boolean isRoleOld,isRoleNew;
for (Relations relation : listOfRelations)
{
if (Constants.ROLE_OLD.equalsIgnoreCase(relation.getRole()))
{
isRoleOld = true;
}
if (Constants.ROLE_NEW.equalsIgnoreCase(relation.getRole()))
{
isRoleNew = true;
}
}
if (isRoleOld && isRoleNew)
{
“Success”
}else{
throw Exception();
}
What i have done yet is
if (listOfRelations.stream()
.anyMatch(relation -> Constants.ROLE_OLD.equalsIgnoreCase(relation.getRole()))
&&
listOfRelations.stream()
.anyMatch(relation -> Constants.ROLE_NEW.equalsIgnoreCase(relation.getRole())))
{
System.out.println("Success");
}
How to use streams from Java8 to optimize this code. Using a anymatch twice is not the point.
Any help will be appreciated.
You could use a stream to map to each Role, and filter to identify old/new role match, then count the distinct matches.
long count = listOfRelations.stream().map(Relations::getRole)
.filter(role -> Constants.ROLE_OLD.equalsIgnoreCase(role)
|| Constants.ROLE_NEW.equalsIgnoreCase(role))
.map(String::toLowerCase)
.distinct().count();
if (count != 2) {
throw new Exception();
}
System.out.println("Success");
However although this does only one pass through the stream it does not exit early once matched both roles so won't be ideal for large data-sets.
Actually, the solution with two .anyMatch checks is better because of short-circuiting when the required value is matched and therefore these checks may usually complete "sooner" than a full single run over the entire stream. In case ROLE_OLD value is missing, && short-circuiting occurs and no check for ROLE_NEW is executed. The worst case is when ROLE_OLD is located at the end of the input listOfRelations, and no ROLE_NEW is there.
Similar loop-based solution would use break as soon as both ROLE_OLD and ROLE_NEW have been detected; in the worst case, the collection is fully iterated one time.
Related
List<Mt4Strategy> openStrategies = ...
OrderType sample = openStrategies.get(0).calculate().getOrderType();
boolean success = true;
for (int i = 1; i < openStrategies.size(); i++) {
Mt4Action calculate = openStrategies.get(i).calculate();
if (calculate.getOrderType() != sample) {
success = false;
break;
}
}
OrderType is an enum.
I don't know what the first element contains and as a result am forced to make openStrategies.get(0).... I want to get rid of this get(0), but how?
I tried to use lambda like this:
OrderType sample = openStrategies.get(0).calculate().getOrderType();
boolean success = IntStream.range(1, openStrategies.size()).mapToObj(i ->
openStrategies.get(i).calculate()).noneMatch(calculate ->
calculate.getOrderType() != sample);
It's a good start but does not resolve my get(0).
Can using a lambda get rid of it? How I can write this to check success without get(0)? Lambda solution in priority something similar to last case .noneMatch.
You apparently want to determine whether all the input list elements have the same order type. A stream ought to make this pretty simple. For example,
boolean success = openStrategies.stream()
.map(s -> s.calculate().getOrderType())
.distinct()
.limit(2)
.count() == 1;
Note here the distinctness comparisons are done with equals rather than ==. If you really need ==, it's more difficult.
This checks for exactly one value in the list. If the input can be empty and you want the result to be true in that case, change == 1 to <= 1.
The limit(2) isn't needed for correctness but allows the search to stop as soon as a second distinct value is found, so it's more efficient.
There are other ways to do this.
Responding to comment
There are various hacky ways you could get the common value without calling .get(0), but none that would be clearer (at least that I can think of). It's silly to code things in oddball ways just to avoid a call you don't like the looks of.
I am looking into the implementation of Streams::findLast from Guava and while trying to understand it, there were a couple of things that simply I could not grasp. Here is it's implementation:
public static <T> java.util.Optional<T> findLast(Stream<T> stream) {
class OptionalState {
boolean set = false;
T value = null;
void set(#Nullable T value) {
set = true;
this.value = value;
}
T get() {
checkState(set);
return value;
}
}
OptionalState state = new OptionalState();
Deque<Spliterator<T>> splits = new ArrayDeque<>();
splits.addLast(stream.spliterator());
while (!splits.isEmpty()) {
Spliterator<T> spliterator = splits.removeLast();
if (spliterator.getExactSizeIfKnown() == 0) {
continue; // drop this split
}
// Many spliterators will have trySplits that are SUBSIZED even if they are not themselves
// SUBSIZED.
