CN103345487B - A kind of multi-platform between the method and system of consistency verification of data - Google Patents

Abstract

The invention discloses a method for checking data consistency between multiple platforms. The multiple platforms include a first platform and a second platform that communicate with each other. The method includes: collecting the first platform within a preset time period platform data interaction information, extract the first feature parameter information from the platform data interaction information and write it into the first information table; obtain the data record information of the second platform in the corresponding preset time period, and obtain the data record information from the data record information Extracting the second characteristic parameter information from the second information table and writing it into the second information table; judging whether the corresponding interaction data characteristic values in the first characteristic parameter information and the second characteristic parameter information are consistent. The invention can automatically acquire and compare the data distributed among the platforms, can accurately and timely find out the characteristic value of the interactive data inconsistent between the platforms, reduces human participation, and reduces the consumption of platform resources.

Description

A method and system for checking data consistency between multiple platforms

technical field

The invention relates to the technical field of data processing, in particular to a method and system for checking data consistency between multiple platforms.

Background technique

Nowadays, with the increasing popularity of the Internet, e-commerce has been integrated into people's daily life. E-commerce in the usual sense usually refers to the wide range of commercial and trade activities around the world, under the open network environment of the Internet, based on the browser/server application mode, buyers and sellers carry out various commercial and trade activities without meeting each other, and realize consumer satisfaction. It is a new type of business operation mode of online shopping, online transactions between merchants and online electronic payment, as well as various business activities, transaction activities, financial activities and related comprehensive service activities.

The vigorous development of e-commerce in recent years has made the task of comparing and verifying data consistency between platforms that are physically independent and interrelated in business more and more difficult, and the comparison and detection of data consistency between platforms has become more and more difficult. It is one of the main indicators of the robustness of the business platform and is indispensable. If this function is missing, it will seriously lead to the uncertainty of business data between platforms, which in turn will lead to problems such as business anomalies and billing ambiguity.

Contents of the invention

In view of the above problems, the present invention is proposed to provide a method for checking data consistency between multiple platforms and a corresponding system for checking data consistency between multiple platforms to overcome the above problems or at least partially solve the above problems .

According to one aspect of the present invention, a method for checking data consistency between multiple platforms is provided, the multiple platforms include a first platform and a second platform that communicate with each other, and the method includes:

Collect platform data interaction information of the first platform within a preset time period, extract first characteristic parameter information from the platform data interaction information and write it into the first information table; the characteristic parameter information includes: first platform data service identification, the characteristic value of the interactive data, and the identification of the first data processing state;

Acquiring the data record information of the second platform within the corresponding preset time period, extracting the second characteristic parameter information from the data record information and writing it into the second information table; wherein, the second characteristic parameter information includes: the second platform A data service identifier, a first platform data service identifier associated with the second platform data service identifier, an interaction data feature value, and a second data processing status identifier;

Extracting the second characteristic parameter information in the second information table one by one, and extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information;

Judging whether the corresponding interaction data feature values in the first feature parameter information and the second feature parameter information are consistent;

If they are consistent, update the first data processing status identifier to a liquidation completion status, and update the second data processing status identifier to a comparison completion status;

If not, update the second data processing status identifier to the clearing comparison status, and extract the corresponding first characteristic parameter information and/or second characteristic parameter information and write it into the third information table.

Optionally, the step of extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information includes:

Extracting the first platform data service identifier associated with the second platform data service identifier in the second feature parameter information;

Extract corresponding first feature parameter information from the first information table according to the first platform data service identifier.

Optionally, the method also includes:

When the corresponding interaction data feature values in the first information table and the second information table are consistent, the corresponding first feature parameter information and/or second feature parameter information are extracted and written into the fourth information table.

Optionally, the third information table also includes an error type; the method also includes:

When extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information fails, update the error type in the third information table to the error type of data search failure;

When the corresponding interaction data feature values in the first information table and the second information table are inconsistent, update the error type in the third information table to an error type of data inconsistency.

Optionally, the third information table further includes a processing type, and the processing type includes an unprocessed type and a processing completion type; the method further includes:

Traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

Optionally, the multi-platform also includes communicating with the first platform and the third platform; the method also includes:

Obtain the data record information of the third platform within the corresponding preset time period, extract the third characteristic parameter information from the data record information and write it into the fifth information table; wherein, the third characteristic parameter information includes: the third platform The data service identifier, the first platform data service identifier associated with the third platform data service identifier, the interactive data feature value, and the third data processing status identifier;

Extracting the third characteristic parameter information in the fifth information table one by one, and extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information;

Judging whether the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent;

If consistent, update the first data processing status identifier to a clearing completion status, and update the third data processing status identifier to a comparison completion status;

If not, update the third data processing status identifier to the clearing comparison status, and extract the corresponding first characteristic parameter information and/or third characteristic parameter information and write it into the third information table.

Optionally, the step of extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information includes:

Extracting the first platform data service identifier associated with the third platform data service identifier in the third characteristic parameter information;

Extract corresponding first feature parameter information from the first information table according to the first platform data service identifier.

Optionally, the method also includes:

When the corresponding interaction data feature values in the first information table and the third information table are consistent, the corresponding first feature parameter information and/or third feature parameter information are extracted and written into the fourth information table.

Optionally, the method also includes:

When extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information fails, update the error type in the third information table to the error type of data search failure;

When the corresponding interaction data feature values in the fifth information table and the second information table are inconsistent, update the error type in the third information table to an error type of data inconsistency.

Optionally, the method also includes:

Traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

Optionally, the first platform is a third-party payment platform, the second platform is a banking system platform, and the third platform is an e-commerce website platform; the data business identifier of the first platform is that of a third-party payment platform The transaction order number; the second platform data service identification is the transaction order number of the banking system platform; the third platform data service identification is the transaction order number of the e-commerce website platform; the interactive data feature value is the transaction amount.

