CN110990414B - Data processing method and device - Google Patents
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Abstract
The application discloses a data processing method and device, wherein the method comprises the following steps: obtaining target identification information in a preset time period in a first service system, obtaining first online data identified by the target identification information in the first service system and second online data identified by the target identification information in a second service system, and performing data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result. According to the method, the online database of the first service system and the online database of the second service system are not required to be accessed respectively based on each data change, so that the online data comparison process is simpler; the method realizes the online comparison of batch data, and can avoid the problems of complex data consistency comparison process and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method. The application also relates to a data processing device, an electronic apparatus and a computer readable storage medium.
Background
In the aggregate service of the network application platform, services provided by a plurality of network service agents are required to be integrated, and certain specific services are realized by the common cooperation of the plurality of network service agents. In the process, the consistency of data among the network service main bodies related to the specific service is required to be maintained, so that the data sharing of the service related party is realized. For example, in the aggregate payment service of the living service type network application platform, the living service type network application platform needs to share the information of the resident merchants with the third party payment mechanism so that each resident merchant can provide the payment service.
Because of factors such as network faults, data transmission faults, emergencies, differences of business processes and management systems of the network service subjects, and the like, data inconsistency among the network service subjects in the aggregate business occurs, and therefore consistency comparison needs to be carried out on the data of the network service subjects. The existing data consistency comparison method mainly comprises online data comparison and offline data comparison, wherein the online data comparison is mainly triggered in real time based on data updating, and the offline data comparison is mainly performed on offline data of each network service main body in a preset time period.
However, the above-described conventional data consistency comparison method has the following drawbacks:
the online data comparison is mainly triggered in real time based on data updating, the process has higher requirement on real time, and when the number of data to be compared is larger, the online databases of all network service main bodies are impacted, namely, the online databases of all network service main bodies need to respond to each online data comparison task triggered in real time respectively, so that the process of data comparison is more complex;
when the offline data is compared, the offline database of each network service main body is required to be accessed to acquire the offline data to be compared, however, because the offline database is higher in creation cost and maintenance cost, not all the network service main bodies are built with the offline database, but the offline database is built for satisfying the offline data comparison, so that the data consistency comparison process is more complex; when offline data to be compared is acquired from the offline database, each network service body is required to provide access rights for the offline database, which threatens the data privacy of each network service body.
Disclosure of Invention
The embodiment of the application provides a data processing method, a data processing device, electronic equipment and a computer readable storage medium, which are used for solving the problems that the existing online data comparison and offline data comparison are complex in data comparison process and threat is caused to the data privacy of a network service main body.
The embodiment of the application provides a data processing method, which comprises the following steps: obtaining target identification information in a preset time period in a first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system; obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system; and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
Optionally, the method further comprises: according to the target identification information in the preset time period, establishing an online comparison task for batch data, wherein the batch data is online data identified by the target identification information in the preset time period; correspondingly, the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system includes: and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
Optionally, the obtaining the target identification information in the predetermined time period in the first service system includes: and obtaining target identification information in a preset time period from an offline database of the first service system.
Optionally, the historical data of the first service system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in the predetermined time period from the offline database of the first service system includes: target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and responding to a trigger instruction for carrying out online comparison on batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
Optionally, the obtaining the first online data identified by the target identification information in the first service system includes: and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
Optionally, the obtaining the second online data identified by the target identification information in the second service system includes: and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
Optionally, the method further comprises: and updating the first online data or the second online data according to the data consistency comparison result.
Another embodiment of the present application further provides a data processing apparatus, including:
a target identification information obtaining unit configured to obtain target identification information in a predetermined period of time in a first service system, the target identification information being used to identify history data in the predetermined period of time in the first service system; an online data obtaining unit, configured to obtain first online data identified by the target identification information in the first service system, and obtain second online data identified by the target identification information in a second service system; the data comparison unit is used for comparing the data consistency of the first online data with the second online data to obtain a data consistency comparison result.
Optionally, the method further comprises: the online comparison task establishing unit is used for establishing an online comparison task for batch data according to the target identification information in the preset time period, wherein the batch data is the online data identified by the target identification information in the preset time period; the obtaining the first online data identified by the target identification information in the first service system and the second online data identified by the target identification information in the second service system includes: and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
Optionally, the obtaining the target identification information in the predetermined time period in the first service system includes: and obtaining target identification information in a preset time period from an offline database of the first service system.
