[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN109828987A - A kind of millions method for computing data, device, electronic equipment and medium - Google Patents

A kind of millions method for computing data, device, electronic equipment and medium Download PDF

Info

Publication number
CN109828987A
CN109828987A CN201910055105.XA CN201910055105A CN109828987A CN 109828987 A CN109828987 A CN 109828987A CN 201910055105 A CN201910055105 A CN 201910055105A CN 109828987 A CN109828987 A CN 109828987A
Authority
CN
China
Prior art keywords
data
database
millions
stored
computing
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
Application number
CN201910055105.XA
Other languages
Chinese (zh)
Inventor
张俊业
肖潇
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.)
Shenzhen Lexin Software Technology Co Ltd
Original Assignee
Shenzhen Lexin Software Technology Co 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 Shenzhen Lexin Software Technology Co Ltd filed Critical Shenzhen Lexin Software Technology Co Ltd
Priority to CN201910055105.XA priority Critical patent/CN109828987A/en
Publication of CN109828987A publication Critical patent/CN109828987A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the present disclosure is related to data processing technique more particularly to a kind of millions method for computing data, device, electronic equipment and medium.Millions method for computing data includes: the data fished in first database;The data fished for are stored in cache database;When data in the first database are all stored in cache database, read and calculate the data stored in cache database;Data after calculating are stored in the first database.Technical solution provided by the embodiment of the present disclosure realizes the effect that can quickly calculate millions data.

