CN108182226A - The method and relevant device of a kind of data query - Google Patents
The method and relevant device of a kind of data query Download PDFInfo
- Publication number
- CN108182226A CN108182226A CN201711439710.4A CN201711439710A CN108182226A CN 108182226 A CN108182226 A CN 108182226A CN 201711439710 A CN201711439710 A CN 201711439710A CN 108182226 A CN108182226 A CN 108182226A
- Authority
- CN
- China
- Prior art keywords
- query result
- query
- result
- inquiry
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06F16/2453—Query optimisation
-
- 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
- G06F16/242—Query formulation
- G06F16/2433—Query languages
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the present application discloses a kind of method of data query, for inquiring to obtain target query using target data as a result, the accuracy of raising data query, is more accurately inquired data.The embodiment of the present application method includes：A kind of method of data query, which is characterized in that including：Data in database are imported in solr；Inquiry target data is carried out in the database using the query statement in structured query language SQL, to obtain the first query result；The target data is inquired using the inquiry mode in the solr, to obtain the second query result；Target query result is obtained according to first query result and second query result.
Description
Technical field
This application involves computer realm, the method and relevant device of more particularly to a kind of data query.
Background technology
Solr is a high-performance, the full-text search server based on Lucene.It is extended simultaneously, is provided
Than the query language of Lucene more horn of plenties, while realize configurable, expansible and query performance is optimized, and
A perfect function management interface is provided, is a very outstanding full-text search engine.
In existing scheme, solr can be used to inquire data, further, it is also possible to use structured query language
(Structured Query Language, SQL) carries out data query, and the query result of two inquiry modes is in difference
In the case of have different as a result, therefore, the data that will cause inquiry are inaccurate.
Invention content
The embodiment of the present application provides a kind of method of data query, for inquiring to obtain target query using target data
As a result, improving the accuracy of data query, data are more accurately inquired.
In view of this, the application first aspect provides a kind of method of data query, can include：
Data in database are imported in solr；
Inquiry target data is carried out in the database using the query statement in structured query language SQL, to obtain
First query result；
The target data is inquired using the inquiry mode in the solr, to obtain the second query result；
Target query result is obtained according to first query result and second query result.
Optionally, which includes first query result, second query result or the first inquiry knot
Fruit and the combination data of second query result.
Optionally, the comparison first query result and second query result, to obtain target query as a result, can wrap
It includes：
Acquire the first inquiry duration of first query result；
Acquire the second inquiry duration of second query result；
The first inquiry duration and the second inquiry duration are compared, to obtain comparing result；
If the first inquiry duration is more than the second inquiry duration, using second query result as the target query knot
Fruit；
If the first inquiry duration is no more than the second inquiry duration, using first query result as the target query
As a result.
Optionally, the comparison first query result and second query result, to obtain target query as a result, can wrap
It includes：
Obtain the accuracy of first query result；
Obtain the accuracy of second query result；
Accuracy in first query result and second query result is higher as the target query result.
The application second aspect provides a kind of data query arrangement, can include：
Import modul, for the data in database to be imported in solr；
First enquiry module, for being looked into the database using the query statement in structured query language SQL
Target data is ask, to obtain the first query result；
Second enquiry module, for inquiring the target data using the inquiry mode in the solr, to obtain the second inquiry
As a result；
Determining module, for determining target query result according to first query result and second query result.
Optionally, which includes first query result, second query result or the first inquiry knot
Fruit and the combination data of second query result.
Optionally, the determining module can also include：
First acquisition submodule, for acquiring the first of first query result the inquiry duration；
Second acquisition submodule, for acquiring the second of second query result the inquiry duration；
Submodule is compared, for comparing the first inquiry duration and the second inquiry duration, to obtain comparing result；
If being more than the second inquiry duration for the first inquiry duration, this second is inquired for first determination sub-module
As a result it is used as the target query result；
Second determination sub-module, if first looking into this no more than the second inquiry duration for the first inquiry duration
Result is ask as the target query result.
Optionally, the determining module can also include：
Third acquisition submodule, for obtaining the accuracy of first query result；
4th acquisition submodule, for obtaining the accuracy of second query result；
Third determination sub-module, for using accuracy in first query result and second query result it is higher as
The target query result.
The application third aspect provides a kind of data query arrangement, can include：
Processor, memory, bus and input/output interface, the processor, the memory and the input/output interface
It is connected by the bus；
The memory, for storing program code；
The processor performs the step of method of the application first aspect offer when calling the program code in the memory.
