CN106709024B - Method and device for tracing data table based on blood margin analysis - Google Patents
Method and device for tracing data table based on blood margin analysis Download PDFInfo
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Abstract
The invention relates to a method and a device for tracing a data table based on blood margin analysis, wherein the method comprises the following steps: step S1: configuring a mapping relation conversion mode of a data table needing tracing operation; step S2: formulating a conversion rule according to the mapping relation conversion mode configured in the step S1; step S3: establishing a mapping relation table according to the mapping relation conversion mode configured in the step S1 and the conversion rule formulated in the step S2; step S4: and tracing the source of the target data table according to the mapping relation table. The device comprises: the system comprises a mode configuration module, a rule making module, a mapping relation table establishing module and a source tracing module. The method for tracing the source of the data table based on the blood vessel analysis can effectively trace the source of the data table belonging to various different types of data sources, visually locate the attribution of the data table belonging to different data sources, and find the quality problem of the data by locating the attribution. The method and the device have high efficiency and high speed for positioning the data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for tracing a data table based on blood margin analysis.
Background
Big data is another subversive technical change of the IT industry after cloud computing and the Internet of things, and has great influence on national governance modes, decisions, organizations, business processes, modes for providing public services and the like. Along with the requirements of smart city construction on information technologies such as internet, cloud computing, internet of things and the like, collection, storage, analysis, processing and application of a large amount of data become more convenient, and government or public decision behaviors are gradually made on the basis of the data and the analysis. Data tracing is descriptive information about the origin of data and the process of data generation, which plays an important role in many ways. At present, in the development of a big data system, a data table tracing method aiming at various different data sources does not exist.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method and a device for tracing the source of a data table based on blood relationship analysis, which can effectively trace the source of the data table belonging to various different types of data sources, intuitively position the attribution of the data table belonging to different data sources and quickly find the quality problem of the data by positioning the attribution.
In a first aspect, the present invention provides a method for performing data table tracing based on blood-related analysis, which specifically includes the following steps:
step S1: configuring a mapping relation conversion mode of a data table needing tracing operation;
step S2: formulating a conversion rule according to the mapping relation conversion mode configured in the step S1;
step S3: establishing a mapping relation table according to the mapping relation conversion mode configured in the step S1 and the conversion rule formulated in the step S2;
step S4: and tracing the source of the target data table according to the mapping relation table.
Further, before the mapping relationship conversion mode configuration is performed in step S1, the data source type to which the data table to be subjected to the tracing operation belongs is determined.
Further, the specific operation steps of establishing the mapping relationship table according to the mapping relationship conversion mode configured in step S1 and the conversion rule formulated in step S2 in step S3 are as follows:
step S301: establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table;
step S302: distributing field length and field type for each fixed field of the mapping relation table and adding remark information for each fixed field;
further, the specific operation of tracing the source of the target data table according to the mapping relationship table in the step S4 includes:
step S401: taking a data table to be traced as a target data table, and searching a source data table of the target data table;
step S402: judging whether the source data table still exists;
step S403: if the determination result in the step S402 is yes, the determination operation in the step S402 is repeated until the source data table is finally found out, and then the step S404 is performed;
step S404: and recording the retrieved source data tables, and sequentially arranging and outputting according to the retrieved time sequence.
Further, the method for determining whether the source data table still exists in the source data table in step S402 is: performing the retrieval operation of step S401 with the source data table as the target data table; and judging the retrieval result after the retrieval is finished.
According to the technical scheme, the data table tracing method based on the blood relationship analysis can effectively trace the source of the data tables belonging to various different types of data sources, visually locate the attribution of the data tables belonging to different data sources, and quickly find the quality problem of the data by locating the attribution.
Once the metadata in any data table has quality problems, the data table with the problems can be traced and retrieved by the method for tracing the data table based on the blood vessel analysis, and the source of the problems is located by retrieving the source data table. The method can directly and objectively determine the problem of the data quality, and has high efficiency and high speed of positioning the problem. The method and the device enable a user to quickly locate the key place of the data with problems, thereby improving decision-making capability. Factors that affect the decision are quickly identified that cannot be discovered using other analytical approaches.
