CN105763595A - Method of improving data processing efficiency and server - Google Patents
Method of improving data processing efficiency and server Download PDFInfo
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- CN105763595A CN105763595A CN201510979829.5A CN201510979829A CN105763595A CN 105763595 A CN105763595 A CN 105763595A CN 201510979829 A CN201510979829 A CN 201510979829A CN 105763595 A CN105763595 A CN 105763595A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/566—Grouping or aggregating service requests, e.g. for unified processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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Abstract
The invention discloses a method of improving data processing efficiency and a server. According to the method of improving the data processing efficiency, service data are respectively mounted to a corresponding fast message queue or a slow message queue according to a processed queue type, the service data processing process is further quickened through a dynamic service processing flow, a queue mapping configuration table is dynamically adjusted through a comparison result for a service processing time duration and a queue processing reference time duration, and thus, the data can be processed efficiently. The invention also provides a server applying the method. The method of improving data processing efficiency provided by the invention can carry out distribution processing on the service data, defects existing in the prior art can be effectively overcome, and the service data processing ability is thus improved.
Description
Technical field
The present invention relates to data processing field, especially relate to a kind of method improving data-handling efficiency and server.
Background technology
It is the requisite factor in present the Internet that big Data Concurrent processes, and server handling ability is proposed significantly high requirement by increasing of business datum.Processing mode currently for business datum, in order to improve the process performance to business datum queue, mainly by hardware dilatation, increase number of servers, do the means such as load balance to carry out, but generally these means are required for additionally increasing some resources, the efficiency being therefore badly in need of data Promotion From Within is processed data carries out Potential model.
Summary of the invention
For overcoming the deficiencies in the prior art, the invention provides a kind of method improving data-handling efficiency and server.
For this, the present invention provides following technical scheme:
A kind of method improving data-handling efficiency, the method for described raising data-handling efficiency comprises the following steps:
Step 1) server obtains the business datum that data source sends, and described business datum includes operation flag position and service data information, and described operation flag position is for indicating the type of service of business datum；Business datum is classified according to business demand, and the business datum of identical services demand type is classified as a class.
Step 2) business datum received resolves and judges by server, obtains the process queue type of business datum, and described process queue type includes fast queue processing and slow queue processing；
The step 3) process queue type according to business datum, is added sequentially to business datum in corresponding message queue, calling of latency services processing unit, and described message queue includes fast message queue and slow message queue；When the process queue type obtained is slow queue processing, then business datum is mounted to slow queue message queue；When the process queue type obtained is fast queue processing, then business datum is mounted to fast message queue.It is carry successively sequentially in time that the business datum received is mounted to the order of message queue, so ensure that the fair dealing of data.
Step 4) Service Processing Unit message call queue, industry of going forward side by side business distribution processor.
Further, described step 2) in parsing and judgement be respectively as follows:
Resolve: after described server receives business datum, parse the operation flag position in business datum；
Judge: described server resolves after obtaining operation flag position, map allocation list by query request and obtain the process queue type of corresponding business datum.
Further, described queue maps allocation list and is stored in a mapping table of server internal, and the list structure of described mapping table includes operation flag position and process queue type, described operation flag position and process queue type one_to_one corresponding.
Further, before business datum is resolved by server, queue is mapped allocation list and initializes.
Further, in described step 3), Service Processing Unit carries out dynamically increasing or reducing the number of threads for processing queue according to the number of queues processed in queue type and message queue of business datum, and the thread of unlatching takes out business datum from message queue according to the order of first in first out and processes.
Further, the method of described raising data-handling efficiency also includes the calculating of business data processing duration, after the operation process task being calculated as Service Processing Unit process finishing service data of described business data processing duration, calculate and update the handling duration of business datum.
Further, described business data processing duration is the difference processed between deadline and process time started of business datum.
Further, the method of described raising data-handling efficiency also includes queue and maps the renewal of allocation list, described queue maps being updated to of allocation list and is compared with queue processing reference time length by the business data processing duration obtained in the calculating of business data processing duration, and dynamically updates queue mapping allocation list according to comparative result.Described queue processing reference time length is for for comparing with business data processing duration, thus obtaining the process queue type of business datum, and recording the comparative result of each business data processing duration and queue processing reference time length.
Further, when the business data processing time length ratio queue processing reference time length obtained is little, then comparative result be recorded as less than；When the business data processing time length ratio queue processing reference time length obtained is big, but when being not above one order of magnitude of queue processing reference time length, then comparative result be recorded as between；When the business data processing time length ratio queue processing reference time length obtained is big and exceedes one order of magnitude of queue processing reference time length, then comparative result be recorded as more than.
