CN103905267A - Data monitoring method and data monitoring device - Google Patents
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- CN103905267A CN103905267A CN201210585010.7A CN201210585010A CN103905267A CN 103905267 A CN103905267 A CN 103905267A CN 201210585010 A CN201210585010 A CN 201210585010A CN 103905267 A CN103905267 A CN 103905267A
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Abstract
The invention provides a data monitoring method and a data monitoring device. The method comprises the following steps: a first-in-first-out queue is created, wherein the length of the first-in-first-out queue is preset; data request monitoring is performed, whether the first-in-first-out queue is full is identified when a data request is monitored, the monitored data request is recorded in the first-in-first-out queue when the first-in-first-out queue is not full, and when the first-in-first-out queue is full, a data request first coming in the first-in-first-out queue is removed out of the first-in-first-out queue, and the monitored data request is recorded in the first-in-first-out queue; and whether the number of data requests for the same data object in the first-in-first-out queue exceeds a set threshold value is judged, and the data object is determined as hot data if the number of data requests for the same data object in the first-in-first-out queue exceeds the set threshold value.
Description
Technical field
The application relates to Internet technology, particularly a kind of data monitoring method and device.
Background technology
In internet, applications, hot spot data itself has following characteristic: transience, aggregation and uncertainty.Wherein, the transience of hot spot data, refers to and represents that the lasting time of hot spot data is shorter, is approximately second level or a minute level, the aggregation of hot spot data, refer to the gathering to a certain hot spot data, such as Liu Xiang has delivered a Twitter message, because Liu Xiang's bean vermicelli is many, so can there be at once this Twitter message of mass users request, formed a kind of gathering, and the uncertainty of hot spot data refers to appearance and the end time that cannot estimate hot spot data.
At present, prior art provides following hot spot data method for supervising:
Referring to Fig. 1, Fig. 1 is hot spot data monitoring flow chart in prior art.As shown in Figure 1, this flow process can comprise the following steps:
Here, setting-up time can be the time of one day, also can be the time of the time of one week, even one month etc.
In addition, in this step 101, suppose that the set time section that is divided into as shown in Figure 2, is T1, T2, T3.
Take the T1 time period shown in Fig. 2 as example, this step 102 just need to be added up the request amount R for each data object in this T1.
Still take the T1 time period shown in Fig. 2 as example, if in step 102, the request amount that counts Liu Xiang's Twitter message is R, relatively this R and set point H, if this R is more than or equal to H, the Twitter message of judging Liu Xiang is hot spot data, otherwise, if R is less than H, the Twitter message of judging Liu Xiang is not hot spot data.
Still take the T1 time period shown in Fig. 2 as example, no matter in step 103, the Twitter message that determines Liu Xiang is that hot spot data is not still hot spot data, after the T1 time period finishes, Liu Xiang's the request amount R clear 0 of Twitter message will be counted in the T1 time, and go to T2, again add up the request amount of Liu Xiang's Twitter message in the T2 time.
So far, complete flow process shown in Fig. 1.
Can find out from flow process described in Fig. 1, in existing hot spot data method for supervising, every through one regular time section, capital is by clear the request amount of arbitrary data object in a upper set time section 0, and still, hot spot data itself is continuous, if every through one regular time section, capital, by clear the request amount of arbitrary data object in a upper set time section 0, can cause the location of hot spot data to occur error, affects the monitoring of hot spot data.
Summary of the invention
The application provides a kind of data monitoring method and device, accurately orients hot spot data to realize, and improves the accuracy of hot spot data monitoring.
The technical scheme that the application provides comprises:
A kind of data monitoring method, the method comprises:
Create a fifo queue, the length of described fifo queue presets;
Monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, the request of data monitoring is recorded to described fifo queue, in the time that described fifo queue is full, from described fifo queue, shifts out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue;
Judge in described fifo queue, whether the data request amount for same data object exceedes setting threshold, if so, this data object is defined as to hot spot data.
A kind of data monitoring device, this device comprises: queue module, monitoring module, the first logging modle, the second logging modle and judge module; Wherein,
Queue module, for creating a fifo queue, the length of described fifo queue presets;
Monitoring module, for monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, send first notice to the first logging modle, in the time that described fifo queue is full, send the second notice to the second logging modle;
The first logging modle, for receiving after described the first notice, the request of data that described monitoring module is monitored is recorded to described fifo queue;
The second logging modle for receiving after described the second notice, shifts out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue from described fifo queue;
Judge module, for judging that whether described fifo queue exceedes setting threshold for the data request amount of same data object, if so, is defined as hot spot data by this data object.