Optionally, the historical data of the first service system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in the predetermined time period from the offline database of the first service system includes: target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and responding to a trigger instruction for carrying out online comparison on batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
Optionally, the obtaining the first online data identified by the target identification information in the first service system includes: and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
Optionally, the obtaining the second online data identified by the target identification information in the second service system includes: and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
Optionally, the method further comprises: and updating the first online data or the second online data according to the data consistency comparison result.
Another embodiment of the present application also provides an electronic device, including a processor and a memory; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to perform operations comprising: obtaining target identification information in a preset time period in a first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system; obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system; and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
Another embodiment of the present application also provides a computer-readable storage medium having stored thereon one or more computer instructions executable by a processor to perform operations comprising: obtaining target identification information in a preset time period in a first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system; obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system; and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
Compared with the prior art, the embodiment of the application has the following advantages:
according to the data processing method provided by the embodiment of the application, target identification information in a preset time period in a first service system is obtained, and the target identification information is used for identifying historical data in the preset time period in the first service system; acquiring first online data identified by target identification information in a first service system and acquiring second online data identified by target identification information in a second service system; and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result. Compared with the existing online data comparison mode, the online data comparison method can realize online data comparison of batch data of the first service system and the second service system according to the target identification information in a preset time period, the online database of the first service system and the online database of the second service system do not need to be accessed respectively based on each data change, the online databases of the service systems do not need to respond to online data comparison tasks triggered in real time each time, and the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems that when the offline data comparison is carried out on batch data, the data consistency comparison process caused by respectively accessing the offline databases of all network service main bodies is complex, and the data privacy of all network service main bodies is threatened.
Drawings
FIG. 1 is a flow chart of a data processing method provided in a first embodiment of the present application;
FIG. 2 is a block diagram of a unit of a data processing apparatus provided in a second embodiment of the present application;
fig. 3 is a schematic logic structure of an electronic device according to a third embodiment of the present application;
fig. 4 is a flowchart illustrating a data alignment method according to a fourth embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar generalizations can be made by those skilled in the art without departing from the spirit of the application and the application is therefore not limited to the specific embodiments disclosed below.
The existing online data comparison method is mainly triggered in real time based on data updating, the process has high real-time requirements, for example, aiming at the aggregate payment business of a life service type network application platform, when the existing data are changed or new data are generated, the life service type network application platform triggers an online data comparison task in real time, the process needs to acquire online data to be compared from the life service type network application platform and a third party payment mechanism in real time respectively, the real-time requirements on a data query interface are high, and when large-batch data comparison is carried out, the impact is easily caused on online databases of the life service type network application platform and the third party payment mechanism.
The existing offline data comparison method is mainly implemented based on an offline data table, for example, copy data is stored in offline databases of two or more service domains respectively for the same service data, and consistency of the copy data can be compared by directly accessing the offline databases, however, the process requires that the offline databases are built by corresponding main bodies of the service domains and access rights of the offline databases are provided, and for a cross-service domain scene, the offline data comparison method has limitations, for example, the copy data is not stored in the same service entity, and each service entity is not willing to provide access rights of the offline databases to other service entities or data comparison systems due to protection requirements of data privacy. For example, in an aggregate payment service of the local life service type network application platform, the local life service type network application platform cannot directly access an offline database of the third party payment mechanism, that is, the third party payment mechanism does not necessarily have an offline database established, and even if the third party payment mechanism has an offline database established, the third party payment mechanism is not willing to provide access rights for the offline database.
Aiming at the data comparison scene, in order to reduce the complexity of the existing online data comparison process and offline data comparison process and avoid threatening the data privacy of a network service main body, the application provides a data processing method, a data processing device corresponding to the method, electronic equipment and a computer readable storage medium. The following provides examples to describe the method, apparatus, electronic device, and computer-readable storage medium in detail.
The first embodiment of the present application provides a data processing method, where an application body of the method may be a computing device application for implementing data comparison, where the computing device application may be executed in a server or a server cluster of a network service body, or may be executed in a server or a server cluster dedicated to data comparison for each network service body. Fig. 1 is a flowchart of a data processing method according to a first embodiment of the present application, and the method according to the present embodiment is described in detail below with reference to fig. 1. The embodiments referred to in the following description are intended to illustrate the method principles and not to limit the practical use.
