CN105956108A - Heavy-load automatic processing method and system - Google Patents
Heavy-load automatic processing method and system Download PDFInfo
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- CN105956108A CN105956108A CN201610290314.9A CN201610290314A CN105956108A CN 105956108 A CN105956108 A CN 105956108A CN 201610290314 A CN201610290314 A CN 201610290314A CN 105956108 A CN105956108 A CN 105956108A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/217—Database tuning
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Abstract
The invention relates to a heavy-load automatic processing method and system. The method comprises the steps of S1, obtaining current service volume; S2, judging whether the current service volume belongs to a preset intermediate load range or not, finishing a process if the current volume of service belongs to the preset intermediate load range, or otherwise, performing an S3; S3, comparing a current process quantity with a preset processing process quantity lower limit value or a preset processing process quantity high limit value, and adjusting the current process quantity for the first time according to a comparison result; and S4, comparing the process quantity adjusted for the first time with the preset processing process quantity lower limit value or the preset processing process quantity high limit value, and adjusting the current process quantity for the second time according to the comparison result. According to the method and the system, a heavy-load system can be monitored full automatically; a monitoring threshold value can be adjusted flexibly; the operation is simple and convenient; the response is rapid; and the manpower cost is reduced.
Description
Technical field
The present invention relates to data processing field, particularly relate to the automatic processing method of a kind of high capacity and be
System.
Background technology
Often can run into the situation of load surge due to transaction processing system, cause Business Processing when surge
Duration increases, and pending number of services increases substantially, and needs increase process to process as early as possible, and increases process
While Database Systems pressure can be caused again to increase, unfavorable to data base's stable operation, therefore when daily
Need minimizing process in the case of load is not heavy, reduce database load.
Current in minicomputer background processing system, when processing the business that severe relies on data base, due to number
According to generally depositing by the mode of data value section or point table, cause can not reducing place portfolio is little when
Reason number of processes, cannot increase business process quantity portfolio is big when automatically.
In prior art, common solution is: the system that 1, monitors is in process underload or height
Load condition;2, amendment configuration is decreased or increased number of processes, or adjusts startup command parameter;3、
Reboot process program;4, monitoring is continued.
Common solution is the highest to monitoring personnel requirement, and staff needs to be familiar with through for a long time
System also understands the meaning of parameters, it is necessary to be familiar with systematic function and order, simultaneously need to monitor always
System mode, if portfolio sudden change, needs repeatedly to revise parameter.This all the period of time manual monitoring and behaviour
The mode made, workload is big, personnel's pressure is big, human cost is high, erroneous judgement easily occurs, fails to judge and miss
The situations such as operation.Issue handling duration is affected greatly by personnel's situation, it is impossible to summary responses also process, to place
The basic quality of reason personnel requires height.
Summary of the invention
The technical problem to be solved is for the deficiencies in the prior art, it is provided that a kind of high capacity
Automatic processing method and system.
The technical scheme is that the side of automatically processing of a kind of high capacity
Method, comprises the steps:
Step S1, obtains current traffic;
Step S2, it is judged that whether current traffic belongs to default shoulder load scope, the most then flow process knot
Bundle, otherwise performs S3;
Step S3, by current process quantity and default treatment progress quantity determined threshold or default treatment progress number
Amount ceiling value is compared, and adjusts described current process quantity for the first time according to comparison result;
Step S4, the number of processes after adjusting for the first time and default treatment progress quantity determined threshold or default
Treatment progress quantity ceiling value comparison, adjusts current process quantity according to comparison result second time.
The invention has the beneficial effects as follows: the present invention can carry out Full-automatic monitoring to high-load system, it is possible to
Realize Full-automatic monitoring and operation, current process quantity is matched with database load, it is ensured that data base
Stable operation, easy and simple to handle, process in time, response rapidly, saves human cost.
On the basis of technique scheme, the present invention can also do following improvement.
