In most cases, PLINQ performs much faster than its non-parallel counterpart LINQ. However, there is some performance overhead, which is related to partitioning and merging while parallelizing the LINQ. The following are some of the things we need to consider while using PLINQ:
- Parallel is not always faster: Parallelization is an overhead. Unless your source collection is huge or it has compute-bound operations, it makes more sense to execute the operations in sequence. Always measure the performance of sequential and parallel queries to make an informed decision.
- Avoid I/O operations that involve atomicity: All I/O operations that involve writing to a filesystem, database, network, or shared memory location should be avoided inside PLINQ. This is because these methods are not thread-safe, so using them may lead to exceptions. A...
