CN111782766A - Method and system for retrieving all resources in Kubernetes cluster through keywords - Google Patents

Method and system for retrieving all resources in Kubernetes cluster through keywords Download PDF

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CN111782766A
CN111782766A CN202010613441.4A CN202010613441A CN111782766A CN 111782766 A CN111782766 A CN 111782766A CN 202010613441 A CN202010613441 A CN 202010613441A CN 111782766 A CN111782766 A CN 111782766A
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resources
cluster
server
retrieving
keywords
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CN111782766B (en
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马坚
张万能
林剑
林灿辉
黄超
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Fujian Jiankangzhilu Information Technology Co ltd
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Fujian Jiankangzhilu Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/3332—Query translation
    • G06F16/3334—Selection or weighting of terms from queries, including natural language queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/335—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/338—Presentation of query results

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  • Computational Linguistics (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
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  • Information Transfer Between Computers (AREA)

Abstract

The invention relates to the technical field of computers, in particular to a method and a system for retrieving all resources in a Kubernetes cluster through keywords. The method for retrieving all resources in the Kubernets cluster through keywords comprises the following steps: calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into a server memory; acquiring an input cluster name, acquiring an input keyword, and retrieving and filtering all resources in all Namespace in a server memory according to the cluster name and the keyword; and displaying the retrieval filtering result. The Namespace information does not need to be provided in the whole process, so that the Namespace does not need to be switched for retrieval for many times even under the condition that the Namespace is more, and the operation and management are convenient.

