CN107872398A - High concurrent data processing method, device and computer-readable recording medium - Google Patents
High concurrent data processing method, device and computer-readable recording medium Download PDFInfo
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- CN107872398A CN107872398A CN201710490374.XA CN201710490374A CN107872398A CN 107872398 A CN107872398 A CN 107872398A CN 201710490374 A CN201710490374 A CN 201710490374A CN 107872398 A CN107872398 A CN 107872398A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/56—Queue scheduling implementing delay-aware scheduling
- H04L47/562—Attaching a time tag to queues
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
Abstract
The present invention provides a kind of high concurrent data processing method, applied to a kind of data processing equipment.The high concurrent data processing method comprises the following steps：Receive the access request that client is sent；The access request received is stored to message queue with message mode；Call the thread of predetermined number to handle the message in message queue, read related data from database, and result is fed back into client.In the case where the data access request amount that server receives is big simultaneously, the concurrent pressure of server can be effectively reduced, ensures the availability and handling capacity of application system.The present invention also provides a kind of high concurrent data processing equipment and computer-readable recording medium.
Description
Technical field
The present invention relates to data processing technique, more particularly to a kind of high concurrent data processing method, device and computer can
Read storage medium.
Background technology
Progressively extensive with informationization, it is more and more the situation of multi-user concurrent operation data occur, for example,
Network booking, shopping etc., the business such as ticket or flash sale are robbed in especially spring transportation, and when arrival begins to sell the time, server receives
User ask visit capacity excessive, server thread blockings, database exception wait event etc. can be caused, user's request is slow must
Less than response, or even there is the situation of whole system collapse.Therefore, it is necessary to a kind of high concurrent data processing method, device and meter
Calculation machine readable storage medium storing program for executing, the concurrent pressure of server can be reduced, so as to ensure the availability of application system and handling capacity.
The content of the invention
The present invention provides a kind of high concurrent data processing method, device and computer-readable recording medium, its main purpose
It is the concurrent pressure for reducing server, so as to ensure the availability of application system and handling capacity.
To achieve the above object, the present invention provides a kind of high concurrent data processing method, is filled applied to a kind of data processing
Put, this method includes：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；And
First processing step：Call the thread of predetermined number to handle the message in message queue, read from database
Related data is taken, and result is fed back into client.
The present invention also provides a kind of high concurrent data processing method, and applied to a kind of data processing equipment, this method includes：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；
Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；And
Second processing step：Call the thread of predetermined number to handle the plurality of message groups, phase is read from database
Data are closed, and result is fed back into client.
Preferably, the message in the message queue is according to time order and function sequential storage.
Preferably, first processing step carries out the order that processing follows first in first out to the message in message queue.
Preferably, the request combining step merges access request identical message in message queue, is formed more
Individual message groups, one group of the message self-contained of the access request of no phase.
Preferably, the second processing step carries out processing to multiple message groups in message queue and follows message queue message
The time order and function order of a piece of news in group.
Preferably, the quantity of the thread of the predetermined number is less than the total number of threads that server creates.
In addition, the present invention provides a kind of high concurrent data processing equipment, described device includes memory, processor and storage
On the memory and the high concurrent data handling system that can run on the processor, the high concurrent data handling system
Including：Receiving module, queue management module and first processing module.
Described in the computing device during high concurrent data handling system, following steps can be achieved：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；And
First processing step：Call the thread of predetermined number to handle the message in message queue, read from database
Related data is taken, and result is fed back into client.
The present invention also provides a kind of high concurrent data processing equipment, and described device includes memory, processor and is stored in
On the memory and the high concurrent data handling system that can run on the processor, the high concurrent data handling system bag
Include：Receiving module, queue management module, request merging module and Second processing module.
Described in the computing device during high concurrent data handling system, following steps can be achieved：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；
Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；And
Second processing step：Call the thread of predetermined number to handle the plurality of message groups, phase is read from database
Data are closed, and result is fed back into client.
