CN112685456A - User access data processing method and device and computer system - Google Patents
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Abstract
The application discloses a processing method, a processing device and a computer system of user access data, wherein the method comprises the steps of obtaining first access data, wherein the access data comprise a user code, an access date and a target dimension value; generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value; according to the method and the device, the target access record is generated according to the date code, the target dimension value corresponding to the date code and the user code, the access data of the user are combined according to the access date and the target dimension value, a plurality of original first access data are combined to generate the access record, the data volume of historical user data is greatly reduced, the data analysis efficiency is improved, new access data can be updated into the access record in a date code updating mode when new access data are generated subsequently, and the subsequent maintenance efficiency is guaranteed.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a method, an apparatus, and a computer system for processing user access data.
Background
With the development of data analysis technology, the user behavior data index can play a critical role in the decision and operation of enterprises. And in order to collect and analyze the user behavior data indexes, the incremental data needs to be compared with historical associated data. However, historical user behavior data is often unprocessed and stored in different partitions. Therefore, when the extraction of the historical associated data is required each time, corresponding user behavior data needs to be extracted from each partition, and then the historical associated data is generated through processing. The number of the journal domain details in the partition is huge, so that a large amount of IO resources are consumed during reading; and a large amount of CPU computing resources are consumed in the data processing process, which is long in time consumption.
Disclosure of Invention
In order to solve the defects of the prior art, a primary object of the present invention is to provide a method, an apparatus and a computer system for processing user access data, so as to solve the above problems of the prior art.
In order to achieve the above object, the present invention provides, in a first aspect, a method for processing user access data, where the method includes:
acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
and generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
In some embodiments, the generating, according to an access date corresponding to the first access data with the user code being the same as the target dimension value, a corresponding date code includes:
generating an initial code comprising code bits for recording code values;
acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date;
determining a coding bit corresponding to each acquired access date according to the sequence corresponding to the acquired access dates;
setting the coding value of the corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value;
and determining the set initial code as a corresponding date code.
In some embodiments, the method comprises:
acquiring second access data;
determining a target access record containing a target dimension value and a user code included in the second access data as a target access record corresponding to the second access data;
generating an updated date code according to the access date corresponding to the second access data and the date code corresponding to the corresponding target access record;
and updating the date code corresponding to the corresponding target access record into the updated date code.
In some embodiments, the obtaining first access data comprises:
acquiring user original access data from a data table to be processed;
and generating first access data according to the user code, the access date and the target dimension value corresponding to the target dimension included in the user original access data.
In some embodiments, the date code is a binary code.
In some embodiments, the method comprises:
counting the number of second code values contained in each date code to generate a first statistical value;
counting the number of continuous second code values contained in each date code to generate a second statistical value;
and visually displaying the first statistical value and the second statistical value.
In a second aspect, the present application provides an apparatus for processing user access data, the apparatus comprising:
the acquisition module is used for acquiring first access data, and the access data comprises a user code, an access date and a target dimension value;
the encoding module is used for generating a corresponding date code according to an access date corresponding to the first access data with the same user code and the same target dimension value;
and the generation module is used for generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
In some embodiments, the encoding module is further operable to generate an initial encoding comprising encoding bits for recording encoding values; acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date; determining a coding bit corresponding to each acquired access date according to the corresponding sequence of each access date; setting the coding value of each corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value; and determining the set initial code as a corresponding date code.
In some embodiments, the device further comprises a counting module and a display module, wherein the counting module is used for counting the number of the second code values contained in each date code to generate a first statistical value; counting the number of continuous second code values contained in each date code to generate a second statistical value; the display module is used for visually displaying the first statistical value and the second statistical value.
In a third aspect, the present application provides a computer system comprising:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
and generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
The invention has the following beneficial effects:
the application provides a processing method of user access data, which comprises the steps of obtaining first access data, wherein the access data comprise a user code, an access date and a target dimension value; generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value; according to the date code, the target dimension value corresponding to the date code and the user code, a target access record is generated, the access data of the user are combined according to the access date and the target dimension value, a plurality of original first access data are combined to generate the access record, the data volume of historical user data is greatly reduced, the analysis efficiency of the data is improved, new access data can be updated into the access record in a date code updating mode when new access data are subsequently generated, and the subsequent maintenance efficiency is guaranteed;
further, the present application also proposes that acquiring the first access data includes: acquiring user original access data from a data table to be processed; according to the method and the device, the first access data are generated according to the user codes, the access dates and the target dimension values corresponding to the target dimensions, which are included in the user original access data.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a data processing flow provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method provided by an embodiment of the present application;
FIG. 3 is a block diagram of an apparatus according to an embodiment of the present disclosure;
fig. 4 is a computer system structure diagram provided in the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As described in the background art, in the prior art, historical behavior data of a user is often stored in data partitions without being processed, and when reading, corresponding original user behavior data needs to be extracted from each partition and processed, which consumes not only read-write resources, but also a large amount of CPU computing resources.
