CN107122431A - A kind of real-time calculating platform and the method for computing data based on real-time calculating platform - Google Patents
A kind of real-time calculating platform and the method for computing data based on real-time calculating platform Download PDFInfo
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- CN107122431A CN107122431A CN201710245271.7A CN201710245271A CN107122431A CN 107122431 A CN107122431 A CN 107122431A CN 201710245271 A CN201710245271 A CN 201710245271A CN 107122431 A CN107122431 A CN 107122431A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The application provides a kind of real-time calculating platform and the method for computing data based on real-time calculating platform, and this method is applied to include real-time computing subsystem, off-line calculation subsystem, the real-time calculating platform of message subsystem, it may include：Real-time calculating for Added Business data is obtained the first operational indicator data acquisition system and pushes to merging subsystem by real-time computing subsystem；Off-line calculation for newly-increased offline business data is obtained the second operational indicator data acquisition system and pushes to merging subsystem by off-line calculation subsystem；Merge subsystem respectively to merge pointer type identical operational indicator data in the first operational indicator data acquisition system and the second operational indicator data acquisition system, and based on pointer type, the operational indicator data of each merging are updated to the first database, visual presentation is carried out to the operational indicator data respectively merged.Therefore the method provided using the application, can be effectively reduced business datum consumption of the calculating to memory source in real time, improve equipment performance.
Description
Technical field
The application is related to computer communication field, more particularly to a kind of real-time computing technique.
Background technology
With the development of big data, it is adaptable to the batch processing framework of off-line calculation, a kind of such as MapReduce (off-line calculations
Framework), demand of the people to the real-time processing of big data can not have been met.And calculating platform provides abundant API, is based in real time
The high-speed execution engine of internal memory, so that with reference to streaming, batch processing and the real-time calculating platform for interacting audit trial inquiry in big data
Real-time calculating in widely applied.
However, the real-time calculating carried out of calculating platform depends critically upon memory source in real time, calculate flat with real-time
Constantly increase to the business datum of platform processing, bring the occupancy of memory source too high, the problems such as equipment performance is substantially reduced
The problem of persistently being inquired into as industry.
The content of the invention
In view of this, the application provides a kind of real-time calculating platform and the method for computing data based on real-time calculating platform,
To realize when calculating, off-line data and real time data are subjected to independent calculating respectively, knot is calculated in real-time visual displaying
During fruit, off-line data is merged with real time data, internal memory provided when carrying out data calculating so as to reduce real-time calculating platform
The consumption in source, improves equipment performance.
Specifically, the application is achieved by the following technical solution：
According to the first aspect of the application there is provided a kind of real-time calculating platform, the real-time calculating platform includes real-time meter
Operator Systems, off-line calculation subsystem, and merge subsystem, methods described includes：
The real-time computing subsystem, for being calculated in real time for the Added Business data that operation system is pushed, is obtained
Merging subsystem is pushed to the first operational indicator data acquisition system, and by the first operational indicator data acquisition system；
The off-line calculation subsystem, the newly-increased offline business data for being imported for user carry out off-line calculation, obtain
Merging subsystem is pushed to the second operational indicator data acquisition system, and by the second operational indicator data acquisition system；
The merging subsystem, for respectively by the first operational indicator data acquisition system and the second operational indicator number
Merge according to pointer type identical operational indicator data in set, and based on pointer type, by the operational indicator data of each merging
The first database is updated to, to carry out visual presentation to the operational indicator data respectively merged.
Optionally, the major key ID of the operational indicator data of same pointer type is identical；
The merging subsystem, specifically for referring to respectively in the first operational indicator data acquisition system and second business
Mark and major key ID identical operational indicator data are searched in data acquisition system；By the major key ID identicals operational indicator number found
According to merging.
Optionally, the merging subsystem, is further used for the major key ID of the operational indicator data based on merging, described
Original service achievement data corresponding with major key ID is searched in first database；If found in first database
Original service achievement data corresponding with major key ID, then by the operational indicator data of the merging in the original service achievement data
On the basis of carry out cumulative update；If original service index corresponding with major key ID is not found in first database
Data, then be added to first database by the operational indicator data of the merging.
Optionally, obtained the first operational indicator data acquisition system is pushed to the second number by the real-time computing subsystem
Stored according to storehouse；
The second obtained operational indicator data acquisition system is pushed to the second database and stored up by the off-line calculation subsystem
Deposit.
Optionally, specifically for if there is abnormal traffic index number in the merging subsystem in first database
According to when, receive for first database abnormal traffic achievement data message；Search and the abnormal traffic achievement data
Corresponding history service achievement data；The history service achievement data found is sent to the first database, to carry out
The amendment of abnormal traffic achievement data.