Description

A kind of millions method for computing data, device, electronic equipment and medium
Technical field
The embodiment of the present disclosure is related to data processing technique more particularly to a kind of millions method for computing data, device, electronics Equipment and medium.
Background technique
With the development of time, the data volume of present each server also rapid growth breaks through ten million rank soon, former Some batch processing mechanism has been unable to meet this data-level, influences normal business demand and use.There is an urgent need to be transformed Optimization promotes data-handling efficiency to guarantee that each business operates normally.
Therefore, a kind of scheme that can be improved millions data and quickly calculate how is provided, just at the demand of the prior art.
Summary of the invention
The embodiment of the present disclosure provides a kind of millions method for computing data, to realize the effect for quickly calculating millions data Fruit.
In a first aspect, the embodiment of the present disclosure provides a kind of millions method for computing data, millions method for computing data Include:
Fish for the data in first database;
The data fished for are stored in cache database;
When data in the first database all fish for completion, the data stored in cache database are calculated;
Data after calculating are stored in the first database.
Second aspect, the embodiment of the present disclosure also provide a kind of millions data computing device, which calculates dress It sets and includes:
Module is fished for, for fishing for the data in first database;
Cache module, for the data fished for be stored in cache database;
Computing module when all fishing for completion for the data in the first database, is calculated and is deposited in cache database The data of storage;
Update module, for the data after calculating to be stored in the first database.
The third aspect, the embodiment of the present disclosure also provide a kind of electronic equipment, including memory, processing unit and are stored in On reservoir and the computer program that can run in processing unit, the processing unit realizes the disclosure the when executing described program Millions method for computing data provided by one side embodiment.
Fourth aspect, the embodiment of the present disclosure also provide a kind of computer readable storage medium, are stored thereon with computer journey Sequence, it is characterised in that: ten million series provided by disclosure first aspect embodiment is realized when the program is executed by processing unit According to calculation method.
Compared with prior art, the embodiment of the present disclosure is set by providing a kind of millions method for computing data, device, electronics Standby and medium, by fishing for the data in first database;The data fished for are stored in cache database;The first database When interior data are all stored in cache database, read and calculate the data stored in cache database;The data after calculating It is stored in the first database, data are fished for and the step of calculating data separates, solves the progress of millions data Calculating makes slow-footed technical problem, realizes that dynamic quickly calculates the effect of millions data, and calculating speed improves four/ Three, the original calculating for needing four hours, only need can calculate completion within one hour now.
Detailed description of the invention
Fig. 1 is the flow diagram for the millions method for computing data that the first embodiment of the present disclosure provides;
Fig. 2 is the flow diagram for the millions method for computing data that the second embodiment of the present disclosure provides;
Fig. 3 is the modular structure schematic diagram for the millions data computing device that the third embodiment of the present disclosure provides;
Fig. 4 is the structural schematic diagram for the electronic equipment that the fourth embodiment of the present disclosure provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with Corresponding to method, function, regulation, subroutine, subprogram etc..
In addition, term " first ", " second " etc. can be used to describe herein various directions, movement, step or element etc., But these directions, movement, step or element should not be limited by these terms.These terms are only used to by first direction, movement, step Rapid or element and another direction, movement, step or element are distinguished.For example, the case where not departing from scope of the present application Under, it can be second speed difference by First Speed difference, and similarly, it is poor second speed difference can be known as First Speed Value.First Speed difference and second speed difference both speed difference, but it is not same speed difference.Term " the One ", " second " etc. is not understood to indicate or imply relative importance or implicitly indicates the number of indicated technical characteristic Amount." first " is defined as a result, the feature of " second " can explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of " plurality " is at least two, such as two, three etc., unless otherwise clearly specific limit It is fixed.
Referring to Fig. 1, the first embodiment of the present disclosure provides a kind of millions method for computing data, the millions data meter Calculation method can be executed by millions data computing device, which can be realized by way of hardware and/or software, and be led to It is often integrated in server, such as in the business platform server for supporting certain large data to handle, for quickly calculating millions Other or magnanimity rank data.The millions method for computing data includes:
S11: the data in first database are fished for;
S12: the data fished for are stored in cache database;
S13: it when the data in the first database are all stored in cache database, read and calculates in cache database The data of storage;
S14: the data after calculating are stored in the first database.
In S11, the type of first database is without limitation.It can storing data.In the present embodiment, the first data Library can be mySql, and the data reading speed in mySql is although relatively slow, but the Information Security stored is higher, is not easy It loses.First database is located in memory module, and the type of memory module is without limitation.The needs of memory module are sufficiently large, with Accommodate data.Memory module can be an individual storage chip, be also possible to the integrated storage device of multiple storage chips. Fish for data, i.e. data in reading first database.It is appreciated that when data are fished for, it can be in first database Data delete, the data in first database can also be retained.
In S12, the capacity needs of cache database are sufficiently large, to accommodate enough data fished for.As one kind Selection, the capacity of cache database can be 32G, 64G.Cache database is based on cache way, takes data speed fast, can improve The deposit and reading speed of data.Preferably, cache database redis.
In S13, the data in first database all fish for completion, and when being stored in cache database, just read slow Data in deposit data library, and calculate the data of reading.Since data are stored in cache database, read and calculate data Speed is fast, can obviously accelerate the calculating speed of millions data.And when calculating data, data all fish for completion, make to fish for The process that will not influence calculating when data will not influence the efficiency for calculating data.
In S14, the data after calculating are also stored in the first database for fishing for data.It can looking into convenient for user It askes.Be not in calculate after data be difficult to the situation found.
The millions method for computing data that the first embodiment of the present disclosure provides, by fishing for the data in first database; The data fished for are stored in cache database;When data in the first database are all stored in cache database, read simultaneously Calculate the data stored in cache database;Data after calculating are stored in the first database, fishing for data and logarithm It is separated according to the step of being calculated, solving millions data and calculate makes slow-footed technical problem, realizes that dynamic is quick The effect of millions data is calculated, calculating speed improves 3/4ths, the original calculating for needing four hours, only needs one now Hour can calculate completion.
Preferably, before S13, further includes:
Judge whether the data in first database are all stored in cache database.
Judge whether the data in first database are all stored in cache database, is calculated in time convenient for subsequent.
Referring to Fig. 2, the second embodiment of the present disclosure also provides a kind of millions method for computing data, before the present embodiment Based on stating embodiment, a kind of scheme fished for and handled before data data, the millions method for computing data are provided Include:
S21: fragment is carried out to the data in first database;
S22: the data in first database are fished for;
S23: the data fished for are stored in cache database;
S24: it when the data in the first database are all stored in cache database, read and calculates in cache database The data of storage;
S25: the data after calculating are stored in the first database.
In S21, the data in the first data are divided into multiple, when carrying out fragment to data, can be appointed by distribution Fragment task is established in business, data according to type or according to how much carry out fragments of each interior data.When data fragmentation, It is fished for convenient for subsequent, synchronization fishes for multiple when can make to fish for data, can significantly improve the speed for fishing for data Degree.
In S22, the data fished in first database include:
S221: the data in the first quantity piece are fished in first time period;
S222: the data in the second quantity piece are fished in second time period.
In S221, the value of the first quantity such as can be 10,15,20 etc. without limitation.It can be according to the performance of hardware Formulate the piece number that data are fished in first time period.It can such as be configured in first time period by distributed task scheduling and fish for data parallel The piece number.The duration of first time period without limitation, when first time period is needed for the data fished in the first quantity piece Long, that is, the data fished in the first quantity piece need first time period that can just fish for completion.
