CN114564954A - Index management method and system for maintaining index uniqueness - Google Patents
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Abstract
The invention discloses an index management method and system for maintaining index uniqueness, which relate to the technical field of big data and index management, wherein a data model is set by the method, and comprises a data dimension table, an operation dimension table and an index table, wherein the data dimension table, the operation dimension table and the index table are respectively used for storing a data dimension and an operation dimension of an index, and a logical expression generated by defining and analyzing the index; analyzing each index definition from a service scene, and separating out a data dimension and an operation dimension; the definition of the index and the logic expression corresponding to the index are stored in an index table; when an index is newly added, if corresponding elements exist in the data dimension table and the calculation dimension table, the elements are not added, and a corresponding logic expression is generated according to the index definition; and if the logic expression analyzed according to the index definition is inconsistent with the logic expression in the index table, adding the new index definition and the corresponding logic expression. The invention can optimize the index management mode and avoid the occurrence of redundant indexes.
Description
Technical Field
The invention relates to the technical field of big data and index management, in particular to an index management method and system for maintaining index uniqueness.
Background
With the wide application of big data, various indexes are often designed according to requirements in different service scenes, the number of the indexes is continuously increased, the difficulty of orderly managing the indexes is increased, and if the indexes are managed according to the index definition transmitted by a service system in the index management, a large number of redundant indexes are often caused by the inconsistency of language expression rather than semantic inconsistency.
Disclosure of Invention
Aiming at the defects, the technical task of the invention is to provide the index management method and the index management system for maintaining the uniqueness of the index, which can optimize the index management mode and avoid the occurrence of redundant indexes.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an index management method for maintaining index uniqueness is characterized in that a data model is set, and the data model comprises a data dimension table, an operation dimension table and an index table, wherein the data dimension table, the operation dimension table and the index table are respectively used for storing data dimensions and operation dimensions of indexes and logic expressions generated by index definition and index definition analysis;
analyzing each index definition from a service scene, separating a data dimension and an operation dimension, splitting the index from the whole to zero, and storing the split index into a data dimension table and an operation dimension table; the definition of the index and the logic expression corresponding to the index are stored in an index table;
when an index is newly added, if corresponding elements exist in the data dimension table and the calculation dimension table, the elements are not added, and a corresponding logic expression is generated according to the index definition; if the logic expression analyzed according to the index definition is inconsistent with the logic expression in the index table, adding a new index definition and a corresponding logic expression; if the definition of the index is not completely consistent, but the analyzed logic expression is consistent, the index is not newly added as a repeated index and is fed back to the service system, so that the newly added repeated index is avoided.
Preferably, the data dimension table comprises data identification, data name, data source, data type and data unit;
the operation dimension table comprises an operation logic identifier, an operation logic name and an expression format;
the index table comprises index identification, index definition and index logic expression.
Furthermore, the index logical expression comprises a data part and an operation part, wherein the data part is a data source of the processing index and can be one or more data fields of a certain data table or a plurality of data tables; the operation part is the processing logic for the data part, such as the sum and difference of each data, the ratio of the data field A to the data field B, or the statistics for each data in a certain measure.
The index logic expression is the root of the differentiation index, the purpose of the index logic expression is to avoid the duplication caused by different linguistic expressions rather than semantic differences, if the sum of A and B plus the total value of C and A, B, C are consistent, and the logic expression defining both is sum (A, B, C).
Preferably, the method is implemented as follows:
1) designing a data model for storage, wherein the data model comprises a data dimension table for storing data dimensions, an operation dimension table for storing operation dimensions and an index table for storing index definitions and index logic expressions;
2) determining data dimension, operation dimension and index logic expression definition rules;
3) after the indexes defined according to the business requirements are taken, analyzing the index definitions, separating out data dimensions and operation dimensions, respectively storing the data dimensions and the operation dimensions in a data dimension table and a calculation dimension table, and generating unique identifiers of the data dimensions and the calculation dimensions of the indexes in a database; the logical expression of the index is the combined representation of the unique identification of the data dimension and the calculation dimension;
4) storing the index logic expression and the index definition generated in the step 3) in an index table, and generating a unique identifier of the index;
step 3) and step 4) store each item content of an index into the database management, can facilitate inquiry and statistics;
5) when the index needs to be newly added, the operation of the step 3) is carried out, if the corresponding data dimension and the corresponding calculation dimension exist in the database, the data dimension and the calculation dimension are not added any more, and a corresponding logic expression is generated according to the index definition;
6) searching whether a logic expression of the newly added index exists in a database, and if not, storing the logic expression obtained in the step 5) into an index table according to the step 4); otherwise, the index is shown to exist, no new index is added, and the index is fed back to the service system. When the service is applied, the index mark can be used according to the index mark obtained by searching.