According to the second aspect of the application, a kind of method for computing data based on real-time calculating platform, methods described application
In real-time calculating platform, methods described includes：
The Added Business data pushed for operation system are calculated in real time, obtain the first operational indicator data acquisition system,
And the first operational indicator data acquisition system is pushed into merging subsystem；
Off-line calculation is carried out for the newly-increased offline business data that user imports, the second operational indicator data acquisition system is obtained,
And the second operational indicator data acquisition system is pushed into merging subsystem；Wherein, it is described it is real-time calculating with the off-line calculation that
This isolation；
Respectively by pointer type phase in the first operational indicator data acquisition system and the second operational indicator data acquisition system
Same operational indicator data merge, and based on pointer type, the operational indicator data of each merging are updated into the first database, with
Visual presentation is carried out to the operational indicator data respectively merged.
Optionally, the major key ID of the operational indicator data of same pointer type is identical；
It is described respectively by index class in the first operational indicator data acquisition system and the second operational indicator data acquisition system
Type identical operational indicator data merge, including：
It is described to search master in the first operational indicator data acquisition system and the second operational indicator data acquisition system respectively
Key ID identical operational indicator data；
The major key ID identicals operational indicator data found are merged.
Optionally, it is described to be based on pointer type, the operational indicator data of each merging are updated to the first database, including：
The major key ID of operational indicator data based on merging, is searched corresponding with major key ID in first database
Original service achievement data；
If finding original service achievement data corresponding with major key ID in first database, this is closed
And operational indicator data cumulative renewal is carried out on the basis of the original service achievement data；
If not finding original service achievement data corresponding with major key ID in first database, this is closed
And operational indicator data be added to first database.
Optionally, methods described also includes：The real-time computing subsystem is by obtained the first operational indicator data
Set pushes to the second database and stored；
Obtained the second operational indicator data acquisition system is pushed to the second database and entered by the off-line calculation subsystem
Row storage.
Optionally, methods described also includes：If there is abnormal traffic achievement data in first database, receive
For the message of the abnormal traffic achievement data of the first Service Database；
Search history service achievement data corresponding with the abnormal traffic achievement data；
The history service achievement data found is sent to the first database, to carry out abnormal traffic achievement data
Amendment.
The application proposes a kind of method for computing data based on real-time calculating platform, and real-time computing subsystem can be to increasing industry newly
Business data, which calculate in real time, obtains the first operational indicator data acquisition system, and off-line calculation subsystem can be to increasing offline business data newly
Off-line calculation is carried out, the second operational indicator data acquisition system is obtained, merges subsystem by the first operational indicator data acquisition system and is somebody's turn to do
Major key ID identical operational indicators data merge in second operational indicator data acquisition system, and based on major key ID, by the industry of each merging
Business achievement data is updated to the first database, to carry out visual presentation.
On the one hand, real-time calculating platform can be by real-time computing subsystem and off-line calculation subsystem to real-time Added Business
Data and offline Added Business data carry out independent calculating respectively, due to offline business data being separated from real-time calculate
To carry out independently off-line calculation, therefore memory source can be effectively saved, improve the performance of equipment.
On the other hand, due to the operational indicator data correspondence identical major key ID of identical pointer type, real-time calculating platform
Merging subsystem can by major key ID, the first operational indicator data that real-time computing subsystem is calculated and off-line calculation son
The second operational indicator data that system-computed goes out are merged, so as to efficiently solve the Added Business number with incidence relation
According to the connection problem with newly-increased offline business data.
The third aspect, because original and newly-increased operational indicator data are no longer integrally write first by real-time calculating platform
In database, but only by the operational indicator data storage of newly-increased merging to the first database, so as to efficiently reduce number
According to the read-write pressure in storehouse.
Brief description of the drawings
Fig. 1 is a kind of network rack of real-time calculating based on real-time calculating platform shown in the exemplary embodiment of the application one
Composition；
Fig. 2 is a kind of stream of method for computing data based on real-time calculating platform shown in the exemplary embodiment of the application one
Cheng Tu；
Fig. 3 is a kind of hardware structure diagram of real-time calculating platform place equipment shown in the exemplary embodiment of the application one；
Fig. 4 is a kind of system block diagram of real-time calculating platform shown in the exemplary embodiment of the application one.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the application.
It is the purpose only merely for description specific embodiment in term used in this application, and is not intended to be limiting the application.
" one kind ", " described " and "the" of singulative used in the application and appended claims are also intended to including majority
Form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and wrapped
It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of the application scope, the first information can also be referred to as the second information, similarly, and the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
With the development of big data, it is adaptable to the batch processing framework of off-line calculation, such as MapReduce, people can not be met
To the demand of the real-time processing of big data.And high speed execution of the calculating platform there is provided abundant API, based on internal memory in real time is drawn
Hold up, so that being obtained with reference to the real-time calculating platform that streaming, batch processing and interaction audit trial are ask in the real-time calculating of big data
Widely apply.
