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Elegant way to return variable before new variable assignment?

This might sound like a dumb question, because it might be no other way to do this. After designing my own list, this sort of "issue" came up in multiple occasions. To clarify, I have a problem with returning a cached variable after assigning new value to the original variable. Here's an example:
public T next() {
final Node<T> thisNode = posNode;
posNode = posNode.getNext();
return thisNode.getData();
}
This might seem like a non-issue, but occasionally multiple variables has to be cached before returning a valid value. I do not really like it, because personally I think it reduces the code's readability, especially when caching multiple variables.
Is there another way to write this code while maintaining its functionality? Basically a way to assign a new value to a variable after the return statement:
public T next() {
return posNode.getData();
posNode = posNode.getNext();
}
Thanks! :)

The second way is not possible as the code is not reachable after return. And your first way is the best way far you to achieve what you are looking for and it is not code smell. Often they refer as temp variables. Use them and better convey a message to the code reader by better naming convention. For ex tempPosNode

An elegant (but with some cognitive dissonance) option is a dummy method.
public static <T> T first(T first, Object... theRest) {
return first;
}
public T next() {
return first(posNode.getData(), posNode = posNode.getNext());
}

You can use a finally block to execute it, but it will execute even after exceptions:
public T next() {
try {
return posNode.getData();
} finally {
posNode = posNode.getNext();
}
}

Java class: limit instance variable to one of several possible values, depending on other instance variables

I am sorry for the vague question. I am not sure what I'm looking for here.
I have a Java class, let's call it Bar. In that class is an instance variable, let's call it foo. foo is a String.
foo cannot just have any value. There is a long list of strings, and foo must be one of them.
Then, for each of those strings in the list I would like the possibility to set some extra conditions as to whether that specific foo can belong in that specific type of Bar (depending on other instance variables in that same Bar).
What approach should I take here? Obviously, I could put the list of strings in a static class somewhere and upon calling setFoo(String s) check whether s is in that list. But that would not allow me to check for extra conditions - or I would need to put all that logic for every value of foo in the same method, which would get ugly quickly.
Is the solution to make several hundred classes for every possible value of foo and insert in each the respective (often trivial) logic to determine what types of Bar it fits? That doesn't sound right either.
What approach should I take here?
Here's a more concrete example, to make it more clear what I am looking for. Say there is a Furniture class, with a variable material, which can be lots of things, anything from mahogany to plywood. But there is another variable, upholstery, and you can make furniture containing cotton of plywood but not oak; satin furniture of oak but not walnut; other types of fabric go well with any material; et cetera.

I wouldn't suggest creating multiple classes/templates for such a big use case. This is very opinion based but I'll take a shot at answering as best as I can.
In such a case where your options can be numerous and you want to keep a maintainable code base, the best solution is to separate the values and the logic. I recommend that you store your foo values in a database. At the same time, keep your client code as clean and small as possible. So that it doesn't need to filter through the data to figure out which data is valid. You want to minimize dependency to data in your code. Think of it this way: tomorrow you might need to add a new material to your material list. Do you want to modify all your code for that? Or do you want to just add it to your database and everything magically works? Obviously the latter is a better option. Here is an example on how to design such a system. Of course, this can vary based on your use case or variables but it is a good guideline. The basic rule of thumb is: your code should have as little dependency to data as possible.
Let's say you want to create a Bar which has to have a certain foo. In this case, I would create a database for BARS which contains all the possible Bars. Example:
ID NAME FOO
1 Door 1,4,10
I will also create a database FOOS which contains the details of each foo. For example:
ID NAME PROPERTY1 PROPERTY2 ...
1 Oak Brown Soft
When you create a Bar:
Bar door = new Bar(Bar.DOOR);
in the constructor you would go to the BARS table and query the foos. Then you would query the FOOS table and load all the material and assign them to the field inside your new object.
This way whenever you create a Bar the material can be changed and loaded from DB without changing any code. You can add as many types of Bar as you can and change material properties as you goo. Your client code however doesn't change much.
You might ask why do we create a database for FOOS and refer to it's ids in the BARS table? This way, you can modify the properties of each foo as much as you want. Also you can share foos between Bars and vice versa but you only need to change the db once. cross referencing becomes a breeze. I hope this example explains the idea clearly.

