CN109714415B - Data processing method and device - Google Patents
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Abstract
The disclosure relates to a data processing method and device. The method comprises the following steps: sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time; when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region; and uploading the target data to a server. In the technical scheme, the terminal can firstly store a plurality of data to be uploaded in a preset buffer area, and then sequentially reads the data from the preset buffer area and uploads the data to the server when the current Wi-Fi network is located and/or the bandwidth occupancy rate is less than or equal to a preset threshold value, so that the condition of data loss caused by network congestion or poor network signals is avoided, and the reliability of data transmission is improved.
Description
Technical Field
The present disclosure relates to the field of data technologies, and in particular, to a data processing method and apparatus.
Background
With the continuous development and maturity of communication technology, the personalized demands of users are increasing in increasingly popular intelligent terminals, especially mobile terminals. Therefore, in the process of using the mobile terminal by the user, the mobile terminal needs to upload the collected user data to the server frequently, so that the server can provide the required service for the user according to the user data.
Disclosure of Invention
To overcome the problems in the related art, embodiments of the present disclosure provide a data processing method and apparatus. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a data processing method applied to a terminal, including:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
and uploading the target data to a server.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the terminal can firstly store a plurality of data to be uploaded in a preset buffer area, and then sequentially reads the data from the preset buffer area and uploads the data to the server when the current Wi-Fi network is located and/or the bandwidth occupancy rate is less than or equal to a preset threshold value, so that the condition of data loss caused by network congestion or poor network signals is avoided, and the reliability of data transmission is improved.
In one embodiment, the obtaining target data from the plurality of data stored in the preset buffer area when it is determined that the target data is currently in the Wi-Fi network and/or the bandwidth occupancy is less than or equal to the preset threshold value includes:
and when the current Wi-Fi network and/or bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring the target data from the plurality of data stored in the preset cache region according to a storage sequence.
In one embodiment, the method further comprises:
when the target data uploading failure is determined, acquiring failure times N, wherein N is an integer greater than or equal to 1;
and uploading the target data again according to a time interval of t × N, wherein t is a preset time interval.
In one embodiment, the method further comprises:
and if a status code indicating that the server fails to verify the target data is received, confirming that the target data fails to be uploaded.
According to a second aspect of the embodiments of the present disclosure, there is provided a data processing method applied to a server, including:
sequentially storing a plurality of target data uploaded by a terminal to a first queue;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the server can temporarily store a plurality of target data uploaded by the terminal in the first queue in sequence, then sequentially analyze the target data from the first queue, and store the analysis result in the corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short period due to poor performance of the server is avoided, and the reliability of data storage at the server end is improved.
In one embodiment, the obtaining reference data to be parsed from the plurality of target data stored in the first queue includes:
and acquiring reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
In one embodiment, the storing the reference parsing result to a storage area corresponding to the reference data includes:
storing the reference analysis result to a second queue, wherein the second queue stores analysis results of a plurality of target data;
and reading the reference analysis result from the second queue according to the storage time, and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the method further comprises:
when first target data uploaded by the terminal are received, verifying the first target data to obtain a verification result of the first target data, wherein the first target data is any one of the plurality of target data;
and sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
According to a third aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including:
the first storage module is used for sequentially storing a plurality of data to be uploaded to the server in a preset cache region according to acquisition time;
the first acquisition module is used for acquiring target data from a plurality of data stored in a preset cache region when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value;
and the first uploading module is used for uploading the target data to a server.
In one embodiment, the first obtaining module comprises:
and the first obtaining submodule is used for obtaining the target data from the plurality of data stored in the preset cache region according to the storage sequence when the current Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to the preset threshold value.
In one embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring failure times N when the target data uploading failure is determined, wherein the N is an integer greater than or equal to 1;
and the second uploading module is used for re-uploading the target data according to a time interval of t × N, wherein t is a preset time interval.
In one embodiment, the apparatus further comprises:
and the confirming module is used for confirming that the target data uploading fails if a state code indicating that the server fails to verify the target data is received.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a data processing apparatus comprising:
the second storage module is used for sequentially storing a plurality of target data uploaded by the terminal to the first queue;
a third obtaining module, configured to obtain reference data to be analyzed from the multiple target data stored in the first queue;
the fourth acquisition module is used for analyzing the reference data and acquiring a reference analysis result of the reference data;
and the third storage module is used for storing the reference analysis result to a storage area corresponding to the reference data.