In the related method for computing data based on real-time calculating platform, offline industry has been imported in offline database in advance
Data of being engaged in (pre-stored offline business data) or during real-time calculate, user's typing in the second database is new
Increase offline business data, in order to which off-line data and real time data with incidence relation can be carried out into visual presentation in real time,
Real-time calculating platform needs to call the offline business data of newly-increased offline business data or pre-stored in offline database, and
The offline business data and real time traffic data called together are calculated in real time, result of calculation is then write into off-line data
In storehouse, original historical record is covered as new historical record.Real-time computing subsystem can will be used as new historical record
Result of calculation is integrally stored into the first database, and carries out visual presentation to the result of calculation.
But, on the one hand, because calculating in real time needs to consume memory source, by offline business data and real time traffic data
Together carry out calculating in real time and can seriously increase the load of memory source, greatly increase the expense of physical resource, have a strong impact on equipment
Performance.
On the other hand, because offline business data are equivalent to primary data, accessed in the real-time calculating that constantly circulates, such as
There is mistake as the offline business data of primary data in fruit, then is difficult the corrigendum for effectively carrying out mistake.
Further, since the result calculated in real time every time, which is overall (i.e. the mode of full dose), writes the first database, therefore greatly
The big read-write pressure for adding the first database.
The application proposes a kind of method for computing data based on real-time calculating platform, real-time calculating of real-time calculating platform
The Added Business data that system can be pushed for operation system are calculated in real time, obtain the first operational indicator data acquisition system, and
The first operational indicator data acquisition system is pushed into merging subsystem.The off-line calculation subsystem of real-time calculating platform can be for using
The newly-increased offline business data that family is imported carry out real-time off-line calculation, obtain the second operational indicator data acquisition system, and by this
Two operational indicator data acquisition systems push to merging subsystem；Merge subsystem can respectively by the first operational indicator data acquisition system and
Pointer type identical operational indicator data merge in the second operational indicator data acquisition system, and based on pointer type, Jiang Gehe
And operational indicator data be updated to the first database, to carry out visual presentation to the operational indicator data that respectively merge.
On the one hand, real-time calculating platform can be by real-time computing subsystem and off-line calculation subsystem to real-time Added Business
Data and offline Added Business data carry out independent calculating respectively, due to offline business data being separated from real-time calculate
To carry out independently off-line calculation, therefore memory source can be effectively saved, improve the performance of equipment.
On the other hand, the merging subsystem of real-time calculating platform is calculated real-time computing subsystem by pointer type
The first operational indicator data and the second operational indicator data for calculating of off-line calculation subsystem merge so that effectively
Solve the connection problem of Added Business data and newly-increased offline business data with incidence relation.
In addition, calculating platform merges subsystem by the operational indicator data storage of merging to the first database in real time, by
It is to carry out calculating merging based on Added Business data in the operational indicator data of the merging, so by the business of the merging
It is also by the operational indicator data storage of the newly-increased merging (i.e. in the way of increment) when achievement data is stored to the first database
To the first database, so as to efficiently reduce the read-write pressure of database.
Referring to Fig. 1, Fig. 1 is a kind of real-time calculating based on real-time calculating platform shown in the exemplary embodiment of the application one
Network architecture diagram, the application propose the network architecture include real-time calculating platform, the first database and the second database, its
In, real-time calculating platform may include real-time computing subsystem, off-line calculation subsystem, merge subsystem.
Above-mentioned real-time computing subsystem, refers to the system with real-time computing function, and the usual real-time computing subsystem can
Built based on Spark Streaming (a kind of real-time Computational frame) or a kind of Strom (real-time Computational frame) framework, here
Simply the framework for building institute's foundation of real-time computing subsystem is exemplarily illustrated, it not carried out specifically defined.
Above-mentioned off-line calculation subsystem, refers to the system with off-line calculation function, and the off-line calculation subsystem can be by
MapReduce frameworks are built, and by calling HIVE operations by the off-line data stored in offline database progress processing conversion, are turned
MapReduce tasks are turned to, to carry out off-line calculation by MapReduce.Certainly, off-line calculation subsystem can also be by other frameworks
Built, merely just the framework of building of off-line calculation subsystem is exemplarily illustrated, it not carried out specifically
Limit.
Above-mentioned merging subsystem, in the embodiment of the present application, can have and be based on pointer type, to real-time computing subsystem meter
The second operational indicator data that obtained the first operational indicator data and off-line calculation subsystem off-line calculation are obtained are closed
And wait function.Herein, simply exemplarily illustrated to merging subsystem function, it is not carried out specifically defined.
It should be noted that calculating platform may also include the message subsystem for message transmission between system (in Fig. 1 in real time
It is not shown), merging subsystem can be attached on message subsystem as a kind of functional module, be used as one of message subsystem
Point.Here, simply the additional carrier for merging subsystem is exemplarily illustrated, it not carried out specifically defined.Wherein,
The message subsystem refers to message-oriented middleware, for example, can be based on kafka, ActiveMQ, RabbitMQ, ZeroMQ,
The frameworks such as ApolloMQ, RocketMQ are built.
