Coarse-grained vs fine-grained

Question

What is the difference between coarse-grained and fine-grained   I have searched these terms on Google  but I couldn t find what they mean

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In term of dataset like a text file  Coarse-grained meaning we can transform the whole dataset but not an individual element on the dataset While fine-grained means we can transform individual element on the dataset

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Coarse-grained granularity does not always mean bigger components  if you go by literally meaning of the word coarse  it means harsh  or not appropriate  e g  In software projects management  if you breakdown a small system into few components  which are equal in size  but varies in complexities and features  this could lead to a coarse-grained granularity  In reverse  for a fine-grained breakdown  you would divide the components based on their cohesiveness of the functionalities each component is providing

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Corse-grained services provides broader functionalities as compared to fine-grained service  Depending on the business domain  a single service can be created to serve a single business unit or specialised multiple fine-grained services can be created if subunits are largely independent of each other   Coarse grained service may get more difficult may be less adaptable to change due to its size while fine-grained service may introduce additional complexity of managing multiple services

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In the terms of POS  Part of Speech  Tag   Fine-grained - Using Penn Treebank Tagset which have 36 different tag Coarse-grained - Using Universal Tagset which have 12 different tag

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Coarse-grained  A few ojects hold a lot of related data that s why services have broader scope in functionality  Example  A single  Account  object holds the customer name  address  account balance  opening date  last change date  etc   Thus  Increased design complexity  smaller number of cells to various operations  Fine-grained  More objects each holding less data that s why services have more narrow scope in functionality  Example  An Account object holds balance  a Customer object holds name and address  a AccountOpenings object holds opening date  etc   Thus  Decreased design complexity   higher number of cells to various service operations  These are relationships defined between these objects

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One more way to understand would be to think in terms of communication between processes and threads  Processes communicate with the help of coarse grained communication mechanisms like sockets  signal handlers  shared memory  semaphores and files  Threads  on the other hand  have access to shared memory space that belongs to a process  which allows them to apply finer grain communication mechanisms    Source  Java concurrency in practice

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Coarse-grained and Fine-grained both think about optimizing a number of servicess  But the difference is in the level  I like to explain with an example  you will understand easily   Fine-grained  For example  I have 100 services like findbyId  findbyCategry  findbyName       so on  Instead of that many services why we can not provide find id  category  name    so on   So this way we can reduce the services  This is just an example  but the goal is how to optimize the number of services   Coarse-grained  For example  I have 100 clients  each client have their own set of 100 services  So I have to provide 100 100 total services  It is very much difficult  Instead of that what I do is  I identify all common services which apply to most of the clients as one service set and remaining separately  For example in 100 services 50 services are common  So I have to manage 100 50   50 only

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coarse grained and fine grained  Both of these modes define how the cores are shared between multiple Spark tasks  As the name suggests  fine-grained mode is responsible for sharing the cores at a more granular level  Fine-grained mode has been deprecated by Spark and will soon be removed

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From Wikipedia  granularity       Granularity is the extent to which a   system is broken down into small   parts  either the system itself or its   description or observation  It is the   extent to which a larger entity is   subdivided  For example  a yard broken   into inches has finer granularity than   a yard broken into feet       Coarse-grained systems consist of   fewer  larger components than   fine-grained systems  a coarse-grained   description of a system regards large   subcomponents while a fine-grained   description regards smaller components   of which the larger ones are composed

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In simple terms   Coarse-grained - larger components than fine-grained  large subcomponents  Simply wraps one or more fine-grained services together into a more coarse  -grained operation   Fine-grained  - smaller components of which the larger ones are composed  lower  level service   It is better to have more coarse-grained service operations  which are composed by fine-grained operations

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In the context of services   http   en wikipedia org wiki Service Granularity Principle     By definition a coarse-grained service operation has broader scope   than a fine-grained service  although the terms are relative  The   former typically requires increased design complexity but can reduce   the number of calls required to complete a task    A fine grained service interface is about the same like chatty interface

[terminology] Coarse-grained vs fine-grained

Examples related to terminology

Examples related to granularity