CN106909661B - Topological graph generation method and device - Google Patents
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Abstract
The embodiment of the invention discloses a topological graph generation method and a device, comprising the following steps: acquiring data to be processed from a cloud platform; according to the data structure of the preset topological graph, data to be processed of different data types are respectively sequenced to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph; acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure. According to the technical scheme in the embodiment of the invention, the data to be processed corresponding to each data type and conforming to the preset topological graph data structure can be obtained; and the data attribute of each to-be-processed data in the preset topological graph data structure, which accords with the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in the preset topological graph data structure.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a topological graph generation method and a topological graph generation device.
Background
The cloud platform is a resource integration platform for managing various cloud resources, and the topological graph is a graph capable of visually representing the logical relationship between data, so that the topological graph is generally used for displaying the relationship between data in the cloud platform, and is used for representing the resource relationship of the cloud platform, representing the logical relationship between services, performing large-screen demonstration and the like. Because the data displayed in the topological graph all follow a certain logical relationship, the data generated by each module in the cloud platform is generally disordered and unordered, has no logical relationship, does not conform to the data structure of the topological graph, and cannot directly generate the topological graph.
Therefore, how to provide a method for generating a topological graph according to data generated by a cloud platform becomes a technical problem to be solved urgently at present.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for generating a topological graph, which can generate the topological graph according to data generated by a cloud platform.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
a topological graph generation method comprises the following steps:
acquiring data to be processed from a cloud platform;
according to the data structure of the preset topological graph, data to be processed of different data types are respectively sequenced to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph;
acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure;
and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure.
Preferably, the process of respectively sorting the data to be processed of different data types according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph includes:
determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
and aiming at the data to be processed under each data type, dividing the data to be processed at different data levels into different data structure layers of the preset topological graph according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph.
Preferably, before acquiring the data attribute of each to-be-processed data in the preset topological graph data structure, the method further includes:
and sequencing the data to be processed in different data structure layers divided into the preset topological graph according to a preset sequencing rule.
Preferably, the process of acquiring the data attribute of each to-be-processed data in the preset topological graph data structure, which conforms to the preset topological graph data structure, includes:
and acquiring data attributes of the data to be processed in the preset topological graph data structure according with the position of the data to be processed in the preset topological graph data structure and the relation between the data to be processed in the preset topological graph data structure and other data to be processed.
Preferably, the data attributes include: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
A topology map generation apparatus comprising:
the data processing device comprises a to-be-processed data acquisition unit, a processing unit and a processing unit, wherein the to-be-processed data acquisition unit is used for acquiring to-be-processed data from a cloud platform;
the first sequencing unit is used for respectively sequencing the data to be processed of different data types according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph;
the data attribute acquisition unit is used for acquiring the data attributes of the data to be processed which accord with the preset topological graph data structure in the preset topological graph data structure;
and the topological graph generating unit is used for generating a topological graph according to the data attribute of each data to be processed in a preset topological graph data structure.
Preferably, the first sorting unit includes:
the data grade determining module is used for determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
and the dividing unit is used for dividing the data to be processed at different data levels into different data structure layers of the preset topological graph according to the data structure of the preset topological graph aiming at the data to be processed under each data type to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph.
Preferably, the method further comprises the following steps:
and the second sequencing unit is used for sequencing the data to be processed which are divided into different data structure layers of the preset topological graph according to a preset sequencing rule.
Preferably, the data attribute acquiring unit includes:
and the data attribute acquiring subunit is used for acquiring the data attribute of each piece of data to be processed in the preset topological graph data structure, which accords with the preset topological graph data structure, according to the position of each piece of data to be processed in the preset topological graph data structure and the relation between each piece of data to be processed in the preset topological graph data structure and other pieces of data to be processed.