In S222, the value of the second quantity such as can be 10,15,20 etc. without limitation.It can be according to the performance of hardware The piece number of data is fished between formulating second in section.As that can be configured by distributed task scheduling and fish for data parallel in second time period The piece number.Without limitation, second time period is duration needed for the data fished in the second quantity piece to the duration of second time period, The data fished in the second quantity piece need first time period that can just fish for completion.When second time period can be close to first Between section, can also be with first time period having time interval.Second quantity can be equal with the first quantity, can also be with the first quantity Differ.
It is appreciated that passing through two periods, the data in first database not necessarily all fish for completion, subsequent also It can continue to fish for data in third period, the 4th period etc..
The millions method for computing data that the second embodiment of the present disclosure provides, by being carried out to the data in first database Fragment, solving millions data and calculate makes slow-footed technical problem, realizes that dynamic quickly calculates millions data It when effect is data fragmentation, is fished for convenient for subsequent, synchronization fishes for multiple when can make to fish for data, can be obvious The speed for fishing for data is improved, total duration required when millions data are calculated is further decreased.
Referring to Fig. 3, the third embodiment of the present disclosure provides a kind of millions data computing device, the millions data meter Calculating device 30 can realize that the millions method for computing data of above-described embodiment, millions data computing device 30 include:
Module 31 is fished for, for fishing for the data in first database;
Cache module 32, for the data fished for be stored in cache database;
Computing module 33, data in the first database all deposit cache database when, read and calculate caching The data stored in database;
Update module 34, for the data after calculating to be stored in the first database.
The millions method for computing data that the third embodiment of the present disclosure provides, by fishing for the data in first database; The data fished for are stored in cache database;When data in the first database are all stored in cache database, read simultaneously Calculate the data stored in cache database;Data after calculating are stored in the first database, fishing for data and logarithm It is separated according to the step of being calculated, solving millions data and calculate makes slow-footed technical problem, realizes that dynamic is quick The effect of millions data is calculated, calculating speed improves 3/4ths, the original calculating for needing four hours, only needs one now Hour can calculate completion.
Millions data computing device 30 further include:
Fragment module, for carrying out fragment to the data in first database.
Judgment module, for judging whether the data in first database are all stored in cache database.
Fishing for module 31 includes:
First fishes for module, for fishing for the data in the first quantity piece in first time period;
Second fishes for module, for fishing for the data in the second quantity piece in second time period.
Referring to Fig. 4, it illustrates be suitable for being used to realizing embodiment of the present disclosure millions method for computing data and/or ten million The structural schematic diagram of the electronic equipment 800 of grade data computing device.Electronic equipment in the embodiment of the present disclosure can be arbitrarily to have The calculating equipment of data-handling capacity, it is typical such as server or server cluster.Electronic equipment shown in figure is only one A example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
As shown, electronic equipment 800 may include processing unit (such as central processing unit, graphics processor etc.) 801, It can be loaded into random access storage according to the program being stored in read-only memory (ROM) 802 or from storage device 808 Program in device (RAM) 803 and execute various movements appropriate and processing.In RAM 803, it is also stored with electronic equipment 800 Various programs and data needed for operation.Processing unit 801, ROM 802 and RAM 803 are connected with each other by bus 804.It is defeated Enter/export (I/O) interface 805 and is also connected to bus 804.
In general, following device can connect to I/O interface 805: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph As the input unit 806 of head, microphone, accelerometer, gyroscope etc.;Including such as liquid crystal display (LCD), loudspeaker, vibration The output device 807 of dynamic device etc.;Storage device 808 including such as tape, hard disk etc.;And communication device 809.Communication device 809, which can permit electronic equipment 800, is wirelessly or non-wirelessly communicated with other equipment to exchange data.Although showing tool in figure There is the electronic equipment 800 of various devices, it should be understood that being not required for implementing or having all devices shown.It can be with Alternatively implement or have more or fewer devices.
The embodiment of the present disclosure additionally provides a kind of computer readable storage medium, is stored thereon with computer program, the journey The millions method for computing data as provided by the disclosure aforementioned any embodiment is realized when sequence is executed by processing unit.
Particularly, in accordance with an embodiment of the present disclosure, above with reference to the mistake of the millions method for computing data of flow chart description Journey may be implemented as computer software programs.For example, embodiment of the disclosure includes a kind of computer program product comprising The computer program of carrying on a computer-readable medium, the computer program include for executing side shown in above-mentioned flow chart The program code of method.In such embodiments, the computer program can be downloaded from network by communication device 809 and Installation is perhaps mounted from storage device 808 or is mounted from ROM 802.In the computer program by processing unit 801 When execution, the above-mentioned function of limiting in the millions method for computing data of the embodiment of the present disclosure is executed.
It should be noted that the above-mentioned computer-readable medium of the disclosure can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In open, computer-readable signal media may include in a base band or as the data-signal that carrier wave a part is propagated, In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable and deposit Any computer-readable medium other than storage media, the computer-readable signal media can send, propagate or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: electric wire, optical cable, RF (radio frequency) etc. are above-mentioned Any appropriate combination.
Above-mentioned computer-readable medium can be included in above-mentioned electronic equipment;It is also possible to individualism, and not It is fitted into the electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by the electricity When sub- equipment executes, so that the electronic equipment: obtaining at least two internet protocol addresses;Send to Node evaluation equipment includes institute State the Node evaluation request of at least two internet protocol addresses, wherein the Node evaluation equipment is internet from described at least two In protocol address, chooses internet protocol address and return;Receive the internet protocol address that the Node evaluation equipment returns;Its In, the fringe node in acquired internet protocol address instruction content distributing network.
Alternatively, above-mentioned computer-readable medium carries one or more program, when said one or multiple programs When being executed by the electronic equipment, so that the electronic equipment: receiving the Node evaluation including at least two internet protocol addresses and request; From at least two internet protocol address, internet protocol address is chosen;Return to the internet protocol address selected;Wherein, The fringe node in internet protocol address instruction content distributing network received.
The calculating of the operation for executing the disclosure can be write with one or more programming languages or combinations thereof Machine program code, above procedure design language include object oriented program language-such as Java, Smalltalk, C+ +, it further include conventional procedural programming language-such as " C " language or similar programming language.Program code can Fully to execute, partly execute on the user computer on the user computer, be executed as an independent software package, Part executes on the remote computer or executes on a remote computer or server completely on the user computer for part. In situations involving remote computers, remote computer can pass through the network of any kind --- including local area network (LAN) Or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service Provider is connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction Combination realize.
Being described in the embodiment of the present disclosure involved module or unit can be realized by way of software, can also be with It is realized by way of hardware.Wherein, the title of unit does not constitute the restriction to the unit itself, example under certain conditions Such as, first acquisition unit is also described as " obtaining the unit of at least two internet protocol addresses ".
Above description is only the preferred embodiment of the disclosure and the explanation to institute's application technology principle.Those skilled in the art Member is it should be appreciated that the open scope involved in the disclosure, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic Scheme, while should also cover in the case where not departing from design disclosed above, it is carried out by above-mentioned technical characteristic or its equivalent feature Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the disclosure Can technical characteristic replaced mutually and the technical solution that is formed.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (10)