In one embodiment, the third obtaining module comprises:
and the second acquisition submodule is used for acquiring the reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
In one embodiment, the third storage module comprises:
the first storage submodule is used for storing the reference analysis result to a second queue, and the second queue stores the analysis results of a plurality of target data;
and the second storage submodule is used for reading the reference analysis result from the second queue according to the storage time and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the apparatus further comprises:
the verification module is used for verifying the first target data when the first target data uploaded by the terminal is received, and obtaining a verification result of the first target data, wherein the first target data is any one of the plurality of target data;
and the sending module is used for sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
According to a fifth aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including:
a first processor;
a first memory for storing first processor-executable instructions;
wherein the first processor is configured to:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
and uploading the target data to a server.
According to a sixth aspect of the embodiments of the present disclosure, there is provided a data processing apparatus comprising:
a second processor;
a second memory for storing second processor-executable instructions;
wherein the second processor is configured to:
sequentially storing a plurality of target data uploaded by a terminal to a first queue;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
According to a seventh aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any one of the embodiments of the first aspect.
According to an eighth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any one of the embodiments of the second aspect.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1a is a flow diagram illustrating a data processing method according to an exemplary embodiment.
FIG. 1b is a flow diagram illustrating a data processing method according to an example embodiment.
FIG. 2a is a flow diagram illustrating a data processing method according to an example embodiment.
FIG. 2b is a flow diagram illustrating a data processing method according to an example embodiment.
FIG. 3 is an interaction diagram illustrating a data processing method according to an example embodiment.
Fig. 4a is a schematic block diagram of a data processing apparatus according to an example embodiment.
Fig. 4b is a schematic block diagram of a data processing apparatus according to an example embodiment.
Fig. 4c is a schematic diagram of the structure of a data processing apparatus according to an example embodiment.
FIG. 4d is a block diagram illustrating a data processing apparatus according to an example embodiment.
Fig. 5a is a schematic block diagram of a data processing apparatus according to an example embodiment.
Fig. 5b is a schematic block diagram of a data processing apparatus according to an example embodiment.
Fig. 5c is a schematic diagram of the structure of a data processing apparatus according to an example embodiment.
FIG. 5d is a block diagram illustrating a data processing apparatus according to an example embodiment.
Fig. 6 is a block diagram illustrating a structure of a data processing apparatus according to an exemplary embodiment.
Fig. 7 is a block diagram illustrating a structure of a data processing apparatus according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The technical scheme provided by the embodiment of the disclosure relates to a terminal and a server, wherein the terminal is a mobile phone, a tablet computer, a game machine and other user equipment, and the server can be a server for providing data storage and analysis services, and can also be a cloud server. In the related art, if a network congestion or poor network signal occurs during the data transmission process of the terminal to the server, the data may be lost before being transmitted to the server. In addition, because the server is connected with a plurality of terminals, the plurality of terminals may transmit data to the server at the same time, and if the server performance is not good and mass data cannot be stored in a short period, the data loss still occurs, so that the data transmitted by the terminals cannot be effectively stored, and both cases may result in poor reliability of data transmission. According to the technical scheme provided by the embodiment of the disclosure, the terminal can firstly store a plurality of data to be uploaded in the preset buffer area, and then when the current Wi-Fi network is located and/or the bandwidth occupancy rate is smaller than or equal to the preset threshold value, the data are sequentially read from the preset buffer area and uploaded to the server, so that the situation of data loss caused by network congestion or poor network signals is avoided.
The embodiment of the disclosure provides a data processing method, and an execution main body for implementing the method comprises a terminal and a server. According to different implementation main bodies of the method, the embodiment of the disclosure arranges two embodiments for realizing the data processing method, as follows:
terminal side
Fig. 1a is a flowchart illustrating a data processing method applied to a terminal according to an exemplary embodiment, and as shown in fig. 1a, the data processing method includes the following steps 101 to 103:
in step 101, a plurality of data to be uploaded to the server are sequentially stored in a preset cache area according to the acquisition time.
For example, the terminal may collect data to be uploaded to the server in real time, and then sequentially store the collected data in the preset cache region according to the collection time, that is, the preset cache region stores a plurality of data to be uploaded to the server. The plurality of data are temporarily stored in the preset cache area, so that the terminal can send the data to the server without acquiring one data, and the condition of data loss caused by network congestion or poor network signals is avoided.
In step 102, when it is determined that the current Wi-Fi (Wireless-Fidelity) network is located and/or the bandwidth occupancy rate is less than or equal to a preset threshold, target data is obtained from the plurality of data stored in the preset cache region.
For example, the terminal may also determine whether it is currently in a Wi-Fi network in real time while collecting data. If the current Wi-Fi network is located, the possibility that network congestion occurs or network signals are poor is low, so that the terminal can acquire target data to be uploaded from a plurality of data stored in the preset cache region, and the target data can be uploaded to a server conveniently; if the terminal is not in the Wi-Fi network at present, the possibility that network congestion occurs or network signals are poor is high, so that the terminal can continuously temporarily store the acquired data in a preset buffer area and upload the data when the network condition is better.