In a second aspect, the present invention provides an apparatus for performing data table tracing based on blood-related analysis, comprising
A mode configuration module: the mapping relation conversion mode is used for configuring a data table needing tracing operation;
a rule making module: the conversion rule is formulated according to the mapping relation conversion mode;
a mapping relation table establishing module: the mapping relation conversion module is used for establishing a mapping relation table according to the mapping relation conversion mode and the conversion rule;
a source tracing module: and the source tracing module is used for tracing the target data table according to the mapping relation table.
Further, the apparatus for performing data table tracing based on blood-related analysis further comprises:
a judging module: and the method is used for judging the data source type of the data table to which the source tracing operation is required.
Further, the mapping relation table establishing module includes:
a field establishing unit: establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table;
a field configuration unit: and allocating field length and field type to each fixed field of the mapping relation table and adding remark information to each fixed field.
Further, the tracing module comprises:
a retrieval unit: the source data table is used for searching the target data table by taking the data table to be traced as the target data table;
a judging unit: the method is used for judging whether the source data table still exists;
a recursive computation unit: the method is used for judging whether the source data table still exists; if the result is yes, the judgment operation is still carried out until the source data table is finally searched, and the recording unit is entered;
a recording output unit: and the system is used for recording the retrieved source data tables, and sequentially arranging and outputting the source data tables according to the retrieved time sequence.
Furthermore, the method for judging whether the source data table still exists in the source data table by the judging unit is to perform retrieval operation on the source data table serving as a target data table in the retrieval unit, if the source data table is still retrieved, the judgment result is yes, and if the source data table is not retrieved, the judgment result is no.
According to the technical scheme, the data table tracing device based on the blood relationship analysis can effectively trace the source of the data tables belonging to various different types of data sources, visually locate the attribution of the data tables belonging to different data sources, and quickly find the quality problem of the data by locating the attribution.
Once the quality problem of metadata in any data table occurs, the data table with the problem can be traced and retrieved through the data table tracing device based on the blood margin analysis, and the source of the problem is located through retrieving the source data table. The device can directly and objectively determine the problem of data quality, and has high efficiency and high speed in positioning the problem. The method and the device enable a user to quickly locate the key place of the data with problems, thereby improving decision-making capability. Factors that affect the decision are quickly identified that cannot be discovered using other analytical approaches.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a flow chart illustrating a method for performing data table tracing based on blood-based analysis according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating the specific steps of the tracing operation of the method for tracing the source of the data table based on the blood-related analysis according to the embodiment of the present invention;
FIG. 3 is a block diagram of an apparatus for performing data table tracing based on blood-based analysis according to an embodiment of the present invention;
fig. 4 is a block diagram of a mapping relation table establishing module of the apparatus for performing data table tracing based on blood-related analysis according to the embodiment of the present invention;
fig. 5 is a block diagram illustrating a source tracing module of the apparatus for performing data table source tracing based on blood-related analysis according to the embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby. It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
The data lineage (L inceage, Provenance, Pedigree) can also be translated (blood relationship, origin, lineage), and for a database system, it is sometimes necessary to obtain the evolution process of data in the data stream by tracing the data lineage.
An embodiment of the present invention provides a method for performing data table tracing based on blood-related analysis, and as shown in fig. 1, the embodiment includes the following steps:
step S1: configuring a mapping relation conversion mode of a data table needing tracing operation;
step S2: formulating a conversion rule according to the mapping relation conversion mode configured in the step S1;
step S3: establishing a mapping relation table according to the mapping relation conversion mode configured in the step S1 and the conversion rule formulated in the step S2;
step S4: and tracing the source of the target data table according to the mapping relation table. In this embodiment, the source tracing operation in step S1 is a method for tracing a source data table of a data table in a database based on data blood-related analysis.