In order to solve the technical problems, the application provides a processing method of user access data, the access data of a user are combined according to an access date and a target dimension value, a plurality of original first access data are combined to generate an access record, the data volume of historical user data is greatly reduced, and the analysis efficiency of the data is improved.
Example one
Specifically, as shown in fig. 1, the process of performing data processing by using the method includes:
step one, screening and acquiring corresponding access data from a data table to be processed according to a preset screening rule.
Table 1 shows an exemplary table of data to be processed, including dimension values, membership codes, and browsing dates corresponding to the dimensions A-E, respectively. Illustratively, when the filtering rule specifies that the dimension value and the member code and browsing date respectively corresponding to the dimension A, B, C need to be obtained, the obtained access data is shown in table 2. The screening rules may be determined according to specific business requirements.
TABLE 1
| Dimension A | Dimension B | Dimension C | Dimension D | Dimension E | Member code | Date of browsing | |
| A01 | B001 | C000001 | DMM | ERP | 100001 | 20190701 | |
| A01 | B001 | C000001 | DMM | ERP | 100001 | 20190702 | |
| A01 | B001 | C000001 | DMM | ERP | 100001 | 20190703 | |
| A02 | B001 | C000001 | DMM | ERP | 100001 | 20190701 | |
| A01 | B002 | C000001 | DMM | ELL | 100001 | 20190702 | |
| A01 | B002 | | DNN | ELL | 100002 | 20190701 | |
| A01 | B002 | | DNN | ELL | 100002 | 20190704 | |
| AA01 | B002 | | DNN | ELL | 100002 | 20190707 | |
| A01 | B002 | | DNN | EPP | 100002 | 20190705 | |
| A01 | B002 | C000001 | DQQ | ECB | 100001 | 20190702 | |
| A01 | B001 | C000001 | D00 | EQA | 100001 | 20190702 |
TABLE 2
| Dimension A | Dimension B | Dimension C | Member code | Date of browsing | |
| A01 | B001 | C000001 | 100001 | 20190701 | |
| A01 | B001 | C000001 | 100001 | 20190702 | |
| A01 | B001 | C000001 | 100001 | 20190703 | |
| A02 | B001 | C000001 | 100001 | 20190701 | |
| A01 | B002 | C000001 | 100001 | 20190702 | |
| | B002 | C000003 | 100002 | 20190701 | |
| | B002 | C000003 | 100002 | 20190704 | |
| | B002 | C000003 | 100002 | 20190707 | |
| | B002 | C000003 | 100002 | 20190705 |
Step two, merging the access data with the same user code and the same target dimension value of each dimension; table 3 shows the intermediate table after merging, where the browsing date field in each data row after merging is generated in the form of ARRAY < string >, the target dimension value and member code are primary keys, and the corresponding browsing date is an ARRAY element. Specifically, each browsing date field in the array may be processed into an ordered list form through a corresponding array sorting function.
TABLE 3
| Dimension A | Dimension B | Dimension C | Member code | Date of browsing | |
| A01 | B001 | C000001 | 100001 | 20190701，20190702，20190703 | |
| A02 | B001 | C000001 | 100001 | 20190701 | |
| A01 | B002 | C000001 | 100001 | 20190702 | |
| | B002 | C000003 | 100002 | 20190701，20190704，20190705，20190707 |
Converting the browsing date contained in each data line into a coding value according to a preset conversion logic;
in particular, the encoded value may be binary. The latest date and the earliest date can be determined according to the ordered browsing dates, and the number of bits required to be contained in the code value can be determined according to the earliest date and the latest spaced days. And then determining the coding bit corresponding to each browsing date according to the bit number required to be contained and the sequence corresponding to each browsing date. When a corresponding browsing date exists in the coded bit, the value of the corresponding coded bit is set to 1, and when not existing, the value of the corresponding coded bit is set to 0, as shown in the browsing record column of table 4.
And generating a target access record according to the generated code value, the dimension value and the member code. As shown in table 4, all the target access records constitute an access record table.
