CN113434367A - Data monitoring method and device, storage medium and electronic device - Google Patents
Data monitoring method and device, storage medium and electronic device Download PDFInfo
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- CN113434367A CN113434367A CN202110736953.4A CN202110736953A CN113434367A CN 113434367 A CN113434367 A CN 113434367A CN 202110736953 A CN202110736953 A CN 202110736953A CN 113434367 A CN113434367 A CN 113434367A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3034—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a storage system, e.g. DASD based or network based
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The embodiment of the invention provides a data monitoring method and device, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring stored incremental data from a cloud database; under the condition that the incremental data are determined not to be matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data; and storing the merged data into a database to monitor the merged data. By the method and the device, the problem of data transmission is solved, and the effect of improving the data transmission speed is achieved.
Description
Technical Field
The embodiment of the invention relates to the field of data processing, in particular to a data monitoring method and device, a storage medium and an electronic device.
Background
Cross-platform data transfer is currently widely used in the industry. Currently, several off-line data synchronization methods commonly used in the industry are: an Application Program Interface (API) Interface, a File Transfer Protocol (FTP) local area network, a network disk/cloud disk; full/incremental synchronization between databases.
With the increase of the data volume, the method cannot meet the communication of a large amount of data volume, and potential safety hazards exist.
In view of the above technical problems, no effective solution has been proposed in the related art.
Disclosure of Invention
The embodiment of the invention provides a data monitoring method and device, a storage medium and an electronic device, which are used for at least solving the problem of data transmission in the related technology.
According to an embodiment of the present invention, there is provided a data monitoring method including:
acquiring stored incremental data from a cloud database;
under the condition that the incremental data are determined not to be matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data;
and storing the merged data into the database to monitor the merged data.
According to another embodiment of the present invention, there is provided a data monitoring method including:
sending a data synchronization request to a cloud database, wherein the synchronization request is used for requesting to synchronize the determined incremental data to the cloud database;
under the condition of receiving a synchronization response message, sending the synchronization response message to a database to instruct the database to merge the incremental data and data stored in the database to obtain merged data, wherein the synchronization response message is used for indicating that the incremental data are successfully synchronized into the cloud database;
and monitoring the merged data.
According to another embodiment of the present invention, there is provided a data monitoring apparatus including:
the first acquisition module is used for acquiring the stored incremental data from the cloud database;
the first merging module is used for merging the incremental data and the data stored in the database to obtain merged data under the condition that the incremental data are determined not to be matched with the data stored in the database;
and the first storage module is used for storing the merged data into the database so as to monitor the merged data.
In an exemplary embodiment, the apparatus further includes:
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a synchronization message sent by a data platform before acquiring stored incremental data from a cloud database, and the synchronization message is used for indicating that the incremental data are synchronized to the cloud database;
and the first access module is used for accessing the cloud database by connecting JDBC through the database.
In an exemplary embodiment, the first obtaining module includes:
and the first extraction unit is used for extracting the incremental data from the cloud database to the database through big data Sqoop so as to obtain the incremental data.
In an exemplary embodiment, the first merging module includes:
the first monitoring unit is used for monitoring the incremental data;
and a first merging unit, configured to merge the incremental data into the data stored in the database to obtain the merged data when it is monitored that the incremental data does not match the data stored in the database.
In an exemplary embodiment, the apparatus further includes:
the first determining module is used for merging the incremental data and the data stored in the database under the condition that the incremental data are determined not to be matched with the data stored in the database, and determining the merging state of the merged data after the merged data are obtained;
and the first adding module is used for adding the identification information of the merging state so as to identify whether the merging of the merged data is successful or not.
According to another embodiment of the present invention, there is provided a data monitoring apparatus including:
the device comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a data synchronization request to a cloud database, and the synchronization request is used for requesting to synchronize the determined incremental data to the cloud database;
a second sending module, configured to send, when receiving a synchronization response message, the synchronization response message to a database to instruct the database to merge the incremental data with data stored in the database to obtain merged data, where the synchronization response message is used to indicate that the incremental data is successfully synchronized in the cloud database;
the first monitoring data monitors the merged data.
