CN108228743A - A kind of real-time big data search engine system - Google Patents
A kind of real-time big data search engine system Download PDFInfo
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- CN108228743A CN108228743A CN201711362882.6A CN201711362882A CN108228743A CN 108228743 A CN108228743 A CN 108228743A CN 201711362882 A CN201711362882 A CN 201711362882A CN 108228743 A CN108228743 A CN 108228743A
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9027—Trees
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The present invention provides a kind of real-time big data search engine system, and based on http protocol, built-up with Apache Lucene, framework includes at least：Acquire the document of various forms and the collector of data；The index of manipulative indexing is created according to the analysis and processing result of document；Store the index database of index；The information resource database of each document of the set with index；It receives the Query Information of extraneous user terminal input and returns to the searcher of query result；Carry out the big data kernel of retrieval work.The embodiment of the present invention can realize the full-text search of real-time streaming data.
Description
Technical field
The present invention relates to Internet technical field more particularly to a kind of real-time big data search engine systems.
Background technology
With the development of informationization technology, especially social networks, mobile interchange, Internet of Things, big data application it is rapid
It emerges and universal, explosive growth is presented in data caused by human social development.Nowadays the global every two days data created are just
It is equivalent to since human civilization and creates the summation of data to the mankind in 2003, but also in the speed increasing with annual 50%
It is long.The mankind have been brought into brand-new " big data " epoch by the data expanded rapidly, data have become with natural resources,
Human resources strategic resource of equal importance and production factors.It is how quick from mass data in face of so huge data
The data needed are obtained, and excavate the knowledge of needs, are the challenges faced now.
Traditional network application system framework mainly has C/S model (or B/S), and S refers to Server (server end), and B refers to
Browser (browser end), C refer to Client (client), differ only in main business logic between the two and are placed on client
End is also placed on server end.By taking C/S model as an example, client passes through UI（Operation interface）The data one generated are interacted with user
As server can be submitted to by network mode carry out business processing, business datum that treated can be stored in database or file
In system, secondary utilization, such as the operations such as data query, statistics and data mining are waited for.The framework (is often referred in big data
TB grades of data volume) in the case of, the analyzing and processing bottlenecks of data is concentrated mainly on database and the I/O of file system, memory and
CPU processing capacities etc. can cause system response is too slow even to cannot respond to, and this system does not have scalability usually,
Its performance can not be improved by increasing storage and computing resource.
Invention content
The technical problems to be solved by the invention are, provide a kind of real-time big data search engine system, can be real very well
The function of search of existing real-time streaming data.
In order to solve the above technical problem, the present invention provides a kind of real-time big data search engine system,
Collector, acquisition come from the document and data of the various forms outside the real-time big data search engine system；
Index, to the collector collected various forms document and database data carry out information extraction, and
Corresponding text analyzer is selected to carry out text analyzing according to Doctype, create the corresponding index of each document；
The index that the index generates is collected and stored to index database；
Information resource database, each document of the set with index, and be associated with the manipulative indexing foundation in the index database；
Searcher, receives the Query Information of extraneous user terminal input, and generate and transmit searching request at the same by search result into
The extraneous user terminal is fed back to after row sequence；
Big data kernel receives the described search request that described search device transmits, corresponding index is carried out in the index database
It retrieves and corresponding file is extracted in described information resources bank, while the result of feedback searching is given to institute with the file retrieved
State searcher.
In an alternate embodiment of the invention, the real-time big data search engine system is by an at least server implementation.
In an alternate embodiment of the invention, the index is specifically used for following the open source code in Apache's Web server
Full-text search engine kit creates the corresponding index of each document.
In an alternate embodiment of the invention, described search request is specifically used for following the open-source generation in Apache's Web server
The form of code full-text search engine tool package definition, and be finally transmitted in a manner of hypertext transfer protocol.
In an alternate embodiment of the invention, the index is when creating each index, by the index and corresponding text
The ID values of shelves carry out map operation；
When searching index, pair of the real-time big data search engine according to the input information retrieval of user in index database
The ID values that should be indexed and map out the document corresponding with the index can return to lookup result and document.
