CN112100038A - Data delay monitoring method and device, electronic equipment and computer readable medium - Google Patents
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- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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Abstract
The embodiment of the disclosure discloses a data delay monitoring method, a data delay monitoring device, electronic equipment and a computer readable medium. One embodiment of the method comprises: firstly, determining at least one target event, wherein the target event is marked with a time stamp; in the process, the target event is marked with the timestamp, and a foundation is laid for recording the time of the target event. Then inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one task, and recording the time for each task to process the at least one target event according to a timestamp; the whole processing process of the target event in the full link can be monitored in real time through the process. And finally, displaying the at least one category event. The data delay monitoring condition of the whole target event is displayed through the steps, so that the processing progress of the data in the system can be more effectively known.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a data delay monitoring method, a data delay monitoring device, electronic equipment and a computer readable medium.
Background
With the development of internet technology and the popularization of big data, each data platform presents more and more user interaction data. The existing way of processing data in a streaming way cannot well monitor the processing process of the data in the whole data processing system.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure provide a data delay monitoring method, apparatus, electronic device and computer readable medium to solve the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a data delay monitoring method, including: determining at least one target event, wherein the target event is marked with a time stamp; inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time for each event processing unit to process the at least one target event according to a timestamp; and displaying the at least one category event.
In a second aspect, some embodiments of the present disclosure provide a data delay monitoring apparatus, including: a determining unit configured to determine at least one target event, wherein the target event is marked with a time stamp; the generating unit is configured to input the at least one target event into a preset full link and generate at least one category event, wherein the full link comprises at least one event processing unit, and the time for each event processing unit to process the at least one target event is recorded according to a timestamp; and the display unit is configured to display the at least one category event.
In a third aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, some embodiments of the disclosure provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as described in any of the implementations of the first aspect.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: firstly, determining at least one target event, wherein the target event is marked with a time stamp; in the process, each target event is marked with a timestamp, and a foundation is laid for recording the time of the target event as follows. Then inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time of each event processing unit for processing the at least one target event according to a timestamp; the whole process of the target event in the full link can be monitored in real time through the process (for example, the delay condition of the data and the processing time of the data at each stage in the full link process). And finally, displaying the at least one category event. The data delay monitoring condition of the whole target event is displayed through the steps, so that the processing progress of the data in the system can be more effectively known.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of a data latency monitoring method according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a data latency monitoring method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a data latency monitoring method according to the present disclosure;
FIG. 4 is a schematic block diagram of some embodiments of a data latency monitoring apparatus according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of a data latency monitoring method according to some embodiments of the present disclosure.
As shown in fig. 1, the computing device 101 inputs at least one determined target event 102 (e.g., a target event a, a target event B, and a target event C, all of which are labeled with corresponding timestamps) into a preset full link 103, records a processing time of each target event 102 in the preset full link 103 (in the process of processing the target event a, the target event B, and the target event C, records a timestamp 1, a timestamp 2, and a timestamp 3 of the target event a, a timestamp 1, a timestamp 2, and a timestamp 3 of the target event B, and a timestamp 1, a timestamp 2, and a timestamp 3 of the target event C), and displays the processes on the electronic device 104.
It is understood that the execution subject of the data delay monitoring method may be various software, and may be the computing device 101, or may also be a server, and the execution subject of the method may also include a device formed by integrating the computing device 101 and the server through a network. The computing device 101 may be any of various electronic devices with information processing capabilities, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the execution subject of the data delay monitoring method is software, the method can be installed in the electronic device listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices in fig. 1 is merely illustrative. There may be any number of terminal devices, as desired for implementation.
With continued reference to fig. 2, a flow 200 of some embodiments of a data latency monitoring method according to the present disclosure is shown. The data time delay monitoring method comprises the following steps:
In some embodiments, an executing agent (e.g., the computing device shown in fig. 1) of the data latency monitoring method may determine at least one target event in various ways, where the target event may be any type of event, and each target event is labeled with a timestamp, where the timestamp may be a time when the executing agent starts to process the target event.
As an example, it may be that an event that comments a user experience of a certain application software is taken as a target event within a certain time, the number of the target events is determined by means of statistical analysis, and the time of each comment may be determined as a timestamp.
In some optional implementation manners of some embodiments, the target events are screened out from the received events to be processed according to a first preset condition, where the first preset condition is a preset percentage. The execution main body of the method can screen out the target event from the received events to be processed in various ways.
As an example, one percent of the user comments of at least one user of a certain application software may be selected as the target event by means of random extraction.