Above-mentioned first database, the function can with storage data can also be counted by managing the first of first database
The data in the database are carried out with the management such as visual presentation according to base management system to operate.First database can be relationship type
Database, above-mentioned first data base management system can be Oracle, SQL Server etc..Merely just to the first database and
One data base management system is exemplarily illustrated, it is not carried out specifically defined.
In above-mentioned network frame, real-time calculating platform can be calculated the Added Business data received, obtain industry
Then operational indicator data are write the first database, to show with carrying out real-time visual by business achievement data.
Referring to Fig. 2, Fig. 2 is that a kind of data based on real-time calculating platform shown in the exemplary embodiment of the application one are calculated
The flow chart of method.This method can be applied to real-time calculating platform illustrated in fig. 1.
Step 201：The Added Business data that real-time computing subsystem is pushed for operation system are calculated in real time, are obtained
First operational indicator data acquisition system, and the first operational indicator data acquisition system is pushed into merging subsystem；
Step 202：Off-line calculation subsystem carries out off-line calculation for the newly-increased offline business data that user imports, and obtains
Second operational indicator data acquisition system, and the second operational indicator data acquisition system is pushed into merging subsystem；
Step 203：Merge subsystem respectively by the first operational indicator data acquisition system and the second operational indicator number
Merge according to pointer type identical operational indicator data in set, and based on pointer type, by the operational indicator data of each merging
The first database is updated to, to carry out visual presentation to the operational indicator data respectively merged.
Wherein, above-mentioned Added Business data, refer to some newly-increased real time traffic datas, i.e. newly-increased " on line " and produce
Business datum.Generally, user is correspondingly operated by client, such as registered members, and client can be by the business of user
Data transfer is to operation system.Operation system can safeguard the database of the business datum for client transmissions, when in database
After business datum changes, the device for monitored data storehouse data variation in operation system can be by the change in database
Business datum as Added Business data-pushing give above-mentioned real-time computing subsystem.
For example, user can be by " barter and tick " client registers member, after member registration success, client can use this
The membership information data at family are sent to operation system, and operation system can send the newly-increased membership information data to real-time calculating
Subsystem is calculated in real time.
Above-mentioned newly-increased offline business data, refer to some newly-increased offline business data by manually importing, and in advance
It is stored in the initial off-line data in offline database.
Still by taking registered members as an example, the member that newly-increased offline business data can manually import for the administrative staff of " barter and tick "
Information data, or before the startup of real-time computing subsystem, the initial membership information data just existed.
It is above-mentioned it is real-time calculate, real-time computing subsystem can be referred to and carry out SQL index calculating, further for can refer to implement
Computing subsystem is based on certain dimension, carries out Classifying Sum to above-mentioned Added Business data, forms the business of each pointer type
Achievement data.Above-mentioned Added Business data are carried out Classifying Sum by the dimension such as can be based on member, vehicles while passing quantity.This
In simply in real time calculating exemplarily illustrated, it is not carried out specifically defined.
It should be noted that above-mentioned Added Business data are calculated in real time, the first operational indicator data set can obtain
Close.Data acquisition system obtained by the first operational indicator data acquisition system refers to by calculating in real time.
Above-mentioned off-line calculation, can refer to off-line calculation subsystem and carry out SQL index calculating, further for can refer to it is offline
Computing subsystem is based on certain dimension, carries out Classifying Sum to above-mentioned newly-increased offline business data, forms each operational indicator number
According to.Above-mentioned newly-increased offline business data are carried out Classifying Sum by the dimension such as can be based on member, vehicles while passing quantity.Here
Simply off-line calculation is exemplarily illustrated, it not carried out specifically defined.
It should be noted that above-mentioned newly-increased offline business data are carried out into off-line calculation, the second operational indicator number can obtain
According to set.The second operational indicator data acquisition system refers to by data acquisition system obtained by off-line calculation.
In addition, below-mentioned operational indicator data can refer to the system of the data calculated by real-time calculating platform
Claim.
The application proposes a kind of method for computing data based on real-time calculating platform, and real-time calculating platform can be by counting in real time
Operator Systems and off-line calculation subsystem carry out independent calculating respectively to Added Business data and newly-increased offline business data, by
Independently off-line calculation, therefore can effectively save is carried out in offline business data are stripped out from real-time calculating daughter system
About memory source, improves the performance of equipment.
When realizing, real-time computing subsystem can receive the Added Business data of operation system push.
In a kind of optional implementation, when the business datum of operation system updates, operation system can will be new
Increase business datum to send to the message subsystem of above-mentioned real-time calculating platform, message subsystem can be carried out the Added Business data
Storage.Real-time computing subsystem can subscribe to the Added Business data stored in the message subsystem.For example, message subsystem can be adopted
" push-model " is taken, Added Business data are pushed to real-time computing subsystem on one's own initiative.Certainly, message subsystem, which can also be taken, " draws
Pattern " pushes Added Business data when real-time computing subsystem calls Added Business data, then to real-time computing subsystem.