The embodiment of the present application fourth aspect provides a kind of storage medium, it should be noted that the technical solution sheet of the application
The part to contribute in other words to the prior art in matter or all or part of the technical solution can produce mouth with software
Form embodies, which is stored in a storage medium, by saving as based on used in above equipment
Calculation machine software instruction, it includes be the program designed by data query arrangement for performing above-mentioned first aspect.
The storage medium includes：USB flash disk, mobile hard disk, read-only memory (english abbreviation ROM, English full name：Read-Only
Memory), random access memory (english abbreviation：RAM, English full name：Random Access Memory), magnetic disc or light
The various media that can store program code such as disk.
The 5th aspect of the embodiment of the present application provides a kind of computer program product, which includes calculating
Machine software instruction, the computer software instructions can be loaded to realize any one in above-mentioned first aspect by processor
Flow in the method for data query.
As can be seen from the above technical solutions, the embodiment of the present application has the following advantages：
In the embodiment of the present application, the data in database are imported in solr；Using the query statement in SQL in the number
According to inquiry target data is carried out in library, to obtain the first query result, and the mesh is inquired using the inquiry mode in the solr
Data are marked, to obtain the second query result；Target query result is obtained according to first query result and second query result.
Therefore, can according to solr inquire and SQL query obtain target query result, so as to get target query result it is more accurate.
Description of the drawings
Fig. 1 is a kind of embodiment schematic diagram of the method for data query in the embodiment of the present application；
Fig. 2 is another embodiment schematic diagram of the method for data query in the embodiment of the present application；
Fig. 3 is another embodiment schematic diagram of the method for data query in the embodiment of the present application；
Fig. 4 is a kind of embodiment schematic diagram of data query arrangement in the embodiment of the present application；
Fig. 5 is another embodiment schematic diagram of data query arrangement in the embodiment of the present application.
Specific embodiment
The embodiment of the present application provides a kind of method of data query, for inquiring to obtain target query using target data
As a result, improving the accuracy of data query, data are more accurately inquired.
In view of this, the method for data query provided by the embodiments of the present application is referring to Fig. 1, data in the embodiment of the present application
A kind of embodiment schematic diagram of the method for inquiry, can include：
101st, the data in database are imported in solr；
Solr is a kind of high performance server, is first imported the data in database in solr, so as to can use
Data in the database.
102nd, inquiry target data is carried out in the database using the query statement in SQL, to obtain the first query result；
Target data is inquired in the database using the query statement in SQL, and obtains the first query result, the inquiry language
Sentence can include like sentences, Select sentences etc., and this is not limited here.First query result is according to SQL statement
Inquire in the database with the relevant query result of target data.
103rd, target data is inquired using the inquiry mode in solr, to obtain the second query result；
The fuzzy query inquiry target data in solr can be used, to obtain the second query result, the second inquiry knot
Fruit is inquires and the relevant query result of target data in solr.The inquiry mode of fuzzy query in solr can be,
Target data is subjected to word segmentation processing, multiple keywords can be divided into, each keyword is then inquired in data, then basis
Each participle obtains the second query result, can provide the efficiency of data query.
104th, target query result is obtained according to the first query result and the second query result.
After obtaining the first query result and the second query result, it can be obtained according to the first query result and the second query result
To target query as a result, the target query result can be first query result or second query result, may be used also
To be the combination of first query result and the second query result, can specifically be adjusted according to actual design demand.
In the embodiment of the present application, SQL and solr can be used to inquire target data simultaneously, and respectively obtain the first inquiry
It as a result, can be with then according to the target query of the first query result and the second query result as a result, therefore with the second query result
More accurately target query is obtained as a result, improving the accuracy of data query.
Further, determine that target query result there can be different modes, referring to Fig. 2, in the embodiment of the present application
Another embodiment schematic diagram of data query method, can include：
201st, the data in database are imported in solr；
202nd, inquiry target data is carried out in the database using the query statement in SQL, to obtain the first query result；
203rd, target data is inquired using the inquiry mode in solr, to obtain the second query result；
Step 201- steps 203 in the embodiment of the present application are similar with the step 101- steps 103 in earlier figures 1, specifically
Details are not described herein again.
204th, the first inquiry duration of first query result is acquired；
After the first query result is obtained, the first inquiry duration of the first query result is acquired, for example, this first is looked into
Asking duration can be, since being inquired target data by SQL query statement, to obtaining the duration of the first query result.
205th, the second inquiry duration of second query result is acquired；
After the second query result is obtained, the second inquiry duration of the second query result is acquired, for example, this second is looked into
Asking duration can be, since being searched for target data by the fuzzy query of solr, to obtaining the duration of the second query result.
