You are very confused about data-sharing attributes and work-sharing for OpenMP. This answer does not attempt to properly teach them to you, but only give you a concise specific example.
Your code does not make any sense and does not compile.
You do not need multiple regions or such, and there are only two variables. v - which is defined outside, is read by all and must be shared - which it implicitly is because it is defined outside. Then there is sum, which is a reduction variable.
Further, you need to apply worksharing (for) to the loop. So in the end it looks like this:
int v[] ={1,2,3,4,5,6,7,8,9};
int sum = 0;
#pragma omp parallel for reduction(+: sum)
for (int i = 0; i < sizeof(v)/sizeof(int); i++){
sum += v[i];
}
printf("%d\n",sum);
Note there are private variables in this example. Private variables are very dangerous because they are uninitialized inside the parallel region, simply don't use them explicitly. If you need something local, declare it inside the parallel region.
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