CN112559857A - Redis-based crowd pack application method and system, electronic device and storage medium - Google Patents
Redis-based crowd pack application method and system, electronic device and storage medium Download PDFInfo
- Publication number
- CN112559857A CN112559857A CN202011434351.5A CN202011434351A CN112559857A CN 112559857 A CN112559857 A CN 112559857A CN 202011434351 A CN202011434351 A CN 202011434351A CN 112559857 A CN112559857 A CN 112559857A
- Authority
- CN
- China
- Prior art keywords
- crowd
- redis
- packet
- pack
- file service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 238000004140 cleaning Methods 0.000 claims abstract description 13
- 239000000463 material Substances 0.000 claims abstract description 12
- 238000013524 data verification Methods 0.000 claims abstract description 9
- 238000004590 computer program Methods 0.000 claims description 11
- 238000012358 sourcing Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000013467 fragmentation Methods 0.000 description 2
- 238000006062 fragmentation reaction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001934 delay Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000010076 replication Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention provides a crowd packet application method, a crowd packet application system, electronic equipment and a storage medium based on Redis, wherein the technical scheme of the method comprises the steps of Redis configuration, building a Redis cluster, configuring a memory according to the user quantity of a crowd packet, and building a crowd packet file service; a crowd packet preprocessing step, namely importing the crowd packet through the crowd packet file service, performing data verification and cleaning on data of the crowd packet by using the crowd packet file service, storing the data to a region to be processed and generating an identifier of the crowd packet; and recommending and putting, namely matching and starting the crowd packet in the Redis cluster according to the identifier of the crowd packet through a recommending system, and putting directional materials according to the crowd packet. The invention solves the problem of directional regular material delivery for millions of crowd bags.
Description
Technical Field
The invention belongs to the field of intelligent recommendation, and particularly relates to a crowd pack application method and system based on Redis, electronic equipment and a storage medium.
Background
With the rapid development of the internet, various internet products are produced, the user quantity of the products is the fundamental embodiment of the value of a company, hundreds of millions of data from different user products continuously enter each product line every day, in order to enable the data to bring better user experience for users and create more value for the company, the demand of each large company on intelligent recommended products is more and more urgent, various user release demands exist in a recommendation system, such as incremental data directional and mixed release for specific population users, in the release processes, the release of some huge APPs needs to ensure the characteristics of high QPS and low delays, the demand relates to the fact that the user quantity can reach the huge amount, and the interface delay is rapidly increased by using conventional files and text regular matching, and the problem of delay and data misalignment also occur in the update of crowd packets with large data volumes, so that a scheme for crowd-oriented delivery and crowd update of millions of users needs to be provided.
Disclosure of Invention
The embodiment of the application provides a crowd packet application method, a crowd packet application system, electronic equipment and a storage medium based on Redis, and at least solves the problem that the existing crowd packet application method cannot adapt to a crowd packet with large data volume.
In a first aspect, an embodiment of the present application provides a crowd package application method based on Redis, including: a Redis configuration step, namely building a Redis cluster, configuring a memory according to the user quantity of a crowd packet, and building a crowd packet file service; a crowd packet preprocessing step, namely importing the crowd packet through the crowd packet file service, performing data verification and cleaning on data of the crowd packet by using the crowd packet file service, storing the data to a region to be processed and generating an identifier of the crowd packet; and recommending and putting, namely matching and starting the crowd packet in the Redis cluster according to the identifier of the crowd packet through a recommending system, and putting directional materials according to the crowd packet.
Preferably, the method further comprises a crowd packet updating step: and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
Preferably, the crowd pack preprocessing step further comprises: and carrying out failure marking on the crowd packets failed to be imported, and identifying and cleaning the crowd packets failed to be imported through the crowd packet file service.
Preferably, the crowd pack preprocessing step further comprises: and (4) fragmentally importing the crowd pack by using a form of Pipline.
In a second aspect, an embodiment of the present application provides a system for applying a crowd package based on Redis, which is suitable for the method for applying a crowd package based on Redis, and includes: the Redis configuration unit is used for building a Redis cluster, configuring a memory according to the user quantity of a crowd packet and building a crowd packet file service; the crowd pack preprocessing unit is used for importing the crowd pack through the crowd pack file service, performing data verification and cleaning on data of the crowd pack by using the crowd pack file service, storing the data to a region to be processed and generating an identifier of the crowd pack; and the recommending and releasing unit is used for matching and starting the crowd packet in the Redis cluster according to the identification of the crowd packet through a recommending system and releasing directional materials according to the crowd packet.
