CN112486971B - Data cleaning method, apparatus and storage medium with correction function - Google Patents
Data cleaning method, apparatus and storage medium with correction function Download PDFInfo
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- CN112486971B CN112486971B CN202011441961.8A CN202011441961A CN112486971B CN 112486971 B CN112486971 B CN 112486971B CN 202011441961 A CN202011441961 A CN 202011441961A CN 112486971 B CN112486971 B CN 112486971B
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- 238000004140 cleaning Methods 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000006870 function Effects 0.000 claims description 22
- 238000004590 computer program Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 abstract description 6
- 230000006872 improvement Effects 0.000 description 7
- 230000008859 change Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Abstract
The invention discloses a data cleaning method, equipment and storage medium with a correction function, wherein the method comprises the following steps: according to a preset updating rule, updating each data table into a basic database by taking a corresponding primary key ID as an index; wherein, the preset updating rule comprises: after the data table to be updated is judged to be stored in the basic database according to the primary key ID, and the stored data table comprises a correction field, the correction field is covered on the field corresponding to the data table to be updated, and then the data table to be updated is stored in the basic database in a mode of covering the stored data table. Compared with the prior art, the data cleaning method with the correction function disclosed by the invention has the advantages that in the data cleaning process, the latest cleaning data and the corrected data are combined in a data combining mode, so that the updating of the latest cleaning data is ensured, and the correctness of the updated cleaning data is ensured.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data cleaning method, apparatus, and storage medium with a correction function.
Background
In the information big data age, it has become an indispensable thing to collect and process data of enterprises. At present, most of original data collected by a collection system (such as a crawler) are irregular data, and the format of the data cannot meet the basic requirements of data processing, so that the data is not beneficial to being displayed on a page in the later period.
Therefore, in the prior art, the original data is preprocessed to be converted into more regular data required by later work, so the data cleaning is to basically preprocess the original data, so that the original data accords with the standard form of page display.
However, when an error occurs in the original data collected by the collection system (for example, a certain legal person is limited to high consumption before but is subsequently cancelled by a court, the referee document is already in effect, but the online public document is slow, so that the data collected by the collection system is also the previous error data), how to correct the error data in the cleaning process, and the corrected data is not covered by the error data newly collected by the collection system is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a data cleaning method, device and storage medium with a correction function.
In order to achieve one of the above objects, an embodiment of the present invention provides a data cleansing method with a correction function, the method including:
after field cleaning is carried out on the data conforming to the preset cleaning rule, each piece of data is cleaned into a data table with a main key ID;
according to a preset updating rule, updating each data table into a basic database by taking a corresponding primary key ID as an index; wherein, the preset updating rule comprises:
after the data table to be updated is judged to be stored in the basic database according to the primary key ID, and the stored data table comprises a correction field, the correction field is covered on the field corresponding to the data table to be updated, and then the data table to be updated is stored in the basic database in a mode of covering the stored data table.
As a further improvement of an embodiment of the present invention, the preset updating rule further includes:
after the fact that the data table to be updated is stored in the basic database according to the primary key ID is judged, and the stored data table does not include a correction field, the data table to be updated is stored in the basic database in a mode of covering the stored data table.
As a further improvement of an embodiment of the present invention, the preset updating rule further includes:
and after judging that the data table to be updated is not stored in the basic database according to the primary key ID, storing the data table to be updated in the basic database by taking the corresponding primary key ID as an index.
As a further improvement of an embodiment of the present invention, the method further includes:
acquiring a primary key ID of a data table corresponding to the error data and a field number of the error data in the data table according to the error data fed back by the back end;
acquiring corresponding field content from the basic database according to the primary key ID and the field number, correcting and marking the corresponding field content to obtain a corrected field with a corrected mark;
acquiring other field contents of the data table corresponding to the primary key ID from the basic database according to the primary key ID and the field number, and merging with the correction field to obtain a merged data table;
and storing the merged data table into the basic database in a mode of covering an original data table.
As a further improvement of an embodiment of the present invention, the "field cleaning" includes:
and cleaning each field in each piece of data to enable the display form of each field to accord with the standard form of page display.
As a further improvement of an embodiment of the present invention, the method further includes:
acquiring data to be cleaned, and judging whether the data to be cleaned accords with a preset cleaning rule; the preset cleaning rule means that each piece of data comprises N designated fields, and N is a positive integer.
As a further improvement of an embodiment of the present invention, the method further includes:
service cleaning is carried out on the data in the basic database, and the data after service cleaning is updated to the service database;
and synchronizing the updated data in the service database to an online database in a log synchronization mode.
As a further improvement of an embodiment of the present invention, the "performing service cleaning on the data in the base database and updating the data after service cleaning to the service database" includes:
and acquiring a data table with an association relation with a specific service from the basic database, extracting a field with the association relation with the specific service from the data table, and storing the data table only comprising the field with the association relation into a service database of the corresponding service.
