Space vector data indexing and querying method based on HBase distributed storage

A distributed storage and space vector technology, applied in the field of space vector data indexing and query based on HBase distributed storage, can solve the problems of low performance of query indexing methods, low resource utilization, waste of space, etc., to reduce investment and The difficulty of data maintenance, avoiding redundant data storage, and improving the effect of organizational methods

Active Publication Date: 2021-11-09
吉奥时空信息技术股份有限公司
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  • Claims
  • Application Information

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Problems solved by technology

[0006] In view of the above problems, the object of the present invention is to provide a space vector data organization and indexing method based on HBase distributed storage, aiming at solving the low performance, wasted space, and low resource utilization of existing HBase database query indexing methods question

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  • Space vector data indexing and querying method based on HBase distributed storage
  • Space vector data indexing and querying method based on HBase distributed storage
  • Space vector data indexing and querying method based on HBase distributed storage

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0031] figure 1 The flow of the HBase distributed storage-based space vector data indexing and query method provided by the embodiment of the present invention is shown, and only the parts related to the embodiment of the present invention are shown for convenience of description.

[0032] Such as figure 1 As shown, the space vector data index and query method based on HBase distributed storage provided by the embodiment of the present invention includes the following ...

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Abstract

The invention is suitable for the technical field of geographic information, and provides a space vector data indexing and querying method based on HBase distributed storage. The method comprises the following steps: establishing a space database meta-table, each record in the space database meta-table corresponding to a space vector data set table; and querying the space vector data set table by each server node according to query conditions, and returning a query result to a client. According to the invention, a RowKey index is composed of partitions, spaces, attributes, object IDs and the like, the organization mode of vector space data can be effectively improved, and therefore redundant storage of the data is avoided; meanwhile, a partitioning strategy is self-defined, so that the data can be automatically and uniformly distributed to each server node, and the resource utilization rate of each node of the cluster is relatively balanced; in addition, a space coding method based on the XZ-Ordering thought is adopted, and the problem that line and surface elements cross geographic grids can be effectively solved.

Description

technical field [0001] The invention belongs to the technical field of geographic information, and in particular relates to a space vector data index and query method based on HBase distributed storage. Background technique [0002] Spatiotemporal big data is an important part of big data and a basic information resource. With the gradual implementation of the national big data strategy, the data assets of government departments are becoming more and more perfect, which makes the total amount of spatiotemporal big data continue to increase. [0003] Traditional relational databases have been difficult to meet the storage, management and query applications of massive spatiotemporal big data. Therefore, it is urgent to break through the performance bottleneck of relational databases in mass data storage management and retrieval. In recent years, a number of excellent NoSQL (Not Only SQL, not just SQL) distributed databases have emerged in the field of big data storage, the m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/215G06F16/2455G06F16/27G06F16/29
CPCG06F16/2255G06F16/215G06F16/2455G06F16/278G06F16/29
Inventor 吴杰尹心亮陈奇
Owner 吉奥时空信息技术股份有限公司
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