In some embodiments, based on the at least one target event obtained in step 201, the executing entity (e.g., the computing device shown in fig. 1) inputs the at least one target event into a pre-selected full link, the pre-selected full link may be a streaming data processing system, and the at least one category event may be a category event filtered according to the event category.
By way of example, comment behavior of at least one user in certain application software is input into a preset full link, and through the processing of the preset full link, the preset full link outputs at least one positive type comment. When the comment of the at least one user is displayed on other equipment, the system can automatically record the current time as a final timestamp.
In some embodiments, based on the at least one category event obtained in step 202, the execution subject may display the at least one category event. The at least one category event can be displayed on an electronic device, and the electronic device can be any type of electronic device capable of presenting any type of image. (e.g., it may be a tablet, cell phone, television, etc.).
One of the above-described various embodiments of the present disclosure has the following advantageous effects: firstly, determining at least one target event, wherein the target event is marked with a time stamp; in the process, each target event is marked with a timestamp, and a foundation is laid for recording the time of the target event as follows. Then inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time of each event processing unit for processing the at least one target event according to a timestamp; the whole process of the target event in the full link can be monitored in real time through the process (for example, the delay condition of the data and the processing time of the data at each stage in the full link process). And finally, displaying the at least one category event. The data delay monitoring condition of the whole target event is displayed through the steps, so that the processing progress of the data in the system can be more effectively known.
With further reference to fig. 3, a flow 300 of further embodiments of a data latency monitoring method is shown. The process 300 of the data delay monitoring method includes the following steps:
In some embodiments, the specific implementation and technical effects of steps 301 and 302 may refer to steps 201 and 202 in the embodiments corresponding to fig. 2, which are not described herein again.
In some embodiments, the executing entity of the method may perform index unification processing on each event of the at least one target event, and the index unification processing may perform data enhancement on the target event.
And 304, performing clustering task processing on the final result to generate at least one first event.
In some embodiments, the executing entity of the method may perform clustering task processing on the final result through various clustering methods to generate at least one first event.
In some embodiments, the executing entity of the method may perform a stitching process on the at least one first event by various methods to generate at least one first feature event, and the stitching process may be to convert the at least one first event from low-dimensional data to high-dimensional data.
In some embodiments, the execution subject may filter the type of the at least one first characteristic event to obtain at least one category event, where the type of the event may be multiple types, such as creativity, fine-grained type, and the like, of the at least one characteristic event.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the data latency monitoring method in some embodiments corresponding to fig. 3 embodies a process from inputting the at least one target event into a preset full link to generating at least one category event. Therefore, the scheme described in the embodiments can more accurately monitor the data information of the whole event in the system in the whole process of streaming data processing, so as to more efficiently perform data delay monitoring.
With further reference to fig. 4, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a data latency monitoring apparatus, which correspond to those of the method shown in fig. 2, and which may be applied in various electronic devices.
As shown in fig. 4, the data delay monitoring apparatus 400 of some embodiments includes: determination section 401, generation section 402, and display section 403. Wherein the determining unit 401 is configured to determine at least one target event, wherein the target event is marked with a time stamp; the generating unit 402 is configured to input the at least one target event into a preset full link, and generate at least one category of event, where the full link includes at least one task, and record a time for each task to process the at least one target event according to a timestamp; the display unit 403 is configured to display the at least one category event.
In an optional implementation manner of some embodiments, the data delay monitoring apparatus 400 further includes a first filtering unit, where the first filtering unit is configured to filter out a target event from the received events to be processed according to a first preset condition, where the first preset condition is a preset percentage.
In an optional implementation manner of some embodiments, the generating unit 402 of the data delay monitoring apparatus 400 further includes a preprocessing unit, where the preprocessing unit is configured to perform event preprocessing on the target event to obtain a preprocessed final result, where the preprocessing includes index unification.
In an optional implementation manner of some embodiments, the preprocessing unit of the data delay monitoring apparatus 400 further includes a clustering unit, where the clustering unit is configured to perform clustering task processing on the final result to generate at least one first event.
In an optional implementation manner of some embodiments, the clustering unit of the data delay monitoring apparatus 400 further includes a splicing unit, where the splicing unit is configured to, for each first event of the at least one first event, splice the first events to generate at least one first characteristic event.