In an alternate embodiment of the invention, described search request is included in keyword search, full-text search and association search extremely
Few one kind.
In an alternate embodiment of the invention, it is described increase, after the request of modification is received by the real-time big data search engine and
After user carries out confirmation submission, the index and associated documents can be just searched in described search device.
In an alternate embodiment of the invention, when the removal request includes ID values, the ID values instruction, which is deleted, includes corresponding ID
The document of value, when the removal request includes search index, the search index instruction is deleted searches according to the search index
All corresponding documents arrived.
In an alternate embodiment of the invention, the collector collected various forms document with extensible markup language
（XML）Form stores.
In an alternate embodiment of the invention, there is expansible plug-in system, completed at faster data by all kinds of plug-in units
Reason and analysis.
In an alternate embodiment of the invention, the expansible plug-in unit includes the participles such as IKAnalyzer, Mmseg4j, Paoding
Device and Solr_Pager paging tools.
The advantageous effect of the embodiment of the present invention is：
The real-time big data search engine system of the present invention, on the one hand, there is the full-text search of real-time streaming data and distributed meter
Function is calculated, the response speed of Data Analysis Services can be improved, suitable for there is the application program of super large data set；It on the one hand, can be by
Multiple servers can realize with the distributed structure/architecture extended, can be convenient for the Dynamical Deployment of server, and pass through increase hardware or
Person is configured multiple servers to manage data simultaneously；In another aspect, with expansible plug-in unit system so that the real-time big data
Search engine faster can handle and analyze data.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of function structure schematic diagram of one embodiment of real-time big data search engine of the present invention.
Fig. 2 is the present invention a kind of function structure and work flow diagram of one embodiment of real-time big data search engine.
Specific embodiment
The explanation of following embodiment is refer to the attached drawing, can be to the specific embodiment implemented to the example present invention.
The embodiment of the present invention provides a kind of real-time big data search engine system, for example, computer, tablet computer, palm
The smart machines such as computer.As depicted in figs. 1 and 2, real-time big data search engine system provided by the invention may include：
Collector 1, acquisition come from the document and data of the various forms outside real-time big data search engine system；Optional
Embodiment in, the collector 1 can be above-mentioned smart machine and data source（It is not shown）The data collector of connection, for example,
The transceiver modules such as USB interface, antenna, display screen.The data source can be other smart machines.The document of the various forms and
Data such as may include increasing, change, delete and inquire at the requests operation.In the specific implementation, user can be by HPPT forms to described
Collector sends the requests operation such as the increase, modification, deletion and inquiry.
Index 2, to collector 1 collected various forms document and database data carry out information extraction,
And corresponding text analyzer is selected to carry out text analyzing according to Doctype, create the corresponding index of each document；Optional
Embodiment in, index 2 of the invention follows the open source code full-text search engine kit in Apache's Web server
（Apache Lucene）Create the index.
The index of the generation of index 2 is collected and stored to index database 5；
Information resource database 6, each document of the set with index, and be associated with the manipulative indexing foundation in index database 5；
Searcher 3, receives the Query Information of extraneous user terminal input, and generates and transmit searching request to big data kernel 4, together
When the search result of big data kernel 4 is ranked up after feed back to user；In an alternate embodiment of the invention, described search request bag
At least one of keyword search, full-text search and association search are included, described search request is followed in Apache's Web server
Open source code full-text search engine tool package definition form, and finally with hypertext transfer protocol（HTTP）Mode into
Row transmission.
Big data kernel 4 receives the searching request that searcher 3 transmits, corresponding indexed search is carried out simultaneously in index database 5
The corresponding file of extraction in information resource database 6, while the result of feedback searching is given to searcher 3 with the file retrieved.
In an alternate embodiment of the invention, index 2, index database 5, searcher 3 and big data kernel 4 can be software function mould
Block, these software function modules can be distributed in different hardware modules（For example, multiple dsp processors）Or different distributed clothes
It realizes or concentrates by a central processing unit in business device（CPU）It realizes.
