query_id
int64
0
7k
database_id
stringclasses
140 values
table_id
sequencelengths
1
5
query
stringlengths
16
224
answer
stringlengths
18
577
difficulty
stringclasses
4 values
1,500
debate
[ "debate" ]
Show the distinct venues of debates
SELECT DISTINCT Venue FROM debate
easy
1,501
debate
[ "debate", "people", "debate_people" ]
Show the names of people, and dates and venues of debates they are on the affirmative side.
SELECT T3.Name , T2.Date , T2.Venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID
medium
1,502
debate
[ "debate", "people", "debate_people" ]
Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name.
SELECT T3.Name , T2.Date , T2.Venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Negative = T3.People_ID ORDER BY T3.Name ASC
hard
1,503
debate
[ "debate", "people", "debate_people" ]
Show the names of people that are on affirmative side of debates with number of audience bigger than 200.
SELECT T3.Name FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID WHERE T2.Num_of_Audience > 200
hard
1,504
debate
[ "people", "debate_people" ]
Show the names of people and the number of times they have been on the affirmative side of debates.
SELECT T2.Name , COUNT(*) FROM debate_people AS T1 JOIN people AS T2 ON T1.Affirmative = T2.People_ID GROUP BY T2.Name
medium
1,505
debate
[ "people", "debate_people" ]
Show the names of people who have been on the negative side of debates at least twice.
SELECT T2.Name FROM debate_people AS T1 JOIN people AS T2 ON T1.Negative = T2.People_ID GROUP BY T2.Name HAVING COUNT(*) >= 2
medium
1,506
debate
[ "people", "debate_people" ]
List the names of people that have not been on the affirmative side of debates.
SELECT Name FROM people WHERE People_id NOT IN (SELECT Affirmative FROM debate_people)
hard
1,507
insurance_and_eClaims
[ "customers" ]
List the names of all the customers in alphabetical order.
SELECT customer_details FROM customers ORDER BY customer_details
easy
1,508
insurance_and_eClaims
[ "customers" ]
Sort the customer names in alphabetical order.
SELECT customer_details FROM customers ORDER BY customer_details
easy
1,509
insurance_and_eClaims
[ "policies", "customers" ]
Find all the policy type codes associated with the customer "Dayana Robel"
SELECT policy_type_code FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t2.customer_details = "Dayana Robel"
medium
1,510
insurance_and_eClaims
[ "policies", "customers" ]
What are the type codes of the policies used by the customer "Dayana Robel"?
SELECT policy_type_code FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t2.customer_details = "Dayana Robel"
medium
1,511
insurance_and_eClaims
[ "policies" ]
Which type of policy is most frequently used? Give me the policy type code.
SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1
hard
1,512
insurance_and_eClaims
[ "policies" ]
Find the type code of the most frequently used policy.
SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1
hard
1,513
insurance_and_eClaims
[ "policies" ]
Find all the policy types that are used by more than 2 customers.
SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2
easy
1,514
insurance_and_eClaims
[ "policies" ]
Which types of policy are chosen by more than 2 customers? Give me the policy type codes.
SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2
easy
1,515
insurance_and_eClaims
[ "claim_headers" ]
Find the total and average amount paid in claim headers.
SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers
medium
1,516
insurance_and_eClaims
[ "claim_headers" ]
What are the total amount and average amount paid in claim headers?
SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers
medium
1,517
insurance_and_eClaims
[ "claim_headers", "claims_documents" ]
Find the total amount claimed in the most recently created document.
SELECT sum(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date LIMIT 1)
extra
1,518
insurance_and_eClaims
[ "claim_headers", "claims_documents" ]
How much amount in total were claimed in the most recently created document?
SELECT sum(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date LIMIT 1)
extra
1,519
insurance_and_eClaims
[ "customers", "claim_headers", "policies" ]
What is the name of the customer who has made the largest amount of claim in a single claim?
SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_claimed = (SELECT max(amount_claimed) FROM claim_headers)
extra
1,520
insurance_and_eClaims
[ "customers", "claim_headers", "policies" ]
Which customer made the largest amount of claim in a single claim? Return the customer details.
SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_claimed = (SELECT max(amount_claimed) FROM claim_headers)
extra
1,521
insurance_and_eClaims
[ "customers", "claim_headers", "policies" ]
What is the name of the customer who has made the minimum amount of payment in one claim?
SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT min(amount_piad) FROM claim_headers)
extra
1,522
insurance_and_eClaims
[ "customers", "claim_headers", "policies" ]
Which customer made the smallest amount of claim in one claim? Return the customer details.
SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT min(amount_piad) FROM claim_headers)
extra
1,523
insurance_and_eClaims
[ "policies", "customers" ]
Find the names of customers who have no policies associated.
SELECT customer_details FROM customers EXCEPT SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id
hard
1,524
insurance_and_eClaims
[ "policies", "customers" ]
What are the names of customers who do not have any policies?
SELECT customer_details FROM customers EXCEPT SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id
hard
1,525
insurance_and_eClaims
[ "claims_processing_stages" ]
How many claim processing stages are there in total?
SELECT count(*) FROM claims_processing_stages
easy
1,526
insurance_and_eClaims
[ "claims_processing_stages" ]
Find the number of distinct stages in claim processing.
SELECT count(*) FROM claims_processing_stages
easy
1,527
insurance_and_eClaims
[ "claims_processing_stages", "claims_processing" ]
What is the name of the claim processing stage that most of the claims are on?
SELECT t2.claim_status_name FROM claims_processing AS t1 JOIN claims_processing_stages AS t2 ON t1.claim_stage_id = t2.claim_stage_id GROUP BY t1.claim_stage_id ORDER BY count(*) DESC LIMIT 1
extra
1,528
insurance_and_eClaims
[ "claims_processing_stages", "claims_processing" ]
Which claim processing stage has the most claims? Show the claim status name.
SELECT t2.claim_status_name FROM claims_processing AS t1 JOIN claims_processing_stages AS t2 ON t1.claim_stage_id = t2.claim_stage_id GROUP BY t1.claim_stage_id ORDER BY count(*) DESC LIMIT 1
extra
1,529
insurance_and_eClaims
[ "customers" ]
Find the names of customers whose name contains "Diana".
SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"
medium
1,530
insurance_and_eClaims
[ "customers" ]
Which customers have the substring "Diana" in their names? Return the customer details.
SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"
medium
1,531
insurance_and_eClaims
[ "policies", "customers" ]
Find the names of the customers who have an deputy policy.
SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy"
medium
1,532
insurance_and_eClaims
[ "policies", "customers" ]
Which customers have an insurance policy with the type code "Deputy"? Give me the customer details.
SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy"
medium
1,533
insurance_and_eClaims
[ "policies", "customers" ]
Find the names of customers who either have an deputy policy or uniformed policy.
SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy" OR t1.policy_type_code = "Uniform"
hard
1,534
insurance_and_eClaims
[ "policies", "customers" ]
Which customers have an insurance policy with the type code "Deputy" or "Uniform"? Return the customer details.
SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy" OR t1.policy_type_code = "Uniform"
hard
1,535
insurance_and_eClaims
[ "customers", "staff" ]
Find the names of all the customers and staff members.
SELECT customer_details FROM customers UNION SELECT staff_details FROM staff
hard
1,536
insurance_and_eClaims
[ "customers", "staff" ]
What are the names of the customers and staff members?
SELECT customer_details FROM customers UNION SELECT staff_details FROM staff
hard
1,537
insurance_and_eClaims
[ "policies" ]
Find the number of records of each policy type and its type code.
SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code
medium
1,538
insurance_and_eClaims
[ "policies" ]
For each policy type, return its type code and its count in the record.
SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code
medium
1,539
insurance_and_eClaims
[ "policies", "customers" ]
Find the name of the customer that has been involved in the most policies.
SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1
extra
1,540
insurance_and_eClaims
[ "policies", "customers" ]
Which customer have the most policies? Give me the customer details.
SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1
extra
1,541
insurance_and_eClaims
[ "claims_processing_stages" ]
What is the description of the claim status "Open"?
SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open"
easy
1,542
insurance_and_eClaims
[ "claims_processing_stages" ]
Find the description of the claim status "Open".
SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open"
easy
1,543
insurance_and_eClaims
[ "claims_processing" ]
How many distinct claim outcome codes are there?
SELECT count(DISTINCT claim_outcome_code) FROM claims_processing
easy
1,544
insurance_and_eClaims
[ "claims_processing" ]
Count the number of distinct claim outcome codes.
SELECT count(DISTINCT claim_outcome_code) FROM claims_processing
easy
1,545
insurance_and_eClaims
[ "policies", "customers" ]
Which customer is associated with the latest policy?
SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies)
extra
1,546
insurance_and_eClaims
[ "policies", "customers" ]
Find the customer who started a policy most recently.
SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies)
extra
1,547
customers_and_invoices
[ "Accounts" ]
Show the number of accounts.
SELECT count(*) FROM Accounts
easy
1,548
customers_and_invoices
[ "Accounts" ]
How many accounts are there?
SELECT count(*) FROM Accounts
easy
1,549
customers_and_invoices
[ "Accounts" ]
How many customers have opened an account?
SELECT count(DISTINCT customer_id) FROM Accounts
easy
1,550
customers_and_invoices
[ "Accounts" ]
Count the number of customers who have an account.
SELECT count(DISTINCT customer_id) FROM Accounts
easy
1,551
customers_and_invoices
[ "Accounts" ]
Show the id, the date of account opened, the account name, and other account detail for all accounts.
SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts
medium
1,552
customers_and_invoices
[ "Accounts" ]
What are the ids, date opened, name, and other details for all accounts?
SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts
medium
1,553
customers_and_invoices
[ "Accounts", "Customers" ]
Show the id, the account name, and other account details for all accounts by the customer with first name 'Meaghan'.
SELECT T1.account_id , T1.date_account_opened , T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan'
medium
1,554
customers_and_invoices
[ "Accounts", "Customers" ]
What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name "Meaghan"?
SELECT T1.account_id , T1.date_account_opened , T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan'
medium
1,555
customers_and_invoices
[ "Accounts", "Customers" ]
Show the account name and other account detail for all accounts by the customer with first name Meaghan and last name Keeling.
SELECT T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Meaghan" AND T2.customer_last_name = "Keeling"
extra
1,556
customers_and_invoices
[ "Accounts", "Customers" ]
What are the names and other details for accounts corresponding to the customer named Meaghan Keeling?
SELECT T1.account_name , T1.other_account_details FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Meaghan" AND T2.customer_last_name = "Keeling"
extra
1,557
customers_and_invoices
[ "Accounts", "Customers" ]
Show the first name and last name for the customer with account name 900.
SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900"
medium
1,558
customers_and_invoices
[ "Accounts", "Customers" ]
What are the full names of customers with the account name 900?
SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900"
medium
1,559
customers_and_invoices
[ "Accounts", "Customers" ]
How many customers don't have an account?
SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)
extra
1,560
customers_and_invoices
[ "Accounts", "Customers" ]
Count the number of customers who do not have an account.
SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)
extra
1,561
customers_and_invoices
[ "Accounts", "Customers" ]
Show the unique first names, last names, and phone numbers for all customers with any account.
SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id
medium
1,562
customers_and_invoices
[ "Accounts", "Customers" ]
What are the distinct first names, last names, and phone numbers for customers with accounts?
SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id
medium
1,563
customers_and_invoices
[ "Accounts", "Customers" ]
Show customer ids who don't have an account.
SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts
hard
1,564
customers_and_invoices
[ "Accounts", "Customers" ]
What are the customer ids for customers who do not have an account?
SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts
hard
1,565
customers_and_invoices
[ "Accounts" ]
How many accounts does each customer have? List the number and customer id.
SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id
medium
1,566
customers_and_invoices
[ "Accounts" ]
Count the number of accounts corresponding to each customer id.
SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id
medium
1,567
customers_and_invoices
[ "Accounts", "Customers" ]
What is the customer id, first and last name with most number of accounts.
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
extra
1,568
customers_and_invoices
[ "Accounts", "Customers" ]
Return the id and full name of the customer with the most accounts.