As shown in fig. 1, the data processing method provided in this embodiment includes the following steps:
s101, obtaining target identification information in a preset time period in a first service system.
The step is used for obtaining target identification information in a preset time period of the first service system, wherein the target identification information is used for identifying historical data in the first service system in the preset time period, for example, the historical data in the preset time period is offline data generated by the first service system in the previous day operation process, and the target identification information can be data number information used for identifying the offline data generated by the first service system in the previous day operation process.
The first business system may refer to a web service principal pre-engaged in data consistency comparison and maintained with an offline database, preferably a web service principal running a computing device application for performing data consistency comparison. For example, in an aggregate payment service of the local lifestyle service-like network application platform, the first service system may be the local lifestyle service-like network application platform. The local life service type network application platform needs to share the information of the resident merchants with the third party payment mechanism so that each resident merchant can provide payment service for users of the local life service type network application platform, therefore, for the same merchant information data, the local life service type network application platform stores copy data A of the merchant information data, and the third party payment mechanism stores copy data B of the merchant information data.
In this embodiment, the obtaining the target identification information in the predetermined period of time in the first service system may refer to obtaining the target identification information in the predetermined period of time from an offline database of the first service system. The historical data of the first service system can be stored in an offline database according to a preset data processing period, the historical data is partitioned according to month, week, day, hour and other units relative to the online data updated in real time, the partitioned historical data is stored in the offline database to form offline data, and the time unit for partitioning the data is the data processing period. The obtaining the target identification information in the predetermined time period from the offline database of the first service system may specifically refer to: the target identification information for identifying the history data in the last data processing period is obtained from the offline database of the first service system, i.e. at a predetermined point in time in the current data processing period, the target identification information for identifying the history data in the last data processing period is obtained from the offline database of the first service system, e.g. at a predetermined point in time today, the data number information of the offline data generated yesterday is obtained by looking up from the offline database of the first service system.
For example, at a predetermined point in time for each day, the local lifestyle service-like web application platform will be 24: the historical data before 00 is set to be in a frozen state, the historical data in the frozen state is partitioned by taking days as time units and then is stored in an offline database, and each day corresponds to one offline data table in the offline database. The process of obtaining the target identification information in the last data processing period from the offline database of the first service system can be realized by running a pre-written data processing script periodically every day, for example, the data source can be merchant number information of the resident merchant, and the data source is 17 a day: the 00-point starts timing data reading task, and 24 days before reading and acquiring: all merchant number information before 00, which may include merchant number information of the same resident merchant in the local lifestyle service type network application platform and merchant number information in a third party payment mechanism.
In this embodiment, in addition to the above-mentioned obtaining the target identification information at the predetermined time point in the current data processing period, the above-mentioned process may be implemented by a trigger instruction, for example, in response to a trigger instruction for performing data consistency comparison on batch data, data number information for identifying offline data in the previous data processing period is obtained by querying from an offline database of the first service system, for example, a data developer of the local life service network application platform performs a touch operation on a preset data consistency comparison control at the predetermined time point, generates a corresponding trigger instruction, and searches for obtaining, based on the trigger instruction, data number information of offline data generated in the previous data processing period from the locally maintained offline database.
S102, obtaining first online data identified by target identification information in a first service system and obtaining second online data identified by target identification information in a second service system.
After the step of obtaining the target identification information in the first service system within the predetermined period of time, the step is used for obtaining the first online data identified by the target identification information in the first service system and obtaining the second online data identified by the target identification information in the second service system.
In this embodiment, the first service system and the second service system may be network service entities corresponding to different service domains. In the aggregation type service of the network application platform, the first service system and the service provided by the second service system are integrated, so that certain specific services can be realized. For example, in the aggregate payment service of the service network application platform, the service network application platform performs data sharing on information of the resident merchants and the third party payment mechanism, so that each resident merchant of the service network application platform can provide payment service.
