CN107403403B - Business data analysis method and device - Google Patents
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Abstract
The embodiment of the application provides a service data analysis method, wherein the service data comprises a plurality of service nodes, and the service nodes have service attributes; the method comprises the following steps: acquiring original service data; converting the original service data into service data in a user-defined format according to a preset user-defined format; determining a target service node in the service data with the custom format; acquiring the service attribute of the target service node; and calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item. In the embodiment of the application, the service data in the custom format is analyzed by adopting a uniform analysis standard, so that the data quality of data analysis is improved. Any service record data which is recorded in series and has standard can be converted into service data with a custom format for analysis, and the application range is wide. The analysis method is simple to operate, and an analysis scheme can be quickly formed without programming knowledge.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a service data analysis method and a service data analysis apparatus.
Background
In the analysis of the traffic data, some specific problems often need to be analyzed by directing the traffic data recorded in series.
At present, there are two methods for analyzing serially recorded service data, one is to develop an analysis scheme for individual indexes, and the method has the disadvantage that the extraction of each index is realized by writing codes. Meanwhile, with the continuous development of services, the extraction method of the index also changes greatly. Often code needs to be rewritten to support this discrepancy. Meanwhile, most of the encoding personnel do not understand the definition and meaning of the index, and the deviation is easy to occur.
Alternatively, the business data is analyzed manually, and this method can only analyze a small amount of data. Once the data amount increases or the index extraction difficulty increases, the manpower is difficult to accomplish.
Disclosure of Invention
In view of the above problems, embodiments of the present application are proposed to provide a business data analyzing method and a corresponding business data analyzing apparatus that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present application discloses a method for analyzing service data, where the service data includes a plurality of service nodes, and each service node has a service attribute; the method comprises the following steps:
acquiring original service data;
converting the original service data into service data in a user-defined format according to a preset user-defined format;
determining a target service node in the service data with the custom format;
acquiring the service attribute of the target service node;
and calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item.
Preferably, the step of determining the target service node in the service data with the custom format includes:
deleting the repeated service nodes in the service data with the user-defined format to obtain duplication-removing service data;
and determining a target service node in the deduplication service data.
Preferably, the step of determining a target service node in the deduplication service data includes:
selecting a first node and a second node from the duplication removal service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
determining a target service node among the service nodes between the first node and the second node.
Preferably, the step of determining the target service node comprises:
and determining the node matched with the preset node identification as a target service node.
Preferably, the step of determining the node matched with the preset node identifier as the target service node includes:
and determining the nodes which are matched with the preset node identification and meet the preset precondition as target service nodes.
Preferably, the step of determining the node matched with the preset node identifier as the target service node includes:
and determining the nodes which are matched with the preset node identification and meet the preset post condition as target service nodes.
Meanwhile, the application also discloses a service data analysis device, wherein the service data comprises a plurality of service nodes, and the service nodes have service attributes; the device comprises:
the original service data module is used for acquiring original service data;
the format conversion module is used for converting the original service data into service data in a user-defined format according to a preset user-defined format;
the target service node determining module is used for determining a target service node in the service data with the custom format;
a service attribute obtaining module, configured to obtain a service attribute of the target service node;
and the calculation module is used for calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item.
Preferably, the target service node determination module further includes:
the duplication removing submodule is used for deleting the repeated service nodes in the service data with the custom format to obtain duplication removing service data;
and the duplicate removal node determining submodule is used for determining a target service node in the duplicate removal service data.
Preferably, the deduplication node determining submodule further includes:
the node selection submodule is used for selecting a first node and a second node in the duplicate removal service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
a range node determining submodule, configured to determine a target service node in the service nodes between the first node and the second node.
Preferably, the range node determination submodule further includes:
and the matching determination submodule is used for determining the node matched with the preset node identification as the target service node.
Preferably, the matching determination sub-module further includes:
and the preposed matching determining submodule is used for determining the node which is matched with the preset node identification and meets the preset preposed condition as the target service node.
Preferably, the matching determination sub-module further includes:
and the post matching determination submodule is used for determining the node which is matched with the preset node identification and meets the preset post condition as the target service node.