Further, in step S2, presetting portfolio underload ident value in shoulder load scope is a,
Portfolio high load capacity ident value is b, it is judged that whether current traffic belongs to the tool of default shoulder load scope
Body is embodied as:
If a is < current traffic < b, then flow process terminates;
If current traffic≤a or current traffic >=b, then perform S3.
Above-mentioned further scheme is used to provide the benefit that: by by current traffic and default shoulder load
Scope comparison, it may be judged whether need number of processes is adjusted, thus realize automatically monitoring current business
The effect of amount.
Further, being implemented as of step S3:
If current traffic≤a, current process quantity is entered with described default treatment progress quantity determined threshold
Row comparison, if current process quantity≤described default treatment progress quantity determined threshold, then flow process terminates, no
Then current process quantity is reduced a step value;
If current traffic >=b, current process quantity is entered with described default treatment progress quantity ceiling value
Row comparison, if current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, no
Then current process quantity is increased a step value.
Above-mentioned further scheme is used to provide the benefit that: by by current process quantity and described default place
Reason number of processes determined threshold or described default treatment progress quantity ceiling value are compared, can be at process number
On the premise of amount disclosure satisfy that business demand, system is not operated, it is ensured that the operational efficiency of system.
Further, being implemented as of step S4:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
Above-mentioned further scheme is used to provide the benefit that: by by current process quantity and described default place
Reason number of processes determined threshold or described default treatment progress quantity ceiling value are compared, can be at process number
On the premise of amount deviation ultimate value, number of processes is automatically adjusted, it is ensured that data base's is properly functioning.
Further, described current process quantity is reduced a step value by step S3 or increases by one
Step value realizes by adjusting process configuration file;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
Above-mentioned further scheme is used to provide the benefit that: to be carried out the tune of relevant parameter by configuration file
Whole, it is simple to operator's learning and mastering, parameter adjustment has motility and the accuracy of height.
The another kind of technical scheme that the present invention solves above-mentioned technical problem is as follows: the automatic place of a kind of high capacity
Reason system, including portfolio acquisition module, portfolio judge module, the first number of processes adjusting module and
Second number of processes adjusting module;
Described portfolio acquisition module, is used for obtaining current traffic;
Described portfolio judge module, is used for judging whether current traffic belongs to default shoulder load model
Enclose, the most then flow process terminates, and otherwise triggers the first number of processes adjusting module;
Described first number of processes adjusting module, for by current process quantity and default treatment progress quantity
Determined threshold or default treatment progress quantity ceiling value are compared, and adjust described for the first time according to comparison result
Current process quantity;
Described second number of processes adjusting module, the number of processes after adjusting for the first time and default place
Reason number of processes determined threshold or default treatment progress quantity ceiling value comparison, adjust according to comparison result second time
Whole current process quantity.
The invention has the beneficial effects as follows: the present invention can carry out Full-automatic monitoring to high-load system, it is possible to
Realize Full-automatic monitoring and operation, current process quantity is matched with database load, it is ensured that data base
Stable operation, easy and simple to handle, process in time, response rapidly, saves human cost.
On the basis of technique scheme, the present invention can also do following improvement.
Further, presetting portfolio underload ident value in shoulder load scope is a, and portfolio height is born
Lotus ident value is b, and described portfolio judge module judges whether current traffic belongs to default shoulder load
Being implemented as of scope:
If a is < current traffic < b, then flow process terminates;
If current traffic≤a or current traffic >=b, then trigger the first number of processes adjusting module.
Above-mentioned further scheme is used to provide the benefit that: by by current traffic and default shoulder load
Scope comparison, it may be judged whether need number of processes is adjusted, thus realize automatically monitoring current business
The effect of amount.
Further, being implemented as of described first number of processes adjusting module:
If current traffic≤a, current process quantity is entered with described default treatment progress quantity determined threshold
Row comparison, if current process quantity≤described default treatment progress quantity determined threshold, then flow process terminates, no
Then current process quantity is reduced a step value;
If current traffic >=b, current process quantity is entered with described default treatment progress quantity ceiling value
Row comparison, if current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, no
Then current process quantity is increased a step value.
