CN113535453B - Alarm data watermark detection system and method - Google Patents
Alarm data watermark detection system and method Download PDFInfo
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Abstract
The invention discloses an alarm data watermark detection system and method, which are based on a real-time computing stream type distributed architecture and are combined with a micro-service architecture for design and development, and have the characteristics of high efficiency, stability, convenience and easiness in use. According to the alarm data watermark detection system and method, the watermark is added to the log, and the heartbeat program is additionally arranged to push the watermark to rise, so that the influence of late or abnormal data is avoided, the influence of the abnormal data or the late data on the alarm is guaranteed through the heartbeat and watermark modes, and the real-time performance and the efficient processing capacity are greatly improved. The alarm data watermark detection system and the alarm data watermark detection method are optimized and innovated in architecture, and adopt a micro-service and real-time stream architecture to sufficiently decouple services, thereby greatly improving the stability and reliability of the system.
Description
Technical Field
The invention relates to the field of monitoring operation and maintenance flow alarms, in particular to an efficient, stable, convenient and easy-to-use alarm data watermark detection system and method.
Background
The existing alarm system and method basically adopt the processing time of the machine to carry out logic judgment of the alarm, or realize the consistency of time in a certain range by means of the time synchronization mode of an internal distributed operating system, and focus on the alarm on the current processing cluster time. The prior art method lacks consideration of the time condition of the alarm source data event, but only adopts the time of the current machine, the architecture condition is more common in the field of dealer, and the prior art method lacks a more efficient solution, so that the alarm inaccuracy consumes higher labor time cost for dealer operation and maintenance.
Accordingly, there is a need for an improvement that overcomes the shortcomings of the prior art.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides an efficient, stable, convenient and easy-to-use alarm data watermark detection system and method.
The technical scheme of the invention is as follows:
a watermark detection system for alarm data comprises a rule management end, a notification component and a real-time stream frame alarm processing module; the rule management end is used for distributing and starting the alarm rules; the notification component is used for sending the rule distributed and started by the rule management end to the real-time flow frame alarm processing module; the real-time flow frame alarm processing module is used for carrying out data judgment and identification according to rules and generating alarm information according to alarm data.
As a preferable technical scheme, the rule management end comprises a rule management module, an API module and a notification module; the rule management module is used for creating, deleting, modifying, inquiring, publishing and cancelling rules; the notification module is communicatively coupled to the notification component.
As a further preferable technical scheme, the API module includes a dynamic rule interface and an overall rule interface; the dynamic rule interface is used for dynamically adding, deleting or modifying rules, and is in communication connection with the notification module; the all rule interfaces are in communication connection with a rule distribution program which is in communication connection with the notification module.
As a preferable technical solution, the notification component includes a switch and a message queue; the switch is used for regular forwarding, and the message queue is used for storing and forwarding the message to the user.
As a preferable technical scheme, the real-time stream frame alarm processing module comprises a watermark heartbeat simulation program, a consumption end module, a watermark output module, a packet distributor, a rule engine, a window counter and a data transmission module; the consumption end module is used for consuming the log data in the log queue and receiving the heartbeat provided by the watermark heartbeat simulation program; the watermark heartbeat simulation program is used for periodically sampling based on the data in the log queue to obtain the time of the log; the consumption end module is in communication connection with the watermark output module, and the watermark output module outputs an additional watermark line based on each log after receiving the data of the consumption end module; the watermark output module is in communication connection with the packet distributor, and the packet distributor performs distributed transmission according to dimension information of the log; the rule engine is in communication connection with the notification component, the packet distributor is in communication connection with the rule engine, the rule engine carries out expression logic judgment on log data sent by the packet distributor after receiving the rule of the notification component, and the log data becomes an alarm message to enter the window counter when the rule is met, and the window counter counts alarm data and sends the alarm data through the data sending module.
