CN114722243A - Data table sorting method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to a data table sorting method and device, electronic equipment and a storage medium, belonging to the technical field of databases; the data table sorting method comprises the following steps: acquiring each preset information of each data table in a first preset period; respectively calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculation rule; based on a first preset weight rule, respectively carrying out weighted calculation on the importance of each preset information of the same data table to generate the importance of each data table; sorting the data tables based on the importance of each data table; and displaying each sorted data table. The data tables are sorted according to the importance degree, so that the most valuable data tables are preferentially displayed, and a new user can quickly find the most valuable data tables from a large number of data tables to know the attributes of the data tables.
Description
Technical Field
The invention relates to the technical field of databases, in particular to a data table sorting method and device, electronic equipment and a storage medium.
Background
In a database, data tables are typically sorted by ID or creation time. However, in the context of large data, the number of data tables is increasing, and it is difficult for new users to find the most valuable data table from a large number of data tables to know the attributes of the data table.
Disclosure of Invention
In order to enable a user to quickly find the most common and valuable data table, in a first aspect, the invention provides a data table sorting method, which adopts the following technical scheme:
a method of sorting a data table, comprising:
acquiring preset information of each data table in a first preset period;
respectively calculating the importance of each preset information of each data table according to each preset information and a corresponding importance calculation rule;
based on a first preset weight rule, respectively carrying out weighted calculation on the importance of each preset information of the same data table to generate the importance of each data table;
sorting the data tables based on the importance of each data table;
and displaying each sorted data table.
By adopting the technical scheme, the data tables are sorted according to the importance degree, so that the data table with the most value is preferentially displayed, and a new user can quickly find the data table with the most value from a large number of data tables to know the attribute of the data table.
Optionally, the preset information includes at least two of query times, operation times, browsing information and collection times.
By adopting the technical scheme, the preset information is specified, so that the importance of the data table is calculated from different dimensions, and the accuracy of the importance of the data table is improved.
Optionally, if the preset information is query times, operation times or collection times, the importance calculation rule includes:
respectively calculating the average value of the preset information of each data table in the first preset period, and extracting the maximum average value of the preset information; and
and dividing the average value of the preset information of each data table by the maximum average value of the preset information to generate the importance of the preset information of each data table.
By adopting the technical scheme, the importance calculation rules corresponding to the query times, the operation times and the collection times are specifically limited, and the importance of more accurate preset information can be calculated based on the average value.
Optionally, the browsing information includes browsing times and browsing duration.
By adopting the technical scheme, the browsing information is limited from two dimensions of browsing times and browsing duration, and more accurate importance can be calculated according to the browsing information.
Optionally, if the preset information is browsing information, the importance calculation rule includes:
respectively calculating the average value of the browsing times of each data table in the first preset period, and extracting the maximum average value of the browsing times; dividing the average value of the browsing times of each data table by the maximum average value of the browsing times to generate a first browsing importance degree of each data table; and
respectively calculating the average value of the browsing duration of each data table in the first preset period, and extracting the maximum average value of the browsing duration; dividing the average value of the browsing duration of each data table by the maximum average value of the browsing duration to generate a second browsing importance degree of each data table;
and performing weighted calculation on the first browsing importance and the second browsing importance of each data table based on a second preset weight rule to generate the importance of the browsing information of each data table.
By adopting the technical scheme, the importance calculation rule corresponding to the browsing information is specifically limited, so that more accurate importance of the browsing information is comprehensively calculated from two dimensions.
In a second aspect, the present invention provides a data table sorting method, which adopts the following technical scheme:
acquiring preset information of each data table in each first preset period;
respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and a corresponding importance calculation rule;
respectively performing time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule to generate the importance of each preset information of each data table;
based on a first preset weight rule, respectively carrying out weighted calculation on the importance of each preset information of the same data table to generate the importance of each data table;
sorting the data tables based on the importance of each data table;
and displaying each sorted data table.
By adopting the technical scheme, the time attenuation factor is added into the calculation of the importance of the data table on the basis of a plurality of preset information, the accuracy of the importance of the data table is improved, and the data table is sorted according to the importance, so that the data table with the most value is preferentially displayed, and a new user can quickly find the data table with the most value from a large number of data tables to know the attribute of the data table.
In a third aspect, the present invention provides a data table sorting apparatus, which adopts the following technical solution:
a data table sorting apparatus comprising:
the acquisition module is used for acquiring each preset information of each data table in a first preset period;
the first importance calculating module is used for calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table;
the sorting module is used for sorting the data tables based on the importance of each data table;
and the display module is used for displaying each sorted data table.
