Cache concurrency data structures in Java caching technology

Cache concurrent data structure in Java caching technology

With the emergence of complex applications, caching has become an indispensable part of large systems. There are many different cache concurrent data structures in Java caching technology, such as ConcurrentHashMap, ConcurrentSkipListMap, ConcurrentLinkedQueue, etc. In this article, we will explain these data structures in detail.

ConcurrentHashMap

ConcurrentHashMap is a concurrent hash map in the Java collection framework. The bottom layer is based on the segmentation lock mechanism, realizing multi-threaded concurrent operations and ensuring data consistency and security. .

The Map in ConcurrentHashMap is divided into several Segments (lock segments), and each Segment object protects a part of the data. When a thread occupies a certain Segment, other threads can access other Segments, thus achieving high concurrent access.

ConcurrentSkipListMap

ConcurrentSkipListMap is a concurrent ordered mapping table in the Java collection framework. It implements multi-threaded concurrent operations based on the skip table data structure and can support high concurrency read and write operations.

Skip list is a data structure based on linked list, which spans multiple nodes when searching for elements, thus improving the efficiency of data search. At the same time, the data structure based on skip lists also has the characteristics of high concurrency, so ConcurrentSkipListMap has also become an efficient concurrent data structure.

ConcurrentLinkedQueue

ConcurrentLinkedQueue is a concurrent linked list queue in the Java collection framework. This data structure does not have any blocking operations such as locks and synchronizers. It achieves high concurrency based on technologies such as "CAS spin" degree of data access.

ConcurrentLinkedQueue is different from BlockingQueue, which is a lock-based blocking queue. In a multi-threaded environment, ConcurrentLinkedQueue can ensure data consistency and security, and is suitable for high-concurrency reading and writing scenarios.

Conclusion

There are many kinds of cache concurrent data structures in Java cache technology. When using them, you need to choose the appropriate data structure according to the specific scenario. For scenarios where there are many reads and few writes, you can choose hash table implementations such as ConcurrentHashMap; for scenarios where reading and writing are frequent, you can choose ordered list implementations such as ConcurrentSkipListMap; for the implementation of data structures such as queues, you can choose linked list structures such as ConcurrentLinkedQueue.

In general, the cache concurrent data structure in Java cache technology plays a very important role in building an efficient and high-concurrency system, and it needs to be selected according to specific scenarios during development.

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