CN105608207A - Data statistics system based on Redis database and statistics method of data statistics system - Google Patents
Data statistics system based on Redis database and statistics method of data statistics system Download PDFInfo
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- CN105608207A CN105608207A CN201511003603.8A CN201511003603A CN105608207A CN 105608207 A CN105608207 A CN 105608207A CN 201511003603 A CN201511003603 A CN 201511003603A CN 105608207 A CN105608207 A CN 105608207A
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
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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
- G06F16/24—Querying
- G06F16/245—Query processing
Abstract
The invention discloses a data statistics system based on Redis database and a statistics method of the data statistics system. The method comprises the following steps: connecting a system server to a deployed Redis server; deploying and starting statistics service at the upper part of the system server; integrating and calling a statistics request service from service application; transmitting a service statistics request by the statistics request service through a statistics interface, and performing statistics calculation through the Redis server; collecting the statistics service according to key to obtain and save various types of statistics data; inquiring and returning corresponding data through an inquiry interface by the statistics request service. By quick deployment of Redis service, the data statistics system can quickly realize real-time light weight level user data statistics, and encapsulate the statistics method through Java; JavaScript API is provided to realize real-time data statistics under different demands through an HTTP communication protocol; therefore, the realizing speed of frequent short-time data statistics demands in development service is effectively accelerated.
Description
Technical field
The application relates to computer data statistics field, concrete, relates to a kind of based on RedisData statistics system and the statistical method thereof that can carry out rapid deployment of database.
Background technology
Along with Internet service high speed development, service product renewal speed is more and more faster, and eachRenewal is accompanied by some relevant business datum statistics.
Data statistic analysis refers to suitable statistical analysis technique collecting the mass data of comingAnalyze, extract useful information and with forming conclusion, data studied in great detail and summarize totalThe process of knot. This process is also the supporting process of quality management system. In practicality, dataAnalysis can help people to judge, to take appropriate action. Data analysis is widely used inIn computer system, as active in customer volume, visit capacity, user etc.
Present data statistical approach, is generally that mass data is stored in database and gone, andAnd need to carry out database design for traffic performance, and then by demand data from dataIn storehouse, come out. For example, carry out data statistics storage by hadoop etc. Aforesaid wayRealize and dispose complexity slow, be suitable for the data that some need Long-term analysis, but be not suitable for light weight,The data statistics demand that deployment request is fast, real-time. By contrast, on internet, more needCan be simple, the statistical system satisfying the demands fast, for use in user's day liveness, independentThe statistics of the data such as user's visit capacity, daily visit.
Therefore, how can realize a kind of deployment simply, be applicable to some real-time statistics, orThe data statistics such as day statistic, become prior art and need badly the technical problem of solution.
Summary of the invention
The object of the invention is to propose a kind of number based on Redis database of rapid deploymentSystem and statistical method thereof according to statistics, can meet the statistical demand of lightweight, has effectively improvedThe speed that realizes of the data statistics demand of frequent short-term in exploitation business.
For reaching this object, the present invention by the following technical solutions:
Based on a data statistics system for Redis database, comprising:
Redis server, for utilizing Redis service to carry out Key (key)-Value (value)Buffer memory and storage;
System server, described system server has statistics service, and statistics interface and inquiry connectMouthful, described system server is connected on Redis server, and by statistics interface and inquiryInterface and service application communicate, and described service application has statistics request service, described systemThe business that meter interface (CountInterface) sends for receiving described statistics request serviceStatistics request, described query interface (QueryInterface) please for receiving described statisticsAsk the inquiry of service, and return to statistics, described statistics service is used for receiving described businessAfter statistics request, utilize described Redis service to carry out statistical computation.
Preferably described system server is Tomcat server, and described Tomcat server is logicalCross Jedis connection pool and be connected to the Redis server 2 of having disposed.
