Order of the columns of a sparse matrix (CSR) times a vector

Dear,

I need to multiply a symmetric sparse matrix by a vector and I would like to use the subroutine mkl_dcsrsymv . The upper triangle of the sparse matrix is stored in a CSR format (row major, 3 arrays). However, the elements in the array columns (ja) are not placed in the order in which the associated values occur in the row. 
I know that the order is required for MKL Pardiso, but is it also the case for the subroutine mkl_dcsrsymv? Are unordered columns within a row allowed? What are the consequences?

In advance thank you.

Jeremie