CN105718455B - A kind of data query method and device - Google Patents

A kind of data query method and device Download PDF

Info

Publication number
CN105718455B
CN105718455B CN201410720347.3A CN201410720347A CN105718455B CN 105718455 B CN105718455 B CN 105718455B CN 201410720347 A CN201410720347 A CN 201410720347A CN 105718455 B CN105718455 B CN 105718455B
Authority
CN
China
Prior art keywords
data
database
bloom filter
caching
finding
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.)
Active
Application number
CN201410720347.3A
Other languages
Chinese (zh)
Other versions
CN105718455A (en
Inventor
吴月刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
Original Assignee
Alibaba Group Holding Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN201410720347.3A priority Critical patent/CN105718455B/en
Publication of CN105718455A publication Critical patent/CN105718455A/en
Application granted granted Critical
Publication of CN105718455B publication Critical patent/CN105718455B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

This application discloses a kind of data query method and devices, to solve the problems, such as that database influences system performance due to a large amount of skies are looked into the prior art.When this method server receives inquiry request, it only need to be according to the Bloom filter prestored, judge that the corresponding data of the Data Identification carried in the inquiry request whether there is, and it is only searched in the presence of its and returns to the data, without inquiring the Data Identification carried in each inquiry request, it is looked into so as to effectively filter sky, avoids sky from checking database and cause unnecessary pressure, to achieve the purpose that reduce database overhead, promote search efficiency.