Or, the terminal can also determine whether the current bandwidth occupancy rate is less than or equal to the preset threshold value in real time while acquiring the data. If the current bandwidth occupancy rate is less than or equal to the preset threshold value, the probability that network congestion occurs or network signals are poor is low, so that the terminal can acquire target data to be uploaded from the plurality of data stored in the preset cache region, and the target data can be uploaded to a server conveniently; if the current bandwidth occupancy rate is greater than the preset threshold value, the probability that network congestion occurs or network signals are poor is high, and therefore the terminal can continuously temporarily store the acquired data in the preset cache region and upload the data when the network condition is better.
Alternatively, the terminal may determine whether it is currently in the Wi-Fi network and whether the bandwidth occupancy is less than or equal to a preset threshold. If the current Wi-Fi network is located and the bandwidth occupancy rate is smaller than or equal to the preset threshold value, the probability of network congestion or poor network signal is very low, and the reliability of data transmission can be further ensured, so that the terminal can acquire target data to be uploaded from a plurality of data stored in the preset cache region, and the target data can be uploaded to a server conveniently; if the current Wi-Fi network is not in the Wi-Fi network or the current bandwidth occupancy rate is larger than the preset threshold value, the possibility of network congestion or poor network signals exists, and therefore the terminal can continuously temporarily store the acquired data in a preset buffer area and upload the data when the network condition is better.
Optionally, when it is determined that the current Wi-Fi network is located and/or the bandwidth occupancy is less than or equal to the preset threshold, the terminal may obtain the target data from the multiple data stored in the preset buffer according to the storage sequence, that is, may determine, as the target data, the data with the earliest storage time among the multiple data stored in the preset buffer. Or the terminal may further obtain the target data from the plurality of data stored in the preset cache region according to the data volume, that is, the data with the largest data volume in the plurality of data stored in the preset cache region may be determined as the target data.
In step 103, the target data is uploaded to the server.
For example, the terminal may send the target data to the server via a Wi-Fi network or other wireless communication means.
In the technical scheme provided by the embodiment of the disclosure, the terminal can firstly store a plurality of data to be uploaded in the preset buffer area, and then sequentially read and upload the data to the server from the preset buffer area when the terminal is currently in the Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to the preset threshold value, so that the data loss caused by network congestion or poor network signals is avoided, and the reliability of data transmission is improved.
In one embodiment, as shown in fig. 1b, the method further comprises steps 104 and 105:
in step 104, when it is determined that the target data upload fails, the number N of failures is obtained.
The N is an integer greater than or equal to 1.
In step 105, the target data is re-uploaded at time intervals of t × N.
The t is a predetermined time interval.
For example, when the network is congested or the network signal is poor, the terminal uploads the target data possibly with uploading failure, so that the target data needs to be re-uploaded.
Specifically, the terminal may set a counter and a timer, where the counter is used to record the failure times of uploading failure of the target data, that is, each time the target data is failed, the data recorded by the counter is incremented by 1; the timer is used to set the time interval for re-uploading. After sending the target data, the terminal may detect whether feedback information of uploading failure is received in real time, where the feedback information may be feedback information of network congestion or feedback information of poor network signal. When the feedback information is received, it is determined that the target data upload is failed this time, at this time, the terminal may first instruct the counter to execute a program of adding 1, and then read data N recorded by the counter, where N is the number of times of failure of the target data upload. And then, acquiring the product of the preset time interval t and the N, writing the product into a timer, starting countdown by the timer at the moment, and uploading the target data again by the terminal when the time recorded by the timer is 0. Optionally, the preset time interval t may be 10 minutes, or may be set according to specific situations in practical applications, which is not limited in this disclosure.
Optionally, after the terminal sends the target data, if the server receives the target data, the terminal may check the target data first, that is, check the integrity and format of the target data. And if the target data is incomplete or the format is not consistent, the server determines that the verification fails. The server may then send a status code to the terminal indicating that the target data check failed. When the terminal does not receive the feedback information indicating network congestion or poor network signals, whether a status code indicating that the target data check fails is received or not can be continuously detected. If a status code indicating that the target data check fails is received, it is determined that the target data upload fails this time, at this time, the terminal may first indicate the counter to execute a program of adding 1, and then read data N recorded by the counter, where N is the number of times of failure of the target data upload. And then, acquiring the product of the preset time interval t and the N, writing the product into a timer, starting countdown by the timer at the moment, and uploading the target data again by the terminal when the time recorded by the timer is 0. If the status code indicating that the target data verification fails is not received, it is determined that the target data is uploaded successfully, and at this time, the terminal may continue to acquire the next target data to be uploaded from the plurality of data stored in the preset cache region and upload the target data to the server.