Preferably described statistics service request sends business by Ajax in the mode of asynchronous httpStatistics request, by Ajax in the mode of asynchronous http to query interface query statistic data,Described statistics service is returned to all kinds of statistics with Json form.
Based on a data statistical approach for Redis database, comprise the steps:
Step 1: system server is connected to the Redis server of having disposed, described inRedis server carries out Key (key)-Value (value) buffer memory and storage;
Step 2: in described system server deploy statistics service (CountService),And start described statistics service;
Step 3: the integrated clothes of the statistics request for real time business data statistics in service applicationBusiness, and call described statistics request service;
Step 4: described statistics request service is by the statistics interface of described system server(CountInterface) send business statistics request;
Step 5: described statistics service reception is to after described business statistics request, described in utilizationRedis server carries out statistical computation;
Step 6: statistics service gathers by the key storing in Redis server,To and preserve all kinds of statistics;
Step 7: described statistics request service is by the query interface of described system server(QueryInterface) inquire about corresponding statistics, and return to statistics.
Preferably, in step 5, described statistical computation is: according to described business statistics requestIn Redis server, generate statistics key (key), judge whether this statistics key (key) deposits, if existed, the Value (value) corresponding to former key carries out quantity from increasing, if do not depositedIncreasing statistics key newly.
Preferably, described system server is Tomcat server, described Tomcat serverBe connected to the Redis server of having disposed by Jedis connection pool.
Preferably, in described step 4, described statistics service request is with the side of asynchronous httpFormula sends business statistics request.
Preferably, described in described step 7, add up service request with the mode of asynchronous http toQuery interface query statistic data; Described statistics service is returned to all kinds of statistical number with Json formAccording to.
Preferably, described service application is web service application.
Preferably, in described step 6 and step 7, generate key by some cycles, and pressThis cycle gathers. Preferably, this cycle can be one day.
Preferably, described statistics comprises and independently using active user Visitor Logs every day, every dayIn family visit data, user's day liveness, daily visit, individual consumer's visit capacity any onePlant or any combination.
The present invention, by rapid deployment Redis server, realizes rapidly real-time lightweight number of usersAccording to statistics, then undertaken, to statistical method encapsulation, providing JavaSciptAPI by JavaRealize the data statistics under the different demands of real-time statistics by HTTP protocol, effectively improveThe speed that realizes of the data statistics demand of frequent short-term in exploitation business.
Brief description of the drawings
Fig. 1 is according to the framework of the data statistics system based on Redis database of the present inventionFigure;
Fig. 2 is according to the flow process of the data statistical approach based on Redis database of the present inventionFigure;
Fig. 3 is the statistics plan according to the data statistical approach based on Redis database of the present inventionSlightly flow chart.
The technical characterictic that Reference numeral in figure refers to is respectively:
1, system server; 2, Redis server; 3, connect; 4, statistics service; 5,Service application; 6, statistics request service; 7, statistics interface; 8, query interface.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in further detail. Be appreciated that, specific embodiment described herein is only for explaining the present invention, but not to the present inventionRestriction. It also should be noted that, for convenience of description, in accompanying drawing, only show and thisInvent relevant part but not entire infrastructure.
Redis is one and increases income, BSD license, senior " key-value ",The buffer memory of " key-value " and storage. Its data structure server of being often known as,Its key can character string, Hash table, list, set, ordered set, bitmap andHyperloglogs. Because Redis is Key-Value buffer memory and a storage of increasing income, portionAffix one's name to very simply, then by Java scheduling algorithm, statistical method is encapsulated, provideJavaSciptAPI realizes under the different demands of real-time statistics by the communications protocol of HTTP etc.Data statistics.
The present invention, by using Redis server, adopts key to add up, and has realized fastDispose, and can realize real-time statistics user day liveness, individual consumer's visit capacity, day visitThe data statistics work such as the amount of asking.
