Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies DOI Open Access

Xishuang Yin,

Yi Feng

International Journal of Agricultural and Environmental Information Systems, Год журнала: 2025, Номер 16(1), С. 1 - 17

Опубликована: Апрель 18, 2025

The reasonable storage and retrieval of spatial data in rivers lakes can promote the development river lake management protection projects. In order to efficiently store retrieve data, this study adopts computer technology design a architecture method based on types. structured relational databases document with indexing characteristics. Use geospatial abstraction library read write raster image from unstructured use Elasticsearch metadata. test results show that minimum latency is 13ms, average response time 78ms, maximum throughput 14000 req/s, failure rate 0.106%. designed database performance are excellent, providing technical support for efficient data.

Язык: Английский

Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies DOI Open Access

Xishuang Yin,

Yi Feng

International Journal of Agricultural and Environmental Information Systems, Год журнала: 2025, Номер 16(1), С. 1 - 17

Опубликована: Апрель 18, 2025

The reasonable storage and retrieval of spatial data in rivers lakes can promote the development river lake management protection projects. In order to efficiently store retrieve data, this study adopts computer technology design a architecture method based on types. structured relational databases document with indexing characteristics. Use geospatial abstraction library read write raster image from unstructured use Elasticsearch metadata. test results show that minimum latency is 13ms, average response time 78ms, maximum throughput 14000 req/s, failure rate 0.106%. designed database performance are excellent, providing technical support for efficient data.

Язык: Английский

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