In the technical scheme provided by the embodiment of the disclosure, when the terminal confirms that the target data is unsuccessfully uploaded, the terminal can also re-upload the target data according to the time interval of t × N, so that the situation of increasing network congestion caused by heavy target data transmission when the network is congested is avoided, meanwhile, the success rate of uploading the target data can be ensured as far as possible by avoiding the period of network congestion, and the reliability of data transmission is further improved.
Server side
Fig. 2a is a flowchart illustrating a data processing method applied to a server according to an exemplary embodiment, and as shown in fig. 2a, the data processing method includes the following steps 201 to 204:
in step 201, a plurality of target data uploaded by the terminal are sequentially stored in a first queue.
For example, a plurality of terminals are connected to the server, and each of the plurality of terminals can transmit target data to the server, so that the server may receive the plurality of target data transmitted by the terminal in a short time.
Optionally, to avoid the situation of mis-storage caused by incomplete data or inconsistent format, the server may check each target data received. Taking the example that the server receives the first target data, the first target data is any one of the plurality of target data. The server may first check the first target data, i.e. check the integrity and format of the first target data. If the first target data is complete and the format of the first target data conforms to the preset format, the verification is determined to be successful, and at the moment, the server can send a status code indicating that the verification of the first target data is successful to the terminal which uploads the first target data; if the first target data is incomplete or the format of the first target data does not conform to the preset format, which indicates that partial data loss may occur in the uploading process, the server determines that the verification fails and sends a status code indicating that the verification of the first target data fails to the terminal uploading the first target data, so that the terminal can conveniently re-upload the first target data.
In step 202, reference data to be parsed is obtained from a plurality of target data stored in the first queue.
For example, the data parsing thread of the server may sequentially obtain the reference data to be parsed from the plurality of target data stored in the first queue according to the storage order, that is, the target data stored at the earliest time in the plurality of target data stored in the first queue may be determined as the reference data to be parsed. Alternatively, the data parsing thread of the server may also obtain the reference data to be parsed from the plurality of target data stored in the first queue according to the data volume, that is, the target data with the largest data volume in the plurality of target data stored in the first queue may be determined as the reference data to be parsed.
In step 203, the reference data is analyzed to obtain a reference analysis result of the reference data.
For example, after the data analysis thread of the server determines the reference data to be analyzed in the plurality of target data stored in the first queue, the reference data may be analyzed to obtain a reference analysis result of the reference data.
In step 204, the reference parsing result is stored in a storage area corresponding to the reference data.
For example, the server may set different storage areas for data in different formats, and when each target data is verified, the server may determine a format of each target data and mark each target data with the format of the target data. After reading the reference data from the first queue, the data analysis thread of the server can determine the format of the reference data according to the mark of the reference data, and after obtaining the reference analysis result of the reference data, the data persistence thread of the server stores the reference analysis result to the storage area corresponding to the format of the reference data.
In the technical scheme provided by the embodiment of the disclosure, the server can temporarily store a plurality of target data uploaded by the terminal in the first queue in sequence, then sequentially analyze the target data from the first queue, and store the analysis result in the corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short time due to poor performance of the server is avoided, and the reliability of data storage at the server end is improved.
In one embodiment, as shown in fig. 2b, in step 204, storing the reference parsing result in the storage area corresponding to the reference data may be implemented by steps 2041 to 2042:
in step 2041, the reference parsing result is stored in a second queue, where the second queue stores parsing results of a plurality of target data.
In step 2042, the reference parsing result is read from the second queue according to the storage time, and stored in the storage area corresponding to the reference data.
In practical applications, the data analysis thread of the server may read a plurality of target data from the first queue and obtain analysis results successively, but the server cannot store the target data in a short time. And then the data persistence thread of the server reads the analysis results from the second queue in sequence according to the storage time and stores the analysis results in the corresponding storage area.
Taking the reference analysis result of the reference data as an example, after the data analysis thread of the server obtains the reference analysis result, the reference analysis result may be stored in the second queue according to the analysis time. The data persistence thread of the server may sequentially read data from the second queue for storage according to the storage time, and if the reference analysis result is read from the second queue according to the data persistence thread of the storage time server, the reference analysis result may be stored in a storage area corresponding to the format of the reference data.
In the technical scheme provided by the embodiment of the disclosure, after the server acquires the analysis results of the plurality of target data, the analysis results of the plurality of target data are sequentially temporarily stored in the second queue, and then the analysis results of the plurality of target data are sequentially read from the second queue and stored in the corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short period due to poor performance of the server is further avoided, and the reliability of data storage at the server end is improved.
The implementation is described in detail below by way of several embodiments.
Fig. 3 is an interaction diagram illustrating a data processing method according to an exemplary embodiment, where an execution subject is a terminal and a server, and as shown in fig. 3, the method includes the following steps 301 to 316:
in step 301, the terminal collects a plurality of data to be uploaded to the server.
In step 302, the terminal sequentially stores the plurality of data in a preset buffer area according to the acquisition time.
In step 303, the terminal determines whether the terminal is currently in the Wi-Fi network and whether the bandwidth occupancy rate is less than or equal to a preset threshold; if the current Wi-Fi network is not in the Wi-Fi network or the bandwidth occupancy rate is larger than a preset threshold value, executing the step 301; if the current Wi-Fi network is located and the bandwidth occupancy rate is less than or equal to the preset threshold, go to step 304.
In step 304, the terminal obtains target data to be uploaded from the plurality of data stored in the preset buffer area according to the storage sequence.
In step 305, the terminal uploads the target data to the server, and step 306 is executed.
In step 306, the terminal determines whether the network is abnormal; if the terminal is abnormal, go to step 307; if the terminal is not abnormal, go to step 311.
In step 307, the terminal obtains the failure number N of the target data upload failure due to the network anomaly.
In step 308, the terminal uploads the target data again at time intervals of t × N.
In step 309, the server verifies the target data uploaded by the terminal, and obtains a verification result of the target data.
In step 310, the server sends a status code to the terminal according to the verification result.
The status code is used to indicate that the verification of the target data is successful or failed.
In step 311, the terminal determines whether the status code indicates that the target data check failed; if the status code indicates that the target data check fails, go to step 307; if the status code indicates that the target data is verified successfully, go to step 304.
In step 312, the server sequentially stores the plurality of successfully verified target data uploaded by the terminal in the first queue.
In step 313, the server obtains reference data to be parsed from the plurality of target data stored in the first queue in a storage order.
In step 314, the server parses the reference data to obtain a reference parsing result of the reference data.
In step 315, the server stores the reference parsing result to a second queue, where the second queue stores parsing results of a plurality of target data.
In step 316, the server reads the reference parsing result from the second queue according to the storage time, and stores the reference parsing result in a storage area corresponding to the reference data.
The embodiment of the disclosure provides a data processing method, a terminal can firstly store a plurality of data to be uploaded in a preset buffer area, and then when the current Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, the data are sequentially read from the preset buffer area and uploaded to a server, so that the situation of data loss caused by network congestion or poor network signals is avoided, the server can temporarily store a plurality of target data uploaded by the terminal in a first queue in sequence, then sequentially analyze the target data from the first queue, and store the analysis result in a corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short time due to poor server performance is avoided, and the reliability of data transmission is improved.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 4a is a schematic structural diagram illustrating a data processing apparatus 40 according to an exemplary embodiment, where the apparatus 40 may be implemented as part or all of an electronic device through software, hardware, or a combination of the two. As shown in fig. 4a, the data processing apparatus 40 includes a first storage module 401, a first obtaining module 402 and a first uploading module 403.
The first storage module 401 is configured to sequentially store a plurality of data that need to be uploaded to the server in a preset cache area according to the acquisition time.
A first obtaining module 402, configured to obtain target data from the multiple data stored in the preset buffer area when it is determined that the current Wi-Fi network is located in the wireless fidelity and/or the bandwidth occupancy is smaller than or equal to a preset threshold.
A first uploading module 403, configured to upload the target data to a server.
In an embodiment, as shown in fig. 4b, the first obtaining module 402 includes a first obtaining sub-module 4021, and the first obtaining sub-module 4021 is configured to obtain the target data from the multiple data stored in the preset buffer according to a storage order when it is determined that the current Wi-Fi network and/or the bandwidth occupancy is less than or equal to a preset threshold.
In one embodiment, as shown in fig. 4c, the apparatus 40 further comprises a second obtaining module 404 and a second uploading module 405.
The second obtaining module 404 is configured to obtain a failure number N when it is determined that the target data upload fails, where N is an integer greater than or equal to 1.
A second uploading module 405, configured to upload the target data again according to a time interval t × N, where t is a preset time interval.
In an embodiment, as shown in fig. 4d, the apparatus 40 further includes a confirming module 406, where the confirming module 406 is configured to confirm that the target data upload failed if a status code indicating that the server failed to verify the target data is received.
The embodiment of the disclosure provides a data processing device, which can firstly store a plurality of data to be uploaded in a preset buffer area, and then sequentially read and upload the data to a server from the preset buffer area when the current data is in a Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to a preset threshold value, so that the data loss caused by network congestion or poor network signals is avoided, and the reliability of data transmission is improved.
Fig. 5a is a schematic structural diagram illustrating a data processing apparatus 50 according to an exemplary embodiment, where the apparatus 50 may be implemented as part or all of an electronic device through software, hardware or a combination of the two. As shown in fig. 5a, the data processing apparatus 50 comprises a second storage module 501, a third obtaining module 502, a fourth obtaining module 503 and a third storage module 504.
