Data volume processing method and device, electronic equipment, medium and program product
A processing method and data volume technology, applied in the field of cloud computing, can solve problems such as errors or network abnormalities, interruption of operation and maintenance operations, failure to be 100% correct, etc., and achieve the effect of avoiding call exceptions
Active Publication Date: 2021-11-16
BEIJING SINO BRIDGE TECH CO LTD
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Problems solved by technology
The cloud platform uses the block storage resources of the storage system to provide external services by creating data volumes. For example, the cloud platform openstack is composed of many components that work together, but due to user misoperations or errors in the process of deleting data volumes or network abnormalities For other reasons, the call between components cannot be 100% correct in theory. For example, the volume information of a data volume on the called side has been deleted, but the calling database side shows that the data volume is still mounted. On the server instance, when the operation and maintenance operation related to the data volume is performed on the instance, the operation and maintenance operation will be interrupted because the volume information of the data volume no longer exists.
Method used
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[0061] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.
[0062] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or a plurality of other features, numbers, steps, acts, parts, parts or combinations thereof exist or are added.
[0063] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings...
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Embodiments of the invention disclose a data volume processing method and device, electronic equipment, a medium and a program product. The method comprises the steps of: acquiring data volume call log information in a current time sequence; taking the data volume call log information in a current time sequence as the input of a prediction model, and executing the prediction model to obtain a to-be-detected server instance output by the prediction model; inquiring identification information of all data volumes mounted on the to-be-detected server instance from a calling database side; on the basis of the identification information of all the data volumes mounted on the to-be-detected server instance, inquiring whether all the data volumes mounted on the to-be-detected server instance exist on the called side or not; and when the query result is no, based on the query result, changing the state of the information of the data volumes which do not exist on the called side in the calling database side into a deleted state. According to the data volume processing method and device, the error states of the data volumes can be predicted and modified in advance instead of being found during calling, and calling abnormity is avoided.
Description
technical field [0001] The present disclosure relates to the technical field of cloud computing, and in particular to a data volume processing method, device, electronic equipment, media and program product. Background technique [0002] In the era of cloud computing, through the connection between the cloud platform and the storage system, the cloud platform can use the massive storage resources of the storage system. The cloud platform uses the block storage resources of the storage system to provide external services by creating data volumes. For example, the cloud platform openstack is composed of many components that work together, but due to user misoperations or errors in the process of deleting data volumes or network abnormalities For other reasons, the call between components cannot be 100% correct in theory. For example, the volume information of a data volume on the called side has been deleted, but the calling database side shows that the data volume is still mo...
Claims
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IPC IPC(8): G06F3/06
CPCG06F3/0607G06F3/0644G06F3/067
Inventor 提广乾赵朝华王晓东沈强
Owner BEIJING SINO BRIDGE TECH CO LTD