TABLE 4
| Dimension A | Dimension B | Dimension C | Member code | Browsing records | |
| A01 | B001 | C000001 | 100001 | 1110000 | |
| A02 | B001 | C000001 | 100001 | 1000000 | |
| A01 | B002 | C000001 | 100001 | 1000000 | |
| | B002 | C000003 | 100002 | 1001101 |
Specifically, in order to further reduce the data amount and improve the read-write efficiency of the data, each dimension value may be converted into a binary code, or all the dimension values included in each row of the target access record may be used as a dimension combination, the dimension combination is converted into a corresponding binary code, and the corresponding relationship between each dimension combination and the binary code is stored.
And step five, when newly added access data are generated, determining a corresponding target access record according to the member code and the dimension value contained in the newly added access data.
Step six, generating an updated code value according to the code value contained in the target access record and the browsing date contained in the newly-added access record and storing the updated code value into the target access record;
specifically, the number of bits that the code value needs to be moved can be determined according to the number of days that the newly added browsing date is different from the latest day in the code value. For example, 1110000 in the browsing record represents the access records 20190701 to 20190707, and when the newly added browsing date is 20190801, the number of days of the latest one-day interval corresponding to the newly added browsing date and the browsing record exceeds the number of bits of the browsing record, the code value of the target access record is directly updated to 0000001; when the new browsing date is 20190709, the code value is shifted forward by 2 bits, and the updated code value is 1000001.
Step seven, generating a statistic value according to the target access record;
specifically, statistics such as the number of 1 s included in the encoded value, the number of consecutive 1 s, and the number of consecutive occurrences may be counted and visually displayed, so that an analyst may perform corresponding analysis.
Example two
Corresponding to the foregoing embodiment, the present application provides a method for processing user access data, as shown in fig. 2, the method includes:
210. acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
preferably, the acquiring the first access data includes:
211. acquiring user original access data from a data table to be processed;
212. and generating first access data according to the user code, the access date and the target dimension value corresponding to the target dimension included in the user original access data.
220. Generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
preferably, the generating, according to an access date corresponding to the first access data in which the user code is the same as the target dimension value, a corresponding date code includes:
221. generating an initial code comprising code bits for recording code values;
222. acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date;
223. determining a coding bit corresponding to each acquired access date according to the sequence corresponding to the acquired access dates;
224. setting the coding value of the corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value;
225. and determining the set initial code as a corresponding date code.
230. And generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
Preferably, the method comprises:
240. acquiring second access data;
241. determining a target access record containing a target dimension value and a user code included in the second access data as a target access record corresponding to the second access data;
242. generating an updated date code according to the access date corresponding to the second access data and the date code corresponding to the corresponding target access record;
243. and updating the date code corresponding to the corresponding target access record into the updated date code.
Preferably, the date code is a binary code.
Preferably, the method comprises:
250. counting the number of second code values contained in each date code to generate a first statistical value;
251. counting the number of continuous second code values contained in each date code to generate a second statistical value;
253. and visually displaying the first statistical value and the second statistical value.
EXAMPLE III
Corresponding to the above embodiments, the present application provides a processing apparatus for a user to access data, as shown in fig. 3, the apparatus includes:
an obtaining module 310, configured to obtain first access data, where the access data includes a user code, an access date, and a target dimension value;
the encoding module 320 is configured to generate a corresponding date code according to an access date corresponding to first access data in which the user code and the target dimension value are the same;
and the generating module 330 is configured to generate a target access record according to the date code, the target dimension value corresponding to the date code, and the user code.
Preferably, the encoding module 320 is further configured to generate an initial encoding, which includes encoding bits for recording encoding values; acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date; determining a coding bit corresponding to each acquired access date according to the corresponding sequence of each access date; setting the coding value of each corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value; and determining the set initial code as a corresponding date code.
Preferably, the device further comprises a counting module and a display module, wherein the counting module is used for counting the number of the second code values contained in each date code to generate a first statistical value; counting the number of continuous second code values contained in each date code to generate a second statistical value; the display module is used for visually displaying the first statistical value and the second statistical value.
Preferably, the obtaining module 310 is further configured to obtain second access data; the encoding module 320 may be further configured to determine that a target access record including the target dimension value included in the second access data and the user code is a target access record corresponding to the second access data; generating an updated date code according to the access date corresponding to the second access data and the date code corresponding to the corresponding target access record; and updating the date code corresponding to the corresponding target access record into the updated date code.
Preferably, the obtaining module 310 is further configured to obtain user original access data from the to-be-processed data table; and generating first access data according to the user code, the access date and the target dimension value corresponding to the target dimension included in the user original access data.
