CN109299175A - Database Dynamic extended method, system, device and storage medium - Google Patents
Database Dynamic extended method, system, device and storage medium Download PDFInfo
- Publication number
- CN109299175A CN109299175A CN201811121786.7A CN201811121786A CN109299175A CN 109299175 A CN109299175 A CN 109299175A CN 201811121786 A CN201811121786 A CN 201811121786A CN 109299175 A CN109299175 A CN 109299175A
- Authority
- CN
- China
- Prior art keywords
- data source
- write
- configuration
- database
- high concurrent
- 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.)
- Granted
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention provides a kind of Database Dynamic extended method, system, device and storage medium, which comprises configuration and the consistent emergency data base resource of operating system cluster;Before high concurrent transaction scene occurs, growth data source is configured according to the emergency data base resource;When high concurrent transaction scene occurs, read-write configuration processing is adjusted according to custom order;After high concurrent transaction scene occurs, according to the corresponding relationship of basic data source in the growth data source and the operating system, carries out data time and lead processing.The present invention realizes the Data expansion of database and reduces system maintenance cost by the read-write data processing in the high concurrent period to the extending transversely of database and configuration particular order.
Description
Technical field
The present invention relates to data processing fields, in particular to a kind of Database Dynamic extended method, system, device
And storage medium.
Background technique
Third-party payment company and banking system utilize 3DES encryption skill according to the XML specification assembling interaction data of agreement
Art carries out data encryption, then is communicated by HTTP protocol.XML is computer extensible markup language to understand
Speech, is a kind of for marking electronic document to make it have structural markup language.3DES is that symmetric encipherment algorithm is improved
A kind of Encryption Algorithm, symmetric encipherment algorithm originally use 56 symmetric keys, and there are security risks, and 3DES is on this basis
It is improved, using 168 symmetric keys, symmetric cryptography three times has been carried out to data.HTTP is the contracting of hypertext transfer protocol
It writes, is a standard of client and server end request and response.
Quick payment business is Third-party payment company and bank under the background that internet electric business, mobile payment are risen
Cooperate the convenient payment transaction of one kind of joint development.Client need to only complete customer information certification when paying first time, i.e.,
The information such as typing account, mobile phone, passport NO., name, are forwarded to department of banking through third party on Third-party payment company platform
System completes customer information certification, and in subsequent payment process, client no longer needs to input these information, only need to be in Third-party payment
Reserved payment cipher is inputted on platform can complete to pay.Quick payment is under internet electric business, mobile payment background because of it
Extremely convenient customer experience is widely used, and in recent years, each business bank builds up related system successively, with regard to the author institute
In bank, quick payment system daily trading volume occupies entire payment transaction major part up to more than 100,000,000, meanwhile, which fast props up
The business of paying is always maintained at the level of industry first.Huge trading volume brings huge pressure to system database access,
Especially " electric business such as double 11 " promote day, and system database is easier bottleneck occur.System to database have it is powerful according to
Lai Xing, once bottleneck occurs in database, entire payment flow is just both possible to be interrupted, to be easy to lead to the different of account
Cause property.Therefore, how under high concurrent and the unbroken situation of system, solve database bottleneck, be the invention solves ask
Topic.
Under the prior art, database usually is reduced by using the method for multiple database tables and multiple database tables
Inadequate resource bring influences, but in the case that " when high concurrent as double 11 ", even the database resource distributed in advance
It is also possible to handling capacity deficiency occur, is limited to cost and is also impossible to distribute very more databases for system.