As can be seen from the above technical solutions, in the present invention, in the time determining hot spot data, not as depending on the discrete time period in prior art, but dynamic dependency is in the request of data receiving, this meets hot spot data own characteristic completely, and the present invention also can, by clear request of data 0, not there will not be hot spot data position error, this can accurately orient hot spot data, improves the accuracy of hot spot data monitoring.
Accompanying drawing explanation
Fig. 1 is hot spot data monitoring flow chart in prior art;
Fig. 2 is hot spot data monitoring schematic diagram in prior art;
The method flow diagram that Fig. 3 provides for the embodiment of the present invention;
The data request amount statistical chart that Fig. 4 provides for the embodiment of the present invention;
The application schematic diagram that Fig. 5 a provides for the embodiment of the present invention;
The Another Application schematic diagram that Fig. 5 b provides for the embodiment of the present invention;
The structure drawing of device that Fig. 6 provides for the embodiment of the present invention.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearer, describe the present invention below in conjunction with the drawings and specific embodiments.
Method provided by the invention comprises the flow process shown in Fig. 3:
Referring to Fig. 3, the method flow diagram that Fig. 3 provides for the embodiment of the present invention.As shown in Figure 3, this flow process can comprise the following steps:
Step 301, creates a fifo queue.
Here, the fifo queue length of establishment can arrange based on experience value, and the present invention does not specifically limit.
Step 302, monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, the request of data monitoring is recorded to described fifo queue, in the time that described fifo queue is full, from described fifo queue, shift out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue.
Step 303, judges in described fifo queue for the quantity of the request of data of same data object whether exceed setting threshold, if so, this data object is defined as to hot spot data.
In the present invention, setting threshold can rule of thumb arrange, and does not specifically limit here.
Preferably, in the present invention, for ease of performing step the judgement in 303, need to add up for the request of data quantity of each data object, be specifically described below:
Wherein, for the ease of adding up the request of data quantity of each data object, the present invention can be after monitoring request of data, the following steps shown in execution graph 4:
Step 401, if described fifo queue less than, perform step 402 to step 403, if fifo queue is full, and shift out the request of data that enters at first this fifo queue from described fifo queue after, execution step 404 is to step 405.
The present invention, for each request of data, it can carry needs the data object of request such as the mark of Twitter message, based on this, the data object tag that this step 402 can be carried from the request of data monitoring, identify this request of data for data object.
Preferably, in the present invention, the first set point, the second set point can equate, such as being 1, certainly also can be unequal, and the present invention does not specifically limit.For ease of understanding the present invention, be below all 1 as example take the first set point, the second set point.
This step 404 is similar with above-mentioned steps 402, repeats no more here.
So far, can dynamic statistics go out the data request amount of each data object by step 401 to step 405.So, in above-mentioned steps 303, data request amount that just can be based on this each data object counting, judges in described fifo queue for the quantity of the request of data of same data object whether exceed setting threshold.
So far, complete flow process shown in Fig. 3.
With a specific embodiment, above-mentioned Fig. 3 is described in conjunction with the flow process shown in Fig. 4 below:
If create a fifo queue, in the time that the request of data of certain data object enters this queue, the data request amount of this data object is added to 1, if now request of data is as shown in Figure 5 a in fifo queue.In Fig. 5 a, if request of data 1 representative data object 1 is such as the request of XX Twitter message, request of data 2 representative data objects 2 are such as the request of XXX Twitter message, request of data 3 representative data objects 3, such as the request of XXXX Twitter message, can find out from Fig. 5 a, and now the data request amount of data object 1 is 3, the data request amount of data object 2, data object 3 is 1, if above-mentioned setting threshold is 3,, based on describing above, directly specified data object 1 is hot spot data.If fifo queue length is the length of 5 request of data, the fifo queue shown in Fig. 5 a is full, if monitor again a request of data such as request of data 2, just need to by Fig. 5 a most advanced enter the request of data of queue such as the request of data 1 on the right side in Fig. 5 a shifts out, so that fifo queue reserves position and records this current request of data monitoring 2, specifically as shown in Figure 5 b.Now, just the data request amount of data object 1 need to be subtracted to 1, the data request amount using final result as this data object 1.Can find out from Fig. 5 b, now the data request amount of data object 1,2 is 2, and the data request amount of data object 3 is 1, if above-mentioned setting threshold is 3,, based on describing, there is no at present hot spot data above.