Certainly, real-time computing subsystem can also directly receive Added Business data of operation system push etc..Merely just
Added Business data are received to real-time computing subsystem exemplarily to be illustrated, it are not carried out specifically defined.
After above-mentioned Added Business data are received, the Added Business that real-time computing subsystem can be pushed for operation system
Data are calculated in real time, obtain the first operational indicator data acquisition system, and the first operational indicator data acquisition system is sent to merging
Subsystem.
In a kind of optional implementation, the real-time calculating platform can also include message subsystem, and son is calculated in real time
System can send the first obtained operational indicator data acquisition system to message subsystem, be referred to first business by message subsystem
Mark data acquisition system is sent to merging subsystem.
Certainly, the first operational indicator data acquisition system also can directly be pushed to merging subsystem by real-time computing subsystem.This
In, simply to real-time computing subsystem to a kind of exemplary illustration for merging subsystem the first operational indicator data acquisition system of transmission,
It is not carried out specifically defined.
Wherein, substantial amounts of operational indicator data, every kind of operational indicator are included in above-mentioned first operational indicator data acquisition system
The pointer type of data is differed.For example, including different classes of operational indicator data in the first operational indicator data acquisition system
Can be the operational indicator data for membership information, for the operational indicator data of vehicles while passing quantity, wherein member, vehicle enters
Pointer type can be represented by going out quantity.
In the embodiment of the present application, the newly-increased offline business data that offline subsystem can be imported for user carry out real-time
Off-line calculation, obtains the second operational indicator data acquisition system, and can send the second operational indicator data acquisition system to message subsystem.
In a kind of optional implementation, the real-time calculating platform can also include message subsystem, off-line calculation
System can send the second obtained operational indicator data acquisition system to message subsystem, be referred to second business by message subsystem
Mark data acquisition system is sent to merging subsystem.
Certainly, the second operational indicator data acquisition system also can directly be pushed to merging subsystem by off-line calculation subsystem.This
In, simply to off-line calculation subsystem to a kind of exemplary illustration for merging subsystem the second operational indicator data acquisition system of transmission,
It is not carried out specifically defined.
It should be noted that the data calculation of off-line calculation is identical with the data calculation calculated in real time, simply
Off-line calculation is calculated using offline batch processing method, calculates calculated using mode in real time in real time, but be all based on
Data are carried out Classifying Sum by certain dimension, generate the data subset of multiple different pointer types.
After completing and independently calculating the separation of newly-increased offline business data and Added Business data, in order to reality
When this two parts data is presented in real time on visualization interface, and this two parts data is backed up, calculated in real time
Platform also needs to possess the function of merging this two parts data.In order to meet the demand that such data merge, this Shen
Please embodiment carried out following processing.
In the embodiment of the present application, merging subsystem can be based on the first business in above-mentioned first operational indicator data acquisition system
Achievement data, is filtered out identical with the pointer type of the first operational indicator data from above-mentioned second operational indicator data acquisition system
The second operational indicator data, then the first operational indicator data are merged with the second operational indicator data.
In a kind of optional implementation, merging subsystem can be based on the first industry in the first operational indicator data acquisition system
The major key ID of business achievement data, is filtered out and major key ID the second business of identical from the second operational indicator data acquisition system
Achievement data, and the first operational indicator data and the second operational indicator data can be merged.
It should be noted that on the one hand, and unlike conventional major key ID configuration mode, in the embodiment of the present application
In a kind of optional implementation, real-time calculating platform can safeguard that a major key ID and pointer type have unique corresponding relation
Mapping table.The operational indicator data configuration of different pointer types has different major key ID, the operational indicator of identical pointer type
Data configuration has identical major key ID.The operational indicator data of different pointer types are distinguished by major key ID.
On the other hand, write the first database when, to the related method for computing data based on real-time calculating platform not
With correlation technique is generally stored using from by the way of increasing major key to the operational indicator data after calculating in real time.For example,
After the first database receives the operational indicator data that real-time calculating platform is calculated, major key ID Jia one automatically.Using it is this from
Increase the mode of major key so that correlation technique by operational indicator data when writing the first database, due to cannot be distinguished by out each
Original operational indicator data of pointer type, so it is difficult to being write with increment (only by newly-increased operational indicator data write-in first
Database) mode write, can only be write with full dose (i.e. by original operational indicator data and newly-increased operational indicator data all
Write the first database) mode real-time calculating platform calculated into obtained operational indicator data write the first database.
