Volatile guarantees and out-of-order execution [duplicate]

IMPORTANT EDIT I know about the "happens before" in the thread where the two assignments are happening my question is would it be possible for another thread to be reading "b" non-null while "a" is still null. So I know that if you're calling doIt() from the same thread as the one where you previously called setBothNonNull(...) then it cannot throw a NullPointerException. But what if one is calling doIt() from another thread than the one calling setBothNonNull(...) ?

Note that this question is solely about the volatile keyword and the volatile guarantees: it is not about the synchronized keyword (so please don't answer "you must use synchronize" for I don't have any issue to solve: I simply want to understand the volatile guarantees (or lack of guarantees) regarding out-of-order execution).

Say we have an object containing two volatile String references that are initialized to null by the constructor and that we have only one way to modify the two String: by calling setBoth(...) and that we can only set their references afterwards to non-null reference (only the constructor is allowed to set them to null).

For example (it's just an example, there's no question yet):

public class SO {

    private volatile String a;
    private volatile String b;

    public SO() {
        a = null;
        b = null;
    }

    public void setBothNonNull( @NotNull final String one, @NotNull final String two ) {
        a = one;
        b = two;
    }

    public String getA() {
        return a;
    }

    public String getB() {
        return b;
    }

}

In setBothNoNull(...), the line assigning the non-null parameter "a" appears before the line assigning the non-null parameter "b".

Then if I do this (once again, there's no question, the question is coming next):

doIt() {
    if ( so.getB() != null ) {
        System.out.println( so.getA().length );
    }
}

Am I correct in my understanding that due to out-of-order execution I can get a NullPointerException?

In other words: there's no guarantee that because I read a non-null "b" I'll read a non-null "a"?

Because due to out-of-order (multi)processor and the way volatile works "b" could be assigned before "a"?

volatile guarantees that reads subsequent to a write shall always see the last written value, but here there's an out-of-order "issue" right? (once again, the "issue" is made on purpose to try to understand the semantics of the volatile keyword and the Java Memory Model, not to solve a problem).


Solution 1:

No, you will never get a NPE. This is because volatile also has the memory-effect of introducing a happens-before relationship. In other words, it will prevent reordering of

a = one;
b = two;

The statements above, will not be re-ordered, and all threads will observe value one for a if b already has value two.

Here is a thread in which David Holmes explains this:
http://markmail.org/message/j7omtqqh6ypwshfv#query:+page:1+mid:34dnnukruu23ywzy+state:results

EDIT (response to the follow-up): What Holmes is saying is, the compiler could in theory do a reorder if there were only thread A. However, there ARE other threads, and they CAN detect the reordering. That is why the compiler is NOT allowed to do that reordering. The java memory model requires the compiler specifically to make sure that no thread will ever detect such reordering.

But what if one is calling doIt() from another thread than the one calling setBothNonNull(...) ?

No, you will still NEVER have a NPE. volatile semantics do impose inter-thread ordering. Meaning that, for all existing thread, assignment of one happens before the assignment of two.

Solution 2:

Am I correct in my understanding that due to out-of-order execution I can get a NullPointerException? In other words: there's no guarantee that because I read a non-null "b" I'll read a non-null "a"?

Assuming that the values assigned to a and b or non-null, I think your understanding is not correct. The JLS says this:

(1) If x and y are actions of the same thread and x comes before y in program order, then hb(x, y).

(2) If an action x synchronizes-with a following action y, then we also have hb(x, y).

(3) If hb(x, y) and hb(y, z), then hb(x, z).

and

(4) A write to a volatile variable (§8.3.1.4) v synchronizes-with all subsequent reads of v by any thread (where subsequent is defined according to the synchronization order).

Theorem

Given that thread #1 has called setBoth(...); once, and that the arguments were non-null, and that thread #2 has observed b to be non-null, then thread #2 cannot then observe a to be null.

Informal Proof

  1. By (1) - hb(write(a, non-null), write(b, non-null)) in thread #1
  2. By (2) and (4) - hb(write(b, non-null), read(b, non-null))
  3. By (1) - hb(read(b, non-null), read(a, XXX)) in thread #2,
  4. By (4) - hb(write(a, non-null), read(b, non-null))
  5. By (4) - hb(write(a, non-null), read(a, XXX))

In other words, the write of a non-null value to a "happens-before" the read of the value (XXX) of a. The only way that XXX can be null, is if there was some other action writing null to a such that hb(write(a,non-null), write(a,XXX)) and hb(write(a,XXX), read(a,XXX)). And this is impossible according to the problem definition, and therefore XXX cannot be null. QED.

Explanation - the JLS states that the hb(...) ("happens-before") relationship does not totally forbid reordering. However, if hb(xx,yy), then reordering of actions xx and yy is only allowed if the resulting code has the same observable effect as the original sequence.

Solution 3:

I found the following post that explains that volatile has the same ordering semantics as synchronized in this case. Java Volatile is Powerful

Solution 4:

While Stephen C's and the accepted answers are good and pretty much cover it, it's worth making an important note that variable a doesn't have to be volatile - and you still won't get an NPE. This is because there will be a happens-before relationship between a = one and b = two, regardless of whether a is volatile. So Stephen C's formal proof still applies, just no need for a being volatile.