Through the steps, the optimization management of the indexes can be realized, and the query and the statistics are convenient. The uniqueness of the index can be confirmed according to the generated index logic expression, so that the occurrence of redundant indexes is effectively avoided. Meanwhile, the index logic expression is utilized, so that the relevance of each index can be conveniently analyzed, and whether more comprehensive indexes can be derived or not is judged.
Preferably, the data dimension, the operation dimension and the index logical expression define rules as follows:
the data dimension identification is mainly based on the combination of business content and high identification degree, and the data dimension can be represented by English name shorthand and numerical value of a data field;
the operation dimensionality prestores various effective operation dimensionalities according to the business accumulation;
generating a logic expression through index definition, and using the logic expression as a standard when iterating the index logic expression;
if the indexes expressed by two languages of the same logic expression are really needed, the corresponding index definition content is only needed to be added in the index table.
Preferably, the operation dimensions include summing, ratioing, maximizing and minimizing, calculating variance, median, ranking, and calculating statistics within a certain metric.
Furthermore, according to the service requirement, the condition that one index logic expression corresponds to a plurality of index definitions is determined, and supplement can be performed in an index definition column of an index table.
The invention also claims an index management system for maintaining the uniqueness of the index, which comprises an index query module, an index analysis module, a logic expression generation module and a data model; the data model comprises a data dimension table, an operation dimension table and an index table;
the system realizes the index management method for maintaining the uniqueness of the index.
The invention also claims an index management device for maintaining index uniqueness, which comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program and executing the index management method for maintaining the uniqueness of the index.
The invention also claims a computer readable medium having stored thereon computer instructions which, when executed by a processor, cause the processor to perform the above-described index management method of maintaining index uniqueness.
Compared with the prior art, the index management method and the index management system for maintaining the uniqueness of the index have the following beneficial effects:
the method realizes the separation management of the indexes and the index constituent elements by analyzing the index definition, each index constituent element (data dimension and operation dimension) has a unique identifier, and an index logic expression is generated according to the unique identifier combination. Each component element can serve multiple indexes without causing resource redundancy.
The logical expression of the index is the escape expression defined by the index, and because each identifier is unique, the logical expression generated according to the index definition is the rigidity standard used for distinguishing the definition of each index. Because of the uniqueness of the logic expression, whether each index definition has repetition can be judged, and multiple indexes with consistent semantics are prevented from being defined due to inconsistent language and text description.
In addition, the index logic expression is used for conveniently analyzing the relevance of each index and judging whether more comprehensive indexes can be derived.
In conclusion, the method can realize the optimization management of the indexes, avoid repeated definition of the indexes, facilitate derivation of new indexes, and more effectively inquire and count the conditions of the indexes.
Drawings
FIG. 1 is a functional block diagram of an index management method for maintaining index uniqueness according to an embodiment of the present invention;
fig. 2 is a flowchart of an implementation of an index management method for maintaining index uniqueness according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
The embodiment of the invention provides an index management method for maintaining index uniqueness, which is characterized in that as shown in fig. 1, a data model is set, wherein the data model comprises a data dimension table, an operation dimension table and an index table, and the data dimension table, the operation dimension table and the index table are respectively used for storing data dimensions and operation dimensions of indexes and logic expressions generated by index definition and index definition analysis;
analyzing each index definition from a service scene, separating out a data dimension and an operation dimension, splitting the index from whole to zero, and storing the split index into a data dimension table and an operation dimension table; the definition of the index and the logic expression corresponding to the index are stored in an index table;
when an index is newly added, if corresponding elements exist in the data dimension table and the calculation dimension table, the elements are not added, and a corresponding logic expression is generated according to the index definition; if the logic expression analyzed according to the index definition is inconsistent with the logic expression in the index table, adding a new index definition and a corresponding logic expression; if the definition of the index is not completely consistent, but the analyzed logic expression is consistent, the index is not newly added as a repeated index and is fed back to the service system, so that the newly added repeated index is avoided.
The method comprises the following specific steps:
1) designing a data model for storage, namely a data dimension table for storing data dimensions, an operation dimension table for storing operation dimensions and an index table for storing index definition and index logic expression;
the data dimension table comprises data identification, data name, data source, data type and data unit;
the operation dimension table comprises an operation logic identifier, an operation logic name and an expression format;
the index table comprises index identification, index definition and index logic expression.
2) Determining data dimension, operation dimension and index logic expression definition rules; the index logical expression is the root of the differentiation index, and comprises a data part and an operation part, wherein the data part is a data source of the processing index and can be one or more data fields of a certain data table or a plurality of data tables; the operation part is processing logic of the data part, such as sum and difference of each data, ratio of data field A and data field B, or statistics of each data in a certain measure;
the logical expression of the index is to avoid repetition caused by different linguistic expressions rather than semantic differences, for example, the sum of A and B plus the total value of C and A, B, C are consistent, and the logical expressions defining the two are sum (A, B, C).