Referring to Fig. 1, show the data statistics system based on Redis database of the present inventionFramework map, this data statistics system comprises:
Redis server 2, for utilizing Redis server to carry out Key (key)-Value(value) buffer memory and storage;
System server 1, described system server has statistics service 4, statistics interface 7 HesQuery interface 8, described system server 7 is connected on Redis server 2, and by systemMeter interface 7 and query interface 8 communicate with service application 5, and described service application 5 hasStatistics request service 6, described statistics interface 7 (CountInterface) is for described in receivingThe business statistics request that statistics request service 6 sends, described query interface 8 (QueryInterface) for receiving the inquiry of described statistics request service 6, and return to statistics,Described statistics service 4, for receiving after described business statistics request, utilizes described Redis clothesBusiness device carries out statistical computation.
Preferably, described system server is Tomcat server, described Tomcat serverBe connected to the Redis server 2 of having disposed by Jedis connection pool.
Further preferably, described statistics service request by Ajax for example with asynchronous http'sMode sends business statistics request, connects in the mode of asynchronous http by for example Ajax to inquiryMouth query statistic data. Described statistics service is returned to all kinds of statistics with Json form.
In the present invention, although Redis server and system server classified as two differentServer, but obviously, one skilled in the art will appreciate that above-mentioned two servers also can be oneIn individual server entity, be only used for distinguishing different services. Aforesaid way is all in the present inventionIn the scope of protecting.
Fig. 2 shows the data statistics side of the rapid deployment based on Redis database of the present inventionThe flow chart of method, comprises the steps:
Step 1: system server 1 is connected to the Redis server 2 of having disposed,Described Redis server carries out Key (key)-Value (value) buffer memory and storage;
Step 2: at described system server 1 deploy statistics service 4 (CountService),And start described statistics service;
Step 3: the integrated statistics request for real time business data statistics in service application 5Service 6, and call described statistics request service 6;
Step 4: described statistics request service 6 is by the statistics interface of described system server 17 (CountInterface) sends business statistics request;
Step 5: described statistics service 4 receives after described business statistics request, described in utilizationRedis server carries out statistical computation;
Referring to Fig. 3, described statistical computation is specially: according to described business statistics request at RedisIn server, generate statistics key (key), judge whether this statistics key (key) exists, ifExist corresponding to former key Value (value) to carry out quantity from increasing, if there is no newly-increasedStatistics key;
Step 6: statistics service gathers by the key that stores in Redis server,To and preserve all kinds of statistics; , in this step, utilize stored key value to gather to comeObtain the value of all kinds of statistics. The key value of storing is not limited to the numerical value of all kinds of types, onlyRepresent stored a class numerical value.
Step 7: described statistics request service 6 is by the query interface of described system server 18 (QueryInterface) inquire about corresponding statistics, and return to statistics.
Preferably, described system server is Tomcat server, described Tomcat serverBe connected to the Redis server 2 of having disposed by Jedis connection pool.
Preferably, described service application 5 can be web service application.
Further preferably, in described step 4, described statistics service request is for example passed throughAjax sends business statistics request in the mode of asynchronous http.
Preferably, in described step 6 and step 7, can generate key by some cycles,And gather by this cycle. Preferably, this cycle can be one day.
Preferably, described in described step 7, add up service request by Ajax for example with asynchronousThe mode of http is to query interface query statistic data.
Further preferably, described statistics service is returned to all kinds of statistics with Json form.
Preferably, described statistics comprises and independently using active user Visitor Logs every day, every dayIn family visit data, user's day liveness, daily visit, individual consumer's visit capacity any onePlant or any combination.
To sum up, the present invention, by rapid deployment Redis server, realizes rapidly real-time lightweightUser data statistics, is then undertaken, to statistical method encapsulation, providing JavaScript by JavaAPI realizes the data statistics under the different demands of real-time statistics by HTTP protocol, effectivelyImprove the speed that realizes of the data statistics demand of frequent short-term in exploitation business.
