]:[int] <col2>[Poll_Source]:[text] <col3>[Date]:[text] <col4>[Support_rate]:[real] <col5>[Consider_rate]:[real] <col6>[Oppose_rate]:[real] <col7>[Unsure_rate]:[real] } <table1>[people] { <col0>[People_ID]:[int] <col1>[Sex]:[text] <col2>[text]:[Date_of_Bi... | SELECT Sex, COUNT( `<col1>` ) FROM `<table1>` GROUP BY `<col1>` ORDER BY COUNT( `<col1>` ) DESC | A bar chart shows the distribution of Sex and the amount of Sex , and group by attribute Sex, and sort Y-axis in descending order.
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<table0>[Category_Revenue] { <col0>[sale_id]:[INT] <col1>[sale_date]:[DATE] <col2>[sale_amount]:[FLOAT] <col3>[brand_name]:[VARCHAR] <col4>[product_category]:[VARCHAR] } | SELECT `<table0>`.product_category, AVG( CASE WHEN `<table0>`.brand_name IN ( SELECT DISTINCT `<col3>` FROM Ethical_Fashion_Brands ) THEN 100 ELSE 0 END ) as ethical_brand_percentage FROM `<table0>` GROUP BY `<table0>`.product_category; | What is the percentage of revenue generated from ethical fashion brands in each product category? |
<table0>[job_history] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[START_DATE]:[date] <col2>[END_DATE]:[date] <col3>[JOB_ID]:[varchar] <col4>[DEPARTMENT_ID]:[decimal] } <table1>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[varchar] <col2>[POSTAL_CODE]:[varchar] <col3>[CITY]:[varchar] <col4>[STATE_PROVI... | SELECT HIRE_DATE, SUM( `<col7>` ) FROM `<table5>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table6>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY SUM( `<col7>` ) DESC | For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the sum of salary bin hire_date by weekday, sort total number in desc order. |
<table0>[lab] { <col0>[labid]:[number] <col1>[patientunitstayid]:[number] <col2>[labname]:[text] <col3>[labresult]:[number] <col4>[labresulttime]:[time] } <table1>[medication] { <col0>[medicationid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[dosage]:[text] <col4>[routeadmin]:[text] <col... | SELECT `<table6>`.`<table6>`time FROM `<table6>` WHERE `<table6>`.`<table8>`unitstayid IN ( SELECT `<table8>`.`<table8>`unitstayid FROM `<table8>` WHERE `<table8>`.`<table8>`healthsystemstayid IN ( SELECT `<table8>`.`<table8>`healthsystemstayid FROM `<table8>` WHERE `<table8>`.uniquepid = '002-61035' ) ) AND `<table6>`... | when was patient 002-61035 diagnosed with primary lung cancer - adenocarcinoma until 2104 for the last time?
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<table0>[table_name_96] { <col0>[to_par]:[VARCHAR] <col1>[player]:[VARCHAR] <col2>[country]:[VARCHAR] <col3>[place]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col2>` = "united states" AND `<col3>` = "t4" AND `<col1>` = "arnold palmer" | What is To Par, when Country is 'United States', when Place is 'T4', and when Player is 'Arnold Palmer'? |
<table0>[Employees] { <col0>[EmployeeID]:[INT] <col1>[VARCHAR]:[Gender] <col2>[VARCHAR]:[Department] <col3>[VARCHAR]:[Age] <col4>[INT]:[INSERT] } | SELECT ( COUNT( * ) FILTER ( WHERE Gender = 'Female' ) ) * 100.0 / COUNT( * ) FROM Employees; | What is the percentage of female employees in the mining company? |
<table0>[table_name_23] { <col0>[drivers]:[VARCHAR] <col1>[laps]:[VARCHAR] <col2>[class]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 133 AND `<col2>` = "oc" | Who are the drivers with 133 laps in OC class?