The rules are formulated as follows:
a: the data dimension identifier is mainly based on the combination of the service content and the high recognition degree, and can be abbreviated by using data fields with english names and numerical representations, and the details can be referred to as the example in b.
b: the operation dimension identification table is shown in table 1, and besides the general operations of summing, ratio finding, maximum value finding, minimum value finding and the like, the calculation variance, median, ranking and statistics in a certain measure which are commonly used in the calculation of the index are added. In the logical expression, elements of the juxtaposition are separated by commas. (the expression here is not the realization of the index processing method, it is the conversion of the operation logic to the index definition, at the same time, it can be used as the auxiliary reference of the next index processing, and it is clear that each calculation step) the operation dimension can be according to the business accumulation prestore all kinds of effective operation dimensions.
TABLE 1 calculation dimension identification Table
An example of an indicator definition generating logical expression is given below:
table 2-data name corresponding data identification table
| Data name | Data identification |
| 2021 Total profit | PROFIT_2021 |
| 2020 Total profit | PROFIT_2020 |
| Administrative penalty list | PUNISH_LIST |
| Amount of administrative punishment | PUNISH_MONEY |
| Administrative penalty time | PUNISH_DATE |
| Time of establishment of enterprise | ENT_REG_DATE |
The index definition and the index multi-level expression correspond to the following:
TABLE 3 INDICATOR DEFINITIONS AND INDICATOR MULTI-STAGE EXPRESSION CORRESPONDING TABLE
c: the index logical expression exists to avoid duplication due to linguistic expression rather than semantic difference, so this should be taken as a criterion when iterating the index logical expression.
d: if the indexes expressed by two languages of the same logic expression are really needed, the corresponding index definition content is only needed to be added in the index table.
3) After the indexes defined according to the business requirements are taken, analyzing the index definitions, separating out data dimensions and operation dimensions, respectively storing the data dimensions and the operation dimensions in a data dimension table and a calculation dimension table, and generating unique identifiers of the data dimensions and the calculation dimensions of the indexes in a database; the logical expression of the index is a combined representation of the data dimension and the unique identity of the compute dimension.
4) Storing the index logic expression and the index definition generated in the step 3) in an index table, and generating a unique identifier of the index; if the condition that one index logic expression corresponds to a plurality of index definitions is determined according to the service requirement, the supplement can be carried out in an index definition column of an index table.
And 3) storing each item of content of one index into a database for management in the steps 3) and 4), so that query and statistics can be facilitated.
5) And when the index needs to be newly added, performing the operation of the step 3), if the corresponding data dimension and the calculation dimension exist in the database, not adding any more, and generating a corresponding logic expression according to the index definition.
6) Searching whether a logic expression of the newly added index exists in a database, and if not, storing the logic expression obtained in the step 5) into an index table according to the step 4); otherwise, the index is shown to exist, no new index is added, and the index is fed back to the service system. When the service is applied, the index mark can be used according to the index mark obtained by searching.
Through the steps, the index can be optimized and managed, and query and statistics are facilitated. The uniqueness of the index can be confirmed according to the generated index logic expression, so that the occurrence of redundant indexes is effectively avoided. Meanwhile, the index logic expression is utilized, so that the relevance of each index can be conveniently analyzed, and whether more comprehensive indexes can be derived or not is judged.
The steps of the flow implementation are shown in fig. 2.
The method realizes the separation management of the indexes and the index constituent elements by analyzing the index definition, each index constituent element (data dimension and operation dimension) has a unique identifier, and an index logic expression is generated according to the unique identifier combination. Each component element can serve multiple indexes without causing resource redundancy.
The logical expression of the index is the escape expression defined by the index, and because each identifier is unique, the logical expression generated according to the index definition is the rigidity standard used for distinguishing the definition of each index. Because of the uniqueness of the logic expression, whether each index definition has repetition can be judged, and multiple indexes with consistent semantics are prevented from being defined due to inconsistent language and text description.
The index logic expression is used for conveniently analyzing the relevance of each index and judging whether more comprehensive indexes can be derived.
The embodiment of the invention also provides an index management system for maintaining the uniqueness of the index, which comprises an index query module, an index analysis module, a logic expression generation module and a data model; the data model comprises a data dimension table, an operation dimension table and an index table;
the system implements the index management method for maintaining the uniqueness of the index described in the above embodiment of the present invention.
The embodiment of the invention also provides an index management device for maintaining the uniqueness of the index, which comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine-readable program to execute the index management method for maintaining the uniqueness of the index in the above embodiment of the present invention.
