CN104102672A - Data information processing system and method - Google Patents
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- CN104102672A CN104102672A CN201310127731.8A CN201310127731A CN104102672A CN 104102672 A CN104102672 A CN 104102672A CN 201310127731 A CN201310127731 A CN 201310127731A CN 104102672 A CN104102672 A CN 104102672A
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- 230000001360 synchronised effect Effects 0.000 claims abstract description 29
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Abstract
The invention discloses a data information processing system and method. The system comprises a data synchronizing module, a log module and a data processing module, wherein the data synchronizing module is used for synchronizing static data in a production library into a statistical library; the log module is used for reading URL (Uniform Resource Locator) address data generated on a reading platform, extracting reading behavior data in the URL address data, and transmitting the reading behavior data into the statistical library after the static data are synchronized; the data processing module is used for counting and processing the static data and the reading behavior data stored in the statistical library according to a preset rule after the reading behavior data are transmitted. The data synchronizing module, the log module and the data processing module run in sequence, so that reading behaviors of a user can be analyzed accurately in time without updating hardware equipment.
Description
Technical field
The present invention relates to mobile phone application, espespecially a kind of processing data information system and method.
Background technology
Along with 3G network and smart mobile phone are popularized gradually, people start custom and dismiss the spare time by the mode that mobile phone is read.So mobile phone is read the emerging service that becomes each operator's emphasis contention.For better, more targetedly user is carried out to marketing activity, so operator proposes to carry out statistical study to cellphone subscriber's reading behavior, provides concrete support data, to make next step marketing strategy.To cellphone subscriber's reading behavior carry out statistical study just need to accomplish can be in time, accurately cellphone subscriber's reading behavior is added up, this just need to store, classify and analyze the data that produce in mobile phone reading process, yet the data volume producing in mobile phone reading process is huge, current promptness and the accuracy that can't simultaneously guarantee reading behavior statistics
Summary of the invention
The problem existing for prior art, the object of the present invention is to provide a kind of low cost, and the processing data information system and method that can carry out in time cellphone subscriber's reading behavior, analyze exactly.
For achieving the above object, processing data information system of the present invention, comprises data simultaneous module, log pattern and data processing module, wherein,
Described data simultaneous module is for being synchronized to the static data of storage facility located at processing plant in statistics storehouse;
Described log pattern is used for reading the URL address date producing on reading platform, and extracts the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data is sent in described statistics storehouse;
Described data processing module carries out statistical treatment for static data and the reading behavior data of according to pre-defined rule, described statistics storehouse having been stored after reading behavior data have transmitted.
Further, described log pattern comprises that log read module, log analysis module, judge module and daily record enter library module;
Described log read module is for reading the URL address date producing on reading platform;
It is synchronous that described judge module is used for judging whether described data simultaneous module has completed static data;
Described log analysis module is for extracting the reading behavior data of URL address date every the fixed cycle;
Described daily record enters library module and is sent to statistics library storage for the reading behavior data of after synchronously completing at static data, log analysis module being extracted.
Further, whether described log pattern basis generates synchronously to complete and shows to judge whether described data simultaneous module has completed the synchronous of static data.
Further, described data processing module comprises judge module and computation analysis module;
Described judge module is for judging that described daily record enters library module and whether completed the operation that reading behavior data are sent to described statistics storehouse;
Described computation analysis module, for being sent to behind described statistics storehouse in all reading behavior data, is carried out statistical treatment according to pre-defined rule to static data and reading behavior data.
Further, whether described data processing module basis generates to have put in storage and shows to judge that described daily record enters the transmission whether library module has completed reading behavior data.
Further, described processing data information system also comprises display module, for the result after described data processing module statistical treatment is shown.
Data information processing method of the present invention, comprises the steps:
1) static data in storage facility located at processing plant is synchronized in statistics storehouse;
2) read the URL address date producing on reading platform, and extract the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data are sent in described statistics storehouse;
3) reading behavior data are carried out statistical treatment according to pre-defined rule to static data and reading behavior data after having transmitted.