if (spliterator.hasCharacteristics(Spliterator.SUBSIZED)) {
// we can drill down to exactly the smallest nonempty spliterator
while (true) {
Spliterator<T> prefix = spliterator.trySplit();
if (prefix == null || prefix.getExactSizeIfKnown() == 0) {
break;
} else if (spliterator.getExactSizeIfKnown() == 0) {
spliterator = prefix;
break;
}
}
// spliterator is known to be nonempty now
spliterator.forEachRemaining(state::set);
return java.util.Optional.of(state.get());
}
Spliterator<T> prefix = spliterator.trySplit();
if (prefix == null || prefix.getExactSizeIfKnown() == 0) {
// we can't split this any further
spliterator.forEachRemaining(state::set);
if (state.set) {
return java.util.Optional.of(state.get());
}
// fall back to the last split
continue;
}
splits.addLast(prefix);
splits.addLast(spliterator);
}
return java.util.Optional.empty();
}
In essence the implementation is not that complicated to be honest, but here are the things that I find a bit weird (and I'll take the blame here if this question gets closed as "opinion-based", I understand it might happen).
First of all is the creation of OptionalState class, this could have been replaced with an array of a single element:
T[] state = (T[]) new Object[1];
and used as simple as:
spliterator.forEachRemaining(x -> state[0] = x);
Then the entire method could be split into 3 pieces:
when a certain Spliterator is known to be empty:
if (spliterator.getExactSizeIfKnown() == 0)
In this case it's easy - just drop it.
then if the Spliterator is known to be SUBSIZED. This is the "happy-path" scenario; as in this case we can split this until we get to the last element. Basically the implementation says: split until the prefix is either null or it's empty (in which case consume the "right" spliterator) or if after a split the "right" spliterator is known to be empty, consume the prefix one. This is done via:
// spliterator is known to be nonempty now
spliterator.forEachRemaining(state::set);
return java.util.Optional.of(state.get());
Second question I have is actually about this comment:
// Many spliterators will have trySplits that are SUBSIZED
// even if they are not themselves SUBSIZED.
This is very interesting, but I could not find such an example, would appreciate if someone would introduce me to one. As a matter of fact, because this comment exists, the code in the next (3-rd part of the method can not be done with a while(true) like the second), because it assumes that after a trySplit we could obtain a Spliterator that is SUBSIZED, even if our initial one was not, so it has to go to the very beginning of findLast.
this part of the method is when a Spliterator is known not to be SUBSIZED and in this case it does not have a known size; thus it relies on how the Spliterator from the source is implemented and in this case actually a findLast makes little sense... for example a Spliterator from a HashSet will return whatever the last entry is in the last bucket...
When you iterate a Spliterator of an unknown size, you have to track whether an element has been encountered. This can be done by calling tryAdvance and using the return value or by using forEachRemaining with a Consumer which records whether an element has been encountered. When you go the latter route, a dedicated class is simpler than an array. And once you have a dedicated class, why not use it for the SIZED spliterator as well.
What’s strange to me, is that this local class, which only exists to be used as a Consumer, doesn’t implement Consumer but requires the binding via state::set.
Consider
Stream.concat(
Stream.of("foo").filter(s -> !s.isEmpty()),
Stream.of("bar", "baz"))
The Spliterator representing the entire stream can’t have the SIZED characteristic. But when splitting off the first substream with the unknown size, the remaining stream has a known size.
Test code:
Spliterator<String> sp = Stream.concat(
Stream.of("foo").filter(s -> !s.isEmpty()),
Stream.of("bar", "baz"))
.spliterator();
do {
System.out.println(
"SIZED: "+sp.hasCharacteristics(Spliterator.SIZED)
+ ", SUBSIZED: "+sp.hasCharacteristics(Spliterator.SUBSIZED)
+ ", exact size if known: "+sp.getExactSizeIfKnown());
} while(sp.trySplit() != null);
Result:
SIZED: false, SUBSIZED: false, exact size if known: -1
SIZED: true, SUBSIZED: true, exact size if known: 2
SIZED: true, SUBSIZED: true, exact size if known: 1
But to me, it looks weird when someone tells in a comment to know that splitting can change the characteristics and then doing a pre-test with SUBSIZED, instead of just doing the split and check whether the result has a known size. After all, the code is doing the split anyway, in the alternative branch, when the characteristic is not present. In my old answer, I did the pretest to avoid allocating data structures, but here, the ArrayDeque is always created and used. But I think, even my old answer could be simplified.
