CN111221777B - Data record matching method and device - Google Patents
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Abstract
The application discloses a data record matching method and device, wherein the method comprises the following steps: and comparing data record results of the acquisition files generated under different host system architectures to obtain data record differences, selecting standard acquisition files, and adjusting generation rules of the acquisition files in different host system architectures according to the data record differences and the data record results of the standard acquisition files. Therefore, the generation rule of the acquisition file with the unmatched standard acquisition file data records can be adjusted, so that the generation rules of the acquisition files under different host system architectures are consistent, the generated data of the acquisition files can be matched with each other, other systems at the downstream can use the acquisition files conveniently, the applicability of the acquisition files and the data in the acquisition files is improved, and the problem that the acquisition files in the prior art are unmatched due to the fact that the acquisition files are generated under different architectures is solved.
Description
Technical Field
The present disclosure relates to the field of data processing, and in particular, to a method and apparatus for matching data records.
Background
With the rapid development of computer technology, the host system architecture of computers is also continuously updated to adapt to the needs of computer processing. The format and specification of the corresponding files are not the same for different host system architectures. The file format is not the same in a system with a host system architecture X86 as in other host system architectures for data acquisition files. Therefore, under different host system architectures, because the generation of the collection files lacks the same rule, even if the same data is collected, the obtained collection files are not the same, and the data records in the collection files are not matched. The method is characterized in that the data records in the acquisition files generated by different host system architectures are effective, and the data records in the acquisition files generated by different host system architectures can be used by the related systems.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a data record matching method and device, which can enable data records in acquisition files generated by different host system architectures to be matched by adjusting generation rules of the acquisition files, and solve the problems that the data records in the acquisition files generated by different host system architectures in the prior art are not matched, and related systems cannot normally use the acquisition files.
The embodiment of the application discloses the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for matching data records, including:
acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data;
respectively acquiring data record results in the acquisition files generated under different host system architectures; comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures;
and selecting a standard acquisition file from the acquisition files, and adjusting the generation rules of the acquisition files in different host system architectures according to the data record difference and the data record result of the standard acquisition file, so that the data of the acquisition files in the different host system architectures are matched with the data record in the standard acquisition file.
Optionally, the obtaining the data record results in the collection file respectively includes:
and respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures, and acquiring the data record results in the acquisition files generated under different host system architectures according to the selected data records.
Optionally, the data record result has a data record number and/or a data type.
Optionally, when the data recording result has a data recording number, the data recording difference has a recording number difference;
the method for adjusting the generation rule of the collected files in different host system architectures according to the data record difference and the data record result of the standard collected files specifically comprises the following steps:
and adjusting the data acquisition rules of the acquired files in different host system architectures according to the difference of the recorded quantity and the data recording result of the standard acquired files.
Optionally, when the data record result has a data type, the data record difference has a data type difference;
the method for adjusting the generation rule of the collected files in different host system architectures according to the data record difference and the data record result of the standard collected files specifically comprises the following steps:
and adjusting data classification rules of the collected files in different host system architectures according to the data type differences and the data record results of the standard collected files.
Optionally, when the data record result has a data type, the comparing the data record result to obtain the data record difference of the collection file generated under different host system architectures specifically includes:
and sequencing the data types in the data recording result according to a preset sequence, and sequentially comparing the data in the sequenced data types to obtain the data type differences of the acquisition files generated under different host system architectures.
Optionally, when the data record result has a data type, the comparing the data record result to obtain the data record difference of the collection file generated under different host system architectures specifically includes:
and comparing the data in the comparison data types to obtain the data type differences of the acquisition files generated under different host system architectures.
Optionally, the method further comprises:
acquiring a preset file format according to the file type of the acquired file, and judging whether the file format of the acquired file generated under different host system architectures accords with the preset file format; and if not, correcting the file format of the acquired file.
In a second aspect, an embodiment of the present application provides a matching apparatus for data records, including:
the acquisition unit is used for acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data;
the comparison unit is used for respectively acquiring data record results in the acquisition files generated under different host system architectures; comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures;
and the adjusting unit is used for selecting a standard acquisition file from the acquisition files, and adjusting the generation rules of the acquisition files in different host system architectures according to the data record difference and the standard acquisition file so that the data of the acquisition files in the different host system architectures are matched with the data records in the standard acquisition file.
Optionally, the apparatus further includes:
and the sampling unit is used for respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures and acquiring the data record results in the acquisition files generated under different host system architectures according to the selected data records.