Three business data processing durations of record continuously, after business data processing duration and queue processing benchmark, if obtained comparative result, when being smaller than for continuous three times, the process queue type of business datum is set to fast queue processing, updates queue and map allocation list；If obtained comparative result, when being all greater than for continuous three times, the process queue type of business datum is set to slow queue processing, updates queue and map allocation list；If obtained comparative result, between result occur once and be above time, then do not update queue and map allocation list.
A kind of application improves the server of the method for data-handling efficiency, and described server includes:
-receive unit, for receiving the business datum that data source sends；
-resolution unit, resolves for the business datum that described reception unit is received, obtains the operation flag position of described business datum；
-judging unit, resolves for resolution unit after obtaining operation flag position, maps allocation list by query request and obtain the process queue type of corresponding business datum；
-Service Processing Unit, is distributed to business datum the message queue of correspondence for the queue type that processes according to business datum, and performs the job task in message queue；And
-memory element, maps the execution number of times of allocation list and same treatment queue type business datum for storage queue.
Further, described server also includes computing unit, for calculating the handling duration of business datum；Described business data processing duration is the difference processed between deadline and process time started of business datum, and described memory element is additionally operable to storage service data handling duration.
Further, described server also includes updating block, map allocation list for updating the history average treatment duration of business datum, the comparative result of business data processing duration and queue processing reference time length and queue, described memory element be additionally operable to the comparative result of storage service data handling duration and queue processing reference time length and update after queue mapping allocation list.
The present invention provides a kind of method improving data-handling efficiency and server, the method of described raising data-handling efficiency is mounted to corresponding fast message queue or slow message queue respectively by business datum is processed queue type according to it, the processing procedure of business datum is accelerated further by dynamic business processing flow, and dynamically adjust queue mapping allocation list by the comparative result of Business Processing duration Yu queue processing reference time length, thus realize the efficient process of data.The present invention also provides for a kind of server applying the method.Business datum can be carried out shunting process by the method for raising data-handling efficiency provided by the invention, efficiently against the shortcoming existed in prior art, thus improving the disposal ability of business datum.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of method improving business data processing efficiency of embodiment 1 provided by the present invention
Fig. 2 is the schematic diagram of the server of the method for a kind of application raising business data processing efficiency of embodiment 1 provided by the present invention；
Fig. 3 is the schematic diagram of the business datum form of embodiment 1 and 2 provided by the present invention；
Fig. 4 is the schematic diagram of the business data processing of embodiment 1 and 2 provided by the present invention；
Fig. 5 is the flow chart of a kind of method improving business data processing efficiency of embodiment 2 provided by the present invention；
Fig. 6 is the schematic diagram of the server of the method for a kind of application raising business data processing efficiency of embodiment 2 provided by the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail.
Embodiment 1
As it is shown in figure 1, a kind of method improving data-handling efficiency, the method for described raising data-handling efficiency includes:
S101, server obtains the business datum that data source sends, and described business datum includes operation flag position and service data information, and business datum form is as shown in Figure 3.
Such as, it is query statement that mobile phone sends two business datum: business datum A and business datum B, business datum A to server, and business datum B inserts instruction, and every business datum has comprised operation flag position.Being encoded to example with operation flag position for 8, the operation flag position of business datum A is 00000000, and the operation flag position of business datum B is 00000001.
S102, the business datum received is resolved by server, obtains the operation flag position of business datum.
The business datum A and business datum B of the transmission of step S101 are resolved by such as server respectively, obtain first 8 of business datum A and business datum B, the operation flag position obtaining business datum A is 00000000, and the operation flag position of business datum B is 00000001.
S103, according to the operation flag position that parsing obtains, it is judged that the process queue type of business datum, if slow queue processing, proceeds to step S104；If fast queue processing, proceed to step S105.
The judgement processing queue type to business datum, is by the contrast of the queue mapping allocation list of operation flag position and server storage being completed.According to operation flag position, map the process queue type searching and obtaining correspondence in allocation list in queue.
Such as with the operation flag position 00000000 obtaining business datum A in S102, and the operation flag of queue mapping allocation list ranks contrast, and the process queue type obtaining operation flag position 00000000 is slow queue processing；With the operation flag position 00000001 obtaining business datum B in S102, and queue maps the operation flag of allocation list and ranks contrast, and the process queue type obtaining operation flag position 00000001 is fast queue processing；
S104, is mounted to slow message queue by the business datum received.