The invention also provides an alarm data watermark detection method based on the alarm data watermark detection system, which comprises the following steps:
s1, after a user configures and issues a rule at the rule management end, the rule is sent to the notification component;
s2, the real-time flow frame alarm processing module receives the rule and establishes a corresponding alarm expression according to the rule;
s3, the real-time flow frame alarm processing module generates heartbeat according to the data log, judges through the alarm expression, processes abnormal and normal data, and generates alarm information after judging successfully;
s4, the real-time flow frame alarm processing module pushes the alarm information to be processed.
As a preferable technical scheme, the rule management end comprises a rule management module, an API module and a notification module; the step S1 is specifically that a user configures a rule through the rule management module, and transmits the rule to the notification module through the API module, and the notification module notifies the notification component of the rule.
In the step S3, after generating the heartbeat according to the data log, the real-time stream frame alarm processing module generates a watermark and a heartbeat signal to combine, and then determines through the alarm expression.
As an preferable technical scheme, the method for pushing the alarm information in the step S4 comprises pushing the alarm information to the corresponding personnel through short messages, weChat and mail.
The alarm data watermark detection system and the alarm data watermark detection method are based on a real-time computing streaming distributed architecture, are combined with a micro-service architecture to perform design and development, and have the characteristics of high efficiency, stability, convenience and easiness in use. The alarm data watermark detection system and the alarm data watermark detection method solve the problems that alarm using processing time is inaccurate, errors exist in statistics within a certain time range, and distributed tasks are difficult to run in a high-concurrency, high-efficiency and stable mode under a cluster under the condition that an alarm rule expression is complex. According to the alarm data watermark detection system and method, the watermark is added to the log, and the heartbeat program is additionally arranged to push the watermark to rise, so that the influence of late or abnormal data is avoided, the influence of the abnormal data or the late data on the alarm is guaranteed through the heartbeat and watermark modes, and the real-time performance and the efficient processing capacity are greatly improved. The alarm data watermark detection system and the alarm data watermark detection method are optimized and innovated in architecture, and adopt a micro-service and real-time stream architecture to sufficiently decouple services, thereby greatly improving the stability and reliability of the system.
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FIG. 1 is a block diagram of an alarm data watermark detection system according to the present invention;
fig. 2 is a flow chart of a method for detecting watermark of alarm data according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two, but does not exclude the case of at least one.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or system comprising such elements.
Fig. 1 is a system block diagram of an embodiment of an alarm data watermark detection system according to the present invention. The invention relates to an alarm data watermark detection system, which comprises a rule management end, a notification component and a real-time stream frame alarm processing module; the rule management end is used for distributing and starting the alarm rules; the notification component is used for sending the rule distributed and started by the rule management end to the real-time flow frame alarm processing module; the real-time flow frame alarm processing module is used for carrying out data judgment and identification according to rules and generating alarm information according to alarm data.
The alarm data watermark detection system of the invention carries out rule configuration through a portal interface, manually triggers rule on-line, the rule management end issues the rule to the notification client for execution, the client pushes the rule to the notification component after execution, and finally notifies the task in the real-time stream processing framework alarm processing module through the interactor and the queue, and a user can check the result of each rule execution through the portal interface.
The rule management end is a dispatching center of the alarm and is mainly responsible for distributing and starting the alarm rule. When in specific implementation, the rule management end comprises a rule management module, an API module and a notification module; the rule management module is used for creating, deleting, modifying, inquiring, publishing and cancelling rules; the notification module is communicatively coupled to the notification component. The rule management module is mainly responsible for new creation, deletion, modification, inquiry, release and revocation of rules. The rule management end of the embodiment has the functions of rule management, authority management and parameter configuration. The rule management is realized through a rule management module, firstly, the validity of the rule is checked, and after the check is successful, the rule can be released to a notification module through a storage operation. The authority management function is that the system controls the authority according to the principle of grouping and organizing the roles, different users belong to different user groups, different service systems are provided with different authorities, and centralized management and genus group division are carried out through the authority module. The parameter configuration function is mainly specific business service, users in different business scenes can carry out custom configuration of rule parameters according to business scenes of different alarm data, and the rule management module generates corresponding rules according to the parameter configuration and sends the rules to the notification module.
