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In the context of business expansion, it is important to understand the relationships between user accounts and customers. This SQL code is designed to identify instances where a single user account has multiple contacts with the same customer. This could indicate a strong business relationship, or perhaps a potential issue with duplicate contacts.
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The SQL code uses JOIN operations to combine data from the 'contact', 'user_account', and 'customer' tables. It then uses a GROUP BY clause to group the data by user account and customer. The HAVING clause is used to filter out groups that have a count of 1, meaning we are only interested in user accounts that have multiple contacts with the same customer. The code provides three different solutions to the problem, each with a slightly different approach but achieving the same result.
SELECT contact.user_account_id, user_account.first_name, user_account.last_name, contact.customer_id, customer.customer_name, count(*) as numbers FROM contact as contact JOIN user_account as user_account ON contact.user_account_id = user_account.id JOIN customer as customer ON contact.customer_id = customer.id WHERE (contact.user_account_id, contact.customer_id) IN ( SELECT user_account_id, customer_id FROM contact GROUP BY user_account_id, customer_id HAVING count(*) > 1 ) GROUP BY contact.user_account_id ,contact.customer_id, user_account.first_name, user_account.last_name, customer.customer_name;
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