In some embodiments, the system further comprises a crowd packet updating unit: and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
In some of these embodiments, the crowd packet preprocessing unit further comprises: and carrying out failure marking on the crowd packets failed to be imported, and identifying and cleaning the crowd packets failed to be imported through the crowd packet file service.
In some of these embodiments, the crowd packet preprocessing unit further comprises: and (4) fragmentally importing the crowd pack by using a form of Pipline.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor, when executing the computer program, implements a Redis-based crowd sourcing application method as described in the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for Redis-based crowd sourcing application as described in the first aspect above.
Compared with the prior art, the crowd packet application method based on Redis provided by the embodiment of the application solves the problem of delivering the material orientation rule to million crowd packets, reduces the delay of pushing the oriented crowd materials by real-time request, maintains the memory in a stable state according to the magnitude of a product user in an enterprise according to the magnitude of the user, reduces the matching time by using the characteristics of Redis, and simultaneously solves the problem of data error and data alignment possibly caused by the update of the million crowd packets in the update process, so that the accurate switching of the crowd packets can be comprehensively ensured.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a Redis-based crowd sourcing application method of the present invention;
FIG. 2 is a block diagram of a Redis-based crowd pack application system of the present invention;
FIG. 3 is a block diagram of an electronic device of the present invention;
in the above figures:
1. a Redis configuration unit; 2. a crowd packet preprocessing unit; 3. a recommended releasing unit; 4. a crowd packet updating unit; 60. a bus; 61. a processor; 62. a memory; 63. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Redis is a key-value storage system. Similar to Memcached, it supports relatively more stored value types, including string, list, set, zset, and hash. These data types all support push/pop, add/remove, and intersect union and difference, and richer operations, and these operations are all atomic. On this basis, redis supports various different ways of ordering. Like memcached, data is cached in memory to ensure efficiency. The difference is that the redis can periodically write updated data into a disk or write modification operation into an additional recording file, and master-slave synchronization is realized on the basis of the update.
Redis is a high-performance key-value database. The occurrence of redis greatly compensates the shortage of key/value storage such as memcached, and can play a good role in supplementing the relational database in some occasions. The method provides clients such as Java, C/C + +, C #, PHP, JavaScript, Perl, Object-C, Python, Ruby, Erlang and the like, and is convenient to use.
Redis supports master-slave synchronization. Data may be synchronized from a master server to any number of slave servers, which may be master servers associated with other slave servers. This enables Redis to perform single-level tree replication. The storage disk can write data intentionally or unintentionally. Due to the fact that the publish/subscribe mechanism is completely achieved, when the trees are synchronized anywhere from the database, one channel can be subscribed and the complete message publishing record of the main server can be received. Synchronization is helpful for scalability of read operations and data redundancy.
Embodiments of the invention are described in detail below with reference to the accompanying drawings:
fig. 1 is a flowchart of a crowd package application method based on Redis according to the present invention, and referring to fig. 1, the crowd package application method based on Redis according to the present invention includes the following steps:
s1: building a Redis cluster, configuring a memory according to the user quantity of a crowd packet, and building a crowd packet file service.
In specific implementation, a Redis cluster is built, required memory is evaluated according to the user quantity of a crowd package to be applied, and then a crowd package file service is built in the Redis cluster.
S2: and importing the crowd package through the crowd package file service, performing data verification and cleaning on data of the crowd package by using the crowd package file service, storing the data to a region to be processed and generating an identifier of the crowd package.
Optionally, the crowd package which fails to be imported is subjected to failure marking, and the crowd package which fails to be imported is identified and cleaned through the crowd package file service.
Optionally, the crowd package is fragmented and imported by using a form of Pipline.
S3: matching and starting the crowd package in the Redis cluster according to the identification of the crowd package through a recommendation system, and performing directional material delivery according to the crowd package.
S4: and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
In specific implementation, the data packet of the targeted crowd is imported through the crowd packet file service, and the file format can be csv or txt format with the file size smaller than 200M by taking the conventional million-level user quantity as an example. The file service performs data verification and cleaning on the data of the user, stores the data in a to-be-processed area for preliminary database dropping, and generates a unique identifier for the crowd packet.
