Electronic message parsing component based on node descriptors

Abstract

The invention discloses an electronic message parsing component based on node descriptors. The electronic message parsing component comprises a message parsing component, a node selection component, a navigation and positioning component, a node traversing component and an incremental updating component, wherein the message parsing component is used for loading an incoming electronic message byte stream to a memory buffer area and adapting different character set encoding formats so as to establish the node descriptors for electronic message nodes; the node selection component is used for selecting the nodes according to the node descriptors; the navigation and positioning component is used for selecting the nodes according to path descriptors; the node traversing component is used for traversing repeated nodes; the incremental updating component is used for carrying out delete operation, modified operation and incremental operation on the electronic message nodes. According to the parsing component disclosed by the embodiment of the invention, the parsing performance of electronic messages can be improved, the system memory overhead in the parsing process is reduced, and the usability of application programs processing the electronic messages is improved.

Description

technical field [0001] The invention relates to the technical field of application software, in particular to an electronic message parsing component based on a node descriptor. Background technique [0002] In related technologies, electronic message parsing methods include stream parsing and object parsing for structured electronic messages. Among them, streaming parsing includes push parsing and pull parsing. Streaming parsing is driven by events, such as the start and end of nodes of electronic messages, syntax analysis errors and other events, while object parsing is based on events such as electronic message Nodes build a tree structure in memory, so as to achieve the function of random access. [0003] Relatively speaking, although streaming parsing has high efficiency and low system overhead, it is difficult for applications to search, modify, add, and delete electronic messages due to the fact that it does not support random access. Difference. However, although ...

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Problems solved by technology

[0003] Relatively speaking, although streaming parsing has high efficiency and low system overhead, it is difficult for applications to search, modify, add, and delete electronic messages due to the fact that it does not support random access. Difference

However, although object-based parsing is easy to use, its performance is poor, and it takes up a lot of memory, resulting in low e-mail processing efficiency, especially for large-scale e-mail processing. Experience

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