It is judged as that through S103 the business datum A of slow message is mounted to slow message queue in chronological order.The carry order of business datum is to carry out carry according to time order and function order, this ensure that the fairness that the business datum of this queue is processed.Such as mobile phone is after sending business datum A and business datum B to server, a business datum C is have sent again to server, the operation flag position of business datum C is 00000000, after step S102 and S103 analysis judgment, the process queue type obtaining business datum C is slow queue processing, business datum C will also be hung in slow message queue, because first having had business datum A, business datum C to come after business datum A in queue.
S105, is mounted to block message queue by the business datum received；
S106, business data processing unit performs the job task in message queue, it is possible to carries out dynamic change according to the number of queues processed in queue type and message queue and processes the number of threads of queue.
As shown in Figure 4, message queue 510 has just been initially empty queue, has a monitoring thread 501 to be in the state of monitor in real time, and whether monitoring message queue has business datum to enter queue.After there is business datum in program to be monitored discovery message queue 510, startup immediately processes thread 502, process the thread 502 quantity according to the traffic data type in message queue 510 and business datum, dynamic increase or minimizing process the quantity of thread, process the time with shortening, improve the performance of system.
For example, after S105, business datum A enters into slow message queue, and thread 501 to be monitored monitors first business datum A when entering into message queue 510, and monitoring thread 501 startup immediately processes thread 502.Process the quantity of thread along with in queue message the treatment effeciency of business datum and quantity dynamically change, when monitoring thread 501 business datum C enters into message queue 510 again, monitoring thread 501 will open extra thread 503.
As in figure 2 it is shown, a kind of server that the method improving data-handling efficiency provided in the present embodiment 1 is provided, including: receive unit 101, resolution unit 102, it is judged that unit 103, Service Processing Unit 104 and memory element 105；
Receive unit 101, for receiving the business datum that data source sends.
Wherein data source can be exterior terminal equipment, for instance: mobile phone, flat board, computer etc. possess the equipment of network communicating function；Can also be other unit of server internal.
Resolution unit 102, resolves for the business datum that described reception unit is received, obtains the operation flag position of described business datum.
As it is shown on figure 3, business datum comprises two segment informations, i.e. operation flag position 11 and service data information 12, operation flag position is for the type of service of identification service data.
It is the coding of a section 8 that one of which is likely to this operation flag position, each 8 coding stands one operation, for instance: 00000000 represents the operation inserted, and 00000001 represents the operation etc. of inquiry.
Another possibility is the type of service by different parameter identification business datums, such as, the business datum obtained is map<methodname, value>form, wherein methodname is exactly the operation flag position of business datum, and value is the parameter information carried in business datum.For example, it is update when methodname is " insert ", and is query manipulation when methodname is " search ".
Using operation flag position for 8 codings as the selection at first of the present embodiment in the present embodiment 1.
Judging unit 103, resolves for resolution unit after obtaining operation flag position, maps allocation list by query request and obtain the process queue type of corresponding business datum.
Business datum, according to operation flag position in business datum, is judged to slow queue processing or fast queue processing by judging unit.
Service Processing Unit 104, is distributed to business datum the message queue of correspondence for the queue type that processes according to business datum, and performs the job task in message queue.
The Service Processing Unit process queue type according to business datum, is mounted to respectively by business datum in fast message queue or slow message queue.Job task in message queue is exactly the operational order of a business datum.
Memory element 105, maps allocation list for storage queue.
History average treatment duration is the average treatment duration of all number of processes of same line of business data, performs the business datum that number of times is same operation type and performs all cumulative numbers of request.
Contrast standard when queue maps allocation list for providing traffic data type to judge, queue maps and comprises operation flag position in allocation list and process queue type.
Being encoded to example with operation flag position for 8, wherein the structure of queue configuration mapping table is as shown in the table:
| Operation flag position | Process queue type |
| 00000000 | Slowly |
| 00000001 | Block |
| …… | ……. |
Embodiment 2
As it is shown in figure 5, a kind of method improving data-handling efficiency, the method for described raising data-handling efficiency includes:
S201, server obtains the business datum that data source sends.
S202, the business datum received is resolved by server, obtains the operation flag position of business datum.
S203, according to the operation flag position that parsing obtains, it is judged that the process queue type of business datum.If slow queue processing, proceed to step S204；If fast queue processing, proceed to step S205；
S204, is mounted to slow message queue by the business datum received.
S205, is mounted to fast message queue by the business datum received.
S206, business data processing unit performs the job task in message queue.
S207, after standby service data cell has processed, calculates business data processing duration.