From describing and can find out above, in the present invention, in the time determining hot spot data, not as depending on the request amount that the discrete time period receives in prior art, but dynamic dependency is in request of data, this meets hot spot data own characteristic completely, and, the present invention also can, by clear the data request amount of data object 0, not there will not be hot spot data position error.
In addition, in the present invention, fifo queue less than time, the request of data monitoring is recorded to fifo queue and specifically can realizes by following two kinds of modes:
Mode 1:
The manner 1 time, fifo queue less than time, the request of data monitoring is recorded to fifo queue and comprises:
Identify and in described fifo queue, whether have request of data, if not, the request of data monitoring is recorded to the tail of the queue of described fifo queue, if so, the request of data monitoring is recorded to the clear position meeting the following conditions in described fifo queue: first clear position from the tail of the queue of described fifo queue to head of the queue direction.
By above-mentioned steps, can guarantee that the request of data entering at first in fifo queue is recorded to tail of the queue, guarantee that fifo queue is all the time along the direction record data request from tail of the queue to head of the queue.
Based on mode 1, in the time that fifo queue is full, the described request of data that enters at first this fifo queue that shifts out from fifo queue comprises: from described fifo queue, shift out the request of data in tail of the queue.Correspondingly, in the time that fifo queue is full, shift out the request of data that enters at first this fifo queue from fifo queue after, the request of data monitoring is recorded to fifo queue can be comprised:
By request of data current described fifo queue, to the request of data having shifted out, move the position in described fifo queue in turn, completing after movement, the request of data monitoring is recorded to the clear position in described fifo queue.Like this, also can guarantee that the request of data entering at first in fifo queue is recorded to tail of the queue, guarantee that fifo queue is all the time along the direction record data request from tail of the queue to head of the queue.
So far, complete the description of mode 1.
Below mode 2 is described:
Mode 2:
Than mode 1, the manner 2 is more flexible, does not need fifo queue all the time according to the direction record data request from tail of the queue to head of the queue, and, the manner 2 does not need fifo queue in strict accordance with journal request of data, is described below yet:
The manner 2 times, described fifo queue less than time, describedly the request of data monitoring be recorded to fifo queue comprise:
Identify and in described fifo queue, whether have request of data, if not, mark setting identification in the request of data monitoring, and be recorded to described fifo queue, if so, directly the request of data monitoring is recorded to the clear position in described fifo queue; Wherein, described setting identification is for representing to enter at first the mark of fifo queue.
Based on mode 2, in the time that fifo queue is full, the described request of data that enters at first this fifo queue that shifts out from fifo queue can comprise:
The request of data of described setting identification that shifted out mark from described fifo queue.
Similarly, based on mode 2, in the time that fifo queue is full, shift out the request of data that enters at first this fifo queue from fifo queue after, the request of data monitoring is recorded to fifo queue can be comprised:
From the current request of data of described fifo queue, identify the request of data that enters at first this fifo queue, wherein, this identification can be dependent on the entry time of each request of data in fifo queue to be determined, fairly simple, repeats no more here;
Setting identification described in mark in this request of data identifying, is recorded to the request of data monitoring the position of the request of data having shifted out in described fifo queue.
So far, complete the description of mode 2.
Above method provided by the invention is described, below device provided by the invention is described:
Referring to Fig. 6, the structure drawing of device that Fig. 6 provides for the embodiment of the present invention.As shown in Figure 6, this device can comprise queue module, monitoring module, the first logging modle, the second logging modle and judge module; Wherein,
Queue module, for creating a fifo queue, the length of described fifo queue presets;
Monitoring module, for monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, send first notice to the first logging modle, in the time that described fifo queue is full, send the second notice to the second logging modle;
The first logging modle, for receiving after described the first notice, the request of data that described monitoring module is monitored is recorded to described fifo queue;
The second logging modle for receiving after described the second notice, shifts out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue from described fifo queue;
Judge module, for judging that whether described fifo queue exceedes setting threshold for the quantity of the request of data of same data object, if so, is defined as hot spot data by this data object.
Preferably, in the present invention, as shown in Figure 6, this device further comprises:
Statistical module, in the time that described monitoring module monitors request of data,
If described fifo queue less than, described in identification the request of data that monitors for data object, judge and in described fifo queue, whether had the request of data for this data object, if there is no, the first set point is recorded as to the data request amount for this data object, if existed, will add the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object; And,
If described fifo queue is full, identify request of data that described the second logging modle shifted out for data object, identify the data request amount for this data object having recorded, to deduct the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object.
In the present invention, the data request amount of the arbitrary data object of described judge module based on described statistical module counts judges in fifo queue for the quantity of the request of data of same data object whether exceed setting threshold.