About the real-time big data search engine system（For example, referred to as：ROSE systems）How real-time big data is carried out
High-speed computation and processing work illustrate, reference can be made to the work flow diagram of Fig. 2.
First, the collector 1 of the ROSE systems collects all kinds of documents and database number from the data source of exterior
According to, and after carrying out classification processing to its document, by index 2 for different types of document select different text analyzers into
Row text analyzing, and index according to corresponding to the common search custom of user terminal and the modes such as keyword create each document and put
Enter into index database 5.In the present embodiment, this index 2 follows the open source code full-text search in Apache's Web server
Engine tool packet（Apache Lucene）The index is created, is created shown in index is as follows：
1st, the catalogue for creating index is specified；
2nd, Directory objects are created；
3rd, it creates and writes index file object Index Writer；
4th, the File arrays of source file are obtained to determine index content；
5th, each document is written with cycle and indexed, created Document objects and Field objects first, represent database respectively
The Column Properties in data line and the row in table；Then Field is added in Document, finally by Index
Writer call function Add Document write document index in index data base；
6th, it closes and writes index object Index Writer.
Create index storage, the corresponding document of the index be numbered with ID values collect in information resource database 6, the index with
The corresponding document id of the index carries out map operation one by one, to find corresponding document subsequently through index.
Certainly create index while, internal system creates also while accordingly the corresponding retrieval mode of the index,
Shown in it is as follows：
1st, it creates and reads index object Index Reader；
2nd, object search Index Searcher are created；
3rd, morphological analysis object Analyzer is created；
4th, syntactic analysis object Query Parser are created
5th, Query Parser call parser to carry out syntactic analysis, generate query grammar tree, put it in Query；
6th, Index Searcher call search methods to scan for query grammar tree Query, obtain result set
TopDocs；
7th, corresponding ScoreDoc is obtained according to TopDocs；
8th, corresponding Document documents are obtained according to ScoreDoc；
9th, corresponding Field attributes are obtained according to Document.
It runs and retrieves in internal system according to above step, user only needs the keyword of input inquiry, passes through searcher 3
Searching request is transmitted to big data kernel 4（Such as keyword search, full-text search, association search etc.）；Again by big data kernel 4
Corresponding indexed search is retrieved, and extract letter the result of retrieval and according to mapping relations in index database 5 according to searching request
The file that ID values are corresponded in breath resources bank feeds back be given to searcher 3 together；Further, search result is arranged by searcher 3
User terminal is returned to after sequence and is carried out at the same time caching.As previously mentioned, described search request includes keyword search, full-text search
And at least one of association search, the open source code that described search request can be equally followed in Apache's Web server are complete
The form of literary search engine tool package definition, and finally with hypertext transfer protocol（HTTP）Mode be transmitted.
Primary search can be completed by above all steps.In the present embodiment, the collected various lattice of collector 1
The document of formula is with extensible markup language（XML）Form stores, while also carries out response according to XML form and return to user.
Certainly in other alternative embodiments, document can be stored as the file of extended formatting, this has no effect on inquiry of the user terminal to it
Search.
In order to realize more efficient utilization Distributed Calculation function, the real-time big data search engine system in the present embodiment
System can pass through Zookeeper（The distributed application program service software of open source code）At least one server cluster is set up,
The shared server resource for being dispersed in each user terminal realizes real-time big data search engine functionality jointly, so as to reach high-speed computation
With the function of storage, response speed is improved.
Since the ROSE search engine systems of the present invention can be established on the framework of cluster server, different use per family may be used
Relevant operation is carried out to respectively own document, which receives corresponding request also will be to the corresponding index in its inside and text
Shelves carry out relevant operation, such as the operations such as increase, modification, deletion and inquiry.
In an alternate embodiment of the invention, in order to improve safety, increase and modification request that user sends out need user to confirm
After submission, it could increase inside search engine system and update corresponding index and document, at this time search engine system ability
Search newly-increased or updated document；User can only delete the document of corresponding ID by way of inputting ID values, if
All documents of query result return can be then deleted using search index mode.
