CN114048117A - Monitoring method for cooperative business data interaction between enterprise system and each external system - Google Patents
Monitoring method for cooperative business data interaction between enterprise system and each external system Download PDFInfo
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- CN114048117A CN114048117A CN202111423401.4A CN202111423401A CN114048117A CN 114048117 A CN114048117 A CN 114048117A CN 202111423401 A CN202111423401 A CN 202111423401A CN 114048117 A CN114048117 A CN 114048117A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 230000003993 interaction Effects 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000010367 cloning Methods 0.000 claims abstract description 6
- 230000001502 supplementing effect Effects 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 3
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3495—Performance evaluation by tracing or monitoring for systems
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Abstract
The invention discloses a monitoring method for the interaction of cooperative business data of an enterprise system and each external system, which is characterized in that based on an integrated service call log table stored when the enterprise interacts with the external system, the cooperative business data cloning is completed by reading the integrated service call log table, and information of interaction failure is obtained from the condition that a sender sends business data and the condition that a receiver returns the business data within a certain time. The invention uses the existing integrated service call log table of the enterprise system to extract the collaborative service data information and the interface interaction state, and stores the service data according to the interface separately, thereby realizing the data cloning and the collaborative service data centralization of the multi-party system service data table.
Description
Technical Field
The invention relates to a method for monitoring data interaction of external collaborative business of an enterprise.
Background
With the gradual improvement of an independent business system of an enterprise, the requirements of cross-enterprise and cross-organization businesses are more and more complex, system businesses are not only business circulation in the system, but also a plurality of systems cooperate to complete a rechecking business process, which is generally called multi-party cooperation. In the multi-party cooperative service system, when frequent data interaction of cooperative services of the system and the other party exists, the cooperative service data interaction condition can be effectively mastered only by carrying out data interaction condition statistics, classification and monitoring on the systems of the receiving party and the sending party, and problem troubleshooting and reissue sending are carried out in time on the problem that the sending party has sent but the receiving party does not receive information.
In the statistics, classification and monitoring of the data interaction situation of the receiving and sending parties, a business data comparison method based on a business data table is mostly adopted for monitoring. The business data comparison method based on the business data table is specifically realized by searching a business data table related to interaction of each type of collaborative business scene data according to different collaborative business scene classifications of the two systems, and counting and comparing the data difference conditions of the business data tables of the two systems within a period of time.
The business data comparison method based on the business data table requires a third-party monitoring platform which can simultaneously access the business data tables of the receiving and sending parties, and needs to know the name and the business data structure of each type of collaborative business data table. When the enterprise system is cooperated with a plurality of external systems and the types of service data interaction with each external system are complex, each system is required to organize and comb the cooperative service data table respectively, and submit the data table to a third-party monitoring platform in charge of cooperative service monitoring after the data table is summarized, and simultaneously, a network channel from the third-party monitoring platform to each system and data access authority need to be opened. In a multi-party system, technical manpower is not matched for inputting to comb a collaborative service data table, and the problems of network opening and data access safety from a third-party monitoring platform to each party system are considered, a service data comparison method based on the service data table is difficult to realize, all the party systems are required to be matched for construction, the construction input cost is too high, potential safety hazards exist, and the requirement of value added services cannot be met.
Disclosure of Invention
The invention aims to provide a method which can prevent each party system from developing business data table analysis, does not need to open a third party monitoring platform to each party system network channel and data access, and can solve the problem that an enterprise system and each external system cooperate with business data interaction to monitor.
The technical scheme of the invention is as follows:
a monitoring method for cooperative business data interaction of an enterprise system and each external system is characterized in that based on an integrated service call log table stored when the enterprise interacts with the external system, the cooperative business data cloning is completed by reading the integrated service call log table, and information of interaction failure is obtained from the condition that a sender sends business data and the condition that a receiver returns the business data within a certain time.
