CN117009453B - Method and system for inquiring customer group list of customers in real time through digital marketing - Google Patents
Method and system for inquiring customer group list of customers in real time through digital marketing Download PDFInfo
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- 230000003068 static effect Effects 0.000 claims abstract description 62
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 230000000694 effects Effects 0.000 claims description 13
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/319—Inverted lists
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a method and a system for inquiring a customer group list of a customer in real time through digital marketing in the technical field of big data processing, which comprises the following steps: the method comprises the steps of obtaining guest group information and storing the guest group information in a ClickHouse, wherein guest group list data in the guest group information are stored in a bitmap form; constructing a static inverted index and an initial dynamic inverted index based on the guest group information, and storing the static inverted index and the initial dynamic inverted index in an ES database, wherein the static inverted index and the initial dynamic inverted index contain mapping relation information of a guest identifier and a guest group list; storing a static inverted index or an initial dynamic inverted index corresponding to the frequently queried client identifier into redis for data caching; the customer identification to be queried is obtained, and the customer group list corresponding to the customer identification to be queried is queried in the ES database or redis, so that the problem that the existing user cannot effectively query the customer group list of the user under high concurrency is solved.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to a method and a system for digitally marketing and inquiring a customer group list of a customer in real time.
Background
In an activity scene, some guest groups are often selected as target guest groups to participate in an activity; when a client enters an activity page through a service APP, the client needs to query a client group list in real time to match with a client group with participation qualification of an activity. The existing scheme is that a database is used for storing all the customer group data, when a customer list where a customer is located needs to be queried, the customer ID is used for querying the customer group database, and then the customer group list in the query result is returned.
However, for some seconds of the activity killing scene, since the concurrency of the client entering the activity page at the same time is high, the existing database query scheme cannot support high concurrency, and thus cannot quickly respond in real time if the client is qualified to participate in the activity.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a system for digitally marketing and inquiring a customer group list of a customer in real time, which solve the problem that the existing user cannot effectively inquire the customer group list of the user under high concurrency.
In order to solve the technical problems, the invention is solved by the following technical scheme:
a method for digitally marketing a real-time query of a customer base list of customers, comprising the steps of:
obtaining guest group information and storing the guest group information in a ClickHouse in a bitmap form;
constructing a static inverted index and an initial dynamic inverted index based on the guest group information, and storing the static inverted index and the initial dynamic inverted index in an ES database, wherein the static inverted index and the initial dynamic inverted index contain mapping relation information of a guest identifier and a guest group list;
storing a static inverted index or an initial dynamic inverted index corresponding to the frequently queried client identifier into redis for data caching;
and obtaining a customer identifier to be queried, and querying a customer group list corresponding to the customer identifier to be queried in the ES database or redis.
Optionally, constructing the static inverted index includes the following steps:
setting a plurality of static query dimensions based on the activity scene requirements;
and taking IDs of a plurality of different static query dimensions as document IDs of an ES database, and storing a group list corresponding to the IDs of the plurality of different static query dimensions as an array field to obtain a static inverted index.
Optionally, constructing an initial dynamic inverted index includes the steps of:
setting a plurality of dynamic query dimensions based on the activity scene requirements;
and taking IDs of a plurality of different dynamic query dimensions as document IDs of an ES database, and storing a group list corresponding to the IDs of the plurality of different dynamic query dimensions as an array field to obtain an initial dynamic inverted index.
Optionally, the method further comprises updating the static inverted index, and specifically comprises the following steps:
obtaining guest group update information, and inquiring a client identifier of the static inverted index based on the guest group update information, wherein the guest group update information comprises newly added guest groups and deleted guest groups;
if the static inverted index inquires the client identifier corresponding to the client group updating information, deleting the client group ID in the client group list under the client identifier corresponding to the client group updating information;
and if the static inverted index does not inquire the client identifier corresponding to the guest group updating information, the static inverted index corresponding to the guest group list under the guest group updating information is newly added.