To achieve one of the above objects, an embodiment of the present invention provides an electronic device including a memory and a processor, where the memory stores a computer program executable on the processor, and the processor executes the program to implement the steps in the data cleaning method with correction function described in any one of the above.
To achieve one of the above objects, an embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the data cleansing method with correction function described in any one of the above.
Compared with the prior art, the data cleaning method with the correction function disclosed by the invention has the advantages that in the data cleaning process, the latest cleaning data and the corrected data are combined in a data combining mode, so that the updating of the latest cleaning data is ensured, and the correctness of the updated cleaning data is ensured.
Drawings
Fig. 1 is a flow chart of a data cleaning method with correction function according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to specific embodiments shown in the drawings. These embodiments are not intended to limit the invention and structural, methodological, or functional modifications of these embodiments that may be made by one of ordinary skill in the art are included within the scope of the invention.
The invention provides a data cleaning method with a correction function, which combines the latest cleaning data with the corrected data in a data combination mode in the data cleaning process, so that the latest cleaning data is updated, and the accuracy of the updated cleaning data is ensured.
As shown in fig. 1, the method includes:
step S110: after field cleaning is carried out on the data meeting the preset cleaning rules, each piece of data is cleaned into a data table with a main key ID.
The data conforming to the preset cleaning rule means that each piece of data to be cleaned includes specified N fields (N is a positive integer). The field is an independent unit in a piece of data, and may be a company name, a case number of a judicial case, a date of filing, a legal name, a legal status, and the like. The field cleaning refers to cleaning each field in each piece of data, so that the display form of each field accords with the standard form of page display.
When a piece of data is washed, the piece of data generates a data table with a unique primary key ID, wherein the data table comprises a plurality of fields, and each field has a field number.
It should be noted that, the primary key ID of the data table may be generated according to the unique field content in the data table (for example, the primary key ID of the data table according to the case number of the data table), and after the subsequent acquisition system acquires the data of the same case number (the data at this time is updated data), a data table with the same primary key ID may be generated, which indicates that the two data tables with the same primary key ID are the same data record.
In a preferred embodiment, the method further comprises:
acquiring data to be cleaned, and judging whether the data to be cleaned accords with a preset cleaning rule; the preset cleaning rule means that each piece of data comprises N designated fields, and N is a positive integer.
The original data to be cleaned may be acquired by an acquisition system (e.g., a crawler) and then a determination may be made as to whether each of the original data to be cleaned includes N fields. The acquisition system can acquire N fields in general. However, if the original data to be cleaned which does not accord with the preset cleaning rule exists, the data can be directly filtered out, or the fields are manually filled in, and then the fields to be cleaned after filling in are subjected to field cleaning.
Step S120: according to a preset updating rule, updating each data table into a basic database by taking a corresponding primary key ID as an index; wherein, the preset updating rule comprises:
after the data table to be updated is judged to be stored in the basic database according to the primary key ID, and the stored data table comprises a correction field, the correction field is covered on the field corresponding to the data table to be updated, and then the data table to be updated is stored in the basic database in a mode of covering the stored data table.
Since the correction of the data table stored in the database is performed on a field basis according to the error data, when the data table obtained after the field cleaning is to be updated into the basic database, it is required to determine whether the data table is stored in the basic database (determined according to the primary key ID), if the data table is stored in the basic database, it is also required to determine whether the stored data table contains a correction field (i.e., a field with a correction flag), if the correction field is contained, the correction field and the field to be updated are combined and then stored in the basic database, that is, the correction field covers the field corresponding to the data table to be updated, and then the data table to be updated is stored in the basic database in a manner of covering the stored data table.
Further, the preset updating rule further includes:
after the fact that the data table to be updated is stored in the basic database according to the primary key ID is judged, and the stored data table does not include a correction field, the data table to be updated is stored in the basic database in a mode of covering the stored data table.
Further, the preset updating rule further includes:
and after judging that the data table to be updated is not stored in the basic database according to the primary key ID, storing the data table to be updated in the basic database by taking the corresponding primary key ID as an index.
In a specific embodiment, whether the data table corresponding to the primary key ID is stored in the base database is judged according to the primary key ID (i.e., index) of the data table to be updated, and if not, the data table to be updated is stored in the base database by taking the corresponding primary key ID as the index. If so, judging whether the stored data table comprises a correction field (by judging whether the field in the stored data table has a correction mark) or not, and if not, storing the data table to be updated into the basic database in a mode of covering the stored data table; otherwise, after the correction field covers the field corresponding to the data table to be updated, the data table to be updated is stored in the basic database in a mode of covering the stored data table.