In this embodiment, after the target identification information in the predetermined period of time in the first service system is obtained, an online comparison task for batch data may be established according to the target identification information, where the batch data may refer to online data identified by the target identification information in the predetermined period of time, the online comparison task for batch data may refer to a batch data processing task for online comparing online data of the first service system identified by the target identification information in the predetermined period of time with online data of the second service system identified by the target identification information, where the batch data processing task may be a data processing task with an explicit life cycle established by a pointer to a fixed data source (for example, data imported from an offline data table or data uploaded through an excel file) and is used for performing batch processing (for example, data correction and data query) of data; correspondingly, the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system may specifically refer to: according to the established online comparison task for the batch data, first online data identified by the target identification information in the first service system is obtained, and second online data identified by the target identification information in the second service system is obtained. For example, after the online comparison task for batch data is triggered, the first online data identified by the target identification information is obtained from the online database of the first service system, and the second online data identified by the target identification information is obtained from the online database of the second service system. For example, a data processing task instance is established for each target identification information, and the running process of the instance mainly completes the following logic: and calling the system service of the local life service type network application platform according to the merchant number information of the same resident merchant in the local life service type network application platform so as to inquire and acquire first online data, such as account information, of the resident merchant in the local life service type network application platform, and inquiring and acquiring second online data of the resident merchant in a third party payment mechanism according to the merchant number information of the resident merchant in the third party payment mechanism.
In this embodiment, the above-mentioned triggering manner of the online comparison task for batch data includes manual triggering and automatic timing triggering, for example, in response to a triggering operation of a data developer for an online comparison task control, an operation of acquiring the first online data and the second online data is performed, or the first online data and the second online data are acquired at regular time every day according to a preset time point.
S103, data consistency comparison is carried out on the first online data and the second online data, and a data consistency comparison result is obtained.
After the first online data and the second online data are obtained in the step, the step is used for carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
The data consistency comparison result is used for indicating whether the copy data stored by the same data in different network service bodies are consistent. For example, the data consistency comparison is performed on the copy data a stored in the local life service network application platform and the copy data B stored in the third party payment mechanism for the same merchant information data, and specifically, the data consistency comparison result of the copy data a and the copy data B can be obtained by comparing the copy data a with the fields (such as a settlement bank of a resident merchant, a merchant name, etc.) having the same semantics in the copy data B.
In this embodiment, after the data consistency comparison result of the first online data and the second online data is obtained, the first online data or the second online data may be updated according to the data consistency comparison result. For example, after the duplicate data A and the duplicate data B are found to be inconsistent, the data consistency comparison result is sent to a terminal used by a data developer, so that the data developer is informed to check the reasons of the inconsistent duplicate data A and the inconsistent duplicate data B online, and the duplicate data A or the duplicate data B is updated accordingly, so that the occurrence of online problems is reduced. The effect finally realized is as follows: on the premise that the third party payment mechanism only provides online data query service, the data consistency comparison process of the first online data of the local life service type network application platform corresponding to the data number and the second online data of the third party payment mechanism can be realized based on the data number of the offline data of the local life service type network application platform in a preset time period (for example, the previous day).
In the process, the third party payment mechanism is not required to provide access rights of an offline database, the third party payment mechanism is not required to establish the offline database, offline data in a preset time period of the local life service network application platform is only required to be used as a data source for triggering online comparison of batch data, initialization configuration is carried out in advance according to the data processing method provided by the method, namely, an online comparison task for batch online data corresponding to the target identification information is established according to target identification information in the preset time period of the local life service network application platform, online data for carrying out data consistency comparison is obtained based on the task, and the obtained online data is compared to obtain a data consistency comparison result. The method realizes the online comparison of batch data, does not depend on an offline database of a third party payment mechanism any more, so that the process of data consistency comparison is easier to implement, the threshold of data consistency comparison is reduced, and the online database of a local life service type network application platform and the online database of the third party payment mechanism are not required to be accessed respectively based on each data change in the online comparison process of the batch data, so that the process of online data consistency comparison is simpler and more efficient.
Compared with the existing online data comparison mode, the online data comparison of batch data of the first service system and the second service system can be realized according to the target identification information in the preset time period, the online databases of the first service system and the online databases of the second service system do not need to be accessed respectively based on each data change, the online databases of the service systems do not need to respond to each online data comparison task triggered in real time, and the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems of too complex data consistency comparison and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body when the offline data is compared.