You say:
Is the solution to make several hundred classes for every possible
value of foo and insert in each the respective (often trivial) logic
to determine what types of Bar it fits? That doesn't sound right
either.
Why not have separate classes for each type of Foo? Unless you need to define new types of Foo without changing the code you can model them as plain Java classes. You can go with enums as well but it does not really give you any advantage since you still need to update the enum when adding a new type of Foo.
In any case here is type safe approach that guarantees compile time checking of your rules:
public static interface Material{}
public static interface Upholstery{}
public static class Oak implements Material{}
public static class Plywood implements Material{}
public static class Cotton implements Upholstery{}
public static class Satin implements Upholstery{}
public static class Furniture<M extends Material, U extends Upholstery>{
private M matrerial = null;
private U upholstery = null;
public Furniture(M matrerial, U upholstery){
this.matrerial = matrerial;
this.upholstery = upholstery;
}
public M getMatrerial() {
return matrerial;
}
public U getUpholstery() {
return upholstery;
}
}
public static Furniture<Plywood, Cotton> cottonFurnitureWithPlywood(Plywood plywood, Cotton cotton){
return new Furniture<>(plywood, cotton);
}
public static Furniture<Oak, Satin> satinFurnitureWithOak(Oak oak, Satin satin){
return new Furniture<>(oak, satin);
}

It depends on what you really want to achieve. Creating objects and passing them around will not magically solve your domain-specific problems.
If you cannot think of any real behavior to add to your objects (except the validation), then it might make more sense to just store your data and read them into memory whenever you want. Even treat rules as data.
Here is an example:
public class Furniture {
String name;
Material material;
Upholstery upholstery;
//getters, setters, other behavior
public Furniture(String name, Material m, Upholstery u) {
//Read rule files from memory or disk and do all the checks
//Do not instantiate if validation does not pass
this.name = name;
material = m;
upholstery = u;
}
}
To specify rules, you will then create three plain text files (e.g. using csv format). File 1 will contain valid values for material, file 2 will contain valid values for upholstery, and file 3 will have a matrix format like the following:
upholstery\material plywood mahogany oak
cotton 1 0 1
satin 0 1 0
to check if a material goes with an upholstery or not, just check the corresponding row and column.
Alternatively, if you have lots of data, you can opt for a database system along with an ORM. Rule tables then can be join tables and come with extra nice features a DBMS may provide (like easy checking for duplicate values). The validation table could look something like:
MaterialID UpholsteryID Compatability_Score
plywood cotton 1
oak satin 0
The advantage of using this approach is that you quickly get a working application and you can decide what to do as you add new behavior to your application. And even if it gets way more complex in the future (new rules, new data types, etc) you can use something like the repository pattern to keep your data and business logic decoupled.
Notes about Enums:
Although the solution suggested by #Igwe Kalu solves the specific case described in the question, it is not scalable. What if you want to find what material goes with a given upholstery (the reverse case)? You will need to create another enum which does not add anything meaningful to the program, or add complex logic to your application.

This is a more detailed description of the idea I threw out there in the comment:
Keep Furniture a POJO, i.e., just hold the data, no behavior or rules implemented in it.
Implement the rules in separate classes, something along the lines of:
interface FurnitureRule {
void validate(Furniture furniture) throws FurnitureRuleException;
}
class ValidMaterialRule implements FurnitureRule {
// this you can load in whatever way suitable in your architecture -
// from enums, DB, an XML file, a JSON file, or inject via Spring, etc.
private Set<String> validMaterialNames;
#Overload
void validate(Furniture furniture) throws FurnitureRuleException {
if (!validMaterialNames.contains(furniture.getMaterial()))
throws new FurnitureRuleException("Invalid material " + furniture.getMaterial());
}
}
class UpholsteryRule implements FurnitureRule {
// Again however suitable to implement/config this
private Map<String, Set<String>> validMaterialsPerUpholstery;
#Overload
void validate(Furniture furniture) throws FurnitureRuleException {
Set<String> validMaterialNames = validMaterialsPerUpholstery.get(furniture.getUpholstery();
if (validMaterialNames != null && !validMaterialNames.contains(furniture.getMaterial()))
throws new FurnitureRuleException("Invalid material " + furniture.getMaterial() + " for upholstery " + furniture.getUpholstery());
}
}
// and more complex rules if you need to
Then have some service along the lines of FurnitureManager. It's the "gatekeeper" for all Furniture creation/updates:
class FurnitureManager {
// configure these via e.g. Spring.
private List<FurnitureRule> rules;
public void updateFurniture(Furniture furniture) throws FurnitureRuleException {
rules.forEach(rule -> rule.validate(furniture))
// proceed to persist `furniture` in the database or whatever else you do with a valid piece of furniture.
}
}