The second storage module 501 is configured to sequentially store a plurality of target data uploaded by the terminal in the first queue.
A third obtaining module 502, configured to obtain reference data to be parsed from the multiple target data stored in the first queue.
A fourth obtaining module 503, configured to analyze the reference data, and obtain a reference analysis result of the reference data.
A third storage module 504, configured to store the reference parsing result in a storage area corresponding to the reference data.
In one embodiment, as shown in fig. 5b, the third obtaining module 502 includes a second obtaining submodule 5021, and the second obtaining submodule 5021 is configured to obtain, in a storage order, reference data to be parsed from the plurality of target data stored in the first queue.
In one embodiment, as shown in FIG. 5c, third storage module 504 includes a first storage submodule 5041 and a second storage submodule 5042.
The first storage sub-module 5041 is configured to store the reference parsing result in a second queue, where the second queue stores parsing results of a plurality of target data.
And a second storage sub-module 5042, configured to read the reference parsing result from the second queue according to a storage time, and store the reference parsing result in a storage area corresponding to the reference data.
In one embodiment, as shown in fig. 5d, the apparatus 50 further comprises a verification module 505 and a sending module 506.
The verification module 505 is configured to, when first target data uploaded by the terminal is received, verify the first target data to obtain a verification result of the first target data, where the first target data is located in any one of the multiple target data.
A sending module 506, configured to send a status code to the terminal according to the verification result of the first target data, where the status code is used to indicate that the verification of the first target data is successful or failed.
The embodiment of the disclosure provides a data processing device, which can temporarily store a plurality of target data uploaded by a terminal in a first queue in sequence, then sequentially analyze the target data from the first queue, and store the analysis result in a corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short time due to poor server performance is avoided, and the reliability of data storage at a server is improved.
An embodiment of the present disclosure provides a data processing apparatus, including:
a first processor;
a first memory for storing first processor-executable instructions;
wherein the first processor is configured to:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
and uploading the target data to a server.
In one embodiment, the first processor may be further configured to: and when the current Wi-Fi network and/or bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring the target data from the plurality of data stored in the preset cache region according to a storage sequence.
In one embodiment, the first processor may be further configured to: when the target data uploading failure is determined, acquiring failure times N, wherein N is an integer greater than or equal to 1; and uploading the target data again according to a time interval of t × N, wherein t is a preset time interval.
In one embodiment, the first processor may be further configured to: and if a status code indicating that the server fails to verify the target data is received, confirming that the target data fails to be uploaded.
The embodiment of the disclosure provides a data processing device, which can firstly store a plurality of data to be uploaded in a preset buffer area, and then sequentially read and upload the data to a server from the preset buffer area when the current data is in a Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to a preset threshold value, so that the data loss caused by network congestion or poor network signals is avoided, and the reliability of data transmission is improved.
An embodiment of the present disclosure provides a data processing apparatus, including:
a second processor;
a second memory for storing second processor-executable instructions;
wherein the second processor is configured to:
sequentially storing a plurality of target data uploaded by a terminal to a first queue;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the second processor may be further configured to: and acquiring reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
In one embodiment, the second processor may be further configured to: storing the reference analysis result to a second queue, wherein the second queue stores analysis results of a plurality of target data; and reading the reference analysis result from the second queue according to the storage time, and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the second processor may be further configured to: when first target data uploaded by the terminal are received, verifying the first target data to obtain a verification result of the first target data, wherein the first target data is any one of the plurality of target data; and sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
The embodiment of the disclosure provides a data processing device, which can temporarily store a plurality of target data uploaded by a terminal in a first queue in sequence, then sequentially analyze the target data from the first queue, and store the analysis result in a corresponding area, so that the situation of data loss caused by the fact that a large amount of data cannot be stored in a short time due to poor server performance is avoided, and the reliability of data storage at a server is improved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating a structure for a data processing apparatus 60 according to an exemplary embodiment, the apparatus 60 being suitable for a terminal device. For example, the apparatus 60 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
The apparatus 60 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 612, sensor component 614, and communication component 616.