According to another aspect of the present invention, a system for checking data consistency between multiple platforms is provided, the multiple platforms include a first platform and a second platform that communicate with each other, and the system includes:

The collecting module is used to collect the platform data interaction information of the first platform within a preset time period, extract the first characteristic parameter information from the platform data interaction information and write it into the first information table; the characteristic parameter information includes: The first platform data service identifier, the characteristic value of the interactive data, and the first data processing status identifier;

An acquisition module, configured to acquire data record information of the second platform within a corresponding preset time period, extract second characteristic parameter information from the data record information, and write it into a second information table; wherein, the second characteristic parameter information Including: the second platform data service identifier, the first platform data service identifier associated with the second platform data service identifier, the interactive data feature value, and the second data processing status identifier;

An extraction module, configured to extract the second characteristic parameter information in the second information table one by one, and extract the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information;

A judging module, configured to judge whether the corresponding interaction data characteristic values in the first characteristic parameter information and the second characteristic parameter information are consistent;

An update module, configured to update the first data processing status flag to a liquidation completion status if the first feature parameter information is consistent with the corresponding interaction data feature values in the second feature parameter information, and update the second data processing status The processing status flag is updated to the comparison completion status;

And, if the corresponding interaction data characteristic values in the first characteristic parameter information and the second characteristic parameter information are inconsistent, update the second data processing state flag to the clearing comparison state, and extract the corresponding first characteristic parameter The information and/or the second feature parameter information are written into the third information table.

Optionally, the extraction module includes:

An identifier extraction submodule, configured to extract the first platform data service identifier associated with the second platform data service identifier in the second characteristic parameter information;

The parameter search submodule is configured to extract corresponding first feature parameter information from the first information table according to the first platform data service identifier.

Optionally, where,

The update module is also used to extract the corresponding first feature parameter information and/or second feature parameter information and write it into the fourth information when the corresponding interaction data feature values in the first information table and the second information table are consistent. surface.

Optionally, the third information table also includes error types; the system also includes:

A type update module, configured to update the error type in the third information table to an error of data search failure when the corresponding first characteristic parameter information in the first information table fails to be extracted according to the second characteristic parameter information Types of;

And, the type updating module is further configured to update the error type in the third information table to an error type of data inconsistency when the corresponding interaction data feature values in the first information table and the second information table are inconsistent.

Optionally, the third information table also includes a processing type, and the processing type includes an unprocessed type and a processing completion type; the system further includes:

The traversal processing module is also used to traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

Optionally, the multi-platform also includes a first platform and a third platform that communicate with each other; the system also includes:

The obtaining module is also used to obtain data recording information of the third platform within a corresponding preset time period, and extract third characteristic parameter information from the data recording information and write it into the fifth information table; wherein, the third characteristic The parameter information includes: the third platform data service identifier, the first platform data service identifier associated with the third platform data service identifier, the interactive data feature value, and the third data processing status identifier;

The extraction module is also used to extract the third characteristic parameter information in the fifth information table one by one, and extract the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information;

The judging module is also used to judge whether the corresponding interaction data characteristic values in the first characteristic parameter information and the third characteristic parameter information are consistent;

The update module is further configured to update the first data processing status flag to a liquidation completion status if the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent, and update the second 3. The data processing status indicator is updated to the comparison completion status;

The update module is further configured to update the third data processing state identifier to the clearing comparison state if the corresponding interaction data characteristic values in the first characteristic parameter information and the third characteristic parameter information are inconsistent, and extract the corresponding The first feature parameter information and/or the third feature parameter information are written into the third information table.

Optionally, the extraction module includes:

The identifier extraction submodule is also used to extract the first platform data service identifier associated with the third platform data service identifier in the third characteristic parameter information;

The parameter extraction sub-module is further configured to extract corresponding first characteristic parameter information in the first information table according to the first platform data service identifier.

Optionally, where,

The update module is also used to extract the corresponding first feature parameter information and/or third feature parameter information and write it into the fourth information when the corresponding interaction data feature values in the first information table and the fifth information table are consistent. surface.

Optionally, the system also includes:

The type update module is further configured to update the error type in the third information table to data lookup failure when the corresponding first characteristic parameter information in the first information table fails to be extracted according to the third characteristic parameter information the type of error;

And, the type updating module is further configured to update the error type in the third information table to an error type of data inconsistency when the corresponding interactive data feature values in the fifth information table and the second information table are inconsistent.

Optionally, the system also includes:

The traversal processing module is also used to traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

According to a method and system for checking data consistency between multiple platforms of the present invention, data distributed between platforms can be automatically acquired and compared, and inconsistent interactive data feature values between platforms can be found accurately and in a timely manner , reducing human participation and reducing the consumption of platform resources. The present invention can use the database to compare data between platforms, so it can directly use the transaction function of the database itself, which can ensure that once a downtime occurs or execution is interrupted due to other reasons, it can be re-executed from the beginning without generating The implementation of intermediate data is simple, which reduces the difficulty of development. In addition, the present invention can also provide an automatic alarm mechanism. If the data of the platform is not successfully acquired, an email or SMS alarm can be sent, so that the operation and maintenance personnel can contact the relevant person in charge of each platform to inquire about the specific reasons for the failure of data acquisition. It solves the uncertainty of data between multiple platforms, which leads to business abnormalities and billing ambiguity, etc., improves the efficiency of data verification between multiple platforms, protects the consistency of data between multiple platforms, and ensures The beneficial effect of the robustness of the business between multiple platforms.

