CN111488342A - Method and system for establishing data index - Google Patents
Method and system for establishing data index Download PDFInfo
- Publication number
- CN111488342A CN111488342A CN202010264092.XA CN202010264092A CN111488342A CN 111488342 A CN111488342 A CN 111488342A CN 202010264092 A CN202010264092 A CN 202010264092A CN 111488342 A CN111488342 A CN 111488342A
- Authority
- CN
- China
- Prior art keywords
- data
- index
- user
- data model
- target data
- 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
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000013499 data model Methods 0.000 claims abstract description 122
- 238000013507 mapping Methods 0.000 claims description 20
- 230000006870 function Effects 0.000 claims description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000005457 optimization Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a method and a system for establishing data indexes, wherein the method comprises the following steps: the method comprises the steps of obtaining target data, wherein the target data are data of a data index to be built, obtaining a user-defined data model, and building the index of the target data based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a method and a system for establishing a data index.
Background
In the field of information retrieval and recommendation systems, one of the most fundamental works is to build an index of data, and only after the index is built, a large amount of data can be efficiently queried. The base unit to be indexed is typically an object, each of which has a primary key to uniquely identify it. Indexes are generally divided into two types of forward indexes and reverse indexes, wherein the forward indexes are the mapping from a main key to an object, namely a specific object can be inquired according to the main key; an inverted index is a mapping of an index value to many objects, i.e., a set of objects can be queried according to the key value of the index. The work required to build the data index is to automatically create forward and reverse indexes according to an object definition provided by the user.
Although some existing schemes exist in the industry at present, the storage of index data is not efficient enough, and the support of a custom data model is not complete enough. Therefore, how to effectively establish the data index is a problem to be solved.
Disclosure of Invention
In view of this, the present invention provides a method for establishing a data index, which can automatically establish an index according to a user-defined data model, and can optimize storage in the process of establishing a data index.
The invention provides a method for establishing a data index, which comprises the following steps:
acquiring target data, wherein the target data is data of a data index to be established;
acquiring a user-defined data model;
and establishing an index of the target data based on the user-defined data model.
Preferably, the establishing the index of the target data based on the user-defined data model comprises:
establishing a forward index of the target data based on the user-defined data model;
and establishing an inverted index of the target data based on the user-defined data model.
Preferably, the establishing of the forward index of the target data based on the user-defined data model comprises:
serializing the target data based on the user-defined data model, and outputting data in a byte stream form;
storing the data in the form of the byte stream into an off-heap memory;
saving the address offset in the off-heap memory;
a mapping of a primary key to the address offset is established.
Preferably, the establishing the inverted index of the target data based on the user-defined data model comprises:
reading the value of a field needing to establish an inverted index based on the user-defined data model;
and establishing the mapping from the key value of one index to a plurality of primary keys based on the value of the field needing to establish the inverted index.
Preferably, the acquiring the user-defined data model includes:
and acquiring a user-defined data model in a function calling mode.
A system for indexing data, comprising:
the first acquisition module is used for acquiring target data, wherein the target data is data of a data index to be established;
the second acquisition module is used for acquiring a user-defined data model;
and the establishing module is used for establishing the index of the target data based on the user-defined data model.
Preferably, the establishing module comprises:
a forward index establishing unit for establishing a forward index of the target data based on the user-defined data model;
and the reverse index establishing unit is used for establishing a reverse index of the target data based on the user-defined data model.
Preferably, the positive index establishing unit is specifically configured to:
serializing the target data based on the user-defined data model, and outputting data in a byte stream form;
storing the data in the form of the byte stream into an off-heap memory;
saving the address offset in the off-heap memory;
a mapping of a primary key to the address offset is established.
Preferably, the reverse index establishing unit is specifically configured to:
reading the value of a field needing to establish an inverted index based on the user-defined data model;
and establishing the mapping from the key value of one index to a plurality of primary keys based on the value of the field needing to establish the inverted index.
Preferably, the second obtaining module is specifically configured to:
and acquiring a user-defined data model in a function calling mode.
In summary, the present invention discloses a method for establishing a data index, when a data index needs to be established, target data is first obtained, where the target data is data of the data index to be established, then a user-defined data model is obtained, and an index of the target data is established based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
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 flowchart of an embodiment 1 of a method for creating a data index according to the present disclosure;
FIG. 2 is a flowchart of an embodiment 2 of a method for creating a data index according to the present disclosure;
FIG. 3 is a flowchart of embodiment 3 of a method for creating a data index according to the present disclosure;
FIG. 4 is a schematic structural diagram of an embodiment 1 of a system for creating a data index according to the present invention;
FIG. 5 is a schematic structural diagram of an embodiment 2 of a system for creating a data index according to the present invention;
fig. 6 is a schematic structural diagram of a system for creating a data index according to an embodiment 3 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in fig. 1, which is a flowchart of embodiment 1 of a method for creating a data index disclosed in the present invention, the method may include the following steps:
s101, acquiring target data, wherein the target data are data to be subjected to data index establishment;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
S102, acquiring a user-defined data model;
and then, further acquiring a user-defined data model, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
S103, establishing an index of the target data based on a user-defined data model.