According to a further embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the stored incremental data is acquired from the cloud database; under the condition that the incremental data are determined not to be matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data; and storing the merged data into a database to monitor the merged data. The data of state change is obtained through increment before data transmission through the cloud database, and redundancy and repeatability of full synchronization are reduced. Therefore, the problem of data transmission can be solved, and the effect of improving the data transmission speed is achieved.
Drawings
Fig. 1 is a block diagram of a hardware structure of a mobile terminal of a data monitoring method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a data monitoring method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a data monitoring method according to an embodiment of the present invention (two);
FIG. 4 is an overall architecture diagram according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a data link diagram according to an embodiment of the present invention;
FIG. 6 is a block diagram of the structure of a data monitoring device according to an embodiment of the present invention;
fig. 7 is a block diagram of the structure of a data monitoring apparatus according to an embodiment of the present invention (ii).
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the example of operating on a mobile terminal, fig. 1 is a hardware structure block diagram of the mobile terminal of a data monitoring method according to an embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the data monitoring method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In this embodiment, a data monitoring method is provided, and fig. 2 is a flowchart (a) of a data monitoring method according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, acquiring stored incremental data from a cloud database;
step S204, under the condition that the incremental data is not matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data;
step S206, storing the merged data into a database to monitor the merged data.
The execution subject of the above steps may be a server, etc., but is not limited thereto.
The embodiment includes but is not limited to application in a scenario of cross-platform data integration and connectivity. The cloud server and the database share data, and safety, effectiveness and stability can be integrated.
Through the steps, the stored incremental data are obtained from the cloud database; under the condition that the incremental data are determined not to be matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data; and storing the merged data into a database to monitor the merged data. The data of state change is obtained through increment before data transmission through the cloud database, and redundancy and repeatability of full synchronization are reduced. Therefore, the problem of data transmission can be solved, and the effect of improving the data transmission speed is achieved.
In an exemplary embodiment, before retrieving the stored incremental data from the cloud database, the method further comprises:
s1, receiving a synchronization message sent by the data platform, wherein the synchronization message is used for indicating that the incremental data are synchronized to the cloud database;
and S2, accessing the cloud database through the database connection JDBC.
In this embodiment, the cloud database intermediate library links the data transfer of the two platforms.
In one exemplary embodiment, retrieving stored incremental data from a cloud database includes:
and S1, extracting the incremental data from the cloud database to the database through the big data Sqoop to acquire the incremental data.
In this embodiment, the GIO extracts the incremental data to the local database of the GIO through the Sqoop to perform data merging of the two parties.
In one exemplary embodiment, in the event that it is determined that the incremental data does not match the data stored in the database, merging the incremental data with the data stored in the database to obtain merged data comprises:
s1, monitoring the incremental data;
and S2, merging the incremental data into the data stored in the database to obtain merged data under the condition that the incremental data is not matched with the data stored in the database.
In this embodiment, the incremental data can be synchronized into the cloud database in real time through monitoring the incremental data.
In an exemplary embodiment, in the case that it is determined that the incremental data does not match the data stored in the database, the method further includes, after merging the incremental data with the data stored in the database, obtaining merged data:
s1, determining the merging state of the merged data;
and S2, adding identification information of the merging state to identify whether merging of the merged data is successful.
In this embodiment, after the data merging is completed, a success/failure flag is set for subsequent query status, so that monitoring and backtracking can be realized.
In this embodiment, a data monitoring method is provided, and fig. 3 is a flowchart (ii) of the data monitoring method according to the embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
step S302, sending a data synchronization request to a cloud database, wherein the synchronization request is used for requesting to synchronize the determined incremental data to the cloud database;
step S304, under the condition that the synchronization response message is received, sending the synchronization response message to a database to indicate the database to merge the incremental data and the data stored in the database to obtain merged data, wherein the synchronization response message is used for indicating that the incremental data are successfully synchronized into the cloud database;
step S306, monitoring the merged data.
The execution subject of the above steps may be a terminal, but is not limited thereto.