The first embodiment provides a data processing method, and correspondingly, the second embodiment of the present application also provides a data processing device, and since the device embodiments are basically similar to the method embodiments, the description is relatively simple, and the details of the related technical features should be referred to the corresponding descriptions of the provided method embodiments, and the following descriptions of the device embodiments are merely illustrative.
Referring to fig. 2 for understanding the embodiment, fig. 2 is a block diagram of a unit of an apparatus provided in the embodiment, and as shown in fig. 2, the apparatus provided in the embodiment includes:
a target identification information obtaining unit 201, configured to obtain target identification information in a predetermined period of time in a first service system, where the target identification information is used to identify historical data in the predetermined period of time in the first service system;
an online data obtaining unit 202, configured to obtain first online data identified by the target identification information in the first service system, and obtain second online data identified by the target identification information in a second service system;
and the data comparison unit 203 is configured to perform data consistency comparison on the first online data and the second online data, so as to obtain a data consistency comparison result.
Optionally, the apparatus provided in this embodiment further includes: the online comparison task establishing unit is used for establishing an online comparison task for batch data according to the target identification information in the preset time period, wherein the batch data is the online data identified by the target identification information in the preset time period; the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system includes: and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
Optionally, the obtaining the target identification information in the predetermined time period in the first service system includes: and obtaining target identification information in a preset time period from an offline database of the first service system.
Optionally, the historical data of the first service system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in the predetermined time period from the offline database of the first service system includes: target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and responding to a trigger instruction for carrying out online comparison on batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
Optionally, the obtaining the first online data identified by the target identification information in the first service system includes: and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
Optionally, the obtaining the second online data identified by the target identification information in the second service system includes: and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
Optionally, the device provided in this embodiment further includes a data updating unit, configured to update the first online data or the second online data according to the data consistency comparison result.
The data processing device provided by the embodiment can realize online data comparison of batch data of the first service system and the second service system according to the target identification information in the preset time period, and does not need to access an online database of the first service system and an online database of the second service system respectively based on each data change, so that the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems of too complex data consistency comparison and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body when the offline data is compared. In the foregoing embodiments, a data processing method and a data processing apparatus are provided, and in addition, a third embodiment of the present application further provides an electronic device, and since the electronic device embodiments are substantially similar to the method embodiments, the description is relatively simple, and details of relevant technical features should be referred to the corresponding descriptions of the method embodiments provided above, and the following descriptions of the electronic device embodiments are merely illustrative. The electronic device embodiment is as follows:
Fig. 3 is a schematic diagram of an electronic device according to the present embodiment.
As shown in fig. 3, the electronic device includes: a processor 301; a memory 302;
the memory 302 is configured to store a program for data processing, which when read and executed by the processor, performs the following operations:
obtaining target identification information in a preset time period in a first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system;
obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system;
and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
Optionally, the method further comprises: according to the target identification information in the preset time period, establishing an online comparison task for batch data, wherein the batch data is online data identified by the target identification information in the preset time period; correspondingly, the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system includes: and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
Optionally, the obtaining the target identification information in the predetermined time period in the first service system includes: and obtaining target identification information in a preset time period from an offline database of the first service system.
Optionally, the historical data of the first service system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in the predetermined time period from the offline database of the first service system includes: target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and responding to a trigger instruction for data consistency comparison of batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
Optionally, the obtaining the first online data identified by the target identification information in the first service system includes: and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
Optionally, the obtaining the second online data identified by the target identification information in the second service system includes: and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
Optionally, the method further comprises: and updating the first online data or the second online data according to the data consistency comparison result.
The electronic equipment provided by the embodiment can realize online data comparison of batch data of the first service system and the second service system according to the target identification information in the preset time period, and does not need to access an online database of the first service system and an online database of the second service system respectively based on each data change, so that the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems of too complex data consistency comparison and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body when the offline data is compared. In the above-described embodiments, a data processing method, a data processing apparatus, and an electronic device are provided, and in addition, a computer-readable storage medium for implementing the data processing method is also provided in a fourth embodiment of the present application. The embodiments of the computer readable storage medium provided in the present application are described more simply, and reference should be made to the corresponding descriptions of the above-described method embodiments, the embodiments described below being merely illustrative.