The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable , the specific embodiments of the present invention are enumerated below.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiment. The drawings are only for the purpose of illustrating a preferred embodiment and are not to be considered as limiting the invention. Also throughout the drawings, the same reference numerals are used to designate the same parts. In the attached picture:

FIG. 1 shows a flow chart of the steps of a method embodiment of a data consistency check between multiple platforms according to Embodiment 1 of the present invention;

FIG. 2 shows a flow chart of steps of a part of a method embodiment of a method for checking data consistency between multiple platforms according to Embodiment 2 of the present invention;

FIG. 3 shows a structural block diagram of a system embodiment of a data consistency check between multiple platforms according to Embodiment 1 of the present invention;

FIG. 4 shows a structural block diagram of a part of a system for checking data consistency between multiple platforms according to Embodiment 2 of the present invention.

detailed description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

Referring to FIG. 1 , it shows a flow chart of steps of a method embodiment of a data consistency check between multiple platforms of the present invention, the multiple platforms may include a first platform and a second platform communicating with each other, and the The method may include the steps of:

Step S101, collect the platform data interaction information of the first platform within a preset time period, extract the first characteristic parameter information from the platform data interaction information and write it into the first information table; the characteristic parameter information includes: the first Platform data service identifier, interactive data feature value, and first data processing status identifier;

Step S103, acquiring data record information of the second platform within a corresponding preset time period, extracting second characteristic parameter information from the data record information and writing it into a second information table; wherein, the second characteristic parameter information includes: The second platform data service identifier, the first platform data service identifier associated with the second platform data service identifier, the interactive data feature value, and the second data processing status identifier;

Step S105, extracting the second characteristic parameter information in the second information table one by one, and extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information;

Step S107, judging whether the corresponding interaction data feature values in the first feature parameter information and the second feature parameter information are consistent; if they are consistent, perform step S109; if they are not consistent, perform step S111;

Step S109, updating the first data processing status identifier to the liquidation completion status, and updating the second data processing status identifier to the comparison completion status;

Step S111 , updating the second data processing status flag to the clearing comparison status, and extracting the corresponding first characteristic parameter information and/or second characteristic parameter information and writing them into the third information table.

In order for those skilled in the art to further understand the embodiments of the present invention, the embodiments of the present invention will be described in detail below through the verification of transaction records in electronic commerce.

In e-commerce, the first platform may be a third-party payment platform, the second platform may be a banking system platform, and the third platform may be an e-commerce website platform; the data service identifier of the first platform may be The transaction order number of the third-party payment platform; the second platform data service identification can be the transaction order number of the banking system platform; the third platform data service identification can be the transaction order number of the e-commerce website platform; the interaction data The feature value can be transaction amount.

It should be noted that the so-called third-party payment platforms are transaction support platforms provided by third-party independent institutions that have signed contracts with the country where the product is located and major foreign banking system platforms, and have certain strength and reputation guarantee. In the transaction through the third-party payment platform, after the buyer purchases the goods, he uses the account provided by the third-party payment platform to pay for the goods, and the third-party payment platform notifies the e-commerce website platform that the payment has arrived and delivers the goods; after the buyer inspects the goods, You can notify the payment to the e-commerce website platform, and the third-party payment platform will transfer the money to the account of the e-commerce website platform.

In the embodiment of the present invention, the verification of transaction records between different platforms can be performed by using the transaction records obtained from the third-party payment platform and the banking system platform to import into the database for comparison and verification. Since there may be some transaction records, After the third-party payment platform sends, the banking system platform may not receive or process it, so it is more reasonable and accurate to use the transaction records that have been processed by the banking system platform for comparison.

In the specific implementation, since the original transaction records of each platform often have different emphases, the content fields of the records are also different. If the original transaction table used to record transaction records is used, the data consistency between the verification platforms cannot be satisfied. Therefore, it is usually necessary to use a separate table for recording and verification. The elements of the transaction table of each platform generally include the transaction order number of the e-commerce website platform that triggered the transaction externally, the transaction initiation time of the e-commerce website platform, the transaction initiation time of the third-party payment platform, and the transaction completion time of the third-party payment platform , the transaction completion time of the banking system platform, the transaction order number returned by the banking system platform, the transaction amount of the banking system platform, the transaction status of the banking system platform, and so on. The factors that need to be considered in the comparison and verification of transaction records are the transaction order number of the third-party payment platform, the transaction order number of the banking system platform, the transaction amount of the banking system platform, the transaction time of the banking system platform, whether they have participated in the comparison, Whether the data is consistent, the reason for the error, and so on. Since there are certain differences between the two, it is more convenient to use a separate table for verification.

First of all, it can be determined that the verification cycle is a natural day. At two o'clock in the morning every day (the cycle and time are just examples), the third-party payment platform can collect platform data interaction information during this cycle, that is, it and the bank The transaction records of the system platform are written into the first information table (collection table), and then the data record information of the banking system platform is collected, that is, the transaction records of the third-party payment platform are written into the second information table (external record table) for comparison and verification, If the transaction record of the third-party payment platform is found to be consistent with the transaction data of the banking system platform, the transaction record can be written into the fourth information table (outer flat table), and the first data processing state identification in the collection table is updated as In the status of liquidation completion, update the second data processing status identifier in the external record table to the status of comparison completion; if it is found that the transaction record of the third-party payment platform is inconsistent with the transaction amount of the banking system platform, the transaction record can be written into the first Three information tables (heterodyne tables), and update the second data processing status identifier of the external record table to the clearing and comparison status.

Preferably, the third-party payment platform obtains the record file of the transaction record generated by the banking system platform, and can use FTP (File Transfer Protocol, File Transfer Protocol) to obtain, that is, at a fixed time every day, the bank system platform copies the record file to the specified The path where the FTP service is exposed on the server, such as the path: /home/ftp/, the location where the path is exposed to the remote computer is FTP://xxx.xxx.xxx.xxx./, this path location can be a prior The agreed location, so that the third-party payment platform can go to the path location to obtain the record file at a fixed time every day through the pre-agreed user name and password.

In a preferred embodiment of the present invention, the step S105 may include the following sub-steps:

Sub-step S11, extracting the first platform data service identifier associated with the second platform data service identifier in the second characteristic parameter information;

Sub-step S12, extracting corresponding first feature parameter information from the first information table according to the first platform data service identifier.

In practice, the transaction records obtained from the banking system platform and written into the external record table have a transaction order number associated with the third-party payment platform, and the corresponding third-party payment can be extracted from the collection table based on the transaction order number of the banking system platform. Transaction records of the payment platform.

Optionally, the method may also include:

When the corresponding interaction data feature values in the first information table and the second information table are consistent, the corresponding first feature parameter information and/or second feature parameter information are extracted and written into the fourth information table.