Above-mentioned further scheme is used to provide the benefit that: by by current process quantity and described default place
Reason number of processes determined threshold or described default treatment progress quantity ceiling value are compared, can be at process number
On the premise of amount disclosure satisfy that business demand, system is not operated, it is ensured that the operational efficiency of system.
Further, being implemented as of described second number of processes adjusting module:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
Above-mentioned further scheme is used to provide the benefit that: by by current process quantity and described default place
Reason number of processes determined threshold or described default treatment progress quantity ceiling value are compared, can be at process number
On the premise of amount deviation ultimate value, number of processes is automatically adjusted, it is ensured that data base's is properly functioning.
Further, described current process quantity is reduced a step by described first number of processes adjusting module
Enter value or increase a step value by adjusting the realization of process configuration file;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
Above-mentioned further scheme is used to provide the benefit that: to be carried out the tune of relevant parameter by configuration file
Whole, it is simple to operator's learning and mastering, parameter adjustment has motility and the accuracy of height.
Accompanying drawing explanation
Fig. 1 is the automatic processing method flow chart of a kind of high capacity of the present invention;
Fig. 2 is the automated processing system structure chart of a kind of high capacity of the present invention.
Detailed description of the invention
Being described principle and the feature of the present invention below in conjunction with accompanying drawing, example is served only for explaining this
Invention, is not intended to limit the scope of the present invention.
Fig. 1 is the automatic processing method flow chart of a kind of high capacity of the present invention;
As it is shown in figure 1, the automatic processing method of a kind of high capacity, comprise the steps:
Step S1, obtains current traffic;
Step S2, it is judged that whether current traffic belongs to default shoulder load scope, the most then flow process knot
Bundle, otherwise performs S3;
In a particular embodiment of the present invention, presetting portfolio underload ident value in shoulder load scope is
A, portfolio high load capacity ident value is b, it is judged that whether current traffic belongs to default shoulder load scope
It is implemented as: if a is < current traffic < b, then flow process terminates;If current traffic≤a or current
Portfolio >=b, then perform S3.
Step S3, by current process quantity and default treatment progress quantity determined threshold or default treatment progress number
Amount ceiling value is compared, and adjusts described current process quantity for the first time according to comparison result;
In a particular embodiment of the present invention, being implemented as of step S3: according to current traffic
Span, is divided into two kinds of situations to be adjusted: if current traffic≤a, by current process quantity with
Described default treatment progress quantity determined threshold is compared, if current process quantity≤described default process into
Number of passes amount determined threshold, then flow process terminates, and otherwise current process quantity is reduced a step value;If it is current
Portfolio >=b, compares current process quantity with described default treatment progress quantity ceiling value, if
Current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, and otherwise ought advance
Number of passes amount increases a step value.
In a particular embodiment of the present invention, described current process quantity is reduced a step value or increase
One step value realizes by adjusting process configuration file;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
Step S4, the number of processes after adjusting for the first time and default treatment progress quantity determined threshold or default
Treatment progress quantity ceiling value comparison, adjusts current process quantity according to comparison result second time.
In a particular embodiment of the present invention, being implemented as of step S4:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
Fig. 2 is the automated processing system structure chart of a kind of high capacity of the present invention.
As in figure 2 it is shown, the automated processing system of a kind of high capacity, including portfolio acquisition module, business
Amount judge module, the first number of processes adjusting module and the second number of processes adjusting module;
Described portfolio acquisition module, is used for obtaining current traffic;
Described portfolio judge module, is used for judging whether current traffic belongs to default shoulder load model
Enclose, the most then flow process terminates, and otherwise triggers the first number of processes adjusting module;
In a particular embodiment of the present invention, presetting portfolio underload ident value in shoulder load scope is
A, portfolio high load capacity ident value is b, and described portfolio judge module judges whether current traffic belongs to
Being implemented as of default shoulder load scope:
If a is < current traffic < b, then flow process terminates;
If current traffic≤a or current traffic >=b, then trigger the first number of processes adjusting module.