I’m not sure what you are aiming at. When a Spliterator has the ORDERED characteristic, the order of traversal and splitting is well-defined. Since HashSet is not ordered, the term “last” is meaningless. If you are radical, you could optimize the operation to just return the first element for unordered streams; that’s valid and much faster.
What is strange, is this condition:
if (prefix == null || prefix.getExactSizeIfKnown() == 0) {
// we can't split this any further
(and a similar loop termination in the SUBSIZED path)
Just because one prefix happened to have a known zero size, it does not imply that the suffix can’t split further. Nothing in the specification says that.
As a consequence of this condition, Stream.concat(Stream.of("foo"), Stream.of("bar","baz")) can be handled optimally, whereas for Stream.concat(Stream.of(), Stream.of("bar", "baz")), it will fall back to a traversal, because the first prefix has a known size of zero.
One area that I often finding confusing with java 8 streams is when an intermediate result can be empty, and you need to take alternate paths if it's empty or not empty.
For instance, if I have code like this:
String pymtRef = defaultValue;
Optional<PaymentTender> paymentTender = paymentTenders.stream()
.filter(pt -> (pt.getFlag() == Flag.N || pt.getFlag() == null)).findFirst();
if (paymentTender.isPresent()) {
pymtRef = paymentTender.get().getId();
}
return pymtRef;
I would like to figure out how to remove the conditional block and do this in a single stream.
If I simply call ".map" on the filter result, that can work if it found a matching entry. If not, I get a NoSuchElementException.
I might instead use "ifPresent()", but the return type of that is "void".
Is there any way to make this cleaner?
Update:
The solution using "orElse()" works fine.
The entire method now looks something like this:
public String getPaymentReference(OrderContext orderContext) {
List<PaymentTender> paymentTenders = getPaymentTenders(orderContext);
if (paymentTenders.size() == 1) {
return paymentTenders.get(0).getId();
}
return paymentTenders.stream()
.filter(pt -> (pt.getAutoBill() == AutoBill.N || pt.getAutoBill() == null))
.findFirst().map(pt -> pt.getId()).orElse(DEFAULT_VALUE);
}
Can you think of a way to include the first conditional in the stream without making it more complex?
Calling get() straight after map will yield an exception if the Optional has an empty state, instead call orElse after map and provide a default value:
paymentTenders.stream()
.filter(pt -> (pt.getFlag() == Flag.N || pt.getFlag() == null))
.findFirst()
.map(PaymentTender::getId)
.orElse(someDefaultValue);
Edit:
As for:
Can you think of a way to include the first conditional in the stream
without making it more complex?
No, this is better the way you've done it. it's more readable and easier to follow.
introducing any type of logic to make it into one pipeline (if possible) will just end of being complex and hence harder to follow and understand.
You can do it in one statement via
public String getPaymentReference(OrderContext orderContext) {
List<PaymentTender> paymentTenders = getPaymentTenders(orderContext);
return paymentTenders.stream()
.filter(paymentTenders.size() == 1? pt -> true:
pt -> pt.getAutoBill() == AutoBill.N || pt.getAutoBill() == null)
.findFirst().map(PaymentTender::getId).orElse(DEFAULT_VALUE);
}
Note that this will not repeat the evaluation of the paymentTenders.size() == 1 for every element, but use a different function, depending on the state. When the condition is fulfilled, pt -> true will accept any element, which will result in the sole element being accepted as intended. Otherwise, the ordinary predicate, pt -> pt.getAutoBill() == AutoBill.N || pt.getAutoBill() == null is used.
I am using below code and used two continue statement depending on some logic but sonar list showing this issue Reduce the total number of break and continue statements in this loop to use at most one.
How to resolve this issue?
for (HashMap<String, String> objRequestIdVO : pObjTicketId) {
List<TicketDetailsDO> objTicketDetailslist = storeManagerDao.getTicketDetailsWithTicketId(objRequestIdVO.get("requestId"));
if (null == objTicketDetailslist || objTicketDetailslist.isEmpty()) {
continue;
}
Integer iDesiredDsicount = objTicketDetailslist.get(0).getDesiredDiscount();
String iSubDept = objTicketDetailslist.get(0).getSubdeptTicket().getSubDeptId();
List<MCouponDO> objMCounponList = storeManagerDao.getMcouponData(iDesiredDsicount, iSubDept);
if (null == objMCounponList || objMCounponList.isEmpty()) {
continue;
}
String strHeader = objMCounponList.get(0).getHeader();
objHeaderVO = new HeaderVO();
objHeaderVO.setHeader(strHeader);
objHeaderVO.setRequestId(objRequestIdVO.get("requestId"));
objHeaderVOList.add(objHeaderVO);
}
Change the null check continue, to not null check and proceed. The code will be executed only if the not null check passes, which is same as saying continue if null.