material should be of type Enum.
public enum Material {
MAHOGANY,
TEAK,
OAK,
...
}
Furthermore you can have a validator for Furniture that contains the logic which types of Furniture make sense, and then call that validator in every method that can change the material or upholstery variable (typically only your setters).
public class Furniture {
private Material material;
private Upholstery upholstery; //Could also be String depending on your needs of course
public void setMaterial(Material material) {
if (FurnitureValidator.isValidCombination(material, this.upholstery)) {
this.material = material;
}
}
...
private static class FurnitureValidator {
private static boolean isValidCombination(Material material, Upholstery upholstery) {
switch(material) {
case MAHOGANY: return upholstery != Upholstery.COTTON;
break;
//and so on
}
}
}
}

We often are oblivious of the power inherent in enum types. The Java™ Tutorials clearly states "you should use enum types any time you need to represent a fixed set of constants."
How do you simply make the best of enum in resolving the challenge you presented? - Here goes:
public enum Material {
MAHOGANY( "satin", "velvet" ),
PLYWOOD( "leather" ),
// possibly many other materials and their matching fabrics...
OAK( "some other fabric - 0" ),
WALNUT( "some other fabric - 0", "some other fabric - 1" );
private final String[] listOfSuitingFabrics;
Material( String... fabrics ) {
this.listOfSuitingFabrics = fabrics;
}
String[] getListOfSuitingFabrics() {
return Arrays.copyOf( listOfSuitingFabrics );
}
public String toString() {
return name().substring( 0, 1 ) + name().substring( 1 );
}
}
Let's test it:
public class TestMaterial {
for ( Material material : Material.values() ) {
System.out.println( material.toString() + " go well with " + material.getListOfSuitingFabrics() );
}
}

Probably the approach I'd use (because it involves the least amount of code and it's reasonably fast) is to "flatten" the hierarchical logic into a one-dimensional Set of allowed value combinations. Then when setting one of the fields, validate that the proposed new combination is valid. I'd probably just use a Set of concatenated Strings for simplicity. For the example you give above, something like this:
class Furniture {
private String wood;
private String upholstery;
/**
* Set of all acceptable values, with each combination as a String.
* Example value: "plywood:cotton"
*/
private static final Set<String> allowed = new HashSet<>();
/**
* Load allowed values in initializer.
*
* TODO: load allowed values from DB or config file
* instead of hard-wiring.
*/
static {
allowed.add("plywood:cotton");
...
}
public void setWood(String wood) {
if (!allowed.contains(wood + ":" + this.upholstery)) {
throw new IllegalArgumentException("bad combination of materials!");
}
this.wood = wood;
}
public void setUpholstery(String upholstery) {
if (!allowed.contains(this.wood + ":" + upholstery)) {
throw new IllegalArgumentException("bad combination of materials!");
}
this.upholstery = upholstery;
}
public void setMaterials(String wood, String upholstery) {
if (!allowed.contains(wood + ":" + upholstery)) {
throw new IllegalArgumentException("bad combination of materials!");
}
this.wood = wood;
this.upholstery = upholstery;
}
// getters
...
}
The disadvantage of this approach compared to other answers is that there is no compile-time type checking. For example, if you try to set the wood to plywoo instead of plywood you won’t know about your error until runtime. In practice this disadvantage is negligible since presumably the options will be chosen by a user through a UI (or through some other means), so you won’t know what they are until runtime anyway. Plus the big advantage is that the code will never have to be changed so long as you’re willing to maintain a list of allowed combinations externally. As someone with 30 years of development experience, take my word for it that this approach is far more maintainable.
With the above code, you'll need to use setMaterials before using setWood or setUpholstery, since the other field will still be null and therefore not an allowed combination. You can initialize the class's fields with default materials to avoid this if you want.

