If we configure the database to use maximum memory when we have several requests to the database, the memory in our Linux server will soon be overwhelmed. Take a MySQL database as reference: To achieve high performance, it applies a buffering mechanism for caching and indexing data. With many reads and writes to the database while the application handles user requests, our database can consume considerable memory. When discussing high memory–consuming processes, we must mention databases. This makes the application store more states than necessary, and with only a few users, memory usage greatly increases. Instead of being isolated for thread safety, the hibernate session is included in the same HTTP session. But there’s an error that frequently occurs when developers work with hibernate sessions. When working with databases in Java, hibernate session is commonly used for creating connections and managing the session between the server and the database. However, developers tend to forget to clean up session caching data afterward. It allows developers to store users per session and makes it easy to save or get data object value. Session caching is often used when storing the intermediate state of the application. The wrong configuration could make the cache grow too quickly, leaving less memory for other processes running in the system. The two most common causes are wrong configuration in caching and session caching anti-pattern.Ĭaching is a common way to achieve high performance for applications but when applied incorrectly, it can end up hurting system performance instead. There are several applications implemented using Java, and their incorrect implementation or configuration can lead to high memory usage in the server. For quick and effective troubleshooting, first we need to rule out the most likely reasons. A Linux server can consume a considerable amount of memory for various reasons.
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