Described first number of processes adjusting module, for by current process quantity and default treatment progress quantity
Determined threshold or default treatment progress quantity ceiling value are compared, and adjust described for the first time according to comparison result
Current process quantity;
In a particular embodiment of the present invention, being implemented as of described first number of processes adjusting module:
If current traffic≤a, current process quantity is entered with described default treatment progress quantity determined threshold
Row comparison, if current process quantity≤described default treatment progress quantity determined threshold, then flow process terminates, no
Then current process quantity is reduced a step value;
If current traffic >=b, current process quantity is entered with described default treatment progress quantity ceiling value
Row comparison, if current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, no
Then current process quantity is increased a step value.
In a particular embodiment of the present invention, described first number of processes adjusting module is by described current process
Quantity reduces a step value or increases a step value by adjusting the realization of process configuration file;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
Described second number of processes adjusting module, the number of processes after adjusting for the first time and default place
Reason number of processes determined threshold or default treatment progress quantity ceiling value comparison, adjust according to comparison result second time
Whole current process quantity.
In a particular embodiment of the present invention, being implemented as of described second number of processes adjusting module:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
In the description of this specification, reference term " embodiment one ", " embodiment two ", " example ",
The description of " concrete example " or " some examples " etc. means to combine this embodiment or the tool of example description
Body method, device or feature are contained at least one embodiment or the example of the present invention.In this explanation
In book, the schematic representation of above-mentioned term is necessarily directed to identical embodiment or example.And,
The specific features, method, device or the feature that describe can be with in one or more embodiments in office or examples
Combine in an appropriate manner.Additionally, in the case of the most conflicting, those skilled in the art is permissible
The feature of the different embodiments described in this specification or example and different embodiment or example is carried out
In conjunction with and combination.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all in the present invention
Spirit and principle within, any modification, equivalent substitution and improvement etc. made, should be included in this
Within bright protection domain.
Claims (10)
1. the automatic processing method of a high capacity, it is characterised in that comprise the steps:
Step S1, obtains current traffic;
Step S2, it is judged that whether current traffic belongs to default shoulder load scope, the most then flow process knot
Bundle, otherwise performs S3;
Step S3, by current process quantity and default treatment progress quantity determined threshold or default treatment progress number
Amount ceiling value is compared, and adjusts described current process quantity for the first time according to comparison result;
Step S4, the number of processes after adjusting for the first time and default treatment progress quantity determined threshold or default
Treatment progress quantity ceiling value comparison, adjusts current process quantity according to comparison result second time.
The automatic processing method of a kind of high capacity the most according to claim 1, it is characterised in that step
In rapid S2, presetting portfolio underload ident value in shoulder load scope is a, and portfolio high load capacity identifies
Value is for b, it is judged that whether current traffic belongs to being implemented as of default shoulder load scope:
If a is < current traffic < b, then flow process terminates;
If current traffic≤a or current traffic >=b, then perform S3.
The automatic processing method of a kind of high capacity the most according to claim 2, it is characterised in that step
Rapid S3 is implemented as:
If current traffic≤a, current process quantity is entered with described default treatment progress quantity determined threshold
Row comparison, if current process quantity≤described default treatment progress quantity determined threshold, then flow process terminates, no
Then current process quantity is reduced a step value;
If current traffic >=b, current process quantity is entered with described default treatment progress quantity ceiling value
Row comparison, if current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, no
Then current process quantity is increased a step value.
The automatic processing method of a kind of high capacity the most according to claim 3, it is characterised in that step
Rapid S4 is implemented as:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
The automatic processing method of a kind of high capacity the most according to claim 3, it is characterised in that step
Described current process quantity is reduced a step value by rapid S3 or one step value of increase is by adjusting
Process configuration file realizes;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
6. the automated processing system of a high capacity, it is characterised in that include portfolio acquisition module,
Portfolio judge module, the first number of processes adjusting module and the second number of processes adjusting module;
Described portfolio acquisition module, is used for obtaining current traffic;
Described portfolio judge module, is used for judging whether current traffic belongs to default shoulder load model
Enclose, the most then flow process terminates, and otherwise triggers the first number of processes adjusting module;
Described first number of processes adjusting module, for by current process quantity and default treatment progress quantity
Determined threshold or default treatment progress quantity ceiling value are compared, and adjust described for the first time according to comparison result
Current process quantity;
Described second number of processes adjusting module, the number of processes after adjusting for the first time and default place
Reason number of processes determined threshold or default treatment progress quantity ceiling value comparison, adjust according to comparison result second time
Whole current process quantity.