Further, step 1) is specially: after all static datas of storing in storage facility located at processing plant in a day are synchronized to statistics storehouse, generation synchronously completes table.
Further, step 2) in, whether whether synchronously complete be synchronously to complete table and judge according to generating to static data, if generated, synchronously complete table, static data synchronously completes; Otherwise static data does not synchronously complete.
Further, step 2), every the fixed cycle, extract the reading behavior data in described URL address date.
Further, step 2), all transmitted rear generation has put table in storage to reading behavior data.
Further, in step 3), reading behavior data transmit whether to complete be put table and judge according to whether generating, if table has been put in generation in storage, reading behavior data have transmitted, otherwise reading behavior data have transmitted.
Further, after step 3), also comprise step 4): the result after statistical treatment in step 3) is shown.
The present invention completes static data in storage facility located at processing plant by data simultaneous module, log pattern and data processing module successively order and is synchronized in statistics storehouse, reading behavior data are sent in statistics storehouse, after reading behavior data have transmitted and to adding up static data and the reading behavior data of storing in storehouse, carry out the operations such as statistical treatment according to pre-defined rule, and need not carry out any renewal to hardware device just can be in time, analysis user reading behavior exactly.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the processing data information system of the embodiment of the present invention 1;
Fig. 2 is the schematic diagram of the processing data information system of the embodiment of the present invention 2;
Fig. 3 a is the structural representation of log pattern in the embodiment of the present invention 1 and embodiment 2;
Fig. 3 b is the structural representation of data processing module in the embodiment of the present invention 1 and embodiment 2;
Fig. 4 is that the communication of each intermodule in cellphone subscriber's reading analysis system of the present invention is related to schematic diagram;
Fig. 5 is the process flow diagram of the data information processing method of the embodiment of the present invention 3;
Fig. 6 is the process flow diagram of the data information processing method of the embodiment of the present invention 4.
Embodiment
For the ease of more clearly understanding the solution of the present invention, below in conjunction with drawings and Examples, implementation of the present invention is elaborated.
Embodiment 1:
As shown in Figure 1, processing data information system 1 of the present invention, comprise data simultaneous module 11, log pattern 12 and data processing module 13, data simultaneous module 11 is for being synchronized to the static data of storage facility located at processing plant in statistics storehouse, data simultaneous module 11, selectively in 12 synchronous operations that start to carry out static data in morning every day, is synchronized to static datas all in storage facility located at processing plant in statistics storehouse.If can the synchronous table of increment, increment be synchronous as far as possible, can reduce data volume like this, saves the quality time.For the large table in storage facility located at processing plant, need to do a minute table handling, otherwise several data of ten million synchronously can be very slow.The data of each table had better not operate 5,000,000 records.After all static datas synchronously complete, what need to generate a synchronous complete operation record synchronously completes table, to trigger in-stockroom operation below.Log pattern 12 is for reading the URL address date producing on reading platform, and extracts the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data is sent in described statistics storehouse.Static data generally comprises user's name (id), time, place, books title, action type (read or order) etc., and static data need to be determined according to actual count.
As shown in Figure 3, log pattern 12 preferably includes log read module 121, log analysis module 122, judge module 123 and daily record and enters library module 124, and log read module 121 is for reading the URL address date producing on reading platform.As shown in Figure 4, when user inputs URL address to reading platform transmission request of access by browser, produce corresponding URL address date on reading platform, what this URL address date embodied is that the dynamic behaviour that user reads is all kept in the buffer memory of reading platform; In the URL address date producing on reading platform, according to user's statistical demand, added reading behavior parameter, reading behavior parameter is also need to determine and can in URL address, add the reading behavior parameter of relatively paying close attention to according to actual count, as user is reading which Zhang Shuji, which these books, which column to enter reading etc. from.Log analysis module 122 is for extracting the reading behavior parameter of URL address date every the fixed cycle, for example each hour once analyzed URL address date, so needn't all run up to ultimate analysis, avoiding cannot the complete all URL address date of analyzing and processing.Selectively, after having analyzed the URL address date of last hour, can also repeat analyzing and processing to analyzing failed URL address date above, to guarantee the integrality of gained reading behavior data.Whether judge module 123 can synchronously complete table and trigger daily record and enter library module 124 and whether carry out in-stockroom operation according to generating, as generated, synchronously complete table, daily record enters library module 124 the reading behavior data of gained after analyzing is sent in statistics storehouse, otherwise continue to wait for, every 10 minutes run-downs, search whether to generate and synchronously complete table.After all reading behavior data synchronously complete, need to generate a warehouse-in and complete table, to trigger data statistics processing operation below.