In the embodiment of the present invention, if the corresponding transaction records in the collection table and the external record table are consistent, the transaction record can be extracted and written into the external table, indicating that the transaction has been cleared, and the banking system platform and the third-party payment platform have completed the transaction. In addition, if the corresponding transaction records in the collection table and the external transaction table are inconsistent, the transaction record can be extracted and written into the heterodyne table, indicating that the transaction has not been liquidated, and the banking system platform and the third-party payment platform have not yet completed the transaction. Relevant follow-up processing is required.

Optionally, the third information table may also include error types; the method may also include:

When extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information fails, update the error type in the third information table to the error type of data search failure;

When the corresponding interaction data feature values in the first information table and the second information table are inconsistent, update the error type in the third information table to an error type of data inconsistency.

In the embodiment of the present invention, a field may be added in the heterodyne table: error type. If it fails to obtain the transaction records in the collection table based on the transaction order number associated with the banking system platform and the third-party payment platform, update this field to the error type of data search failure, indicating that the search for transaction records failed, and in the collection table and There are no transaction records related to the banking system platform. If the transaction record in the collection table is obtained successfully based on the transaction order number associated with the banking system platform and the third-party payment platform, but the transaction amount of the transaction records of both parties is found to be inconsistent, then update this field to an error type of data inconsistency, indicating that the first The records of the third-party payment platform may be wrong, or have not been updated, so as to synchronize with the transaction records of the banking system platform.

Optionally, the third information table may also include a processing type, and the processing type may include an unprocessed type and a processing completion type; the method may also include:

Traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

In the embodiment of the present invention, a field may be added in the heterodyne table: processing type, where the processing type may include an unprocessed type and a processed type. For each transaction record added to the heterodyne table, it needs to be processed eventually, so each transaction record in the heterodyne table will mark an attribute in the processing type, indicating whether the processing is completed. For the transaction records accumulated in the foreign table, the operation and maintenance personnel can communicate with the personnel of the banking system platform according to the transaction order number, find out the cause of the error, and finally mark all the transaction records of the foreign table as "processing completed".

It should be noted that there are many ways to verify the transaction records. In the embodiment of the present invention, a database can be used, and the database has a transaction function. Re-execute without generating intermediate data. In the embodiment of the present invention, choosing to import transaction records into the database for comparison has the advantage of being able to make full use of many existing functions provided by the database, such as sorting according to each field, using the transactional functions of the database, and convenient SQL query functions, etc., and the implementation is simple, which can save a lot of development time.

Referring to FIG. 2 , it shows a flow chart of steps of a part of a method embodiment of a data consistency check between multiple platforms according to an embodiment 2 of the present invention; on the basis of the above-mentioned embodiment 1 of the present invention, the The multi-platform may also include a first platform and a third platform communicating with each other; the method may also include the following steps:

Step S201, obtaining data record information of the third platform within a corresponding preset time period, extracting third characteristic parameter information from the data record information and writing it into the fifth information table; wherein, the third characteristic parameter information includes: The third platform data service identifier, the first platform data service identifier associated with the third platform data service identifier, the interactive data feature value, and the third data processing status identifier;

Step S203, extracting the third characteristic parameter information in the fifth information table one by one, and extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information;

Step S205, judging whether the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent; if they are consistent, then perform step S207; if they are not consistent, then perform step S209;

Step S207, updating the first data processing status identifier to the liquidation completion status, and updating the third data processing status identifier to the comparison completion status;

Step S209, updating the third data processing status flag to the clearing and comparison status, and extracting the corresponding first characteristic parameter information and third characteristic parameter information and writing them into the third information table.

In a preferred embodiment of the present invention, the third platform may be an e-commerce website platform; the data service identifier of the third platform may be the transaction order number of the e-commerce website platform; the characteristic value of the interactive data may be Transaction amount.

In a preferred embodiment of the present invention, the step S203 may include the following sub-steps:

Sub-step S21, extracting the first platform data service identifier associated with the third platform data service identifier in the third characteristic parameter information;

Sub-step S22, extracting corresponding first feature parameter information from the first information table according to the first platform data service identifier.

Optionally, the method may also include:

When the corresponding interaction data feature values in the first information table and the fifth information table are consistent, the corresponding first feature parameter information and/or third feature parameter information are extracted and written into the fourth information table.

Optionally, the third information table may also include error types; the method may also include:

When extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information fails, update the error type in the third information table to the error type of data search failure;

When the corresponding interaction data feature values in the fifth information table and the second information table are inconsistent, update the error type in the third information table to an error type of data inconsistency.

Optionally, the third information table may also include a processing type, and the processing type may include an unprocessed type and a processing completion type; the method may also include:

Traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

Since the comparison method of transaction records between the e-commerce website platform and the third-party payment platform, and the banking system platform and the third-party payment platform is basically similar to the method embodiment in Figure 1, the description is relatively simple. For relevant information, please refer to the method Part of the description of the examples will suffice.

For the method embodiment, for the sake of simple description, it is expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps Other sequences or concurrently may be used. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

Referring to FIG. 3 , it shows a structural block diagram of a system embodiment of a data consistency check between multiple platforms according to Embodiment 1 of the present invention. The multiple platforms may include a first platform and a second platform that communicate with each other. , the system may include the following modules:

The collection module 301 is configured to collect platform data interaction information of the first platform within a preset time period, extract first characteristic parameter information from the platform data interaction information and write it into the first information table; the characteristic parameter information includes : first platform data service identifier, interactive data feature value, and first data processing status identifier;

The acquisition module 303 is configured to acquire data record information of the second platform within a corresponding preset time period, extract second characteristic parameter information from the data record information, and write it into a second information table; wherein, the second characteristic parameter The information includes: the second platform data service identifier, the first platform data service identifier associated with the second platform data service identifier, the interactive data feature value, and the second data processing status identifier;

An extraction module 305, configured to extract the second characteristic parameter information in the second information table one by one, and extract the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information;

A judging module 307, configured to judge whether the corresponding interaction data characteristic values in the first characteristic parameter information and the second characteristic parameter information are consistent;

An updating module 309, configured to update the first data processing status flag to a liquidation completion status if the corresponding interaction data feature values in the first feature parameter information and the second feature parameter information are consistent, and update the second The data processing status indicator is updated to the comparison completion status;

And, if the corresponding interaction data characteristic values in the first characteristic parameter information and the second characteristic parameter information are inconsistent, update the second data processing state flag to the clearing comparison state, and extract the corresponding first characteristic parameter The information and the second feature parameter information are written into the third information table.