The embodiment of the application has the following advantages:
in the embodiment of the application, original service data is obtained through a custom file interface; converting the service data in various data formats into service data in a user-defined format according to the user-defined format; and calculating a custom analysis item by adopting a target service node in the custom format service data. In the embodiment of the application, the service data in the custom format is analyzed by adopting a uniform analysis standard, so that the data quality of data analysis is improved. Any service record data which is recorded in series and has standard can be converted into service data with a custom format for analysis, and the application range is wide. The analysis method is simple to operate, and an analysis scheme can be quickly formed without programming knowledge.
Drawings
Fig. 1 is a flowchart of steps of an embodiment 1 of a business data analysis method according to the present application;
fig. 2 is a flowchart of steps of an embodiment 2 of a business data analysis method according to the present application;
fig. 3 is a flowchart of steps of an embodiment 3 of a business data analysis method according to the present application;
fig. 4 is a block diagram of a service data analysis apparatus according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
One of the core ideas of the embodiment of the application is that business data in various data formats are converted into business data in a user-defined format according to the user-defined format; and calculating a custom analysis item by adopting a target service node in the custom format service data.
Referring to fig. 1, a flowchart illustrating steps of an embodiment 1 of a service data analysis method according to the present application is shown, where the service data includes a plurality of service nodes, and each service node has a service attribute; the method specifically comprises the following steps:
in the embodiment of the application, the service data is specifically serial service data; taking the signaling log in the communication field as an example, the signaling log is generally recorded in a serial recording manner, such as all log nodes of a user side call signaling log of a volte (voice over lte) service. In the signaling log are recorded: and Service nodes such as request INVITE, Service request, RRC connection request RRCConnectionRequest and the like. The service node is the identifier of a specific operation in the service process, and the specific service node can be matched with the condition set by a user in software.
The service data in different data formats can be acquired through a self-defined file interface.
in different signaling logging software, the service data is recorded in different data formats. When different data formats need to be analyzed, programs are often written for processing the different data formats, and programming operation is increased.
In the application, a user can customize a data format, and original service data is converted into the service data with the customized format through a conversion interface provided by a program.
When the user sets the analysis condition for the service node, the condition can be set by uniformly using the data format defined by the user.
the target service node is a service node which is set by a user and needs to be analyzed.
in the signaling log, it generally includes: service node identification information; the occurrence time and the log recording time of each service node; other ancillary information for fault location or business records.
The service attributes are: the occurrence time and logging time of each service node, and other auxiliary information for fault location or service logging.
And 105, calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item.
The custom analysis item is the characteristics of the service data which is set by the user and is expected to be acquired. For example, the number of times the INVITE occurs; INVITE to Deactivate EPS bearer context accept.
The data required by the user can be obtained by processing the service attributes (operations of adding, subtracting, multiplying, dividing, calculating times, calculating average, summing and the like).
The data obtained by analysis can be saved in storage media such as files and databases through a data saving interface. The user can export and import the set scheme so as to exchange and multiplex with each other.
In the embodiment of the application, the service data in the custom format is analyzed by adopting a uniform analysis standard, so that the data quality of data analysis is improved. Any service record data which is recorded in series and has standard can be converted into service data with a custom format for analysis, and the application range is wide. The analysis method is simple to operate, and an analysis scheme can be quickly formed without programming knowledge.
Referring to fig. 2, a flowchart illustrating steps of an embodiment 2 of a service data analysis method according to the present application is shown, where the service data includes a plurality of service nodes, and each service node has a service attribute; the method specifically comprises the following steps:
the service data in different data formats can be acquired through a self-defined file interface.
and deleting the repeated service nodes in the user-defined format service data of the primary service to obtain the duplication-removed service data. For example, a service node duplicated in a signaling log of a VOLTE service is deleted.
as a preferred example of the embodiment of the present application, the step of determining the target service node in step 204 may specifically include the following sub-steps:
substep S11, determining a node matched with a preset node identifier in the deduplication service data as a target service node;
for example, in the signaling log, identification information of a service node is recorded, when a user selects a target service node to be analyzed, the identification information of the service node to be analyzed is set in software or a system, and the software or the system determines the service node matched with the identification information set by the user as the target service node.