Search Function in Java Data Structure

I have created a large amount of People beans and was wanting to store them in some kind of data structure where I would be able to search for particular types of People beans (e.g. People beans with a last name of "Sanchez") as fast as possible (I don't want to use a DB by the way). Is the only way to loop over my beans and test currBean.getLastName().equals("Sanchez") for each bean?
I would like to be able to do something like the following:
List<PeopleBean> myPeople = myBeansDataStructure.getAll(new PeopleBean("John", "Sanchez", 36),
new Comparator<PeopleBean>() {
#Override
public int compare(PeopleBean b1, PeopleBean b2) {
// search conditions
}
});
and have it return a collection of beans matching the search. My searches will always be of the same 'kind', i.e., I will be either searching for beans with a particular last name, first name, or age (or some permutation of the three) so could something using an overridden equals method in the bean be used?

I am surprised this isnt there in the library.. or is it?
Anyway, you can write your own
public interface Condition<T> {
public bool satisfies(T t);
}
And write a generic searcher, which goes through the entire and applies this function to each of them and returns you a new of only the ones that return true.

You can use Java 8 (This is under the assumption that myBeansDataStructure is a Collection of some sort.):
List<PeopleBean> myPeople = myBeansDataStructure.stream().filter(person -> person.getLastName().equals("Sanchez")).collect(Collectors.toList());
Or you could try something like this:
List<PeopleBean> myPeople = myBeansDataStructure.stream().map(PeopleBean::getLastName).filter(lastName -> lastName.equals("Sanchez")).collect(Collectors.toList());

You can try this
List<PeopleBean> list=new ArrayList<>();
for(PeopleBean i:list){
if(i.getName().equals("whatEverName")){
//do something
}
}

Java Server Client, shared variable between threads

I am working on a project to create a simple auction server that multiple clients connect to. The server class implements Runnable and so creates a new thread for each client that connects.
I am trying to have the current highest bid stored in a variable that can be seen by each client. I found answers saying to use AtomicInteger, but when I used it with methods such as atomicVariable.intValue() I got null pointer exception errors.
What ways can I manipulate the AtomicInteger without getting this error or is there an other way to have a shared variable that is relatively simple?
Any help would be appreciated, thanks.
Update
I have the AtomicInteger working. The problem is now that only the most recent client to connect to the server seems to be able to interact with it. The other client just sort of freeze.
Would I be correct in saying this is a problem with locking?

Well, most likely you forgot to initialize it:
private final AtomicInteger highestBid = new AtomicInteger();
However working with highestBid requires a great deal of knowledge to get it right without any locking. For example if you want to update it with new highest bid:
public boolean saveIfHighest(int bid) {
int currentBid = highestBid.get();
while (currentBid < bid) {
if (highestBid.compareAndSet(currentBid, bid)) {
return true;
}
currentBid = highestBid.get();
}
return false;
}
or in a more compact way:
for(int currentBid = highestBid.get(); currentBid < bid; currentBid = highestBid.get()) {
if (highestBid.compareAndSet(currentBid, bid)) {
return true;
}
}
return false;
You might wonder, why is it so hard? Image two threads (requests) biding at the same time. Current highest bid is 10. One is biding 11, another 12. Both threads compare current highestBid and realize they are bigger. Now the second thread happens to be first and update it to 12. Unfortunately the first request now steps in and revert it to 11 (because it already checked the condition).
This is a typical race condition that you can avoid either by explicit synchronization or by using atomic variables with implicit compare-and-set low-level support.
Seeing the complexity introduced by much more performant lock-free atomic integer you might want to restore to classic synchronization:
public synchronized boolean saveIfHighest(int bid) {
if (highestBid < bid) {
highestBid = bid;
return true;
} else {
return false;
}
}

I wouldn't look at the problem like that. I would simply store all the bids in a ConcurrentSkipListSet, which is a thread-safe SortedSet. With the correct implementation of compareTo(), which determines the ordering, the first element of the Set will automatically be the highest bid.
Here's some sample code:
public class Bid implements Comparable<Bid> {
String user;
int amountInCents;
Date created;
#Override
public int compareTo(Bid o) {
if (amountInCents == o.amountInCents) {
return created.compareTo(created); // earlier bids sort first
}
return o.amountInCents - amountInCents; // larger bids sort first
}
}
public class Auction {
private SortedSet<Bid> bids = new ConcurrentSkipListSet<Bid>();
public Bid getHighestBid() {
return bids.isEmpty() ? null : bids.first();
}
public void addBid(Bid bid) {
bids.add(bid);
}
}
Doing this has the following advantages:
Automatically provides a bidding history
Allows a simple way to save any other bid info you need
You could also consider this method:
/**
* #param bid
* #return true if the bid was successful
*/
public boolean makeBid(Bid bid) {
if (bids.isEmpty()) {
bids.add(bid);
return true;
}
if (bid.compareTo(bids.first()) <= 0) {
return false;
}
bids.add(bid);
return true;
}

