CN111538884A - Data searching method, device and equipment and computer readable storage medium - Google Patents
Data searching method, device and equipment and computer readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000013075 data extraction Methods 0.000 claims abstract description 18
- 238000000605 extraction Methods 0.000 claims abstract description 13
- 230000010354 integration Effects 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 8
- 230000004927 fusion Effects 0.000 claims description 7
- 238000013079 data visualisation Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
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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
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/532—Query formulation, e.g. graphical querying
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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
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/632—Query formulation
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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
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/732—Query formulation
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9532—Query formulation
Abstract
The invention discloses a data searching method, which comprises the following steps: receiving a target data search request; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system. By applying the technical scheme provided by the embodiment of the invention, the data search process is greatly simplified, the data search time is shortened, and the manpower is greatly saved. The invention also discloses a data searching device, equipment and a storage medium, and has corresponding technical effects.
Description
Technical Field
The present invention relates to the field of big data technologies, and in particular, to a data search method, apparatus, device, and computer-readable storage medium.
Background
With the development of big data, the data volume of various data media such as digital documents, pictures, sound, video and the like which exist in reality is increasing. When a user needs to search a certain part of data, because existing various data media cannot be aggregated and data boundaries cannot be associated, various data are independent, heterogeneous data is difficult to arrange, the user needs to search corresponding data in various systems, the user often cannot quickly retrieve the required target data, the data search consumes long time, and extra manpower consumption is caused.
In summary, how to effectively solve the problems of long data searching time and extra manpower consumption in the existing data searching mode is a problem that needs to be solved urgently by a person skilled in the art at present.
Disclosure of Invention
The invention aims to provide a data search method, which greatly simplifies the data search process, shortens the data search time and greatly saves the manpower; another object of the present invention is to provide a data search apparatus, a device and a computer-readable storage medium.
In order to solve the technical problems, the invention provides the following technical scheme:
a method of data searching, comprising:
receiving a target data search request;
analyzing the target data search request to obtain target data attribute information;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by performing extraction operation integration on data in each system according to a preset data extraction mode corresponding to each system.
In an embodiment of the present invention, the integration process of the data set includes:
performing Schema analysis and information reading operation on a database system to obtain a database data subset; the information reading comprises table information reading, field information reading and main key information reading;
performing data extraction on the network system by using a network crawler engine to obtain a network data subset;
and carrying out integrated fusion operation on the database data subset and the network data subset to obtain the data set.
In an embodiment of the present invention, after obtaining the data set, the method further includes:
creating a basic word stock, an industry word stock and a sensitive word stock based on the data set;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information, wherein the data search comprises the following steps:
and performing data search on the data set by using the ElasticSearch search engine according to the target data attribute information based on the basic word bank, the industry word bank and the sensitive word bank.
In a specific embodiment of the present invention, analyzing the target data search request to obtain target data attribute information includes:
analyzing the target data search request to obtain the target data attribute information and requester identity information;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information, wherein the data search comprises the following steps:
performing authority verification on the data requester according to the identity information of the requester;
and when the authority of the data requester is verified, performing data search on the data set by using the ElasticSearch search engine according to the target data attribute information.
In an embodiment of the present invention, after obtaining the target data, the method further includes:
and performing data visualization display operation on the target data.
A data search apparatus comprising:
the request receiving module is used for receiving a target data searching request;
the request analysis module is used for analyzing the target data search request to obtain target data attribute information;
the data search module is used for searching data of a pre-stored data set by utilizing a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by performing extraction operation integration on data in each system according to a preset data extraction mode corresponding to each system.
In one embodiment of the present invention, a data set integration module is included, the data set integration module including:
the database subset obtaining submodule is used for carrying out Schema analysis and information reading operation on the database system to obtain a database subset; the information reading comprises table information reading, field information reading and main key information reading;
the network data subset obtaining submodule is used for extracting data of the network system by utilizing the network crawler engine to obtain a network data subset;
and the data set obtaining submodule is used for carrying out integrated fusion operation on the database data subset and the network data subset to obtain the data set.
In an embodiment of the present invention, the data set integration module further includes:
the word stock creating submodule is used for creating a basic word stock, an industry word stock and a sensitive word stock based on the data set after the data set is obtained;
the data search module is specifically a module for performing data search on the data set according to the target data attribute information by using the elastic search engine based on the basic word bank, the industry word bank and the sensitive word bank.
A data search apparatus comprising:
a memory for storing a computer program;
a processor for implementing the steps of the data search method as described above when executing the computer program.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the data search method as set forth above.
By applying the method provided by the embodiment of the invention, a target data search request is received; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system. The data search method has the advantages that the data search process is greatly simplified, the data search time is shortened, and the manpower is greatly saved.
Correspondingly, the embodiment of the invention also provides a data searching device, equipment and a computer readable storage medium corresponding to the data searching method, which have the technical effects and are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an implementation of a data search method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another implementation of a data search method according to an embodiment of the present invention;
FIG. 3 is a block diagram of a data search apparatus according to an embodiment of the present invention;
fig. 4 is a block diagram of a data search device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, fig. 1 is a flowchart of an implementation of a data searching method according to an embodiment of the present invention, where the method may include the following steps:
s101: a target data search request is received.