The present embodiment provides a computer-readable storage medium having stored thereon one or more computer programs which, when executed by a processor, implement the steps of:
obtaining target identification information in a preset time period in a first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system;
obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system;
and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
Optionally, the method further comprises: according to the target identification information in the preset time period, establishing an online comparison task for batch data, wherein the batch data is online data identified by the target identification information in the preset time period; correspondingly, the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system includes: and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
Optionally, the obtaining the target identification information in the predetermined time period in the first service system includes: and obtaining target identification information in a preset time period from an offline database of the first service system.
Optionally, the historical data of the first service system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in the predetermined time period from the offline database of the first service system includes: target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
Optionally, the obtaining, from an offline database of the first service system, target identification information for identifying historical data in a last data processing period includes: and responding to a trigger instruction for data consistency comparison of batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
Optionally, the obtaining the first online data identified by the target identification information in the first service system includes: and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
Optionally, the obtaining the second online data identified by the target identification information in the second service system includes: and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
Optionally, the method further comprises: and updating the first online data or the second online data according to the data consistency comparison result.
The computer readable storage medium provided by the embodiment can realize online data comparison of batch data of the first service system and the second service system according to the target identification information in the preset time period, and does not need to access the online database of the first service system and the online database of the second service system respectively based on each data change, so that the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems of too complex data consistency comparison and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body when the offline data is compared.
Please provide a data comparison method in the fourth embodiment, as shown in fig. 4, the method includes the following steps:
step 1.0, the data comparison system obtains the offline data of the previous day from the offline database of the first business system at regular time every day;
step 1.1, a data comparison system establishes a batch data online comparison task according to the offline data, specifically, establishes an online comparison task between online data of a first service system identified by target identification information and online data of a second service system identified by the target identification information according to the target identification information for identifying the offline data;
step 1.20, the data comparison system queries online data of the first service system through a data query application of the first service system, wherein the online data is the online data of the first service system identified by the target identification information;
step 1.21, a data query application of a first service system queries an online database of the first service system;
step 1.22, an online database of the first service system returns an online query result to a data query application of the first service system;
step 1.23, the data query application of the first service system returns first online data to the data comparison system;
Step 1.30, the data comparison system queries online data of the second service system through a data query application of the second service system, wherein the online data is the online data of the second service system identified by the target identification information;
step 1.31, the data query application of the second service system queries an online database of the second service system;
step 1.32, the online database of the second service system returns an online query result to the data query application of the second service system;
step 1.33, the data query application of the second service system returns second online data to the data comparison system;
step 1.4, the data comparison system performs data consistency comparison on the first online data and the second online data;
step 1.51, the data comparison system corrects the online data of the first service system, namely, checks whether the first online data of the first service system is wrong, if so, obtains a checking result (wrong data) and provides the checking result to a service change application of the first service system;
step 1.52, the service change application of the first service system updates the online database of the first service system according to the checking result;
step 1.53, the online database of the first service system returns the updated result to the service change application of the first service system;
Step 1.54, the service change application of the first service system returns the online data correction result of the first service system to the data comparison system;
step 1.60, the data comparison system corrects the online data of the second service system, namely, checks whether the second online data of the second service system is wrong, if so, obtains a checking result (wrong data), and provides the checking result to the service change application of the second service system;
step 1.61, the service change application of the second service system updates the online database of the second service system according to the checking result;
step 1.62, the online database of the second business system returns the updated result to the business change application of the second business system;
and step 1.63, the service change application of the second service system returns the online data correction result of the second service system to the data comparison system.
According to the data comparison method provided by the embodiment, online data comparison of batch data of the first service system and the second service system can be realized according to the target identification information of the previous day, and an online database of the first service system and an online database of the second service system are not required to be accessed respectively based on each data change, so that the online data comparison process is simpler; in addition, the method realizes the online comparison of batch data, does not need a second service system to provide the access authority of the offline database, does not need the second service system to construct the offline database, and can avoid the problems of too complex data consistency comparison and threat to the data privacy of each network service main body caused by respectively accessing the offline database of each network service main body when the offline data is compared.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
1. Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
2. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While the preferred embodiment has been described, it is not intended to limit the invention thereto, and any person skilled in the art may make variations and modifications without departing from the spirit and scope of the present invention, so that the scope of the present invention shall be defined by the claims of the present application.