In specific implementation, the file service performs timing scanning, and when finding a newly added crowd packet file task to be processed, reads the new crowd packet file task in a stream form, performs line-by-line processing on the crowd ID contained in the crowd packet file, and writes the crowd ID into the Redis cluster.
In the specific implementation, in the process of writing in Redis, single-row writing takes longer, in the embodiment of the application, the Pipline form fragmentation writing is used, in the specific implementation, 1 minute is consumed when the size of a single packet is 200M, and the writing time is greatly shortened.
In specific implementation, the file service monitors and records the writing state, and if the writing state fails, a failure mark is set for the task package; the file service regularly cleans the crowd packets marked as failure in the crowd packets in order to prevent the memory from increasing along with the use time, and maintains the memory occupied by the data in a relatively stable state.
In specific implementation, after the crowd package is imported and loaded, synchronizing the state of the crowd package to a recommendation engine of a recommendation system, and informing that the crowd package is started; the recommendation engine receives a user request, and obtains whether the crowd packet is hit or not by using the crowd ID of the user and the configured unique crowd packet identifier Redis so as to perform directional material delivery; in a specific implementation, with the characteristics of Redis, the above operation traverses the time consumption O (1), and the time for matching a large number of people is reduced as a whole.
In specific implementation, when the targeted crowd package needs to be updated, the steps are repeated to generate a new crowd package targeted file, and a recommendation engine is informed to perform quick switching.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment of the application provides a crowd packet application system based on Redis, and is suitable for the crowd packet application method based on Redis. As used below, the terms "unit," "module," and the like may implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of a system for applying a Redis-based crowd package according to the present invention, please refer to fig. 2, which includes:
redis configuration Unit 1: building a Redis cluster, configuring a memory according to the user quantity of a crowd packet, and building a crowd packet file service.
In specific implementation, a Redis cluster is built, required memory is evaluated according to the user quantity of a crowd package to be applied, and then a crowd package file service is built in the Redis cluster.
Crowd packet preprocessing unit 2: and importing the crowd package through the crowd package file service, performing data verification and cleaning on data of the crowd package by using the crowd package file service, storing the data to a region to be processed and generating an identifier of the crowd package.
Optionally, the crowd package which fails to be imported is subjected to failure marking, and the crowd package which fails to be imported is identified and cleaned through the crowd package file service.
Optionally, the crowd package is fragmented and imported by using a form of Pipline.
Recommendation delivery unit 3: matching and starting the crowd package in the Redis cluster according to the identification of the crowd package through a recommendation system, and performing directional material delivery according to the crowd package.
Crowd packet updating unit 4: and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
In specific implementation, the data packet of the targeted crowd is imported through the crowd packet file service, and the file format can be csv or txt format with the file size smaller than 200M by taking the conventional million-level user quantity as an example. The file service performs data verification and cleaning on the data of the user, stores the data in a to-be-processed area for preliminary database dropping, and generates a unique identifier for the crowd packet.
In specific implementation, the file service performs timing scanning, and when finding a newly added crowd packet file task to be processed, reads the new crowd packet file task in a stream form, performs line-by-line processing on the crowd ID contained in the crowd packet file, and writes the crowd ID into the Redis cluster.
In the specific implementation, in the process of writing in Redis, single-row writing takes longer, in the embodiment of the application, the Pipline form fragmentation writing is used, in the specific implementation, 1 minute is consumed when the size of a single packet is 200M, and the writing time is greatly shortened.
In specific implementation, the file service monitors and records the writing state, and if the writing state fails, a failure mark is set for the task package; the file service regularly cleans the crowd packets marked as failure in the crowd packets in order to prevent the memory from increasing along with the use time, and maintains the memory occupied by the data in a relatively stable state.
In specific implementation, after the crowd package is imported and loaded, synchronizing the state of the crowd package to a recommendation engine of a recommendation system, and informing that the crowd package is started; the recommendation engine receives a user request, and obtains whether the crowd packet is hit or not by using the crowd ID of the user and the configured unique crowd packet identifier Redis so as to perform directional material delivery; in a specific implementation, with the characteristics of Redis, the above operation traverses the time consumption O (1), and the time for matching a large number of people is reduced as a whole.