1. a kind of millions method for computing data, which is characterized in that millions method for computing data includes:
Fish for the data in first database;
The data fished for are stored in cache database;
When data in the first database are all stored in cache database, read and calculate the number stored in cache database According to;
Data after calculating are stored in the first database.
2. millions method for computing data according to claim 1, it is characterised in that: the cache database is redis Database, the first database are mySql database.
3. millions method for computing data according to claim 1, it is characterised in that: described to fish in first database Before data, further includes:
Fragment is carried out to the data in first database.
4. millions method for computing data according to claim 3, it is characterised in that: the number in first database According in progress fragment, the data are divided into multiple.
5. millions method for computing data according to claim 4, which is characterized in that described to fish in first database Data include:
The data in the first quantity piece are fished in first time period;
The data in the second quantity piece are fished in second time period.
6. millions method for computing data according to claim 5, which is characterized in that first quantity and the second quantity Equal or the first quantity and second in varying numbers.
7. millions method for computing data according to claim 1, which is characterized in that the data in the first database When all fishing for completion, before the data stored in calculating cache database, further includes:
Judge whether the data in first database are all stored in cache database.
8. a kind of millions data computing device, which is characterized in that the millions data computing device includes:
Module is fished for, for fishing for the data in first database;
Cache module, for the data fished for be stored in cache database;
Computing module, data in the first database all deposit cache database when, read and calculate cache database The data of middle storage;
Update module, for the data after calculating to be stored in the first database.
9. a kind of electronic equipment, can run on a memory and in processing unit including memory, processing unit and storage Computer program, it is characterised in that: the processing unit is realized as described in any in claim 1~7 when executing described program Millions method for computing data.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: program dress processed Set the millions method for computing data realized as described in any in claim 1~7 when execution.
CN201910055105.XA 2019-01-21 2019-01-21 A kind of millions method for computing data, device, electronic equipment and medium Pending CN109828987A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910055105.XA CN109828987A (en) 2019-01-21 2019-01-21 A kind of millions method for computing data, device, electronic equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910055105.XA CN109828987A (en) 2019-01-21 2019-01-21 A kind of millions method for computing data, device, electronic equipment and medium