Business data processing duration is the difference processed between time started and process deadline of business datum.
A present query traffic data C initially enters and carries out data manipulation in server, the time started that record traffic data process, after step S201 ~ S207, obtaining the end time that business data processing completes, it is 1.2ms that calculating difference obtains this handling duration of business datum.
S208, after obtaining the handling duration of business datum, compares the business data processing duration obtained and queue processing reference time length, dynamically updates queue according to both comparative results and maps allocation list.
Queue processing reference time length, for contrasting with business data processing duration, obtains the process queue type of business datum, after the business data processing duration obtained and queue processing reference time length being compared, records each comparative result.When the business data processing time length ratio queue processing reference time length obtained is little, then comparative result be recorded as less than；When the business data processing time length ratio queue processing reference time length obtained is big, but when being not above one order of magnitude of queue processing reference time length, then comparative result be recorded as between；When the business data processing time length ratio queue processing reference time length obtained is big and exceedes one order of magnitude of queue processing reference time length, then comparative result be recorded as more than.
Three business data processing durations of record continuously, after business data processing duration and queue processing benchmark, if obtained comparative result, when being smaller than for continuous three times, the process queue type of business datum is set to fast queue processing, updates queue and map allocation list；If obtained comparative result, when being all greater than for continuous three times, the process queue type of business datum is set to slow queue processing, updates queue and map allocation list；If obtained comparative result, between result occur once and be above time, then do not update queue and map allocation list.
In the present embodiment 2, the process queue type of same kind of business datum, with 0.1ms for benchmark, when the handling duration of continuous three times of business datum is both less than 0.1ms, is then set to fast queue processing by queue processing reference time length；When the handling duration of continuous three times of business datum is above 0.1ms, and all it is significantly greater than more than one order of magnitude of queue processing reference time length, namely when continuous three handling durations both are greater than 1ms, then the process queue type of same kind of business datum is set to slow queue processing；Between 0.1ms and 1ms, equally process queue type will be set to fast queue processing.
Such as, the original process queue type of query type business datum is fast queue processing, business datum C is operation flag position be 00000001 query type business datum, its handling duration is 1.2ms, have been above mono-order of magnitude of queue processing reference time length 0.1ms, the then handling duration of record queries type.
If next continuous two query type business datums, business datum D and business datum E, its handling duration is 1.5ms and 2ms respectively, it both is greater than more than one order of magnitude of queue processing reference time length for continuous 3 times, then the process queue type of query type business datum is changed to slow queue processing, update queue simultaneously and map allocation list.
If next continuous two query type business datums, business datum D and business datum E, its handling duration is 1.5ms and 0.2ms respectively, wherein has a data to be between 0.1ms and 1ms in three data, does not then change the process queue type of business datum.
Queue is mapped the renewal of allocation list every time, it is after the whole business datums in a whole message queue have performed, rather than business datum performed after immediately update queue and map allocation list, which ensure that the server stability that system is overall when performing message queue.
As shown in Figure 6, a kind of server applying the method improving data-handling efficiency that the present embodiment 2 provides, including: receive unit 201, resolution unit 202, it is judged that unit 203, Service Processing Unit 204, computing unit 205, updating block 206 and memory element 207.
Receive unit 201, for receiving the business datum that data source sends；
Resolution unit 202, resolves for the business datum that described reception unit is received, obtains the operation flag position of described business datum.；
Judging unit 203, for judging the process queue type of business datum；
Service Processing Unit 204, is distributed to business datum the message queue of correspondence for the queue type that processes according to business datum, and performs the job task in message queue；
Computing unit 205, for calculating the handling duration of business datum；
Business data processing duration is the difference processed between time started and process deadline of business datum.
Updating block 206, for updating the comparative result of business data processing duration and queue processing reference time length, and updates queue mapping allocation list.
The comparative result of business data processing duration and queue processing reference time length include more than, less than and between three kinds.
Memory element 207, maps allocation list, the handling duration of business datum and comparative result for storage queue.
Above-described embodiment is for the invention will be further described, but does not limit the invention to these detailed description of the invention.One skilled in the art would recognize that and present invention encompasses all alternatives, improvement project and the equivalents potentially included in Claims scope.
Claims (11)
1. the method improving data-handling efficiency, it is characterised in that the method for described raising data-handling efficiency comprises the following steps:
Step 1) server obtains the business datum that data source sends, and described business datum includes operation flag position and service data information；
Step 2) business datum received resolves and judges by server, obtains the process queue type of business datum, and described process queue type includes fast queue processing and slow queue processing；
The step 3) process queue type according to business datum, is added sequentially to business datum in corresponding message queue, calling of latency services processing unit, and described message queue includes fast message queue and slow message queue；
Step 4) Service Processing Unit message call queue, industry of going forward side by side business distribution processor.