In a preferred embodiment of the present invention, the extraction module 305 may include:

An identifier extraction submodule, configured to extract the first platform data service identifier associated with the second platform data service identifier in the second characteristic parameter information;

The parameter search submodule is configured to extract corresponding first feature parameter information from the first information table according to the first platform data service identifier.

Optionally, the system may also include:

The update module 309 is also used to extract the corresponding first feature parameter information and second feature parameter information and write them into the fourth information table when the corresponding interaction data feature values in the first information table and the second information table are consistent. .

Optionally, the third information table may also include error types; the system may also include:

A type update module, configured to update the error type in the third information table to an error of data search failure when the corresponding first characteristic parameter information in the first information table fails to be extracted according to the second characteristic parameter information Types of;

And, the type updating module is further configured to update the error type in the third information table to an error type of data inconsistency when the corresponding interaction data feature values in the first information table and the second information table are inconsistent.

Optionally, the third information table may also include a processing type, and the processing type may include an unprocessed type and a processing completion type; the system may also include:

The traversal processing module is used to traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

As for the system embodiment in FIG. 3 , since it is basically similar to the method embodiment in FIG. 1 , the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.

Referring to FIG. 4 , it shows a structural block diagram of a part of Embodiment 2 of a system for checking data consistency between multiple platforms according to an embodiment of the present invention. On the basis of the above-mentioned Embodiment 3 of the present invention, the The multi-platform can also include the first platform and the third platform communicating with each other; the system can also include the following modules:

The obtaining module S401 is also used to obtain data record information of the third platform within a corresponding preset time period, extract third characteristic parameter information from the data record information, and write it into the fifth information table; wherein, the third The characteristic parameter information includes: the third platform data service identifier, the first platform data service identifier associated with the third platform data service identifier, the interactive data characteristic value, and the third data processing status identifier;

The extracting module S403 is further configured to extract third characteristic parameter information in the fifth information table one by one, and extract corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information;

The judging module S405 is also used to judge whether the corresponding interaction data characteristic values in the first characteristic parameter information and the third characteristic parameter information are consistent;

The update module S407 is configured to update the first data processing status flag to a liquidation completion status if the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent, and set the The third data processing status flag is updated to the comparison completion status;

The update module S407 is further configured to update the third data processing status flag to the clearing comparison status if the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are inconsistent, and extract The corresponding first feature parameter information and/or third feature parameter information is written into the third information table.

In a preferred embodiment of the present invention, the extraction module S403 may include:

The identifier extraction submodule is also used to extract the first platform data service identifier associated with the third platform data service identifier in the third characteristic parameter information;

The parameter extraction sub-module is further configured to extract corresponding first characteristic parameter information in the first information table according to the first platform data service identifier.

Optionally, the system may also include:

The update module S407 is further configured to extract the corresponding first feature parameter information and/or third feature parameter information and write it into the fourth Information Sheet.

Optionally, the third information table may also include error types; the system may also include:

The type update module is further configured to update the error type in the third information table to data lookup failure when the corresponding first characteristic parameter information in the first information table fails to be extracted according to the third characteristic parameter information the type of error;

And, the type updating module is further configured to update the error type in the third information table to an error type of data inconsistency when the corresponding interactive data feature values in the fifth information table and the second information table are inconsistent.

Optionally, the third information table may also include a processing type, and the processing type may include an unprocessed type and a processing completion type; the system may also include:

The traversal processing module is also used to traverse the third information table to process the data records whose processing type is unprocessed one by one, and update the data processing type to the processing completed type after the processing is completed.

As for the system embodiment in FIG. 4 , since it is basically similar to the method embodiment in FIG. 2 , the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other device. Various generic systems can also be used with the teachings based on this. The structure required to construct such a system is apparent from the above description. Furthermore, the present invention is not specific to any particular programming language. It should be understood that various programming languages can be used to implement the content of the present invention described herein, and the above description of specific languages is for disclosing the best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, in order to streamline this disclosure and to facilitate an understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together in a single embodiment, figure, or its description. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the components in the multi-platform data consistency check device according to the embodiment of the present invention. Or full functionality. The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