In general, payment system can all use data-base recording to pay flowing water information, it is used as reimbursement voucher and repeats order inspection
Foundation is looked into, however, its system performance bottleneck but often focuses on the database resource under high concurrent scene, on the one hand record flows
The logic of water and inspection flowing water cannot be cut, and on the other hand frequently access database but will lead to the fast of the resources such as CPU and memory
Speed consumption, causes system to respond slack-off or even delay machine.By taking bank's quick payment system as an example, encounters double big rush of the electric business such as 11 and live
Dynamic, average daily trading volume is doubled and redoubled, and especially kills movable moment in the second on schedule, and millions of client on-line payment simultaneously is handed over
Easily there is blowout in a very short period of time in amount, and database CPU usage rises violently rapidly, and the SQL execution time is elongated, final transaction time-out
Even failure.Finally, client misses a second murderous intention meeting because of banking system low-response, subsequent not use the row related service,
And banking system the danger such as delay machine, service disconnection may also can occur because pressure is excessive.It is worth noting that, such extreme
Scene only will appear one to twice every year, and each duration only has short dozens of minutes, presses if payment system is daily
It designs and disposes according to extreme scenes, it will cause the huge waste of resource.
Summary of the invention
It is situated between in order to solve the above technical problems, the present invention provides a kind of Database Dynamic extended method, system, device and storage
Matter solves the problems, such as that current payment systems maintenance cost is low and the wasting of resources.
According to a first aspect of the embodiments of the present invention, a kind of Database Dynamic extended method is provided, which comprises
Configuration and the consistent emergency data base resource of operating system cluster;
Before high concurrent transaction scene occurs, growth data source is configured according to the emergency data base resource;
When high concurrent transaction scene occurs, read-write configuration processing is adjusted according to custom order;
After high concurrent transaction scene occurs, according to basic data in the growth data source and the operating system
The corresponding relationship in source carries out data time and leads processing.
According to a second aspect of the embodiments of the present invention, a kind of Database Dynamic expansion system, the system comprises:
Configuration module, for configuring and the consistent emergency data base resource of operating system cluster;
Expansion module, for configuring spreading number according to the emergency data base resource before high concurrent transaction scene occurs
According to source;
Module is adjusted, for being adjusted at read-write configuration according to custom order when high concurrent transaction scene occurs
Reason;And
Guide module is returned, is used for after high concurrent transaction scene occurs, according to the growth data source and the operation
The corresponding relationship of basic data source in system carries out data time and leads processing.
According to a third aspect of the embodiments of the present invention, a kind of computer readable storage medium, the computer storage are provided
Medium includes computer program, wherein the computer program makes described one when being executed by one or more computers
A or multiple computers perform the following operations:
The operation include the steps that it is any one of as above described in Database Dynamic extended method included.
According to a fourth aspect of the embodiments of the present invention, a kind of Database Dynamic expanding unit is provided, described device includes:
Memory is stored with computer-readable instruction;
Processor executes the computer-readable instruction to execute Database Dynamic extended method as described above and be included
The step of.
Implement a kind of Database Dynamic extended method, system, device and storage medium provided in an embodiment of the present invention, has
Following advantages: can be achieved the Data expansion of database and reduce system maintenance cost.
Detailed description of the invention
Fig. 1 is a kind of flow chart of Database Dynamic extended method of the embodiment of the present invention;
Fig. 2 is a kind of structural schematic diagram of Database Dynamic expansion system 1 of the embodiment of the present invention.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present invention clearer, below in conjunction with attached drawing to this hair
It is bright to be described in further detail.
Fig. 1 is a kind of flow chart of Database Dynamic extended method of the embodiment of the present invention, referring to Fig. 1, the method packet
It includes:
Step S1, configuration and the consistent emergency data base resource of operating system cluster;
Step S2 configures growth data source according to the emergency data base resource before high concurrent transaction scene occurs;
Step S3 adjusts read-write configuration processing according to custom order when high concurrent transaction scene occurs;
Step S4, after high concurrent transaction scene occurs, according in the growth data source and the operating system
The corresponding relationship of basic data source carries out data time and leads processing.
