CN107679151A - A kind of data processing method based on ELA big data flight deck systems - Google Patents
A kind of data processing method based on ELA big data flight deck systems Download PDFInfo
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- CN107679151A CN107679151A CN201710884137.1A CN201710884137A CN107679151A CN 107679151 A CN107679151 A CN 107679151A CN 201710884137 A CN201710884137 A CN 201710884137A CN 107679151 A CN107679151 A CN 107679151A
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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
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
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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
- G06F16/248—Presentation of query results
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
Abstract
The present invention relates to one kind to be based on ELA big data flight deck system data processing methods, comprises the following steps：S1：First Logstash servers obtain real-time Log data by web server, and Redis cache modules are kept in after collecting the real-time Log data of web server；S2：The real-time Log data of interim storage are taken out to be sent in ElasticSearch servers and stored by the 2nd Logstash servers again in Redis cache modules；S3：Database storage module will be sent to after data acquisition by ElasticSearch servers；S4：Database storage module transfers data to data analysis and processing module；S5：Data are showed by data disaply moudle with word or 2D, 3D figure according to the high-order decision data that data analysis and processing module are formed.The type service big datas such as the present invention is user behavior analysis, user draws a portrait calculate, data present and provide a kind of effective solution, solve the problems, such as that traditional data warehouse storage capacity is limited, reading efficiency is low, form implementation process ossifys.
Description
Technical field
The invention belongs to business intelligence real-time data analysis technical field, be related to a kind of big data driving cabin technology is
System, more particularly to a kind of data processing method based on ELA big data flight deck systems.
Background technology
Today's society is that an information explodes, the horizontal winged world of data, with the arrival of big data upsurge in the last few years, number
According to arrangement, conclude and be parsed into focus of concern.Data analysis is a special subject, and it is information, data
A variety of subjects such as excavation, data management, information theory, cognitive science, man-machine interaction, graphics, image procossing, which mutually blend, to be derived
A kind of analysis method.Its main advantage is that it can either make full use of the high calculating, high memory, high storage of computer
Performance is stored, calculated and handled to multi-dimensional complicated data set, by data conversion, be mapped to figure, image is analyzed, and
It can be visualized from many levels such as initial data, mining model, analysis results, carry out dynamic gradual man-machine friendship
Mutually analysis, allow users to carry out data selection by naked eyes, hiding information is found in data and is made in time corresponding
Behavior adjustment.
When it was recognized that data analysis importance after, on the market also just with should and gone out many data analysis systems.
The data analysis of these systems at present, decision accounting generation be typically all using be BI (Business Intelligence) and
This two technologies of BO (Business Object)；BI namely it has often been said that business intelligence, as its name suggests, it refers to existing
Codes or data REPOSITORY TECHNOLOGY, on-line analysis treatment technology, data mining and data exhibiting technology carry out data analysis to realize business
Value, business intelligence mainly include the technology such as data mining, ETL；BO is exactly the allocation function under Business Intelligence system in fact, is
Form, inquiry and analysis, performance management and the data integration of Business Intelligence system provide the foundation technological architecture.It is mainly
Technology, including crystal report, webReport etc. is presented in data.
But BI technologies are mainly still directed to traditional database, such as oracle, mysql etc., data volume is limited, it is impossible to full
The storage and analysis that sufficient Internet superman mass data accesses calculate, and therefore, data can not be used when accepting first-hand user data
Warehouse；
Open inadequate and although BO technologies can do very beautiful form, underaction is used, it is impossible to whenever and wherever possible
According to marketing data editor analysis, decision information, decision-making hysteresis.
Therefore, all there is data warehouse storage capacity is limited, reading efficiency is low, report substantially for existing data analysis system
The problem of table implementation process ossifys.This leverages the experience on probation of user, also occurs the analyzable content of user
Limitation.Above Railway Project is always the technical barrier that business intelligence real-time data analysis technical field is badly in need of solving.