In a fourth aspect, the present invention provides a data table sorting apparatus, which adopts the following technical solutions:
the acquisition module is used for acquiring each preset information of each data table in each first preset period;
the first importance calculating module is used for respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule to generate the importance of each preset information of each data table;
the third importance calculation module is used for respectively performing weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table;
the sorting module is used for sorting the data tables based on the importance of each data table;
and the display module is used for displaying each sorted data table.
In a fifth aspect, the present invention provides an electronic device, which adopts the following technical solution:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and executed to perform the method.
In a sixth aspect, the present invention provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium storing a computer program that can be loaded by a processor and executes the method.
In summary, the invention includes at least one of the following beneficial technical effects:
1. the data tables are sorted according to the importance degree, so that the most valuable data tables are preferentially displayed, and a new user can quickly find the most valuable data tables from a large number of data tables to know the attributes of the data tables.
2. On the basis of a plurality of preset information, the time attenuation factor is added into the calculation of the importance of the data table, so that the accuracy of the importance of the data table is improved.
Drawings
FIG. 1 is a flow chart of a data table sorting method according to an embodiment of the invention.
FIG. 2 is a flow chart of a data table sorting method according to another embodiment of the invention.
FIG. 3 is a block diagram of a data table sorting apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of the electronic device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to fig. 1-4 and the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention discloses a data table sorting method. Referring to fig. 1, the data table sorting method includes:
and S11, acquiring preset information of each data table in a first preset period.
In this step, all data tables in the same database or a preset number of data tables in the same database are obtained, wherein the number of all data tables or the preset number of data tables is greater than 1, that is, the number of the obtained data tables is greater than 1; specifically, when the data tables are sorted for the first time, all the data tables in the same database are obtained, and when the data tables are not sorted for the first time, all the data tables in the same database can be obtained, and a preset number of data tables with the top historical sorting in the same database can also be obtained to reduce the data processing amount, wherein the historical sorting refers to the last sorting.
The number of the preset information is more than 1, specifically, the preset information comprises at least two of query times, operation times, browsing information and collection times; the operation times are the sum of the adding times, the deleting times and the modifying times; the browsing information includes browsing times and browsing duration. The query times, the operation times, the browsing information and the collection times can all reflect the value of the data table from different dimensions.
The first predetermined period is preset according to actual requirements, and is, for example, 24 hours, 7 days or 30 days, which is not limited herein. The expiration time of the first preset period is equal to the current time, that is, the preset information of the first preset period is the latest information.
And S12, respectively calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculation rule.
If the preset information is the query times, the operation times or the collection times, the corresponding heat calculation rule comprises the following steps: respectively calculating the average value of preset information of each data table in a first preset period, and extracting the maximum average value of the preset information; and respectively dividing the average value of the preset information of each data table with the maximum average value of the preset information to generate the importance of the preset information of each data table. For example, assuming that the preset information is the number of queries, the first preset period is 30 days, the average number of queries of each data table in 30 days is 100, 230, 500, 180 and 310, respectively, the maximum average value 500 of the preset information is extracted, and 100, 230, 500, 180 and 300 are divided by 500, respectively, thereby calculating the importance of each data table as 0.20, 0.46, 1.00, 0.36 and 0.60 in sequence.
If the preset information is browsing information, the corresponding heat calculation rule comprises:
respectively calculating the average value of the browsing times of each data table in a first preset period, and extracting the maximum average value of the browsing times; dividing the average value of the browsing times of each data sheet by the maximum average value of the browsing times to generate a first browsing importance degree of each data sheet; and
respectively calculating the average value of the browsing duration of each data table in a first preset period, and extracting the maximum average value of the browsing duration; dividing the average value of the browsing duration of each data table by the maximum average value of the browsing duration to generate a second browsing importance degree of each data table;
and performing weighted calculation on the first browsing importance and the second browsing importance of each data table based on a second preset weight rule to generate the importance of the browsing information of each data table.
In the second preset weight rule, the sum of the weight coefficient of the first browsing importance and the weight coefficient of the second browsing importance is equal to 1, and the weight coefficient of the first browsing importance and the weight coefficient of the second browsing importance may be equal to or not equal to each other, for example, the weight coefficient of the first browsing importance is 0.3, the weight coefficient of the second browsing importance is 0.7, or the weight coefficients of the first browsing importance and the second browsing importance are both 0.5, or the weight coefficient of the first browsing importance is 0.6, and the weight coefficient of the second browsing importance is 0.4, which is not limited herein.