As a preferred example of the embodiment of the present application, the sub-step S11 may further include:
and a substep S111, in the duplication elimination service data, determining the node which is matched with the preset node identification and meets the preset precondition as a target service node.
For example, if the user needs to analyze the service node a, the identification information associated with the service node a is set in the software or system. The precondition is set to that service node a appears once to service node B.
The software or system determines a as the target service node after the identification information matched to a and B occurs once.
By setting the precondition of the selected node, the program can be accurately positioned to the analyzed business process node.
As a preferred example of the embodiment of the present application, the sub-step S11 may further include:
and a substep S112, determining a node matched with the preset node identifier and meeting a preset post condition in the deduplication service data as a target service node.
As a preferred example of the embodiment of the present application, the sub-step S11 may further include:
and a substep S113, in the deduplication service data, determining the node which is matched with a preset node identifier, meets a preset precondition and meets a preset postcondition as a target service node.
For example, if the user needs to analyze the service node a, the identification information associated with the service node a is set in the software or system. The precondition is set to that service node a appears once to service node B. Setting a post condition that the pre condition is consistent with one and then stopping;
the software or system does not continue the matching analysis after the identification information of a and B is matched once, and determines a as the target service node.
and step 206, calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item.
Referring to fig. 3, a flowchart illustrating steps of embodiment 3 of a service data analysis method according to the present application is shown, where the service data includes a plurality of service nodes, and each service node has a service attribute; the method specifically comprises the following steps:
the service data in different data formats can be acquired through a self-defined file interface.
and deleting the repeated service nodes in the user-defined format service data of the primary service to obtain the duplication-removed service data. For example, a service node duplicated in a signaling log of a VOLTE service is deleted.
and determining a target service node to be analyzed in the user-defined format service data with the deleted repeated service nodes.
As a preferred example of the embodiment of the present application, the step 304 may specifically include the following sub-steps:
substep S21, selecting a first node and a second node from the deduplication service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
the reference service node is a service node for determining completion of a service. For example, in a business log, a total of 3 logs, respectively A, B, C, are logged. For this service, if B, C appears, it is considered that a service is completed, and B, C is the service reference node. The reference node is a service node which must appear in a service log when a service record is measured.
Substep S22, among the service nodes between the first node and the second node, determines a target service node.
The user can specify the service node range of the signaling analysis by selecting a service node in the service reference node.
As a preferred example of the embodiment of the present application, the sub-step S22 may further include:
and a substep S221 of determining a node matched with a preset node identifier as a target service node among the service nodes between the first node and the second node.
As a preferred example of the embodiment of the present application, the sub-step S221 may further include:
in sub-step S2211, in the service node between the first node and the second node, the node that matches the preset node identifier and satisfies the preset precondition is determined as a target service node.
As a preferred example of the embodiment of the present application, the sub-step S221 may further include:
and a substep S2212 of determining, among the service nodes between the first node and the second node, a node which is matched with a preset node identifier and satisfies a preset post-condition as a target service node.
As a preferred example of the embodiment of the present application, the sub-step S221 may further include:
and a substep S2213 of, in the service nodes between the first node and the second node, determining the nodes which are matched with the preset node identifier, satisfy the preset precondition, and satisfy the preset postcondition as the target service nodes.
and step 306, calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
Referring to fig. 4, a block diagram of a service data analysis apparatus according to an embodiment of the present application is shown, where the service data includes a plurality of service nodes, and the service nodes have service attributes; the device may specifically include the following modules:
an original service data module 41, configured to obtain original service data;
a format conversion module 42, configured to convert the original service data into service data in a user-defined format according to a preset user-defined format;
a target service node determining module 43, configured to determine a target service node in the service data in the custom format;
a service attribute obtaining module 44, configured to obtain a service attribute of the target service node;
and the calculating module 45 is configured to calculate the custom analysis item by using the service attribute of the target service node corresponding to the preset custom analysis item.
As a preferred example of the embodiment of the present application, the target service node determining module 43 further includes:
the duplication removing submodule is used for deleting the repeated service nodes in the service data with the custom format to obtain duplication removing service data;
and the duplicate removal node determining submodule is used for determining a target service node in the duplicate removal service data.
