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Storm based stream computing frame text index method and system

A stream computing and text technology, applied in the field of data processing, can solve problems such as the need to improve the performance of complex event processing, the difficulty in acquiring real-time information from highly dynamic sources, and the difficulty in identifying meaningful events.

Inactive Publication Date: 2016-09-07
YUNNAN UNIV +2
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Problems solved by technology

[0004] The purpose of the present invention is to provide a text indexing method and system based on the Storm flow computing framework, aiming to solve the problems of diversity and heterogeneity of online resources, difficulty in obtaining real-time information from highly dynamic sources, and the need to improve the performance of complex event processing. Difficulty identifying meaningful events in torrents and processing them in real time

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  • Storm based stream computing frame text index method and system
  • Storm based stream computing frame text index method and system
  • Storm based stream computing frame text index method and system

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[0062]In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0063] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0064] Such as figure 1 As shown, the text indexing method based on the Storm flow computing framework in the embodiment of the present invention includes the following steps:

[0065] S101: Design the real-time data processing framework of Storm, and complete the automatic web page extraction program of web crawler;

[0066] S102: Automatically extract keywords, read and place webpage files, perform word segmentation, filter out words that should be deleted therein according to the d...

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Abstract

The invention discloses a Storm based stream computing frame text index method and system. The Storm based stream computing frame text index method includes: implementing topology of a storm, designing a Storm real-time data processing frame, and completing a webpage automatic extraction program of a web spider; automatically extracting key words; and classifying texts: classifying texts into one or more classifications according to content or attributes of the texts. The method and the system can allow backup data back in the conditions of data corruption or data loss, and recovers data; the function of centralized operation and maintenance of the system can be provided; an interface is beautiful and practical, and a convenient and visual graphical user management interface is achieved; function expansion can meet the demands of a user for later system expansion and use range expansion; and fault tolerance allows the system to have a certain fault tolerance mechanism when illegal data generates due to user input or wrong operations.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a text indexing method and system based on a Storm stream computing framework. Background technique [0002] Storm is an open-source, big data processing system that, unlike other systems, is designed for distributed real-time processing and is language-neutral. Hadoop focuses on batch processing. This model is sufficient for many situations (such as indexing web pages), but there are other usage models that require real-time information from highly dynamic sources. To solve this problem, we have to use Storm (now called BackType in Twitter) by NathanMarz. Storm doesn't handle static data, but it handles streaming data that is expected to be continuous. Considering that Twitter users generate 140 million tweets (tweets) every day, it's easy to see the enormous uses for this technology. But Storm isn't just a traditional big data analytics system: it's an e...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27G06K9/62
CPCG06F16/35G06F40/289G06F40/284G06F18/23213G06F18/24155
Inventor 罗磊蒋勰张永刚
Owner YUNNAN UNIV
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