for (HashMap<String, String> objRequestIdVO : pObjTicketId) {
List<TicketDetailsDO> objTicketDetailslist = storeManagerDao.getTicketDetailsWithTicketId(objRequestIdVO.get("requestId"));
if (!(null == objTicketDetailslist || objTicketDetailslist.isEmpty())) {
Integer iDesiredDsicount = objTicketDetailslist.get(0).getDesiredDiscount();
String iSubDept = objTicketDetailslist.get(0).getSubdeptTicket().getSubDeptId();
List<MCouponDO> objMCounponList = storeManagerDao.getMcouponData(iDesiredDsicount, iSubDept);
if (!(null == objMCounponList || objMCounponList.isEmpty()) {
String strHeader = objMCounponList.get(0).getHeader();
objHeaderVO = new HeaderVO();
objHeaderVO.setHeader(strHeader);
objHeaderVO.setRequestId(objRequestIdVO.get("requestId"));
objHeaderVOList.add(objHeaderVO);
}
}
}
You could use streams replacing the continues with filters.
pObjTicketId.stream()
.map(m-> m.get("requestId"))
.map(reqId ->
Optional.ofNullable(storeManagerDao.getTicketDetailsWithTicketId(reqId))
.filter(l->!l.isEmpty())
.map(l->l.get(0))
.map(ticketDetails->
storeManagerDao.getMcouponData(ticketDetails.getDesiredDiscount(),
ticketDetails.getSubdeptTicket().getSubDeptId())
)
.filter(Objects::nonNull)
.filter(l->!l.isEmpty())
.map(l->l.get(0))
.map(couponDo-> {
HeaderVO headerVO = new HeaderVO();
headerVO.setHeader(couponDo.getHeader());
headerVO.setRequestId(oreqId);
return headerVO;
})
)
.filter(Optional::isPresent)
.map(Optional::get)
.collect(Collectors.toList());
You have a bigger problem than fixing Sonar warning if calls - storeManagerDao.getTicketDetailsWithTicketId(objRequestIdVO.get("requestId")) & storeManagerDao.getMcouponData(iDesiredDsicount, iSubDept) are about making DB calls.This is a big performance point and one should - Never ever make DB calls from within a loop, this is far more dangerous than multiple continue & break statements
So I would first restructure your DAO call - storeManagerDao.getTicketDetailsWithTicketId to run IN sql query for a bunch of objRequestIdVO.get("requestId") in one go , outside your main loop & produce a Map<String,List<TicketDetailsDO>> ...that will automatically get rid of your first if .
Next you repeat same process for constructing a Map<String,List<MCouponDO> objMCounponList> by iterating previous map Map<String,List<TicketDetailsDO>> where key of this map is something like - iDesiredDsicount|iSubDept .
This way you will have two disconnected loops and only two DB calls & your Sonar warning gets automatically solved on the way.
We're refactoring a long method; it contains a long for loop with many continue statements. I'd like to just use the Extract Method refactoring, but Eclipse's automated one doesn't know how to handle the conditional branching. I don't, either.
Our current strategy is to introduce a keepGoing flag (an instance variable since we're going to want to extract method), set it to false at the top of the loop, and replace every continue with setting the flag to true, then wrapping all the following stuff (at different nesting levels) inside an if (keepGoing) clause. Then perform the various extractions, then replace the keepGoing assignments with early returns from the extracted methods, then get rid of the flag.
Is there a better way?