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
extra
1,569
customers_and_invoices
[ "Accounts", "Customers" ]
Show id, first name and last name for all customers and the number of accounts.
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id
medium
1,570
customers_and_invoices
[ "Accounts", "Customers" ]
What are the the full names and ids for all customers, and how many accounts does each have?
SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id
medium
1,571
customers_and_invoices
[ "Accounts", "Customers" ]
Show first name and id for all customers with at least 2 accounts.
SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2
medium
1,572
customers_and_invoices
[ "Accounts", "Customers" ]
What are the first names and ids for customers who have two or more accounts?
SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2
medium
1,573
customers_and_invoices
[ "Customers" ]
Show the number of customers.
SELECT count(*) FROM Customers
easy
1,574
customers_and_invoices
[ "Customers" ]
Count the number of customers.
SELECT count(*) FROM Customers
easy
1,575
customers_and_invoices
[ "Customers" ]
Show the number of customers for each gender.
SELECT gender , count(*) FROM Customers GROUP BY gender
medium
1,576
customers_and_invoices
[ "Customers" ]
How many customers are there of each gender?
SELECT gender , count(*) FROM Customers GROUP BY gender
medium
1,577
customers_and_invoices
[ "Financial_transactions" ]
How many transactions do we have?
SELECT count(*) FROM Financial_transactions
easy
1,578
customers_and_invoices
[ "Financial_transactions" ]
Count the number of transactions.
SELECT count(*) FROM Financial_transactions
easy
1,579
customers_and_invoices
[ "Financial_transactions" ]
How many transaction does each account have? Show the number and account id.
SELECT count(*) , account_id FROM Financial_transactions
medium
1,580
customers_and_invoices
[ "Financial_transactions" ]
Count the number of financial transactions that correspond to each account id.
SELECT count(*) , account_id FROM Financial_transactions
medium
1,581
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
How many transaction does account with name 337 have?
SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"
medium
1,582
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
Count the number of financial transactions that the account with the name 337 has.
SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"
medium
1,583
customers_and_invoices
[ "Financial_transactions" ]
What is the average, minimum, maximum, and total transaction amount?
SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions
medium
1,584
customers_and_invoices
[ "Financial_transactions" ]
Return the average, minimum, maximum, and total transaction amounts.
SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions
medium
1,585
customers_and_invoices
[ "Financial_transactions" ]
Show ids for all transactions whose amounts are greater than the average.
SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions)
hard
1,586
customers_and_invoices
[ "Financial_transactions" ]
What are the ids for transactions that have an amount greater than the average amount of a transaction?
SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions)
hard
1,587
customers_and_invoices
[ "Financial_transactions" ]
Show the transaction types and the total amount of transactions.
SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type
medium
1,588
customers_and_invoices
[ "Financial_transactions" ]
What are total transaction amounts for each transaction type?
SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type
medium
1,589
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
Show the account name, id and the number of transactions for each account.
SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id
medium
1,590
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
Return the names and ids of each account, as well as the number of transactions.
SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id
medium
1,591
customers_and_invoices
[ "Financial_transactions" ]
Show the account id with most number of transactions.
SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1
hard
1,592
customers_and_invoices
[ "Financial_transactions" ]
What is the id of the account with the most transactions?
SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1
hard
1,593
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
Show the account id and name with at least 4 transactions.
SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4
medium
1,594
customers_and_invoices
[ "Accounts", "Financial_transactions" ]
What are the ids and names of accounts with 4 or more transactions?
SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4
medium
1,595
customers_and_invoices
[ "Products" ]
Show all product sizes.
SELECT DISTINCT product_size FROM Products
easy
1,596
customers_and_invoices
[ "Products" ]
What are the different product sizes?
SELECT DISTINCT product_size FROM Products
easy
1,597
customers_and_invoices
[ "Products" ]
Show all product colors.
SELECT DISTINCT product_color FROM Products
easy
1,598
customers_and_invoices
[ "Products" ]
What are the different product colors?
SELECT DISTINCT product_color FROM Products
easy
1,599
customers_and_invoices
[ "Financial_transactions" ]
Show the invoice number and the number of transactions for each invoice.
SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number
medium