In order to which the ROSE search engine systems is made more quickly to handle analysis data, which has opened can
The plug-in system of extension can install the segmenter such as such as IKAnalyzer, Mmseg4j, Paoding to realize Chinese word segmentation work(
Can, Solr_Pager pagings tool can also be installed to realize search two-page separation function.Certainly it in other alternative embodiments, is based on
More plug-in units can be opened according to actual demand to realize more functions under the frame of HTTP and WEB.
Above ROSE search engine systems realize real-time streaming data full-text search function and distributed system it is common
The working method of calculating is suitble in the application program for being used in super large data set.
By above description it is found that the beneficial effects of the present invention are：
Using real-time big data search engine, on the one hand, there is the full-text search of real-time streaming data and Distributed Calculation, it can
The response speed of Data Analysis Services is improved, suitable for there is the application program of super large data set；On the one hand, expansible distribution
Computing architecture can realize Dynamical Deployment, by increase hardware or the multiple servers of configuration come and meanwhile manage data；On the one hand,
With expansible plug-in unit system so that the real-time big data search engine faster can handle and analyze data.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent variations made according to the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of real-time big data search engine system, which is characterized in that including：
Collector, acquisition come from the document and data of the various forms outside the real-time big data search engine system；
Index, to the collector collected various forms document and database data carry out information extraction, and
Corresponding text analyzer is selected to carry out text analyzing according to Doctype, create the corresponding index of each document；
The index that the index generates is collected and stored to index database；
Information resource database, each document of the set with index, and be associated with the manipulative indexing foundation in the index database；
Searcher, receives the Query Information of extraneous user terminal input, and generate and transmit searching request at the same by search result into
The extraneous user terminal is fed back to after row sequence；
Big data kernel receives the described search request that described search device transmits, corresponding index is carried out in the index database
It retrieves and corresponding file is extracted in described information resources bank, while the result of feedback searching is given to institute with the file retrieved
State searcher.
2. real-time big data search engine system according to claim 1, which is characterized in that the real-time big data search
Automotive engine system is by an at least server implementation.
3. real-time big data search engine system according to claim 1 or 2, which is characterized in that the index implement body
The corresponding rope of each document is created for following the open source code full-text search engine kit in Apache's Web server
Draw.
4. real-time big data search engine system according to claim 1 or 2, which is characterized in that described search request tool
Body is used to follow the form of open source code full-text search engine tool package definition in Apache's Web server, and finally with
The mode of hypertext transfer protocol is transmitted.
5. real-time big data search engine system according to claim 1, which is characterized in that the index is creating often
During a index, the ID values of the index and corresponding document are subjected to map operation；
When searching index, pair of the real-time big data search engine according to the input information retrieval of user in index database
The ID values that should be indexed and map out the document corresponding with the index can return to lookup result and document.
6. real-time big data search engine system according to claim 4, which is characterized in that described search request includes
At least one of keyword search, full-text search and association search.
7. real-time big data search engine system according to claim 6, which is characterized in that it is described increase, modification please
It asks after being received by the real-time big data search engine and after user carries out confirmation submission, could be searched in described search device
To the index and associated documents.
8. real-time big data search engine system according to claim 6, which is characterized in that when the removal request includes
During ID values, the document for including corresponding ID values is deleted in the ID values instruction, described to look into when the removal request includes search index
It askes index instruction and deletes all corresponding documents searched out according to the search index.
9. real-time big data search engine system according to claim 1, which is characterized in that the collector is collected
Various forms document with extensible markup language（XML）Form stores.
10. real-time big data search engine system according to claim 1, which is characterized in that there is expansible plug-in unit
System completes faster data processing and analysis by all kinds of plug-in units, the expansible plug-in unit include IKAnalyzer,
Mmseg4j, Paoding segmenter and Solr_Pager paging tools.
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| CN110069573A (en) * | 2019-03-19 | 2019-07-30 | 深圳壹账通智能科技有限公司 | Product data integration method, apparatus, computer equipment and storage medium |
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| CN112380412A (en) * | 2020-11-11 | 2021-02-19 | 深圳供电局有限公司 | Optimization method for screening matching information based on big data |
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Application publication date: 20180629 |