As shown in Figure 4, data processing module 13 preferably includes judge module 131 and computation analysis module 132; Judge module 131 is for judging that daily record enters library module 124 and whether completed the operation that reading behavior data are sent to statistics storehouse, as generated, put table in storage, computation analysis module 132 is carried out statistical treatment according to pre-defined rule to static data and reading behavior data, otherwise, continue to wait for, every 10 minutes run-downs, search whether to generate and put table in storage.By a large amount of reading behavior data of extracting from log pattern 12 and just can analyze from the synchronous static data of data simultaneous module 11 reading behavior that obtains user and be accustomed to.Wherein, pre-defined rule is to set according to user's statistical demand, for example, will add up the number of users that a certain book read in certain province, just this province is read to the number of users summation of this book.
Embodiment 2:
As shown in Figure 2, processing data information system 2 of the present invention, comprise data simultaneous module 21, log pattern 22, data processing module 23 and display module 24, data simultaneous module 21 is for being synchronized to the static data of storage facility located at processing plant in statistics storehouse, data simultaneous module 21, selectively in 12 synchronous operations that start to carry out static data in morning every day, is synchronized to static datas all in storage facility located at processing plant in statistics storehouse.If can the synchronous table of increment, increment be synchronous as far as possible, can reduce data volume like this, saves the quality time.For the large table in storage facility located at processing plant, need to do a minute table handling, otherwise several data of ten million synchronously can be very slow.The data of each table had better not operate 5,000,000 records.After all static datas synchronously complete, what need to generate a synchronous complete operation record synchronously completes table, to trigger in-stockroom operation below.
Log pattern 22 is for reading the URL address date producing on reading platform, and extracts the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data is sent in described statistics storehouse.As shown in Figure 3 a, log pattern 22 preferably includes log read module 221, log analysis module 222, judge module 223 and daily record and enters library module 224, log read module 121 is for reading the URL address date producing on reading platform, in the URL address date producing on reading platform, according to user's statistical demand, added reading behavior parameter, as user is reading which Zhang Shuji, which these books, which column to enter reading etc. from; Log analysis module 222 is for extracting the reading behavior parameter of URL address date every the fixed cycle, for example each hour once analyzed URL address date, so needn't all run up to ultimate analysis, avoiding cannot the complete all URL address date of analyzing and processing.Selectively, after having analyzed the URL address date of last hour, can also repeat analyzing and processing to analyzing failed URL address date above, to guarantee the integrality of gained reading behavior data.Whether judge module 223 can synchronously complete table and trigger daily record and enter library module 224 and whether carry out in-stockroom operation according to generating, as generated, synchronously complete table, daily record enters library module 224 the reading behavior data of gained after analyzing is sent in statistics storehouse, otherwise continue to wait for, every 10 minutes run-downs, search whether to generate and synchronously complete table.After all reading behavior data synchronously complete, need to generate a warehouse-in and complete table, to trigger data statistics processing operation below.
As shown in Figure 3 b, data processing module 23 preferably includes judge module 231 and computation analysis module 232; Judge module 231 is for judging that daily record enters library module 224 and whether completed the operation that reading behavior data are sent to statistics storehouse, as generated, put table in storage, computation analysis module 232 is carried out statistical treatment according to pre-defined rule to static data and reading behavior data, otherwise, continue to wait for, every 10 minutes run-downs, search whether to generate and put table in storage.Wherein, pre-defined rule is to set according to user's statistical demand, for example, will add up the number of users that a certain book read in certain province, just this province is read to the number of users summation of this book.Finally, display module 24 shows the result after computation analysis module 232 statistical treatments, for the result of big data quantity, needs paging to show, will provide export function for number is detailed, books are detailed simultaneously.