The embodiment of the present invention discloses A1, a method for checking data consistency between multiple platforms, the multiple platforms include a first platform and a second platform that communicate with each other, and the method includes: collecting the first platform in For the platform data interaction information within a preset time period, the first feature parameter information is extracted from the platform data interaction information and written into the first information table; the feature parameter information includes: the first platform data service identifier, the interaction data feature Value, and, the first data processing state identifier; obtain the data recording information of the second platform in the corresponding preset time period, extract the second characteristic parameter information from the data recording information and write it into the second information table; wherein, the The second characteristic parameter information includes: the second platform data service identifier, the first platform data service identifier associated with the second platform data service identifier, the interactive data characteristic value, and the second data processing status identifier; The second feature parameter information in the second information table, extracting the corresponding first feature parameter information in the first information table according to the second feature parameter information; judging the first feature parameter information and the second feature parameter information Whether the corresponding interactive data feature values are consistent; if they are consistent, update the first data processing status identifier to a clearing completion status, and update the second data processing status identifier to a comparison completion status; if not, update all The second data processing state flag is updated to the liquidation and comparison state, and the corresponding first characteristic parameter information and/or second characteristic parameter information are extracted and written into the third information table. A2. The method as described in A1, the step of extracting the corresponding first characteristic parameter information in the first information table according to the second characteristic parameter information includes: extracting the second platform in the second characteristic parameter information A first platform data service identifier associated with the data service identifier; extracting corresponding first characteristic parameter information in the first information table according to the first platform data service identifier. A3. The method according to A1, further comprising: extracting the corresponding first characteristic parameter information and/or second characteristic parameter information when the corresponding interaction data characteristic values in the first information table and the second information table are consistent Write the fourth information table. A4. The method as described in A1, the third information table also includes error types; the method further includes: extracting the corresponding first characteristic parameter in the first information table according to the second characteristic parameter information When the information fails, update the error type in the third information table to the error type of data search failure; when the corresponding interactive data feature values in the first information table and the second information table are inconsistent, update the third information table The error type in the information table is the error type of data inconsistency. A5. The method as described in A1, the third information table also includes a processing type, and the processing type includes an unprocessed type and a processing completion type; the method also includes: traversing the third information table for the processing type to be The unprocessed data records are processed one by one, and the data processing type is updated to the processing completion type after the processing is completed. A6. The method as described in A1, the multi-platform also includes the first platform and the third platform communicating with each other; the method also includes: acquiring the data record information of the third platform in the corresponding preset time period, from the The third feature parameter information is extracted from the data record information and written into the fifth information table; wherein, the third feature parameter information includes: the third platform data service identifier, the first platform data associated with the third platform data service identifier Business identifier, interactive data characteristic value, and third data processing status identifier; extract the third characteristic parameter information in the fifth information table one by one, and extract the corresponding information in the first information table according to the third characteristic parameter information The first feature parameter information; judging whether the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent; if they are consistent, updating the first data processing status flag to the liquidation completion status, and The third data processing state identification is updated to the comparison completion state; if inconsistent, the third data processing state identification is updated to the liquidation comparison state, and the corresponding first feature parameter information and/or third feature are extracted The parameter information is written into the third information table. A7. The method as described in A6, the step of extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information includes: extracting the third platform in the third characteristic parameter information A first platform data service identifier associated with the data service identifier; extracting corresponding first characteristic parameter information in the first information table according to the first platform data service identifier. A8. The method described in A1 or A6, further comprising: extracting the corresponding first feature parameter information and/or third feature when the corresponding interaction data feature values in the first information table and the third information table are consistent The parameter information is written into the fourth information table. A9. The method as described in A4 or A6, further comprising: when extracting the corresponding first characteristic parameter information in the first information table according to the third characteristic parameter information fails, updating the information in the third information table The error type is an error type of data search failure; when the corresponding interactive data feature values in the fifth information table and the second information table are inconsistent, update the error type in the third information table to an error type of data inconsistency. A10. The method described in A1 or A5 or A7, further comprising: traversing the third information table to process the data records whose processing type is unprocessed one by one, and updating the data processing type to the processing completed type after the processing is completed. A11, the method as described in A1, the first platform is a third-party payment platform, the second platform is a banking system platform, and the third platform is an e-commerce website platform; the data service identifier of the first platform is The transaction order number of the third-party payment platform; the second platform data service identification is the transaction order number of the banking system platform; the third platform data service identification is the transaction order number of the e-commerce website platform; the interactive data feature value is the transaction amount.

The embodiment of the present invention also discloses B12, a system for checking data consistency between multiple platforms, the multiple platforms include a first platform and a second platform that communicate with each other, and the system includes: a collection module, It is used to collect the platform data interaction information of the first platform within a preset time period, extract the first characteristic parameter information from the platform data interaction information and write it into the first information table; the characteristic parameter information includes: the first platform Data service identifier, interactive data feature value, and first data processing status identifier; an acquisition module, configured to acquire data record information of the second platform within a corresponding preset time period, and extract the second feature from the data record information The parameter information is written into the second information table; wherein, the second characteristic parameter information includes: the second platform data service identifier, the first platform data service identifier associated with the second platform data service identifier, the interactive data characteristic value, and , the second data processing status identifier; the extraction module is used to extract the second characteristic parameter information in the second information table one by one, and extract the corresponding first characteristic parameter in the first information table according to the second characteristic parameter information information; a judging module, used to judge whether the corresponding interaction data feature values in the first feature parameter information and the second feature parameter information are consistent; an update module, used to determine if the first feature parameter information and the second feature parameter information If the corresponding interactive data feature values in the above are consistent, update the first data processing status flag to the liquidation completion status, and update the second data processing status logo to the comparison completion status; and, if the first feature parameter information is inconsistent with the corresponding interactive data characteristic values in the second characteristic parameter information, update the second data processing status flag to the clearing comparison status, and extract the corresponding first characteristic parameter information and/or second characteristic parameter information Write the third information table. B13, the system as described in B12, the extraction module includes: an identification extraction sub-module for extracting the first platform data service identification associated with the second platform data service identification in the second characteristic parameter information; parameter search A submodule, configured to extract corresponding first feature parameter information from the first information table according to the first platform data service identifier. B14. The system according to B12, wherein the update module is further configured to extract the corresponding first feature parameter information and/or when the corresponding interaction data feature values in the first information table and the second information table are consistent Or the second feature parameter information is written into the fourth information table. B15. The system as described in B12, the third information table also includes error types; the system also includes: a type update module, used to extract the first information table according to the second characteristic parameter information When the corresponding first feature parameter information fails, update the error type in the third information table to the error type of data search failure; When the corresponding interaction data feature values in the table are inconsistent, update the error type in the third information table to the error type of data inconsistency. B16, the system as described in B12, the third information table also includes processing types, and the processing types include unprocessed types and processing completion types; the system also includes: the traversal processing module is also used to traverse the The third information table processes the data records whose processing type is unprocessed one by one, and updates the data processing type to the processing completed type after the processing is completed. B17, the system as described in B12, the multi-platform also includes the first platform and the third platform that communicate with each other; the system also includes: the acquisition module is also used to acquire the third platform in the corresponding preset time period The data record information in the data record information, the third characteristic parameter information is extracted from the data record information and written into the fifth information table; wherein, the third characteristic parameter information includes: the third platform data service identifier, the third platform data The first platform data service identifier associated with the service identifier, the characteristic value of the interactive data, and the third data processing status identifier; the extraction module is also used to extract the third characteristic parameter information in the fifth information table one by one, according to the The third characteristic parameter information extracts the corresponding first characteristic parameter information in the first information table; the judging module is also used to judge whether the corresponding interactive data characteristic values in the first characteristic parameter information and the third characteristic parameter information are consistent; The update module is further configured to update the first data processing status flag to a liquidation completion status if the corresponding interaction data feature values in the first feature parameter information and the third feature parameter information are consistent, and update the second The third data processing state flag is updated to the comparison completion state; the update module is also used to process the third data if the corresponding interactive data feature values in the first feature parameter information and the third feature parameter information are inconsistent The status identification is updated to the liquidation comparison status, and the corresponding first characteristic parameter information and/or third characteristic parameter information are extracted and written into the third information table. B18. The system as described in B17, the extraction module includes: the identification extraction sub-module is also used to extract the first platform data service identification associated with the third platform data service identification in the third characteristic parameter information; The parameter extraction sub-module is further configured to extract corresponding first characteristic parameter information in the first information table according to the first platform data service identifier. B19. The system as described in B12 or B17, wherein the update module is also used to extract the corresponding first feature parameter information when the corresponding interaction data feature values in the first information table and the fifth information table are consistent And/or the third characteristic parameter information is written into the fourth information table. B20. The system as described in B15 or B17, further comprising: the type updating module is further configured to update The error type in the third information table is an error type of data search failure; and, the type updating module is further configured to, when the corresponding interaction data feature values in the fifth information table and the second information table are inconsistent, Updating the error type in the third information table to the error type of data inconsistency. B21, the system as described in B12 or B16 or B18, also includes: the traversal processing module is also used to traverse the third information table to process the unprocessed data records one by one, and update the data processing after the processing is completed Type is the processing completion type.