Preferably, the data attributes include: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
Based on the technical scheme, the embodiment of the invention discloses a topological graph generation method and a device, wherein the topological graph generation method comprises the following steps: acquiring data to be processed from a cloud platform; according to the data structure of the preset topological graph, data to be processed of different data types are respectively sequenced to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph; acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure. According to the technical scheme in the embodiment of the invention, the data to be processed corresponding to each data type and conforming to the preset topological graph data structure can be obtained; and the data attribute of each to-be-processed data in the preset topological graph data structure, which accords with the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in the preset topological graph data structure.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a topology generating method according to an embodiment of the present invention;
fig. 2 is a flowchart of another topology generating method according to an embodiment of the present invention;
fig. 3 is a block diagram of a topology generating apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The nodes on the topological graph are drawn based on the Canvas, and because all plug-ins adopted by the cloud platform are developed based on the Canvas, a data structure suitable for the Canvas is found, and the nodes can adapt to all topological graphs. To make the topology map appear in a specified style, some basic properties are defined for each node. The basic attributes of each node in the topology map include node coordinates, node icon, node size, node status, node hierarchy, and node name, which are basic attributes of a node. There are also links between nodes, so the data structure needs to have data representing data connection, if it is a directed line, it needs to specify the starting point and the end point, if it is a non-directed line, only two nodes need to be given. Therefore, it is critical to make the topology simple and easy to use to formulate a canonical data structure. In the current cloud platform, the provided interfaces are mostly unordered and are not according to the data structure required by the topological graph. Because the data collected in the background cannot clearly know what structure needs to be displayed. Not only in the cloud platform, but also in many external interfaces, such as some interfaces provided by OpenStack, unordered unstructured data. For these data, the following topological graph generation method is provided in the embodiments of the present invention.
Fig. 1 shows a flowchart of a topology generation method, which is implemented based on Canvas, and the method may include:
s100, acquiring data to be processed from a cloud platform;
it should be noted that, in the embodiment of the present invention, to-be-processed data may be acquired from multiple modules of a cloud platform, a structure of a preset topological graph determines a source of the to-be-processed data, and when the preset topological graph is to show a cloud resource structure, the to-be-processed data needs to be acquired from multiple modules of a virtual data center, a cluster, a virtual control center, a host, a storage, and the like in the cloud platform.
In the embodiment of the invention, the data to be processed can be acquired from the cloud platform by using a data transmission mechanism of the cloud platform.
Step S110, according to a data structure of a preset topological graph, sorting the data to be processed of different data types respectively to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph;
the data structure of the preset topology map may be a tree structure or a hierarchical structure, and the embodiment of the present invention is not particularly limited.
Because the topological graph generally has a root node, the data of the root node is the topmost data in the data to be processed, and can be the data with the highest priority, when the topological graph is preset to show a cloud resource structure, the data in the general virtual control center is the topmost data and is used as the data at the root node; when the preset topological graph shows a monitoring result, data in the top service node or the resource category is the data of the top layer and is used as the data of the root node.
In the embodiment of the invention, the data to be processed of different data types can be respectively sequenced according to the sequence from the root node to the child node and from the father node to the child node in the topological graph structure.
Step S120, acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure;
it should be noted that the data attributes include: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
The identification number of the data to be processed in the preset topological graph data structure can uniquely identify the data to be processed; the father node identification number of the data to be processed in the preset topological graph data structure is the father node identification number of the data to be processed; the sequence numbers of the data to be processed in the preset topological graph data structure are sequence numbers for respectively sequencing the data to be processed of different data types according to the data structure of the preset topological graph; coordinates of the data to be processed in a preset topological graph data structure can be represented by plane (x, y) coordinates; the identification number of the pointing node of the data to be processed in the preset topological graph data structure is the identification number of another data to be processed to which the data to be processed points.
Step S130, generating a topological graph according to the data attributes of the data to be processed in the preset topological graph data structure.
In the embodiment of the invention, the topological graph can be generated according to at least one data attribute of the identification number, the name, the father node identification number, the sequence number, the level, the coordinate and the pointing identification number of each piece of data to be processed in the preset topological graph data structure.
It should be noted that, in the embodiment of the present invention, a topology map plug-in of the interface may be used to generate the topology map, where the topology map plug-in is directed to HTML 5.