Publications (1)

Publication Number Publication Date
CN109828987A true CN109828987A (en) 2019-05-31

Family

ID=66860447

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910055105.XA Pending CN109828987A (en) 2019-01-21 2019-01-21 A kind of millions method for computing data, device, electronic equipment and medium

Country Status (1)

Country Link
CN (1) CN109828987A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236681A (en) * 2010-04-20 2011-11-09 中兴通讯股份有限公司 System and method for storing and obtaining data
CN103902702A (en) * 2014-03-31 2014-07-02 北京车商汇软件有限公司 Data storage system and data storage method
CN105426396A (en) * 2015-10-28 2016-03-23 深圳市万姓宗祠网络科技股份有限公司 Routing algorithm based database sharding method, system and middleware system
CN105893286A (en) * 2015-12-14 2016-08-24 乐视网信息技术(北京)股份有限公司 Data processing method and apparatus
CN108319654A (en) * 2017-12-29 2018-07-24 中国银联股份有限公司 Computing system, cold and hot data separation method and device, computer readable storage medium
CN108595530A (en) * 2018-03-30 2018-09-28 武汉楚鼎信息技术有限公司 A kind of method and system device of background process and storage user message

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102236681A (en) * 2010-04-20 2011-11-09 中兴通讯股份有限公司 System and method for storing and obtaining data
CN103902702A (en) * 2014-03-31 2014-07-02 北京车商汇软件有限公司 Data storage system and data storage method
CN105426396A (en) * 2015-10-28 2016-03-23 深圳市万姓宗祠网络科技股份有限公司 Routing algorithm based database sharding method, system and middleware system
CN105893286A (en) * 2015-12-14 2016-08-24 乐视网信息技术(北京)股份有限公司 Data processing method and apparatus
CN108319654A (en) * 2017-12-29 2018-07-24 中国银联股份有限公司 Computing system, cold and hot data separation method and device, computer readable storage medium
CN108595530A (en) * 2018-03-30 2018-09-28 武汉楚鼎信息技术有限公司 A kind of method and system device of background process and storage user message

Similar Documents

Publication Publication Date Title
CN110096344A (en) Task management method, system, server cluster and computer-readable medium
CN109871388A (en) Data cache method, device, whole electronic equipment and storage medium
CN110442608A (en) Information processing method, device, electronic equipment, medium and system
CN110019125A (en) The method and apparatus of data base administration
CN109033001A (en) Method and apparatus for distributing GPU
CN110334036A (en) A kind of method and apparatus for realizing data cached scheduling
CN110209677A (en) The method and apparatus of more new data
CN109657174A (en) Method and apparatus for more new data
CN109447635A (en) Information storage means and device for block chain
CN110019087A (en) Data processing method and its system
CN109542352A (en) Method and apparatus for storing data
CN109710613A (en) Management method, device, server and the storage medium of field
CN107766106B (en) The method and apparatus for generating configuration file
CN110019496A (en) Data read-write method and system
US10242102B2 (en) Network crawling prioritization
CN108804295A (en) log information recording method and device
CN110059991A (en) Warehouse selection method, system, electronic equipment and computer-readable medium
CN110019310A (en) Data processing method and system, computer system, computer readable storage medium
CN110020112A (en) Object Push method and its system
CN110169039A (en) High latency digital component is transmitted in low latency environment
CN110162410A (en) A kind of message treatment method and device
CN109145053A (en) Data processing method and device, client, server
CN103543959B (en) The method and device of mass data cache
CN109697019A (en) The method and system of data write-in based on FAT file system
CN109977982A (en) User classification method, system, electronic equipment and 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
RJ01 Rejection of invention patent application after publication

Application publication date: 20190531