The content of the invention
In order to solve the technical problem in the presence of background technology, a kind of data based on ELA big data flight deck systems
Processing method, system include being disposed with Web server, the first Logstash servers, Redis on data flow circulation path
Cache module, the 2nd Logstash servers, ElasticSearch servers, database storage module, data analysis and processing
Module and data disaply moudle；
Above-mentioned Web server is used to provide the real-time Log used required for the system based on ELA big data driving cabin technologies
Data；
Above-mentioned first Logstash servers are used for the real time data for capturing Web server offer；
Above-mentioned Redis cache modules are used to be kept in the real time data that Logstash servers capture；
Above-mentioned 2nd Logstash servers are used to the real time data kept in Redis cache modules being sent to
ElasticSearch servers；
Above-mentioned ElasticSearch servers are used to provide function of search and by real-time data memory to database purchase mould
Block；
Above-mentioned database storage module is used to provide fundamental analysis data to data analysis and processing module；
Above-mentioned data analysis is used to the fundamental analysis data after processing being sent to data disaply moudle with processing module；
Above-mentioned data disaply moudle is used to show to user forms figure or chart by high-order decision data；
It is characterized in that：Comprise the following steps：
S1：First Logstash servers obtain real-time Log data by web server, and it is real-time to collect web server
Redis cache modules are kept in after Log data；Above-mentioned Log data in real time, which are temporarily stored in Redis cache modules, to be used to deposit temporarily
Storage, ensure the integrality of data；
S2：The real-time Log data of interim storage are taken out by the 2nd Logstash servers pass again in Redis cache modules
Deliver in ElasticSearch servers and store；
S3：Database storage module will be sent to after data acquisition by ElasticSearch servers；
S4：Database storage module transfers data to data analysis and processing module；Above-mentioned data analysis and processing mould
Block to form high-order decision data by data analysis and processing；
S5：The high-order decision data formed according to data analysis and processing module is by data by data disaply moudle with text
Word or 2D, 3D figure show.
The external interface of ElasticSearch servers is REST formula interfaces in above-mentioned steps S2.
Data cleansing module that above-mentioned steps S4 data analyses and processing module include setting gradually, data conversion module and
Data loading module；The fundamental analysis data pass through data cleansing module, data conversion module and data loading module successively
High-order decision data is formed after processing.
Above-mentioned steps S4 data analyses also include the highCharts for being arranged on data loading module rear end with processing module
Chart library module.
Above-mentioned steps S4highCharts chart library modules are based on the chart storehouse built under AngularJS frameworks.
The height that above-mentioned steps S4 data analyses will be obtained with processing module by highCharts charts library module after processing
Rank decision data changes 2D or 3D figures.
Above-mentioned steps S3 database storage modules are based on the memory module under mysql data management systems.
Above-mentioned steps S5 data disaply moudles include some self-defined display modules for being used to show figure or word.
The real time data that above-mentioned steps S5 is used to be formed the figure or word shown by each self-defined display module is different.
1. it is an advantage of the invention that：In view of relational data warehouse storage capacity finite sum reading efficiency is low, the present invention adopts
With logstash+redis+elasticSearch, web services daily record is obtained by logstash, has mainly used logstash
The characteristics of reading log daily record efficiency highs, log data keep in redis cache databases, mainly using redis come by data
Transmittance process decouples, and forms streaming computing, and final data is stored in elasticSearch, and elasticSearch is key-
The memory database of value structures, memory capacity is big, and using lucene as plain engine is searched, efficiency data query is high, while it
Very simple friendly REST interfaces are additionally provided, can conveniently obtain data.
2. ossifing for BO implementation process, the present invention uses AngularJS+highCharts technologies, allows static statement to become
Into the wisdom driving cabin that can adjust decision strategy in real time according to turn of the market, specifically, AngularJS can provide decision-making or fortune
The function of battalion personnel Editing Strategy on form, What You See Is What You Get after having edited, highCharts are at present 3D to be supported to compare
Good pattern space, simultaneously so that form can be flexibly presented independent of background service logic.
The type service big datas the such as 3. present invention is user behavior analysis, user draws a portrait calculate, data present and provide one
Kind of effective solution, efficiently solves that traditional data warehouse storage capacity is limited, reading efficiency is low, form implementation process ossifys
The problem of.