The rule management module completes the new creation, deletion, modification, inquiry, release and withdrawal of the rule and then transmits the rule to the API module, wherein the API module comprises a dynamic rule interface and all rule interfaces; the dynamic rule interface is used for dynamically adding, deleting or modifying rules, and is in communication connection with the notification module; the all rule interfaces are in communication connection with a rule distribution program which is in communication connection with the notification module.
The notification component comprises a switch and a message queue, and the notification component further comprises a client, wherein the client provides notification data to the switch, and the switch forwards the notification data to the message queue through the binding queue. The message queue informs the real-time flow frame alarm processing module in a broadcasting mode, and the real-time flow frame alarm processing module receives the rule and processes the rule correspondingly. Specifically, the switch forwards according to the submitted rule and distributes according to the key of the rule id. And matching the routing keys according to the mapping relation of the routing keys between the queues and the interaction machine, and if the routing keys are matched, delivering the messages to the corresponding queues. The delivery modes are direct delivery, host delivery, random delivery and message header delivery respectively, and random delivery is currently used, so that maximum concurrency processing is supported. The message queue holds messages and forwards them to the real-time streaming framework alarm processing module, first in first out. And each message is supported to be efficient, stable and reliable.
The real-time stream frame alarm processing module comprises a watermark heartbeat simulation program, a consumption end module, a watermark output module, a packet distributor, a rule engine, a window counter and a data transmission module; the consumption end module is used for consuming the log data in the log queue and receiving the heartbeat provided by the watermark heartbeat simulation program; the watermark heartbeat simulation program is used for periodically sampling based on the data in the log queue to obtain the time of the log; the consumption end module is in communication connection with the watermark output module, and the watermark output module outputs an additional watermark line based on each log after receiving the data of the consumption end module; the watermark output module is in communication connection with the packet distributor, and the packet distributor performs distributed transmission according to dimension information of the log; the rule engine is in communication connection with the notification component, the packet distributor is in communication connection with the rule engine, the rule engine carries out expression logic judgment on log data sent by the packet distributor after receiving the rule of the notification component, and the log data becomes an alarm message to enter the window counter when the rule is met, and the window counter counts alarm data and sends the alarm data through the data sending module. The watermark heartbeat simulation program periodically samples based on the data in the log queue to obtain the time of the log itself and provide the heartbeat. The consumption end module consumes the log data in the log queue and receives the heartbeat provided by the watermark heartbeat simulation program. After the watermark output module receives the data of the consumer module, an additional watermark line (log data snapshot time) is output based on each log and put into the stream frame, the time of the log is possibly higher or lower than that of the current watermark line, the watermark line is in a normal condition in a floating range up and down, if the log time is higher or lower than that of the watermark line, the global watermark line cannot be lifted, and the global watermark line time is lifted by means of the watermark heartbeat. The log time is within the upper and lower ranges of the watermark line, and then the global watermark line time is slowly increased. After the log passes through the watermark output module, the log data is provided with a snapshot and a global watermark line, and then enters the packet distributor. The packet distributor can perform distributed transmission according to dimension information (hosts, components, clusters and the like) of the logs, and the logs of the same type can be delivered to the same distributed thread. After receiving the rule of the notification component, the rule engine carries out expression logic judgment on the log data, and when the expression condition is met, the log data becomes an alarm message and enters a window counter, the window counter provides statistics of alarm data meeting the condition, and the statistics is sent to a corresponding responsible person through a data sending module.