Claims (21)

1. between multi-platform, a method for consistency verification of data, communicates described multi-platform including mutually First platform of letter and the second platform, described method includes:

Collect first platform platform data interactive information in preset time period, from described platform number According to interactive information being extracted fisrt feature parameter information and writing first information table；Described characteristic parameter Information includes: the first platform data service identification, interaction data character numerical value, and, the first number According to processing status indicator；

Obtain second platform datalogging information in corresponding preset time period, remember from described data Record information is extracted second feature parameter information and writes the second information table；Wherein, described second feature Parameter information includes: the second platform data service identification, and described second platform data service identification closes First platform data service identification of connection, interaction data character numerical value, and, the second data process Status indicator；

Extract second feature parameter information in described second information table one by one, according to described second feature Parameter information extracts fisrt feature parameter information corresponding in described first information table；

Judge interaction data corresponding in described fisrt feature parameter information and second feature parameter information Character numerical value is the most consistent；

If consistent, then it is updated to clear completion status by described first data processing state mark, will Described second data processing state mark is updated to comparison completion status；

If inconsistent, then it is updated to clear comparison state by described second data processing state mark, And extract fisrt feature parameter information and/or second feature parameter information write the 3rd information of correspondence Table.

2. the method for claim 1, described described according to the extraction of second feature parameter information The step of fisrt feature parameter information corresponding in first information table includes:

Extract described in described second feature parameter information the of the second platform data service identification association One platform data service identification；

In described first information table, the of correspondence is extracted according to described first platform data service identification One characteristic parameter information.

3. the method for claim 1, also includes:

Interaction data character numerical value corresponding in described first information table and the second information table is consistent Time, extract corresponding fisrt feature parameter information and/or second feature parameter information write the 4th information Table.

4. the method for claim 1, also includes type of error in described 3rd information table； Described method also includes:

The first spy corresponding in described first information table is being extracted according to described second feature parameter information When levying parameter information failure, updating the type of error in described 3rd information table is data search failure Type of error；

Interaction data character numerical value corresponding in described first information table and the second information table is inconsistent Time, updating the type of error in described 3rd information table is the inconsistent type of errors of data.

5. the method for claim 1, described 3rd information table also includes processing type, institute State process type and include that untreated type and process complete type；Described method also includes:

Traveling through described 3rd information table to processing type is that untreated data record processes one by one, at place Updating data processing type after having managed is that process completes type.

6. the method for claim 1, described multi-platform also includes intercommunication the first platform With the 3rd platform；Described method also includes:

Obtain the 3rd platform datalogging information in corresponding preset time period, remember from described data Record information is extracted third feature parameter information write the 5th information table；Wherein, described third feature Parameter information includes: the 3rd platform data service identification, and described 3rd platform data service identification closes First platform data service identification of connection, interaction data character numerical value, and, the 3rd data process Status indicator；

Extract third feature parameter information in described 5th information table one by one, according to described third feature Parameter information extracts fisrt feature parameter information corresponding in described first information table；

Judge interaction data corresponding in described fisrt feature parameter information and third feature parameter information Character numerical value is the most consistent；

If consistent, then it is updated to clear completion status by described first data processing state mark, will Described 3rd data processing state mark is updated to comparison completion status；

If inconsistent, then it is updated to clear comparison state by described 3rd data processing state mark, And extract fisrt feature parameter information and/or third feature parameter information write the 3rd information of correspondence Table.

7. method as claimed in claim 6, described described according to the extraction of third feature parameter information The step of fisrt feature parameter information corresponding in first information table includes:

Extract described in described third feature parameter information the of the 3rd platform data service identification association One platform data service identification；

In described first information table, the of correspondence is extracted according to described first platform data service identification One characteristic parameter information.

8. the method as described in claim 1 or 6, also includes:

Interaction data character numerical value corresponding in described first information table and the 3rd information table is consistent Time, extract corresponding fisrt feature parameter information and/or third feature parameter information write the 4th information Table.

9. method as claimed in claim 6, also includes:

The first spy corresponding in described first information table is being extracted according to described third feature parameter information When levying parameter information failure, updating the type of error in described 3rd information table is data search failure Type of error；

Interaction data character numerical value corresponding in described 5th information table and the second information table is inconsistent Time, updating the type of error in described 3rd information table is the inconsistent type of errors of data.