Brief description of the drawings
Fig. 1 is the inventive method block diagram；
Fig. 2 is present system structural framing figure；
Fig. 3 is present system operational flowchart；
Fig. 4 is data analysis of the present invention and processing module structural representation；
Wherein, 1-Web servers, the Logstash servers of 2- the first, 3-Redis cache modules, the Logstash of 4- the 2nd
Server, 5-ElasticSearch servers, 6- database storage modules, 7- data analyses and processing module, 8- data are shown
Module.
Embodiment
We combine the preferred embodiment that Figure of description introduces the present invention below, and citing proves that the present invention can be real
Apply, its technology contents can be made more clear and readily appreciated to those of skill in the art's complete description present invention.This hair
Bright to be emerged from by many various forms of embodiments, its protection domain is not limited only to the implementation mentioned in text
Example, figures and description herein substantially illustrate rather than the limitation present invention.
As Figure 1-4, a kind of data processing method based on ELA big data flight deck systems, system include data flow
Web server 1, the first Logstash servers 2, Redis cache modules 3, second are disposed with circulation path
Logstash servers 4, ElasticSearch servers 5, database storage module 6, data analysis and processing module 7 and number
According to display module 8；
Web server 1 is used to provide the real-time Log numbers used required for the system based on ELA big data driving cabin technologies
According to；
First Logstash servers 2 are used for the real time data for capturing the offer of Web server 1；
Redis cache modules 3 are used to be kept in the real time data that Logstash servers 2 capture；
2nd Logstash servers 4 are used to the real time data kept in Redis cache modules 3 being sent to
ElasticSearch servers 5；
ElasticSearch servers 5 are used to provide function of search and by real-time data memory to database storage module
6；
Database storage module 6 is used to provide fundamental analysis data to data analysis and processing module 7；
Data analysis is used to the fundamental analysis data after processing being sent to data disaply moudle 8 with processing module 7；
Data disaply moudle 8 is used to show to user forms figure or chart by high-order decision data.
Specific steps include：
S1：First Logstash servers 2 obtain real-time Log data by web server 1, collect web server 1
Redis cache modules 3 are kept in after real-time Log data；Real-time Log data, which are temporarily stored in Redis3, is used for interim storage, ensures
The integrality of data；
S2：The real-time Log data of interim storage are taken out by the 2nd Logstash servers 4 again in Redis cache modules 3
It is sent in ElasticSearch servers 5 and stores；
S3：Database storage module 6 will be sent to by ElasticSearch servers 5 after data acquisition；
S4：Database storage module 6 transfers data to data analysis and processing module 7；Data analysis and processing module 7
High-order decision data is formed by data analysis and processing；
S5：According to the high-order decision data that data analysis and processing module 7 are formed by data by data disaply moudle 8 with
Word or 2D, 3D figure show.
The external interface of step S2ElasticSearch servers 5 is REST formula interfaces.
Step S4 data analyses and processing module 7 include data cleansing module, the data conversion module sum set gradually
According to loading module；The fundamental analysis data are located successively by data cleansing module, data conversion module and data loading module
High-order decision data is formed after reason.
Step S4 data analyses also include the highCharts charts for being arranged on data loading module rear end with processing module 7
Library module.
Step S4highCharts chart library modules are based on the chart storehouse built under AngularJS frameworks.
Step S4 data analyses are determined the high-order obtained after processing by highCharts charts library module with processing module 7
Plan data conversion 2D or 3D figure.
Step S3 database storage modules 6 are based on the memory module under mysql data management systems.
Step S5 data disaply moudles 8 include some self-defined display modules for being used to show figure or word.
The real time data that step S5 is used to be formed the figure or word shown by each self-defined display module is different.
Embodiment one
A kind of Property Management System based on ELA big data flight deck system data processing methods, management system are managed respectively
User of service's uses peak value and use habit in various electrical automation systems and estate management area in reason property.
When administrative staff log in the Property Management System of the system based on ELA big data driving cabin technologies, system is first
To go to take Log daily records, by log analysis user behavior, analyzed by real-time behavioral data, displaying statistical result carrys out service guidance,
By such data analysis infrastructure management company can be made to obtain managing data accordingly, such as：Parking lot in all with weekend uses
Rate, vacancy rate, user's daytime in the range of estate management and the people of the power consumption discriminatory analysis range of management at night can also be passed through
Mouth closeness, so can reasonably plan open and close of supporting setting etc.；Due to used in property management personnel
It is a kind of system based on ELA big data driving cabin technologies, therefore, need not be from each in the rating for carrying out user behavior analysis
Log code is implanted into operation system, the system directly can transfer real-time log data by Web server, therefore will not send out
Mutual intrusion between raw each system, so not only increases the security that efficiency also ensure that each system.