Specific: the watermark heartbeat simulation program obtains the time of the data in the log queue, and sends heartbeat information according to a certain range so as to ensure that the time of the data is within a specified range. When the global watermark is abnormal, the global watermark is pushed to rise, and the heartbeat is periodically output according to the last 10 events by acquiring the self time of the events. The consumer module deserializes the data and formats the data by consuming the data in the log queue. The watermark output module determines whether the time is within a specified range according to the time of the event time, and if the time is not within the specified range, the watermark output module is regulated to be within the normal time. If the watermark data is within the specified range, outputting a watermark data according to the event time. The grouping distributor groups according to the dimension (business system, component, cluster, host, etc.) carried in the data, and distributes and expands in a distributed scene. The rule engine temporarily flattens the nested structure in the data through the precompiled expression, then logically judges through the rule expression, returns True to meet the condition, and returns False to not meet the condition. After passing through the rule engine, the data meeting the conditions is pushed into the window counter for statistics, for example, 10 data are met within 1 minute, and a real alarm is generated when the conditions of the window counter are met. The data sending module pushes the generated alarm to an alarm message queue.
The invention also discloses a method for detecting the watermark of the alarm data, as shown in fig. 2, comprising the following steps:
s1, after a user configures and issues a rule at the rule management end, the rule is sent to the notification component;
s2, the real-time flow frame alarm processing module receives the rule and establishes a corresponding alarm expression according to the rule;
s3, the real-time flow frame alarm processing module generates heartbeat according to the data log, judges through the alarm expression, processes abnormal and normal data, and generates alarm information after judging successfully;
s4, the real-time flow frame alarm processing module pushes the alarm information to be processed.
The rule management terminal comprises a rule management module, an API module and a notification module; the step S1 is specifically that a user configures a rule through the rule management module, and transmits the rule to the notification module through the API module, and the notification module notifies the notification component of the rule.
In step S3, after the real-time streaming frame alarm processing module generates a heartbeat according to the data log, a watermark is generated and a heartbeat signal is combined, and then the judgment is performed through the alarm expression.
In step S4, the method for pushing the alarm information includes pushing the alarm information to the corresponding personnel through short messages, micro messages and mails.
In this embodiment, the data flow is: 1. after configuring the rules, the user clicks a release button on the interface, and the server background notifies the rules to the notification component through the client. 2. The flow processing engine builds corresponding expression processing tasks according to the rules. 3. The heartbeat generation program presents the heartbeat to the stream processing engine. 4. The stream processing engine consumes log data and generates watermark and heartbeat signal combination through alarm expression judgment, and processes abnormal and normal data, and generates alarm after judgment success. 5. After the alarm is generated, the alarm is sent to a message queue, and short messages, micro messages and mails are pushed to corresponding business personnel.
When the alarm data watermark detection system architecture is deployed in application, the service adopts a distributed architecture, and the management end adopts a BS CS architecture combined mode. And the engine side invokes the stream client program to submit a task to the cluster through the interface, and after the task is submitted, the engine side receives the message of the message queue and the notification component, generates a watermark and carries out alarm judgment.
The alarm data watermark detection system and method mainly pay attention to the fact that real-time stream log alarm is detected efficiently and accurately through a watermark, the distributed real-time stream frame mode is realized, a rule center server distributes tasks to nodes in a cluster through a notification component, abnormal data or influence of late data on the alarm is guaranteed through a heartbeat program and a watermark mode, and instantaneity and efficient processing capacity are greatly improved. According to the scheme, aiming at a scene, the log data is delayed or does not come according to normal time, so that a large error exists in statistics of an alarm, and the watermark is pushed to rise by an additional heartbeat program through the watermark adding mode of the log, so that the influence of delayed or abnormal data is avoided, and the scene cannot be better met by referring to the existing scheme. The scheme is used as a scene supplement to the current existing scheme, not only enriches the existing scheme, but also carries out optimization innovation on the architecture, and the current popular micro-service and real-time stream architecture is adopted to sufficiently decouple services, so that the stability and reliability of the system are greatly improved, and the existing alarm system and method are enriched.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention. Equivalent changes and modifications of the invention are intended to fall within the scope of the present invention.
