Is there a name in the OOP world to refer to such objects? For example, in java
"Word".toString();
Will return an output of Word. This is a string representation of the entity that exists currently in the program.
Some more examples can be accomplished with other datatypes like Doubles, Integers, maybe even lists or different data structures.
And some other more complex that cannot be represented in this way, for example a full fledged RESTful service class might not have a string representation of its current state.
What's the right terminology? native? immutable? those 2 last terms doesn't really reflect this definition.
To expand on the question:
Imagine you have a function/method that converts a string to a map, a string could be {key1=value1,key2=value2} and you would get a map back, this doesn't work for some complex objects, how would you describe the parameters of this function if you were to generalize it's use for other simple object types?
You have an abstract object that consists of internal state.
You have one or more concrete representations of that object's state.
In one case the concrete representation is a chunk of memory containing primitives and references to other component objects on the heap (in Java, other languages may be different).
You have a different representation that is amenable to being stored in a contiguous block of characters or bytes, and possibly transmitted over a network.
Both representations are canonically equivalent given equivalent contexts containing their non-state information (methods, class hierarchy, etc), but they serve different purposes.
Generically, this could be called a "change of representation". When the first representation above is converted to the second it's called "serialization", and the reverse process is "deserialization". Note that you could have many different representations fulfilling different requirements and supporting different functionality.
One important point to note is that in both cases, in-memory and "serialized" (and any other representations), if an object's state contains references to other objects, then the entire "state" consists of that object and all the objects that can be reached from it, and objects reachable from those objects, etc. This is known as an "object graph", and it exists equally in all representations.
As to deciding which one you should or shouldn't use, that depends totally on your processing requirements.
for example a full fledged RESTful service class might not have a string representation of its current state
This is incorrect, you can always define a serialized representation of an object's state. It may be inconvenient to do so, but if it is required it can be done.
Imagine you have a function/method that converts a string to a map, a string could be {key1=value1,key2=value2} and you would get a map back, this doesn't work for some complex objects
Again, it can always be made to work if it is a requirement, as long as the cost of doing so is justified.
In summary, everything is a representation, and you can arrange to transform one representation to any other and back again, without loss, assuming you're willing to incur the costs of doing so. As mentioned above, one factor is the cost of representing not just the single object, but the entire object graph, which can be substantial.
Using c++ CLI, is it recommended not to use tracking handle for value class?
for example
value class Point {
};
Point p;
or Point ^p;
C++/CLI permits that syntax, unfortunately, it cannot be expressed directly in other managed languages. You end up with the value getting boxed in an object and stored on the GC heap. Every assignment will box, reading the value unboxes it again. That's quite expensive and 99.9% of the time is the wrong thing to do. The point of value types is to make your code fast, avoiding the extra indirection through an object reference and taking advantage of processor registers. A value type value like Point fits in two registers.
By declaring it as a handle, you get the disadvantage of a ref class but add the expense of having to unbox the value every time you retrieve a member of the value type. It therefore makes no sense to do this at all, if you need a Point class with reference type semantics then just declare a ref class Point and entirely avoid the un/boxing cost. C++/CLI has a few design flaws, induced by trying make it match native C++ semantics. This is one of them.
So no, this is not recommended.
TLDR summary: (a) Should I include (lengthy) method code in classes which may spawn multiple objects at runtime, (b) does doing so cause memory usage bloat, (c) if so should I "outsource" the code to a class that is loaded only once and have the class methods call that, or alternatively (d) does the code get loaded only once with the object definition anyway and I'm worrying about nothing?
........
I don't know whether there's a good answer to this but if there is I haven't found it yet by searching in the usual places.
In my VB.Net (2010 if it matters) WinForms project I have about a dozen or so class objects in an object model. Some of these are pretty simple and do little more than act as data storage repositories. The ones further up the object model, however, have an increasing number of methods. There can be a significant number of higher level objects in use though the exact number will be runtime dependent so I can't be more precise than that.
As I was writing the method code for one of the top level ones I noticed that it was starting to get quite lengthy.
Memory optimisation is something of a lost art given how much memory the average PC has these days but I don't want to make my application a resource hog. So my questions for anyone who knows .Net way better than I do (of which there will be many) are:
Is the code loaded into memory with each instance of the class that's created?
Alternatively is it loaded only once with the definition of the class, and all derived objects just refer to that definition? (I'm not really sure how that could be possible given that, for example, event handlers can be assigned dynamically, but no harm asking.)
If the answer to the first one is yes, would it be more efficient to write the code in a "utility" object which is loaded only once and called from the real class' methods?
Any thoughts appreciated.
Go with whichever is going to be the easier to maintain codebase (shorter methods, etc). That is the more important cost with anything that has increasing complexity.