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<table0>[Feed] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[FishStockID] <col2>[INT]:[FeedType] <col3>[VARCHAR]:[Quantity] <col4>[INT]:[FeedDate] <col5>[DATE]:[FOREIGN] <col6>[KEY]:[FishStockID] <col7>[REFERENCES]:[FishStock] } | SELECT f.SpeciesID, f.Name AS SpeciesName, SUM( fd.Quantity ) AS Total`<table0>`Quantity, SUM( h.Quantity ) AS TotalHarvestQuantity FROM `<table0>` fd JOIN Species f ON fd.SpeciesID = f.ID JOIN Harvest h ON f.ID = h.AquacultureFacilityID GROUP BY f.SpeciesID, f.Name; | What is the total quantity of feed and total harvest quantity for each species, grouped by species? |
<table0>[cost] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[event_type]:[text] <col4>[event_id]:[number] <col5>[chargetime]:[time] } <table1>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:... | SELECT `<table14>`.charttime FROM `<table14>` WHERE `<table14>`.hadm_id IN ( SELECT `<table9>`.hadm_id FROM `<table9>` WHERE `<table9>`.subject_id = 13440 AND NOT `<table9>`.dischtime IS NULL ORDER BY `<table9>`.admittime DESC LIMIT 1 ) ORDER BY `<table14>`.charttime LIMIT 1 | when did patient 13440 receive the first microbiology test on their last hospital visit? |
<table0>[table_53605] { <col0>[Driver]:[text] <col1>[Constructor]:[text] <col2>[Laps]:[real] <col3>[Time]:[Retired] <col4>[text]:[Grid] } | SELECT "Constructor" FROM `<table0>` WHERE "Laps" = '16' AND "Grid" = '9' | What company was Constructor when there were 16 laps and grid was 9?
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<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[microlab] { <col0>[microlabid]:[number] <col1>[patientunitstayid]:[number] <col2>[culturesite]:[text] <col3>[organism]:[text] <col4>[culture... | SELECT COUNT( * ) > 0 FROM `<table9>` WHERE `<table9>`.`<table3>`unitstayid IN ( SELECT `<table3>`.`<table3>`unitstayid FROM `<table3>` WHERE `<table3>`.`<table3>`healthsystemstayid IN ( SELECT `<table3>`.`<table3>`healthsystemstayid FROM `<table3>` WHERE `<table3>`.uniquepid = '015-94586' ) ) AND `<table9>`.`<table9>`... | has patient 015-94586 ever undergone a bronchodilator? |
<table0>[creative_ai] { <col0>[artwork]:[TEXT] <col1>[style]:[TEXT] <col2>[artist]:[TEXT] <col3>[year]:[INT] } | INSERT INTO creative_ai ( artwork, style, artist, year ) VALUES ( 'Water Lilies', 'Impressionism', 'Monet', 1906 ), ( 'Composition VIII', 'Suprematism', 'Malevich', 1918 ); | Insert new records into the 'creative_ai' table for 'Artwork' as 'Style' |
<table0>[Player] { <col0>[pID]:[numeric] <col1>[pName]:[varchar] <col2>[yCard]:[varchar] } <table1>[College] { <col0>[cName]:[varchar] <col1>[state]:[varchar] <col2>[enr]:[numeric] } <table2>[Tryout] { <col0>[pID]:[numeric] <col1>[cName]:[varchar] <col2>[pPos]:[varchar] <col3>[decision]:[varchar] } | SELECT state, `<col2>` FROM `<table1>` AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes' ORDER BY `<col2>` | What is the state and enrollment of the colleges where have any students who got accepted in the tryout decision Plot them as bar chart, could you display Y in asc order? |
<table0>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:[text] <col5>[ethnicity]:[text] <col6>[hospitalid]:[number] <col7>[wardid]:[number] <col8>[admissionheight]:[number] <col9>[admissionweight]:[number] <col10>[disch... | SELECT SUM( CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME( '%j', patient.hospitaldischargetime ) - STRFTIME( '%j', t2.`<table2>`time ) > 5 * 365 THEN 1 ELSE 0 END ) * 100 / COUNT( * ) FROM ( SELECT t1.uniquepid, t1.`<table2>`time FROM ( SELECT patient.uniquepid, `<table2>`.`<table2>`time FROM... | among patients diagnosed with hypomagnesemia, calculate the five year survival rate. |
