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Exception prompting method, device and system for big data product, equipment and medium

A big data and abnormal technology, applied in electrical digital data processing, instruments, hardware monitoring, etc., can solve problems such as inconvenient viewing, long time-consuming, and complicated error messages for operation and maintenance personnel

Active Publication Date: 2019-10-18
WEBANK (CHINA)
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Problems solved by technology

[0004] The present invention proposes a method, device, system, equipment, and medium for abnormal prompting of big data products, aiming to solve the problem that operation and maintenance personnel are inconvenient to check due to the complicated and irregular error information of current big data products, and require relatively high cost. It takes a long time to understand the technical problem of the abnormal cause

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  • Exception prompting method, device and system for big data product, equipment and medium
  • Exception prompting method, device and system for big data product, equipment and medium
  • Exception prompting method, device and system for big data product, equipment and medium

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Embodiment Construction

[0067] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] Such as figure 1 as shown, figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0069] The abnormal prompt device of the big data product in the embodiment of the present invention may be a terminal; figure 1 As shown, the abnormal prompt device of the big data product may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired...

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Abstract

The invention relates to the technical field of big data of financial science and technology, and discloses an exception prompting method for a big data product, which comprises the following steps of: when it is detected that the big data product is exceptional, obtaining error information corresponding to the exception; calling an error code client SDK, and requesting an exception and error codemapping relation table corresponding to the big data product from an error code server through the error code client SDK; when the exception and error code mapping relation table is requested successfully, instantiating an error code processor through an error code client SDK according to the exception and error code mapping relation table; and processing the error information through an error code processor to obtain an error code and an error description matched with the error information, and outputting the error code and the error description. The invention further discloses an exceptionprompting device, system and equipment for the big data product and a medium. Error information of big data products is converted into error codes and error descriptions, so that operation and maintenance personnel can check the error codes and the error descriptions conveniently, and the efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of big data of financial science and technology (Fintech), in particular to a method, device, system, equipment and medium for abnormal prompting of big data products. Background technique [0002] With the rapid development of Internet technology, especially Internet financial technology (Fintech), more and more technologies (big data, distributed, blockchain, artificial intelligence, etc.) are applied in the financial field. [0003] In the big data Hadoop ecosystem, major data products, such as Hive and Spark, are widely used in the financial field. When the current major data products in the Hadoop ecosystem experience abnormalities, they always throw a Java Exception (Java error). Java Exception carries a long list of exception stack information. This error reporting method is more complicated for operation and maintenance personnel who are new to big data products. In order to understand the c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/32
CPCG06F11/3086G06F11/321
Inventor 尹强刘有王和平黄山杨峙岳邸帅卢道和
Owner WEBANK (CHINA)
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