Specifically, the primary key ID of the data table list1 to be updated is 100, and includes fields a to F, the basic database is searched, the data table list0 stored with the primary key ID of 100 is found, the fields a to F of the data table list0 are searched one by one, and the field a is found to include a correction mark, i.e. the field a is a correction field. And combining the correction field A with other fields (fields B-F) of the data table list1 to be updated to obtain a combined data table list2 to be updated, and then storing the data table list2 into a basic database in a mode of covering list 0.
In a preferred embodiment, the method further comprises:
acquiring a primary key ID of a data table corresponding to the error data and a field number of the error data in the data table according to the error data fed back by the back end; acquiring corresponding field content from the basic database according to the primary key ID and the field number, correcting and marking the corresponding field content to obtain a corrected field with a corrected mark; acquiring other field contents of the data table corresponding to the primary key ID from the basic database according to the primary key ID and the field number, and merging with the correction field to obtain a merged data table; and storing the merged data table into the basic database in a mode of covering an original data table.
The error data fed back by the back end can be error data fed back by a client or error data found in the internal inspection process. Acquiring a main key ID of a corresponding data table and a field number of the error data in the data table according to the error data, acquiring corresponding field content from a basic database for correction, and marking correction marks to obtain correction fields with correction marks; then, obtaining the contents of other fields (other fields except the correction field) of the data table from the basic database, and merging with the correction field to obtain a merged data table; and storing the merged data table into the basic database in a mode of covering an original data table.
Specifically, the customer feeds back that the legal person is limited to consume high in the cleaning data provided to the customer, but the court has in fact cancelled the limitation, i.e. the field "legal person status" is wrong (the legal person is limited to consume high before the third person, but the legal person is cancelled later, the referee document has been validated, but the online public document is slow, so the data collected by the collection system is also the wrong data before). And acquiring the main key ID of the data table corresponding to the error data as 200 and the field number as B according to the error data, correcting the field content of the main key ID as 200 and the field number as B acquired from the basic database, and marking with a correction mark to obtain a correction field B. And then, acquiring other field contents of the data table corresponding to the primary key ID of 200 from the basic database, merging with the correction field B to obtain a merged data table, and storing the merged data table into the basic database in a mode of covering an original data table.
In a preferred embodiment, the method further comprises:
service cleaning is carried out on the data in the basic database, and the data after service cleaning is updated to the service database; and synchronizing the updated data in the service database to an online database in a log synchronization mode.
The basic database is a full-volume database, a plurality of service databases are stored, one specific service corresponds to one service database, and service cleaning is to acquire data related to the specific service from the basic database and store the data in the corresponding service database. The service cleaning may further clean the service data obtained from the base database, so that the display form of the service data can meet the personalized display requirement of the corresponding service.
Because the related change operation is recorded in the log after the data in the service database is changed, the log synchronization mode means that the change operation of the log record of the service database is synchronized to the online database, so that the update data in the service database can be synchronized to the online database for use by clients. The online database may be a cloud database like alicloud mysql.
Further, the "performing service cleaning on the data in the base database and updating the data after service cleaning to the service database" specifically includes:
and acquiring a data table with an association relation with a specific service from the basic database, extracting a field with the association relation with the specific service from the data table, and storing the data table only comprising the field with the association relation into a service database of the corresponding service. Specifically, the data tables list1 to list20 with the association relation with the service A are obtained from the basic database, then the fields with the association relation with the service A in the data tables list1 to list20 are extracted (for example, the fields A to C in the list1 to list20 are extracted), and the list1 to list20 only comprising the fields with the association relation is stored in the service database corresponding to the service A.
In a specific embodiment, after receiving a certain piece of data collected by the collection system, judging whether the piece of data accords with a preset cleaning rule, if so, performing field cleaning on the data to obtain a data table T1 with a primary key ID of M, searching a basic database, finding that the data table with the primary key ID of M does not exist, and directly storing the data table T1 into the basic database by taking M as an index. The data table T1 is then extracted into the service database of service B and synchronously updated into the online database for use by the customer. After the user feeds back that the field C of the data table T1 is wrong, the content of the wrong field is obtained from the basic database for correction, a correction record is made on the field C, then the field C is combined with the content of other fields of the data table T1, and the combined data table T2 is stored in the basic database in a mode of covering the original data table T1. After receiving the latest data meeting the preset cleaning rules collected by the collection system, performing field cleaning again to obtain a new data table T3 with the main key ID M (compared with the data table T2, the data table T3 is updated with the fields A, C and E). Then searching a basic database, finding that a data table T2 with the primary key ID of M exists, wherein the data table T2 contains a correction field C, replacing the field C in the data table T3 with the correction field C to obtain a data table T4, and storing the data table T4 into the basic database in a mode of covering the data table T2. Finally, the data table T4 in the base database retains the correction field C (i.e., ensures the correctness of the updated cleansing data), and updates the fields a and E (i.e., ensures the update of the latest cleansing data).