Above content is made for the present invention further in detail in conjunction with concrete preferred embodimentDescribe in detail brightly, can not assert that the specific embodiment of the present invention only limits to this, under the present inventionThe those of ordinary skill of technical field, without departing from the inventive concept of the premise, also canTo make some simple deduction or replace, all should be considered as belonging to the present invention by submitted to powerProfit claim is determined protection domain.
Claims (10)
1. the data statistics system based on Redis database, comprising:
Redis server (2), for utilizing Redis service to carry out Key (key)-Value(value) buffer memory and storage;
System server (1), described system server has statistics service (4), statistics interface(7) and query interface (8), described system server (7) is connected to Redis server (2)Upper, and lead to service application (5) by statistics interface (7) and query interface (8)Letter, described service application (5) has statistics request service (6), described statistics interface (7)(CountInterface) the business system sending for receiving described statistics request service (6)Meter request, described query interface (8) is (QueryInterface) for receiving described statisticsThe inquiry of request service (6), and return to statistics, described statistics service (4) is for connecingReceive after described business statistics request, utilize described Redis service to carry out statistical computation.
2. the data statistics system based on Redis database according to claim 1, itsBe characterised in that:
Described system server is Tomcat server, and described Tomcat server passes through JedisConnection pool is connected to the Redis server (2) of having disposed.
3. the data statistics based on Redis database according to claim 1 and 2 isSystem, is characterized in that:
Described statistics service request sends business statistics by Ajax in the mode of asynchronous http pleaseAsk, by Ajax in the mode of asynchronous http to query interface query statistic data, described systemMeter service is returned to all kinds of statistics with Json form.
4. the data statistical approach based on Redis database, comprises the steps:
Step 1: system server is connected to the Redis server of having disposed, described inRedis server carries out Key (key)-Value (value) buffer memory and storage;
Step 2: in described system server deploy statistics service (CountService),And start described statistics service;
Step 3: the integrated clothes of the statistics request for real time business data statistics in service applicationBusiness, and call described statistics request service;
Step 4: described statistics request service is by the statistics interface of described system server(CountInterface) send business statistics request;
Step 5: described statistics service reception is to after described business statistics request, described in utilizationRedis server carries out statistical computation;
Step 6: statistics service gathers by the key storing in Redis server,Obtain and preserve all kinds of statistics;
Step 7: described statistics request service is by the query interface of described system server(QueryInterface) inquire about corresponding statistics, and return to statistics.
5. the data statistical approach based on Redis database according to claim 4, itsBe characterised in that:
In step 5, described statistical computation is: according to described business statistics request at RedisIn server, generate statistics key (key), judge whether this statistics key (key) exists, ifExist corresponding to former key Value (value) to carry out quantity from increasing, if there is no newly-increasedStatistics key.
6. according to the data statistics side based on Redis database described in claim 4 or 5Method, is characterized in that:
Described system server is Tomcat server, and described Tomcat server passes through JedisConnection pool is connected to the Redis server of having disposed.
7. the data statistical approach based on Redis database according to claim 6, itsBe characterised in that:
In described step 4, described statistics service request sends industry in the mode of asynchronous httpThe request of business statistics.
Described in described step 7, add up service request in the mode of asynchronous http to query interfaceQuery statistic data;
Described statistics service is returned to all kinds of statistics with Json form.
8. the data statistical approach based on Redis database according to claim 6, itsBe characterised in that:
Described service application is web service application.
9. the data statistical approach based on Redis database according to claim 6, itsBe characterised in that:
In described step 6 and step 7, can generate key by some cycles, and by this weekPhase gathers.
10. the data statistical approach based on Redis database according to claim 6,It is characterized in that:
Described statistics comprises active user Visitor Logs every day, every day isolated user access numberAccording in, user's day liveness, daily visit, individual consumer's visit capacity any one or arbitrarilyCombination.