The processing component 602 generally controls overall operation of the device 60, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the apparatus 60. Examples of such data include instructions for any application or method operating on the device 60, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 608 includes a screen that provides an output interface between the device 60 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 60 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 60 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 614 includes one or more sensors for providing various aspects of status assessment for the device 60. For example, the sensor assembly 614 may detect the open/closed status of the device 60, the relative positioning of the components, such as the display and keypad of the device 60, the sensor assembly 614 may also detect a change in the position of the device 60 or a component of the device 60, the presence or absence of user contact with the device 60, the orientation or acceleration/deceleration of the device 60, and a change in the temperature of the device 60. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the apparatus 60 and other devices in a wired or wireless manner. The device 60 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 60 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as the memory 604 including instructions executable by the processor 620 of the apparatus 60 to perform the above-described method. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Fig. 7 is a block diagram illustrating a method for data processing device 70 according to an exemplary embodiment. For example, the apparatus 70 may be provided as a server. The apparatus 70 comprises a processing component 702, which further comprises one or more processors, and memory resources, represented by memory 703, for storing instructions, e.g. application programs, executable by the processing component 702. The application programs stored in memory 703 may include one or more modules that each correspond to a set of instructions. Further, the processing component 702 is configured to execute instructions to perform the above-described methods.
The device 70 may also include a power component 706 configured to perform power management of the device 70, a wired or wireless network interface 705 configured to connect the device 70 to a network, and an input/output (I/O) interface 708. The device 70 may operate based on an operating system stored in memory 703, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
The disclosed embodiment provides a non-transitory computer-readable storage medium, and when instructions in the storage medium are executed by a processor of an apparatus 60, the apparatus 60 is enabled to execute the above data processing method on a terminal side, the method includes:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
and uploading the target data to a server.
In one embodiment, the obtaining target data from the plurality of data stored in the preset buffer area when it is determined that the target data is currently in the Wi-Fi network and/or the bandwidth occupancy is less than or equal to the preset threshold value includes: and when the current Wi-Fi network and/or bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring the target data from the plurality of data stored in the preset cache region according to a storage sequence.
In one embodiment, the method further comprises: when the target data uploading failure is determined, acquiring failure times N, wherein N is an integer greater than or equal to 1; and uploading the target data again according to a time interval of t × N, wherein t is a preset time interval.
In one embodiment, the method further comprises: and if a status code indicating that the server fails to verify the target data is received, confirming that the target data fails to be uploaded.
The disclosed embodiments provide a non-transitory computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor of a device 70, enable the device 70 to perform the above-mentioned server-side data processing method, the method including:
sequentially storing a plurality of target data uploaded by a terminal to a first queue;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the obtaining reference data to be parsed from the plurality of target data stored in the first queue includes: and acquiring reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
In one embodiment, the storing the reference parsing result to a storage area corresponding to the reference data includes: storing the reference analysis result to a second queue, wherein the second queue stores analysis results of a plurality of target data; and reading the reference analysis result from the second queue according to the storage time, and storing the reference analysis result in a storage area corresponding to the reference data.
In one embodiment, the method further comprises: when first target data uploaded by the terminal are received, verifying the first target data to obtain a verification result of the first target data, wherein the first target data is any one of the plurality of target data; and sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (18)
1. A data processing method is applied to a terminal and comprises the following steps:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
uploading the target data to a server;
when it is determined that the current Wi-Fi network is in the Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to the preset threshold, the obtaining of the target data from the plurality of data stored in the preset cache region includes:
and when the current wireless fidelity Wi-Fi network is determined to be in and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring data with the maximum data volume from the plurality of data stored in the preset cache region according to the data volume as target data.
2. The method of claim 1, further comprising:
when the target data uploading failure is determined, acquiring failure times N, wherein N is an integer greater than or equal to 1;
and uploading the target data again according to a time interval of t × N, wherein t is a preset time interval.
3. The method of claim 2, further comprising:
and if a status code indicating that the server fails to verify the target data is received, confirming that the target data fails to be uploaded.
4. A data processing method is applied to a server and comprises the following steps:
sequentially storing a plurality of target data uploaded by a terminal to a first queue, wherein the target data are data with the largest data volume obtained from a plurality of data which are stored in a preset cache region and need to be uploaded to a server according to the data volume when the terminal is in a wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to a preset threshold value;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
5. The method of claim 4, wherein the obtaining reference data to be resolved from the plurality of target data stored in the first queue comprises:
and acquiring reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
6. The method according to claim 4 or 5, wherein the storing the reference resolution result to a storage area corresponding to the reference data comprises:
storing the reference analysis result to a second queue, wherein the second queue stores analysis results of a plurality of target data;
and reading the reference analysis result from the second queue according to the storage time, and storing the reference analysis result in a storage area corresponding to the reference data.
7. The method according to claim 4 or 5, characterized in that the method further comprises:
when first target data uploaded by the terminal are received, verifying the first target data to obtain a verification result of the first target data, wherein the first target data is any one of the plurality of target data;
and sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
8. A data processing apparatus, comprising:
the first storage module is used for sequentially storing a plurality of data to be uploaded to the server in a preset cache region according to acquisition time;
the first acquisition module is used for acquiring target data from a plurality of data stored in a preset cache region when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value;
the first uploading module is used for uploading the target data to a server;
the first obtaining module is specifically configured to, when it is determined that the current Wi-Fi network is in the Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold, obtain, according to the data volume, data with a largest data volume from the plurality of data stored in the preset cache region as target data.