And the application uses the storage that uniformity major key carries out operational indicator data, so-called uniformity major key is exactly
Refer to, the operational indicator data of identical pointer type correspondence identical major key ID, using the writing mode of this uniformity major key, by
Original operational indicator data in the first database that each pointer type can be distinguished by major key ID, therefore base can be realized
In major key ID, determine with original operational indicator data corresponding to the operational indicator data merged of each pointer type, so
The operational indicator data of the merging of each pointer type are updated to afterwards store with the first database its is corresponding original
The tables of data of operational indicator data, it is achieved thereby that the operational indicator data increment of merging is write into the first database, therefore can
Efficiently reduce the read-write pressure of database.
When realizing, above-mentioned message subsystem can the pointer type based on the operational indicator data of merging, by the industry of merging
Business achievement data is sent to the first database, so that the operational indicator data of the merging are carried out by the first data base management system can
Depending on changing displaying.
In a kind of optional implementation, above-mentioned merging subsystem can the major key based on the operational indicator data of merging
ID, searches original service achievement data corresponding with major key ID, if in above-mentioned first data in first database
Original service achievement data corresponding with major key ID is found in storehouse, then by the operational indicator data of the merging in the original industry
It is engaged in carrying out cumulative update on the basis of achievement data.
It should be noted that from unlike the update mode in correlation technique described above, it is assumed that operational indicator number
According to for registered members' number, original registered members' number is 1000 people in the first database, it is assumed that the real-time calculating platform of the application
Merge subsystem merge operational indicator data also be registered members' number, be 3000 people, by the operational indicator data of merging
(i.e. 3000 people) are updated to after the first database based on major key ID in the way of cumulative update, and are now shown in the first database
Registered members' number is above-mentioned original registered members' number and the registered members' number sum merged, i.e. 4000 people.
And the update mode of above-mentioned related art scheme is, still by taking above-mentioned example as an example, it is assumed that original in the first database
Registered members' number be 1000 people, and real-time calculating platform in correlation computations scheme calculates that to obtain registered members' number be 3000
People.The update mode of correlation technique is the registered members' number for calculating the real-time calculating platform by way of full dose is covered
(i.e. 3000 people) are updated to the first database, in the updated, and registered members' number of database displaying is 3000 people.
In the embodiment of the present application, if not finding original service corresponding with major key ID in first database
Achievement data, then be added to first database by the operational indicator data of the merging.
The renewal of the first database data is carried out by the way of the incremental update that the embodiment of the present application is provided, can be effectively
Mitigate the read-write pressure of database.
In addition, above-mentioned first database may be configured with the first data base management system for managing first database, first
Data base management system can provide a visual operation interface, be write by the operational indicator data of above-mentioned merging to first
After database, the first data base management system can be carried out real-time by visual operation interface to the operational indicator data of merging
Displaying.
In the embodiment of the present application, when there is abnormal traffic achievement data in above-mentioned first database, subsystem is merged
The message of the abnormal traffic achievement data for first database can be received, is then searched and the abnormal traffic achievement data
Corresponding history service achievement data.Merging subsystem can send the history service achievement data found to the first data
Storehouse, to carry out the amendment of abnormal traffic achievement data.
In a kind of optional implementation, when there is abnormal traffic achievement data in above-mentioned Service Database, message
Subsystem can send the message for the abnormal traffic achievement data of above-mentioned first database to merging subsystem.Merge subsystem
System is after the corresponding history service achievement data of the abnormal traffic achievement data is found, by the history service index found
Data are sent to above-mentioned first database by message subsystem, to carry out the amendment of abnormal traffic achievement data.
In the embodiment of the present application, it is real in order to strengthen the stability for the operational indicator data that real-time calculating platform is calculated
When calculating platform real-time computing subsystem and off-line calculation subsystem can will calculate obtained the first operational indicator data respectively
Set and the second operational indicator data acquisition system are stored to the second database.
In a kind of optional implementation, real-time computing subsystem can will calculate the first obtained operational indicator data set
Conjunction pushes to message subsystem, and the first operational indicator data acquisition system is pushed into the second database by message subsystem is stored up
Deposit.The second operational indicator data acquisition system that offline subsystem can obtain calculating pushes to message subsystem, by message subsystem
The second operational indicator data acquisition system is pushed into the second database to be stored.
It should be noted that above-mentioned second database, mainly as backup database, the industry that message subsystem can be merged
Business achievement data makes a backup store, and can be HDFS distributed file systems or HIVE databases.Merely just to second
Database is exemplarily illustrated, it is not carried out specifically defined.
The application proposes a kind of method for computing data based on real-time calculating platform, real-time calculating of real-time calculating platform
The Added Business data that system can be pushed for operation system are calculated in real time, obtain the first operational indicator data acquisition system, and
The first operational indicator data acquisition system is pushed into message subsystem.The off-line calculation subsystem of real-time calculating platform can be for using
The newly-increased offline business data that family is imported carry out real-time off-line calculation, obtain the second operational indicator data acquisition system, and by this
Two operational indicator data acquisition systems push to message subsystem；Merge subsystem can respectively by the first operational indicator data acquisition system and
Pointer type identical operational indicator data merge in the second operational indicator data acquisition system, and based on pointer type, Jiang Gehe
And operational indicator data be updated to the first database, to carry out visual presentation to the operational indicator data that respectively merge.
