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Find the name and flag of ships that are not steered by any captain with Midshipman rank.

SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')

captain: Captain_ID (INT), Name (TEXT), Ship_ID (INT), age (TEXT), Class (TEXT), Rank (TEXT) Ship: Ship_ID (INT), Name (TEXT), Type (TEXT), Built_Year (REAL), Class (TEXT), Flag (TEXT)

What are the names and flags of ships that do not have a captain with the rank of Midshipman?

SELECT name , flag FROM ship WHERE ship_id NOT IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman')

captain: Captain_ID (INT), Name (TEXT), Ship_ID (INT), age (TEXT), Class (TEXT), Rank (TEXT) Ship: Ship_ID (INT), Name (TEXT), Type (TEXT), Built_Year (REAL), Class (TEXT), Flag (TEXT)

Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.

SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'

captain: Captain_ID (INT), Name (TEXT), Ship_ID (INT), age (TEXT), Class (TEXT), Rank (TEXT) Ship: Ship_ID (INT), Name (TEXT), Type (TEXT), Built_Year (REAL), Class (TEXT), Flag (TEXT)

What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?

SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'

captain: Captain_ID (INT), Name (TEXT), Ship_ID (INT), age (TEXT), Class (TEXT), Rank (TEXT) Ship: Ship_ID (INT), Name (TEXT), Type (TEXT), Built_Year (REAL), Class (TEXT), Flag (TEXT)

What is id of the city that hosted events in the most recent year?

SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the city that hosted some events in the most recent year. What is the id of this city?

SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the match ids of the cities that hosted competition "1994 FIFA World Cup qualification"?

SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What is the match id of the competition called "1994 FIFA World Cup qualification"?

SELECT match_id FROM MATCH WHERE competition = "1994 FIFA World Cup qualification"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the cities which were once a host city after 2010?

SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities served as a host city after 2010?

SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T2.year > 2010

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which city has hosted the most events?

SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the city that hosted the most events.

SELECT T1.city FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY T2.host_city ORDER BY count(*) DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What is the venue of the competition "1994 FIFA World Cup qualification" hosted by "Nanjing ( Jiangsu )"?

SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.competition = "1994 FIFA World Cup qualification"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the venue of the competition "1994 FIFA World Cup qualification" which was hosted by "Nanjing ( Jiangsu )".

SELECT T3.venue FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city JOIN MATCH AS T3 ON T2.match_id = T3.match_id WHERE T1.city = "Nanjing ( Jiangsu )" AND T3.competition = "1994 FIFA World Cup qualification"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Give me the temperature of Shanghai in January.

SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What is the temperature of "Shanghai" city in January?

SELECT T2.Jan FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T1.city = "Shanghai"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What is the host year of city "Taizhou ( Zhejiang )"?

SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

IN which year did city "Taizhou ( Zhejiang )" serve as a host city?

SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )"

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which three cities have the largest regional population?

SELECT city FROM city ORDER BY regional_population DESC LIMIT 3

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What are the three largest cities in terms of regional population?

SELECT city FROM city ORDER BY regional_population DESC LIMIT 3

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which city has the lowest GDP? Please list the city name and its GDP.

SELECT city , GDP FROM city ORDER BY GDP LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What is the city with the smallest GDP? Return the city and its GDP.

SELECT city , GDP FROM city ORDER BY GDP LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which city has the highest temperature in February?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

In February, which city marks the highest temperature?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Give me a list of cities whose temperature in March is lower than that in July or higher than that in Oct?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul OR T2.Mar > T2.Oct

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities' temperature in March is lower than that in July or higher than that in Oct?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul OR T2.Mar > T2.Oct

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have lower temperature in March than in July and have been once host cities?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Give me a list of cities whose temperature in Mar is lower than that in Dec and which have never been host cities.

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have lower temperature in March than in Dec and have never served as host cities?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Mar < T2.Dec EXCEPT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Feb > T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have higher temperature in Feb than in Jun or have once served as host cities?

SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.Feb > T2.Jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Please give me a list of cities whose regional population is over 10000000.

SELECT city FROM city WHERE regional_population > 10000000

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have regional population above 10000000?

SELECT city FROM city WHERE regional_population > 10000000

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Please give me a list of cities whose regional population is over 8000000 or under 5000000.

SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have regional population above 8000000 or below 5000000?

SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the number of matches in different competitions.

SELECT count(*) , Competition FROM MATCH GROUP BY Competition

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

For each competition, count the number of matches.