<table0>[table_name_80] { <col0>[from_club]:[VARCHAR] <col1>[player]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "robinho" | What is From Club, when Player is 'Robinho'? |
<table0>[table_39564] { <col0>[Role]:[text] <col1>[Oyly]:[Carte] <col2>[1920]:[Tour] <col3>[text]:[Oyly] <col4>[Carte]:[1930] <col5>[Tour]:[text] <col6>[Oyly]:[Carte] <col7>[1939]:[Tour] <col8>[text]:[Oyly] <col9>[Carte]:[1945] <col10>[Tour]:[text] <col11>[Oyly]:[Carte] <col12>[1950]:[Tour] } | SELECT "D'Oyly `<col4>` 1945 Tour" FROM `<table0>` WHERE "D'Oyly `<col4>` `<col2>` Tour" = 'james turnbull' | D'Oyly Carte 1920 Tour of james turnbull is what D'Oyly Carte 1945 Tour?
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<table0>[CLASS] { <col0>[crs_code]:[VARCHAR] } <table1>[course] { <col0>[crs_code]:[VARCHAR] } | SELECT COUNT( * ), dept_code FROM `<table0>` AS T1 JOIN course AS T2 ON T1.crs_code = T2.crs_code GROUP BY dept_code | Find the number of classes in each department.
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<table0>[clinical_trials_data_2] { <col0>[drug_name]:[VARCHAR] <col1>[trial_outcome]:[VARCHAR] } | SELECT drug_name, `<col1>` FROM `<table0>` WHERE `<col0>` = 'DrugZ'; | What are the clinical trial outcomes for drug 'DrugZ'? |
<table0>[table_203_241] { <col0>[number]:[name] <col1>[text]:[founded] <col2>[number]:[defunct] <col3>[number]:[country] <col4>[text]:[publisher] <col5>[text]:[topics] <col6>[text]:[external] <col7>[link]:[text] } | SELECT ( SELECT COUNT( * ) FROM `<table0>` WHERE "founded" < 2000 ) > ( SELECT COUNT( * ) FROM `<table0>` AS `<table0>` WHERE "founded" > 2000 ) | were more magazines founded before or after 2000 ?
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<table0>[transfers] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[eventtype]:[text] <col5>[careunit]:[text] <col6>[wardid]:[number] <col7>[intime]:[time] <col8>[outtime]:[time] } <table1>[admissions] { <col0>[row_id]:[number] <col1>[subject_id]:[numbe... | SELECT COUNT( DISTINCT t1.subject_id ) FROM ( SELECT admissions.subject_id, `<table11>`.charttime FROM `<table11>` JOIN admissions ON `<table11>`.hadm_id = admissions.hadm_id WHERE `<table11>`.icd9_code = ( SELECT `<table3>`.icd9_code FROM `<table3>` WHERE `<table3>`.short_title = 'chronic kidney dis nos' ) AND DATETIM... | how many patients during the last year received entral infus nutrit sub within 2 months after a diagnosis of chronic kidney dis nos? |
<table0>[state] { <col0>[state_code]:[text] <col1>[state_name]:[text] <col2>[country_name]:[text] } <table1>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_type]:[varchar] <col4>[engines]:[int] <col5>[propulsion]:[varchar] <col6>[wide_body... | SELECT DISTINCT flight.flight_id FROM `<table10>` AS AIRPORT_SERVICE_0, `<table10>` 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 = 'MILWAUKEE' AND date_day.day_number = 20 AND date_day.month_number = 1 AND da... | give me the earliest flight on AA tomorrow from ST. PETERSBURG to MILWAUKEE |
<table0>[table_6093] { <col0>[Model]:[Number] <col1>[text]:[Stepping] <col2>[text]:[Frequency] <col3>[text]:[Cache] <col4>[text]:[Multi] <col5>[text]:[Core] <col6>[text]:[Socket] <col7>[text]:[Release] <col8>[Date]:[text] <col9>[Number]:[text] } | SELECT "V Core" FROM `<table0>` WHERE "Stepping" = 'g1' AND "Frequency" = '1900mhz' | What is the v-core for a stepping of G1 and frequency of 1900MHz?