As one embodiment of the present of invention, described the first logging modle is recorded to fifo queue by the request of data monitoring and comprises: identify in described fifo queue, whether there is request of data; If not, the request of data monitoring is recorded to the tail of the queue of described fifo queue, if so, the request of data monitoring is recorded to the clear position meeting the following conditions in described fifo queue: first clear position from the tail of the queue of described fifo queue to head of the queue direction;
Described the second logging modle shifts out the request of data that enters at first this fifo queue and comprises from fifo queue: from described fifo queue, shift out the request of data in tail of the queue;
Described the second logging modle is recorded to fifo queue by the request of data monitoring and comprises: by request of data current described fifo queue, to the request of data having shifted out, move the position in described fifo queue in turn, completing after movement, the request of data monitoring is recorded to the clear position in described fifo queue.
As an alternative embodiment of the invention, described the first logging modle is recorded to fifo queue by the request of data monitoring and comprises: identify in described fifo queue, whether there is request of data, if not, mark setting identification in the request of data monitoring, and be recorded to described fifo queue, if so, directly the request of data monitoring is recorded to the clear position in described fifo queue; Wherein, described setting identification is for representing to enter at first the mark of fifo queue;
Described the second logging modle shifts out the request of data that enters at first this fifo queue and comprises from fifo queue: the request of data of described setting identification that shifted out mark from described fifo queue;
Described the second logging modle is recorded to fifo queue by the request of data monitoring and comprises: from the current request of data of described fifo queue, identify the request of data that enters at first this fifo queue, setting identification described in mark in this request of data identifying, is recorded to the request of data monitoring the position of the request of data having shifted out in described fifo queue.
So far, complete the unit describe shown in Fig. 6.
As can be seen from the above technical solutions, in the present invention, in the time determining hot spot data, not as depending on the discrete time period in prior art, but dynamic dependency is in the request of data receiving, this meets hot spot data own characteristic completely, and the present invention also can, by clear request of data 0, not there will not be hot spot data position error, this can accurately orient hot spot data, improves the accuracy of hot spot data monitoring.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.
Claims (14)
1. a data monitoring method, is characterized in that, the method comprises:
Create a fifo queue, the length of described fifo queue presets;
Monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, the request of data monitoring is recorded to described fifo queue, in the time that described fifo queue is full, from described fifo queue, shifts out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue;
Judge in described fifo queue, whether the data request amount for same data object exceedes setting threshold, if so, this data object is defined as to hot spot data.
2. method according to claim 1, is characterized in that, described fifo queue less than time, describedly the request of data monitoring be recorded to fifo queue further comprise:
The request of data monitoring described in identification for data object;
Judge and in described fifo queue, whether had the request of data for this data object, if there is no, the first set point is recorded as to the data request amount for this data object, if existed, to add the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object.
3. method according to claim 2, it is characterized in that, in the time that described fifo queue is full, the described request of data that enters at first this fifo queue that shifts out from fifo queue, and the request of data monitoring is recorded to fifo queue further comprises:
Identify this request of data shifting out for data object;
Identify the data request amount for this data object having recorded, will deduct the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object.
4. according to the method in claim 2 or 3, it is characterized in that, describedly judge in fifo queue whether the data request amount for same data object exceedes setting threshold and comprise:
Data request amount according to each data object recording judges in fifo queue, whether the data request amount for same data object exceedes setting threshold.
5. method according to claim 1, is characterized in that,
Fifo queue less than time, describedly the request of data monitoring be recorded to fifo queue comprise:
Identify and in described fifo queue, whether have request of data;
If not, the request of data monitoring is recorded to the tail of the queue of described fifo queue,
If so, the request of data monitoring is recorded to the clear position meeting the following conditions in described fifo queue: first clear position from the tail of the queue of described fifo queue to head of the queue direction.
6. method according to claim 5, is characterized in that, the described request of data that enters at first this fifo queue that shifts out from fifo queue comprises: from described fifo queue, shift out the request of data in tail of the queue.
7. method according to claim 5, is characterized in that, in the time that described fifo queue is full, describedly the request of data monitoring is recorded to fifo queue comprises:
By request of data current described fifo queue, to the request of data having shifted out, move the position in described fifo queue in turn, completing after movement, the request of data monitoring is recorded to the clear position in described fifo queue.
8. method according to claim 1, is characterized in that,
Described fifo queue less than time, describedly the request of data monitoring be recorded to fifo queue comprise:
Identify and in described fifo queue, whether have request of data, if not, mark setting identification in the request of data monitoring, and be recorded to described fifo queue, if so, directly the request of data monitoring is recorded to the clear position in described fifo queue;
Wherein, described setting identification is for representing to enter at first the mark of fifo queue.