206th, the first inquiry duration of comparison and the second inquiry duration, to obtain comparing result；
The first inquiry duration of comparison and the second inquiry duration, to obtain comparing result, can be known by the comparing result
The duration of first inquiry duration and the second inquiry duration compares, for example, the difference of the first inquiry duration and the second inquiry duration.
The 207th, if the first inquiry duration is more than the second inquiry duration, using the second query result as target query result；
If can know to obtain the first inquiry duration more than the second inquiry duration according to comparing result, the second inquiry is tied
Fruit is as target query result.
If the 208, it is described first inquiry duration no more than described second inquiry duration, using first query result as
The target query result.
If it can know to obtain the first inquiry duration no more than the second inquiry duration according to comparing result, by the first inquiry
As a result it is used as target query result.
In addition, if the first inquiry duration is identical with the second inquiry duration, can be looked into using the first query result as target
It askes as a result, can also be using the second query result as target query as a result, this is not limited here.
It should be noted that the efficiency to further improve data query, the query result that will can first complete inquiry
If as target query as a result, for example, obtained the first query result by SQL, and solr does not complete the second inquiry also at this time
As a result, then using the first query result as target query as a result, conversely, if solr completes the second query result, and at this time also not
First query result is obtained by SQL, then using the second query result as target query result.
In the embodiment of the present application, SQL query mode can be used to inquire target data simultaneously with solr inquiry modes, and
The first query result and the second query result are respectively obtained, is then looked into according to the target of the first query result and the second query result
It askes as a result, including the inquiry shortest query result of duration will be completed as target query as a result, it is thus possible to improve inquiry target
The efficiency of data.
It is aforementioned to be described in detail to being inquired by way of duration obtains target query result comparison in the application, under
In face of the application, another determines that the mode of target query result illustrates, referring to Fig. 3, data in the embodiment of the present application
Another embodiment schematic diagram of querying method, can include：
301st, the data in database are imported in solr；
302nd, inquiry target data is carried out in the database using the query statement in SQL, to obtain the first query result；
303rd, target data is inquired using the inquiry mode in solr, to obtain the second query result；
Step 301- steps 303 in the embodiment of the present application are similar with the step 101- steps 103 in earlier figures 1, specifically
Details are not described herein again.
304th, the accuracy of first query result is obtained；
After the first query result is got, determine the accuracy of the first query result, specifically include, the first query result
With the matching degree of target data, for example, the first query result and target data whether exactly match or, the first query result
Keyword ratio including target data etc..
305th, the accuracy of second query result is obtained；
After the second query result is got, determine the accuracy of the second query result, specifically include, the second query result
With the matching degree of target data, for example, the second query result and target data whether exactly match or, the second query result
Keyword ratio including target data etc..
306th, it is looked into first query result and accuracy in second query result are higher as the target
Ask result.
The accuracy of the first query result and the accuracy of the second query result are compared, the first query result and second are looked into
Ask result in accuracy it is higher as target query as a result, for example, including target query result in the first query result
Keyword ratio is 40%, and the keyword ratio that the second query result includes target query result is 60%, then by second
Query result is as target query result.
In the embodiment of the present application, SQL query mode can be used to inquire target data simultaneously with solr inquiry modes, and
The first query result and the second query result are respectively obtained, then compares accuracy and the second query result of the first query result
Accuracy, using the higher query result of accuracy as objective result, it is thus possible to improve inquiry target data is accurate
Degree.
The aforementioned data query method in the embodiment of the present application is described in detail, below in the embodiment of the present application
Data query arrangement be specifically described, referring to Fig. 4, one embodiment of the data query arrangement in the embodiment of the present application
Schematic diagram can include：
Import modul 401, for the data in database to be imported in solr；
First enquiry module 402, for being carried out in the database using the query statement in structured query language SQL
Target data is inquired, to obtain the first query result；
Second enquiry module 403 for inquiring the target data using the inquiry mode in the solr, is looked into obtaining second
Ask result；
Determining module 404, for determining target query result according to first query result and second query result.
Optionally, in some possible embodiments, which includes that first query result, this second looks into
Ask result or the combination data of first query result and second query result.
Optionally, in some possible embodiments, which further includes：
First acquisition submodule 4041, for acquiring the first of first query result the inquiry duration；
Second acquisition submodule 4042, for acquiring the second of second query result the inquiry duration；
Submodule 4043 is compared, for comparing the first inquiry duration and the second inquiry duration, to obtain comparing result；
First determination sub-module 4044, if for this first inquiry duration be more than this second inquiry duration, by this second
Query result is as the target query result；
Second determination sub-module 4045, if for the first inquiry duration no more than the second inquiry duration, by this
One query result is as the target query result.