The embodiment of the invention discloses a topological graph generation method and a device, comprising the following steps: acquiring data to be processed from a cloud platform; according to the data structure of the preset topological graph, data to be processed of different data types are respectively sequenced to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph; acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure. According to the technical scheme in the embodiment of the invention, the data to be processed corresponding to each data type and conforming to the preset topological graph data structure can be obtained; and the data attribute of each to-be-processed data in the preset topological graph data structure, which accords with the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in the preset topological graph data structure. The ordering and formatting of irregular unordered data in the cloud platform are achieved. For the topological graph in the cloud platform, the workload of data processing is reduced, the display part of the topological graph is simple and convenient, and the codes of the topology display part are optimized.
Next, another method for generating a topology map is specifically described in the embodiment of the present invention, please refer to a flowchart of the method for generating a topology map disclosed in fig. 2, and the method may include:
s200, acquiring data to be processed from a cloud platform;
step S210, determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
step S220, aiming at the data to be processed under each data type, dividing the data to be processed at different data levels into different data structure layers of a preset topological graph according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph;
it should be noted that the data to be processed at the same data level are divided into the same data group, the data to be processed in the same data group have the same data level, each data to be processed in the same data group corresponds to a sequence number, and the data to be processed are arranged according to the sequence of the sequence numbers from small to large.
Step S230, sorting the data to be processed in different data structure layers divided into the preset topological graph according to a preset sorting rule;
it should be noted that, in the embodiment of the present invention, the data to be processed, which are divided into different data structure layers of the preset topological graph, may be sorted according to a time rule, and may also be sorted according to an installation name, which is not specifically limited in the embodiment of the present invention.
Step 240, acquiring data attributes of each piece of data to be processed in a preset topological graph data structure according with the position of each piece of data to be processed in the preset topological graph data structure and the relation between each piece of data to be processed and other pieces of data to be processed in the preset topological graph data structure;
and step S250, generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure.
The sorting algorithm adopted in the topological graph generating method disclosed by the embodiment of the invention mainly considers the simplicity and the rapidness of the algorithm, sacrifices some space complexity and reduces time complexity. The topological graph can be generated quickly and accurately, the probability of engine cache overflow is reduced, direct application is realized, and code compiling of a topological part is reduced.
In the following, the topology generating apparatus provided in the embodiment of the present invention is introduced, and the topology generating apparatus described below may be referred to in correspondence with the above topology generating method.
Fig. 3 is a block diagram of a topology generating apparatus according to an embodiment of the present invention, where the topology generating apparatus may include:
a to-be-processed data acquiring unit 100, configured to acquire to-be-processed data from a cloud platform;
the first sorting unit 110 is configured to sort the to-be-processed data of different data types according to the data structure of the preset topological graph, so as to obtain the to-be-processed data corresponding to each data type and conforming to the data structure of the preset topological graph;
a data attribute obtaining unit 120, configured to obtain data attributes of each to-be-processed data that conforms to the preset topological graph data structure in the preset topological graph data structure;
the topological graph generating unit 130 is configured to generate a topological graph according to data attributes of each to-be-processed data in a preset topological graph data structure.
The first sorting unit includes:
the data grade determining module is used for determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
and the dividing unit is used for dividing the data to be processed at different data levels into different data structure layers of the preset topological graph according to the data structure of the preset topological graph aiming at the data to be processed under each data type to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph.
Further comprising:
and the second sequencing unit is used for sequencing the data to be processed which are divided into different data structure layers of the preset topological graph according to a preset sequencing rule.
The data attribute acquisition unit includes:
and the data attribute acquiring subunit is used for acquiring the data attribute of each piece of data to be processed in the preset topological graph data structure, which accords with the preset topological graph data structure, according to the position of each piece of data to be processed in the preset topological graph data structure and the relation between each piece of data to be processed in the preset topological graph data structure and other pieces of data to be processed.