Memory optimization is only a problem if its a problem. 12 classes is really nothing, when you have hundreds of instances of hundreds of classes, then it may become a problem.
The short answer, it doesn't matter. Your data is stored in memory but your code is loaded only once.
EDIT: I guess I need a longer answer.
If you have 10 instances of a class, the variables that are part of that instance all take up thier own memory space. So if you have 10 properties, variables, etc, that means you have 100(ish) items in your memory. As for your code, it was loaded just once with your assembly. If you create 10 instances of your class, your code is not in memory 10 times.
I have a "parent" Obj-C object containing (in a collection) a bunch of objects whose instance variables point to one another, possibly circularly (fear not, no retaining going on between these "siblings"). I write the parent object to XML, which of course involves (among other things) writing out its "children", in no particular order, and due to the possible circularity, I replace these references between the children with unique IDs that each child has.
The problem is reading this XML back in... as I create one "child", I come across an ID, but there's no guarantee the object it refers to has been created yet. Since the references are possibly circular, there isn't even an order in which to read them that solves this problem.
What do I do? My current solution is to replace (in the actual instance variables) the references with strings containing the unique IDs. This is nasty, though, because to use these instance variables, instead of something like [oneObject aSibling] I now have to do something like [theParent childWithID:[oneObject aSiblingID]]. I suppose I could create an aSibling method to simplify things, but it feels like there's a cleaner way than all this. Is there?
This sounds an awful lot like you are re-inventing NSCoding as it handles circular references, etc... Now, there might be a good reason to re-invent that wheel. Only you can answer that question.
In any case, sounds like you want a two pass unarchival process.
Pass 1: Grab all the objects out of the backing store and reconstitute. As each object comes out, shove it in a dictionary or map with the UID as the key. Whenever an object contains a UID, register the object as needing to be fixed up; add it to a set or array that you keep around during unarchival.
Pass 2: Walk the set or array of objects that need to be fixed up and fix 'em up, replacing the UIDs with objects from the map you built in pass #1.
I hit a bit of parse error on that last paragraph. Assuming your classes are sensibly declared, they ought to be able to repair themselves on the fly.
(All things considered, this is exactly the kind of data structure that is much easier to implement in a GC'd environment. If you are targeting Mac OS X, not the iPhone, turning on GC is going to make your life easier, most likely)
Java's serialization process does much the same thing. Every object it writes out, it puts in a 'previously seen objects' table. When it comes to writing out a subsequent reference, if it's seen the object before, then it writes out a code which indicates that it's a previously seen object from the list. When the reverse occurs, whenever it sees such a reference, it replaces it on the fly with the instance before.
That approach means that you don't have to use this map for all instances, but rather the substitution happens only for objects you've seen a second time. However, you still need to be able to uniquely reference the first instance you've got written, whether by some pointer to a part in the data structure or not is dependent on what you're writing.
I'm trying to get my head around mutable vs immutable objects. Using mutable objects gets a lot of bad press (e.g. returning an array of strings from a method) but I'm having trouble understanding what the negative impacts are of this. What are the best practices around using mutable objects? Should you avoid them whenever possible?
Well, there are a few aspects to this.
Mutable objects without reference-identity can cause bugs at odd times. For example, consider a Person bean with a value-based equals method:
Map<Person, String> map = ...
Person p = new Person();
map.put(p, "Hey, there!");
p.setName("Daniel");
map.get(p); // => null
The Person instance gets "lost" in the map when used as a key because its hashCode and equality were based upon mutable values. Those values changed outside the map and all of the hashing became obsolete. Theorists like to harp on this point, but in practice I haven't found it to be too much of an issue.
Another aspect is the logical "reasonability" of your code. This is a hard term to define, encompassing everything from readability to flow. Generically, you should be able to look at a piece of code and easily understand what it does. But more important than that, you should be able to convince yourself that it does what it does correctly. When objects can change independently across different code "domains", it sometimes becomes difficult to keep track of what is where and why ("spooky action at a distance"). This is a more difficult concept to exemplify, but it's something that is often faced in larger, more complex architectures.
Finally, mutable objects are killer in concurrent situations. Whenever you access a mutable object from separate threads, you have to deal with locking. This reduces throughput and makes your code dramatically more difficult to maintain. A sufficiently complicated system blows this problem so far out of proportion that it becomes nearly impossible to maintain (even for concurrency experts).
Immutable objects (and more particularly, immutable collections) avoid all of these problems. Once you get your mind around how they work, your code will develop into something which is easier to read, easier to maintain and less likely to fail in odd and unpredictable ways. Immutable objects are even easier to test, due not only to their easy mockability, but also the code patterns they tend to enforce. In short, they're good practice all around!