Update: In response to comments - I can't share the code, but here's an anonymized excerpt:
private static void foo(C1 a, C2 b, C3 c, List<C2> list, boolean flag1) throws Exception {
for (int i = 0; i < 1; i++) {
C4 d = null;
Integer e = null;
boolean flag2 = false;
boolean flag3 = findFlag3(a, c);
blahblahblah();
if (e == null) {
if (flag1) {
if (test1(c)) {
if (test2(a, c)) {
Integer f = getF1(b, c);
if (f != null)
e = getE1(a, f);
if (e == null) {
if (d == null) {
list.add(b);
continue;
}
e = findE(d);
}
} else {
Integer f = getF2(b, c);
if (f != null)
e = getE2(a, f);
if (e == null) {
if (d == null) {
list.add(b);
continue;
}
e = findE(d);
}
flag2 = true;
}
} else {
if (test3(a, c)) {
Integer f = getF2(b, c);
if (f != null)
e = getE2(a, f);
if (e == null) {
if (d == null) {
list.add(b);
continue;
}
e = findE(d);
}
flag2 = true;
} else {
if (d == null) {
list.add(b);
continue;
}
e = findE(d);
flag2 = true;
}
}
}
if (!flag1) {
if (d == null) {
list.add(b);
continue;
}
e = findE(d);
}
}
if (e == null) {
list.add(b);
continue;
}
List<C2> list2 = blahblahblah(b, list, flag1);
if (list2.size() != 0 && flag1) {
blahblahblah();
if (!otherTest()) {
if (yetAnotherTest()) {
list.add(b);
continue;
}
blahblahblah();
}
}
}
}
This is one of those fun ones where no single pattern will get you there.
I would work at it iteratively.
First I'd try to see if I couldn't use an early continue to remove one of those levels of ifs. It's much clearer code to check for a condition and return early (or in your case continue) than to have deeply nested ifs.
Next I think I'd take some of the inner chunks and see if they couldn't be extracted into a separate method. It looks like the first two big blocks (within the "if (test2(a, c)) {" and its else statement) are very similar. There is cut and paste logic that should be the same.
Finally after that stuff is cleared up, you can start looking at your actual problem--you need more classes. This entire statement is probably a three line polymorphic method in 3-5 sibling classes.
It's very close to throw-away and rewrite code, once you identify your actual classes, this entire method will vanish and be replaced with something so simple it hurts. Just the fact that it's a static utility method should be telling you something--you don't want one of those in this type of code.
Edit (After looking a little more):
There is so much here it would be really fun to go through. Remember that when you are done you want no code duplication--and I'm pretty sure this entire thing could be written without a single if--I think all your ifs are cases that could/should easily be handled by polymorphism.
Oh, and as an answer to your question of eclipse not wanting to do it--don't even TRY automatic refactoring with this one, just do it by hand. The stuff inside that first if() needs to be pulled out into a method because it's virtually identical to the clause in its else()!
When I do something like this, I usually create a new method, move the code from the if into the new method (leaving just a call to the new method inside the if), then run a test and make sure you didn't break anything.
then go line by line and check to ensure there is no difference between the if and its else code. If there is, compensate for it by passing the difference as a new variable to the method. After you're sure everything is identical, replace the else clause with a call. Test again. Chances are at this point a few additional optimizations will become obvious, you'll most likely lose the entire if by combining it's logic with the variable you passed to differentiate the two calls.
Just keep doing stuff like that and iterating. The trick with refactoring is to use Very Small Steps and test between each step to ensure nothing changed.
continue is basically an analogue of an early return, right?
for (...) {
doSomething(...);
}
private void doSomething(...) {
...
if (...)
return; // was "continue;"
...
if (!doSomethingElse(...))
return;
...
}
private boolean doSomethingElse(...) {
...
if (...)
return false; // was a continue from a nested operation
...
return true;
}
Now I must admit that I didn't quite follow your current strategy, so I might have just repeated what you said. If so, then my answer is that I can't think of a better way.
If I were faced with your situation I would look at using other refactoring techniques such as "replace conditional with polymorphism". That said you should always do one thing at a time, so if you first want to extract method you have two options:
Add the "keepGoing" flag
Throw an exception from the method
Of these two options, I think the keepGoing flag is better. I wouldn't stop refactoring after you extract the method. I am sure once you have a smaller method you will find a way to remove this flag and have cleaner logic.
I'm going to summarize the answers here, while accepting Bill K's answer as the most complete. But everyone had something good to offer, and I might use any of these approaches next time I'm faced with this sort of situation.
mmyers: Cut out the loop body, paste it into a new method and replace all the continues with returns. This worked very nicely, although it would have trouble if there were other control flow statements, like break and return, inside the loop.
Bill K: Tease it apart iteratively; look for duplication and eliminate it. Take advantage of polymorphic classes to replace the conditional behavior. Use Very Small Steps. Yes; this is all good advice, with broader applicability than just this specific case.
Aaron: Either use the keepGoing flag to replace the continue or throw an Exception. I didn't try this, but I think the Exception option is a very nice alternative, and one I hadn't considered.