“Show completed orders from Mumbai above ₹500” “Get customers from Mumbai or Delhi” “Exclude cancelled orders” “Find customers whose name contains ‘a’” Now we’re dealing with logic, not just filtering ...
— Non Member: Pls take a look here! The end-of-month report broke and corrupted the data: I just needed a simple customer lifetime value metric. Joined customers to invoices, then to line items.
Through the many changes in IT over the years, one constant has always been a concern for performance. With database systems there is especially true. Even with the many advances in relational ...
A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...
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