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<table0>[safety_protocols] { <col0>[protocol_id]:[INT] <col1>[protocol_date]:[DATE] } | SELECT * FROM `<table0>` WHERE `<col1>` >= '2021-07-01' AND `<col1>` < '2021-10-01'; | Identify safety protocol violations in Q3 2021. |
<table0>[stadium] { <col0>[int]:[name] <col1>[text]:[Capacity] <col2>[int]:[City] <col3>[text]:[Country] <col4>[text]:[Opening_year] } <table1>[event] { <col0>[int]:[text] <col1>[Stadium_ID]:[int] <col2>[Year]:[text] } <table2>[record] { <col0>[int]:[Result] <col1>[text]:[Swimmer_ID] <col2>[int]:[Event_ID] } <table3... | SELECT meter_300, meter_100 FROM `<table3>` ORDER BY meter_300 DESC | Plot meter_100 by grouped by meter 300 as a bar graph, I want to order by the names in descending. |
<table0>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table1>[student_record] { <col0>[student_id]:[int] <col1>[course_id]:[int] <col2>[semester]:[int] <col3>[grade]:[varchar] <col4>[varchar]:[transfer_source] <col5>[varchar]:[earn_credit] <col6>[varchar]:[repeat_term] <col7>[varchar]:... | SELECT COUNT( * ) > 0 FROM course, course_offering, semester WHERE course_offering.friday = 'N' AND course_offering.monday = 'Y' AND course_offering.thursday = 'N' AND course_offering.tuesday = 'N' AND course_offering.wednesday = 'Y' AND course.course_id = course_offering.course_id AND course.department = 'EECS' AND co... | Is it possible to take 382 on Mondays and Wednesdays ?
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<table0>[table_11240028_1] { <col0>[last_appearance]:[VARCHAR] <col1>[portrayed_by]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "A. J. Buckley" | Which episode did actor A. J. Buckley last appear in?
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<table0>[table_203_245] { <col0>[number]:[year] <col1>[number]:[competition] <col2>[text]:[venue] <col3>[text]:[position] <col4>[text]:[event] <col5>[text]:[notes] } | SELECT "position" FROM `<table0>` WHERE id = ( SELECT id FROM `<table0>` WHERE "competition" = 'olympic games' AND "year" = 1996 ) + 1 | how did silva plce in the competition after the olympic games in 1996 ?
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<table0>[table_201_19] { <col0>[number]:[rank] <col1>[number]:[title] <col2>[text]:[studio] <col3>[text]:[director] <col4>[text]:[actors] <col5>[text]:[gross] } | SELECT "title" FROM `<table0>` ORDER BY "gross" LIMIT 1 | which is the least successful film ?
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<table0>[table_28087] { <col0>[Episode]:[Number] <col1>[real]:[Episode] <col2>[text]:[Rating] <col3>[text]:[Share] <col4>[real]:[Rating] <col5>[Share]:[text] <col6>[Viewers]:[millions] <col7>[text]:[Rank] <col8>[Timeslot]:[real] <col9>[Rank]:[Night] } | SELECT MIN( "Episode Number" ) FROM `<table0>` WHERE "Rating/Share ( 18-49 )" = '1.1/3' | What is the lowest episode number that had a ratings/share (18-49) of 1.1/3?
