Object Vs Data Structure - Clean code chapter6
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The document discusses the differences between objects and data structures. Data structures expose data but usually have no behavior, while objects encapsulate data and expose functions. Procedural code is easier to add new functions to but harder to add new data structures, while object-oriented code is easier to add new classes but harder to add new functions. Combining data structures and objects has the disadvantages of both and is difficult to refactor. The document also discusses the Law of Demeter which limits how deeply methods can call methods of other objects.
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
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Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
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Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
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- Accepted in ASPLOS ‘17, Xi’an, China.
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- 1. Objects & Data Structure Md. MaksudAlamChowdhury
- 5. Data Structure Exposes data Usually No behavior Referred as POJO or POPO in java and python respectively Can have private fields with public accessors Can have navigational methods ( ORM, Active Records ) Should not have business logic
- 6. Object Encapsulates Hides data structures behind Abstraction Expose functions on that data
- 8. ProsAnd Cons
- 13. Pros and Cons ProceduralCode easy to add new functions without changing the existing data structures hard to add new data structures because all the functions must change. OOCode easy to add new classes without changing existing functions. hard to add new functions because all the classes must change.
- 16. Hybrids Combining Data Structure & Object Worst of both worlds Dependencies on attributes Difficult to add function and class Difficult to refactor
- 18. How depth can we go ? Known as Law of Demeter A module should hide objects it manipulates A method ( f ) of class ( C ) can call: → method of ( C ) → method of an object held as instance variable in ( C ) → method of an object passed as argument in ( f ) → method of an object created by ( f )
- 19. Example
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- 21. Questions