SELECT count(*) , Competition FROM MATCH GROUP BY Competition

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

List venues of all matches in the order of their dates starting from the most recent one.

SELECT venue FROM MATCH ORDER BY date DESC

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What are the venues of all the matches? Sort them in the descending order of match date.

SELECT venue FROM MATCH ORDER BY date DESC

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

what is the GDP of the city with the largest population.

SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Find the GDP of the city with the largest regional population.

SELECT gdp FROM city ORDER BY Regional_Population DESC LIMIT 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

What are the GDP and population of the city that already served as a host more than once?

SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City HAVING count(*) > 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

Which cities have served as host cities more than once? Return me their GDP and population.

SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City HAVING count(*) > 1

city: City_ID (INT), City (TEXT), Hanzi (TEXT), Hanyu_Pinyin (TEXT), Regional_Population (INT), GDP (REAL) match: Match_ID (INT), Date (TEXT), Venue (TEXT), Score (TEXT), Result (TEXT), Competition (TEXT) temperature: City_ID (INT), Jan (REAL), Feb (REAL), Mar (REAL), Apr (REAL), Jun (REAL), Jul (REAL), Aug (REAL), Sep (REAL), Oct (REAL), Nov (REAL), Dec (REAL) hosting_city: Year (INT), Match_ID (INT), Host_City (TEXT)

List every individual's first name, middle name and last name in alphabetical order by last name.

SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the first, middle, and last names of all individuals, ordered by last name?

SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

List all the types of forms.

SELECT DISTINCT form_type_code FROM forms

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the different types of forms?

SELECT DISTINCT form_type_code FROM forms

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the name of the most popular party form.

SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id = t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the name of the party form that is most common?

SELECT t1.form_name FROM forms AS t1 JOIN party_forms AS t2 ON t1.form_id = t2.form_id GROUP BY t2.form_id ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the payment method and phone of the party with email "enrico09@example.com".

SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the payment method code and party phone of the party with the email 'enrico09@example.com'?

SELECT payment_method_code , party_phone FROM parties WHERE party_email = "enrico09@example.com"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the emails of parties with the most popular party form.

SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1)

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the party emails associated with parties that used the party form that is the most common?

SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY count(*) DESC LIMIT 1)

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

List all the name of organizations in order of the date formed.

SELECT organization_name FROM organizations ORDER BY date_formed ASC

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the names of organizations, ordered by the date they were formed, ascending?

SELECT organization_name FROM organizations ORDER BY date_formed ASC

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the name of the youngest organization.

SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the name of the organization that was formed most recently?

SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the last name of the latest contact individual of the organization "Labour Party".

SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the last name of the contact individual from the Labour party organization who was contacted most recently?

SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the last name of the first ever contact person of the organization with the highest UK Vat number.

SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.uk_vat_number = (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the last name of the first individual contacted from the organization with the maximum UK Vat number across all organizations?

SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.uk_vat_number = (SELECT max(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to ASC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

How many services are there?

SELECT count(*) FROM services

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Count the number of services.

SELECT count(*) FROM services

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find name of the services that has never been used.

SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id = t2.service_id

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the names of the services that have never been used?

SELECT service_name FROM services EXCEPT SELECT t1.service_name FROM services AS t1 JOIN party_services AS t2 ON t1.service_id = t2.service_id

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the name of all the cities and states.

SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the names of all cities and states?

SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

How many cities are there in state "Colorado"?

SELECT count(*) FROM addresses WHERE state_province_county = "Colorado"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Count the number of cities in the state of Colorado.

SELECT count(*) FROM addresses WHERE state_province_county = "Colorado"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the payment method code used by more than 3 parties.

SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the payment method codes that have been used by more than 3 parties?

SELECT payment_method_code FROM parties GROUP BY payment_method_code HAVING count(*) > 3

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the name of organizations whose names contain "Party".

SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the names of organizations that contain the word "Party"?

SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

How many distinct payment methods are used by parties?

SELECT count(DISTINCT payment_method_code) FROM parties

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Count the number of different payment method codes used by parties.

SELECT count(DISTINCT payment_method_code) FROM parties

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Which is the email of the party that has used the services the most number of times?

SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Return the party email that has used party services the greatest number of times.

SELECT t1.party_email FROM parties AS t1 JOIN party_services AS t2 ON t1.party_id = t2.customer_id GROUP BY t1.party_email ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Which state can address "6862 Kaitlyn Knolls" possibly be in?

SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Give the state corresponding to the line number building "6862 Kaitlyn Knolls".

SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What is the name of organization that has the greatest number of contact individuals?

SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Return the name of the organization which has the most contact individuals.

SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

Find the last name of the individuals that have been contact individuals of an organization.

SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

What are the last names of individuals who have been contact individuals for an organization?

SELECT DISTINCT t1.individual_last_name FROM individuals AS t1 JOIN organization_contact_individuals AS t2 ON t1.individual_id = t2.individual_id

Addresses: address_id (INTEGER), line_1_number_building (VARCHAR(80)), town_city (VARCHAR(50)), zip_postcode (VARCHAR(20)), state_province_county (VARCHAR(50)), country (VARCHAR(50)) Services: service_id (INTEGER), service_type_code (VARCHAR(15)), service_name (VARCHAR(80)), service_descriptio (VARCHAR(255)) Forms: form_id (INTEGER), form_type_code (VARCHAR(15)), service_id (INTEGER), form_number (VARCHAR(50)), form_name (VARCHAR(80)), form_description (VARCHAR(255)) Individuals: individual_id (INTEGER), individual_first_name (VARCHAR(80)), individual_middle_name (VARCHAR(80)), inidividual_phone (VARCHAR(80)), individual_email (VARCHAR(80)), individual_address (VARCHAR(255)), individual_last_name (VARCHAR(80)) Organizations: organization_id (INTEGER), date_formed (DATETIME), organization_name (VARCHAR(255)), uk_vat_number (VARCHAR(20)) Parties: party_id (INTEGER), payment_method_code (VARCHAR(15)), party_phone (VARCHAR(80)), party_email (VARCHAR(80)) Organization_Contact_Individuals: individual_id (INTEGER), organization_id (INTEGER), date_contact_from (DATETIME), date_contact_to (DATETIME) Party_Addresses: party_id (INTEGER), address_id (INTEGER), date_address_from (DATETIME), address_type_code (VARCHAR(15)), date_address_to (DATETIME) Party_Forms: party_id (INTEGER), form_id (INTEGER), date_completion_started (DATETIME), form_status_code (VARCHAR(15)), date_fully_completed (DATETIME) Party_Services: booking_id (INTEGER), customer_id (INTEGER), service_id (INTEGER), service_datetime (DATETIME), booking_made_date (DATETIME)

How many drivers are there?

SELECT count(*) FROM driver

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the name, home city, and age for all drivers.

SELECT name , home_city , age FROM driver

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the party and the number of drivers in each party.

SELECT party , count(*) FROM driver GROUP BY party

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the name of drivers in descending order of age.

SELECT name FROM driver ORDER BY age DESC

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show all different home cities.

SELECT DISTINCT home_city FROM driver

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the home city with the most number of drivers.

SELECT home_city FROM driver GROUP BY home_city ORDER BY count(*) DESC LIMIT 1

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the party with drivers from Hartford and drivers older than 40.

SELECT party FROM driver WHERE home_city = 'Hartford' AND age > 40

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show home city where at least two drivers older than 40 are from.

SELECT home_city FROM driver WHERE age > 40 GROUP BY home_city HAVING count(*) >= 2

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show all home cities except for those having a driver older than 40.

SELECT home_city FROM driver EXCEPT SELECT home_city FROM driver WHERE age > 40

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the names of the drivers without a school bus.

SELECT name FROM driver WHERE driver_id NOT IN (SELECT driver_id FROM school_bus)

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the types of schools that have two schools.

SELECT TYPE FROM school GROUP BY TYPE HAVING count(*) = 2

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the school name and driver name for all school buses.

SELECT T2.school , T3.name FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id JOIN driver AS T3 ON T1.driver_id = T3.driver_id

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

What is the maximum, minimum and average years spent working on a school bus?

SELECT max(years_working) , min(years_working) , avg(years_working) FROM school_bus

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the school name and type for schools without a school bus.

SELECT school , TYPE FROM school WHERE school_id NOT IN (SELECT school_id FROM school_bus)

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

Show the type of school and the number of buses for each type.

SELECT T2.type , count(*) FROM school_bus AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T2.type

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)

How many drivers are from Hartford city or younger than 40?

SELECT count(*) FROM driver WHERE home_city = 'Hartford' OR age < 40

driver: Driver_ID (INT), Name (TEXT), Party (TEXT), Home_city (TEXT), Age (INT) school: School_ID (INT), Grade (TEXT), School (TEXT), Location (TEXT), Type (TEXT) school_bus: School_ID (INT), Driver_ID (INT), Years_Working (INT), If_full_time (BOOL)