An embodiment of the present invention further provides a computer-readable medium, where a computer instruction is stored on the computer-readable medium, and when the computer instruction is executed by a processor, the processor is caused to execute the index management method for maintaining the uniqueness of the index in the above embodiment of the present invention. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, optical disks (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.
Claims (10)
1. An index management method for maintaining index uniqueness is characterized in that a data model is set, wherein the data model comprises a data dimension table, an operation dimension table and an index table, and the data dimension table, the operation dimension table and the index table are respectively used for storing a data dimension and an operation dimension of an index and a logic expression generated by defining the index and analyzing the index;
analyzing each index definition from a service scene, separating out a data dimension and an operation dimension, splitting the index from whole to zero, and storing the split index into a data dimension table and an operation dimension table; the definition of the index and the logic expression corresponding to the index are stored in an index table;
when an index is newly added, if corresponding elements exist in the data dimension table and the calculation dimension table, the elements are not added, and a corresponding logic expression is generated according to the index definition; if the logic expression analyzed according to the index definition is inconsistent with the logic expression in the index table, adding a new index definition and a corresponding logic expression; if the definition of the index is not completely consistent, but the analyzed logic expression is consistent, the index is not newly added as a repeated index and is fed back to the service system, so that the newly added repeated index is avoided.
2. The index management method for maintaining the uniqueness of the index as claimed in claim 1, wherein the data dimension table comprises data identification, data name, data source, data type and data unit;
the operation dimension table comprises operation logic identification, operation logic name and expression format;
the index table comprises index identification, index definition and index logic expression.
3. The index management method for maintaining index uniqueness as claimed in claim 2, wherein the index logical expression comprises a data part and an operation part, the data part is a data source of a processing index and can be one or more data fields of a certain data table or a plurality of data tables; the operation part is the processing logic of the data part.
4. An index management method for maintaining index uniqueness according to claim 1, 2 or 3, characterized in that the method is implemented as follows:
1) designing a data model for storage, wherein the data model comprises a data dimension table for storing data dimensions, an operation dimension table for storing operation dimensions and an index table for storing index definitions and index logic expressions;
2) determining data dimensions, operation dimensions and an index logic expression definition rule;
3) after the indexes defined according to the business requirements are taken, analyzing the index definitions, separating out data dimensions and operation dimensions, respectively storing the data dimensions and the operation dimensions in a data dimension table and a calculation dimension table, and generating unique identifiers of the data dimensions and the calculation dimensions of the indexes in a database; the logical expression of the index is the combined representation of the unique identification of the data dimension and the calculation dimension;
4) storing the index logic expression and the index definition generated in the step 3) in an index table, and generating a unique identifier of the index;
5) when the index needs to be newly added, the operation of the step 3) is carried out, if the corresponding data dimension and the corresponding calculation dimension exist in the database, the data dimension and the calculation dimension are not added any more, and a corresponding logic expression is generated according to the index definition;
6) searching whether a logic expression of the newly added index exists in a database, and if not, storing the logic expression obtained in the step 5) into an index table according to the step 4); otherwise, the index is shown to exist, no new index is added, and the index is fed back to the service system.
5. The index management method for maintaining index uniqueness according to claim 4, wherein the data dimension, the operation dimension and the index logical expression define rules as follows:
data dimensions can be represented by data field English name shorthand and numerical values;
the operation dimensionality prestores various effective operation dimensionalities according to the business accumulation;
generating a logic expression through the index definition, and taking the logic expression as a standard when iterating the index logic expression;
if the indexes expressed by two languages of the same logic expression are really needed, the corresponding index definition content is only needed to be added in the index table.
6. The method of claim 5, wherein the operation dimension comprises summing, ratioing, maximizing and minimizing, calculating variance, median, ranking, and calculating statistics within a metric.
7. The index management method for maintaining index uniqueness as claimed in claim 4, wherein a condition that one index logical expression corresponds to a plurality of index definitions is determined according to business requirements, and the supplement can be performed in an index definition column of an index table.
8. An index management system for maintaining index uniqueness is characterized by comprising an index query module, an index analysis module, a logic expression generation module and a data model; the data model comprises a data dimension table, an operation dimension table and an index table;
the system implements an index management method of maintaining index uniqueness as claimed in any one of claims 1 to 7.
9. An index management apparatus that maintains index uniqueness, comprising at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program to perform the index management method for maintaining index uniqueness according to any one of claims 1 to 7.
10. Computer readable medium, characterized in that it has stored thereon computer instructions which, when executed by a processor, cause the processor to execute a method of index management for maintaining uniqueness of an index as claimed in any one of claims 1 to 7.
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