Optionally, the method further comprises updating the initial dynamic reverse index, specifically comprising the following steps:
and obtaining the guest group updating information, and incrementally updating the initial dynamic inverted index based on the guest group updating information.
Optionally, the updating of the initial dynamic inverted index is a real-time dynamic updating.
A system for inquiring a customer group list of a customer in real time through digital marketing comprises a first storage unit, an index construction unit, a second storage unit and an inquiring unit;
the first storage unit is used for acquiring the guest group information and storing the guest group information in a ClickHouse, wherein guest group list data in the guest group information are stored in a bitmap form;
the index construction unit is used for constructing a static inverted index and an initial dynamic inverted index based on the guest group information and storing the static inverted index and the initial dynamic inverted index in an ES database, wherein the static inverted index and the initial dynamic inverted index contain mapping relation information of a client identifier and a guest group list;
the second storage unit stores the static inverted index or the initial dynamic inverted index corresponding to the frequently queried client identification into redis for data caching;
the query unit obtains the client identification to be queried, and queries a client group list corresponding to the client identification to be queried in the ES database or redis.
A computer readable storage medium storing a computer program which, when executed by a processor, implements the method of digitally marketing a real-time query customer base list of any one of the above.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
the guest group information is divided into the static inverted index and the initial dynamic inverted index to distinguish the guest groups which are frequently inquired, so that under high concurrency, the guest groups can be inquired through the static inverted index and the initial dynamic inverted index, and on the other hand, when updating is carried out, the initial dynamic inverted index can be fully updated so as to adapt to the characteristic that the inverted index needs to be frequently updated under the period of dynamic guest group updating.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a diagram showing an inverted index storage structure according to a first embodiment;
FIG. 2 is a flowchart of a method for modifying, adding and deleting a guest group according to the first embodiment;
fig. 3 is a flowchart of a customer base list query according to the present embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following examples, which are illustrative of the present invention and are not intended to limit the present invention thereto.
Example 1
The marketing activity can select any plurality of guest groups under guest group management as participation qualification guest groups, wherein the guest groups under guest group management comprise static guest groups and dynamic guest groups, guest group information corresponding to the static guest groups and the dynamic guest groups comprises guest group ID and guest group list data, which support real-time new deletion, and the guest group list data are stored in a ClickHouse by using a Roaring bitmap, wherein the guest list in the static guest groups supports guest group operations such as importing, single new building or label searching and saving, and supports guest group operations such as adding, deleting and covering lists on the basis of the existing guest groups; the dynamic guest group is a guest group inquired through label exploration condition combination, and the client list data is updated through T+1 dynamic inquiry every day.
In order to support high concurrency real-time queries, real-time pre-computation needs to be considered to store the mapping relationship between clients and the guest group list in an elastic search database, and data buffering is performed on frequently queried clients through Redis, for example: the customer-to-group relationship needs to be structured as an inverted index, as in 100100100 (customer number): group ID1, group ID2, group ID3.
On the other hand, since the dynamic guest group is updated as a whole every day, the update frequency of the static guest group is generally low, and therefore, the static guest group and the dynamic guest group are considered to be separated for pre-calculation, so that the performance loss caused by mass update of the dynamic guest group is reduced, and in order to avoid the problem that the dynamic group is inconsistent in change due to the fact that an operator performs change operations such as static group introduction during update, the inverted index needs to be divided into a static group inverted index and a dynamic inverted index.
Further, the reverse index storage structure design method comprises the following steps: firstly, inquiring a group list of a client under the dimension information according to the dimension requirements of a marketing activity inquiring scene, such as the client number, the mobile phone number, the equipment number and the like of the client, taking IDs of different dimensions as document IDs of the ES, and taking the group list corresponding to the IDs as an array field for storage, wherein the dimension IDs are adopted as the document IDs to facilitate retrieval, a horse can be positioned to the fragments of the ES according to the IDs, and the inquiry speed is increased without traversing all the fragments to inquire the document IDs.