Description

A kind of data query method and device
Technical field
This application involves field of computer technology more particularly to a kind of data query methods and dress under high concurrent scene It sets.
Background technique
The fast development of computer nowadays technology, Internet technology, daily life can not leave internet, More and more internet products are well known, and bring great convenience to the work, life, study of people.
Currently, various information platforms require to establish on corresponding database, for some Top Sites, backstage The amount of access of server be it is very surprising, at this time face user a large amount of inquiry requests, the sound of server feedback query result It should would generally generate delay.
And with the arrival of big data era, high concurrent request for information can be more and more, when a large amount of client is same When initiating inquiry request to server end in the period, server can first inquire own cache according to major key is carried in inquiry request In with the presence or absence of the corresponding data of the major key (the corresponding data of the major key are are as follows: the data to be inquired), if deposited in caching Then the data found if it does not exist, then inquiring in the database, and are returned to visitor by the data in direct return cache Family end, while the write back data being entered in caching, it can directly be searched from caching when inquiring the data so as to next time.
It, can be certain due to saving the corresponding data of partial query request in distributed caching under this mode Alleviate the inquiry pressure of database in degree.But it is looked into many skies of appearance and (number to be inquired is not present i.e. in database According to) when, server still needs query caching and database, and due to the data of magnanimity in store in database, query process Database will necessarily be made to increase many unnecessary inquiries, to occupy more system resources, reduce system performance.
Summary of the invention
The embodiment of the present application provides a kind of data query method and device, to solve in the prior art database because a large amount of The problem of sky is looked into and influences system performance.
A kind of data query method provided by the embodiments of the present application, comprising:
Receive inquiry request;
According to the Data Identification carried in the inquiry request, and the first Bloom filter pre-saved, judge institute Stating the corresponding data of Data Identification whether there is;
If it exists, then it obtains and returns to the data;
If it does not exist, it is determined that inquiry failure.
A kind of data query device provided by the embodiments of the present application, comprising:
Receiving module, for receiving inquiry request;
Memory module, for storing the first Bloom filter;
Judgment module, for according to the Data Identification carried in the inquiry request, and the first cloth pre-saved is grand Filter judges that the corresponding data of the Data Identification whether there is;
Enquiry module, for when the judgment result of the judgment module is yes, obtaining and returning to the data, described When the judging result of judgment module is no, inquiry failure is determined.
A kind of data query method and apparatus provided by the embodiments of the present application, this method server receive inquiry request When, only it need to judge that the corresponding data of the Data Identification carried in the inquiry request whether there is according to the Bloom filter prestored, And the data are only searched and returned in the presence of its, without looking into the Data Identification carried in each inquiry request It askes, is looked into so as to effectively filter sky, avoid sky from checking database and cause unnecessary pressure, opened to reach and reduce database Pin, the purpose for promoting search efficiency.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 is data query process provided by the embodiments of the present application;
Fig. 2 is the detailed process of data query provided by the embodiments of the present application;
Fig. 3 is data query device structural schematic diagram provided by the embodiments of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Fig. 1 is data query process provided by the embodiments of the present application, is specifically included:
S101: inquiry request is received.
In the embodiment of the present application, when user will inquire some data, user end to server can be first passed through and send inquiry Request, wherein the Data Identification that the data to be inquired are carried in the inquiry request makes server by the Data Identification, knows Which data is the data to be inquired be.The Data Identification generally can be the major key of data.The server can be single Server, can also be with a server cluster or distributed server.
S102: according to the Data Identification carried in the inquiry request, and the first Bloom filter pre-saved, judgement The corresponding data of the Data Identification whether there is, if so, thening follow the steps S103, otherwise, execute step S104.
In the embodiment of the present application, server has pre-saved the first Bloom filter, which is pre- First generated according to all data stored in database.Pass through the Data Identification and first cloth carried in inquiry request Grand filter, server can judge that the corresponding data of the Data Identification whether there is in database.
Specifically, generating the specific method of Bloom filter is: default n Serial No.s, each is 0, presets k A hash function, the codomain of each hash function are that 0~n, n and k are natural number, for the every number saved in database According to Data Identification, the Data Identification of the data is inputted into this k hash function respectively, k hashed value is obtained, is denoted as respectively H1, H2, H3 ... Hk, then by H1 in n bit digital sequence, H2, H3 ... Hk bit digital is set to 1, In this way, be equivalent to the Data Identification " input " of data Bloom filter, method is by data all in database according to this Data Identification all input Bloom filter after, just obtained the first Bloom filter described in the embodiment of the present application.That is, Bloom filter described in the embodiment of the present application specifically includes: n bit digital sequence (being made of 0 or 1) and k hash letter Number.
After server receives inquiry request by step S101, according to the Data Identification carried in the inquiry request and First Bloom filter judges the corresponding data of the Data Identification with the presence or absence of the method in database are as follows: by the inquiry The Data Identification carried in request inputs this k hash function respectively, obtains k hashed value, be denoted as respectively L1, L2, L3 ... Lk, in n bit digital sequence, judge respectively L1, L2, L3 ... whether Lk numbers are 1, if It is 1, it is determined that the corresponding data of the Data Identification are present in database, if at least one is not 1, it is determined that the Data Identification Corresponding data are not present in database.
S103: obtaining and returns to the data.
If the server determine that data exist, then the corresponding data of the Data Identification can be inquired from database and are returned to Client.
S104: inquiry failure is determined.
It if the server determine that data are not present, then can determine that this inquiry is looked into for sky, and then determine this inquiry failure, The prompt information of inquiry failure can be returned to client.
Judge method that data whether there is by the generation method of above-mentioned Bloom filter and based on Bloom filter as it can be seen that Bloom filter is not really data all to be stored, but be only to record data with one n Serial No.s No presence, therefore, server are directed to an inquiry request, only need to can judge whether it is empty according to the Bloom filter It looks into, if not sky is looked into, then inquires data from database, otherwise, can no longer be inquired from database, therefore can effectively avoid sky It checks database and causes unnecessary pressure, reduce database overhead, improve search efficiency.
Certainly, by the generation method of above-mentioned Bloom filter it can also be seen that, for the data being present in database, pass through Bloom filter must can determine that it is present in database, for the data being not present in database, due to hash The characteristic of function itself is also possible to be mistaken for being present in database by Bloom filter, still, this False Rate (also referred to as false percent of pass) can be calculated by above-mentioned n and k, that is to say, that by adjusting the value of n and k, can make to judge by accident Rate is reduced to acceptable range hereinafter, such as False Rate is made to be reduced to one thousandth or less.