Using an AtomicInteger is fine, provided you initialise it as Tomasz has suggested.
What you might like to think about, however, is whether all you will literally ever need to store is just the highest bid as an integer. Will you never need to store associated information, such as the bidding time, user ID of the bidder etc? Because if at a later stage you do, you'll have to start undoing your AtomicInteger code and replacing it.
I would be tempted from the outset to set things up to store arbitrary information associated with the bid. For example, you can define a "Bid" class with the relevant field(s). Then on each bid, use an AtomicReference to store an instance of "Bid" with the relevant information. To be thread-safe, make all the fields on your Bid class final.
You could also consider using an explicit Lock (e.g. see the ReentrantLock class) to control access to the highest bid. As Tomasz mentions, even with an AtomicInteger (or AtomicReference: the logic is essentially the same) you need to be a little careful about how you access it. The atomic classes are really designed for cases where they are very frequently accessed (as in thousands of times per second, not every few minutes as on a typical auction site). They won't really give you any performance benefit here, and an explicit Lock object might be more intuitive to program with.

Saving on Instance Variables

Our server recently has been going down a lot and I was tasked to improve the memory usage of a set of classes that was identified to be the culprit.
I have code which initializes an instance of an object and goes like this:
boolean var1;
boolean var2;
.
.
.
boolean var100;
void setup() {
var1 = map.hasFlag("var1");
var2 = map.hasFlag("var2);
.
.
.
if (map.hasFlag("some flag") {
doSomething();
}
if (var1) {
increment something
}
if (var2) {
increment something
}
}
The setup code takes about 1300 lines. My question is if it is possible for this method to be more efficient in terms of using too many instance variables.
The instance variables by the way are used in a "main" method handleRow() where for example:
handleRow(){
if (var1) {
doSomething();
}
.
.
.
if (var100) {
doSomething();
}
}
One solution I am thinking is to change the implementation by removing the instance variables in the setup method and just calling it directly from the map when I need it:
handleRow(){
if (map.hasFlag("var1") {
doSomething();
}
.
.
.
if (map.hasFlag("var100") {
doSomething();
}
}
That's one solution I am considering but I would like to hear the inputs of the community. :)

If these are really all boolean variables, consider using a BitSet instead. You may find that reduces the memory footprint by a factor of 8 or possibly even 32 depending on padding.

100 boolean variables will take 1.6k of memory when every boolean with overhead takes 16 bytes (which is a bit much imho) I do not think this will be the source of the problem.
Replacing these flags with calls into the map will negatively impact performance, so your change will probably make things worse.
Before you go redesigning your code (a command pattern looks like a good candidate) you should look further into where the memory leak is that you are asked to solve.
Look for maps that the classes keep adding to, collections that are static variables etc. Once you find out where the reason for the memory growth lies you can decide which part of your classes to refactor.

You could save memory at the cost of time (but if your memory use is a real problem, then it's probably a nett gain in time) by storing the values in a bitset.
If the class is immutable (once you create it, you never change it) then you can perhaps gain by using a variant on Flyweight pattern. Here you have a store of in-use objects in a weak hashmap, and create your objects in a factory. If you create an object that is identical to an existing object, then your factory returns this previous object instead. The saving in memory can be negliable or massive depending on how many repeated objects there are.
If the class is not immutable, but there is such repetition, you can still use the Flyweight pattern, but you will have to do a sort of copy-on-write where altering an object makes it change from using a shared internal representation to one of its own (or a new one from the flyweight store). This is yet more complicated and yet more expensive in terms of time, but again if its appropriate, the savings can be great.

You can use command pattern:
public enum Command {
SAMPLE_FLAG1("FLAG1") {
public abstract void call( ){
//Do you increment here
}
},
SAMPLE_FLAG2("FLAG2") {
public abstract void call( ){
//Do you increment here
}
};
private Map<String, Command> commands = new HashMap<String, Command>( );
static {
for ( Command cmd : Command.values( )) {
commands.put( cmd.name, cmd);
}
};
private String name;
private Command( String name) {
this.name = name;
}
public Command fromString( String cmd) {
return commands.get( cmd);
}
public abstract void call( );
}
and then:
for( String $ : flagMap.keySet( )) {
Command.fromString( $).call( );
}