After the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the index is built according to the user-defined data model.
In summary, in the above embodiments, when a data index needs to be established, target data is first obtained, where the target data is data of the data index to be established, then a user-defined data model is obtained, and an index of the target data is established based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
As shown in fig. 2, which is a flowchart of embodiment 2 of a method for creating a data index disclosed in the present invention, the method may include the following steps:
s201, acquiring target data, wherein the target data is data of a data index to be established;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
S202, acquiring a user-defined data model;
and then, further acquiring a user-defined data model, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
S203, establishing a forward index of the target data based on the user-defined data model;
and S204, establishing an inverted index of the target data based on the user-defined data model.
After the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the forward index and the reverse index are established according to the user-defined data model.
In summary, in the above embodiments, when a data index needs to be established, target data is first obtained, where the target data is data of the data index to be established, then a user-defined data model is obtained, a forward index of the target data is established based on the user-defined data model, and a reverse index of the target data is established based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
As shown in fig. 3, which is a flowchart of embodiment 3 of a method for creating a data index disclosed in the present invention, the method may include the following steps:
s301, acquiring target data, wherein the target data is data of a data index to be established;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
S302, acquiring a user-defined data model in a function calling mode;
and then, further acquiring a user-defined data model in a function calling mode, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
S303, serializing the target data based on a user-defined data model, outputting data in a byte stream form, storing the data in the byte stream form into an off-heap memory, storing address offset in the off-heap memory, and establishing mapping from a main key to the address offset;
after the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the forward index and the reverse index are established according to the user-defined data model.
Specifically, when the forward index is established, the forward data needs to be stored in the out-of-heap memory, so the target data needs to be serialized, a byte stream form of data is output after serialization, and then the byte stream data is stored in the out-of-heap memory. Meanwhile, the address offset in the memory outside the heap is saved, and a mapping from the main key to the address offset is established.
S304, reading the value of the field needing to establish the inverted index based on the user-defined data model, and establishing the mapping from the key value of one index to a plurality of primary keys based on the value of the field needing to establish the inverted index.
Specifically, when the reverse index is established, whether a field needing to establish the reverse index exists in the object is detected through the custom data model, if so, the value of the field is read, and generally the value comprises a key value needing to be indexed and a score used for sorting in the reverse index. After traversing the values of the fields needing to be inverted, a mapping from the key values of the index to the primary key is established. When all the user-provided data has been processed, the mapping will be from one indexed key to multiple primary keys, with the different primary keys sorted according to the aforementioned scores.
After the forward index and the reverse index are created, the service system can perform data retrieval according to the two indexes.
In summary, the user of the invention can arbitrarily define the data model, customize the field to be indexed, and the system can automatically create the index according to the customized data model, and can perform storage optimization for the sorted index.
As shown in fig. 4, which is a schematic structural diagram of embodiment 1 of a system for establishing a data index disclosed in the present invention, the system may include:
a first obtaining module 401, configured to obtain target data, where the target data is data to be indexed;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
A second obtaining module 402, configured to obtain a user-defined data model;
and then, further acquiring a user-defined data model, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
And the establishing module 403 is configured to establish an index of the target data based on a user-defined data model.
After the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the index is built according to the user-defined data model.
In summary, in the above embodiments, when a data index needs to be established, target data is first obtained, where the target data is data of the data index to be established, then a user-defined data model is obtained, and an index of the target data is established based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
As shown in fig. 5, which is a schematic structural diagram of embodiment 2 of a system for creating a data index disclosed in the present invention, the system may include:
a first obtaining module 501, configured to obtain target data, where the target data is data to be indexed;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
A second obtaining module 502, configured to obtain a user-defined data model;
and then, further acquiring a user-defined data model, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
A forward index establishing unit 503, configured to establish a forward index of the target data based on the user-defined data model;
and the reverse index establishing unit 504 is used for establishing a reverse index of the target data based on the user-defined data model.
After the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the forward index and the reverse index are established according to the user-defined data model.
In summary, in the above embodiments, when a data index needs to be established, target data is first obtained, where the target data is data of the data index to be established, then a user-defined data model is obtained, a forward index of the target data is established based on the user-defined data model, and a reverse index of the target data is established based on the user-defined data model. The invention can automatically create the index according to the data model defined by the user, and can optimize the storage in the process of creating the data index.