Compared with the prior art, the application has the following beneficial effects:
in the method provided by the embodiment of the application, the data record difference is obtained by comparing the data record results of the acquisition files generated under different host system architectures, the standard acquisition files are selected, and the generation rules of the acquisition files in different host system architectures are adjusted according to the data record difference and the data record results of the standard acquisition files. Therefore, the generation rule of the acquisition file with the unmatched standard acquisition file data records can be adjusted, so that the generation rule of the acquisition file under different host system architectures is consistent, the data records of the generated acquisition file can be matched with each other, other systems at the downstream can use the acquisition file conveniently, the applicability of the acquisition file and the data in the acquisition file is improved, and the problem that the acquisition file in the prior art is unmatched due to the fact that the acquisition file is generated under different architectures is solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a data record matching method provided in an embodiment of the present application;
FIG. 2 is a flowchart of another method for matching data records according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a matching device for data records according to an embodiment of the present application.
Detailed Description
As previously described, files generated by different kinds of host system architectures may differ in format and specification. For the data collection files, because the generation rules of the collection files in different host system architectures are different, the data in the collection files generated under different host system architectures are not matched, and the data collection rules, the data recording rules and the like of the collection files may be different. The collected files generated under different host system architectures are sent to other related systems at the downstream, and the related systems can process the data in the collected files to realize other functions, but the related systems have difficulty in respectively processing the data of the collected files generated under different host system architectures.
The inventors have found that even if data is collected from the same database, the collection files generated by different host system architectures are different due to different collection rules. However, since the data are collected from the same database, the difference of the rules of the data collected by different host system architectures can be judged according to the finally generated collection file. And adjusting the acquisition file generation rules of different hosts to obtain the matched acquisition files of the data records in the files.
The inventors have found through research that it is possible to acquire data record results of acquisition files generated by different host system architectures for the same data, and compare the acquired data record results. Because the acquisition files are generated based on the same data, different recording results of the acquisition files are caused by the acquisition rules of the acquisition files. The data record difference can be obtained by comparing the record results, and the collection rules of the collection files in different systems can be modified according to the data record difference. Thus, a unified data acquisition file can be obtained, the data records in the acquisition files generated under different host system architectures are matched with each other, and other systems can normally use the acquisition files generated by different host system architectures.
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
First embodiment
Referring to fig. 1, the flowchart of a data record matching method is provided in an embodiment of the present application.
In the embodiment of the present application, the method may be implemented, for example, by the following steps S101 to S103.
S101: acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data.
It should be noted that, the host system architecture in the embodiment of the present application refers to an instruction set architecture of a computer host, and the embodiment of the present application is not limited to a specific type of host system architecture and the number of different host system architectures, and may be selected according to the actual adjustment requirement, and in one possible implementation, there may be an X86 architecture in different host system architectures.
It should be noted that, in the embodiment of the present application, the type and form of the collection file are not limited, and in one possible implementation manner, the collection file may be a table file. It can be appreciated that the collection files are various, and the embodiments of the present application are not limited to the variety of collection files. However, the collection files generated under different host system architectures for matching data should be the same collection file.
It may be understood that, the acquisition file in the embodiment of the present application is a data acquisition file, which may be embodied by a table file, and may be formed by a table header, a table tail, and a fixed format of a record data portion, where each line of data of the record data portion is directed to the same record object, and each column is one type of data for the record object. One or more data of the same record object may be referred to as a record, and the type represented by the different data may be referred to as a field. For example, the database has various information of users, and the data record in the data collection file may be the name, age and mobile phone number of each user. The name data, age data and mobile phone number data of a user form a record, and the 'name', 'age', 'mobile phone number' are the types of data, namely columns.
The number of acquired acquisition files in the embodiment of the present application may be two or more, and the same host system architecture may correspond to one or more acquisition files.
It is understood that the same data in the embodiments of the present application may be data in the same database.
S102: respectively acquiring data record results in the acquisition files generated under different host system architectures; and comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures.
It should be noted that, in the embodiment of the present application, the content included in the data recording result is not limited, and may be set according to a specific setting of the collection file, which may be the number of data records in the collection file, or may be the type of data.
It can be understood that, in the embodiment of the present application, the data recording results may be first sorted by sorting the data recording results in different collected files, and then compared according to the sorted results. For example, according to all the data recorded in the first collection file, 100 data records in the first collection file can be sorted, the types of the recorded data are 3, namely, the name, the age and the mobile phone number, respectively, and the types of the recorded data in the second collection file are 50, and the types of the recorded data are 4, namely, the name, the age, the mobile phone number and the account balance, respectively, and the recorded data are compared according to the sorted results.
In one possible implementation manner, the specific expression form of the data recording result is not limited, and may be the data recording part in the collected file directly or may be the data recording result generated after the recorded data is consolidated.
It will be appreciated that the data record differences may be saved in text form, the data record differences corresponding to the compared data record results. The data record difference has a record number difference when the data record result has a data record number, and has a data type difference when the data record result has a data type.
