Detailed the implementation of Solong Collections framework technical principles in the Java class library

The implementation of Solong Collection ’s framework technical principles in the Java class library Solong Collections is a framework technology used to handle large data sets. Its main goal is to improve the performance and efficiency of the set operation in the Java library.This framework uses the characteristics of the Java Stream API and Lambda expressions, and transparently operates the data and operates parallel operations to achieve parallelization processing of collective operations. In the SOLONG COLLECTIONS framework, there are several key concepts and implementation principles: 1. Partitioning: Solong Collections divide large data sets into several small data blocks, namely partitions.Each partition can be processed in an independent thread to achieve parallel operations.The size of the partition can be adjusted according to the scale and processing requirements of the data set to make full use of the computing power of the multi -core processor. 2. Multi -threaded processing: Solong Collections uses Java concurrent tools, such as Executorservice and ForkJoinPool to achieve multi -threaded processing in the partition.This can make full use of computing resources to improve the execution efficiency and speed of collective operations. 3. Lazy Evaluation: Solong Collections uses an inert calculation method to apply inertial value value on the set operation chain.This means that when the result of a set operation is needed, Solong Collections will perform corresponding calculations as required instead of calculating and generating intermediate results immediately after each operation.This can reduce unnecessary calculation expenses and improve efficiency. Below are Java code examples of some solid collections frameworks to illustrate their implementation in the Java class library: // Create a large data set List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10); // Use Solong Collections framework to operate numbers.parallelstream () // Convert data sets to parallel flow .filter (n-> n % 2 == 0) // Filter the even number .map (n-> n * n) // .foreach (system.out :: propln); // print results In the above code, the data set is converted into parallel flow by calling the `ParallelStream ()" method.Subsequently, use the `Filter ()` method to filter the even number, and then use the `map ()` method to make each number square.Finally, print the result through the method of `foreach ()`. Through the Solong Collections framework, the operation of this data set can be performed simultaneously on multiple threads, which improves the processing speed and efficiency.Each partition can be processed in parallel on different threads, and the framework will automatically process data interaction and results between partitions. In summary, the Solong Collections framework technology uses the characteristics of the Java Stream API and Lambda expression. Through partitions, multi -threaded processing and inertial calculation, the high -efficiency processing of large data sets in the Java library has been achieved, and it has improvedThe performance and efficiency of the integration operation.