In addition, the present invention also provides a kind of computer-readable recording medium, the computer-readable recording medium storage has
High concurrent data handling system, the high concurrent data handling system can be walked by least one computing device so that realization is following
Suddenly：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；And
First processing step：Call the thread of predetermined number to handle the message in message queue, read from database
Related data is taken, and result is fed back into client.
The present invention also provides a kind of computer-readable recording medium, and the computer-readable recording medium storage has high concurrent
Data handling system, the high concurrent data handling system can be by least one computing devices, to realize following steps：
Receiving step：Receive the access request that client is sent；
Queue management step：The access request received is stored to message queue with message mode；
Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；And
Second processing step：Call the thread of predetermined number to handle the plurality of message groups, phase is read from database
Data are closed, and result is fed back into client.
Compare prior art, high concurrent data processing method, device and computer-readable recording medium provided by the invention,
Client data access request is managed using asynchronous queue, identical data access request is merged, is called pre-
If the thread of quantity is handled the message in message queue, so as to simultaneously the data access request amount received in server is big
In the case of, the concurrent pressure of server can be effectively reduced, the time that end user participates in interface alternation is saved, makes full use of
The calculation resources of server end, influencing each other between user under high capacity is reduced, ensure the availability of application system and handle up
Amount.
Brief description of the drawings
Fig. 1 is the schematic diagram of high concurrent data processing equipment preferred embodiment of the present invention.
Fig. 2 is the module map of high concurrent data handling system preferred embodiment of the present invention.
Fig. 3 is the module map of another preferred embodiment of high concurrent data handling system of the present invention.
Fig. 4 is the flow chart of high concurrent data processing method preferred embodiment of the present invention.
Fig. 5 is the flow chart of another preferred embodiment of high concurrent data processing method of the present invention.
Reference：
| 1 | High concurrent data processing equipment |
| 2 | Network |
| 3 | Client |
| 4 | Database |
| 11 | Memory |
| 12 | Processor |
| 13 | Communication bus |
| 10 | High concurrent data handling system |
| 110 | Receiving module |
| 120 | Queue management module |
| 130 | First processing module |
| 140 | Ask merging module |
| 150 | Second processing module |
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
As shown in figure 1, it is the exemplary plot of the preferred embodiment of high concurrent data processing equipment 1 of the present invention.
The high concurrent data processing equipment 1 includes：Memory 11, processor 12, communication bus 13 and it is stored in described
On memory 11 and the high concurrent data handling system 10 that can be run on the processor 12, the device 1 are connected by network 2
One or more clients 3, are communicated to connect by communication bus 13 and database 4.
Network 2 can be LAN, wide area network, and the network of Metropolitan Area Network (MAN) etc. type, can be cable network, or
Wireless network.
Client 3 can be desktop PC, notebook, tablet personal computer, mobile phone, or it is other can by network 2 with
The terminal installation that device 1 is communicated.
Processor 12 can be a central processing unit (Central Processing Unit, CPU), microprocessor or its
His data processing chip, for the high concurrent data handling system 10 stored in run memory 11, such as perform high concurrent number
According to processing routine etc..
Memory 11 stores the program code of high concurrent data handling system 10, sends the data of the client of request of data,
Such as the data such as client identity information, account information and data request information.The storage of the high concurrent data processing equipment 1 connection
Device 11 can be the internal storage unit of terminal, such as the hard disk of terminal or internal memory or pass through the only of network connection
Stand on the memory devices of aforementioned processor 12.
The memory 11 can include the storage medium of at least one type, and the storage medium includes flash memory, hard disk, more
Media card, card-type memory (for example, SD or DX memories etc.), random access storage device (RAM), static random-access storage
Device (SRAM), read-only storage (ROM), Electrically Erasable Read Only Memory (EEPROM), programmable read only memory
(PROM), magnetic storage, disk, CD etc..Processor 12 reads from memory 11 and performs high concurrent data processing system
The program code of system 10, there is provided the following function of high concurrent data handling system 10.
Fig. 1 illustrate only the high concurrent data processing equipment 1 with component 11-13 and high concurrent data handling system,
It should be understood that it is not required for implementing all components shown, the more or less component of the implementation that can be substituted.
As shown in Fig. 2 it is the module map of the preferred embodiment of high concurrent data handling system 10 of the present invention.
