public class ReaderTextCSVParallel
extends MatrixReader
Parallel version of ReaderTextCSV.java. To summarize, we do two passes in order to compute row offsets and the actual
read. We accordingly create count and read tasks and use fixed-size thread pools to execute these tasks. If the
target matrix is dense, the inserts are done lock-free. In contrast to textcell parallel read, we also do lock-free
inserts. If the matrix is sparse, because splits contain row partitioned lines and hence there is no danger of lost
updates. Note, there is also no sorting of sparse rows required because data comes in sorted order per row.