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<table0>[campus_job_id] { <col0>[int]:[student_id] <col1>[int]:[location] } <table1>[course_offering] { <col0>[offering_id]:[int] <col1>[course_id]:[int] <col2>[semester]:[int] <col3>[section_number]:[int] <col4>[start_time]:[time] <col5>[end_time]:[time] <col6>[monday]:[varchar] <col7>[tuesday]:[varchar] <col8>[wedne... | SELECT DISTINCT department, name, `<col3>` FROM `<table2>` WHERE ( `<col7>` LIKE '%Film and Cinema Studies%' OR `<col1>` LIKE '%Film and Cinema Studies%' ) AND `<col4>` = 11 | I need an Film and Cinema Studies class that gives 11 credits , which ones do ? |
<table0>[table_name_51] { <col0>[win__percentage]:[VARCHAR] <col1>[number_of_bids]:[VARCHAR] <col2>[conference]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE _number_of_bids = 2 AND `<col2>` = "west coast" | When the conference is west coast and the number of bids are at 2, what's the percentage of games won? |
<table0>[BuildingRetrofits] { <col0>[BuildingID]:[INT] <col1>[Country]:[VARCHAR] <col2>[255]:[PreRetrofitRating] <col3>[FLOAT]:[PostRetrofitRating] } | SELECT AVG( ( PostRetrofitRating-PreRetrofitRating )/PreRetrofitRating*100 ) FROM `<table0>` WHERE `<col1>` = 'United Kingdom'; | What is the average energy efficiency improvement (in percentage) for buildings in the UK after retrofitting? |
<table0>[space_missions] { <col0>[mission_id]:[INT] <col1>[name]:[VARCHAR] <col2>[100]:[launch_date] <col3>[DATE]:[launching_agency] <col4>[VARCHAR]:[INSERT] } | SELECT name, launch_date FROM `<table0>` WHERE launching_agency = 'ISA'; | What are the names and launch dates of all space missions launched by ISA? |
<table0>[policyholders] { <col0>[INT]:[name] <col1>[TEXT]:[state] <col2>[TEXT]:[INSERT] } <table1>[claims] { <col0>[INT]:[policyholder_id] <col1>[INT]:[claim_amount] <col2>[FLOAT]:[claim_date] <col3>[DATE]:[INSERT] } | DELETE FROM `<table1>` WHERE `<table1>`.id IN ( SELECT `<table1>`.id FROM `<table1>` JOIN policyholders ON `<table1>`.policyholder_id = policyholders.id WHERE policyholders.state = 'Texas' AND `<table1>`.claim_date < DATE_SUB( CURRENT_DATE, INTERVAL 1 YEAR ) ); | Delete claims that have been processed more than 1 year ago for policyholders in Texas. |
<table0>[suppliers] { <col0>[supplier_id]:[INT] <col1>[supplier_name]:[VARCHAR] <col2>[ethical_rating]:[INT] <col3>[community_representation]:[VARCHAR] } | INSERT INTO suppliers ( supplier_id, supplier_name, ethical_rating, community_representation ) VALUES ( 104, 'Supplier W', 9, 'Underrepresented' ); | Insert a new supplier from an underrepresented community with a high ethical rating |
<table0>[EnvironmentalImpact] { <col0>[Country]:[VARCHAR] <col1>[255]:[Year] <col2>[INT]:[MiningType] <col3>[VARCHAR]:[255] <col4>[Impact]:[INT] } | SELECT Context.Country, Context.Impact FROM `<table0>` as Context WHERE Context.Year = 2016 AND Context.MiningType = 'Oil'; | What are the environmental impact assessments for oil mining in Brazil in 2016? |
<table0>[table_name_30] { <col0>[year]:[VARCHAR] <col1>[competition]:[VARCHAR] } | SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "anugerah bintang popular berita harian 23" | What was the year that had Anugerah Bintang Popular Berita Harian 23 as competition? |