In this embodiment, the fixed format of the mapping relationship table is shown in table 1:
TABLE 1
In this embodiment, before the mapping relationship conversion mode configuration is performed in step S1, the data source type to which the data table to be subjected to the tracing operation belongs is determined.
In this embodiment, the specific operation steps of establishing the mapping table according to the mapping conversion mode configured in step S1 and the conversion rule formulated in step S2 in step S3 are as follows:
step S301: and establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table.
Step S302: and allocating field length and field type to each fixed field of the mapping relation table and adding remark information to each fixed field.
In this embodiment, the specific operation of tracing the source of the target data table according to the mapping relationship table in step S4 includes:
step S401: and taking the data table to be traced as a target data table, and searching a source data table of the target data table.
Step S402: and judging whether the source data table still exists.
Step S403: if the determination result in step S402 is yes, the determination operation in step S402 is repeated until the source data table is finally found, and then step S404 is performed.
Step S404: and recording the retrieved source data table, and sequentially arranging and outputting the source data table forwards according to the retrieved time sequence.
For example, existing PEOP L E, TEST1 belong to data tables of three different types of data sources, if we want to find the blood edge of the PEOP L E data table:
first, in step S401, a source data table of the PEOP L E data table is searched using the PEOP L E data table as a target data table.
And retrieving the source data table of the PEOP L E data table as a TEST data table according to the source mode, the target mode and the conversion rule (shown in the table 2).
TABLE 2
In step S402, it is determined whether the TEST data table still has a source data table. The determination process needs to search the source data table using the TEST data table as the target data table according to the source mode, the target mode and the conversion rule (as shown in table 2). The result of the search here is the source data table TEST1 from which the TEST data table was searched.
In step S403, the determination step of step S402 is repeated to determine whether or not the source data table still exists in the data table TEST 1. The determination process needs to search the source data table according to the determination process by using the TEST1 data table as the target data table according to the source mode, the target mode and the conversion rule (as shown in table 2). The search result here is that the TEST1 data table does not have a source data table.
In step S404, the retrieved source data tables TEST and TEST1 are recorded and sequentially arranged according to the retrieved time sequence and output, wherein the output result obtained here is TEST1(3) - > TEST (2) - > PEOP L E (1).
The method for tracing the source of the data table based on the blood-cause analysis can effectively trace the source of the data table belonging to various different types of data sources, visually locate the attribution of the data table belonging to different data sources, and quickly find the quality problem of the data by locating the attribution.
Once the metadata in any data table has quality problems, the data table with the problems can be traced and retrieved by the method for tracing the data table based on the blood vessel analysis, and the source of the problems is located by retrieving the source data table. The method can directly and objectively determine the problem of the data quality, and has high efficiency and high speed of positioning the problem. The method and the device enable a user to quickly locate the key place of the data with problems, thereby improving decision-making capability. Factors that affect the decision are quickly identified that cannot be discovered using other analytical approaches.
The second embodiment of the invention provides a device for tracing a data table based on blood margin analysis, which comprises
A mode configuration module: and the mapping relation conversion mode is used for configuring the data table needing the tracing operation.
A rule making module: and the conversion rule is formulated according to the mapping relation conversion mode.
A mapping relation table establishing module: the mapping relation conversion module is used for establishing a mapping relation table according to the mapping relation conversion mode and the conversion rule;
a source tracing module: and the source tracing module is used for tracing the target data table according to the mapping relation table.
In this embodiment, the apparatus for performing data table tracing based on blood vessel analysis further includes:
a judging module: and the method is used for judging the data source type of the data table to which the source tracing operation is required.
In this embodiment, the mapping relationship table establishing module includes:
a field establishing unit: and establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table.
A field configuration unit: and allocating field length and field type to each fixed field of the mapping relation table and adding remark information to each fixed field.
In this embodiment, the source tracing module includes:
a retrieval unit: and the source data table is used for searching the target data table by taking the data table to be traced as the target data table.
A judging unit: and the method is used for judging whether the source data table still exists.