Optionally, in some possible embodiments, which further includes：
Third acquisition submodule 4046, for obtaining the accuracy of first query result；
4th acquisition submodule 4047, for obtaining the accuracy of second query result；
Third determination sub-module 4048, for first query result and accuracy in second query result is higher
As the target query result.
Referring to Fig. 5, in the embodiment of the present application data query arrangement another embodiment schematic diagram, including：
Central processing unit (central processing units, CPU) 501, storage medium 502, power supply 503, storage
Device 504, input/output interface 505, it should be appreciated that the CPU in the embodiment of the present application can be one or multiple, input
Output interface can be one or multiple, and this is not limited here, in addition, the terminal device can also include penetrating
Frequency module, bluetooth module or display screen etc., are not shown in figure.Power supply 503 can provide working power, memory for terminal device
504 and storage medium 503 can be of short duration storage or persistent storage, instruction is stored in storage medium, when CPU can be according to this
Instruction in memory performs following steps：Data in database are imported in solr；Using in structured query language SQL
Query statement inquiry target data is carried out in the database, to obtain the first query result；Use the inquiry in the solr
Mode inquires the target data, to obtain the second query result；It is obtained according to first query result and second query result
Target query result.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit can refer to the corresponding process in preceding method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function can have other dividing mode, such as multiple units or component in actual implementation
It may be combined or can be integrated into another system or some features can be ignored or does not perform.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is independent product sale or uses
When, it can be stored in a computer read/write memory medium.Based on such understanding, the technical solution of the application is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
It embodies, which is stored in a storage medium, is used including some instructions so that a computer
Equipment (can be personal computer, server or the network equipment etc.) performs the complete of each embodiment the method for the application
Portion or part steps.And aforementioned storage medium includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, above example are only to illustrate the technical solution of the application, rather than its limitations；Although with reference to before
Embodiment is stated the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or carry out equivalent replacement to which part technical characteristic；And these
Modification is replaced, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (10)
- A kind of 1. method of data query, which is characterized in that including：Data in database are imported in solr；Inquiry target data is carried out in the database using the query statement in structured query language SQL, to obtain One query result；The target data is inquired using the inquiry mode in the solr, to obtain the second query result；Target query result is obtained according to first query result and second query result.
- 2. according to the method described in claim 1, it is characterized in that, the target query result includes the described first inquiry knot Fruit, second query result or the combination data of first query result and second query result.
- 3. according to the method described in claim 1, it is characterized in that, comparison first query result is looked into described second Ask as a result, to obtain target query as a result, including：Acquire the first inquiry duration of first query result；Acquire the second inquiry duration of second query result；The first inquiry duration and the described second inquiry duration are compared, to obtain comparing result；If the first inquiry duration is more than the described second inquiry duration, second query result is looked into as the target Ask result；If the first inquiry duration is no more than the described second inquiry duration, using first query result as the target Query result.
- 4. according to the method described in claim 1, it is characterized in that, comparison first query result is looked into described second Ask as a result, to obtain target query as a result, including：Obtain the accuracy of first query result；Obtain the accuracy of second query result；Accuracy in first query result and second query result is higher as the target query result.
- 5. a kind of data query arrangement, which is characterized in that including：Import modul, for the data in database to be imported in solr；First enquiry module, for being inquired in the database using the query statement in structured query language SQL Target data, to obtain the first query result；Second enquiry module, for the inquiry mode in the solr to be used to inquire the target data, to obtain the second inquiry As a result；Determining module, for determining target query result according to first query result and second query result.
- 6. data query arrangement according to claim 5, which is characterized in that the target query result includes described first Query result, second query result or the combination data of first query result and second query result.
- 7. data query arrangement according to claim 5, which is characterized in that the determining module further includes：First acquisition submodule, for acquiring the first of first query result the inquiry duration；Second acquisition submodule, for acquiring the second of second query result the inquiry duration；Submodule is compared, for comparing the first inquiry duration and the described second inquiry duration, to obtain comparing result；If being more than the described second inquiry duration for the described first inquiry duration, described second is looked into for first determination sub-module Result is ask as the target query result；Second determination sub-module, if for the described first inquiry duration no more than the described second inquiry duration, by described first Query result is as the target query result.
- 8. data query arrangement according to claim 5, which is characterized in that the determining module further includes：Third acquisition submodule, for obtaining the accuracy of first query result；4th acquisition submodule, for obtaining the accuracy of second query result；Third determination sub-module, for using accuracy in first query result and second query result it is higher as The target query result.
