House transaction data synchronization method and device

Abstract

The embodiment of the invention provides a house transaction data synchronization method and device, and the method comprises the steps: obtaining the ID of a transaction request, and enabling the IDto be placed in an asynchronous queue of a laval framework; sending The ID of the transaction request to an NTS transaction system in the asynchronous queue mode, so that the NTS transaction system returns response information when receiving the transaction request,wherein the response information at least comprises a request response; If the form of the request response does not meet the preset requirement, enabling the transaction request corresponding to the request response to serve as a failure request, placing the ID corresponding to the failure request in a preset table of a database, and sending the failure request to the NTS transaction system again according to the preset table in preset time. According to the embodiment of the invention, the convenience of subsequent extractionis ensured, and the synchronization efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data synchronization, and more specifically, to a method and device for synchronizing housing transaction data. Background technique [0002] The visualization system obtains more than 100,000 user transaction data from the NTS (Network Test System) trading system every day. Due to the large number of concurrency, the transaction system will reject some requests (more than 1,000), and transaction data will be lost. [0003] In view of the loss of business data, the existing technology is to add a log to the synchronization request in the visualization system. Various data are recorded in the log, such as access records, operation records, request time, etc., and then the synchronization is periodically extracted from the log. The request ID of the failed transaction data is then statistically summarized, and then re-executed one by one according to the ID of the transaction request t...

AI Technical Summary

Problems solved by technology

The problem that exists in this way is: due to the large number of servers in the visualization system (usually 10-20), it is difficult to extract failure data from the log (because there are other access and operation records in the log, the log of each machine every day is usually Hundreds of thousands of lines), resulting in low labor efficiency and high cost

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