Description

Method and system for retrieving all resources in Kubernetes cluster through keywords
Technical Field
The invention relates to the technical field of computers, in particular to a method and a system for retrieving all resources in a Kubernetes cluster through keywords.
Background
The retrieval resource is a necessary function of a Kubernetes (K8S for short) management tool, the current retrieval mode is generally to select a cluster and Namespace, a keyword of a Delpoymet name is input in an input box, and the rear end calls Kubernetes API to perform fuzzy matching to retrieve the matched resource.
It can be found that the existing retrieval mode requires the user to provide three pieces of information, which are: the cluster name, Namespace name and the Delpoyment keyword, while the name of Delpoyment is only allowed to be composed of lowercase English, numbers and "-" in Kubernets, so that the distinguishing and memorizing are difficult, and the user experience is poor because the Chinese retrieval cannot be supported. In addition, in the case of many namespaces, it may be necessary to switch namespaces many times to search, which is extremely troublesome in daily management.
Disclosure of Invention
Therefore, a method for searching all resources in a Kubernetes cluster through keywords needs to be provided to solve the problems that the existing K8S searching mode is complex in searching operation and incomplete in searched resources, and the specific technical scheme is as follows:
a method of retrieving all resources in a kubernets cluster by keyword, comprising the steps of:
calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into a server memory;
acquiring an input cluster name, acquiring an input keyword, and retrieving and filtering all resources in all Namespace in a server memory according to the cluster name and the keyword;
and displaying the retrieval filtering result.
Further, the method also comprises the following steps:
monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server, and updating the latest data to the memory of the server.
Further, the monitoring whether the resource in the kubernets cluster is changed further includes the steps of:
calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
Further, the input keywords comprise one or more of the following: chinese, english, numbers, characters.
In order to solve the technical problem, a system for retrieving all resources in a kubernets cluster through keywords is also provided, and the specific technical scheme is as follows:
a system for retrieving all resources in a kubernets cluster by keyword, comprising: a client and a server;
the client is used for: calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into the server-side memory;
the client is further configured to: acquiring an input cluster name and sending the cluster name to the server, acquiring an input keyword and sending the keyword to the server;
the server is further configured to: retrieving and filtering all resources in all Namespace in the memory of the server side according to the cluster name and the keywords, and returning a retrieval and filtering result to the client side;
the client is further configured to: and displaying the retrieval filtering result.
Further, the client is further configured to: monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server, and updating the latest data to the memory of the server.
Further, the client is further configured to: calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
Further, the input keywords comprise one or more of the following: chinese, english, numbers, characters.
The invention has the beneficial effects that: and acquiring all resources in all Namespaces by calling a Kubernets API, caching all resources into a server memory, only acquiring cluster names and keywords when searching the resources, then searching and filtering all resources in all Namespaces in the server memory according to the cluster names and the keywords, and displaying the searching and filtering results. The Namespace information does not need to be provided in the whole process, so that the Namespace does not need to be switched for retrieval for many times even under the condition that the Namespace is more, and the operation and management are convenient.
In addition, K8S is a Google open source technology, and is not friendly to Chinese support, so that the search condition is limited to be composed of characters common in english environments such as english, numbers, underlines and the like. But any character can be included in the annotation, but since K8S does not provide support for the retrieval mode of the annotation, Chinese retrieval cannot be realized. In the technical scheme, all resources in Namespace are cached in the memory of the server, so that the Chinese retrievable effect can be achieved by retrieving Chinese in the annotation in the memory, and the user experience is greatly improved.
Drawings
FIG. 1 is a flowchart of a method for retrieving all resources in a Kubernets cluster via keywords according to an embodiment;
fig. 2 is a schematic block diagram of a system for retrieving all resources in a kubernets cluster through keywords according to an embodiment.
Description of reference numerals:
201. the client-side is connected with the server,
202. and a server side.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to fig. 1, in this embodiment, the method for retrieving all resources in a kubernets cluster through a keyword may be applied to a system for retrieving all resources in a kubernets cluster through a keyword, where the system for retrieving all resources in a kubernets cluster through a keyword includes: the client is in communication connection with the server. The specific implementation can be as follows:
step S101: and calling a Kubernetes API to acquire all resources in Namespace, and caching all the resources into a server memory.
Step S102: and acquiring the input cluster name. In this embodiment, the client is provided with a UI search interface, and the user can enter a K8S cluster by inputting the cluster name in the search box on the UI interface. In other embodiments, all cluster names may be displayed on the UI interface of the client, and the user enters the K8S cluster he wants to enter by clicking the corresponding cluster name.
After entering the desired cluster, step S103 is executed: and acquiring the input keywords. I.e. the user enters a keyword (the keyword may be any content containing chinese) on the UI.
After the server side obtains the cluster name and the keywords input by the client user, step S104 is executed: and searching and filtering all resources in all Namespace in the memory of the server side according to the cluster name and the keywords.
Step S105: and displaying the retrieval filtering result. The method specifically comprises the following steps: and the server returns the retrieval filtering result to the client, and the retrieval filtering result is displayed on the UI of the client.
And acquiring all resources in all Namespaces by calling a Kubernets API, caching all resources into a server memory, only acquiring cluster names and keywords when searching the resources, then searching and filtering all resources in all Namespaces in the server memory according to the cluster names and the keywords, and displaying the searching and filtering results. The Namespace information does not need to be provided in the whole process, so that the Namespace does not need to be switched for retrieval for many times even under the condition that the Namespace is more, and the operation and management are convenient.
Further, in order to ensure real-time performance of the returned results. Further comprising the steps of: monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server, and updating the latest data to the memory of the server.
Wherein said monitoring whether resources in a kubernets cluster have changed further comprises the steps of:
calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
Monitoring whether the resources in the Kubernetes cluster are changed in real time or at regular time, if so, deleting old data in a server memory, and updating latest data to the server memory. This ensures that the retrieved data returned to the client is up to date.
In this embodiment, the input keywords include one or more of the following: chinese, english, numbers, characters. Since K8S is a Google open source technology and is not friendly to chinese support, the search condition is limited to be composed of only characters that are common in english environments such as english, numbers, underlines, and the like. But any character can be included in the annotation, but since K8S does not provide support for the retrieval mode of the annotation, Chinese retrieval cannot be realized. In the technical scheme, all resources in Namespace are cached in the memory of the server, so that the Chinese retrievable effect can be achieved by retrieving Chinese in the annotation in the memory, and the user experience is greatly improved.
Referring to fig. 2, in this embodiment, a specific implementation of a system 200 for searching all resources in a kubernets cluster through keywords is as follows:
a system 200 for retrieving all resources in a kubernets cluster via keywords, comprising: a client 201 and a server 202;
the client 201 is configured to: calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into the memory of the server 202;
the client 201 is further configured to: acquiring an input cluster name and sending the cluster name to the server 202, acquiring an input keyword and sending the keyword to the server 202;
the server 202 is further configured to: retrieving and filtering all resources in all namespaces in the memory of the server 202 according to the cluster name and the keywords, and returning a retrieval and filtering result to the client 201;
the client 201 is further configured to: and displaying the retrieval filtering result.
In this embodiment, the client 201 is provided with a UI search interface, and the user can enter a K8S cluster by inputting the cluster name in the search box on the UI interface. In other embodiments, all cluster names may be displayed on the UI interface of the client 201, and the user enters the K8S cluster he wants to enter by clicking the corresponding cluster name.
Calling a Kubernetes API through the client 201 to obtain all resources in all Namespaces, caching all resources in the memory of the server 202, when resource retrieval is carried out, only a cluster name and keywords are needed to be obtained, then the server 202 carries out retrieval filtering on all resources in all Namespaces in the memory of the server 202 according to the cluster name and the keywords, and returns a retrieval filtering result to the client 201, and the client 201 displays the retrieval filtering result. The Namespace information does not need to be provided in the whole process, so that the Namespace does not need to be switched for retrieval for many times even under the condition that the Namespace is more, and the operation and management are convenient.
Further, in order to ensure real-time performance of the returned results. The client 201 is further configured to: monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server 202, and updating the latest data to the memory of the server 202.
Further, the client 201 is further configured to: calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
Monitoring whether the resources in the Kubernets cluster are changed or not in real time or at regular time through the client 201, if so, deleting old data in the memory of the server 202, and updating the latest data to the memory of the server 202. This ensures that the retrieved data returned to the client is up to date.
Further, the input keywords comprise one or more of the following: chinese, english, numbers, characters. Since K8S is a Google open source technology and is not friendly to chinese support, the search condition is limited to be composed of only characters that are common in english environments such as english, numbers, underlines, and the like. But any character can be included in the annotation, but since K8S does not provide support for the retrieval mode of the annotation, Chinese retrieval cannot be realized. In the technical scheme, all resources in Namespace are cached in the memory of the server 202, so that the Chinese retrievable effect can be achieved by retrieving Chinese in annotations in the memory, and the user experience is greatly improved.
It should be noted that, although the above embodiments have been described herein, the invention is not limited thereto. Therefore, based on the innovative concepts of the present invention, the technical solutions of the present invention can be directly or indirectly applied to other related technical fields by making changes and modifications to the embodiments described herein, or by using equivalent structures or equivalent processes performed in the content of the present specification and the attached drawings, which are included in the scope of the present invention.