Embodiment two
A kind of park management system based on ELA big data flight deck system data processing methods, in management system respectively
The facility information that tends a park, environmental information, ticket income information, visitor's quantity information etc. in park.
When staff logs in the park management system of the system based on ELA big data driving cabin technologies, Web server
Real time data is sent to logstash, keeps in redis cache databases after collecting web services daily record, data are temporarily stored in
Primarily to decoupling in redis, ensure the integrality of data；Pass through another again for the daily record data in redis
Logstash service taking-ups, which are put into elasticSearch services, to be stored, and elasticSearch is also a big data storage number
According to storehouse, while provide data search engine and REST external interfaces easy to use.The REST provided by elasticSearch
Service, by storage after the data acquisition in elasticSearch into relevant database mysql, these data are as BI points
Analysis basis；By forming high-order decision data after ETL data cleansings, conversion and loading；Pass through AngularJS and highCharts
Both pictures and texts are excellent shows by high-order decision data and Real-time Decision opinion for technology, forms big data driving cabin.Wherein,
AngularJS provides flexible decision-making opinion editting function, and highCharts provides various 2D, 3D figures.Staff according to
The information that big data driving cabin is provided can change the campaign item in recent park for the increase and decrease of domestic visitors, can also
The real work amount of staff is greatly reduced, is carried to having recreation facility to overhaul in park according to system information in time
The high operating efficiency of staff.
The proper noun that we are directed in being described above below is further explained：
ElasticSearch is a search server based on Lucene.It provides a distributed multi-user energy
The full-text search engine of power, based on RESTful web interfaces.
Logstash is an instrument increased income completely, and he can be collected to your daily record, analyze, and be stored
Use and (e.g., search for) after being provided with, you can use it.Search is mentioned, logstash carries a web interface, search and displaying
All daily records.
Redis be one increase income write using ANSI C languages, support network, can based on internal memory also can persistence day
Will type, Key-Value databases, and the API of multilingual is provided.It largely compensate for this kind of key/value of memcached
The deficiency of storage, in part, occasion can play good supplementary function to relational database.It provides Java, C/C++,
The clients such as C#, PHP, JavaScript, Perl, Object-C, Python, Ruby, Erlang, using very convenient.
ETL is the important ring for building data warehouse, and user extracts required data from data source, clear by data
Wash, finally according to the data warehouse model pre-defined, load data into data warehouse.
AngularJS is a outstanding front end JS frameworks.
Nginx is Web server/Reverse Proxy and Email (IMAP/POP3) agency of a lightweight
Server, and issued under a BSD-like agreement.Developed by the programmer Igor Sysoev of Russia, for Russia
The large-scale entry network site of state and search engine Rambler (Russian：Р а м б л e р) use.Be characterized in occupying internal memory it is few, concurrently
Ability is strong, and in fact nginx concurrent capability shows preferably really in the web page server of same type.
Apache is that the world uses the web server software to rank the first.It may operate in nearly all widely use
Computer platform on, be one of most popular Web server end software because its cross-platform and security is widely used.
It is quick, reliable and can be expanded by simple API, and the interpreters such as Perl/Python are compiled into server.
Highcharts is a chart storehouse of a pure written in JavaScript of use, can be very simple and convenient in web
Website or weblication are added with the chart of interactivity, and are provided freely to self-study, personal website and non-commercial
Purposes uses.The subtype that HighCharts is supported has curve map, administrative division map, block diagram, cake chart, bulk point diagram and synthesis
Chart.
Lucene is a set of library of increasing income for full-text search and search, is the full-text search of an open source code
Engine tool bag, but it is not a complete full-text search engine, but the framework of a full-text search engine, there is provided it is complete
Whole query engine and index engine, part text analyzing engine (English and two kinds of western languages of German).Lucene purpose
It is to provide a kit easy to use for software developer, easily to realize the work(of full-text search in goal systems
Can, or complete full-text search engine is set up based on this.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, some improvement and modification can also be made, these improvement and modification
Also it should be regarded as protection scope of the present invention.