<table0>[table_name_87] { <col0>[final_position]:[VARCHAR] <col1>[ties]:[VARCHAR] <col2>[wins]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "0" AND `<col2>` = "5" | What is the final position with ties of 0, and wins of 5? |
<table0>[table_24852622_1] { <col0>[circuit]:[VARCHAR] <col1>[round]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "2" | What was the circuit in round 2? |
<table0>[MilitaryEquipmentSales] { <col0>[seller]:[VARCHAR] <col1>[255]:[buyer] <col2>[VARCHAR]:[255] <col3>[equipment_model]:[VARCHAR] <col4>[255]:[sale_price] <col5>[DECIMAL]:[sale_date] <col6>[DATE]:[region] <col7>[VARCHAR]:[255] } | SELECT MAX( sale_price ) FROM `<table0>` WHERE `<col0>` = 'Epsilon Corp' AND region = 'North America' AND YEAR( sale_date ) = 2020; | What is the maximum sale price of military equipment sold by 'Epsilon Corp' in 'North America' in the year 2020? |
<table0>[space_debris] { <col0>[debris_id]:[INT] <col1>[name]:[VARCHAR] <col2>[255]:[country] <col3>[VARCHAR]:[255] <col4>[debris_type]:[VARCHAR] } | SELECT country, COUNT( * ) as total_debris FROM `<table0>` GROUP BY country; | What is the distribution of space debris by country? |
<table0>[table_name_29] { <col0>[opponent]:[VARCHAR] <col1>[week]:[VARCHAR] <col2>[date]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` < 12 AND `<col2>` = "november 25, 1965" | What opponent has a week less than 12, with November 25, 1965 as the date? |
<table0>[table_name_36] { <col0>[pick]:[INTEGER] <col1>[overall]:[VARCHAR] <col2>[round]:[VARCHAR] } | SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` = 85 AND `<col2>` < 3 | What is the average pick with 85 overall in a round lower than 3? |
<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[prescriptions] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icustay_id]:[text] <col3>[drug_type... | SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` WHERE `<table2>`.ethnicity = "BLACK/HAITIAN" AND `<table2>`.age < "85" | provide the number of patients whose ethnicity is black/haitian and age is less than 85?
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<table0>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table1>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heart... | SELECT `<table7>`.admissionheight FROM `<table7>` WHERE `<table7>`.`<table7>`healthsystemstayid IN ( SELECT `<table7>`.`<table7>`healthsystemstayid FROM `<table7>` WHERE `<table7>`.uniquepid = '005-73237' ) AND NOT `<table7>`.admissionheight IS NULL AND DATETIME( `<table7>`.unitadmittime, 'start of month' ) = DATETIME(... | what was the last height of patient 005-73237 in the last month. |
<table0>[residential_usage] { <col0>[user_id]:[INT] <col1>[region]:[VARCHAR] <col2>[usage]:[FLOAT] <col3>[timestamp]:[TIMESTAMP] } | SELECT AVG( `<col2>` ) FROM `<table0>` WHERE `<col1>` = 'Los Angeles' AND `<col3>` BETWEEN DATE_SUB( CURRENT_TIMESTAMP, INTERVAL 1 YEAR ) AND CURRENT_TIMESTAMP; | What is the average monthly water usage for residential users in the Los Angeles region for the past year? |
<table0>[Affiliated_With] { <col0>[Physician]:[INTEGER] <col1>[Department]:[INTEGER] <col2>[PrimaryAffiliation]:[BOOLEAN] } <table1>[Undergoes] { <col0>[Patient]:[INTEGER] <col1>[Procedures]:[INTEGER] <col2>[Stay]:[INTEGER] } <table2>[Prescribes] { <col0>[Physician]:[INTEGER] <col1>[Patient]:[INTEGER] <col2>[Medicati... | SELECT T1.Name, COUNT( T1.Name ) FROM `<table9>` AS T1 JOIN Trained_In AS T2 ON T1.EmployeeID = T2.`<table9>` JOIN Procedures AS T3 ON T3.Code = T2.Treatment WHERE T3.Cost > 5000 GROUP BY T1.Name | Which physicians are trained in procedures that are more expensive than 5000, and count them by a pie chart |