As shown in fig. 6, which is a schematic structural diagram of embodiment 3 of a system for creating a data index disclosed in the present invention, the system may include:
a first obtaining module 601, configured to obtain target data, where the target data is data to be indexed;
when a data index needs to be established, target data is obtained first, namely the target data is pushed into the system through a specific interface, namely object data needing to be indexed is pushed into the system.
A second obtaining module 602, configured to obtain a user-defined data model in a function call manner;
and then, further acquiring a user-defined data model in a function calling mode, namely acquiring a data model definition file written by the user. Wherein, the definition file is written by using a convention grammar, and needs to include: the name of the object, which fields are in the object, the data type of the fields, which fields are primary keys, which fields need to be indexed backwards. And transmitting the custom data model to a system, firstly, the system analyzes the definition file of the custom data model, if the analysis fails, the system informs a user, and if the analysis succeeds, the custom data model is stored for subsequent data index establishment.
Establishing a forward index unit 603, configured to serialize the target data based on a user-defined data model, output data in a byte stream form, store the data in the byte stream form in an off-heap memory, store an address offset in the off-heap memory, and establish a mapping from a primary key to the address offset;
after the target data are obtained, the target data are analyzed according to the obtained user-defined data model, if the target data are invalid, the system reports errors, and if the target data are valid, the forward index and the reverse index are established according to the user-defined data model.
Specifically, when the forward index is established, the forward data needs to be stored in the out-of-heap memory, so the target data needs to be serialized, a byte stream form of data is output after serialization, and then the byte stream data is stored in the out-of-heap memory. Meanwhile, the address offset in the memory outside the heap is saved, and a mapping from the main key to the address offset is established.
The build inverted index unit 604 is configured to read a value of a field that needs to build an inverted index based on a user-defined data model, and build a mapping from a key value of one index to a plurality of primary keys based on the value of the field that needs to build the inverted index.
Specifically, when the reverse index is established, whether a field needing to establish the reverse index exists in the object is detected through the custom data model, if so, the value of the field is read, and generally the value comprises a key value needing to be indexed and a score used for sorting in the reverse index. After traversing the values of the fields needing to be inverted, a mapping from the key values of the index to the primary key is established. When all the user-provided data has been processed, the mapping will be from one indexed key to multiple primary keys, with the different primary keys sorted according to the aforementioned scores.
After the forward index and the reverse index are created, the service system can perform data retrieval according to the two indexes.
In summary, the user of the invention can arbitrarily define the data model, customize the field to be indexed, and the system can automatically create the index according to the customized data model, and can perform storage optimization for the sorted index.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of indexing data, comprising:
acquiring target data, wherein the target data is data of a data index to be established;
acquiring a user-defined data model;
and establishing an index of the target data based on the user-defined data model.
2. The method of claim 1, wherein indexing the target data based on the user-defined data model comprises:
establishing a forward index of the target data based on the user-defined data model;
and establishing an inverted index of the target data based on the user-defined data model.
3. The method of claim 2, wherein the building the forward index of the target data based on the user-defined data model comprises:
serializing the target data based on the user-defined data model, and outputting data in a byte stream form;
storing the data in the form of the byte stream into an off-heap memory;
saving the address offset in the off-heap memory;
a mapping of a primary key to the address offset is established.
4. The method of claim 3, wherein the building the inverted index of the target data based on the user-defined data model comprises:
reading the value of a field needing to establish an inverted index based on the user-defined data model;
and establishing the mapping from the key value of one index to a plurality of primary keys based on the value of the field needing to establish the inverted index.
5. The method of claim 1, wherein obtaining the user-defined data model comprises:
and acquiring a user-defined data model in a function calling mode.
6. A system for indexing data, comprising:
the first acquisition module is used for acquiring target data, wherein the target data is data of a data index to be established;
the second acquisition module is used for acquiring a user-defined data model;
and the establishing module is used for establishing the index of the target data based on the user-defined data model.
7. The system of claim 6, wherein the setup module comprises:
a forward index establishing unit for establishing a forward index of the target data based on the user-defined data model;
and the reverse index establishing unit is used for establishing a reverse index of the target data based on the user-defined data model.
8. The system of claim 7, wherein the set-up positive index unit is specifically configured to:
serializing the target data based on the user-defined data model, and outputting data in a byte stream form;
storing the data in the form of the byte stream into an off-heap memory;
saving the address offset in the off-heap memory;
a mapping of a primary key to the address offset is established.
9. The system of claim 8, wherein the build inverted index unit is specifically configured to:
reading the value of a field needing to establish an inverted index based on the user-defined data model;
and establishing the mapping from the key value of one index to a plurality of primary keys based on the value of the field needing to establish the inverted index.
