Chapter 7. Parallel data processing and performance
This chapter covers
- Processing data in parallel with parallel streams
- Performance analysis of parallel streams
- The fork/join framework
- Splitting a stream of data using a Spliterator
In the last three chapters, you’ve seen how the new Streams interface lets you manipulate collections of data in a declarative way. We also explained that the shift from external to internal iteration enables the native Java library to gain control over processing the elements of a stream. This approach relieves Java developers from explicitly implementing optimizations necessary to speed up the processing of collections of data. By far the most important benefit is the possibility of executing a pipeline of ...
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