Claims (8)
1. A watermark detection system for alarm data comprises a rule management end, a notification component and a real-time stream frame alarm processing module; the rule management end is used for distributing and starting the alarm rules; the notification component is used for sending the rule distributed and started by the rule management end to the real-time flow frame alarm processing module; the real-time flow frame alarm processing module is used for carrying out data judgment and identification according to rules and generating alarm information according to alarm data; the method is characterized in that:
the real-time stream frame alarm processing module comprises a watermark heartbeat simulation program, a consumption end module, a watermark output module, a packet distributor, a rule engine, a window counter and a data transmission module; the consumption end module is used for consuming the log data in the log queue and receiving the heartbeat provided by the watermark heartbeat simulation program; the watermark heartbeat simulation program is used for periodically sampling based on the data in the log queue to obtain the time of the log; the consumption end module is in communication connection with the watermark output module, and the watermark output module outputs an additional watermark line based on each log after receiving the data of the consumption end module; the watermark output module is in communication connection with the packet distributor, and the packet distributor performs distributed transmission according to dimension information of the log; the rule engine is in communication connection with the notification component, the packet distributor is in communication connection with the rule engine, the rule engine carries out expression logic judgment on log data sent by the packet distributor after receiving the rule of the notification component, and the log data becomes an alarm message to enter the window counter when the rule is met, and the window counter counts alarm data and sends the alarm data through the data sending module.
2. An alert data watermark detection system in accordance with claim 1, wherein: the rule management end comprises a rule management module, an API module and a notification module; the rule management module is used for creating, deleting, modifying, inquiring, publishing and cancelling rules; the notification module is communicatively coupled to the notification component.
3. An alert data watermark detection system in accordance with claim 2, wherein: the API module comprises a dynamic rule interface and all rule interfaces; the dynamic rule interface is used for dynamically adding, deleting or modifying rules, and is in communication connection with the notification module; the all rule interfaces are in communication connection with a rule distribution program which is in communication connection with the notification module.
4. An alert data watermark detection system in accordance with claim 1, wherein: the notification component comprises a switch and a message queue; the switch is used for regular forwarding, and the message queue is used for storing and forwarding the message to the user.
5. An alarm data watermark detection method of an alarm data watermark detection system according to any one of claims 1 to 4, wherein: the method comprises the following steps:
s1, after a user configures and issues a rule at the rule management end, the rule is sent to the notification component;
s2, the real-time flow frame alarm processing module receives the rule and establishes a corresponding alarm expression according to the rule;
s3, the real-time flow frame alarm processing module generates heartbeat according to the data log, judges through the alarm expression, processes abnormal and normal data, and generates alarm information after judging successfully;
s4, the real-time flow frame alarm processing module pushes the alarm information to be processed.
6. The alert data watermark detection method according to claim 5, wherein: the rule management end comprises a rule management module, an API module and a notification module; the step S1 is specifically that a user configures a rule through the rule management module, and transmits the rule to the notification module through the API module, and the notification module notifies the notification component of the rule.
7. The alert data watermark detection method according to claim 5, wherein: in the step S3, after the real-time streaming frame alarm processing module generates a heartbeat according to the data log, a watermark is generated and a heartbeat signal is combined, and then the judgment is performed through the alarm expression.
8. The alert data watermark detection method according to claim 5, wherein: the method for pushing the alarm information in the step S4 comprises pushing the alarm information to corresponding personnel through short messages, weChat and mails.
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| JP2005026797A (en) * | 2003-06-30 | 2005-01-27 | Nippon Telegr & Teleph Corp <Ntt> | Digital watermark embedding method and apparatus, digital watermark detecting method and apparatus, digital watermark detecting system, program, and recording medium |
| CN107220271A (en) * | 2016-12-14 | 2017-09-29 | 郑州祺石信息技术有限公司 | A kind of method and system of distributed digital resource storage processing and management |
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