Data query method based on Redis and HBase and related equipment

A data query and data technology, applied in the field of big data, can solve the problem that the database and processing technology cannot meet the real-time and high-concurrency query requirements of business data at the level of 100 million or more, so as to meet the real-time high-concurrency query requirements and reduce query pressure Effect

Active Publication Date: 2020-12-04
CHINA PING AN PROPERTY INSURANCE CO LTD
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Problems solved by technology

[0003] The main purpose of this application is to provide a data query method and related equipment based on Redis and HBase, aiming to solve the problem that traditional databases and processing technologies are difficult to meet the requirements of billion-level and Technical issues related to the real-time and high-concurrency query requirements of the above business data

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  • Data query method based on Redis and HBase and related equipment
  • Data query method based on Redis and HBase and related equipment
  • Data query method based on Redis and HBase and related equipment

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Embodiment Construction

[0040] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.

[0041] The technical terms used in this application are as follows:

[0042] Redis is a remote dictionary service. It is an open source written in ANSI C language, supports the network, can be based on memory and can be persistent log type, Key-Value database, and provides APIs (interfaces) in multiple languages. Redis is a key-value storage system.

[0043] HBase, also known as Hadoop Database, is a highly reliable, high-performance, column-oriented, and scalable distributed storage system. Using HBase technology, a large-scale structured storage cluster can be built on ...

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Abstract

The invention relates to the technical field of big data, and discloses a data query method based on Redis and HBase and related equipment, and the method comprises the steps: carrying out index querythrough Redis according to a query condition to obtain a first target row key, sending the first target row key to a client according to a request identifier, wherein the first target row key comprises non-primary key information of HBase; receiving a target query row key sent by the client through the HBase, and sending the target query row key to the Zookeeper, wherein the target query row keyis determined according to the first target row key; determining a target data position according to the target query row key through a Zookeeper, and sending the target data position to the HBase; and performing data query according to the target data position through the HDFS to obtain target data corresponding to the target query row key, and sending the target data to the client. Therefore, the real-time high-concurrency query requirement of large-batch data is met.

Description

technical field [0001] This application relates to the field of big data, in particular to a data query method and related equipment based on Redis and HBase. Background technique [0002] With the development of technology, more and more business data with a level of 100 million or more has been applied, and the timely query of the data can better reflect the application value of the data. However, traditional databases and processing technologies are difficult to meet the real-time and high-concurrency query requirements of business data at the level of 100 million or more. Contents of the invention [0003] The main purpose of this application is to provide a data query method and related equipment based on Redis and HBase, aiming to solve the technical problem that traditional databases and processing technologies are difficult to meet the real-time and high-concurrency query requirements of business data at the level of 100 million or more. [0004] In order to achie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/182G06F16/14G06F16/2457G06F16/2455G06F16/2453
CPCG06F16/182G06F16/148G06F16/2457G06F16/24552G06F16/24532Y02D10/00
Inventor 肖舒涛
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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