It should be noted that the comparison manner is not limited in the embodiment of the present application, and in one possible implementation manner, the comparison may be performed two by two.
S103: and selecting a standard acquisition file from the acquisition files, and adjusting the generation rules of the acquisition files in different host system architectures according to the data record difference and the data record result of the standard acquisition file, so that the data of the acquisition files in the different host system architectures are matched with the data record in the standard acquisition file.
It should be noted that, in the embodiment of the present application, the host system architecture to which the standard acquisition file belongs is not limited, and may be selected according to actual needs. The selection of the standard acquisition file may be performed prior to the comparison or after the data record differences are generated.
It will be appreciated that the generation rules of the acquisition file are host system architecture dependent.
It may be understood that the adjustment generating rule in the embodiment of the present application may modify a specific instruction for generating the acquisition file, or may modify a part of parameters in the generation rule of the acquisition file, and the embodiment of the present application is not limited to a specific adjustment manner, and may be determined according to a specific generation rule of the acquisition file and a data recording result.
As can be seen from the above, according to the data record matching method provided by the embodiment of the application, the data record difference is obtained by comparing the data record results of the acquisition files generated under different host system architectures, and the generation rule of the acquisition files is adjusted according to the data record difference and the selected standard acquisition files, so that the acquisition files with matched data records can be obtained. The method solves the problem that the data records are not matched due to the fact that the acquisition files are generated under different architectures in the prior art.
Second embodiment
In the first embodiment, the recording result difference is obtained by comparing the data recording results in the acquisition files, and the generation rules of the acquisition files under different host system architectures are adjusted according to the recording result difference and the selection standard acquisition files. However, there may be a large number of data records in the actually generated acquisition files, which is slow and affects the computing power if all the data records in each acquisition file are compared.
In view of the foregoing, another method for matching data records is provided in the present application, and fig. 2 is a flowchart of another method for matching data records provided in an embodiment of the present application.
This embodiment is described in detail below, and in this embodiment, the method may be implemented by, for example, the following steps S201 to S204.
S201: acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data.
S202: respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures, and acquiring data record results in the acquisition files generated under different host system architectures according to the selected data records; wherein the data record result has the number of data records and/or the data type; and comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures.
It should be noted that, in the embodiment of the present application, the manner of selecting the data record is not limited, and in a possible implementation manner, the data record may be selected by sampling, or may be extracted by classification according to the type of the data record.
It is understood that the data record result in the embodiment of the present application may be one or both of the number of data records and the data type.
It should be noted that, when the data recording result is a data type, the data types in the data recording result may be sorted according to a preset arrangement sequence, and the data in the sorted data types may be sequentially compared to obtain the data type differences of the acquisition files generated under different host system architectures. Since the multiple orders of the data types recorded in different acquisition files are not consistent, the data types can be ordered and compared in order. In one possible implementation, the order of the data types in the collected files may be sorted by bubbling ordering and then compared.
It should be noted that, when the data record result is a data type, a preset comparison data type can be selected from the data types in the data record result, and the data in the comparison data type is compared to obtain the data type difference of the acquisition files generated under different host system architectures. The preset comparison data types can be set according to the data acquisition requirement, and the required data types can be selected from the data types of the acquired files for comparison.
It will be appreciated that in one possible implementation the individual data types may be separated by a special separator.
S203: and selecting a standard acquisition file from the acquisition files, and adjusting the generation rules of the acquisition files in different host system architectures according to the data record difference and the data record result of the standard acquisition file, so that the data of the acquisition files in the different host system architectures are matched with the data record in the standard acquisition file.
It will be appreciated that the rules for generating the collection file are related to the host system architecture, and that the rules for different kinds of collection files are also different.
In one possible implementation manner, when the data record result has the number of data records, the data record difference has the number of records difference, and the data collection rule of the collection file in different host system architectures is adjusted according to the number of records difference and the data record result of the standard collection file. In another possible implementation manner, when the data record result has a data type, the data record difference has a data type difference, and the data classification rule of the collected file in different host system architectures is adjusted according to the data type difference and the data record result of the standard collected file.
It can be appreciated that, in order to ensure that the acquisition files with the matched data records can be generated according to the adjusted acquisition file generation rule, the acquisition files generated after the adjustment of the generation rule can be compared again.
S204: acquiring a preset file format according to the file type of the acquired file, and judging whether the file format of the acquired file generated under different host system architectures accords with the preset file format; and if not, correcting the file format of the acquired file.
It can be appreciated that the file formats of the collection files of the same kind may not be consistent, and the file formats of the non-conforming collection files may be modified according to the preset file formats. The preset file format can be a file format which can be read and processed by other downstream systems. In one possible implementation manner, the modification method of the file format may be through conversion of the file format.
