Database data sample acquisition

Abstract

The invention relates to database data sample acquisition, and belongs to the technical field of database data query. During the data sample acquisition process, each data is subjected to the data screening and processing process that whether each data satisfies a data sample acquisition rule or not is judged to obtain the rule satisfaction case of each data; whether the rule satisfaction case of each data exists in a target list used for recording data samples or not is judged, if the rule satisfaction case of the data exists in the target list, the data is not acquired to the target list, if the rule satisfaction case of the data does not exist in the target list, the data needs to be acquired and is updated and stored in the target list, and the rule satisfaction case corresponding to the data is also updated and stored in the target list. The existing data sample of the target list is displayed, based on the display, whether the corresponding data sample acquisition rule needs to be adjusted and configured or not can be operationally judged. By employing the database data sample acquisition method, automatic and continuous acquisition can be achieved easily, the data acquisition and query efficiency is high, data redundancy is less, and the rule is flexible and changeable.

Description

technical field [0001] The invention belongs to the technical field of data query of databases, and relates to a process of collecting data samples, in particular to data sample collection with variable rules and capable of continuous collection, and data query based on the collection method. Background technique [0002] With the advent of the era of big data, the data query of massive databases in the database has become more and more difficult and time-consuming. In the prior art, there are various programs or scripts to complete the data query of the database according to a certain rule, but there is no effective method for continuously collecting data samples from the database. [0003] At present, the collection of database data samples is mainly done by professional technicians writing database scripts to screen and merge data samples. This method requires special personnel to maintain, takes a long time, and the data is prone to high redundancy, which is difficult to...

AI Technical Summary

Problems solved by technology

[0003] At present, the collection of database data samples is mainly done by professional technicians writing database scripts to screen and merge data samples. This method requires special personnel to maintain, takes a long time, and the data is prone to high redundancy, which is difficult to persist for a long time. To a large extent, it depends on the professional level of the user, especially when the amount of source data and target data are very large, the problems of slow processing speed, high data redundancy, and high maintenance and management costs are more prominent

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