<table0>[Dorm] { <col0>[dormid]:[INTEGER] <col1>[dorm_name]:[VARCHAR] <col2>[student_capacity]:[INTEGER] <col3>[gender]:[VARCHAR] } <table1>[Lives_in] { <col0>[stuid]:[INTEGER] <col1>[dormid]:[INTEGER] <col2>[room_number]:[INTEGER] } <table2>[Has_amenity] { <col0>[dormid]:[INTEGER] <col1>[amenid]:[INTEGER] } <table3... | SELECT city_code, AVG( `<col3>` ) FROM `<table4>` GROUP BY `<col7>` ORDER BY AVG( `<col3>` ) | What are average ages for students living in each city? Return a bar chart, and sort in asc by the total number.
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<table0>[table_name_55] { <col0>[tyre]:[VARCHAR] <col1>[drivers]:[VARCHAR] <col2>[rounds]:[VARCHAR] <col3>[team]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col2>` = "all" AND `<col3>` = "nismo" AND `<col1>` = "satoshi motoyama" | What is the tyre of nismo team member satoshi motoyama when he has rounds of all? |
<table0>[graduate_students] { <col0>[INT]:[name] <col1>[VARCHAR]:[department] <col2>[VARCHAR]:[email] <col3>[VARCHAR]:[INSERT] } | UPDATE graduate_students SET email = CONCAT( SUBSTRING_INDEX( email, '@', 1 ), '@physics.edu' ) WHERE department = 'Physics'; | Update the email addresses of all graduate students in the Physics department with the domain 'physics.edu'. |
<table0>[Products] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Price]:[DECIMAL] <col3>[Manufacturer]:[INTEGER] } <table1>[Manufacturers] { <col0>[Code]:[INTEGER] <col1>[VARCHAR]:[255] <col2>[Headquarter]:[VARCHAR] <col3>[255]:[Founder] <col4>[VARCHAR]:[255] <col5>[Revenue]:[REAL] } | SELECT T2.Name, T2.Revenue FROM `<table0>` AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the sum of revenue , and group by attribute name, list from low to high by the x axis.
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<table0>[expenditures] { <col0>[destination_country]:[VARCHAR] <col1>[visitor_country]:[VARCHAR] <col2>[avg_daily_expenditure]:[FLOAT] } | SELECT `<col2>` FROM `<table0>` WHERE `<col0>` = 'New Zealand' AND `<col1>` = 'Europe'; | What is the average expenditure per day for tourists visiting New Zealand from Europe? |
<table0>[CloseReasonTypes] { <col0>[number]:[text] <col1>[Description]:[text] } <table1>[Comments] { <col0>[number]:[PostId] <col1>[number]:[Score] <col2>[number]:[Text] <col3>[text]:[CreationDate] <col4>[time]:[UserDisplayName] <col5>[text]:[UserId] <col6>[number]:[ContentLicense] } <table2>[PostLinks] { <col0>[numb... | SELECT ROW_NUMBER( ) OVER ( ORDER BY Reputation DESC ) AS "#", Id AS "user_link", Reputation, Location, LastAccessDate, UpVotes, DownVotes FROM `<table21>` WHERE ( Location LIKE '%##Location##%' OR Location LIKE '%##AbbreviationRightSide##' ) AND NOT ( Location LIKE '%##Exclusion##%' OR Location LIKE '%##ExclusionRight... | Test: List of Users in a given location - Case Sensitive. List of Users in a given location. Case Sensitive
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<table0>[SuggestedEditVotes] { <col0>[number]:[SuggestedEditId] <col1>[number]:[UserId] <col2>[number]:[VoteTypeId] <col3>[number]:[CreationDate] <col4>[time]:[TargetUserId] <col5>[number]:[TargetRepChange] } <table1>[TagSynonyms] { <col0>[number]:[SourceTagName] <col1>[text]:[TargetTagName] <col2>[text]:[CreationDate... | SELECT * FROM `<table24>` WHERE Location = 'Dominican Republic' ORDER BY Reputation DESC | Users from the Dominican Republic. |
