Hi, I am investigating removing a large amount of data from a partitioned region (with 1 redundant copy) and I am wondering what is the recommended way to run this operation. I understand the operation should be invoked as a function executing on the servers but as for the remove algorithm there appear to be multiple options:
1. Retrieve the keys (millions) to be evicted and pass this to localData.removeAll() 2. Parallel stream over the local data, filtering and calling localData.remove() on each entry. This is safe as no ConcurrentModificationException should be thrown from entrySet(). 3. Retrieve the keys to evict, then batch calling removeAll() for each batch on a single thread. 4. Others? I appreciate this question is fairly open ended and subject to specific performance tests, but I am interested to hear opinions/recommendations on how this sort of operations should be performed. Thanks in advance, Phil
