A method of optimizing queries execution on a data store
Опубликовано: 20-07-2016
Автор(ы): Naganarasimha Ramesh GARLA, Ravindra Pesala, Yong Zhang
Принадлежит: Huawei Technologies Co Ltd
Реферат: Embodiment of the present disclosure relates to Big Data. In particular,the present disclosure relates to a method and a server to optimize query execution on a data store. The query execution in the present disclosure is optimized by grouping one or more queries, requiring same portion of data from the data store, into one or more groups. Grouping of the one or more queries into the one or more groups is achieved from one or more metadata included in the one or more queries specified by a user who wishes to retrieve the results based on the one or more metadata. The one or more queries grouped under the one or more groups are executed that involves scanning of the data store only for once. In such way, each query is returned with required results from the data store with minimum latency.
Consumption of user-filtered data on a client device
Номер патента: US20170177726A1. Автор: Andrew Byrne,Uma Subramanian. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2017-06-22.