The method comprises the following specific steps:
the method comprises the following steps: defining the range of monitoring cooperative service interface, and defining interface sender and receiver;
step two: according to the format of the message information of each collaborative service interface, the successful interaction information and the failure interaction information are determined;
step three: acquiring a full-scale integrated service call log for the first time, and then supplementing according to a period and an increment;
step four: storing the cooperative service data according to the interface;
step five: counting, analyzing and monitoring the condition of sending service data by a sending party and the condition of receiving service data returned by a receiving party within a certain time, and finding out the information of interaction failure;
step six: and checking the information of interaction failure and reissuing the cooperative service data.
The third step is as follows: the method comprises the steps of firstly obtaining integrated service call log information in a full mode, setting a cycle of incrementally obtaining the integrated service call logs according to the number of the newly added integrated service call logs in a certain time, the data storage size, the time consumption of obtaining the integrated service call logs in a certain time and the like, and supplementing the integrated service call logs in an incremental mode according to the cycle.
Furthermore, a collaborative service monitoring platform is established in the enterprise, and after the collaborative service monitoring platform acquires each collaborative service data through the integrated service call log table, the collaborative service monitoring platform independently stores the service data according to the interface.
And after acquiring the integrated service call log information of the new successful interaction, the cooperative service monitoring platform updates the cooperative scene service data interaction failure into interaction success.
The invention has the beneficial effects that:
the invention uses the existing integrated service call log table of the enterprise system to extract the collaborative service data information and the interface interaction state, and stores the service data according to the interface separately, thereby realizing the data cloning and the collaborative service data centralization of the multi-party system service data table. The invention solves the problems that the collaborative monitoring platform is not familiar with the business of each system, each system is not matched with each other to carry out, or the analysis of the collaborative business data table is difficult to carry out, and the potential safety hazard exists when the collaborative monitoring platform is opened to the network channel of each system and the data access authority, and realizes the collaborative business data monitoring by reading the existing integrated service call log table, and the realization mode is efficient, convenient and fast and has high real-time performance.
By adopting the method for interactively monitoring the cooperative business data of the enterprise system and each external system, the cooperative business of the enterprise system is recorded into the integrated service call log table, the cooperative monitoring platform finishes cloning the cooperative business data by reading the integrated service call log table, and further carries out data statistics, analysis and monitoring, thereby finishing monitoring the enterprise system and a plurality of external systems and complex cooperative business with low cost and high efficiency. The invention is simple to realize, the monitoring result is effective, and the application requirement is met.
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FIG. 1 is a logic flow diagram of the present invention.
Detailed Description
Example 1:
the method for monitoring the interaction of the collaborative business data of the enterprise system and each external system comprises the steps of establishing a collaborative business monitoring platform in the enterprise, acquiring the collaborative business data interaction information between the enterprise system and each external system by the platform based on an integrated service call log table stored when the enterprise interacts with the external system, and carrying out statistics, analysis and monitoring on the collaborative business data so as to meet the requirement of monitoring the collaborative business data interaction information between the enterprise system and each external system.
The method for monitoring the cooperative business data interaction between the enterprise system and each external system comprises the following steps:
the method comprises the following steps: and defining the range of the monitoring cooperative service interface, and defining the sender and the receiver of the interface.
Step two: analyzing the Message information of each collaborative service interface, including Type (Message Type), Message (Message) and the like, and knowing the Message format of each collaborative service interface so as to accurately acquire each collaborative service data and the interaction state of the service data, including success and failure information.
Step three: the full-scale integration service call log is obtained for the first time, and others are supplemented in an incremental mode according to a period.
In order to improve the real-time performance and accuracy of the cooperative service monitoring platform in monitoring the cooperative service data, the information of the integrated service call logs is obtained in a full-scale mode for the first time, the period of the integrated service call logs is set to be obtained in an increment mode according to the number of the integrated service call logs newly added in a certain time, the data storage size, the time consumption situation of the integrated service call logs in a period of time and the like, and the integrated service call logs are supplemented in an increment mode according to the period.
