CN113535453A - Alarm data watermark detection system and method - Google Patents
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Abstract
The invention discloses an alarm data watermark detection system and method, which are designed and developed based on a real-time calculation flow type distributed architecture and combined with a micro-service architecture, and have the characteristics of high efficiency, stability, convenience and easiness in use. The alarm data watermark detection system and method provided by the invention have the advantages that the watermark is added in the log, and the heartbeat program is added to push the watermark to rise, so that the influence of late arrival or abnormal data is avoided, the influence of the abnormal data or late arrival data on the alarm is ensured in the heartbeat and watermark mode, and the real-time performance and the high-efficiency processing capability are greatly improved. The alarm data watermark detection system and the method thereof provided by the invention are optimized and innovated in architecture, and a micro-service and real-time stream architecture are adopted, so that the services are fully decoupled, and the stability and reliability of the system are greatly improved.
Description
Technical Field
The invention relates to the field of monitoring operation and maintenance flow alarm, 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 a machine to carry out logical judgment of the alarm, or realize the consistency of time in a certain range by means of an internal distributed operating system time synchronization mode, and focus on the alarm on the current processing cluster time. The method in the prior art lacks consideration of the time condition of the alarm source data event, only adopts the time of the current machine, the structural condition is common in the field of dealer, a high-efficiency solution is absent at present, and inaccurate alarm consumes higher manpower and time cost for dealer operation and maintenance.
Therefore, there is a need for an improvement to overcome the deficiencies of the prior art.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides an alarm data watermark detection system and method which are efficient, stable, convenient and easy to use.
The technical scheme of the invention is as follows:
a watermark detection system of 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 rule; the notification component is used for sending the rules distributed and started by the rule management end to the real-time flow frame alarm processing module; and the real-time flow frame alarm processing module is used for judging and identifying data according to rules and generating alarm information according to the alarm data.
As a preferred technical solution, the rule management end includes a rule management module, an API module and a notification module; the rule management module is used for creating, deleting, modifying, inquiring, releasing and canceling rules; the notification module is communicatively coupled to the notification component.
As a further preferred technical solution, the API module includes 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; all the rule interfaces are in communication connection with a rule distribution program, and the rule distribution program is in communication connection with the notification module.
As a preferred technical solution, the notification component includes an exchanger and a message queue; the switch is used for regular forwarding, and the message queue is used for storing and forwarding messages to users.
As a preferred technical solution, the real-time streaming framework alarm processing module includes 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 sending module; the consumption end module is used for consuming log data in a log queue and receiving the heartbeat provided by the watermark heartbeat simulator; the watermark heartbeat simulation program carries out periodic sampling based on 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 the 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, after receiving the rules of the notification component, the rule engine performs expression logic judgment on log data sent by the packet distributor, if the rules are met, the log data become alarm messages and enter the window counter, 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 the user configures and releases the rule at the rule management terminal, 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 streaming frame alarm processing module generates heartbeat according to the data log and judges through the alarm expression, abnormal and normal data are processed, and alarm information is generated after the judgment is successful;
and S4, the real-time flow frame alarm processing module pushes and processes the alarm information.
As a preferred technical solution, the rule management end includes a rule management module, an API module and a notification module; in step S1, the user configures a rule through the rule management module, transmits the rule to the notification module through the API module, and notifies the notification component of the rule through the notification module.
As a preferred technical solution, in step S3, after the real-time streaming frame alarm processing module generates a heartbeat according to the data log, the real-time streaming frame alarm processing module generates a watermark and combines the heartbeat signal, and then determines through the alarm expression.
As a preferred technical solution, the manner of pushing the warning information in step S4 includes pushing the warning information to the corresponding person through short message, WeChat, or email.