- 9. a kind of data query arrangement, which is characterized in that including：Processor, memory, bus and input/output interface；Have program stored therein code in the memory；Perform claim requires any one of 1 to 4 the method when the processor calls the program code in the memory Step.
- 10. a kind of computer readable storage medium, including instruction, when described instruction is run on computers so that computer Perform the method as described in any one in Claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711439710.4A CN108182226A (en) | 2017-12-26 | 2017-12-26 | The method and relevant device of a kind of data query |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711439710.4A CN108182226A (en) | 2017-12-26 | 2017-12-26 | The method and relevant device of a kind of data query |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108182226A true CN108182226A (en) | 2018-06-19 |
Family
ID=62547424
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711439710.4A Pending CN108182226A (en) | 2017-12-26 | 2017-12-26 | The method and relevant device of a kind of data query |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108182226A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104750690A (en) * | 2013-12-25 | 2015-07-01 | 中国移动通信集团公司 | Query processing method, device and system |
| CN105786946A (en) * | 2015-12-24 | 2016-07-20 | 国云科技股份有限公司 | Virtualized data integration and query system and implementation method thereof |
| CN106682147A (en) * | 2016-12-22 | 2017-05-17 | 北京锐安科技有限公司 | Mass data based query method and device |
| CN106844716A (en) * | 2017-02-08 | 2017-06-13 | 上海熙菱信息技术有限公司 | A kind of mass data automated storing method based on Solr indexes and Oracle storages |
| US20170263038A1 (en) * | 2016-02-15 | 2017-09-14 | Map Good News LLC | Real-time event data that visually changes the view based upon the data loaded on a spatial map. |
| CN107480268A (en) * | 2017-08-17 | 2017-12-15 | 北京奇虎科技有限公司 | Data query method and device |
-
2017
- 2017-12-26 CN CN201711439710.4A patent/CN108182226A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104750690A (en) * | 2013-12-25 | 2015-07-01 | 中国移动通信集团公司 | Query processing method, device and system |
| CN105786946A (en) * | 2015-12-24 | 2016-07-20 | 国云科技股份有限公司 | Virtualized data integration and query system and implementation method thereof |
| US20170263038A1 (en) * | 2016-02-15 | 2017-09-14 | Map Good News LLC | Real-time event data that visually changes the view based upon the data loaded on a spatial map. |
| CN106682147A (en) * | 2016-12-22 | 2017-05-17 | 北京锐安科技有限公司 | Mass data based query method and device |
| CN106844716A (en) * | 2017-02-08 | 2017-06-13 | 上海熙菱信息技术有限公司 | A kind of mass data automated storing method based on Solr indexes and Oracle storages |
| CN107480268A (en) * | 2017-08-17 | 2017-12-15 | 北京奇虎科技有限公司 | Data query method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9454580B2 (en) | Recommendation system with metric transformation | |
| JP5575902B2 (en) | Information retrieval based on query semantic patterns | |
| CN109299383B (en) | Method and device for generating recommended word, electronic equipment and storage medium | |
| CN103377232A (en) | Headline keyword recommendation method and system | |
| CN102541631B (en) | Execution plans with different driver sources in multiple threads | |
| CN107480260B (en) | Big data real-time analysis method and device, computing equipment and computer storage medium | |
| CN111597206A (en) | Chip type selection method and device, electronic equipment and computer readable storage medium | |
| CN111104426B (en) | Data query method and system | |
| CN109753504A (en) | Data query method and device | |
| US8750629B2 (en) | Method for searching and ranking images clustered based upon similar content | |
| US10565188B2 (en) | System and method for performing a pattern matching search | |
| CN109656947B (en) | Data query method and device, computer equipment and storage medium | |
| CN108108379B (en) | Keyword word expansion method and device | |
| CN113918605A (en) | Data query method, device, equipment and computer storage medium | |
| CN111858581B (en) | Paging query method and device, storage medium and electronic equipment | |
| CN110825953B (en) | Data query method, device and equipment | |
| CN105069175A (en) | Information retrieval method and server based on version control system | |
| CN110287284B (en) | Semantic matching method, device and equipment | |
| US9798449B2 (en) | Fuzzy search and highlighting of existing data visualization | |
| CN108182226A (en) | The method and relevant device of a kind of data query | |
| WO2012091539A1 (en) | A semantic similarity matching system and a method thereof | |
| US10902036B2 (en) | Intersection algorithm-based search method and system, and storage medium | |
| US20140344114A1 (en) | Methods and systems for segmenting queries | |
| CN111159213A (en) | Data query method, device, system and storage medium | |
| CN111309704B (en) | Database operation method and database operation system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180619 |
|
| WD01 | Invention patent application deemed withdrawn after publication |