It should be noted that, the file format may include a file name, and names of other collected files may be renamed according to the name of the standard collected file.
In the embodiment of the application, the comparison of the data record results and the acquisition of the data record differences are performed by selecting part of the data records in the acquisition file, so that the operation pressure generated by the comparison of all the data records in the acquisition file is reduced, the calculation pressure of a computer can be correspondingly reduced, and the comparison results can be obtained quickly.
Third embodiment
Fig. 3 is a schematic structural diagram of a matching device for data records according to an embodiment of the present application.
Examples may include:
an acquiring unit 301, configured to acquire acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data;
the comparing unit 302 may be configured to obtain data record results in the acquisition files generated under different host system architectures respectively; comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures;
the adjusting unit 303 may be configured to select a standard collection file from the collection files, and adjust generation rules of the collection files in different host system architectures according to the data record difference and the standard collection file, so that data of the collection files in the different host system architectures are matched with data records in the standard collection file.
It will be appreciated that the apparatus may further comprise:
and the sampling unit is used for respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures and acquiring the data record results in the acquisition files generated under different host system architectures according to the selected data records.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points. The apparatus embodiments described above are merely illustrative, wherein the units and modules illustrated as separate components may or may not be physically separate. In addition, some or all of the units and modules can be selected according to actual needs to achieve the purpose of the embodiment scheme. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing is merely exemplary of the application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the application and are intended to be comprehended within the scope of the application.
Claims (7)
1. A method for matching data records, comprising:
acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data;
respectively acquiring data record results in the acquisition files generated under different host system architectures; the data record result has the number and the type of the data records;
comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures;
the comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures comprises the following steps:
sorting the sequence of the data types in the data recording results in a bubbling sorting mode, and sequentially comparing the data in the sorted data types to obtain the data type differences and the recording quantity differences of the acquisition files generated under different host system architectures;
selecting a standard acquisition file from the acquisition files, and adjusting generation rules of the acquisition files in different host system architectures according to the data record difference and the data record result of the standard acquisition file so that the data records of the acquisition files generated under the different host system architectures are matched with the data records in the standard acquisition file;
the adjusting the generation rule of the collected files in different host system architectures according to the data record difference and the data record result of the standard collected files comprises the following steps:
and adjusting data generation rules of the collected files in different host system architectures according to the data type difference, the record quantity difference and the data record result of the standard collected files.
2. The method according to claim 1, wherein the separately obtaining the data record results in the collection file includes:
and respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures, and acquiring the data record results in the acquisition files generated under different host system architectures according to the selected data records.
3. The method of claim 1, wherein when the data record result has a data type, the data record difference has a data type difference;
the method for adjusting the generation rule of the collected files in different host system architectures according to the data record difference and the data record result of the standard collected files specifically comprises the following steps:
and adjusting data classification rules of the collected files in different host system architectures according to the data type differences and the data record results of the standard collected files.
4. The method according to claim 1, wherein when the data record result has a data type, the comparing the data record result to obtain the data record difference of the collection file generated under different host system architectures specifically includes:
and comparing the data in the comparison data types to obtain the data type differences of the acquisition files generated under different host system architectures.
5. The method according to claim 1, wherein the method further comprises:
acquiring a preset file format according to the file type of the acquired file, and judging whether the file format of the acquired file generated under different host system architectures accords with the preset file format; and if not, correcting the file format of the acquired file.
6. A data record matching apparatus, comprising:
the acquisition unit is used for acquiring acquisition files generated under different host system architectures; the collection files are collection files with the same types of files generated by data collection aiming at the same data; the data record result has the number and the type of the data records;
the comparison unit is used for respectively acquiring data record results in the acquisition files generated under different host system architectures; comparing the data record results to obtain the data record differences of the acquisition files generated under different host system architectures;
the comparison unit is specifically configured to:
sorting the sequence of the data types in the data recording results in a bubbling sorting mode, and sequentially comparing the data in the sorted data types to obtain the data type differences and the recording quantity differences of the acquisition files generated under different host system architectures;
the adjusting unit is used for selecting a standard acquisition file from the acquisition files, and adjusting the generation rules of the acquisition files in different host system architectures according to the data record difference and the standard acquisition file so that the data of the acquisition files in the different host system architectures are matched with the data records in the standard acquisition file;
the adjusting unit is specifically configured to:
and adjusting data generation rules of the collected files in different host system architectures according to the data type difference, the record quantity difference and the data record result of the standard collected files.
7. The apparatus of claim 6, wherein the apparatus further comprises:
and the sampling unit is used for respectively selecting the same preset number of data records from the data records of the acquisition files generated under different host system architectures and acquiring the data record results in the acquisition files generated under different host system architectures according to the selected data records.
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