Volatile Keyword

We typically use volatile keyword when we share variables with more than one thread in a multi-threaded environment, and we want to avoid any memory inconsistency errors due to the caching of these variables in the CPU cache.
Happens-Before relationship
A happens-before relationship between two program statements is sort a guarantee which ensures that any memory writes by one statement are visible to another statement. When we write to a volatile variable, it creates a happens-before relationship with each subsequent read of that same variable. So any memory writes that have been done until that volatile variable write, will subsequently be visible to any statements that follow the read of that volatile variable.Capture1.PNG
Let’s assume that the above two snippets being executed by two different threads – thread 1 and 2. When the first thread changes hasValue, it will not only flush this change to main memory, but it will also cause the previous three writes (and any other previous writes) to be flushed into the main memory as well! As a result, when the second thread accesses these three variables it will see all the writes made by thread 1, even if they were all cached before (and these cached copies will be updated as well)! This is the exactly why we did not have to mark the value variable in our first example with volatile as well. Since we wrote to that variable before accessing hasValue, and read from it after reading hasValue, it was automatically synced with the main memory. This has another interesting consequence. JVM is famous for its program optimization. Sometimes it reorders the program statements to boost performance without changing the output of the program. As an example, it can change the following sequence of statements –
Capture2
will never be transformed by the JVM into this –
Capture3
However, the JVM can certainly reorder the last three reads among them, as long as they keep appearing after the volatile read.

Can we always use volatile variables to maintain data consistency across threads? Unfortunately not. When more than one threads read and write to the same variable, then marking it as volatile is not enough to maintain consistency.

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