Arguments are provided either via the query string or in the request body, like an HTML form. HTTP-RPC services are accessed by applying an HTTP verb such as GET or POST to a target resource. The project currently includes support for implementing REST services in Java and consuming services in Java, Objective-C/Swift, or JavaScript. It allows developers to create and access web services using a convenient, RPC-like metaphor while preserving fundamental REST principles such as statelessness and uniform resource access. ![]() HTTP-RPC is an open-source framework for simplifying development of REST applications. Finally, because fewer heap allocations are required, the garbage collector needs to run much less frequently, resulting in fewer system pauses. Also, because no intermediate data structures are created, CPU and memory load is reduced, allowing each server to handle a higher number of concurrent requests. This allows a client to begin receiving the data as soon as it is available, significantly reducing latency. Instead of copying the query results into an in-memory data structure before sending the response, the web service can write a row of data to the output stream each time a row is read from the result set. Eventually, the garbage collector has to run, slowing down the entire system.Ī much more efficient approach is to stream response data. Worse, the caller does not receive a response until the entire data set has been processed.įurther, since each response is loaded entirely into memory, high-volume applications require a large amount of RAM, and can only scale through the addition of more physical hardware. Each row requires multiple heap allocations and constructor invocations, increasing latency and CPU load. This type of approach has a negative impact on performance and scalabilty. Unfortunately, transforming query results to JSON so it can be consumed by a client application often involves numerous inefficient steps, such as binding each row to a data object and loading the entire data set into memory before serializing it back to the caller. Many web services are little more than HTTP-based wrappers around such queries. ![]() NOTE An updated version of this article can be found here.Ī lot of enterprise data is stored in relational databases and accessed via SQL queries.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |