Huawei Technologies Co., Limited

Huawei Cloud Computing Technologies Co., Ltd.

Qiang Tong

Jian Li

Bo Shang

Zongchao Liu

A method includes determining a first node set and a second node set that are in a distributed database and that are separately associated with a first data table, where data in the first data table is stored in the first node set, migrating the data from the first node set to the second node set, receiving, in a process of migrating the data, a target service request for the first data table, determining, in response to the target service request, a third node set in the first node set and the second node set that is configured to respond to the target service request, and sending the target service request to a first data node in the third node set.

Data redistribution method, apparatus, and system

Embodiments of the present disclosure provide a data query method and apparatus, which implement a technical effect that data meeting a precision requirement is queried according to a user's requirement of for data precision. The method includes: receiving a query instruction that includes a query condition and query precision; determining a data partition that meets the query condition; determining a data sub-partition corresponding to the query precision from the data partition; and querying data in the data sub-partition to obtain a query result.

Data query method and apparatus

A parallel execution method and apparatus in a terminal database, where the method includes determining, by a terminal, each thread central processing unit (CPU) based on a preset degree of parallelism, where the degree of parallelism is a quantity of threads executed in parallel, obtaining, by the terminal, a frequency of each thread CPU, calculating a frequency proportion of the thread CPUs, dividing, by the terminal, a to-be-queried data table in the terminal database into data partitions based on the frequency proportion of the thread CPUs, determining a data partition corresponding to each thread CPU, and querying in parallel, by the terminal, data in the corresponding data partition using each thread CPU.

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Beijing, China

Qiang Tong