When a requester needs to search data, a target data search request is sent to a data search center, wherein the target data search request comprises target data attribute information of target data needing to be searched. The data search center receives a target data search request.
S102: and analyzing the target data search request to obtain target data attribute information.
After receiving the target data search request, analyzing the target data search request to obtain target data attribute information. The target data attribute information may include domain information, data type information, and the like, to which the target data relates.
S103: performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system.
The method comprises the steps of deploying an ElasticSearch search engine for data search in advance, setting corresponding data extraction modes for each system in advance, extracting data in each system according to the preset data extraction modes corresponding to each system, integrating to obtain a data set, and storing the data set. After the target data attribute information is acquired, a pre-deployed ElasticSearch search engine is used for carrying out data search on a pre-stored data set according to the target data attribute information to obtain target data. The method fully utilizes the advantages of real-time search, stability, reliability, rapidness and convenient installation and use of the ElasticSearch search engine. The data association is realized, the situation of data isolated island is broken, and the data search efficiency is greatly improved.
By applying the method provided by the embodiment of the invention, a target data search request is received; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system. The data search method has the advantages that the data search process is greatly simplified, the data search time is shortened, and the manpower is greatly saved.
It should be noted that, based on the first embodiment, the embodiment of the present invention further provides a corresponding improvement scheme. In the following embodiments, steps that are the same as or correspond to those in the first embodiment may be referred to each other, and corresponding advantageous effects may also be referred to each other, which are not described in detail in the following modified embodiments.
Example two:
referring to fig. 2, fig. 2 is a flowchart of another implementation of a data searching method according to an embodiment of the present invention, where the method may include the following steps:
s201: performing Schema analysis and information reading operation on a database system to obtain a database data subset; the information reading comprises table information reading, field information reading and main key information reading.
And performing Schema analysis and information reading operation on database systems such as Oracle, SqlServer, Mysql structured databases and the like to obtain a database data subset. For example, table information reading, field information reading, main key information reading and the like are carried out, and the visual index structure mapping is realized. The Schema is a set of database objects, and the Schema analysis can be performed to obtain which data objects are included in the database system.
S202: and performing data extraction on the network system by using the network crawler engine to obtain a network data subset.
And based on the search requirement of the user on the network data, extracting data of the network system by utilizing a network crawler engine in advance to obtain a network data subset.
S203: and carrying out integrated fusion operation on the database data subsets and the network data subsets to obtain the data set.
And after the database data subset and the network data subset are extracted, carrying out integrated fusion operation on the database data subset and the network data subset to obtain a data set.
It should be noted that the data set may include other pre-extracted data subsets besides the database data subset and the network data subset, which is not limited in the embodiment of the present invention.
S204: and creating a basic word stock, an industry word stock and a sensitive word stock based on the data set.
After the data sets are integrated, a basic word stock, an industry word stock and a sensitive word stock are created based on the data sets. The search efficiency of the data is further improved by creating a basic word bank; the search experience of industry proper nouns, uncommon words and self-defined industry words is enhanced by creating an industry word bank; the sensitive word bank is created, and the data is protected by processing means of obfuscating and encrypting the confidential data, so that the searching experience is enhanced.
S205: a target data search request is received.
S206: and analyzing the target data search request to obtain target data attribute information and requester identity information.
The target data search request also includes requester identity information. After receiving the target data search request, analyzing the target data search request to obtain target data attribute information and requester identity information.
S207: and performing authority verification on the data requester according to the identity information of the requester.
And after the identity information of the requester is obtained, performing authority verification on the data requester according to the identity information of the requester. Such as by authenticating the username, password of the requestor.
S208: when the authority of the data requester passes verification, performing data search on the data set by using an ElasticSearch search engine according to the attribute information of the target data based on the basic word bank, the industry word bank and the sensitive word bank to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system.
And when the authority of the data requester passes verification, performing data search on the data set by using an ElasticSearch search engine according to the attribute information of the target data based on the pre-created basic word bank, the pre-created industrial word bank and the pre-created sensitive word bank to obtain the target number.
S209: and carrying out data visualization display operation on the target data.
And after the target data are searched, performing data visualization showing operation on the target data. Thereby enhancing the visualization of the data.
Corresponding to the above method embodiments, the embodiments of the present invention further provide a data search apparatus, and the data search apparatus described below and the data search method described above may be referred to in correspondence with each other.
Referring to fig. 3, fig. 3 is a block diagram of a data search apparatus according to an embodiment of the present invention, where the apparatus may include:
a request receiving module 31, configured to receive a target data search request;
a request analysis module 32, configured to analyze the target data search request to obtain target data attribute information;
the data search module 33 is configured to perform data search on a pre-stored data set according to the target data attribute information by using a pre-deployed ElasticSearch engine to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system.
The device provided by the embodiment of the invention is applied to receive a target data search request; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system. The data search method has the advantages that the data search process is greatly simplified, the data search time is shortened, and the manpower is greatly saved.