A recursive computation unit: the method is used for judging whether the source data table still exists; if the result is yes, the judgment operation is still carried out until the source data table is finally found out, and the recording unit is entered.
A recording output unit: and the system is used for recording the retrieved source data tables, and sequentially arranging and outputting the source data tables according to the retrieved time sequence.
In this embodiment, the method for determining, by the determining unit, whether the source data table still exists in the source data table is to perform a retrieval operation on the retrieving unit by using the source data table as the target data table, and if the source data table is still retrieved, the determination result is yes, and if the source data table is not retrieved, the determination result is no.
The device for tracing the source of the data table based on the blood-cause analysis, provided by the embodiment of the invention, can effectively trace the source of the data table belonging to various different types of data sources, intuitively position the attribution of the data table belonging to different data sources, and quickly find the quality problem of the data by positioning the attribution.
Once the quality problem of metadata in any data table occurs, the data table with the problem can be traced and retrieved through the data table tracing device based on the blood margin analysis, and the source of the problem is located through retrieving the source data table. The device can directly and objectively determine the problem of data quality, and has high efficiency and high speed in positioning the problem. The method and the device enable a user to quickly locate the key place of the data with problems, thereby improving decision-making capability. Factors that affect the decision are quickly identified that cannot be discovered using other analytical approaches.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (5)
1. The method for tracing the data table based on the blood margin analysis is characterized by comprising the following steps of:
step S1: configuring a mapping relation conversion mode of a data table needing tracing operation;
step S2: formulating a conversion rule according to the mapping relation conversion mode configured in the step S1;
step S3: establishing a mapping relation table according to the mapping relation conversion mode configured in the step S1 and the conversion rule formulated in the step S2;
step S4: tracing the source of the target data table according to the mapping relation table;
the specific operation steps of establishing the mapping relationship table according to the mapping relationship conversion mode configured in step S1 and the conversion rule formulated in step S2 in step S3 are as follows:
step S301: establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table;
step S302: distributing field length and field type for each fixed field of the mapping relation table and adding remark information for each fixed field;
the specific operation of tracing the source of the target data table according to the mapping relationship table in step S4 includes:
step S401: taking a data table to be traced as a target data table, and retrieving a source data table of the target data table;
step S402: taking the source data table as a target data table, and judging whether the target data table still has the source data table;
step S403: if the determination result in the step S402 is yes, the determination operation in the step S402 is repeated until the source data table is finally not retrieved, and then the process proceeds to a step S404;
step S404: recording the retrieved source data tables, and sequentially arranging and outputting according to the retrieved time sequence;
before the mapping relationship conversion mode configuration is performed in step S1, the data source type to which the data table to be subjected to the tracing operation belongs is determined.
2. The method as claimed in claim 1, wherein the determining step S402 is to determine whether the source data table still exists in the target data table by: the search operation of step S401 is performed, and the search result is determined after the search is completed.
3. Device based on blood reason analysis carries out data table traceability, its characterized in that includes:
a mode configuration module: the mapping relation conversion mode is used for configuring a data table needing tracing operation;
a rule making module: the conversion rule is formulated according to the mapping relation conversion mode;
a mapping relation table establishing module: the mapping relation conversion module is used for establishing a mapping relation table according to the mapping relation conversion mode and the conversion rule;
a source tracing module: the source tracing module is used for tracing the target data table according to the mapping relation table;
the mapping relation table establishing module comprises:
a field establishing unit: establishing corresponding fields for the mapping relation conversion mode and the conversion rule, and fixing the fields in a mapping relation table;
a field configuration unit: distributing field length and field type for each fixed field of the mapping relation table and adding remark information for each fixed field;
the source tracing module comprises:
a retrieval unit: the source data table is used for retrieving the target data table by taking the data table to be traced as the target data table;
a judging unit: the data processing device is used for taking the source data table as a target data table and judging whether the target data table still has the source data table;
a recursive computation unit: the method is used for judging whether the target data table still has a source data table; if the result is yes, the judgment operation is still carried out until the source data table is finally found out, and the recording unit is entered;
a recording output unit: and the system is used for recording the retrieved source data tables, and sequentially arranging and outputting the source data tables according to the retrieved time sequence.