With that said, I'm hardly a zealot in this matter. Some problems just don't model nicely when everything is immutable. But I do think that you should try to push as much of your code in that direction as possible, assuming of course that you're using a language which makes this a tenable opinion (C/C++ makes this very difficult, as does Java). In short: the advantages depend somewhat on your problem, but I would tend to prefer immutability.
Immutable Objects vs. Immutable Collections
One of the finer points in the debate over mutable vs. immutable objects is the possibility of extending the concept of immutability to collections. An immutable object is an object that often represents a single logical structure of data (for example an immutable string). When you have a reference to an immutable object, the contents of the object will not change.
An immutable collection is a collection that never changes.
When I perform an operation on a mutable collection, then I change the collection in place, and all entities that have references to the collection will see the change.
When I perform an operation on an immutable collection, a reference is returned to a new collection reflecting the change. All entities that have references to previous versions of the collection will not see the change.
Clever implementations do not necessarily need to copy (clone) the entire collection in order to provide that immutability. The simplest example is the stack implemented as a singly linked list and the push/pop operations. You can reuse all of the nodes from the previous collection in the new collection, adding only a single node for the push, and cloning no nodes for the pop. The push_tail operation on a singly linked list, on the other hand, is not so simple or efficient.
Immutable vs. Mutable variables/references
Some functional languages take the concept of immutability to object references themselves, allowing only a single reference assignment.
In Erlang this is true for all "variables". I can only assign objects to a reference once. If I were to operate on a collection, I would not be able to reassign the new collection to the old reference (variable name).
Scala also builds this into the language with all references being declared with var or val, vals only being single assignment and promoting a functional style, but vars allowing a more C-like or Java-like program structure.
The var/val declaration is required, while many traditional languages use optional modifiers such as final in java and const in C.
Ease of Development vs. Performance
Almost always the reason to use an immutable object is to promote side effect free programming and simple reasoning about the code (especially in a highly concurrent/parallel environment). You don't have to worry about the underlying data being changed by another entity if the object is immutable.
The main drawback is performance. Here is a write-up on a simple test I did in Java comparing some immutable vs. mutable objects in a toy problem.
The performance issues are moot in many applications, but not all, which is why many large numerical packages, such as the Numpy Array class in Python, allow for In-Place updates of large arrays. This would be important for application areas that make use of large matrix and vector operations. This large data-parallel and computationally intensive problems achieve a great speed-up by operating in place.
Immutable objects are a very powerful concept. They take away a lot of the burden of trying to keep objects/variables consistent for all clients.
You can use them for low level, non-polymorphic objects - like a CPoint class - that are used mostly with value semantics.
Or you can use them for high level, polymorphic interfaces - like an IFunction representing a mathematical function - that is used exclusively with object semantics.
Greatest advantage: immutability + object semantics + smart pointers make object ownership a non-issue, all clients of the object have their own private copy by default. Implicitly this also means deterministic behavior in the presence of concurrency.
Disadvantage: when used with objects containing lots of data, memory consumption can become an issue. A solution to this could be to keep operations on an object symbolic and do a lazy evaluation. However, this can then lead to chains of symbolic calculations, that may negatively influence performance if the interface is not designed to accommodate symbolic operations. Something to definitely avoid in this case is returning huge chunks of memory from a method. In combination with chained symbolic operations, this could lead to massive memory consumption and performance degradation.
So immutable objects are definitely my primary way of thinking about object-oriented design, but they are not a dogma.
They solve a lot of problems for clients of objects, but also create many, especially for the implementers.
Check this blog post: http://www.yegor256.com/2014/06/09/objects-should-be-immutable.html. It explains why immutable objects are better than mutable. In short:
immutable objects are simpler to construct, test, and use
truly immutable objects are always thread-safe
they help to avoid temporal coupling
their usage is side-effect free (no defensive copies)
identity mutability problem is avoided
they always have failure atomicity
they are much easier to cache
You should specify what language you're talking about. For low-level languages like C or C++, I prefer to use mutable objects to conserve space and reduce memory churn. In higher-level languages, immutable objects make it easier to reason about the behavior of the code (especially multi-threaded code) because there's no "spooky action at a distance".
A mutable object is simply an object that can be modified after it's created/instantiated, vs an immutable object that cannot be modified (see the Wikipedia page on the subject). An example of this in a programming language is Pythons lists and tuples. Lists can be modified (e.g., new items can be added after it's created) whereas tuples cannot.
I don't really think there's a clearcut answer as to which one is better for all situations. They both have their places.
Shortly:
Mutable instance is passed by reference.
Immutable instance is passed by value.
Abstract example. Lets suppose that there exists a file named txtfile on my HDD. Now, when you are asking me to give you the txtfile file, I can do it in the following two modes:
I can create a shortcut to the txtfile and pass shortcut to you, or
I can do a full copy of the txtfile file and pass copied file to you.