In above-described embodiment, first three module pins down mutually, and a module does not complete, and next module is carried out with regard to not allowing.Meanwhile, these three modules need to guarantee before 8, to be finished completely in the morning, so that display module can call.
Embodiment 3:
As shown in Figures 4 and 5, data information processing method of the present invention, comprises the steps:
S301: the static data in storage facility located at processing plant is synchronized in statistics storehouse; Judge whether static data synchronously completes, if generated, synchronously complete table, static data synchronously completes and carries out next step, otherwise static data does not synchronously complete, and continues synchronous static data;
S302: read the URL address date producing on reading platform, and extract the reading behavior data in described URL address date, reading behavior data are sent in statistics storehouse; Judge whether reading behavior data have transmitted, if generated, put table in storage, reading behavior data have transmitted and have carried out next step, otherwise reading behavior data have transmitted, and continue reading behavior data transfer operation;
S303: static data and reading behavior data are carried out to statistical treatment according to pre-defined rule.
Embodiment 4:
As shown in Fig. 4 and 6, data information processing method of the present invention, comprises the steps:
S301: the static data in storage facility located at processing plant is synchronized in statistics storehouse; Judge whether static data synchronously completes, if generated, synchronously complete table, static data synchronously completes and carries out next step, otherwise static data does not synchronously complete, and continues synchronous static data;
S302: read the URL address date producing on reading platform, and extract the reading behavior data in described URL address date, reading behavior data are sent in statistics storehouse; Judge whether reading behavior data have transmitted, if generated, put table in storage, reading behavior data have transmitted and have carried out next step, otherwise reading behavior data have transmitted, and continue reading behavior data transfer operation;
S303: static data and reading behavior data are carried out to statistical treatment according to pre-defined rule;
S304: the result after statistical treatment is shown.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (13)
1. a processing data information system, is characterized in that, comprises data simultaneous module, log pattern and data processing module, wherein,
Described data simultaneous module is for being synchronized to the static data of storage facility located at processing plant in statistics storehouse;
Described log pattern is used for reading the URL address date producing on reading platform, and extracts the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data is sent in described statistics storehouse;
Described data processing module carries out statistical treatment for static data and the reading behavior data of according to pre-defined rule, described statistics storehouse having been stored after reading behavior data have transmitted.
2. processing data information system as claimed in claim 1, is characterized in that, described log pattern comprises that log read module, log analysis module, judge module and daily record enter library module;
Described log read module is for reading the URL address date producing on reading platform;
It is synchronous that described judge module is used for judging whether described data simultaneous module has completed static data;
Described log analysis module is for extracting the reading behavior data of URL address date every the fixed cycle;
Described daily record enters library module and is sent to statistics library storage for the reading behavior data of after synchronously completing at static data, log analysis module being extracted.
3. processing data information system as claimed in claim 1 or 2, is characterized in that, whether described log pattern basis generates synchronously to complete is shown to judge whether described data simultaneous module has completed the synchronous of static data.
4. processing data information system as claimed in claim 1, is characterized in that, described data processing module comprises judge module and computation analysis module;
Described judge module is for judging that described daily record enters library module and whether completed the operation that reading behavior data are sent to described statistics storehouse;
Described computation analysis module, for being sent to behind described statistics storehouse in all reading behavior data, is carried out statistical treatment according to pre-defined rule to static data and reading behavior data.
5. the processing data information system as described in claim 1 or 4, is characterized in that, whether described data processing module basis generates to have put in storage is shown to judge that described daily record enters the transmission whether library module has completed reading behavior data.
6. processing data information system as claimed in claim 1, is characterized in that, described processing data information system also comprises display module, for the result after described data processing module statistical treatment is shown.
7. a data information processing method, is characterized in that, comprises the steps:
1) static data in storage facility located at processing plant is synchronized in statistics storehouse;
2) read the URL address date producing on reading platform, and extract the reading behavior data in described URL address date, after static data synchronously completes, reading behavior data are sent in described statistics storehouse;
3) reading behavior data are carried out statistical treatment according to pre-defined rule to static data and reading behavior data after having transmitted.