It is in embodiments of the present invention, described that adjust read-write configuration processing according to custom order include: according to making by oneself
The reading configuration of adopted sequence adjustment handles and writes configuration processing, wherein reads configuration processing for controlling payment transaction repetition order simultaneously
It checks whether the inquiry growth data source, writes configuration processing and write for controlling the payment transaction records flowing water and checking whether
Enter the growth data source.Daily payment cluster legacy data base resource (being configured to basic data source) outside, increase isomorphism
Emergency data base resource is configured as growth data source before the arriving of foreseeable high concurrent scene in advance;Meanwhile it answering
With " reading ", " writing " two sets of configurations are increased in the logic of access database, wherein " reading " configuration control payment transaction repeats order inspection
Look into whether query expansion data source, and " writing " configuration control payment transaction records flowing water growth data source whether is written.It is high simultaneously
It sends out in scene generating process, according to specific adjustment sequence, realizes the seamless of application access basic data source and growth data source
Switching not only guarantees to repeat Order Checking logic no problem, but also guarantees Database Systems pressure lateral dispersion to growth data
On source.After high concurrent scene, according to certain corresponding relationship, by the Flow Record in growth data source back to legacy data
In source (also referred to as basic data source), growth data source is extractd in subsequent applications configuration, and database is recycled to emergency resources pond.
In embodiments of the present invention, the method also includes: data return lead processing after include: described in adjustment
Configuration processing is write, control program only accesses the basic data source;The emergency data base resource deletes the Data expansion source.
In embodiments of the present invention, the cluster of operating system includes: by multiple servers and multiple databases
Composition, each server are divided into multiple deployment units, and each database by covering the identical isomorphism library group of table structure more
At.In practical applications, setting server A is daily is configured with a, b, c totally 3 basic data sources, and payment transaction access operates in
Application program on server carries out modulus to pay invoice number when recording flowing water, by radix 3, and then 3 data sources are written
In 1, when repeating Order Checking, also press same modulus logic, inquire whether existing with ordering in the table of corresponding data source
The successful flowing water of odd numbers.Before high concurrent scene occurs, it is total that d, e, f are configured by the emergency data base resource for having same table structure
3 growth data sources, at this point, " reading ", " writing " configuration that application program uses are in default state of value, application program is being obtained
When database connects, growth data source will not be accessed.In practical applications, following process can be used to execute:
(1) high concurrent scene, adjustment application program " reading " configuration, while being set as looking into flowing water by 3 modulus of radix are closed on
By 6 modulus of radix, the successive corresponding data source of access modulus twice, wherein first time modulus can only correspond to basic data source it
One, and second of modulus result, it is likely that growth data source can be corresponded to.(2) adjustment application program " writing " configuration, is set as
It when remembering flowing water, obtains data source and presses 6 modulus of radix, in the unit time later, 1/2 payment flowing water will record growth data source.
(3) adjustment application program " reading " configuration when being set as looking into flowing water, obtains data source and presses 6 modulus of radix, in the unit time later,
1/2 flowing water inquiry can access growth data source.(4) high concurrent transaction access moment, the frequency of application access database explode,
But addressable database resource has extended 1 times, and the access pressure of every database is also reduced by 1/2.(5) high concurrent scene mistake
Afterwards, first adjustment application program " readings " configures, and is set as looking into flowing water by, by 3 modulus of radix, successively visiting twice while 6 modulus of radix
Ask for the corresponding data source of mould, wherein first time modulus result is possible to correspond to growth data source, and second of modulus as a result,
It then can only correspond to basic data source.(6) then adjustment application program " writing " configuration, is set as note flowing water only by 3 modulus of radix,
Flow Record is no longer newly-increased in growth data source after coming into force.It is defined as data source is obtained in above-mentioned steps by the method for 3 modulus
" basis divides library regular " is defined as " extension point library rule " by the method for 6 modulus, and application program " reading ", " writing " configuration example are such as
Under:
A, " reading " configures ReadSwitch:
0- only divides library regular by basis, inquires basic data source;
1- divides library regular by basis point library rule and extension simultaneously, successively inquires basic data source and basic data in two times
Source+growth data source;
2- only divides library regular by basis, inquires basic data source+growth data source.
B, " writing " configures WriteSwitch:
0- only divides library regular by basis, and basic data source is written in flowing water information;
1- divides library regular by extension, and basic data source+growth data source is written in flowing water information.