The present invention also provides an electronic device, including a memory and a processor, where the memory stores a computer program that can be executed on the processor, and the processor implements any one of the steps of the data cleansing method with a correction function, that is, implements the steps of any one of the technical solutions of the data cleansing method with a correction function when executing the program.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements any one of the steps of the above-described data cleansing method with correction function, that is, implements the steps of any one of the aspects of the above-described data cleansing method with correction function.
It should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is for clarity only, and that the skilled artisan should recognize that the embodiments may be combined as appropriate to form other embodiments that will be understood by those skilled in the art.
The above list of detailed descriptions is only specific to practical embodiments of the present invention, and they are not intended to limit the scope of the present invention, and all equivalent embodiments or modifications that do not depart from the spirit of the present invention should be included in the scope of the present invention.
Claims (9)
1. A data cleansing method with correction function, the method comprising:
after field cleaning is carried out on the data conforming to the preset cleaning rule, each piece of data is cleaned into a data table with a main key ID;
according to a preset updating rule, updating each data table into a basic database by taking a corresponding primary key ID as an index; wherein, the preset updating rule comprises:
after judging that a data table to be updated is stored in the basic database according to the primary key ID, and after the stored data table comprises a correction field, covering the correction field with a field corresponding to the data table to be updated, and storing the data table to be updated in the basic database in a mode of covering the stored data table;
the method further comprises the steps of:
acquiring a primary key ID of a data table corresponding to the error data and a field number of the error data in the data table according to the error data fed back by the back end;
acquiring corresponding field content from the basic database according to the primary key ID and the field number, correcting and marking the corresponding field content to obtain a corrected field with a corrected mark;
acquiring other field contents of the data table corresponding to the primary key ID from the basic database according to the primary key ID and the field number, and merging with the correction field to obtain a merged data table;
and storing the merged data table into the basic database in a mode of covering an original data table.
2. The data cleansing method with correction function according to claim 1, wherein the preset update rule further comprises:
after the fact that the data table to be updated is stored in the basic database according to the primary key ID is judged, and the stored data table does not include a correction field, the data table to be updated is stored in the basic database in a mode of covering the stored data table.
3. The data cleansing method with correction function according to claim 1, wherein the preset update rule further comprises:
and after judging that the data table to be updated is not stored in the basic database according to the primary key ID, storing the data table to be updated in the basic database by taking the corresponding primary key ID as an index.
4. The data cleansing method with correction function according to claim 1, wherein the "field cleansing" includes:
and cleaning each field in each piece of data to enable the display form of each field to accord with the standard form of page display.
5. The data cleansing method with correction function according to claim 1, characterized in that the method further comprises:
acquiring data to be cleaned, and judging whether the data to be cleaned accords with a preset cleaning rule; the preset cleaning rule means that each piece of data comprises N designated fields, and N is a positive integer.
6. The data cleansing method with correction function according to claim 1, characterized in that the method further comprises:
service cleaning is carried out on the data in the basic database, and the data after service cleaning is updated to the service database;
and synchronizing the updated data in the service database to an online database in a log synchronization mode.
7. The method for cleaning data with correction function according to claim 6, wherein the steps of performing service cleaning on the data in the base database and updating the data after service cleaning into the service database include:
and acquiring a data table with an association relation with a specific service from the basic database, extracting a field with the association relation with the specific service from the data table, and storing the data table only comprising the field with the association relation into a service database of the corresponding service.
8. An electronic device comprising a memory and a processor, said memory storing a computer program executable on said processor, characterized in that said processor, when executing said program, implements the steps of the data cleansing method with correction function of any one of claims 1-7.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the data cleansing method with correction function as claimed in any one of claims 1 to 7.
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| CN106326219A (en) * | 2015-06-16 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Business system data check method, apparatus and system |
| CN109299183A (en) * | 2018-11-20 | 2019-02-01 | 北京锐安科技有限公司 | A kind of data processing method, device, terminal device and storage medium |
| CN111159177A (en) * | 2019-12-10 | 2020-05-15 | 大唐软件技术股份有限公司 | Data fusion method, device, equipment and medium based on heterogeneous data |
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| CN106326219A (en) * | 2015-06-16 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Business system data check method, apparatus and system |
| CN109299183A (en) * | 2018-11-20 | 2019-02-01 | 北京锐安科技有限公司 | A kind of data processing method, device, terminal device and storage medium |
| CN111159177A (en) * | 2019-12-10 | 2020-05-15 | 大唐软件技术股份有限公司 | Data fusion method, device, equipment and medium based on heterogeneous data |
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