On the one hand, real-time calculating platform can be by real-time computing subsystem and off-line calculation subsystem to real-time Added Business
Data and offline Added Business data carry out independent calculating respectively, due to offline business data being separated from real-time calculate
To carry out independently off-line calculation, therefore memory source can be effectively saved, improve the performance of equipment.
On the other hand, due to the operational indicator data correspondence identical major key ID of identical pointer type, real-time calculating platform
Merging subsystem can by major key ID, the first operational indicator data that real-time computing subsystem is calculated and off-line calculation son
The second operational indicator data that system-computed goes out are merged, so as to efficiently solve the Added Business number with incidence relation
According to the connection problem with newly-increased offline business data.
In addition, in real time calculating platform merging subsystem can the major key ID based on the operational indicator data of the merging, will close
And operational indicator data storage to the first database, because the operational indicator data of the merging are based on Added Business data
Carry out calculating merging, so when by operational indicator data storage to the first database of the merging, be also will be newly-increased conjunction
And operational indicator data storage to the first database, so as to efficiently reduce the read-write pressure of database.
Embodiment with the foregoing method for computing data based on real-time calculating platform is corresponding, present invention also provides based on
The embodiment of the data computing device of real-time calculating platform.
The embodiment of the real-time calculating platform of the application can be applied in equipment.Device embodiment can be real by software
It is existing, it can also be realized by way of hardware or software and hardware combining.Exemplified by implemented in software, as on a logical meaning
Device, is that corresponding computer program instructions in nonvolatile memory are read into internal memory by the processor of equipment where it
What middle operation was formed.For hardware view, as shown in figure 3, being a kind of hardware of the real-time calculating platform place equipment of the application
Structure chart, in addition to the processor shown in Fig. 3, internal memory, network outgoing interface and nonvolatile memory, is filled in embodiment
Real-time calculating platform where putting can also include other hardware, to this generally according to the actual functional capability of the real-time calculating platform
Repeat no more.
Fig. 4 is refer to, Fig. 4 is a kind of block diagram based on real-time calculating platform shown in the exemplary embodiment of the application one.
The real-time calculating platform includes real-time computing subsystem 401, off-line calculation subsystem 402, merges subsystem 403.
Wherein, the real-time computing subsystem 401, the Added Business data for being pushed for operation system carry out real-time
Calculate, obtain the first operational indicator data acquisition system, and the first operational indicator data acquisition system is pushed into merging subsystem；
The off-line calculation subsystem 402, the newly-increased offline business data for being imported for user carry out off-line calculation,
The second operational indicator data acquisition system is obtained, and the second operational indicator data acquisition system is pushed into merging subsystem；
The merging subsystem 403, for respectively referring to the first operational indicator data acquisition system and second business
Pointer type identical operational indicator data in data acquisition system are marked to merge, and based on pointer type, by the operational indicator of each merging
Data are updated to the first database, to carry out visual presentation to the operational indicator data respectively merged.
In another optional implementation, the major key ID of the operational indicator data of same pointer type is identical；
The merging subsystem 403, specifically for respectively in the first operational indicator data acquisition system and second industry
It is engaged in achievement data set searching major key ID identical operational indicator data；The major key ID identical business found is referred to
Mark data are merged.
In another optional implementation, the merging subsystem 403 is further used for the business based on merging and referred to
The major key ID of data is marked, original service achievement data corresponding with major key ID is searched in first database；If
Original service achievement data corresponding with major key ID is found in first database, then by the operational indicator number of the merging
Updated according to carrying out adding up on the basis of the original service achievement data；If do not found in first database and the master
The corresponding original service achievement datas of key ID, then be added to first database by the operational indicator data of the merging.
In another optional implementation, the real-time computing subsystem 401 is additionally operable to, by obtain described first
Operational indicator data acquisition system pushes to the second database and stored；
The off-line calculation subsystem 402 is additionally operable to, and obtained the second operational indicator data acquisition system is pushed into
Two databases are stored.
In another optional implementation, the merging subsystem 403, if specifically for first database
In when there is abnormal traffic achievement data, receive the message of the abnormal traffic achievement data for first database；Search
History service achievement data corresponding with the abnormal traffic achievement data；The history service achievement data found is sent
To the first database, to carry out the amendment of abnormal traffic achievement data.
The function of unit and the implementation process of effect specifically refer to correspondence step in the above method in said apparatus
Implementation process, will not be repeated here.
For device embodiment, because it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.Device embodiment described above is only schematical, wherein described be used as separating component
The unit of explanation can be or may not be physically separate, and the part shown as unit can be or can also
It is not physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can be according to reality
Selection some or all of module therein is needed to realize the purpose of application scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
The preferred embodiment of the application is the foregoing is only, not to limit the application, all essences in the application
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of the application protection.