On the other hand, since the generation rules of the client number and the mobile phone number or other dimensions may be consistent, the client number and the mobile phone number are consistent, and different dimension IDs need to be distinguished, and a plurality of different ES indexes are established to store inverted indexes of different dimensions respectively, so that when querying, corresponding index names are queried according to different dimensions, for example, the inverted index names under static guest groups are as follows: index_cure_id_static; index name of client mobile phone number index; index name of client device number index; the reverse index name rule under dynamic guest group is as follows: index name of client number index index_cure_id_dyn; index name of client mobile phone number index name index_cure_iphone_dyn; index name of client device number, namely index_cure_device_dyn, namely index_cure is used as index prefix, dimension codes of client number, mobile phone number, device number and the like are spliced according to underline, static is spliced, dynamic is spliced.
It should be noted that, the static inverted index is mainly created for a static group, three ES indexes are initialized in advance before the system is online, including a client number static inverted index, a mobile phone number static inverted index, and a device number static inverted index, the index Mapping stores only one field groupIds, represents a client group id list to which the client belongs, uses a client dimension (client number, mobile phone number, device number) as an id of a document, not only reduces a storage space, but also directly obtains and improves a query speed according to dimension information through the inverted index.
Wherein, the index structures of three different dimensions of the static group are shown in the following tables 1 to 3:
table 1: client serial number index: index_cure_device_static
Table 2: customer number index: index_cure_id_static
Table 3: customer mobile phone number index: index_cure_iphone_static
The dynamic reverse index is formed by returning a bin by T+1, wherein a field of the bin comprises a group ID and a group SQL search statement, processing the dynamic group client details to an ads temporary table by SQL query, generating a reverse index by grouping the temporary table, and distinguishing the dynamic group reverse index from a static reverse index structure by using different ES to avoid the problem of inconsistent data caused by updating static and dynamic in different time periods, wherein the dynamic reverse index structure is shown in the following tables 4 to 6:
table 4: customer number index: index_cure_id_dyn
Table 5: cell phone number index: index_cure_iphone_dyn
Table 6: device index: index_cure_device_dyn
As shown in fig. 1, the action of triggering the inverted index update in real time includes the following cases: newly added static guest group, static guest group member update (newly added client, deleted client), newly added dynamic guest group, dynamic guest group member update (daily run-out); the dynamic group member updates in the above 4 cases are covered by the full index by the data ETL, and all three cases trigger the update of the inverted index.
Specifically, as shown in fig. 2, when a guest group generates a guest group member modifying operation, the operation is converted into a new adding and deleting action, specifically, the modification of a guest group is actually the modification of the bitmap of the guest group, and the bitmap before modification and the bitmap after modification are intersected to obtain the bitmap to be deleted and the bitmap to be added.
When the guest group is newly added, a batch of clients are generated, wherein the batch of client data comprises bitmap data under different query dimensions, such as a client number bitmap, a mobile phone number bitmap and a device number bitmap (numerical data generation adopted by a device number), then an interface receives a type determination index transmitted by the method, batches are carried out according to the bitmap size (for example, 5W is used as a batch), then batch operation tasks are written into a database, corresponding states are recorded, and subtasks are sent to an MQ for downstream consumption, so that distributed processing is realized.
When the downstream consumption processing receives the task message, updating the current task state into processing, acquiring batch bitmap data according to the batch of the task message, and splicing the script and the upssert of the elastic search into corresponding script statements; when the operation is newly added, script statement logic comprises judging whether the document ID exists in the elastic search, if not, the script statement logic is newly added, and meanwhile, judging whether the current guest group ID exists in a group field or not, and if not, adding; when deleting, the script statement logic comprises judging whether the document ID exists in the elastic search or not, judging whether the current guest group ID exists in the group list field or not at the same time, deleting if the current guest group ID exists, finally assembling the script statement into an ES update object, and updating the object in batches by a bulk method.