In an optional implementation manner of some embodiments, the splicing unit of the data delay monitoring apparatus 400 further includes a second screening unit, where the second screening unit is configured to screen the at least one category event from the at least one first feature event according to a second preset condition, where the second preset condition is an event type corresponding to the at least one category event.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., the computing device of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device in some embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the computing device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: determining at least one target event, wherein the target event is marked with a time stamp; inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time for each event processing unit to process the at least one target event according to a timestamp; and displaying the at least one category event.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a determination unit, a generation unit, and a display unit. Where the names of these units do not in some cases constitute a limitation of the unit itself, for example, a determination unit may also be described as a "unit that determines at least one target event".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
According to one or more embodiments of the present disclosure, a data delay monitoring method is provided, including: determining at least one target event, wherein the target event is marked with a time stamp; inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time for each event processing unit to process the at least one target event according to a timestamp; and displaying the at least one category event.
According to one or more embodiments of the present disclosure, a target event is screened out from received events to be processed according to a first preset condition, where the first preset condition is a preset percentage.
According to one or more embodiments of the present disclosure, the target event is subjected to event preprocessing to obtain a final result after preprocessing, where the preprocessing includes index unification processing.
According to one or more embodiments of the present disclosure, the final result is subjected to a clustering task to generate at least one first event.
According to one or more embodiments of the present disclosure, for each of the at least one first event, the first event is subjected to a stitching process, and at least one first feature event is generated.
According to one or more embodiments of the present disclosure, the at least one category event is screened from the at least one first feature event according to a second preset condition, where the second preset condition is an event type corresponding to the at least one category event.
According to one or more embodiments of the present disclosure, there is provided a data delay monitoring apparatus, including: a determining unit configured to determine at least one target event, wherein the target event is marked with a time stamp; the generating unit is configured to input the at least one target event into a preset full link and generate at least one category event, wherein the full link comprises at least one event processing unit, and the time for each event processing unit to process the at least one target event is recorded according to a timestamp; and the display unit is configured to display the at least one category event.
According to one or more embodiments of the present disclosure, the data delay monitoring apparatus further includes a first filtering unit, where the first filtering unit is configured to filter out a target event from the received events to be processed according to a first preset condition, where the first preset condition is a preset percentage.
According to one or more embodiments of the present disclosure, the generation unit of the data delay monitoring apparatus further includes a preprocessing unit, where the preprocessing unit is configured to perform event preprocessing on the target event to obtain a final result after preprocessing, where the preprocessing includes index unification processing.
According to one or more embodiments of the present disclosure, the preprocessing unit of the data delay monitoring apparatus further includes a clustering unit, wherein the clustering unit is configured to perform clustering task processing on the final result to generate at least one first event.
According to one or more embodiments of the present disclosure, the clustering unit of the data delay monitoring apparatus further includes a splicing unit, where the splicing unit is configured to, for each of the at least one first event, splice the first events to generate at least one first characteristic event.
According to one or more embodiments of the present disclosure, the splicing unit of the data delay monitoring apparatus further includes a second screening unit, where the second screening unit is configured to screen the at least one category event from the at least one first feature event according to a second preset condition, where the second preset condition is an event type corresponding to the at least one category event.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (9)
1. A data delay monitoring method comprises the following steps:
determining at least one target event, wherein the target event is marked with a time stamp;
inputting the at least one target event into a preset full link to generate at least one category event, wherein the full link comprises at least one event processing unit, and recording the time of each event processing unit for processing the at least one target event according to a timestamp;
and displaying the at least one category event.
2. The method of claim 1, wherein prior to determining at least one target event, further comprising:
screening out target events from received events to be processed according to a first preset condition, wherein the first preset condition is a preset percentage.
3. The method of claim 1, wherein the inputting the at least one target event into a preset full link, generating at least one category event, comprises:
and performing event preprocessing on the target event to obtain a final result after preprocessing, wherein the preprocessing comprises index unified processing.
4. The method of claim 3, wherein the event preprocessing the target event to obtain a preprocessed final result comprises:
and performing clustering task processing on the final result to generate at least one first event.
5. The method of claim 4, wherein the event preprocessing the target event to obtain a preprocessed final result comprises:
for each first event in the at least one first event, performing splicing processing on the first events to generate at least one first characteristic event.
6. The method of claim 5, wherein the stitching the first event for each of the at least one first event, generating at least one first feature event comprises:
and screening the at least one category event from the at least one first characteristic event according to a second preset condition, wherein the second preset condition is an event type corresponding to the at least one category event.
7. A data delay monitoring apparatus, comprising:
a determining unit configured to determine at least one target event, wherein the target event is marked with a time stamp;
the generating unit is configured to input the at least one target event into a preset full link, generate at least one category of event, wherein the full link comprises at least one task, and record the time for each task to process the at least one target event according to a timestamp;
a display unit configured to display the at least one category event.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-6.
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