And S13, respectively carrying out weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table.
In the first preset weight rule, the weight coefficient of each preset information is preset, and the sum of the weight coefficients of each preset information is equal to 1.
And S14, sorting the data tables based on the importance of each data table.
The data tables are sorted according to the importance, the data tables with high importance are arranged in the front, and the data tables with low heat are arranged in the back.
And S15, displaying the sorted data tables.
And displaying the sorted data tables on a display interface according to the sorted data table sequence.
In the above embodiment, the data tables are sorted according to the importance, so that the most valuable data table is preferentially displayed, and a new user is facilitated to quickly find the most valuable data table from a large number of data tables to know the attributes of the data tables.
As another embodiment of the data table sorting method, referring to fig. 2, the data table sorting method includes:
and S21, acquiring preset information of each data table in each first preset period.
The present embodiment differs from the previous embodiments in that: the first preset period of the present embodiment is plural, and the first preset period of the foregoing embodiment is one.
The plurality of first preset periods are continuous on the time axis, and the deadline of the last first preset period is equal to the current time.
And S22, respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and the corresponding heat calculation rule.
If the preset information is the query times, the operation times or the collection times, the corresponding heat calculation rule comprises the following steps: respectively calculating the average value of the preset information of each data table in each first preset period, and extracting the maximum average value of the preset information; and dividing the average value of the preset information of each data table in each first preset period by the maximum average value of the preset information to generate the importance of the preset information of each data table.
If the preset information is browsing information, the corresponding heat calculation rule comprises:
respectively calculating the average value of the browsing times of each data table in each first preset period, and extracting the maximum average value of the browsing times; dividing the average value of the browsing times of each data table in each first preset period by the maximum average value of the browsing times respectively to generate a first browsing importance degree of each data table in each first preset period; and
respectively calculating the average value of the browsing duration of each data table in each first preset period, and extracting the maximum average value of the browsing duration; dividing the average value of the browsing duration of each data table in each first preset period by the maximum average value of the browsing duration to generate a second browsing importance degree of each data table in each first preset period;
performing weighted calculation on the first browsing importance and the second browsing importance of each data table in each first preset period based on a second preset weight rule to generate the importance of the browsing information of each data table in each first preset period;
and S23, respectively carrying out time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule, and generating the importance of each preset information of each data table.
In the preset time attenuation rule, the time weighting coefficients of the first preset period farther from the current time are smaller, and the specific values of the time weighting coefficients can be set according to actual requirements, for example, there are 3 first preset periods, and the time weighting coefficients are 0.2, 0.3, and 0.5 in sequence, which is not limited specifically herein.
And S24, respectively carrying out weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table.
And S25, sorting the data tables based on the importance of each data table.
And S26, displaying the sorted data tables.
Steps S24-S26 are the same as steps S13-S15 in the previous embodiment, and are not repeated here.
In the embodiment, on the basis of a plurality of pieces of preset information, the time attenuation factor is added into the calculation of the importance of the data table, so that the accuracy of the importance of the data table is improved, the data table is sorted according to the importance, the data table with the most value is preferentially displayed, and a new user can quickly find the data table with the most value from a large number of data tables to know the attribute of the data table.
The embodiment of the invention also discloses a data table sorting device. Referring to fig. 3, the data table sorting apparatus includes:
and the acquisition module is used for acquiring each preset information of each data table in a first preset period.
The first importance calculating module is used for calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table;
the sorting module is used for sorting the data tables based on the importance of each data table;
and the display module is used for displaying each sorted data table.
The data table sorting apparatus described in this embodiment may be used to implement the first method embodiment, and the principle and technical effect are similar, which are not described herein again.
In one embodiment, the data table sorting device further includes a third importance calculation module; the acquisition module is used for acquiring each preset information of each data table in each first preset period;
the first importance calculating module is used for respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule to generate the importance of each preset information of each data table;
and the third importance calculation module is used for respectively performing weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table.
The data table sorting apparatus of this embodiment may be used to implement the second method embodiment, and the principle and technical effect are similar, which are not described herein again.