The alarm data watermark detection system and method provided by the invention are designed and developed based on a real-time calculation streaming type distributed architecture and by combining a micro-service architecture, and have the characteristics of high efficiency, stability, convenience and easiness in use. The alarm data watermark detection system and the method solve the problems that the alarm using and processing time is inaccurate, the statistics has errors in a certain time range, and the distributed task is difficult to operate stably with high concurrency and high efficiency under the cluster under the condition that the alarm rule expression is complex. The alarm data watermark detection system and method provided by the invention have the advantages that the watermark is added in the log, and the heartbeat program is added to push the watermark to rise, so that the influence of late arrival or abnormal data is avoided, the influence of the abnormal data or late arrival data on the alarm is ensured in the heartbeat and watermark mode, and the real-time performance and the high-efficiency processing capability are greatly improved. The alarm data watermark detection system and the method thereof provided by the invention are optimized and innovated in architecture, and a micro-service and real-time stream architecture are adopted, so that the services are fully decoupled, and the stability and reliability of the system are greatly improved.
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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 an alarm data watermark detection method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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 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 the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in 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 phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good 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 good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
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, wherein the rule management end is used for providing a rule management rule; the rule management end is used for distributing and starting the alarm rule; the notification component is used for sending the rules distributed and started by the rule management end to the real-time flow frame alarm processing module; and the real-time flow frame alarm processing module is used for judging and identifying data according to rules and generating alarm information according to the alarm data.
The alarm data watermark detection system carries out rule configuration through a portal interface, manually triggers rules to be online, the rule management end issues the rules to the notification client end for execution, the client end pushes the rules to the notification component after execution, and finally notifies a task in the alarm processing module of the real-time stream processing framework through the interactor and the queue, and a user can check the execution result of each rule through the portal interface.
Specifically, the rule management end is a dispatching center of the alarm and is mainly responsible for distributing and starting the alarm rule. 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, releasing and canceling rules; the notification module is communicatively coupled to the notification component. The rule management module is mainly responsible for creating, deleting, modifying, inquiring, releasing and canceling rules. The rule management terminal of the embodiment has the functions of rule management, authority management and parameter configuration. The rule management is realized through the rule management module, firstly, the validity of the rule is verified, and after the verification is successful, the rule can be issued to the notification module through the storage operation. The authority management function is that the system controls the authority according to the principle of grouping and organizing roles, different users belong to different user groups, different authorities are provided for different service systems, and centralized management and division of the user groups are carried out through an authority module. The parameter configuration function is mainly a specific service, users in different service scenes can perform custom configuration of rule parameters according to the service scenes of different alarm data, and the rule management module generates corresponding rules according to the parameter configuration and sends the corresponding rules to the notification module.
After completing the creation, deletion, modification, inquiry, release and cancellation of rules, the rule management module transmits the rules 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; all the rule interfaces are in communication connection with a rule distribution program, and the rule distribution program is in communication connection with the notification module.
The notification component comprises a switch and a message queue, and the notification component also 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 the data according to the submitted rule and distributes the data according to the key of the rule id. And matching the queues with the interactive machine by the routing keys according to the mapping relation of the routing keys, and delivering the message to the corresponding queues if the queues are matched with the interactive machine. The delivery modes are direct delivery, host delivery, random delivery and message header delivery, and random delivery is used at present to support maximum concurrent processing. The message queue stores messages and forwards the messages to the real-time flow frame alarm processing module, namely, the messages are processed in a first-in first-out mode. And supporting each message 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 grouping distributor, a rule engine, a window counter and a data sending module; the consumption end module is used for consuming log data in a log queue and receiving the heartbeat provided by the watermark heartbeat simulator; the watermark heartbeat simulation program carries out periodic sampling based on 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 the 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, after receiving the rules of the notification component, the rule engine performs expression logic judgment on log data sent by the packet distributor, if the rules are met, the log data become alarm messages and enter the window counter, and the window counter counts alarm data and sends the alarm data through the data sending module. The watermark heartbeat simulator performs periodic sampling based on the data in the log queue to obtain the time of the log itself and provide a heartbeat. And the consumption end module consumes the log data in the log queue and receives the heartbeat provided by the watermark heartbeat simulator. After receiving the data of the consumption end module, the watermark output module outputs an additional watermark line (the snapshot time of the log data) based on each log and puts the additional watermark line into a stream frame, the time of the log is possibly higher or lower than the current watermark line and belongs to the normal condition in the upper and lower floating range of the watermark line, if the log time is higher or lower than the upper and lower ranges of the watermark line, the global watermark line cannot be lifted, and the global watermark line time is lifted by means of watermark heartbeat. The log time is within the upper and lower range of the watermark line, and the global watermark line time is slowly increased. After the log passes through the watermark output module, a snapshot and a global watermark line are equivalently provided for log data, and then the log data enters the packet distributor. The packet distributor can perform distributed transmission according to the dimension information (host, component, cluster and the like) of the logs, and the logs of the same type are delivered to the same distributed thread. And after receiving the rule of the notification component, the rule engine carries out expression logic judgment on the log data, changes the log data into an alarm message when the expression condition is met, enters a window counter, provides statistics of the alarm data meeting the condition, and sends the alarm message to a corresponding person in charge through a data sending module.