9. The apparatus of claim 8, further comprising:
the second acquisition module is used for acquiring failure times N when the target data uploading failure is determined, wherein the N is an integer greater than or equal to 1;
and the second uploading module is used for re-uploading the target data according to a time interval of t × N, wherein t is a preset time interval.
10. The apparatus of claim 9, further comprising:
and the confirming module is used for confirming that the target data uploading fails if a state code indicating that the server fails to verify the target data is received.
11. A data processing apparatus, comprising:
the second storage module is used for sequentially storing a plurality of target data uploaded by the terminal into the first queue, wherein the target data is data with the largest data volume obtained from a plurality of data which are stored in a preset cache region and need to be uploaded to the server according to the data volume when the terminal is in the wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to a preset threshold value;
a third obtaining module, configured to obtain reference data to be analyzed from the multiple target data stored in the first queue;
the fourth acquisition module is used for analyzing the reference data and acquiring a reference analysis result of the reference data;
and the third storage module is used for storing the reference analysis result to a storage area corresponding to the reference data.
12. The apparatus of claim 11, wherein the third obtaining module comprises:
and the second acquisition submodule is used for acquiring the reference data to be analyzed from the plurality of target data stored in the first queue according to the storage sequence.
13. The apparatus of claim 11 or 12, wherein the third storage module comprises:
the first storage submodule is used for storing the reference analysis result to a second queue, and the second queue stores the analysis results of a plurality of target data;
and the second storage submodule is used for reading the reference analysis result from the second queue according to the storage time and storing the reference analysis result in a storage area corresponding to the reference data.
14. The apparatus of claim 11 or 12, further comprising:
the verification module is used for verifying the first target data when the first target data uploaded by the terminal is received, and obtaining a verification result of the first target data, wherein the first target data is any one of the plurality of target data;
and the sending module is used for sending a status code to the terminal according to the checking result of the first target data, wherein the status code is used for indicating that the checking of the first target data is successful or failed.
15. A data processing apparatus, comprising:
a first processor;
a first memory for storing first processor-executable instructions;
wherein the first processor is configured to:
sequentially storing a plurality of data to be uploaded to a server in a preset cache region according to acquisition time;
when the current wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring target data from a plurality of data stored in a preset cache region;
uploading the target data to a server;
when it is determined that the current Wi-Fi network is in the Wi-Fi network and/or the bandwidth occupancy rate is smaller than or equal to the preset threshold, the obtaining of the target data from the plurality of data stored in the preset cache region includes:
and when the current wireless fidelity Wi-Fi network is determined to be in and/or the bandwidth occupancy rate is smaller than or equal to a preset threshold value, acquiring data with the maximum data volume from the plurality of data stored in the preset cache region according to the data volume as target data.
16. A data processing apparatus, comprising:
a second processor;
a second memory for storing second processor-executable instructions;
wherein the second processor is configured to:
sequentially storing a plurality of target data uploaded by a terminal to a first queue, wherein the target data are data with the largest data volume obtained from a plurality of data which are stored in a preset cache region and need to be uploaded to a server according to the data volume when the terminal is in a wireless fidelity Wi-Fi network and/or the bandwidth occupancy rate is less than or equal to a preset threshold value;
acquiring reference data to be analyzed from a plurality of target data stored in the first queue;
analyzing the reference data to obtain a reference analysis result of the reference data;
and storing the reference analysis result in a storage area corresponding to the reference data.
17. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method of any one of claims 1 to 3.
18. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method of any one of claims 4 to 7.
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| CN110716986B (en) * | 2019-10-17 | 2021-05-04 | 深圳市蓝思网络技术有限公司 | Big data analysis system and application method thereof |
| CN110737655B (en) * | 2019-10-21 | 2021-07-30 | 京东数字科技控股有限公司 | Method and device for reporting data |
| CN112311842A (en) * | 2020-03-09 | 2021-02-02 | 北京沃东天骏信息技术有限公司 | Method and device for information interaction |
| CN112422618B (en) * | 2020-09-23 | 2023-07-04 | 广州启盟信息科技有限公司 | Position sensing data reporting method, device and system |
| CN113162982B (en) * | 2021-03-19 | 2023-12-29 | 维沃移动通信有限公司 | Buried point information reporting method and device and electronic equipment |
| CN115484357A (en) * | 2021-05-31 | 2022-12-16 | 北京小米移动软件有限公司 | Image processing method and electronic device |
| CN114884897A (en) * | 2022-04-18 | 2022-08-09 | 中银金融科技有限公司 | User behavior data reporting method and device |
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