The data attributes include: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
In summary, the following steps:
the embodiment of the invention discloses a topological graph generation method and a device, comprising the following steps: acquiring data to be processed from a cloud platform; according to the data structure of the preset topological graph, data to be processed of different data types are respectively sequenced to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph; acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure. According to the technical scheme in the embodiment of the invention, the data to be processed corresponding to each data type and conforming to the preset topological graph data structure can be obtained; and the data attribute of each to-be-processed data in the preset topological graph data structure, which accords with the preset topological graph data structure; and generating a topological graph according to the data attributes of the data to be processed in the preset topological graph data structure.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for generating a topological graph, comprising:
acquiring data to be processed from a cloud platform;
respectively sequencing the data to be processed of different data types according to the sequence from a root node to a child node and from a father node to a child node in a preset topological graph structure to obtain the data to be processed corresponding to each data type and conforming to the preset topological graph data structure;
acquiring data attributes of each to-be-processed data which accords with a preset topological graph data structure in the preset topological graph data structure;
and generating a topological graph according to the data attributes of the data to be processed in a preset topological graph data structure.
2. The method according to claim 1, wherein the process of respectively sorting the data to be processed of different data types according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph comprises:
determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
and aiming at the data to be processed under each data type, dividing the data to be processed at different data levels into different data structure layers of the preset topological graph according to the data structure of the preset topological graph to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph.
3. The method according to claim 2, before obtaining the data attribute of each data to be processed in the preset topological graph data structure, which conforms to the preset topological graph data structure, further comprising:
and sequencing the data to be processed in different data structure layers divided into the preset topological graph according to a preset sequencing rule.
4. The method according to any one of claims 1 to 3, wherein the process of acquiring the data attribute of each piece of data to be processed conforming to the preset topological graph data structure in the preset topological graph data structure comprises:
and acquiring data attributes of the data to be processed in the preset topological graph data structure according with the position of the data to be processed in the preset topological graph data structure and the relation between the data to be processed in the preset topological graph data structure and other data to be processed.
5. The method of claim 4, wherein the data attributes comprise: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
6. A topology map generation apparatus, comprising:
the data processing device comprises a to-be-processed data acquisition unit, a processing unit and a processing unit, wherein the to-be-processed data acquisition unit is used for acquiring to-be-processed data from a cloud platform;
the first sequencing unit is used for respectively sequencing the data to be processed of different data types according to the sequence from a root node to a child node and from a father node to the child node in the preset topological graph structure to obtain the data to be processed corresponding to each data type and conforming to the preset topological graph data structure;
the data attribute acquisition unit is used for acquiring the data attributes of the data to be processed which accord with the preset topological graph data structure in the preset topological graph data structure;
and the topological graph generating unit is used for generating a topological graph according to the data attribute of each data to be processed in a preset topological graph data structure.
7. The apparatus of claim 6, wherein the first sequencing unit comprises:
the data grade determining module is used for determining the data grade corresponding to the data to be processed under each data type according to the data characteristics corresponding to different data types;
and the dividing unit is used for dividing the data to be processed at different data levels into different data structure layers of the preset topological graph according to the data structure of the preset topological graph aiming at the data to be processed under each data type to obtain the data to be processed corresponding to each data type and conforming to the data structure of the preset topological graph.
8. The apparatus of claim 7, further comprising:
and the second sequencing unit is used for sequencing the data to be processed which are divided into different data structure layers of the preset topological graph according to a preset sequencing rule.
9. The apparatus according to any one of claims 6 to 8, wherein the data attribute obtaining unit comprises:
and the data attribute acquiring subunit is used for acquiring the data attribute of each piece of data to be processed in the preset topological graph data structure, which accords with the preset topological graph data structure, according to the position of each piece of data to be processed in the preset topological graph data structure and the relation between each piece of data to be processed in the preset topological graph data structure and other pieces of data to be processed.
10. The apparatus of claim 9, wherein the data attributes comprise: and at least one of an identification number, a name, a parent node identification number, a sequence number, a hierarchy, a coordinate and a pointing identification number of the data to be processed in the preset topological graph data structure.
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| CN104410537A (en) * | 2014-12-22 | 2015-03-11 | 上海斐讯数据通信技术有限公司 | Generation system of tree type network topological graph and generation method of tree type network topological graph |
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