Specifically, the method comprises the following steps: and the watermark heartbeat simulation program acquires 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 watermark is pushed to rise, and a heartbeat is periodically output according to the latest 10 events by acquiring the time of the event. And the consumption end module deserializes the data and regulates the data format through the data in the consumption log queue. And the watermark output module determines whether the time is in a specified range according to the self-carried time of the event time, and regulates the time to be in normal time if the time is not in the specified range. If the time is within the specified range, outputting a watermark data according to the event time. The grouping distributor groups according to the dimensions (service systems, components, clusters, hosts and the like) carried in the data, and performs distribution expansion in a distributed scene. The rule engine is used for temporarily flattening the nested structure in the data by pre-compiling the expression, then carrying out logic judgment through the rule expression, if True is returned, the condition is met, and if False is returned, the condition is not met. After passing through the rule engine, pushing the data meeting the conditions into a window counter for statistics, and if the data meet 10 conditions within 1 minute, generating a real alarm if the conditions of the window counter are met. And the data sending module pushes the generated alarm to a message queue of the alarm.
The invention also discloses an alarm data watermark detection method, as shown in fig. 2, comprising the following steps:
s1, after the user configures and releases the rule at the rule management terminal, 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 streaming frame alarm processing module generates heartbeat according to the data log and judges through the alarm expression, abnormal and normal data are processed, and alarm information is generated after the judgment is successful;
and S4, the real-time flow frame alarm processing module pushes and processes the alarm information.
The rule management terminal comprises a rule management module, an API module and a notification module; in step S1, the user configures a rule through the rule management module, transmits the rule to the notification module through the API module, and notifies the notification component of the rule through the notification module.
In step S3, the real-time streaming frame alarm processing module generates a heartbeat according to the data log, generates a watermark and combines with the heartbeat signal, and then determines through the alarm expression.
In step S4, the manner of pushing the warning information includes pushing the warning information to the corresponding person through short message, WeChat, or email.
In this embodiment, the data flow is: 1. after the user configures the rules, the server background informs the notification component of the rules through the client by clicking a release button on the interface. 2. And the streaming processing engine establishes a corresponding expression processing task according to the rule. 3. The heartbeat generator delivers the heartbeat to the stream processing engine. 4. The stream processing engine consumption log data is judged through an alarm expression, and generates a watermark and a heartbeat signal which are combined, abnormal and normal data are processed, and an alarm is generated after the judgment is successful. 5. And sending the generated alarm to a message queue, and pushing short messages, WeChats and mails to corresponding business personnel.
When the system is applied, when the alarm data watermark detection system is deployed, the service adopts a distributed architecture, and the management end adopts a mode of combining a BS CS architecture. And the engine side calls the streamx client program to submit the tasks to the cluster through the interface, and after the tasks are submitted, the engine side receives the messages of the message queue and the notification component and generates the watermark to perform alarm judgment.