In addition, needing to import Flow Record therein in basic data source before extracing growth data source.Based on answering
With the multiple proportion between program twice modulus base, directly library can be imported, i.e. expanding library d imports base library a, expanding library e
Base library b is imported, and so on.Transaction concurrency has already decreased to normal usual at this time, controls back lead foot and originally writes database
Concurrency, the operation of real trade can not be influenced.
After the completion of growth data source stream water time is led, adjustment application program " reading " is configured to 0, that is, looks into flowing water only by basic modulus
Rule accesses basic data source.
The present invention by the high concurrent period to the extending transversely of database and configuration particular order read-write data processing,
It realizes the Data expansion of database and reduces system maintenance cost.It can be in the high concurrent period, by database access pressure transverse direction
It is distributed to emergency data library, the system pressure of single database is effectively reduced, guarantees the response time of transaction access database not
It increases substantially, the payment that client initiates will not be slack-off or overtime;Before high concurrent scene occurs and after occurring, emergency data
Base resource, which can be realized, freely to be alloted and dynamically plugs, and the cost of enterprise's maintenance system operation is effectively reduced;Application access database,
Its " reading ", " writing " configuration adjust in particular order, are able to achieve the seamless switching of access basic data source and growth data source,
Guarantee to repeat Order Checking completeness, and realizes the dynamic expansion of note flowing water.
Fig. 2 is a kind of structural schematic diagram of Database Dynamic expansion system 1 of the embodiment of the present invention, referring to fig. 2, the system
System 1 includes:
Configuration module 100, for configuring and the consistent emergency data base resource of operating system cluster;
Expansion module 200, for being configured and being extended according to the emergency data base resource before high concurrent transaction scene occurs
Data source;
Module 300 is adjusted, for adjusting read-write configuration according to custom order when high concurrent transaction scene occurs
Processing;And
Guide module 400 is returned, is used for after high concurrent transaction scene occurs, according to the growth data source and the fortune
The corresponding relationship of basic data source in row system carries out data time and leads processing.
It is in embodiments of the present invention, described that adjust read-write configuration processing according to custom order include: according to making by oneself
The reading configuration of adopted sequence adjustment handles and writes configuration processing, wherein reads configuration processing for controlling payment transaction repetition order simultaneously
It checks whether the inquiry growth data source, writes configuration processing and write for controlling the payment transaction records flowing water and checking whether
Enter the growth data source.
In embodiments of the present invention, the method also includes: data return lead processing after include: described in adjustment
Configuration processing is write, control program only accesses the basic data source;The emergency data base resource deletes the Data expansion source.
In embodiments of the present invention, the cluster of operating system includes: by multiple servers and multiple databases
Composition, each server are divided into multiple deployment units, and each database by covering the identical isomorphism library group of table structure more
At.
It should be noted that the operation of the Database Dynamic extended method include the steps that include as described above with
The mode of operation of above-mentioned Database Dynamic expansion system is identical, and details are not described herein for particular content.
In addition, the computer storage medium includes to calculate the present invention also provides a kind of computer readable storage medium
Machine program, the computer program execute one or more of computers such as
Lower operation: the operation includes the steps that Database Dynamic extended method as described above is included that details are not described herein.It needs
Bright, the computer readable storage medium may include a variety of storages such as ROM/RAM, magnetic disk, CD, disk, flash memory
Medium, to store the storage medium that above-mentioned computer program can be performed.
In addition, the present invention also provides a kind of Database Dynamic expanding unit, described device includes:
Memory is stored with computer-readable instruction;
Processor executes the computer-readable instruction to execute Database Dynamic extended method as described above and be included
The step of.It should be noted that described device includes: for example, intelligent terminal, mobile device, laptop, desk-top calculating
A variety of devices such as machine, server or the network equipment.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can be by
The mode of software combination hardware platform is realized.Based on this understanding, technical solution of the present invention makes tribute to background technique
That offers can be embodied in the form of software products in whole or in part, which can store is situated between in storage
In matter, such as ROM/RAM, magnetic disk, CD, including some instructions use is so that a computer equipment (can be individual calculus
Machine, server or network equipment etc.) execute method described in certain parts of each embodiment of the present invention or embodiment.