Claims (8)

1. A method for retrieving all resources in a kubernets cluster by keywords, comprising the steps of:
calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into a server memory;
acquiring an input cluster name, acquiring an input keyword, and retrieving and filtering all resources in all Namespace in a server memory according to the cluster name and the keyword;
and displaying the retrieval filtering result.
2. The method of claim 1, further comprising the steps of:
monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server, and updating the latest data to the memory of the server.
3. A method of retrieving all resources in a Kubernets cluster by means of keywords according to claim 2,
the monitoring whether the resource in the Kubernets cluster is changed or not further comprises the following steps:
calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
4. A method of retrieving all resources in a Kubernets cluster by means of keywords according to claim 1,
the input keywords comprise one or more of the following: chinese, english, numbers, characters.
5. A system for retrieving all resources in a kubernets cluster via keywords, comprising: a client and a server;
the client is used for: calling a Kubernetes API to obtain all resources in Namespace, and caching all the resources into the server-side memory;
the client is further configured to: acquiring an input cluster name and sending the cluster name to the server, acquiring an input keyword and sending the keyword to the server;
the server is further configured to: retrieving and filtering all resources in all Namespace in the memory of the server side according to the cluster name and the keywords, and returning a retrieval and filtering result to the client side;
the client is further configured to: and displaying the retrieval filtering result.
6. A system for retrieving all resources in a Kubernets cluster by keywords according to claim 5,
the client is further configured to: monitoring whether the resources in the Kubernetes cluster are changed, if so, deleting old data in the memory of the server, and updating the latest data to the memory of the server.
7. A system for retrieving all resources in a Kubernets cluster by keyword as claimed in claim 6,
the client is further configured to: calling an HTTP API of the APIServer to monitor whether the resources in the Kubernetes cluster are changed or not in a long polling mode.
8. A system for retrieving all resources in a Kubernets cluster by keywords according to claim 5,
the input keywords comprise one or more of the following: chinese, english, numbers, characters.
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