10. method as claimed in claim 7, described 3rd information table also includes processing type, Described process type includes that untreated type and process complete type；Described method also includes:

Traveling through described 3rd information table to processing type is that untreated data record processes one by one, at place Updating data processing type after having managed is that process completes type.

11. methods as claimed in claim 6, described first platform is Third-party payment platform, Described second platform is banking system platform, and described 3rd platform is electronic commerce Website platform；Institute State the transaction odd numbers that the first platform data service identification is Third-party payment platform；Described second platform Data service is designated the transaction odd numbers of banking system platform；Described 3rd platform data service identification Transaction odd numbers for electronic commerce Website platform；Described interaction data character numerical value is dealing money.

12. 1 kinds multi-platform between the system of consistency verification of data, described multi-platform include mutually First platform of communication and the second platform, described system includes:

Collection module, for collecting first platform platform data interactive information in preset time period, From described platform data interactive information, extract fisrt feature parameter information and write first information table； Described characteristic parameter information includes: the first platform data service identification, interaction data character numerical value, And, the first data processing state mark；

Acquisition module, for obtaining second platform datalogging information in corresponding preset time period, From described datalogging information, extract second feature parameter information write the second information table；Wherein, Described second feature parameter information includes: the second platform data service identification, described second platform number The the first platform data service identification associated according to service identification, interaction data character numerical value, and, Second data processing state mark；

Extraction module, for extracting second feature parameter information in described second information table one by one, depends on Fisrt feature parameter letter corresponding in described first information table is extracted according to described second feature parameter information Breath；

Judge module, is used for judging in described fisrt feature parameter information and second feature parameter information Corresponding interaction data character numerical value is the most consistent；

More new module, if right in described fisrt feature parameter information and second feature parameter information The interaction data character numerical value answered is consistent, then be updated to clear by described first data processing state mark Calculate completion status, described second data processing state mark is updated to comparison completion status；

And, if corresponding mutual in described fisrt feature parameter information and second feature parameter information Data characteristics numerical value is inconsistent, then be updated to clear comparison by described second data processing state mark State, and extract fisrt feature parameter information and/or the second feature parameter information write the 3rd of correspondence Information table.

13. systems as claimed in claim 12, described extraction module includes:

Marker extraction submodule, is used for extracting the second platform described in described second feature parameter information First platform data service identification of data service mark association；

Parameter searches submodule, is used for according to described first platform data service identification described first Information table extracts the fisrt feature parameter information of correspondence.

14. systems as claimed in claim 12, wherein,

Described more new module is additionally operable in described first information table and the second information table the mutual of correspondence When data characteristics numerical value is consistent, extract corresponding fisrt feature parameter information and/or second feature parameter Information write the 4th information table.

15. systems as claimed in claim 12, also include type of error in described 3rd information table； Described system also includes:

Type more new module, for extracting described first letter according to described second feature parameter information When ceasing fisrt feature parameter information failure corresponding in table, update the mistake in described 3rd information table Type is the type of error that data search is failed；

And, described type more new module is additionally operable in described first information table and the second information table When corresponding interaction data character numerical value is inconsistent, update the type of error in described 3rd information table For the type of error that data are inconsistent.

16. systems as claimed in claim 12, described 3rd information table also includes processing type, Described process type includes that untreated type and process complete type；Described system also includes:

Traversal processing module, being used for traveling through described 3rd information table to processing type is untreated data Record processes one by one, and updating data processing type after processing is completed is that process completes type.

17. systems as claimed in claim 12, described multi-platform also include the first of intercommunication Platform and the 3rd platform；Described system also includes:

Described acquisition module is additionally operable to the data record obtaining the 3rd platform in corresponding preset time period Information, extracts third feature parameter information write the 5th information table from described datalogging information； Wherein, described third feature parameter information includes: the 3rd platform data service identification, the described 3rd First platform data service identification of platform data service identification association, interaction data character numerical value, And, the 3rd data processing state mark；

Described extraction module is additionally operable to extract one by one third feature parameter letter in described 5th information table Breath, extracts fisrt feature corresponding in described first information table according to described third feature parameter information Parameter information；

Judge module is additionally operable to judge in described fisrt feature parameter information and third feature parameter information Corresponding interaction data character numerical value is the most consistent；

If described more new module is additionally operable to described fisrt feature parameter information and third feature parameter information The interaction data character numerical value of middle correspondence is consistent, then described first data processing state mark updated For clearance completion status, described 3rd data processing state mark is updated to comparison completion status；

If described more new module is additionally operable to described fisrt feature parameter information and third feature parameter information The interaction data character numerical value of middle correspondence is inconsistent, then identified more by described 3rd data processing state New for clearing comparison state, and extract fisrt feature parameter information and/or the third feature parameter of correspondence Information write the 3rd information table.

18. systems as claimed in claim 17, described extraction module includes:

Described marker extraction submodule is additionally operable to extract described in described third feature parameter information the 3rd First platform data service identification of platform data service identification association；

Described parameter extraction submodule is additionally operable to according to described first platform data service identification described First information table extracts the fisrt feature parameter information of correspondence.

19. systems as described in claim 12 or 17, wherein,

Described more new module is additionally operable in described first information table and the 5th information table the mutual of correspondence When data characteristics numerical value is consistent, extract corresponding fisrt feature parameter information and/or third feature parameter Information write the 4th information table.

20. systems as claimed in claim 17, also include:

Type more new module, for extracting described first letter according to described third feature parameter information When ceasing fisrt feature parameter information failure corresponding in table, update the mistake in described 3rd information table Type is the type of error that data search is failed；

And, described type more new module is additionally operable in described 5th information table and the second information table When corresponding interaction data character numerical value is inconsistent, update the type of error in described 3rd information table For the type of error that data are inconsistent.

21. systems as claimed in claim 18, described 3rd information table also includes processing type, Described process type includes that untreated type and process complete type；Described system also includes:

Traversal processing module, being used for traveling through described 3rd information table to processing type is untreated data Record processes one by one, and updating data processing type after processing is completed is that process completes type.