The above disclosure is only a preferred embodiment of the invention, cannot limit protection of the invention certainly with this
Range, therefore is still fallen within by right of the present invention and is wanted for equivalent variations made by above-described embodiment according to the introduction of the claims in the present invention
It asks in the range of being covered.
Claims (10)
1. a kind of Database Dynamic extended method, which is characterized in that the described method includes:
Configuration and the consistent emergency data base resource of operating system cluster;
Before high concurrent transaction scene occurs, growth data source is configured according to the emergency data base resource;
When high concurrent transaction scene occurs, read-write configuration processing is adjusted according to custom order;
After high concurrent transaction scene occurs, according to basic data source in the growth data source and the operating system
Corresponding relationship carries out data time and leads processing.
2. method as described in claim 1, which is characterized in that described to include: according to custom order adjustment read-write configuration processing
Configuration processing is handled and write according to the reading configuration of custom order adjustment, wherein reading configuration processing, which is used to control to pay, hands over
It easily repeats order and checks whether the inquiry growth data source, write configuration processing for controlling the payment transaction records flowing water
And check whether the write-in growth data source.
3. method as claimed in claim 2, which is characterized in that the data return to lead to handle includes: later
Configuration processing is write described in adjustment, control program only accesses the basic data source;
The emergency data base resource deletes the Data expansion source.
4. such as any one of claim 1-3 the method, which is characterized in that the cluster of operating system includes:
It is made of multiple servers and multiple databases, each server is divided into multiple deployment units, each data
Library is formed more by covering the identical isomorphism library of table structure.
5. a kind of Database Dynamic expansion system, which is characterized in that the system comprises:
Configuration module, for configuring and the consistent emergency data base resource of operating system cluster;
Expansion module, for configuring growth data source according to the emergency data base resource before high concurrent transaction scene occurs;
Module is adjusted, for adjusting read-write configuration processing according to custom order when high concurrent transaction scene occurs;With
And
Guide module is returned, is used for after high concurrent transaction scene occurs, according to the growth data source and the operating system
The corresponding relationship of middle basic data source carries out data time and leads processing.
6. system as claimed in claim 5, which is characterized in that described to include: according to custom order adjustment read-write configuration processing
Configuration processing is handled and write according to the reading configuration of custom order adjustment, wherein reading configuration processing, which is used to control to pay, hands over
It easily repeats order and checks whether the inquiry growth data source, write configuration processing for controlling the payment transaction records flowing water
And check whether the write-in growth data source.
7. system as claimed in claim 5, which is characterized in that the system also includes:
Access modules are returned for the data after leading processing, and configuration processing is write described in adjustment, and control program only accesses the base
Plinth data source;
Removing module deletes the Data expansion source for the emergency data base resource.
8. the system as described in claim any one of 5-7, which is characterized in that the cluster of operating system includes:
It is made of multiple servers and multiple databases, each server is divided into multiple deployment units, each data
Library is formed more by covering the identical isomorphism library of table structure.
9. a kind of computer readable storage medium, the computer storage medium includes computer program, which is characterized in that institute
Stating computer program performs the following operations one or more of computers when being executed by one or more computers:
The operation includes the steps that Database Dynamic extended method includes as described in any one of claim 1-4.