In the present embodiment, the high concurrent data handling system 10 includes：Receiving module 110, queue management module 120
And first processing module 130.
Receiving module 110, for receiving the access request of the transmission of client 3.For example, when client is participated in by client 3
Panic buying activity on the line of certain businessman, when activity starts, the receiving module 110 receives the n bars panic buying request that client sends.
Queue management module 120, for the access request received to be stored to message queue with message mode.For example,
N bars panic buying is asked in chronological sequence order by the queue management module 120, is stored in form of a message to message queue.
First processing module 130, the thread of predetermined number is called to handle the message in message queue, from database
4 read related data, and result is fed back into client 3.For example, the first processing module 130 calls predetermined number
Thread, the forward panic buying request in the message queue is handled, read from database 4 by the letter of panic buying product
Breath, and result is fed back into client 3.
As shown in figure 3, it is the module map of another preferred embodiment of high concurrent data handling system 10 of the present invention.
In the present embodiment, the high concurrent data handling system 10 includes：
Receiving module 110, for receiving the access request of the transmission of client 3.For example, when client is participated in by client 3
Panic buying activity on the line of certain businessman, when activity starts, the receiving module 110 receives the n bars panic buying request that client sends.
Queue management module 120, for the access request received to be stored to message queue with message mode.For example,
N bars panic buying is asked in chronological sequence order by the queue management module 120, is stored in form of a message to message queue.
Merging module 140 is asked, for access request identical message in message queue to be merged, forms multiple disappear
Breath group.For example, during the panic buying of n bars is asked, there are 20 panic buying request panic buying product A, there are 10 panic buying product B, other are asked without identical
The panic buying request asked each forms a message groups, then, the panic buying that the request merging module 140 rushes to purchase product A by this 20
Request is merged into message groups C, and this 10 panic buying product B panic buying request is merged into message groups D.Wherein, if first in message groups C
Earlier than first in other any message groups panic buying request of time of bar panic buying request, then message groups C message will be prior to
The message of other message groups is handled.
Second processing module 150, for calling the thread of predetermined number to handle the plurality of message groups, from database
4 read related data, and result is fed back into client 3.For example, it is assumed that message groups C is arranged in the head of the message queue
End, then the Second processing module 150 calls the thread of predetermined number, and the information for extracting message groups C is handled, from number
The information of A products is rushed to purchase according to this is read in storehouse 4, and result is fed back to all clients 3 for sending panic buying request.
As shown in figure 4, it is the flow chart of high concurrent data processing method preferred embodiment of the present invention.
In the present embodiment, the high concurrent data processing method comprises the following steps：
Step S111, the data access request that client 3 is sent is received.For example, when client passes through client 3 during spring transportation
Network booking is carried out on certain APP, by taking G6034 (Shenzhen-Yueyang) as an example.It is described to connect when the time of ticketing of this train of arrival
The receipts moment of module 110 receives n bars and robs ticket request.After client 3 sends request, the interface display of client 3 " is lined up
In ".
Step S112, the access request received is stored to message queue with message mode.For example, the queue management
The n bars are robbed ticket request in chronological sequence order by module 120, are stored in form of a message to message queue, wherein, often rob one
The information of train ticket all represents a piece of news in message queue.
Step S113, call the thread of predetermined number to handle the message in message queue, phase is read from database 4
Data are closed, and result is fed back into client 3.For example, the first processing module 130 calls the thread of predetermined number,
Forward ticket request of robbing in the message queue is handled, the ticket information more than reading from database 4, and result is anti-
It is fed to client 3.
As shown in figure 5, it is the flow chart of another preferred embodiment of high concurrent data processing method of the present invention.
In the present embodiment, the high concurrent data processing method comprises the following steps：
Step S111, the data access request that client 3 is sent is received.For example, when client passes through client 3 during spring transportation
Network booking is carried out on certain APP, by taking G6034 (Shenzhen-Yueyang) as an example.It is described when the time of ticketing of this train of arrival
The moment of receiving module 110 receives n bars and robs ticket request.After client 3 sends request, the interface display of client 3 " is lined up
In ".