Based on the same technical concept, the embodiment of the present disclosure also provides an electronic device 400. Referring to fig. 4, the electronic device 400 includes a processor 401, a memory 402, and a bus. The memory 402 is used for storing computer programs and includes an internal memory 4021 and an external memory 4022; the internal memory 4021 is used to temporarily store arithmetic data in the processor 401 and data exchanged with the external memory 4022 such as a hard disk, and the processor 401 exchanges data with the external memory 4022 through the internal memory 4021.
In the embodiment of the present application, the memory 402 is specifically used for storing a computer program for executing the technical solution of the present application, and is controlled by the processor 401 to execute. That is, when the electronic device 400 is running, the processor 401 and the memory 402 communicate via the bus, so that the processor 401 executes the computer program stored in the memory 402, thereby executing the method described in any of the foregoing embodiments.
The Memory 402 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), and the like.
The processor 401 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the electronic device 400. In other embodiments of the present application, electronic device 400 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
The present embodiment also provides a computer-readable storage medium, such as a floppy disk, an optical disk, a hard disk, a flash Memory, a usb (Secure Digital Memory Card), an MMC (Multimedia Card), etc., in which a computer program implementing the above steps is stored, and the computer program can be executed by one or more processors to implement the method in the above embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The foregoing is a preferred embodiment of the invention and is not intended to limit the scope of the invention in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
The foregoing is a preferred embodiment of the present invention and is not intended to limit the scope of the invention in any way, and any feature disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (10)
1. A method of sorting a data table, comprising:
acquiring preset information of each data table in a first preset period;
respectively calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculation rule;
based on a first preset weight rule, respectively carrying out weighted calculation on the importance of each preset information of the same data table to generate the importance of each data table;
sorting the data tables based on the importance of each data table;
and displaying each sorted data table.
2. The method of claim 1, wherein: the preset information comprises at least two of query times, operation times, browsing information and collection times.
3. The method of claim 1, wherein if the predetermined information is query times, operation times or collection times, the corresponding heat calculation rule comprises:
respectively calculating the average value of the preset information of each data table in the first preset period, and extracting the maximum average value of the preset information; and
and dividing the average value of the preset information of each data table by the maximum average value of the preset information to generate the importance of the preset information of each data table.
4. The method of claim 1, wherein the browsing information comprises browsing information comprising browsing times and browsing duration.
5. The method of claim 1, wherein if the predetermined information is browsing information, the corresponding heat calculation rule comprises:
respectively calculating the average value of the browsing times of each data table in the first preset period, and extracting the maximum average value of the browsing times; dividing the average value of the browsing times of each data table by the maximum average value of the browsing times to generate a first browsing importance degree of each data table;
respectively calculating the average value of the browsing duration of each data table in the first preset period, and extracting the maximum average value of the browsing duration; dividing the average value of the browsing duration of each data table by the maximum average value of the browsing duration to generate a second browsing importance degree of each data table;
and performing weighted calculation on the first browsing importance and the second browsing importance of each data table based on a second preset weight rule to generate the importance of the browsing information of each data table.
6. A method of sorting a data table, comprising:
acquiring preset information of each data table in each first preset period;
respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and a corresponding heat calculation rule;
respectively performing time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule to generate the importance of each preset information of each data table;
based on a first preset weight rule, respectively carrying out weighted calculation on the importance of each preset information of the same data table to generate the importance of each data table;
sorting the data tables based on the importance of each data table;
and displaying each sorted data table.
7. A data table sorting apparatus, comprising:
the acquisition module is used for acquiring each preset information of each data table in a first preset period;
the first importance calculating module is used for calculating the importance of each preset information of each data table according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table;
the sorting module is used for sorting the data tables based on the importance of each data table;
and the display module is used for displaying each sorted data table.
8. A data table sorting apparatus, comprising:
the acquisition module is used for acquiring each preset information of each data table in each first preset period;
the first importance calculating module is used for respectively calculating the importance of each preset information of each data table in each first preset period according to each preset information and the corresponding heat calculating rule;
the second importance calculation module is used for respectively carrying out time weighting on the importance of the same preset information of the same data table in each first preset period based on a preset time attenuation rule to generate the importance of each preset information of each data table;
the third importance calculation module is used for respectively performing weighted calculation on the importance of each preset information of the same data table based on a first preset weight rule to generate the importance of each data table;
the sorting module is used for sorting the data tables based on the importance of each data table;
and the display module is used for displaying each sorted data table.
9. An electronic device, characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by said processor and which executes the method according to any of the claims 1-6.
10. A computer-readable storage medium characterized by: a computer program which can be loaded into a processor and which executes a method according to any one of claims 1 to 6.
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