As a preferred example of the embodiment of the present application, the deduplication node determining sub-module further includes:
the node selection submodule is used for selecting a first node and a second node in the duplicate removal service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
a range node determining submodule, configured to determine a target service node in the service nodes between the first node and the second node.
As a preferred example of the embodiment of the present application, the range node determining sub-module further includes:
and the matching determination submodule is used for determining the node matched with the preset node identification as the target service node.
As a preferred example of the embodiment of the present application, the matching determination sub-module further includes:
and the preposed matching determining submodule is used for determining the node which is matched with the preset node identification and meets the preset preposed condition as the target service node.
As a preferred example of the embodiment of the present application, the matching determination sub-module further includes:
and the post matching determination submodule is used for determining the node which is matched with the preset node identification and meets the preset post condition as the target service node.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification 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.
As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The service node analysis method and the service node analysis device provided by the present application are introduced in detail, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. A service data analysis method is characterized in that the service data comprises a plurality of service nodes, and the service nodes have service attributes; the method comprises the following steps:
acquiring original service data;
converting the original service data into service data in a user-defined format according to a preset user-defined format;
determining a target service node in the service data with the custom format;
acquiring the service attribute of the target service node;
calculating a user-defined analysis item by adopting the service attribute of a target service node corresponding to the preset user-defined analysis item;
wherein the step of determining the target service node in the service data with the custom format comprises:
deleting the repeated service nodes in the service data with the user-defined format to obtain duplication-removing service data;
determining a target service node in the duplication removal service data;
the step of determining a target service node in the deduplication service data comprises:
selecting a first node and a second node from the duplication removal service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
determining a target service node among service nodes between the first node and the second node;
the step of determining a target service node comprises:
and determining the node matched with the preset node identification as a target service node.
2. The method of claim 1, wherein the step of determining the node matching the preset node identifier as the target service node comprises:
and determining the nodes which are matched with the preset node identification and meet the preset precondition as target service nodes.
3. The method of claim 1, wherein the step of determining the node matching the preset node identifier as the target service node comprises:
and determining the nodes which are matched with the preset node identification and meet the preset post condition as target service nodes.
4. A service data analysis apparatus, wherein the service data comprises a plurality of service nodes, and the service nodes have service attributes; the device comprises:
the original service data module is used for acquiring original service data;
the format conversion module is used for converting the original service data into service data in a user-defined format according to a preset user-defined format;
the target service node determining module is used for determining a target service node in the service data with the custom format;
a service attribute obtaining module, configured to obtain a service attribute of the target service node;
the calculation module is used for calculating the custom analysis item by adopting the service attribute of the target service node corresponding to the preset custom analysis item;
wherein the target service node determination module further comprises:
the duplication removing submodule is used for deleting the repeated service nodes in the service data with the custom format to obtain duplication removing service data;
a duplicate removal node determination submodule, configured to determine a target service node in the duplicate removal service data;
the deduplication node determining submodule further includes:
the node selection submodule is used for selecting a first node and a second node in the duplicate removal service data; the first node and the second node are reference service nodes, and the reference service nodes are service nodes for determining service completion;
a range node determination submodule configured to determine a target service node in the service nodes between the first node and the second node;
the range node determination submodule further includes:
and the matching determination submodule is used for determining the node matched with the preset node identification as the target service node.
5. The apparatus of claim 4, wherein the match determination submodule further comprises:
and the preposed matching determining submodule is used for determining the node which is matched with the preset node identification and meets the preset preposed condition as the target service node.
6. The apparatus of claim 4, wherein the match determination submodule further comprises:
and the post matching determination submodule is used for determining the node which is matched with the preset node identification and meets the preset post condition as the target service node.
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| CN101888309A (en) * | 2010-06-30 | 2010-11-17 | 中国科学院计算技术研究所 | Online log analysis method |
| CN103929329A (en) * | 2014-04-14 | 2014-07-16 | 百度在线网络技术（北京）有限公司 | Log processing and configuration method, configuration server, service end device and system |
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| CN101888309A (en) * | 2010-06-30 | 2010-11-17 | 中国科学院计算技术研究所 | Online log analysis method |
| CN103929329A (en) * | 2014-04-14 | 2014-07-16 | 百度在线网络技术（北京）有限公司 | Log processing and configuration method, configuration server, service end device and system |
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