The automated processing system of a kind of high capacity the most according to claim 6, it is characterised in that pre-
If portfolio underload ident value is a in shoulder load scope, portfolio high load capacity ident value is b, institute
State portfolio judge module and judge whether current traffic belongs to implementing of default shoulder load scope
For:
If a is < current traffic < b, then flow process terminates;
If current traffic≤a or current traffic >=b, then trigger the first number of processes adjusting module.
The automated processing system of a kind of high capacity the most according to claim 7, it is characterised in that institute
State being implemented as of the first number of processes adjusting module:
If current traffic≤a, current process quantity is entered with described default treatment progress quantity determined threshold
Row comparison, if current process quantity≤described default treatment progress quantity determined threshold, then flow process terminates, no
Then current process quantity is reduced a step value;
If current traffic >=b, current process quantity is entered with described default treatment progress quantity ceiling value
Row comparison, if current process quantity >=described default treatment progress quantity ceiling value, then flow process terminates, no
Then current process quantity is increased a step value.
The automated processing system of a kind of high capacity the most according to claim 8, it is characterised in that institute
State being implemented as of the second number of processes adjusting module:
If presetting treatment progress quantity determined threshold described in current process quantity < after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity determined threshold;
If presetting treatment progress quantity ceiling value described in current process quantity > after adjusting for the first time, then will
Current process quantity is adjusted to described default treatment progress quantity ceiling value.
The automated processing system of a kind of high capacity the most according to claim 8, it is characterised in that
Described current process quantity is reduced a step value or increases by one by described first number of processes adjusting module
Individual step value realizes by adjusting process configuration file;
Described configuration file includes process running environment, checks interface, step value, number of processes and height
The configuration of the relation of load ident value, order, filename, path, restart mode and real time detecting process
Inspection intervals.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111179080A (en) * | 2019-12-23 | 2020-05-19 | 中国建设银行股份有限公司 | Order processing method and order processing device |
CN113722073A (en) * | 2021-09-15 | 2021-11-30 | 中国银行股份有限公司 | Transaction matching processing method and device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110282832A1 (en) * | 2010-05-14 | 2011-11-17 | Rishel William S | Load balancing in parallel database systems using multi-reordering |
CN103188730A (en) * | 2011-12-31 | 2013-07-03 | 中国移动通信集团山东有限公司 | System resource load regulating system and method and device and equipment regulating server |
CN103488728A (en) * | 2013-09-17 | 2014-01-01 | 北京思特奇信息技术股份有限公司 | Method and device for dynamic scaling adjustment of number of processes in business system |
-
2016
- 2016-05-04 CN CN201610290314.9A patent/CN105956108B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110282832A1 (en) * | 2010-05-14 | 2011-11-17 | Rishel William S | Load balancing in parallel database systems using multi-reordering |
CN103188730A (en) * | 2011-12-31 | 2013-07-03 | 中国移动通信集团山东有限公司 | System resource load regulating system and method and device and equipment regulating server |
CN103488728A (en) * | 2013-09-17 | 2014-01-01 | 北京思特奇信息技术股份有限公司 | Method and device for dynamic scaling adjustment of number of processes in business system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111179080A (en) * | 2019-12-23 | 2020-05-19 | 中国建设银行股份有限公司 | Order processing method and order processing device |
CN111179080B (en) * | 2019-12-23 | 2023-10-27 | 中国建设银行股份有限公司 | Order processing method and order processing device |
CN113722073A (en) * | 2021-09-15 | 2021-11-30 | 中国银行股份有限公司 | Transaction matching processing method and device |
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