10. a kind of Database Dynamic expanding unit, which is characterized in that described device includes:
Memory is stored with computer-readable instruction;
Processor executes the computer-readable instruction to execute such as Database Dynamic of any of claims 1-4
The step of extended method is included.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811121786.7A CN109299175B (en) | 2018-09-26 | 2018-09-26 | Dynamic expansion method, system, device and storage medium for database |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811121786.7A CN109299175B (en) | 2018-09-26 | 2018-09-26 | Dynamic expansion method, system, device and storage medium for database |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109299175A true CN109299175A (en) | 2019-02-01 |
CN109299175B CN109299175B (en) | 2022-11-08 |
Family
ID=65164045
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811121786.7A Active CN109299175B (en) | 2018-09-26 | 2018-09-26 | Dynamic expansion method, system, device and storage medium for database |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109299175B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111598699A (en) * | 2020-05-20 | 2020-08-28 | 嘉联支付有限公司 | Divide moist system based on cluster |
CN113448642A (en) * | 2020-03-11 | 2021-09-28 | 成都鼎桥通信技术有限公司 | System file access method and device and electronic equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090172142A1 (en) * | 2007-12-27 | 2009-07-02 | Hitachi, Ltd. | System and method for adding a standby computer into clustered computer system |
CN102033938A (en) * | 2010-12-10 | 2011-04-27 | 天津神舟通用数据技术有限公司 | Secondary mapping-based cluster dynamic expansion method |
CN103106271A (en) * | 2013-02-05 | 2013-05-15 | 广东全通教育股份有限公司 | Database backup and recovery method and system based on mass data |
CN104598459A (en) * | 2013-10-30 | 2015-05-06 | 阿里巴巴集团控股有限公司 | Database processing method and system and data access method and system |
CN105159944A (en) * | 2015-08-10 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Database emergency handling method and system |
-
2018
- 2018-09-26 CN CN201811121786.7A patent/CN109299175B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090172142A1 (en) * | 2007-12-27 | 2009-07-02 | Hitachi, Ltd. | System and method for adding a standby computer into clustered computer system |
CN102033938A (en) * | 2010-12-10 | 2011-04-27 | 天津神舟通用数据技术有限公司 | Secondary mapping-based cluster dynamic expansion method |
CN103106271A (en) * | 2013-02-05 | 2013-05-15 | 广东全通教育股份有限公司 | Database backup and recovery method and system based on mass data |
CN104598459A (en) * | 2013-10-30 | 2015-05-06 | 阿里巴巴集团控股有限公司 | Database processing method and system and data access method and system |
CN105159944A (en) * | 2015-08-10 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Database emergency handling method and system |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113448642A (en) * | 2020-03-11 | 2021-09-28 | 成都鼎桥通信技术有限公司 | System file access method and device and electronic equipment |
CN111598699A (en) * | 2020-05-20 | 2020-08-28 | 嘉联支付有限公司 | Divide moist system based on cluster |
Also Published As
Publication number | Publication date |
---|---|
CN109299175B (en) | 2022-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108510082A (en) | The method and device that machine learning model is handled | |
US9336407B2 (en) | Dynamic data masking system and method | |
US9348874B2 (en) | Dynamic recreation of multidimensional analytical data | |
CN109240946A (en) | The multi-level buffer method and terminal device of data | |
CN106875303A (en) | The method and apparatus for realizing electronic protocol signing | |
TWI584149B (en) | Web page access request response method and device | |
US8799861B2 (en) | Performance-testing a system with functional-test software and a transformation-accelerator | |
CA2747783C (en) | Extensibility for web based diagram visualization | |
CN113196231A (en) | Techniques for decoupling access to infrastructure models | |
CN108132991A (en) | A kind of H5 pages loading method and system | |
CN109299175A (en) | Database Dynamic extended method, system, device and storage medium | |
Chang et al. | Cloud computing storage backup and recovery strategy based on secure IoT and spark | |
CN115567594A (en) | Microservice request processing method, microservice request processing device, computer equipment and storage medium | |
US8719270B2 (en) | Utilizing metadata generated during XML creation to enable parallel XML processing | |
US11055223B2 (en) | Efficient cache warm up based on user requests | |
CN110502506A (en) | A kind of data processing method, device, equipment and storage medium | |
CN107402862A (en) | For realizing the method and apparatus of resource layout in client | |
CN113010542A (en) | Service data processing method and device, computer equipment and storage medium | |
CN107895044A (en) | A kind of database data processing method, device and system | |
KR20210103790A (en) | Apparatus and method for exchanging metadata | |
CN111143461A (en) | Mapping relation processing system and method and electronic equipment | |
CN108920278A (en) | Resource allocation methods and device | |
CN111901403B (en) | Session management method and device, electronic equipment and medium | |
CN113297436A (en) | User policy distribution method and device based on relational graph network and electronic equipment | |
US20220075795A1 (en) | In-flight transformations over a data stream |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |