Definition
Distributed search is a system architecture where search functionality is spread across multiple nodes or servers, enabling faster and more scalable information retrieval. Instead of a single server handling all queries, the workload is divided, with each node responsible for a portion of the data or a specific search task. This approach significantly improves performance by allowing parallel processing of search requests and enhances fault tolerance, as the system can continue operating even if some nodes fail. For instance, a large e-commerce website might use distributed search to quickly find products across millions of listings by querying dedicated search servers. This contrasts with a centralized search where a single database manages all search operations, which can become a bottleneck. Concepts related to distributed search are often encountered in cloud computing and big data domains, relevant to certifications like AWS Certified Solutions Architect.