Display the list of students who are involved in the IT club Display the details of all the activities that have taken place in 'Salalah Hall'
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Write the appropriate SQL query for each of the following questions:
- Display the list of students who are involved in the IT club
- Display the details of all the activities that have taken place in 'Salalah Hall'
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- The following query is written in relational algebra.Project[Deposit.aid,Deposit.amount](Select[Deposit.amount>=10000]( Join[aid=aid](Account,Deposit)))Our database system includes the implementation of B+ tree indexes solely. Assume wehave indexes on primary keys of tables and an index on Deposit.amount.Which join algorithm reads less number of pages from the disk: sort-merge join or indexnested loops join?Consider the following database in Prolog:birthday(tom).birthday(fred).birthday(helen),birthday(jack).happy(mary).happy(jane).happy(helen).happy(albert).attendparty(jane).attendparty(helen).hold_party(X): - birthday(X), happy(X) What would be the answer to the following query??- hold party(Who) a. Who = jane.b. Who = mary.c. Who = helen.d. All of the above.e. Who cannot be unified / instantiated.Just return SQL code/query with proper functions for each of the following. No output needed. Database Schema: Beers(name, manf)Bars(name,addr,license)Drinkers(name,addr,phone)Likes(drinker, beer)Sells(bar,beer,price)Frequents(drinker, bar) 1. Find all distinct drinkers whose phone numbers come from area code 917 and who like Budweiser or Bud (synonim!) 2. What beers does Mike like? 3. Which town has the most drinkers? 4. What bars are frequented by drinkers from that town (3)? 5. Provide all bars which serve beers that Mike likes 6. Who likes at least one same beer that Joe or Mike like? 7. All bars which sell at least one beer which is liked by at least one drinker who frequents these bars 8. Drinkers who like some beers sold by Caravan bar 9. Bars which sell Budweiser and are frequented by some drinkers who like Budweiser 10. Bars which are frequented by Mike and Steve 11. Drinker who like at least two beers that Mike likes 12. Bars which sell at least 3 beers that Mike likes (do…