As shown in fig. 3, when the customer group list is queried, corresponding inverted indexes are stored according to different dimensions of the customer, when the group list of the cell phone is queried according to the cell phone number dimension of the customer, whether a redis cache exists is queried first, if not, a static index (index_cure_iphone_static) of the cell phone number in the ES and a dynamic index (index_cure_iphone_dyn) of the cell phone number of the customer are queried according to the customer identification. And merging the inquired group list to obtain a guest group list under the client identifier, caching the result to the redis, and taking the value as the guest group list according to the unique client identifier ID as a key of the redis.
Example 2
A computer readable storage medium storing a computer program which when executed by a processor implements the method of digitally marketing a real-time query guest group list of a customer of any one of embodiments.
More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and the division of modules, or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units, modules, or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed.
The units may or may not be physically separate, and the components shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU). It should be noted that the computer readable medium described in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A method for digitally marketing a real-time query of a customer base list of customers, comprising the steps of:
obtaining guest group information and storing the guest group information in a ClickHouse, wherein guest group list data in the guest group information is stored in a bitmap form;
constructing a static inverted index and an initial dynamic inverted index based on the guest group information, and storing the static inverted index and the initial dynamic inverted index in an ES database, wherein the static inverted index and the initial dynamic inverted index contain mapping relation information of a guest identifier and a guest group list;
the static inverted index is constructed, which comprises the following steps: setting a plurality of static query dimensions based on the activity scene requirements; taking IDs of a plurality of different static query dimensions as document IDs of an ES database, and storing a group list corresponding to the IDs of the different static query dimensions as an array field to obtain a static inverted index;
constructing an initial dynamic inverted index, comprising the following steps: setting a plurality of dynamic query dimensions based on the activity scene requirements; taking IDs of a plurality of different dynamic query dimensions as document IDs of an ES database, and storing a group list corresponding to the IDs of the different dynamic query dimensions as an array field to obtain an initial dynamic inverted index;
storing a static inverted index or an initial dynamic inverted index corresponding to the frequently queried client identifier into redis for data caching;
and obtaining a customer identifier to be queried, and querying a customer group list corresponding to the customer identifier to be queried in the ES database or redis.
2. The method of claim 1, further comprising updating the static inverted index, and further comprising the steps of:
obtaining guest group update information, and inquiring a client identifier of the static inverted index based on the guest group update information, wherein the guest group update information comprises newly added guest groups and deleted guest groups;
if the static inverted index inquires the client identifier corresponding to the client group updating information, deleting the client group ID in the client group list under the client identifier corresponding to the client group updating information;
and if the static inverted index does not inquire the client identifier corresponding to the guest group updating information, the static inverted index corresponding to the guest group list under the guest group updating information is newly added.
3. The method of claim 1, further comprising updating the initial dynamic inverted index, and further comprising the steps of:
and obtaining the guest group updating information, and incrementally updating the initial dynamic inverted index based on the guest group updating information.
4. The method of claim 3, wherein the updating of the initial dynamic inverted index is a real-time dynamic update.
5. A system for digitally marketing a real-time query of a customer base list of customers, wherein the system for digitally marketing a real-time query of a customer base list of customers performs the method for digitally marketing a real-time query of a customer base list of customers according to any one of claims 1-4, comprising a first storage unit, an index construction unit, a second storage unit and a query unit;
the first storage unit is used for acquiring the guest group information and storing the guest group information in a ClickHouse, wherein guest group list data in the guest group information are stored in a bitmap form;
the index construction unit is used for constructing a static inverted index and an initial dynamic inverted index based on the guest group information and storing the static inverted index and the initial dynamic inverted index in an ES database, wherein the static inverted index and the initial dynamic inverted index contain mapping relation information of a client identifier and a guest group list;
the second storage unit stores the static inverted index or the initial dynamic inverted index corresponding to the frequently queried client identification into redis for data caching;
the query unit obtains the client identification to be queried, and queries a client group list corresponding to the client identification to be queried in the ES database or redis.
6. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of digitally marketing real-time querying a customer base list of customers of any of claims 1-4.
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