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| CN106126356A (en) * | 2016-06-24 | 2016-11-16 | 努比亚技术有限公司 | The realization of a kind of server buffer, generation method and system |
| CN106874327A (en) * | 2016-07-08 | 2017-06-20 | 阿里巴巴集团控股有限公司 | A kind of method of counting and device for business datum |
| CN107295059A (en) * | 2017-03-07 | 2017-10-24 | 阿里巴巴集团控股有限公司 | The statistical system and method for service propelling amount |
| CN107463588A (en) * | 2016-06-03 | 2017-12-12 | 北京京东尚科信息技术有限公司 | Data submit judging method |
| CN107766503A (en) * | 2017-10-20 | 2018-03-06 | 福建中金在线信息科技有限公司 | Data method for quickly querying and device based on redis |
| CN108446313A (en) * | 2018-02-06 | 2018-08-24 | 北京极智感科技有限公司 | A kind of conversion method of data format and device |
| CN108446369A (en) * | 2018-03-15 | 2018-08-24 | 深圳市中科新业信息科技发展有限公司 | Real time data report form statistics method under mass data |
| CN108932352A (en) * | 2018-09-26 | 2018-12-04 | 江苏曲速教育科技有限公司 | Distributed cache system based on statistical server |
| CN109840262A (en) * | 2018-12-29 | 2019-06-04 | 深圳云天励飞技术有限公司 | Data statistical approach and relevant apparatus |
| CN110727727A (en) * | 2019-10-15 | 2020-01-24 | 深圳前海微众银行股份有限公司 | Statistical method and device for database |
| CN110796401A (en) * | 2018-08-03 | 2020-02-14 | 京东数字科技控股有限公司 | Inventory deduction method, system and server |
| CN113283940A (en) * | 2021-06-01 | 2021-08-20 | 广州欢网科技有限责任公司 | Advertisement exposure method and device |
| CN115314423A (en) * | 2022-07-19 | 2022-11-08 | 杭州安恒信息技术股份有限公司 | Traffic data statistical method, device and storage medium |
| CN115878711A (en) * | 2023-02-28 | 2023-03-31 | 新云网科技集团股份有限公司 | Redis connection pool realization method, device, equipment and medium |
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| CN107463588A (en) * | 2016-06-03 | 2017-12-12 | 北京京东尚科信息技术有限公司 | Data submit judging method |
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| CN106874327A (en) * | 2016-07-08 | 2017-06-20 | 阿里巴巴集团控股有限公司 | A kind of method of counting and device for business datum |
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| CN108446313A (en) * | 2018-02-06 | 2018-08-24 | 北京极智感科技有限公司 | A kind of conversion method of data format and device |
| CN108446369A (en) * | 2018-03-15 | 2018-08-24 | 深圳市中科新业信息科技发展有限公司 | Real time data report form statistics method under mass data |
| CN110796401A (en) * | 2018-08-03 | 2020-02-14 | 京东数字科技控股有限公司 | Inventory deduction method, system and server |
| CN108932352A (en) * | 2018-09-26 | 2018-12-04 | 江苏曲速教育科技有限公司 | Distributed cache system based on statistical server |
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| CN110727727A (en) * | 2019-10-15 | 2020-01-24 | 深圳前海微众银行股份有限公司 | Statistical method and device for database |
| CN110727727B (en) * | 2019-10-15 | 2023-01-10 | 深圳前海微众银行股份有限公司 | Statistical method and device for database |
| CN113283940A (en) * | 2021-06-01 | 2021-08-20 | 广州欢网科技有限责任公司 | Advertisement exposure method and device |
| CN115314423A (en) * | 2022-07-19 | 2022-11-08 | 杭州安恒信息技术股份有限公司 | Traffic data statistical method, device and storage medium |
| CN115878711A (en) * | 2023-02-28 | 2023-03-31 | 新云网科技集团股份有限公司 | Redis connection pool realization method, device, equipment and medium |
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Application publication date: 20160525 |