In the first mode, the returned file represents a mutable file, because any change into the shortcut file will be reflected into the original one as well, and vice versa.
In the second mode, the returned file represents an immutable file, because any change into the copied file will not be reflected into the original one, and vice versa.
If a class type is mutable, a variable of that class type can have a number of different meanings. For example, suppose an object foo has a field int[] arr, and it holds a reference to a int[3] holding the numbers {5, 7, 9}. Even though the type of the field is known, there are at least four different things it can represent:
A potentially-shared reference, all of whose holders care only that it encapsulates the values 5, 7, and 9. If foo wants arr to encapsulate different values, it must replace it with a different array that contains the desired values. If one wants to make a copy of foo, one may give the copy either a reference to arr or a new array holding the values {1,2,3}, whichever is more convenient.
The only reference, anywhere in the universe, to an array which encapsulates the values 5, 7, and 9. set of three storage locations which at the moment hold the values 5, 7, and 9; if foo wants it to encapsulate the values 5, 8, and 9, it may either change the second item in that array or create a new array holding the values 5, 8, and 9 and abandon the old one. Note that if one wanted to make a copy of foo, one must in the copy replace arr with a reference to a new array in order for foo.arr to remain as the only reference to that array anywhere in the universe.
A reference to an array which is owned by some other object that has exposed it to foo for some reason (e.g. perhaps it wants foo to store some data there). In this scenario, arr doesn't encapsulate the contents of the array, but rather its identity. Because replacing arr with a reference to a new array would totally change its meaning, a copy of foo should hold a reference to the same array.
A reference to an array of which foo is the sole owner, but to which references are held by other object for some reason (e.g. it wants to have the other object to store data there--the flipside of the previous case). In this scenario, arr encapsulates both the identity of the array and its contents. Replacing arr with a reference to a new array would totally change its meaning, but having a clone's arr refer to foo.arr would violate the assumption that foo is the sole owner. There is thus no way to copy foo.
In theory, int[] should be a nice simple well-defined type, but it has four very different meanings. By contrast, a reference to an immutable object (e.g. String) generally only has one meaning. Much of the "power" of immutable objects stems from that fact.
Mutable collections are in general faster than their immutable counterparts when used for in-place
operations.
However, mutability comes at a cost: you need to be much more careful sharing them between
different parts of your program.
It is easy to create bugs where a shared mutable collection is updated
unexpectedly, forcing you to hunt down which line in a large codebase is performing the unwanted update.
A common approach is to use mutable collections locally within a function or private to a class where there
is a performance bottleneck, but to use immutable collections elsewhere where speed is less of a concern.
That gives you the high performance of mutable collections where it matters most, while not sacrificing
the safety that immutable collections give you throughout the bulk of your application logic.
If you return references of an array or string, then outside world can modify the content in that object, and hence make it as mutable (modifiable) object.
Immutable means can't be changed, and mutable means you can change.
Objects are different than primitives in Java. Primitives are built in types (boolean, int, etc) and objects (classes) are user created types.
Primitives and objects can be mutable or immutable when defined as member variables within the implementation of a class.
A lot of people people think primitives and object variables having a final modifier infront of them are immutable, however, this isn't exactly true. So final almost doesn't mean immutable for variables. See example here
http://www.siteconsortium.com/h/D0000F.php.
General Mutable vs Immutable
Unmodifiable - is a wrapper around modifiable. It guarantees that it can not be changed directly(but it is possibly using backing object)
Immutable - state of which can not be changed after creation. Object is immutable when all its fields are immutable. It is a next step of Unmodifiable object
Thread safe
The main advantage of Immutable object is that it is a naturally for concurrent environment. The biggest problem in concurrency is shared resource which can be changed any of thread. But if an object is immutable it is read-only which is thread safe operation. Any modification of an original immutable object return a copy
source of truth, side-effects free
As a developer you are completely sure that immutable object's state can not be changed from any place(on purpose or not). For example if a consumer uses immutable object he is able to use an original immutable object
compile optimisation
Improve performance
Disadvantage:
Copying of object is more heavy operation than changing a mutable object, that is why it has some performance footprint
To create an immutable object you should use:
1. Language level
Each language contains tools to help you with it. For example:
Java has final and primitives
Swift has let and struct[About].
Language defines a type of variable. For example:
Java has primitive and reference type,
Swift has value and reference type[About].
For immutable object more convenient is primitives and value type which make a copy by default. As for reference type it is more difficult(because you are able to change object's state out of it) but possible. For example you can use clone pattern on a developer level to make a deep(instead of shallow) copy.
2. Developer level
As a developer you should not provide an interface for changing state
[Swift] and [Java] immutable collection