In addition, into Bloom filter, input data is very convenient for common Bloom filter, but It is that " deletion " data are more difficult from Bloom filter, for example, it is assumed that delete some data in database, then phase It answers, the Data Identification of " deletion " data is also answered in the first Bloom filter in the embodiment of the present application, but if simply By the Data Identification corresponding H1 in n bit digital sequence, H2, H3 ... it is aobvious that Hk numbers are set to 0 It is so improper, this is because can may also correspond to H1, H2, the after other Data Identifications input k hash function H3 ... in Hk some or certain it is several, therefore, in the embodiment of the present application, follow-on cloth also can be used Grand filter, follow-on Bloom filter are mainly that the number for setting 1 to each bit digital in n bit digital sequence is remembered The data when " deletion " data, can be subtracted 1 in the number that the corresponding each bit digital of n bit digital sequence sets 1 by record, right For n bit digital sequence one-bit digital, if the number that this bit of data is set to 1 is 0, which is changed to 0, this Sample can easily delete data from Bloom filter.
In step S103 shown in Fig. 1, server determines that the corresponding data of the Data Identification carried in inquiry request are deposited After being in database, when obtaining and returning to the data, the data can be first searched in the caching of itself and are obtained if finding It takes and returns to the data, if not finding, search the data in the database, and the data found are returned into client End.Due to server from own cache search data speed will far faster than from database search data speed, Server priority searches data from the caching of itself, can further improve the efficiency for searching data.
Certainly, when server does not find data in the caching of itself, but finds the data in the database, also The data found can be written in the caching of itself, it, can be from the caching of itself directly when inquiring the data so as to next time It finds.
It further, can also be according to pre-saving the second cloth when searching data in the caching of itself when server priority Grand filter is searched, second Bloom filter be generated previously according to all data stored in caching, specifically, Server can be according to the Data Identification carried in inquiry request, and the second Bloom filter pre-saved judges the data Identifying corresponding data whether there is in caching, if so, obtain the data from caching and return to client, otherwise, The data are searched in the database, and the data found are returned into client.Certainly, if according to the second Bloom filter When determining that the data are not present in caching, and finding from database the data, when searching the data for the ease of next time It can directly be found from caching, the data found can be also written in the caching of itself by server, and should according to write-in All data stored in caching after data update the second Bloom filter.
The generation method and application method of above-mentioned second Bloom filter are similar, the two with the first Bloom filter Difference is only that the first Bloom filter is generated according to the data stored in database, and the second Bloom filter is according to clothes The data that store generate in business device caching, here with regard to no longer to the second Bloom filter generation and application method go to live in the household of one's in-laws on getting married It states.
It should be noted that data query method provided by the embodiments of the present application, which can be applied to high concurrent, inquires more electricity Sub- business scene, then inquiry request described in the embodiment of the present application includes but is not limited to querying commodity information request, transaction record Inquiry request etc., the Data Identification include but is not limited to product name, commercial product identification identification code (IDentity, ID) etc., The server includes but is not limited to electric business website server, payment server etc..
Fig. 2 is the detailed process of data query provided by the embodiments of the present application, specifically includes the following steps:
S201: server receives inquiry request.
S202: according to the Data Identification carried in inquiry request, and the first Bloom filter pre-saved, judgement should The corresponding data of Data Identification whether there is, if so, step S203 is executed, it is no to then follow the steps S206.
Wherein, which generated according to all data stored in database.
S203: according to the Data Identification, and the second Bloom filter pre-saved, judge that the Data Identification is corresponding Data whether there is in caching, if so, step S204 is executed, it is no to then follow the steps S205.
S204: the data are obtained from caching and are returned.
Wherein, which generated according to all data stored in caching.
S205: searching the data in the database and return, and the data found are written in caching, and should according to write-in All data stored in caching after data update the second Bloom filter.
S206: inquiry failure is determined.
The above are data query methods provided by the embodiments of the present application, are based on same thinking, and the embodiment of the present application also mentions A kind of data query device is supplied, as shown in Figure 3.
Fig. 3 is data query device structural schematic diagram provided by the embodiments of the present application, is specifically included:
Receiving module 301, for receiving inquiry request;
Memory module 302, for storing the first Bloom filter;
Judgment module 303, for according to the Data Identification carried in the inquiry request, and the first cloth pre-saved Grand filter judges that the corresponding data of the Data Identification whether there is;
Enquiry module 304 is when being, to obtain and return the data for the judging result in the judgment module 303, When the judging result of the judgment module 303 is no, inquiry failure is determined.
The memory module 302 is specifically used for, and previously according to all data stored in database, generates corresponding first Bloom filter simultaneously saves.
The enquiry module 304 is specifically used for, and when the judging result of the judgment module 303 is to be, looks into the buffer The data are looked for, if finding, obtains and returns to the data, if not finding, search the data in the database, And the data found are returned.
The enquiry module 304 is also used to, when finding the data in the database, the data that will find It is written in the caching.
The enquiry module 304 is specifically used for, when the judging result of the judgment module 303 is to be, according to the number According to mark, and the second Bloom filter pre-saved, judge that the corresponding data of the Data Identification whether there is in caching In, if so, obtain the data from caching and return, otherwise, search the data in the database, and will find Data return, wherein second Bloom filter is generated according to all data stored in the caching.
The enquiry module 304 is also used to, when finding the data in the database, the data that will find It is written in the caching, according to all data stored in the caching after the write-in data, updates the second Bloom filter.
A kind of data query method and apparatus provided by the embodiments of the present application, this method server receive inquiry request When, only it need to judge that the corresponding data of the Data Identification carried in the inquiry request whether there is according to the Bloom filter prestored, And the data are only searched and returned in the presence of its, without looking into the Data Identification carried in each inquiry request It askes, is looked into so as to effectively filter sky, avoid sky from checking database and cause unnecessary pressure, opened to reach and reduce database Pin, the purpose for promoting search efficiency.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product. Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) Formula.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal Replacement, improvement etc., should be included within the scope of the claims of this application.