Claims (10)
1. a kind of real-time calculating platform, it is characterised in that the real-time calculating platform includes real-time computing subsystem, off-line calculation
Subsystem, and merge subsystem, methods described includes：
The real-time computing subsystem, for being calculated in real time for the Added Business data that operation system is pushed, obtains
One operational indicator data acquisition system, and the first operational indicator data acquisition system is pushed into merging subsystem；
The off-line calculation subsystem, the newly-increased offline business data for importing for user carry out off-line calculation, obtain the
Two operational indicator data acquisition systems, and the second operational indicator data acquisition system is pushed into merging subsystem；
The merging subsystem, for respectively by the first operational indicator data acquisition system and the second operational indicator data set
Pointer type identical operational indicator data merge in conjunction, and based on pointer type, the operational indicator data of each merging are updated
To the first database, to carry out visual presentation to the operational indicator data respectively merged.
2. according to the method described in claim 1, it is characterised in that the major key ID phases of the operational indicator data of same pointer type
Together；
The merging subsystem, specifically for respectively in the first operational indicator data acquisition system and the second operational indicator number
According to lookup major key ID identical operational indicator data in set；The major key ID identicals operational indicator data found are entered
Row merges.
3. method according to claim 2, it is characterised in that the merging subsystem is further used for, based on merging
The major key ID of operational indicator data, searches original service achievement data corresponding with major key ID in first database；
If original service achievement data corresponding with major key ID is found in first database, by the business of the merging
Achievement data carries out cumulative renewal on the basis of the original service achievement data；If do not found in first database
Original service achievement data corresponding with major key ID, then be added to first data by the operational indicator data of the merging
Storehouse.
4. according to the method described in claim 1, it is characterised in that the real-time computing subsystem is additionally operable to, by obtained institute
State the first operational indicator data acquisition system and push to the second database and stored；
The off-line calculation subsystem is additionally operable to, and obtained the second operational indicator data acquisition system is pushed into the second database
Stored.
5. according to the method described in claim 1, it is characterised in that the merging subsystem specifically for, if described first
When there is abnormal traffic achievement data in database, reception disappears for the abnormal traffic achievement data of first database
Breath；Search history service achievement data corresponding with the abnormal traffic achievement data；By the history service index found
Data are sent to the first database, to carry out the amendment of abnormal traffic achievement data.
6. a kind of method for computing data based on real-time calculating platform, it is characterised in that methods described is applied to calculate flat in real time
Platform, methods described includes：
The Added Business data pushed for operation system are calculated in real time, obtain the first operational indicator data acquisition system, and will
The first operational indicator data acquisition system pushes to merging subsystem；
Off-line calculation is carried out for the newly-increased offline business data that user imports, the second operational indicator data acquisition system is obtained, and will
The second operational indicator data acquisition system pushes to merging subsystem；Wherein, it is described it is real-time calculating with the off-line calculation each other every
From；
Respectively by pointer type identical in the first operational indicator data acquisition system and the second operational indicator data acquisition system
Operational indicator data merge, and based on pointer type, the operational indicator data of each merging are updated into the first database, with to institute
The operational indicator data for stating each merging carry out visual presentation.
7. method according to claim 6, it is characterised in that the major key ID phases of the operational indicator data of same pointer type
Together；
It is described respectively by pointer type phase in the first operational indicator data acquisition system and the second operational indicator data acquisition system
Same operational indicator data merge, including：
It is described to search major key ID in the first operational indicator data acquisition system and the second operational indicator data acquisition system respectively
Identical operational indicator data；
The major key ID identicals operational indicator data found are merged.
8. method according to claim 7, it is characterised in that described to be based on pointer type, by the operational indicator of each merging
Data are updated to the first database, including：
The major key ID of operational indicator data based on merging, is searched corresponding original with major key ID in first database
Operational indicator data；
If original service achievement data corresponding with major key ID is found in first database, by the merging
Operational indicator data carry out cumulative renewal on the basis of the original service achievement data；
If original service achievement data corresponding with major key ID is not found in first database, by the merging
Operational indicator data are added to first database.
9. method according to claim 6, it is characterised in that methods described also includes：
Obtained the first operational indicator data acquisition system is pushed to the second database and stored up by the real-time computing subsystem
Deposit；
Obtained the second operational indicator data acquisition system is pushed to the second database and stored up by the off-line calculation subsystem
Deposit.
10. method according to claim 6, it is characterised in that institute's method also includes：
If there is abnormal traffic achievement data in first database, the abnormal industry for first database is received
The message of business achievement data；
Search history service achievement data corresponding with the abnormal traffic achievement data；
The history service achievement data found is sent to the first database, to carry out repairing for abnormal traffic achievement data
Just.
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