Step S112, the access request received is stored to message queue with message mode.For example, the queue management
N bars panic buying is asked in chronological sequence order by module 120, is stored in form of a message to message queue.For example, the queue
The n bars are robbed ticket request in chronological sequence order by management module 120, are stored in form of a message to message queue, wherein, often rob
The information of one train ticket all represents a piece of news in message queue.
Step S114, access request identical message in message queue is merged, forms multiple message groups.For example, n
Bar is robbed in ticket request, has 20 to rob ticket request panic buying Shenzhen to the coach seat in Yueyang, there is first-class of 10 panic buying Shenzhen to Zhuzhou
Seat, then, the panic buying request in this 20 panic buying Shenzhen to the coach seat in Yueyang is merged into message by the request merging module 140
Group E, 10 panic buying product B panic buying request is merged into message groups F, other rob ticket request each one message of composition without identical
Group, if the first initiation time for robbing ticket request robs ticket request earlier than first in other any message groups in message groups E
The time is initiated, then the message in message groups E is handled the message prior to other message groups.
Step S115, call the thread of predetermined number to handle the plurality of message groups, dependency number is read from database 4
According to, and result is fed back into client 3.For example, it is assumed that message groups E is arranged in the head end of the message queue, then described
Second processing module 150 calls the thread of predetermined number, and the information for extracting message groups E is handled, read from database 4
Remaining ticket information, and result is fed back to all clients 3 for sending panic buying request.
In addition, present invention additionally comprises a kind of computer-readable recording medium, the computer-readable recording medium storage has height
Concurrent data processing system 10.
In the present embodiment, the high concurrent data handling system 10 is performed by least one processor 12, following to realize
Step：
Step S111, the access request that client 3 is sent is received.For example, when client participates in certain businessman's by client 3
Panic buying activity on line, when activity starts, the receiving module 110 receives the n bars panic buying request that client sends.
Step S112, the access request received is stored to message queue with message mode.For example, the queue management
N bars panic buying is asked in chronological sequence order by module 120, is stored in form of a message to message queue.
Step S113, call the thread of predetermined number to handle this message, related data read from database 4,
And result is fed back into client 3.For example, first in the extraction of first processing module 140 message queue is robbed
The key message of ticket request is simultaneously analyzed, the ticket information more than reading from database 4, and result is fed back into client 3.
In another preferred embodiment, the high concurrent data handling system 10 is performed by least one processor 12, with
Realize following steps：
Step S111, the access request that client 3 is sent is received.For example, when client participates in certain businessman's by client 3
Panic buying activity on line, when activity starts, the receiving module 110 receives the n bars panic buying request that client sends.
Step S112, the access request received is stored to message queue with message mode.For example, the queue management
N bars panic buying is asked in chronological sequence order by module 120, is stored in form of a message to message queue.
Step S114, access request identical message in message queue is merged, forms multiple message groups.For example, n
In bar panic buying request, there are 20 panic buying request panic buying product A, there are 10 panic buying product B, then, the merging module 140 should
20 panic buying product A panic buying request is merged into message groups C, and this 10 panic buying product B panic buying request is merged into message groups D.
Wherein, if the time that first panic buying is asked in message groups C asks earlier than first panic buying in message groups D, in message groups C
Message the message prior to message groups D is handled.
Step S115, call the thread of predetermined number to handle the plurality of message groups, dependency number is read from database 4
According to, and result is fed back into client 3.For example, it is assumed that message groups C is arranged in the head end of the message queue, then, it is described
The key message that Second processing module 150 extracts message groups C is handled, and is read from database 4 by panic buying A products
Information, feed back to all clients 3 for sending panic buying request.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those key elements, and
And also include the other element being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Other identical element also be present in the process of key element, method, article or device.
" one embodiment ", " another embodiment " mentioned in present embodiment can be identical embodiment, also may be used
Think different embodiments.
It should be noted last that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although ginseng
The present invention is described in detail according to preferred embodiment, it will be understood by those within the art that, can be to the present invention
Technical scheme modify or equivalent substitution, without departing from the spirit and scope of technical solution of the present invention.