Claims (18)
1. A method of data processing, comprising:
obtaining target identification information in a predetermined time period in a first service system, including: obtaining target identification information in a preset time period from an offline database of the first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system, and the historical data are offline data stored in the offline database;
Obtaining first online data identified by the target identification information in the first service system and obtaining second online data identified by the target identification information in a second service system;
and carrying out data consistency comparison on the first online data and the second online data to obtain a data consistency comparison result.
2. The method as recited in claim 1, further comprising:
according to the target identification information in the preset time period, establishing an online comparison task for batch data, wherein the batch data is online data identified by the target identification information in the preset time period;
correspondingly, the obtaining the first online data identified by the target identification information in the first service system and the obtaining the second online data identified by the target identification information in the second service system includes:
and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
3. The method of claim 1, wherein the historical data of the first business system is stored in the offline database according to a predetermined data processing period, and the obtaining the target identification information in a predetermined period from the offline database of the first business system comprises:
target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
4. A method according to claim 3, wherein said obtaining target identification information for identifying historical data in a last data processing cycle from an offline database of said first business system comprises:
and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
5. A method according to claim 3, wherein said obtaining target identification information for identifying historical data in a last data processing cycle from an offline database of said first business system comprises:
and responding to a trigger instruction for data consistency comparison of batch data, and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
6. The method according to claim 1 or 2, wherein said obtaining first online data identified by the target identification information in the first service system comprises:
and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
7. The method according to claim 1 or 2, wherein said obtaining second online data identified by said target identification information in a second service system comprises:
and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
8. The method as recited in claim 1, further comprising:
and updating the first online data or the second online data according to the data consistency comparison result.
9. A data processing apparatus, comprising:
a target identification information obtaining unit, configured to obtain target identification information in a predetermined period of time in a first service system, including: obtaining target identification information in a preset time period from an offline database of the first service system, wherein the target identification information is used for identifying historical data in the preset time period in the first service system, and the historical data are offline data stored in the offline database;
An online data obtaining unit, configured to obtain first online data identified by the target identification information in the first service system, and obtain second online data identified by the target identification information in a second service system;
the data comparison unit is used for comparing the data consistency of the first online data with the second online data to obtain a data consistency comparison result.
10. The apparatus as recited in claim 9, further comprising:
the online comparison task establishing unit is used for establishing an online comparison task for batch data according to the target identification information in the preset time period, wherein the batch data is the online data identified by the target identification information in the preset time period;
the obtaining the first online data identified by the target identification information in the first service system and the second online data identified by the target identification information in the second service system includes:
and according to the online comparison task aiming at the batch data, acquiring first online data identified by the target identification information in the first service system and acquiring second online data identified by the target identification information in the second service system.
11. The apparatus of claim 9, wherein the historical data of the first business system is stored in the offline database according to a predetermined data processing period, and wherein the obtaining the target identification information from the offline database of the first business system for a predetermined period of time comprises:
target identification information for identifying historical data in a last data processing period is obtained from an offline database of the first service system.
12. The apparatus of claim 11, wherein the obtaining, from an offline database of the first business system, target identification information for identifying historical data in a last data processing cycle comprises:
and obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system at a preset time point in the current data processing period.
13. The apparatus of claim 11, wherein the obtaining, from an offline database of the first business system, target identification information for identifying historical data in a last data processing cycle comprises:
receiving a trigger instruction for carrying out online comparison on batch data;
And according to the triggering instruction, obtaining target identification information for identifying historical data in the last data processing period from an offline database of the first service system.
14. The apparatus according to claim 9 or 10, wherein said obtaining first online data identified by said target identification information in said first service system comprises:
and obtaining first online data identified by the target identification information in the first service system from an online database of the first service system.
15. The apparatus according to claim 9 or 10, wherein said obtaining second online data identified by said target identification information in a second service system comprises:
and obtaining second online data identified by the target identification information in the second service system from an online database of the second service system.
16. The apparatus as recited in claim 9, further comprising:
and the data updating unit is used for updating the first online data or the second online data according to the data consistency comparison result.
17. An electronic device comprising a processor and a memory; wherein,
The memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method of claims 1-8.
