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In this article, we delve into the intricate workings of Redis, an open-source, in-memory data structure store, known for its ability to handle high write and read operations with minimal latency. The focus is on understanding how Redis saves data without causing blocking, a crucial aspect that sets it apart from other databases.
Key Points
- Fork(): We explore how Redis utilizes the fork() system call to create a child process, ensuring that data operations can continue uninterrupted while the parent process handles other tasks.
- COW (Copy-On-Write): We discuss the role of COW in Redis, a strategy that allows the database to delay actual data duplication until it's necessary, thereby conserving resources and maintaining performance.
- Data Persistence: We delve into how Redis manages data persistence, even with the use of fork() and COW, ensuring that your data is safely stored and recoverable.
Please note that this summary provides a general overview of the article's content. For a comprehensive understanding of Redis's inner workings, we strongly encourage you to read the original article at Medium.