The system and the method for detecting the watermark of the alarm data mainly concern that the real-time stream log alarm is realized in a watermark detection efficient and accurate mode in a distributed real-time stream frame mode, a rule center server distributes the alarm to tasks of nodes in a cluster through a notification component, the influence of abnormal data or late data on the alarm is guaranteed in a heartbeat program and watermark mode, and the real-time performance and the efficient processing capacity are greatly improved. According to the scheme, for a scene, the log data is late or does not arrive according to normal time, so that a large error exists in statistics, the watermark is pushed to rise by the aid of the log and the watermark, and therefore the influence of late or abnormal data is avoided, and the scene cannot be well met by looking up the conventional scheme. The scheme is used as a scene supplement for the current existing scheme, not only enriches the existing scheme, but also carries out optimization innovation on the architecture, adopts the current popular micro-service and real-time stream architecture, fully decouples the services, greatly improves the stability and reliability of the system, and enriches the existing warning system and method.
In summary, the embodiments of the present invention are merely exemplary and should not be construed as limiting the scope of the invention. All equivalent changes and modifications made according to the content of the claims of the present invention should fall within the technical scope of the present invention.
Claims (9)
1. An alarm data watermark detection system, characterized by: the system comprises a rule management end, a notification component and a real-time flow frame alarm processing module; the rule management end is used for distributing and starting the alarm rule; the notification component is used for sending the rules distributed and started by the rule management end to the real-time flow frame alarm processing module; and the real-time flow frame alarm processing module is used for judging and identifying data according to rules and generating alarm information according to the alarm data.
2. The alert data watermark detection system according to claim 1, wherein: the rule management terminal comprises a rule management module, an API module and a notification module; the rule management module is used for creating, deleting, modifying, inquiring, releasing and canceling rules; the notification module is communicatively coupled to the notification component.
3. The alert data watermark detection system according to 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; all the rule interfaces are in communication connection with a rule distribution program, and the rule distribution program is in communication connection with the notification module.
4. The alert data watermark detection system according to 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 messages to users.
5. The alert data watermark detection system according to claim 1, wherein: the real-time stream frame alarm processing module comprises a watermark heartbeat simulation program, a consumption end module, a watermark output module, a grouping distributor, a rule engine, a window counter and a data sending module; the consumption end module is used for consuming log data in a log queue and receiving the heartbeat provided by the watermark heartbeat simulator; the watermark heartbeat simulation program carries out periodic sampling based on 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 the 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, after receiving the rules of the notification component, the rule engine performs expression logic judgment on log data sent by the packet distributor, if the rules are met, the log data become alarm messages and enter the window counter, and the window counter counts alarm data and sends the alarm data through the data sending module.
6. The alarm data watermark detection method of the alarm data watermark detection system according to any one of claims 1 to 5, wherein: the method comprises the following steps:
s1, after the user configures and releases the rule at the rule management terminal, 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 streaming frame alarm processing module generates heartbeat according to the data log and judges through the alarm expression, abnormal and normal data are processed, and alarm information is generated after the judgment is successful;
and S4, the real-time flow frame alarm processing module pushes and processes the alarm information.
7. The alert data watermark detection method of claim 6, wherein: the rule management terminal comprises a rule management module, an API module and a notification module; in step S1, the user configures a rule through the rule management module, transmits the rule to the notification module through the API module, and notifies the notification component of the rule through the notification module.
8. The alert data watermark detection method of claim 6, wherein: in step S3, the real-time streaming frame alarm processing module generates a heartbeat according to the data log, generates a watermark and combines with the heartbeat signal, and then determines through the alarm expression.
9. The alert data watermark detection method of claim 6, wherein: the manner of pushing the warning information in step S4 includes pushing the warning information to the corresponding person through short message, WeChat, or email.
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