Example four
Corresponding to the above method, device and system, an embodiment of the present application provides a computer system, including: one or more processors; and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
and generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
Fig. 4 illustrates an architecture of a computer system, which may include, in particular, a processor 1510, a video display adapter 1511, a disk drive 1512, an input/output interface 1513, a network interface 1514, and a memory 1520. The processor 1510, video display adapter 1511, disk drive 1512, input/output interface 1513, network interface 1514, and memory 1520 may be communicatively coupled via a communication bus 1530.
The processor 1510 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided by the present Application.
The Memory 1520 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1520 may store an operating system 1521 for controlling the operation of the computer system 1500, a Basic Input Output System (BIOS)1522 for controlling low-level operations of the computer system 1500. In addition, a web browser 1523, a data storage management 1524, an icon font processing system 1525, and the like may also be stored. The icon font processing system 1525 may be an application program that implements the operations of the foregoing steps in this embodiment of the application. In summary, when the technical solution provided by the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1520 and called for execution by the processor 1510. The input/output interface 1513 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The network interface 1514 is used to connect a communication module (not shown) to enable the device to communicatively interact with other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
The bus 1530 includes a path to transfer information between the various components of the device, such as the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, and the memory 1520.
In addition, the computer system 1500 may also obtain information of specific extraction conditions from the virtual resource object extraction condition information database 1541 for performing condition judgment, and the like.
It should be noted that although the above devices only show the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, the memory 1520, the bus 1530, etc., in a specific implementation, the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a cloud server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for processing user access data, the method comprising:
acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
and generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
2. The method of claim 1, wherein generating a corresponding date code according to the access date corresponding to the first access data with the user code being the same as the target dimension value comprises:
generating an initial code comprising code bits for recording code values;
acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date;
determining a coding bit corresponding to each acquired access date according to the sequence corresponding to the acquired access dates;
setting the coding value of the corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value;
and determining the set initial code as a corresponding date code.
3. The method of claim 2, wherein the method comprises:
acquiring second access data;
determining a target access record containing a target dimension value and a user code included in the second access data as a target access record corresponding to the second access data;
generating an updated date code according to the access date corresponding to the second access data and the date code corresponding to the corresponding target access record;
and updating the date code corresponding to the corresponding target access record into the updated date code.
4. The method of any of claims 1-3, wherein obtaining the first access data comprises:
acquiring user original access data from a data table to be processed;
and generating first access data according to the user code, the access date and the target dimension value corresponding to the target dimension included in the user original access data.
5. The method of any of claims 1-3, wherein the date code is a binary code.
6. A method according to claim 2 or 3, characterized in that the method comprises:
counting the number of second code values contained in each date code to generate a first statistical value;
counting the number of continuous second code values contained in each date code to generate a second statistical value;
and visually displaying the first statistical value and the second statistical value.
7. A processing apparatus for accessing data by a user, the apparatus comprising:
the acquisition module is used for acquiring first access data, and the access data comprises a user code, an access date and a target dimension value;
the encoding module is used for generating a corresponding date code according to an access date corresponding to the first access data with the same user code and the same target dimension value;
and the generation module is used for generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
8. The apparatus of claim 7, wherein the encoding module is further operable to generate an initial encoding comprising encoding bits for recording encoding values; acquiring access dates corresponding to first access data with the same user code and target dimension values, sequencing the access dates, and determining the sequencing corresponding to each acquired access date; determining a coding bit corresponding to each acquired access date according to the corresponding sequence of each access date; setting the coding value of each corresponding coding bit included in the initial coding to be a second coding value, and setting the coding value corresponding to each coding bit except the corresponding coding bit to be a first coding value; and determining the set initial code as a corresponding date code.
9. The apparatus according to claim 8, further comprising a statistics module and a display module, wherein the statistics module is configured to count the number of the second code values included in each of the date codes to generate a first statistic value; counting the number of continuous second code values contained in each date code to generate a second statistical value; the display module is used for visually displaying the first statistical value and the second statistical value.
10. A computer system, the system comprising:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring first access data, wherein the access data comprise a user code, an access date and a target dimension value;
generating a corresponding date code according to the access date corresponding to the first access data with the same user code and the same target dimension value;
and generating a target access record according to the date code, the target dimension value corresponding to the date code and the user code.
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| CN116821139A (en) * | 2023-08-25 | 2023-09-29 | 南方电网数字电网研究院有限公司 | Mixed load method and system for partition table design based on distributed database |
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| CN116821139B (en) * | 2023-08-25 | 2024-01-23 | 南方电网数字电网研究院有限公司 | Mixed load method and system for partition table design based on distributed database |
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