Claims (10)

1. a kind of data query method of high concurrent database characterized by comprising
Receive inquiry request;
According to the Data Identification carried in the inquiry request, and the first Bloom filter pre-saved, judge the number It whether there is in the database according to corresponding data are identified, wherein first Bloom filter is pre-saved, it is specific to wrap The Data Identification previously according to all data stored in the database is included, corresponding first Bloom filter is generated and is protected It deposits, the number that first Bloom filter sets 1 to each bit digital in n bit digital sequence records;
If it exists, then it obtains and returns to the data;
If it does not exist, it is determined that inquiry failure.
2. the method as described in claim 1, which is characterized in that obtain and return the data, specifically include:
The data are searched in the buffer;
If finding, obtains and return to the data;
If not finding, the data are searched in the database, and the data found are returned.
3. method according to claim 2, which is characterized in that the method also includes:
When finding the data in the database, the data found are written in the caching.
4. the method as described in claim 1, which is characterized in that obtain and return the data, specifically include:
According to the Data Identification, and the second Bloom filter pre-saved, judge the corresponding data of the Data Identification With the presence or absence of in caching, wherein second Bloom filter is generated according to all data stored in the caching;
If so, obtaining the data from caching and returning;
Otherwise, the data are searched in the database, and the data found are returned.
5. method as claimed in claim 4, which is characterized in that the method also includes:
When finding the data in the database, the data found are written in the caching;
According to all data stored in the caching after the write-in data, the second Bloom filter is updated.
6. a kind of data query device of high concurrent database characterized by comprising
Receiving module, for receiving inquiry request;
Memory module, for storing the first Bloom filter, wherein first Bloom filter is in n bit digital sequence The number that each bit digital sets 1 is recorded;
Judgment module, for according to the Data Identification carried in the inquiry request, and the grand filtering of the first cloth pre-saved Device judges that the corresponding data of the Data Identification whether there is in the database;
Enquiry module, for when the judgment result of the judgment module is yes, the data being obtained and returning, in the judgement When the judging result of module is no, inquiry failure is determined;
The memory module is specifically used for, previously according to the Data Identification of all data stored in the database, generation pair The first Bloom filter for answering simultaneously saves.
7. device as claimed in claim 6, which is characterized in that the enquiry module is specifically used for, in the judgment module Judging result is when being, to search the data in the buffer, if finding, obtain and return to the data, if not finding, The data are then searched in the database, and the data found are returned.
8. device as claimed in claim 7, which is characterized in that the enquiry module is also used to, when looking into the database When finding the data, the data found are written in the caching.
9. device as claimed in claim 6, which is characterized in that the enquiry module is specifically used for, in the judgment module Judging result is when being, according to the Data Identification, and the second Bloom filter pre-saved, judge the Data Identification Corresponding data whether there is in caching, if so, obtaining the data from caching and returning, otherwise, in the data The data are searched in library, and the data found are returned, wherein second Bloom filter is according in the caching What all data of storage generated.
10. device as claimed in claim 9, which is characterized in that the enquiry module is also used to, when looking into the database When finding the data, the data found are written in the caching, according to what is stored in the caching after the write-in data All data update the second Bloom filter.
CN201410720347.3A 2014-12-01 2014-12-01 A kind of data query method and device Active CN105718455B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410720347.3A CN105718455B (en) 2014-12-01 2014-12-01 A kind of data query method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410720347.3A CN105718455B (en) 2014-12-01 2014-12-01 A kind of data query method and device

