Multi-version parallel upgrading control method and system

Abstract

The invention discloses a multi-version parallel upgrading control method comprising steps that a server receives a version upgrading request sent by a client; current version information related to the client and carried in the version upgrading request is read; an upgraded version stored in the server is matched with the current version information of the client to acquire at least one upgraded version; according to upgraded version numbers, clients with the same number as the clients requiring upgrade are selected to be a sample of each upgraded version; the selected number is named as a start margin of each sample; upgrade available margin of each sample is determined in parallel; and when enough sample upgrade margin exists, a corresponding upgraded version and related upgrading information are returned to the client giving the request in the sample. Multi-versions can be upgraded at the same time; and linear increase of version upgrading time can be avoided, so version upgrading time can be shortened.

Description

technical field [0001] The present application relates to the technical field of version upgrade management and control, and in particular, relates to a method and system for multi-version parallel upgrade control. Background technique [0002] The existing electronic equipment system version needs to be updated according to the database system and new technology, so the product system needs to be updated according to the new version. And now there may be more than one type of upgrade version. Generally, for the client version, an upgradeable target version is provided in the background system, that is, a release version, which contains multiple upgradeable versions. In order to compare the functional effects of various product versions, it is often necessary to compare the effect of sample upgrades on the client product versions. During the sampling comparison process, it is necessary to set the client sample size of each upgraded version to be consistent in order to obtain...

AI Technical Summary

Problems solved by technology

[0011] 1. In the existing technology, the serial upgrade method is adopted for the client version, the target version is upgraded sequentially, and the upgrade of the next version is started on the basis of the upgrade of the previous version. In this way, the release upgrade time will be delayed. The linear increase, consumes a lot of time

[0012] 2. During the version upgrade process, because multiple upgrades need to be performed serially, the upgrade time period and time consumption of different release versions will be different, and due to different time periods and different client attributes, such as activity and regional attributes, this will lead to inconsistencies in the number of client samples in the upgrade time period of different releases, which will eventually lead to differences in product comparison effects

[0013] 3. The existing technology upgrades the version in a serial manner. When there is a requirement for the number of client samples, it is easy to exceed the total number of client samples, which may lead to insufficient samples for subsequent version upgrades, resulting in customer Inconsistencies in the number of end-to-end samples will eventually result in differences in the comparison of product version effects

[0014] 4. When the version serial upgrade needs to compare the effects of many versions, it is also necessary to compare each version to determine the target version and arrange the upgrade sequence of each version. The operation is cumbersome and takes a certain amount of time

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