4. The apparatus for performing table tracing based on blood-based analysis of claim 3 wherein: the device for tracing the data table based on the blood margin analysis further comprises:
a judging module: and the method is used for judging the data source type of the data table to which the source tracing operation is required.
5. The apparatus for performing table tracing based on blood-based analysis of claim 3 wherein: the method for judging whether the target data table still has the source data table by the judging unit is to carry out searching operation on the searching unit, if the source data table is still searched, the judging result is yes, and if the source data table cannot be searched, the judging result is no.
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| CN107545030B (en) * | 2017-07-17 | 2020-08-21 | 阿里巴巴集团控股有限公司 | Method, device and equipment for processing data blood relationship |
| CN110019384B (en) * | 2017-08-15 | 2023-06-27 | 阿里巴巴集团控股有限公司 | Method for acquiring blood edge data, method and device for providing blood edge data |
| CN107643956B (en) * | 2017-08-22 | 2020-09-01 | 北京京东尚科信息技术有限公司 | Method and apparatus for locating the origin of an anomaly in anomaly data |
| CN109241142A (en) * | 2018-09-07 | 2019-01-18 | 南京中新赛克科技有限责任公司 | Data genetic connection calculation method based on flow engine |
| CN109325078A (en) * | 2018-09-18 | 2019-02-12 | 拉扎斯网络科技（上海）有限公司 | Method and device is determined based on the data blood relationship of structured data |
| CN109299073B (en) * | 2018-10-19 | 2019-12-24 | 杭州数梦工场科技有限公司 | Data blood margin generation method and system, electronic equipment and storage medium |
| CN109739894B (en) * | 2019-01-04 | 2022-12-09 | 深圳前海微众银行股份有限公司 | Method, device, equipment and storage medium for supplementing metadata description |
| CN109815378A (en) * | 2019-01-31 | 2019-05-28 | 三盟科技股份有限公司 | A kind of data tracing method and system based on metadata link |
| CN111723087B (en) * | 2019-03-19 | 2023-11-10 | 北京沃东天骏信息技术有限公司 | Data blood relationship mining method and device, storage medium and electronic equipment |
| CN111008192B (en) * | 2019-11-14 | 2023-06-02 | 泰康保险集团股份有限公司 | Data management method, device, equipment and medium |
| CN111026568B (en) * | 2019-12-04 | 2023-09-29 | 深圳前海环融联易信息科技服务有限公司 | Data and task relation construction method and device, computer equipment and storage medium |
| CN112527796B (en) * | 2020-12-10 | 2023-07-21 | 中移（杭州）信息技术有限公司 | Data table processing method and device and computer readable storage medium |
| CN113220945B (en) * | 2021-04-28 | 2024-05-31 | 广州宸祺出行科技有限公司 | Method and system for field retrieval and path display of data blood edges |
| CN115203277B (en) * | 2022-09-19 | 2023-01-06 | 北京必盈特信息技术有限公司 | Data decision method and device |
| CN116450710B (en) * | 2023-06-15 | 2023-09-26 | 南京哈卢信息科技有限公司 | Data analysis tracing method and system based on big data |
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| US7263521B2 (en) * | 2002-12-10 | 2007-08-28 | Caringo, Inc. | Navigation of the content space of a document set |
| JP2006197252A (en) * | 2005-01-13 | 2006-07-27 | Meisei Chishiki Kagi Kofun Yugenkoshi | Electronic mail trace system |
| US9619538B2 (en) * | 2013-03-15 | 2017-04-11 | Teradata Us, Inc. | Techniques for data integration |
| CN105893542B (en) * | 2016-03-31 | 2019-04-12 | 华中科技大学 | A kind of cold data file redistribution method and system in cloud storage system |
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