Claims (9)
1. a kind of data processing method based on ELA big data flight deck systems, system include on the circulation path of data flow according to
It is secondary be provided with Web server, the first Logstash servers, Redis cache modules, the 2nd Logstash servers,
ElasticSearch servers, database storage module, data analysis and processing module and data disaply moudle；
The Web server is used to provide the real-time Log numbers used required for the system based on ELA big data driving cabin technologies
According to；
The first Logstash servers are used for the real-time log data for capturing Web server offer；
The Redis cache modules are used to be kept in the real-time log data of the first Logstash servers crawl；
The 2nd Logstash servers are used to the real-time log data kept in Redis cache modules being sent to
ElasticSearch servers；
The ElasticSearch servers are used to provide function of search and by real-time log data Cun Chudao database purchase moulds
Block；
The database storage module is used to provide fundamental analysis data to data analysis and processing module；
The data analysis is used to the fundamental analysis data after processing being sent to data disaply moudle with processing module；
The data disaply moudle is used to show the figure or chart being made up of high-order decision data to user；
It is characterized in that：Comprise the following steps：
S1：First Logstash servers obtain real-time Log data by web server, collect the real-time Log of web server
Redis cache modules are kept in after data；The Log data in real time, which are temporarily stored in Redis, is used for interim storage, ensures data
Integrality；
S2：The real-time Log data of interim storage are taken out by the 2nd Logstash servers be sent to again in Redis cache modules
Stored in ElasticSearch servers；
S3：Database storage module will be sent to after data acquisition by ElasticSearch servers；
S4：Database storage module transfers data to data analysis and processing module；The data analysis is led to processing module
Data analysis is crossed to form high-order decision data with processing；
S5：According to the high-order decision data that data analysis and processing module are formed by data by data disaply moudle with word or
2D, 3D figure show.
2. a kind of data processing method based on ELA big data flight deck systems according to claim 1, its feature exist
In：The external interface of ElasticSearch servers is REST formula interfaces in the step S2.
3. a kind of data processing method based on ELA big data flight deck systems according to claim 2, its feature exist
In：The step S4 data analyses and processing module include data cleansing module, data conversion module and the data set gradually
Loading module；The fundamental analysis data are handled successively by data cleansing module, data conversion module and data loading module
High-order decision data is formed afterwards.
4. a kind of data processing method based on ELA big data flight deck systems according to claim 3, its feature exist
In：The step S4 data analyses also include the highCharts charts storehouse for being arranged on data loading module rear end with processing module
Module.
5. a kind of data processing method based on ELA big data flight deck systems according to claim 4, its feature exist
In：The step S4highCharts chart library modules are based on the chart storehouse built under AngularJS frameworks.
6. a kind of data processing method based on ELA big data flight deck systems according to claim 5, its feature exist
In：The high-order decision-making that the step S4 data analyses will be obtained with processing module by highCharts charts library module after processing
Data conversion 2D or 3D figure.
7. a kind of data processing method based on ELA big data flight deck systems according to claim 6, its feature exist
In：The step S3 database storage modules are based on the memory module under mysql data management systems.
8. a kind of data processing method based on ELA big data flight deck systems according to claim 7, its feature exist
In：The step S5 data disaply moudles include some self-defined display modules for being used to show figure or word.
9. a kind of data processing method based on ELA big data flight deck systems according to claim 8, its feature exist
In：The real-time log data that the step S5 is used to be formed the figure or word shown by each self-defined display module are different.
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| CN110781217A (en) * | 2019-09-20 | 2020-02-11 | 中国平安人寿保险股份有限公司 | Processing method and device of sequencing data, storage medium and server |
| CN110781217B (en) * | 2019-09-20 | 2023-11-24 | 中国平安人寿保险股份有限公司 | Method and device for processing ordered data, storage medium and server |
| CN112131219A (en) * | 2020-09-15 | 2020-12-25 | 江苏银承网络科技股份有限公司 | Customer maintenance management method and system |
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