In specific implementation, when the targeted crowd package needs to be updated, the steps are repeated to generate a new crowd package targeted file, and a recommendation engine is informed to perform quick switching.
In addition, a Redis-based crowd sourcing application method described in connection with FIG. 1 may be implemented by an electronic device. Fig. 3 is a block diagram of an electronic device of the present invention.
The electronic device may comprise a processor 61 and a memory 62 in which computer program instructions are stored.
Specifically, the processor 61 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 62 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 61.
The processor 61 implements any of the Redis-based crowd sourcing application methods in the embodiments described above by reading and executing computer program instructions stored in the memory 62.
In some of these embodiments, the electronic device may also include a communication interface 63 and a bus 60. As shown in fig. 3, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 to complete communication therebetween.
The communication port 63 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 60 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 60 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 60 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 60 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device can execute the crowd package application method based on Redis in the embodiment of the application.
In addition, in combination with the people group application method based on Redis in the foregoing embodiments, embodiments of the present application may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the Redis-based crowd sourcing application methods in the above embodiments.
And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A crowd packet application method based on Redis is characterized by comprising the following steps:
a Redis configuration step, namely building a Redis cluster, configuring a memory according to the user quantity of a crowd packet, and building a crowd packet file service;
a crowd packet preprocessing step, namely importing the crowd packet through the crowd packet file service, performing data verification and cleaning on data of the crowd packet by using the crowd packet file service, storing the data to a region to be processed and generating an identifier of the crowd packet;
and recommending and putting, namely matching and starting the crowd packet in the Redis cluster according to the identifier of the crowd packet through a recommending system, and putting directional materials according to the crowd packet.
2. The Redis-based crowd pack application method of claim 1, further comprising a crowd pack update step of:
and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
3. The Redis-based crowd pack application method of claim 1, wherein the crowd pack preprocessing step further comprises: and carrying out failure marking on the crowd packets failed to be imported, and identifying and cleaning the crowd packets failed to be imported through the crowd packet file service.
4. The Redis-based crowd pack application method of claim 1, wherein the crowd pack preprocessing step further comprises: and (4) fragmentally importing the crowd pack by using a form of Pipline.
5. A system for crowd sourcing application based on Redis, comprising:
the Redis configuration unit is used for building a Redis cluster, configuring a memory according to the user quantity of a crowd packet and building a crowd packet file service;
the crowd pack preprocessing unit is used for importing the crowd pack through the crowd pack file service, performing data verification and cleaning on data of the crowd pack by using the crowd pack file service, storing the data to a region to be processed and generating an identifier of the crowd pack;
and the recommending and releasing unit is used for matching and starting the crowd packet in the Redis cluster according to the identification of the crowd packet through a recommending system and releasing directional materials according to the crowd packet.
6. The Redis-based crowd pack application system of claim 5, further comprising a crowd pack update unit to:
and monitoring the update of the crowd pack through the crowd pack file service, and sending an instruction to the recommendation engine for updating.
7. The Redis-based crowd package application system of claim 5, wherein the crowd package pre-processing unit further comprises: and carrying out failure marking on the crowd packets failed to be imported, and identifying and cleaning the crowd packets failed to be imported through the crowd packet file service.