Claims (10)
- A kind of a kind of 1. high concurrent data processing method, applied to data processing equipment, it is characterised in that this method includes：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；AndFirst processing step：Call the thread of predetermined number to handle the message in message queue, phase is read from database Data are closed, and result is fed back into client.
- A kind of a kind of 2. high concurrent data processing method, applied to data processing equipment, it is characterised in that this method includes：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；AndSecond processing step：Call the thread of predetermined number to handle the plurality of message groups, dependency number is read from database According to, and result is fed back into client.
- 3. high concurrent data processing method as claimed in claim 1 or 2, it is characterised in that the message in the message queue It is according to time order and function sequential storage.
- 4. high concurrent data processing method as claimed in claim 1 or 2, it is characterised in that first processing step offsets Message in breath queue carries out the order that processing follows first in first out.
- 5. a kind of high concurrent data processing equipment, it is characterised in that described device includes memory, processor and is stored in described On memory and the high concurrent data handling system that can run on the processor, high concurrent number described in the computing device During according to processing system, following steps can be achieved：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；AndFirst processing step：Call the thread of predetermined number to handle the message in message queue, phase is read from database Data are closed, and result is fed back into client.
- 6. a kind of high concurrent data processing equipment, it is characterised in that described device includes memory, processor and is stored in described On memory and the high concurrent data handling system that can run on the processor, high concurrent number described in the computing device During according to processing system, following steps can be achieved：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；AndSecond processing step：Call the thread of predetermined number to handle the plurality of message groups, dependency number is read from database According to, and result is fed back into client.
- 7. the high concurrent data processing equipment as described in claim 5 or 6, it is characterised in that the message in the message queue It is according to time order and function sequential storage.
- 8. the high concurrent data processing equipment as described in claim 5 or 6, it is characterised in that first processing step offsets Message in breath queue carries out the order that processing follows first in first out.
- 9. a kind of computer-readable recording medium, it is characterised in that the computer-readable recording medium storage has high concurrent number According to processing system, the high concurrent data handling system can be by least one computing device, to realize following steps：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；AndFirst processing step：Call the thread of predetermined number to handle the message in message queue, phase is read from database Data are closed, and result is fed back into client.
- 10. a kind of computer-readable recording medium, it is characterised in that the computer-readable recording medium storage has high concurrent number According to processing system, the high concurrent data handling system can be by least one computing device, to realize following steps：Receiving step：Receive the access request that client is sent；Queue management step：The access request received is stored to message queue with message mode；Ask combining step：Access request identical message in message queue is merged, forms multiple message groups；AndSecond processing step：Call the thread of predetermined number to handle the plurality of message groups, dependency number is read from database According to, and result is fed back into client.
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| CN201710490374.XA CN107872398A (en) | 2017-06-25 | 2017-06-25 | High concurrent data processing method, device and computer-readable recording medium |
| PCT/CN2018/090692 WO2019001256A1 (en) | 2017-06-25 | 2018-06-11 | High-concurrency data processing method and apparatus, and computer readable storage medium |
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| CN201710490374.XA CN107872398A (en) | 2017-06-25 | 2017-06-25 | High concurrent data processing method, device and computer-readable recording medium |
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| WO2019001256A1 (en) * | 2017-06-25 | 2019-01-03 | 平安科技（深圳）有限公司 | High-concurrency data processing method and apparatus, and computer readable storage medium |
| CN109510864A (en) * | 2018-09-29 | 2019-03-22 | 网宿科技股份有限公司 | A kind of retransmission method of cache request, transmission method and relevant apparatus |
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| CN112104731A (en) * | 2020-09-11 | 2020-12-18 | 北京奇艺世纪科技有限公司 | Request processing method and device, electronic equipment and storage medium |
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| CN112688982A (en) * | 2019-10-18 | 2021-04-20 | 北京京东振世信息技术有限公司 | User request processing method and device |
| CN113691611A (en) * | 2021-08-23 | 2021-11-23 | 湖南大学 | Block chain distributed high-concurrency transaction processing method, system, equipment and storage medium |
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