18. A computer readable storage medium having stored thereon one or more computer instructions which are executed by a processor to implement the method of claims 1-8.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387461A (en) * | 2011-10-18 | 2012-03-21 | 北京佳信汇通科技有限公司 | Mobile data service recommendation method, apparatus and system thereof |
| CN103345487A (en) * | 2013-06-24 | 2013-10-09 | 北京奇虎科技有限公司 | Method and system of verifying data consistency between multiple platforms |
| CN103605703A (en) * | 2013-11-08 | 2014-02-26 | 北京奇虎科技有限公司 | Method and system for data consistency detection among multiple platforms |
| CN104252481A (en) * | 2013-06-27 | 2014-12-31 | 阿里巴巴集团控股有限公司 | Dynamic check method and device for consistency of main and salve databases |
| CN105117435A (en) * | 2015-08-07 | 2015-12-02 | 北京思特奇信息技术股份有限公司 | Dynamic data consistency comparison method and system |
| CN106021369A (en) * | 2016-05-11 | 2016-10-12 | 上海佳依佳信息科技有限公司 | Method and equipment for data change management |
| CN108153619A (en) * | 2017-12-25 | 2018-06-12 | 杭州恩牛网络技术有限公司 | A kind of data proofreading method and device |
| GB201815308D0 (en) * | 2018-05-31 | 2018-11-07 | Warevalley Co Ltd | Data consistency verification method and system minimizing load of original database |
| CN109739831A (en) * | 2018-11-23 | 2019-05-10 | 网联清算有限公司 | Data verification method and device between database |
| CN109739742A (en) * | 2018-11-27 | 2019-05-10 | 口碑(上海)信息技术有限公司 | Business datum checking method, device and equipment |
| CN110019269A (en) * | 2017-12-04 | 2019-07-16 | 北京京东尚科信息技术有限公司 | Method, system and the terminal device of data check |
| CN110211659A (en) * | 2019-05-30 | 2019-09-06 | 爱多特(广东)网络技术有限公司 | Remote comprehensive intervenes online wisdom pharmacy management method and system outside glycosuria specialized hospital |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7155205B2 (en) * | 2002-03-12 | 2006-12-26 | Bellsouth Intellectual Property Corporation | System and method for verifying subscriber data records in a telephone system |
-
2019
- 2019-10-31 CN CN201911053133.4A patent/CN110990414B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387461A (en) * | 2011-10-18 | 2012-03-21 | 北京佳信汇通科技有限公司 | Mobile data service recommendation method, apparatus and system thereof |
| CN103345487A (en) * | 2013-06-24 | 2013-10-09 | 北京奇虎科技有限公司 | Method and system of verifying data consistency between multiple platforms |
| CN104252481A (en) * | 2013-06-27 | 2014-12-31 | 阿里巴巴集团控股有限公司 | Dynamic check method and device for consistency of main and salve databases |
| CN103605703A (en) * | 2013-11-08 | 2014-02-26 | 北京奇虎科技有限公司 | Method and system for data consistency detection among multiple platforms |
| CN105117435A (en) * | 2015-08-07 | 2015-12-02 | 北京思特奇信息技术股份有限公司 | Dynamic data consistency comparison method and system |
| CN106021369A (en) * | 2016-05-11 | 2016-10-12 | 上海佳依佳信息科技有限公司 | Method and equipment for data change management |
| CN110019269A (en) * | 2017-12-04 | 2019-07-16 | 北京京东尚科信息技术有限公司 | Method, system and the terminal device of data check |
| CN108153619A (en) * | 2017-12-25 | 2018-06-12 | 杭州恩牛网络技术有限公司 | A kind of data proofreading method and device |
| GB201815308D0 (en) * | 2018-05-31 | 2018-11-07 | Warevalley Co Ltd | Data consistency verification method and system minimizing load of original database |
| CN109739831A (en) * | 2018-11-23 | 2019-05-10 | 网联清算有限公司 | Data verification method and device between database |
| CN109739742A (en) * | 2018-11-27 | 2019-05-10 | 口碑(上海)信息技术有限公司 | Business datum checking method, device and equipment |
| CN110211659A (en) * | 2019-05-30 | 2019-09-06 | 爱多特(广东)网络技术有限公司 | Remote comprehensive intervenes online wisdom pharmacy management method and system outside glycosuria specialized hospital |
Non-Patent Citations (1)
| Title |
|---|
| 基于WebGIS的汶川地震次生地质灾害信息管理系统;黄健;巨能攀;何朝阳;李为乐;刘汉湖;;山地学报(第03期);第355-360页 * |
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