The embodiment includes but is not limited to application in a scenario of cross-platform data integration and connectivity. The cloud server and the database share data, and safety, effectiveness and stability can be integrated.
Through the steps, a data synchronization request is sent to the cloud database, wherein the synchronization request is used for requesting the determined incremental data to be synchronized into the cloud database; under the condition that the synchronous response message is received, the synchronous response message is sent to a database to indicate the database to merge the incremental data and the data stored in the database to obtain merged data, wherein the synchronous response message is used for indicating that the incremental data are successfully synchronized into the cloud database; the consolidated data is monitored. The data of state change is obtained through increment before data transmission through the cloud database, and redundancy and repeatability of full synchronization are reduced. Therefore, the problem of data transmission can be solved, and the effect of improving the data transmission speed is achieved.
The invention is illustrated below with reference to specific examples:
with the wide use of the growth IO platform; the collected user behavior data are buried point reporting events, a service system data source is lacked, an internal data source and a buried point event of a growth IO platform need to be introduced to communicate urgently, and the traditional mode of cross-platform data transmission through an API can not meet the communication of hundreds of millions of data quantity; and has potential safety hazards.
In the embodiment, a cloud database (for example, an intermediate database of the Aliskiu) is arranged between a first party and a second party, and account numbers are created and tenant authorization is carried out, so that the security risk existing in the process of exposing the external link address to an external network environment through Token verification authorization in an API mode is eliminated; meanwhile, the stability and the efficiency of data asynchronous transmission are ensured. The data of state change is acquired through increment before transmission, and redundancy and repeatability of full synchronization are reduced.
As shown in fig. 4, the present embodiment includes: carrying out preposed incremental data processing and security audit on the big data cluster; and the cloud intermediate library is connected with the data transfer of the two platforms. And the GIO platform carries out post data merging and data state monitoring.
As shown in fig. 5, the data link diagram in this embodiment includes the following steps:
s1, incrementally combining the big data to a cloud database of the GIO every day;
s2, sending a request through the GIO API, and triggering an upload completion notification;
s3, after receiving the completion notice, the GIO dispatches a new task to the data platform and starts to perform data merging processing;
s4, the GIO accesses the cloud DataBase in a mode of DataBase connection (Java DataBase Connectivity Java, JDBC for short);
s5, the GIO extracts incremental data to a local database of the GIO through the Sqoop to carry out data merging on the two sides;
and S6, after the task is completed, setting success/failure marks for subsequent inquiry states, and realizing monitoring and backtracking.
In summary, in this embodiment, by establishing the intermediate cloud database, party a may synchronize incremental data to the designated cloud database through the Sqoop tool, and party b may also extract daily incremental data for downstream processing through the Sqoop tool, so that the data link is clear, and stability and scalability of the data transmission link are ensured. The first party obtains the data with state change (including the data with state change and daily increment in the historical stock) through data comparison, the capacity and time for transmitting the data are compressed, and the redundant data processing process of the second party is reduced. The intermediate cloud database independently sets the account number and the password of the first party, and authorizes the first party as an administrator, so that the risk that the second party exposes the private data source of the first party is avoided. Meanwhile, the operations of inquiry, editing, modification and the like of the first party and the second party based on the cloud database can be monitored and traced back, and the safety risk caused by opaque data operation is eliminated.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a data monitoring apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description of which has been already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 6 is a block diagram (a) of a data monitoring apparatus according to an embodiment of the present invention, and as shown in fig. 6, the apparatus includes:
a first obtaining module 62, configured to obtain the stored incremental data from the cloud database;
a first merging module 64, configured to merge the incremental data with the data stored in the database to obtain merged data when it is determined that the incremental data is not matched with the data stored in the database;
a first storage module 66 for storing the consolidated data in a database to monitor the consolidated data.
In an exemplary embodiment, the apparatus further includes:
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving a synchronization message sent by a data platform before acquiring stored incremental data from a cloud database, and the synchronization message is used for indicating that the incremental data are synchronized to the cloud database;
and the first access module is used for accessing the cloud database by connecting JDBC through the database.