9. method according to claim 8, is characterized in that, the described request of data that enters at first this fifo queue that shifts out from fifo queue comprises:
The request of data of described setting identification that shifted out mark from described fifo queue.
10. method according to claim 8, is characterized in that, at described fifo queue completely time, describedly the request of data monitoring is recorded to fifo queue comprises:
From the current request of data of described fifo queue, identify the request of data that enters at first this fifo queue, setting identification described in mark in this request of data identifying, is recorded to the request of data monitoring the position of the request of data having shifted out in described fifo queue.
11. 1 kinds of data monitoring devices, is characterized in that, this device comprises: queue module, monitoring module, the first logging modle, the second logging modle and judge module; Wherein,
Queue module, for creating a fifo queue, the length of described fifo queue presets;
Monitoring module, for monitor data request, in the time monitoring request of data, whether fullly identify described fifo queue, described fifo queue less than time, send first notice to the first logging modle, in the time that described fifo queue is full, send the second notice to the second logging modle;
The first logging modle, for receiving after described the first notice, the request of data that described monitoring module is monitored is recorded to described fifo queue;
The second logging modle for receiving after described the second notice, shifts out the request of data that enters at first this fifo queue, and the request of data monitoring is recorded to described fifo queue from described fifo queue;
Judge module, for judging that whether described fifo queue exceedes setting threshold for the data request amount of same data object, if so, is defined as hot spot data by this data object.
12. devices according to claim 11, is characterized in that, this device further comprises:
Statistical module, in the time that described monitoring module monitors request of data,
If described fifo queue less than, described in identification the request of data that monitors for data object, judge and in described fifo queue, whether had the request of data for this data object, if there is no, the first set point is recorded as to the data request amount for this data object, if existed, will add the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object; And,
If described fifo queue is full, identify request of data that described the second logging modle shifted out for data object, identify the data request amount for this data object having recorded, to deduct the second set point for the data request amount of this data object, final result is recorded as to the data request amount for this data object;
The data request amount of the arbitrary data object of described judge module based on described statistical module counts judges in fifo queue, whether the data request amount for same data object exceedes setting threshold.
13. devices according to claim 11, is characterized in that, described the first logging modle is recorded to fifo queue by the request of data monitoring and comprises: identify in described fifo queue, whether there is request of data; If not, the request of data monitoring is recorded to the tail of the queue of described fifo queue, if so, the request of data monitoring is recorded to the clear position meeting the following conditions in described fifo queue: first clear position from the tail of the queue of described fifo queue to head of the queue direction;
Described the second logging modle shifts out the request of data that enters at first this fifo queue and comprises from fifo queue: from described fifo queue, shift out the request of data in tail of the queue;
Described the second logging modle is recorded to fifo queue by the request of data monitoring and comprises: by request of data current described fifo queue, to the request of data having shifted out, move the position in described fifo queue in turn, completing after movement, the request of data monitoring is recorded to the clear position in described fifo queue.
14. devices according to claim 11, it is characterized in that, described the first logging modle is recorded to fifo queue by the request of data monitoring and comprises: identify in described fifo queue, whether there is request of data, if not, mark setting identification in the request of data monitoring, and be recorded to described fifo queue, if so, directly the request of data monitoring is recorded to the clear position in described fifo queue; Wherein, described setting identification is for representing to enter at first the mark of fifo queue;
Described the second logging modle shifts out the request of data that enters at first this fifo queue and comprises from fifo queue: the request of data of described setting identification that shifted out mark from described fifo queue;
Described the second logging modle is recorded to fifo queue by the request of data monitoring and comprises: from the current request of data of described fifo queue, identify the request of data that enters at first this fifo queue, setting identification described in mark in this request of data identifying, is recorded to the request of data monitoring the position of the request of data having shifted out in described fifo queue.
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| CN111242754A (en) * | 2018-11-13 | 2020-06-05 | 北京嘀嘀无限科技发展有限公司 | Account data updating method and device and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108156193A (en) * | 2016-12-02 | 2018-06-12 | 阿里巴巴集团控股有限公司 | A kind of hot spot determines method and system |
| CN108156193B (en) * | 2016-12-02 | 2022-08-19 | 阿里巴巴集团控股有限公司 | Hotspot determination method and system |
| CN111242754A (en) * | 2018-11-13 | 2020-06-05 | 北京嘀嘀无限科技发展有限公司 | Account data updating method and device and electronic equipment |
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