Step four: and storing the collaborative service data according to the interface. And according to the independent storage idea of each system business data form, the cooperative business monitoring platform acquires each cooperative business data through the integrated service call log table and then independently stores the business data according to the interface.
Step five: counting, analyzing and monitoring the condition of sending service data by a sending party and the condition of receiving service data returned by a receiving party within a certain time, listing the condition of inconsistency between the sent data and the received data as data interaction failure, and displaying the information of interaction failure (interface return error, false and the like) of the collaborative service data in an important way.
Step six: carrying out problem analysis and troubleshooting on the systems of both the receiving party and the sending party related to the collaborative business data interaction failure, and supplementing and sending the collaborative business data in time;
step seven: and after acquiring the integrated service call log information of the new successful interaction, the cooperative service monitoring platform updates the cooperative scene service data interaction failure into interaction success.
Claims (5)
1. A monitoring method for enterprise system and each external system collaborative service data interaction is characterized in that: based on an integrated service call log table stored when an enterprise interacts with an external system, the collaborative service data cloning is completed by reading the integrated service call log table, and interaction failure information is obtained from the condition that a sender sends service data and the condition that a receiver returns service data within a certain time.
2. The method for monitoring the collaborative business data interaction between the enterprise system and each external system according to claim 1, comprising the following specific steps:
the method comprises the following steps: defining the range of monitoring cooperative service interface, and defining interface sender and receiver;
step two: according to the format of the message information of each collaborative service interface, the successful interaction information and the failure interaction information are determined;
step three: acquiring a full-scale integrated service call log for the first time, and then supplementing according to a period and an increment;
step four: storing the cooperative service data according to the interface;
step five: counting, analyzing and monitoring the condition of sending service data by a sending party and the condition of receiving service data returned by a receiving party within a certain time, and finding out the information of interaction failure;
step six: and checking the information of interaction failure and reissuing the cooperative service data.
3. The method for monitoring the collaborative business data interaction between the enterprise system and each external system according to claim 2, wherein the third step is: the method comprises the steps of firstly obtaining integrated service call log information in a full mode, setting a cycle of incrementally obtaining the integrated service call logs according to the number of the newly added integrated service call logs in a certain time, the data storage size, the time consumption of obtaining the integrated service call logs in a certain time and the like, and supplementing the integrated service call logs in an incremental mode according to the cycle.
4. The method for monitoring collaborative business data interaction between an enterprise system and external systems according to claim 3, wherein: and establishing a collaborative service monitoring platform in the enterprise, and storing the service data according to the interface after the collaborative service monitoring platform acquires each collaborative service data through the integrated service call log table.
5. The method for monitoring the collaborative business data interaction between the enterprise system and each external system according to claim 4, wherein the seventh step is executed after the sixth step: and after acquiring the integrated service call log information of the new successful interaction, the cooperative service monitoring platform updates the cooperative scene service data interaction failure into interaction success.
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| CN102347983A (en) * | 2011-08-26 | 2012-02-08 | 四川长虹电器股份有限公司 | ESB (Enterprise Service Bus) system in SOA (Service-Oriented Architecture) |
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| CN112801666A (en) * | 2021-03-30 | 2021-05-14 | 北京宇信科技集团股份有限公司 | Monitoring management method, system, medium and equipment based on enterprise service bus |
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2021
- 2021-11-26 CN CN202111423401.4A patent/CN114048117A/en active Pending
Patent Citations (6)
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| CN102347983A (en) * | 2011-08-26 | 2012-02-08 | 四川长虹电器股份有限公司 | ESB (Enterprise Service Bus) system in SOA (Service-Oriented Architecture) |
| CN107659443A (en) * | 2017-09-22 | 2018-02-02 | 天翼电子商务有限公司 | The monitoring method and its system of a kind of real time business |
| CN108322350A (en) * | 2018-02-27 | 2018-07-24 | 阿里巴巴集团控股有限公司 | Business monitoring method and device and electronic equipment |
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