In an exemplary embodiment, the first obtaining module includes:
and the first extraction unit is used for extracting the incremental data from the cloud database to the database through big data Sqoop so as to obtain the incremental data.
In an exemplary embodiment, the first merging module includes:
the first monitoring unit is used for monitoring the incremental data;
and a first merging unit, configured to merge the incremental data into the data stored in the database to obtain the merged data when it is monitored that the incremental data does not match the data stored in the database.
In an exemplary embodiment, the apparatus further includes:
the first determining module is used for merging the incremental data and the data stored in the database under the condition that the incremental data are determined not to be matched with the data stored in the database, and determining the merging state of the merged data after the merged data are obtained;
and the first adding module is used for adding the identification information of the merging state so as to identify whether the merging of the merged data is successful or not.
Fig. 7 is a block diagram (ii) of the data monitoring apparatus according to the embodiment of the present invention, and as shown in fig. 7, the apparatus includes:
a first sending module 72, configured to send a data synchronization request to the cloud database, where the synchronization request is used to request that the determined incremental data be synchronized into the cloud database;
a second sending module 74, configured to send the synchronization response message to the database when the synchronization response message is received, so as to instruct the database to merge the incremental data and the data stored in the database, so as to obtain merged data, where the synchronization response message is used to indicate that the incremental data is successfully synchronized in the cloud database;
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
In the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for executing the above steps.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
In an exemplary embodiment, the processor may be configured to execute the above steps by a computer program.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for monitoring data, comprising:
acquiring stored incremental data from a cloud database;
under the condition that the incremental data are determined not to be matched with the data stored in the database, combining the incremental data with the data stored in the database to obtain combined data;
storing the consolidated data in the database to monitor the consolidated data.
2. The method of claim 1, wherein prior to retrieving the stored incremental data from the cloud database, the method further comprises:
receiving a synchronization message sent by a data platform, wherein the synchronization message is used for indicating that the incremental data are synchronized into the cloud database;
accessing the cloud database through a database connection JDBC.
3. The method of claim 1, wherein retrieving the stored incremental data from the cloud database comprises:
and extracting the incremental data from the cloud database to the database through big data Sqoop to obtain the incremental data.
4. The method of claim 1, wherein in the event that it is determined that the incremental data does not match data stored in the database, merging the incremental data with data stored in the database to obtain merged data comprises:
monitoring the incremental data;
and under the condition that the incremental data are not matched with the data stored in the database in a monitoring mode, merging the incremental data into the data stored in the database to obtain merged data.
5. The method of claim 1, wherein upon determining that the incremental data does not match data stored in the database, merging the incremental data with data stored in the database, resulting in merged data, the method further comprises:
determining a merging state of merging data;
and adding the identification information of the merging state to identify whether the merging of the merged data is successful.
6. A method for monitoring data, comprising:
sending a data synchronization request to a cloud database, wherein the synchronization request is used for requesting the determined incremental data to be synchronized into the cloud database;
under the condition that a synchronization response message is received, sending the synchronization response message to a database to indicate the database to merge the incremental data and data stored in the database to obtain merged data, wherein the synchronization response message is used for indicating that the incremental data are successfully synchronized into the cloud database;
the consolidated data is monitored.
7. A data monitoring device, comprising:
the first acquisition module is used for acquiring the stored incremental data from the cloud database;
the first merging module is used for merging the incremental data and the data stored in the database to obtain merged data under the condition that the incremental data are determined not to be matched with the data stored in the database;
the first storage module is used for storing the merged data into the database so as to monitor the merged data.
8. A data monitoring device, comprising:
the device comprises a first sending module, a second sending module and a third sending module, wherein the first sending module is used for sending a data synchronization request to a cloud database, and the synchronization request is used for requesting to synchronize the determined incremental data to the cloud database;
the second sending module is used for sending the synchronization response message to a database under the condition that the synchronization response message is received so as to instruct the database to merge the incremental data and the data stored in the database to obtain merged data, wherein the synchronization response message is used for indicating that the incremental data are successfully synchronized into the cloud database;
first monitoring data for monitoring the merged data.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 5 or carries out the method of claim 6.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 5 or to perform the method of claim 6.
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