<table0>[threat_intelligence] { <col0>[metric_id]:[INT] <col1>[metric_date]:[DATE] <col2>[region]:[VARCHAR] <col3>[255]:[INSERT] } | SELECT COUNT( * ) FROM `<table0>` WHERE `<col2>` = 'Middle East' AND `<col1>` >= DATE_SUB( CURRENT_DATE, INTERVAL 1 YEAR ); | Count the number of threat intelligence metrics reported in the Middle East in the last year. |
<table0>[transactions] { <col0>[transaction_id]:[INT] <col1>[customer_id]:[INT] <col2>[transaction_amount]:[DECIMAL] <col3>[transaction_date]:[DATE] } | SELECT AVG( `<col2>` ) FROM `<table0>` WHERE `<table0>`.transaction_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY DATE( `<col3>` ); | What is the daily average transaction amount for all customers in Q1 2022? |
<table0>[course_offering] { <col0>[offering_id]:[int] <col1>[course_id]:[int] <col2>[semester]:[int] <col3>[section_number]:[int] <col4>[start_time]:[time] <col5>[end_time]:[time] <col6>[monday]:[varchar] <col7>[tuesday]:[varchar] <col8>[wednesday]:[varchar] <col9>[thursday]:[varchar] <col10>[friday]:[varchar] <col11>[... | SELECT DISTINCT `<table8>`.department, `<table8>`.name, `<table8>`.number FROM `<table8>` INNER JOIN `<table8>`_offering ON `<table8>`.`<table8>`_id = `<table8>`_offering.`<table8>`_id INNER JOIN semester ON semester.semester_id = `<table8>`_offering.semester INNER JOIN program_`<table8>` ON program_`<table8>`.`<table8... | What classes are offered next Winter for PreMajor ?
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<table0>[table_30120619_1] { <col0>[barony]:[VARCHAR] <col1>[area__acres]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE area__acres__ = 150 | What is the barony of the townland whose area is 150 acres? |
<table0>[table_69848] { <col0>[Club]:[text] <col1>[Sport]:[text] <col2>[League]:[text] <col3>[Venue]:[text] <col4>[Championships]:[Years] } | SELECT "Championships ( Years )" FROM `<table0>` WHERE "Club" = 'tampa bay storm' | Which years did the Tampa Bay Storm win the Championships?
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<table0>[table_name_54] { <col0>[suburb]:[VARCHAR] <col1>[date_first_settled_as_a_suburb]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 1962 | Which Suburb was First Settled as a Suburb in 1962? |
<table0>[table_name_25] { <col0>[manufacturer]:[VARCHAR] <col1>[quantity_made]:[VARCHAR] <col2>[year_made]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "2" AND `<col2>` = "1884" | What is Manufacturer, when Quantity Made is 2, and when Year Made is 1884?
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<table0>[table_name_78] { <col0>[time]:[VARCHAR] <col1>[rank]:[VARCHAR] } | SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = 3 | What's the time of Rank 3?
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<table0>[table_name_6] { <col0>[place]:[INTEGER] <col1>[artist]:[VARCHAR] <col2>[points]:[VARCHAR] } | SELECT MAX( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "henri dès" AND `<col2>` < 8 | What is the highest place of a song by Henri D s that has fewer than 8 points? |
Subsets and Splits
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