In one embodiment of the invention, the apparatus comprises a data set integration module comprising:
the database subset obtaining submodule is used for carrying out Schema analysis and information reading operation on the database system to obtain a database subset; the information reading comprises table information reading, field information reading and main key information reading;
the network data subset obtaining submodule is used for extracting data of the network system by utilizing the network crawler engine to obtain a network data subset;
and the data set obtaining submodule is used for carrying out integrated fusion operation on the database data subset and the network data subset to obtain a data set.
In an embodiment of the present invention, the data set integration module may further include:
the word stock creating submodule is used for creating a basic word stock, an industry word stock and a sensitive word stock based on the data set after the data set is obtained;
the data search module 33 is specifically a module for performing data search on a data set according to the attribute information of the target data by using an elastic search engine based on a basic word stock, an industry word stock and a sensitive word stock.
In a specific embodiment of the present invention, the request parsing module 32 is a module that parses a target data search request to obtain target data attribute information and requester identity information;
the data search module 33 includes:
the authority verification submodule is used for performing authority verification on the data requester according to the identity information of the requester;
and the data searching submodule is used for searching data of the data set according to the target data attribute information by using an ElasticSearch search engine when the authority of the data requester is verified.
In one embodiment of the present invention, the apparatus may further include:
and the data display module is used for performing data visualization display operation on the target data after the target data is obtained.
Corresponding to the above method embodiment, referring to fig. 4, fig. 4 is a schematic diagram of a data search device provided by the present invention, where the device may include:
a memory 41 for storing a computer program;
the processor 42, when executing the computer program stored in the memory 41, may implement the following steps:
receiving a target data search request; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system.
For the introduction of the device provided by the present invention, please refer to the above method embodiment, which is not described herein again.
Corresponding to the above method embodiment, the present invention further provides a computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the steps of:
receiving a target data search request; analyzing the target data search request to obtain target data attribute information; performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by integrating extraction operations of data in each system according to a preset data extraction mode corresponding to each system.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided by the present invention, please refer to the above method embodiments, which are not described herein again.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device, the apparatus and the computer-readable storage medium disclosed in the embodiments correspond to the method disclosed in the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
The principle and the implementation of the present invention are explained in the present application by using specific examples, and the above description of the embodiments is only used to help understanding the technical solution and the core idea of the present invention. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A method of searching data, comprising:
receiving a target data search request;
analyzing the target data search request to obtain target data attribute information;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by performing extraction operation integration on data in each system according to a preset data extraction mode corresponding to each system.
2. The data search method of claim 1, wherein the integration process of the data set comprises:
performing Schema analysis and information reading operation on a database system to obtain a database data subset; the information reading comprises table information reading, field information reading and main key information reading;
performing data extraction on the network system by using a network crawler engine to obtain a network data subset;
and carrying out integrated fusion operation on the database data subset and the network data subset to obtain the data set.
3. The data searching method of claim 2, further comprising, after obtaining the data set:
creating a basic word stock, an industry word stock and a sensitive word stock based on the data set;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information, wherein the data search comprises the following steps:
and performing data search on the data set by using the ElasticSearch search engine according to the target data attribute information based on the basic word bank, the industry word bank and the sensitive word bank.
4. The data searching method according to any one of claims 1 to 3, wherein analyzing the target data search request to obtain target data attribute information includes:
analyzing the target data search request to obtain the target data attribute information and requester identity information;
performing data search on a pre-stored data set by using a pre-deployed ElasticSearch search engine according to the target data attribute information, wherein the data search comprises the following steps:
performing authority verification on the data requester according to the identity information of the requester;
and when the authority of the data requester is verified, performing data search on the data set by using the ElasticSearch search engine according to the target data attribute information.
5. The data searching method of claim 4, further comprising, after obtaining the target data:
and performing data visualization display operation on the target data.
6. A data search apparatus, comprising:
the request receiving module is used for receiving a target data searching request;
the request analysis module is used for analyzing the target data search request to obtain target data attribute information;
the data search module is used for searching data of a pre-stored data set by utilizing a pre-deployed ElasticSearch search engine according to the target data attribute information to obtain target data; the data set is obtained by performing extraction operation integration on data in each system according to a preset data extraction mode corresponding to each system.
7. The data search apparatus of claim 6, comprising a data set integration module, the data set integration module comprising:
the database subset obtaining submodule is used for carrying out Schema analysis and information reading operation on the database system to obtain a database subset; the information reading comprises table information reading, field information reading and main key information reading;
the network data subset obtaining submodule is used for extracting data of the network system by utilizing the network crawler engine to obtain a network data subset;
and the data set obtaining submodule is used for carrying out integrated fusion operation on the database data subset and the network data subset to obtain the data set.
8. The data search apparatus of claim 7, wherein the data set integration module further comprises:
the word stock creating submodule is used for creating a basic word stock, an industry word stock and a sensitive word stock based on the data set after the data set is obtained;
the data search module is specifically a module for performing data search on the data set according to the target data attribute information by using the elastic search engine based on the basic word bank, the industry word bank and the sensitive word bank.
9. A data search device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the data search method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the data search method according to any one of claims 1 to 5.
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