{"id":183070,"date":"2025-03-03T01:17:07","date_gmt":"2025-03-03T00:17:07","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/batching-queries-en\/"},"modified":"2025-03-08T01:53:01","modified_gmt":"2025-03-08T00:53:01","slug":"batching-queries-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/batching-queries-en\/","title":{"rendered":"Batching Queries"},"content":{"rendered":"<p>Description: Batch queries refer to the practice of sending multiple queries in a single request to reduce the number of network calls. This technique is especially relevant in the context of API communication, where developers can optimize communication between the client and server. By grouping several queries into one, latency times are minimized, and bandwidth usage efficiency is improved. Batch queries allow developers to retrieve all necessary data in a single interaction, resulting in a smoother and faster user experience. Additionally, this practice helps reduce server load, as fewer individual requests are handled, which can be crucial in applications with high traffic volumes. In various API frameworks, batch queries can be implemented using tools and libraries that facilitate request grouping, allowing developers to define multiple operations in a single payload. This not only enhances performance but also simplifies client logic, as multiple responses can be handled more efficiently.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Batch queries refer to the practice of sending multiple queries in a single request to reduce the number of network calls. This technique is especially relevant in the context of API communication, where developers can optimize communication between the client and server. By grouping several queries into one, latency times are minimized, and bandwidth [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[12088],"glossary-tags":[13044],"glossary-languages":[],"class_list":["post-183070","glossary","type-glossary","status-publish","hentry","glossary-categories-graphql-en","glossary-tags-graphql-en"],"post_title":"Batching Queries ","post_content":"Description: Batch queries refer to the practice of sending multiple queries in a single request to reduce the number of network calls. This technique is especially relevant in the context of API communication, where developers can optimize communication between the client and server. By grouping several queries into one, latency times are minimized, and bandwidth usage efficiency is improved. Batch queries allow developers to retrieve all necessary data in a single interaction, resulting in a smoother and faster user experience. Additionally, this practice helps reduce server load, as fewer individual requests are handled, which can be crucial in applications with high traffic volumes. In various API frameworks, batch queries can be implemented using tools and libraries that facilitate request grouping, allowing developers to define multiple operations in a single payload. 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