Publications (2)

Publication Number Publication Date
CN105718455A CN105718455A (en) 2016-06-29
CN105718455B true CN105718455B (en) 2019-06-14

Family

ID=56146280

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410720347.3A Active CN105718455B (en) 2014-12-01 2014-12-01 A kind of data query method and device

Country Status (1)

Country Link
CN (1) CN105718455B (en)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106469225B (en) * 2016-09-28 2019-04-16 厦门嵘拓物联科技有限公司 It is a kind of intelligence workshop management in magnanimity manufaturing data access method
CN106815334A (en) * 2016-12-30 2017-06-09 晶赞广告(上海)有限公司 A kind of data query method and device for terminal
CN108427687A (en) * 2017-02-15 2018-08-21 北京国双科技有限公司 A kind of number of users processing method and processing device
CN107888659A (en) * 2017-10-12 2018-04-06 北京京东尚科信息技术有限公司 The processing method and system of user's request
CN109446172A (en) * 2017-10-12 2019-03-08 贵阳朗玛信息技术股份有限公司 Log storing method, read method and device
CN108133031B (en) * 2017-12-29 2021-01-29 北京搜狐新媒体信息技术有限公司 Method and device for filtering recommended video candidate result
CN109271408B (en) * 2018-08-31 2020-07-28 阿里巴巴集团控股有限公司 Distributed data connection processing method, device, equipment and storage medium
CN110968599B (en) * 2018-09-30 2023-04-07 北京国双科技有限公司 Inquiry method and device based on Impala
CN109597807A (en) * 2018-10-25 2019-04-09 阿里巴巴集团控股有限公司 Number storehouse list processing method and apparatus
CN111159213A (en) * 2018-11-07 2020-05-15 航天信息股份有限公司 Data query method, device, system and storage medium
CN109614407A (en) * 2018-12-10 2019-04-12 北京奇艺世纪科技有限公司 A kind of request processing method and equipment
CN109977261B (en) * 2019-04-02 2021-11-26 北京奇艺世纪科技有限公司 Data request processing method and device and server
CN110209874B (en) * 2019-04-24 2021-08-20 北京奇艺世纪科技有限公司 Information processing method, information processing device, electronic equipment and storage medium
CN110232095B (en) * 2019-05-21 2024-04-02 中国平安财产保险股份有限公司 Data synchronization method, device, storage medium and server
CN110765138B (en) * 2019-10-31 2023-01-20 北京达佳互联信息技术有限公司 Data query method, device, server and storage medium
CN110837521A (en) * 2019-11-15 2020-02-25 北京金山云网络技术有限公司 Data query method and device and server
CN113254480B (en) * 2020-02-13 2024-04-19 中国移动通信集团广东有限公司 Data query method and device
CN111309737A (en) * 2020-03-11 2020-06-19 支付宝(杭州)信息技术有限公司 List query method, device and equipment
CN111488371A (en) * 2020-04-07 2020-08-04 中国人民财产保险股份有限公司 Data query method and device
CN113760965A (en) * 2020-06-17 2021-12-07 北京沃东天骏信息技术有限公司 Data query method and device
CN113297266B (en) * 2020-07-08 2022-08-12 阿里巴巴集团控股有限公司 Data processing method, device, equipment and computer storage medium
CN112084216B (en) * 2020-09-16 2021-05-11 上海嗨普智能信息科技股份有限公司 Data query system based on bloom filter
CN112199396B (en) * 2020-10-14 2022-11-11 北京理工大学 Industrial Internet identification query method and system facing MES
CN112528098A (en) * 2020-12-16 2021-03-19 浙江百应科技有限公司 Data query method, system, electronic equipment and storage medium
CN112818019B (en) * 2021-01-29 2024-02-02 北京思特奇信息技术股份有限公司 Query request filtering method applied to Redis client and Redis client
CN113691590A (en) * 2021-07-28 2021-11-23 上海浦东发展银行股份有限公司 Static resource acquisition method, system, device, computer equipment and storage medium
CN114117187B (en) * 2022-01-25 2022-06-21 深圳希施玛数据科技有限公司 Data query method and related device
CN114880504B (en) * 2022-07-08 2023-03-31 支付宝(杭州)信息技术有限公司 Graph data query method, device and equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101923568A (en) * 2010-06-23 2010-12-22 北京星网锐捷网络技术有限公司 Method for increasing and canceling elements of Bloom filter and Bloom filter
CN102810107A (en) * 2011-06-01 2012-12-05 英业达股份有限公司 Processing method for repeating data
CN103440249A (en) * 2013-07-23 2013-12-11 南京烽火星空通信发展有限公司 System and method for rapidly searching unstructured data