8. data information processing method as claimed in claim 7, is characterized in that, step 1) is specially: after all static datas of storing in storage facility located at processing plant in a day are synchronized to statistics storehouse, generation synchronously completes table.
9. data information processing method as claimed in claim 8, is characterized in that step 2) in static data whether whether synchronously complete be synchronously to complete table and judge according to generating, if generated, synchronously complete table, static data synchronously completes; Otherwise static data does not synchronously complete.
10. data information processing method as claimed in claim 7, is characterized in that step 2) in every the fixed cycle, extract the reading behavior data in described URL address date.
11. data information processing methods as claimed in claim 7, is characterized in that step 2) all transmitted rear generation has put table in storage to middle reading behavior data.
12. data information processing methods as claimed in claim 11, it is characterized in that, in step 3), reading behavior data transmit whether to complete be to show to judge according to whether generating put, if generated, put table in storage, reading behavior data have transmitted, otherwise reading behavior data have transmitted.
13. data information processing methods as claimed in claim 11, is characterized in that, also comprise step 4 after step 3)): the result after statistical treatment in step 3) is shown.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310127731.8A CN104102672A (en) | 2013-04-12 | 2013-04-12 | Data information processing system and method |
| PCT/CN2014/074863 WO2014166371A1 (en) | 2013-04-12 | 2014-04-04 | Data information processing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201310127731.8A CN104102672A (en) | 2013-04-12 | 2013-04-12 | Data information processing system and method |
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| CN104102672A true CN104102672A (en) | 2014-10-15 |
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| CN201310127731.8A Withdrawn CN104102672A (en) | 2013-04-12 | 2013-04-12 | Data information processing system and method |
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| WO (1) | WO2014166371A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108255991A (en) * | 2017-12-29 | 2018-07-06 | 广州贝睿信息科技有限公司 | A kind of infant reading behavior analysis method |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109450879A (en) * | 2018-10-25 | 2019-03-08 | 中国移动通信集团海南有限公司 | User access activity monitoring method, electronic device and computer readable storage medium |
| CN109885547B (en) * | 2019-02-22 | 2020-10-23 | 安徽继远软件有限公司 | Behavior perception method of multi-module log in multi-source operation data based on IT infrastructure |
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| CN101078971A (en) * | 2002-03-19 | 2007-11-28 | 电子图书系统有限公司 | Method and system for tracking electronic book reading pattern |
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| US7809752B1 (en) * | 2005-04-14 | 2010-10-05 | AudienceScience Inc. | Representing user behavior information |
| CN102238045A (en) * | 2010-04-27 | 2011-11-09 | 广州迈联计算机科技有限公司 | System and method for predicting user behavior in wireless Internet |
| CN102768656A (en) * | 2011-05-05 | 2012-11-07 | 中国移动通信集团上海有限公司 | A reading record processing method, system and device |
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2013
- 2013-04-12 CN CN201310127731.8A patent/CN104102672A/en not_active Withdrawn
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- 2014-04-04 WO PCT/CN2014/074863 patent/WO2014166371A1/en active Application Filing
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| CN101078971A (en) * | 2002-03-19 | 2007-11-28 | 电子图书系统有限公司 | Method and system for tracking electronic book reading pattern |
| US20050027671A1 (en) * | 2003-07-31 | 2005-02-03 | International Business Machines Corporation | Self-contained and automated eLibrary profiling system |
| CN101034997A (en) * | 2006-03-09 | 2007-09-12 | 新数通兴业科技（北京）有限公司 | Method and system for accurately publishing the data information |
| CN102479192A (en) * | 2010-11-24 | 2012-05-30 | 盛乐信息技术（上海）有限公司 | System and method for user behavior pattern analysis through e-book reader |
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| CN108255991A (en) * | 2017-12-29 | 2018-07-06 | 广州贝睿信息科技有限公司 | A kind of infant reading behavior analysis method |
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| WO2014166371A1 (en) | 2014-10-16 |
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