2. a kind of method improving data-handling efficiency according to claim 1, it is characterised in that described step 2) in parsing and judgement be respectively as follows:
Resolve: after described server receives business datum, parse the operation flag position in business datum；
Judge: described server resolves after obtaining operation flag position, map allocation list by query request and obtain the process queue type of corresponding business datum.
3. a kind of method improving data-handling efficiency according to claim 2, it is characterized in that, described queue maps allocation list and is stored in a mapping table of server internal, the list structure of described mapping table includes operation flag position and process queue type, described operation flag position and process queue type one_to_one corresponding.
4. a kind of method improving data-handling efficiency according to claim 1, it is characterized in that, in described step 3), Service Processing Unit carries out dynamically increasing or reducing the number of threads for processing queue according to the number of queues processed in queue type and message queue of business datum, and the thread of unlatching takes out business datum from message queue according to the order of first in first out and processes.
5. a kind of method improving data-handling efficiency according to claim 1, it is characterized in that, the method of described raising data-handling efficiency also includes the calculating of business data processing duration, after the operation process task being calculated as Service Processing Unit process finishing service data of described business data processing duration, calculating and update the handling duration of business datum, described business data processing duration is the difference processing deadline and process time started of business datum.
6. a kind of method improving data-handling efficiency according to claim 5, it is characterized in that, the method of described raising data-handling efficiency also includes queue and maps the renewal of allocation list, described queue maps being updated to of allocation list and is compared with queue processing reference time length by the business data processing duration obtained in the calculating of business data processing duration, and dynamically updates queue mapping allocation list according to comparative result.
7. a kind of method improving data-handling efficiency according to claim 6, it is characterised in that when the business data processing time length ratio queue processing reference time length obtained is little, then comparative result be recorded as less than；When the business data processing time length ratio queue processing reference time length obtained is big, but when being not above one order of magnitude of queue processing reference time length, then comparative result be recorded as between；When the business data processing time length ratio queue processing reference time length obtained is big and exceedes one order of magnitude of queue processing reference time length, then comparative result be recorded as more than.
8. a kind of method improving data-handling efficiency according to claim 7, it is characterized in that, three business data processing durations of record continuously, after business data processing duration and queue processing benchmark, if obtained comparative result, when being smaller than for continuous three times, the process queue type of business datum is set to fast queue processing, updates queue and map allocation list；If obtained comparative result, when being all greater than for continuous three times, the process queue type of business datum is set to slow queue processing, updates queue and map allocation list；If obtained comparative result, between result occur once and be above time, then do not update queue and map allocation list.
9. the server of the method improving data-handling efficiency applied described in claim 1, it is characterised in that described server includes:
-receive unit, for receiving the business datum that data source sends；
-resolution unit, resolves for the business datum that described reception unit is received, obtains the operation flag position of described business datum；
-judging unit, resolves for resolution unit after obtaining operation flag position, maps allocation list by query request and obtain the process queue type of corresponding business datum；
-Service Processing Unit, is distributed to business datum the message queue of correspondence for the queue type that processes according to business datum, and performs the job task in message queue；And
-memory element, maps the execution number of times of allocation list and same treatment queue type business datum for storage queue.
10. a kind of application improves the server of the method for data-handling efficiency according to claim 8, it is characterised in that described server also includes computing unit, for calculating the handling duration of business datum；Described business data processing duration is the difference processed between deadline and process time started of business datum, and described memory element is additionally operable to storage service data handling duration.
11. a kind of application improves the server of the method for data-handling efficiency according to claim 9, it is characterized in that, described server also includes updating block, map allocation list for updating the history average treatment duration of business datum, the comparative result of business data processing duration and queue processing reference time length and queue, described memory element be additionally operable to the comparative result of storage service data handling duration and queue processing reference time length and update after queue mapping allocation list.
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| CN110908810A (en) * | 2019-10-30 | 2020-03-24 | 泰康保险集团股份有限公司 | Message transmission method and device |
| CN115102912A (en) * | 2022-07-28 | 2022-09-23 | 北京云中融信网络科技有限公司 | Method, device and system for distributing and controlling speed of network group message |
| CN115102912B (en) * | 2022-07-28 | 2023-08-08 | 北京云中融信网络科技有限公司 | Method, device and system for distributing and controlling speed of network group message |
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