Steven Skiena writes in The Algorithm Design Manual: “Reasonable-looking algorithms can easily be incorrect. Algorithm correctness is a property that must be carefully demonstrated.” It’s not enough that the code looks right. It’s not enough that the tests pass. You have to demonstrate with benchmarks and with proof that the system does what it should. 576,000 lines and no benchmark. That is not “correctness first, optimization later.” That is no correctness at all.
The team from Pre-Construct Archaeology was working on a building site a few miles from Thetford, Norfolk, when they came across the hoard last year.
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In SQL, we have tables containing individual rows. Tables have strict schemas that every row must obey; there are columns with types and other possible constraints: unique, not null, value checks or references to rows of other tables. Referential integrity lies at the heart of this data approach - guarantee that if row B1 of table B references row A1 of table A, referred row (A1) must exist; orphan rows are not allowed. If we want to delete A1 row, there are two options: