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In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [1]
In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs.
For instance, when customer data are duplicated and attached with each product bought, then redundancy of data is a known source of inconsistency since a given customer might appear with different values for one or more of their attributes. [4] Data redundancy leads to data anomalies and corruption and generally should be avoided by design; [5 ...
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.
load the int value 2 onto the stack iconst_3 06 0000 0110 → 3 load the int value 3 onto the stack iconst_4 07 0000 0111 → 4 load the int value 4 onto the stack iconst_5 08 0000 1000 → 5 load the int value 5 onto the stack idiv 6c 0110 1100 value1, value2 → result divide two integers if_acmpeq a5 1010 0101 2: branchbyte1, branchbyte2
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Using data access objects (DAOs) offers a clear advantage: it separates two parts of an application that don't need to know about each other. This separation allows them to evolve independently. If business logic changes, it can rely on a consistent DAO interface. Meanwhile, modifications to persistence logic won't affect DAO clients. [2] [3]