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8990243B2 (en) * 2011-11-23 2015-03-24 Red Hat, Inc. Determining data location in a distributed data store
US8504533B2 (en) * 2011-12-20 2013-08-06 Matthew Dewey De-duplication reference tag reconciliation
US9143449B2 (en) * 2012-07-31 2015-09-22 Cisco Technology, Inc. Methods and apparatuses for improving database search performance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101923568A (en) * 2010-06-23 2010-12-22 北京星网锐捷网络技术有限公司 Method for increasing and canceling elements of Bloom filter and Bloom filter
CN102810107A (en) * 2011-06-01 2012-12-05 英业达股份有限公司 Processing method for repeating data
CN103440249A (en) * 2013-07-23 2013-12-11 南京烽火星空通信发展有限公司 System and method for rapidly searching unstructured data

Also Published As

Publication number Publication date
CN105718455A (en) 2016-06-29

Similar Documents

Publication Publication Date Title
CN105718455B (en) A kind of data query method and device
US10698885B2 (en) Method and device for writing service data in block chain system
CN106202112B (en) CACHE DIRECTORY method for refreshing and device
US10311230B2 (en) Anomaly detection in distributed ledger systems
US10042931B2 (en) Data query method and apparatus
EP2863310B1 (en) Data processing method and apparatus, and shared storage device
WO2015106711A1 (en) Method and device for constructing nosql database index for semi-structured data
CN107704202B (en) Method and device for quickly reading and writing data
CN105630819B (en) A kind of data cached method for refreshing and device
US20150180872A1 (en) System and method for hierarchical resource permissions and role management in a multitenant environment
TW201804393A (en) Terminal rule engine device and terminal rule operation method
US11100073B2 (en) Method and system for data assignment in a distributed system
CN104020961A (en) Distributed data storage method, device and system
CN104794228A (en) Search result providing method and device
CN106375360B (en) Graph data updating method, device and system
CN111324665B (en) Log playback method and device
US20220374407A1 (en) Multi-tenant partitioning in a time-series database
CN109145053B (en) Data processing method and device, client and server
CN109271449A (en) A kind of distributed storage inquiry system file-based and querying method
CN108399175B (en) Data storage and query method and device
CN102724301B (en) Cloud database system and method and equipment for reading and writing cloud data
CN106302667A (en) Code management system and method
CN104750749A (en) Data processing method and data processing device
CN104021192A (en) Database renewing method and device
US9817853B1 (en) Dynamic tier-maps for large online databases

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20200918

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee after: Innovative advanced technology Co.,Ltd.

Address before: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee before: Advanced innovation technology Co.,Ltd.

Effective date of registration: 20200918

Address after: Cayman Enterprise Centre, 27 Hospital Road, George Town, Grand Cayman Islands

Patentee after: Advanced innovation technology Co.,Ltd.

Address before: A four-storey 847 mailbox in Grand Cayman Capital Building, British Cayman Islands

Patentee before: Alibaba Group Holding Ltd.

TR01 Transfer of patent right