8. The Redis-based crowd package application system of claim 5, wherein the crowd package pre-processing unit further comprises: and (4) fragmentally importing the crowd pack by using a form of Pipline.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements a Redis-based crowd sourcing application method as claimed in any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a Redis-based crowd sourcing application method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011434351.5A CN112559857A (en) | 2020-12-10 | 2020-12-10 | Redis-based crowd pack application method and system, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011434351.5A CN112559857A (en) | 2020-12-10 | 2020-12-10 | Redis-based crowd pack application method and system, electronic device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112559857A true CN112559857A (en) | 2021-03-26 |
Family
ID=75060178
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011434351.5A Pending CN112559857A (en) | 2020-12-10 | 2020-12-10 | Redis-based crowd pack application method and system, electronic device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112559857A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112948699A (en) * | 2021-04-14 | 2021-06-11 | 上海明略人工智能(集团)有限公司 | Crowd oriented recommendation method and system, electronic device and storage medium |
| CN113065075A (en) * | 2021-04-12 | 2021-07-02 | 北京明略昭辉科技有限公司 | Recommendation method and system based on mining crowd position attribute and electronic equipment |
| CN113590040A (en) * | 2021-07-29 | 2021-11-02 | 郑州阿帕斯数云信息科技有限公司 | Data processing method, device, equipment and storage medium |
| CN113722318A (en) * | 2021-07-23 | 2021-11-30 | 恩亿科(北京)数据科技有限公司 | Storage query method, system, device and medium for user-defined crowd package |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109871380A (en) * | 2019-01-14 | 2019-06-11 | 深圳市东信时代信息技术有限公司 | A kind of crowd's packet application method and system based on Redis |
| CN111292137A (en) * | 2020-03-10 | 2020-06-16 | 联通沃音乐文化有限公司 | Method for accurately delivering internet advertisements |
| CN111639061A (en) * | 2020-05-26 | 2020-09-08 | 深圳壹账通智能科技有限公司 | Data management method, device, medium and electronic equipment in Redis cluster |
-
2020
- 2020-12-10 CN CN202011434351.5A patent/CN112559857A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109871380A (en) * | 2019-01-14 | 2019-06-11 | 深圳市东信时代信息技术有限公司 | A kind of crowd's packet application method and system based on Redis |
| CN111292137A (en) * | 2020-03-10 | 2020-06-16 | 联通沃音乐文化有限公司 | Method for accurately delivering internet advertisements |
| CN111639061A (en) * | 2020-05-26 | 2020-09-08 | 深圳壹账通智能科技有限公司 | Data management method, device, medium and electronic equipment in Redis cluster |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113065075A (en) * | 2021-04-12 | 2021-07-02 | 北京明略昭辉科技有限公司 | Recommendation method and system based on mining crowd position attribute and electronic equipment |
| CN112948699A (en) * | 2021-04-14 | 2021-06-11 | 上海明略人工智能(集团)有限公司 | Crowd oriented recommendation method and system, electronic device and storage medium |
| CN113722318A (en) * | 2021-07-23 | 2021-11-30 | 恩亿科(北京)数据科技有限公司 | Storage query method, system, device and medium for user-defined crowd package |
| CN113590040A (en) * | 2021-07-29 | 2021-11-02 | 郑州阿帕斯数云信息科技有限公司 | Data processing method, device, equipment and storage medium |
| CN113590040B (en) * | 2021-07-29 | 2024-03-19 | 郑州阿帕斯数云信息科技有限公司 | Data processing method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112559857A (en) | Redis-based crowd pack application method and system, electronic device and storage medium | |
| US9560165B2 (en) | BT offline data download system and method, and computer storage medium | |
| US9935655B2 (en) | Reading of distributed erasure-coded data from an enterprise object storage system | |
| EP3125501B1 (en) | File synchronization method, server, and terminal | |
| US9372879B1 (en) | Balanced append tree data structure | |
| CN107153644B (en) | Data synchronization method and device | |
| CN112367149B (en) | Message acquisition method, device, equipment and storage medium | |
| WO2018161881A1 (en) | Structuralized data processing method, data storage medium, and computer apparatus | |
| CN104765840A (en) | Big data distributed storage method and device | |
| US10545988B2 (en) | System and method for data synchronization using revision control | |
| CN104657401A (en) | Web cache updating method | |
| CN110389859B (en) | Method, apparatus and computer program product for copying data blocks | |
| US10474185B2 (en) | Timestamp alignment across a plurality of computing devices | |
| WO2016101758A1 (en) | Cross-cluster data synchronization method and device | |
| CN104239353B (en) | WEB classification control and log audit method | |
| CN105653209A (en) | Object storage data transmitting method and device | |
| CN109254998B (en) | Data management method, Internet of things equipment, database server and system | |
| CN103856516A (en) | Data storage and reading method and data storage and reading device | |
| CN112632375B (en) | Session information processing method, server and storage medium | |
| CN110572422A (en) | Data downloading method and device | |
| CN106528866A (en) | Method, device and system for updating metadata | |
| CN109992469B (en) | Method and device for merging logs | |
| CN108206776A (en) | A kind of querying method and device of group history message | |
| CN115409507A (en) | Block processing method, block processing device, computer equipment and storage medium | |
| US20150100545A1 (en) | Distributed database system and a non-transitory computer readable medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210326 |