10. The system of claim 6, wherein the second obtaining module is specifically configured to:
and acquiring a user-defined data model in a function calling mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010264092.XA CN111488342A (en) | 2020-04-07 | 2020-04-07 | Method and system for establishing data index |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010264092.XA CN111488342A (en) | 2020-04-07 | 2020-04-07 | Method and system for establishing data index |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111488342A true CN111488342A (en) | 2020-08-04 |
Family
ID=71812545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010264092.XA Pending CN111488342A (en) | 2020-04-07 | 2020-04-07 | Method and system for establishing data index |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111488342A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007132342A1 (en) * | 2006-05-17 | 2007-11-22 | Yoono | Documentary search procedure in a distributed information system |
| CN103823865A (en) * | 2014-02-25 | 2014-05-28 | 南京航空航天大学 | Database primary memory indexing method |
| CN104866608A (en) * | 2015-06-05 | 2015-08-26 | 中国人民大学 | Query optimization method based on join index in data warehouse |
| CN107273443A (en) * | 2017-05-26 | 2017-10-20 | 电子科技大学 | A kind of hybrid index method based on big data model metadata |
| US20190095534A1 (en) * | 2017-09-27 | 2019-03-28 | Salesforce.Com, Inc. | Composite keys for multi-tenant non-relational platform objects |
| CN110555025A (en) * | 2019-08-29 | 2019-12-10 | 中邮科通信技术股份有限公司 | method and system for realizing WEB form custom field |
| CN110737747A (en) * | 2019-09-12 | 2020-01-31 | 苏宁云计算有限公司 | data operation method, device and system |
-
2020
- 2020-04-07 CN CN202010264092.XA patent/CN111488342A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007132342A1 (en) * | 2006-05-17 | 2007-11-22 | Yoono | Documentary search procedure in a distributed information system |
| CN103823865A (en) * | 2014-02-25 | 2014-05-28 | 南京航空航天大学 | Database primary memory indexing method |
| CN104866608A (en) * | 2015-06-05 | 2015-08-26 | 中国人民大学 | Query optimization method based on join index in data warehouse |
| CN107273443A (en) * | 2017-05-26 | 2017-10-20 | 电子科技大学 | A kind of hybrid index method based on big data model metadata |
| US20190095534A1 (en) * | 2017-09-27 | 2019-03-28 | Salesforce.Com, Inc. | Composite keys for multi-tenant non-relational platform objects |
| CN110555025A (en) * | 2019-08-29 | 2019-12-10 | 中邮科通信技术股份有限公司 | method and system for realizing WEB form custom field |
| CN110737747A (en) * | 2019-09-12 | 2020-01-31 | 苏宁云计算有限公司 | data operation method, device and system |
Non-Patent Citations (1)
| Title |
|---|
| 陈勇等著: "《龙芯嵌入式系统开发及应用实战》", 31 December 2016, 东南大学出版社, pages: 297 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107807982B (en) | Consistency checking method and device for heterogeneous database | |
| CN110704398B (en) | Database migration method and device from MySQL to Oracle and computer equipment | |
| CN110633292A (en) | Query method, device, medium, equipment and system for heterogeneous database | |
| EP3767483A1 (en) | Method, device, system, and server for image retrieval, and storage medium | |
| CN109344193B (en) | Method and system for converting structured data into unstructured data | |
| CN112861501A (en) | Report generation method and device, electronic equipment and computer readable storage medium | |
| CN114090671A (en) | Data import method and device, electronic equipment and storage medium | |
| CN112671948A (en) | Method and device for determining IP address belonging area, electronic equipment and storage medium | |
| CN108073707B (en) | Financial business data updating method and device and computer readable storage medium | |
| CN113760839A (en) | Log data compression processing method and device, electronic equipment and storage medium | |
| CN111475402A (en) | Program function testing method and related device | |
| CN108776665B (en) | Data processing method and device | |
| CN112711649A (en) | Database multi-field matching method, device, equipment and storage medium | |
| CN111611242A (en) | Method for importing Excel data into database | |
| CN111488342A (en) | Method and system for establishing data index | |
| CN114461193B (en) | Method, device, equipment and storage medium for generating communication protocol code | |
| CN107315806B (en) | Embedded storage method and device based on file system | |
| CN111177589A (en) | Address information query method, device, equipment and storage medium | |
| US8108828B2 (en) | System for generating optimized computer data field conversion routines | |
| CN109033271B (en) | Data insertion method and device based on column storage, server and storage medium | |
| CN112162951A (en) | Information retrieval method, server and storage medium | |
| CN108363819B (en) | Query engine matching method, device, server group and readable storage medium | |
| CN112711627B (en) | Data importing method, device and equipment of Greemplum database | |
| CN112230983B (en) | Information processing method, electronic device, and medium | |
| CN115658730B (en) | Sparse data query method, apparatus, device and computer readable storage medium |
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 |