A Storage Method for Determining the Priority of Multiple Data Sources Using a Retrieval Table

Abstract

The invention provides a storage method for determining the data source priority by adopting retrieval tables. The method comprises the following steps that the priorities of set data bits in data source group marking sequences and data bits in data source marking sequences are set to be sequentially reduced from the left side to the right side, and a first priority inquiry retrieval table and a second priority inquiry retrieval table are respectively built in a one-hot mode according to the value exhaustivity in the data source group marking sequences and the data source marking sequences; when data storage requests exist in a data passage, firstly, the first priority retrieval table is inquired according to the values in the data source group marking sequences to obtain a data source group with the highest priority; then, the second priority inquiry retrieval table is inquired according to the values in the data source marking sequences corresponding to the data source group to obtain a data source passage with the highest priority. The storage method provided by the invention has the advantages that resources stored in a memory are used for building a priority table, a traditional multi-condition branched judging method is replaced in a table look-up retrieval mode, and the logic depth of the original look-up mode is simplified through adopting a multi-stage grouped retrieval mode.

Description

technical field [0001] The invention relates to data processing technology, in particular to a method for acquiring data from multiple data sources and storing them according to priority. Background technique [0002] In data collection devices and data storage devices of business application systems, it is often necessary to cache or store information from multiple data sources. For example, multi-channel data acquisition equipment, multi-service information processor. For data sources that require key data identification and priority processing in the data processing business, the data needs to be stored according to the priority. For some control devices with single-processing model and multiple communication interfaces, a certain operation sequence needs to be established due to the complex requirements of communication interfaces and real-time processing requirements. [0003] In order to achieve the prioritization of data communication and storage, in engineering imp...

AI Technical Summary

Problems solved by technology

Using the multi-conditional branch judgment method, there are problems with complex identification and deep logic depth when the number of data sources is large, resulting in low computing performance and large resource consumption.

Independent storage control is adopted, which cannot be realized when the number of data sources is large

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