CN115118778B - Data processing method, device, equipment and medium - Google Patents
Data processing method, device, equipment and medium Download PDFInfo
- Publication number
- CN115118778B CN115118778B CN202210741568.3A CN202210741568A CN115118778B CN 115118778 B CN115118778 B CN 115118778B CN 202210741568 A CN202210741568 A CN 202210741568A CN 115118778 B CN115118778 B CN 115118778B
- Authority
- CN
- China
- Prior art keywords
- data
- target
- target field
- original data
- format
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000006243 chemical reaction Methods 0.000 claims abstract description 11
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 3
- 230000005012 migration Effects 0.000 abstract description 17
- 238000013508 migration Methods 0.000 abstract description 17
- 230000004044 response Effects 0.000 abstract description 17
- 230000008569 process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000004807 localization Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000006870 function Effects 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
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The application discloses a data processing method, a device, equipment and a medium, wherein the method comprises the following steps: in response to a trigger operation to acquire the original data, acquiring the original data file, and then acquiring a target field in the original data file from the original data file and storing the target field in a dictionary, wherein the dictionary is predefined according to a format of the target field. In response to a triggering operation of data conversion, the dictionary storing the target fields is converted into data in a target format. According to the data processing method provided by the embodiment of the application, the operation of data processing can be automatically executed in response to the triggering operation command without manually transferring data, so that the efficiency and accuracy of data migration can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, apparatus, device, and medium.
Background
Windows Server is a Windows Server operating system which is pushed by Microsoft, has various forms, can provide services for large, medium and small enterprises, deploys DHCP service on the Windows Server system, and can lease IP addresses to the DHCP client. The dynamic host configuration protocol DHCP is a network protocol of a local area network, a server controls a section of IP address range, and when a client logs in the server, the IP address and a subnet mask allocated by the server can be automatically obtained.
Most of domestic enterprises use Windows Server-DHCP service, but with the frequent safety problem of Windows systems and the trend of "autonomous and controllable" of domestic software, the original Windows Server-DHCP service needs to be replaced as soon as possible to form domestic DHCP software service. Because of the requirement of the localization of IT equipment, the original DHCP server of the Microsoft architecture needs to be replaced by domestic equipment, and the workload of equipment replacement is mainly in the migration of the existing DHCP data. At present, original equipment needs to be manually logged in, all data of DHCP are queried one by one and recorded, then the original data are imported into new equipment, the whole data migration process results in high labor cost, low efficiency and high error rate.
Disclosure of Invention
In view of this, the embodiments of the present application provide a data processing method, apparatus, device, and medium, so as to improve efficiency and accuracy of data migration.
In a first aspect, an embodiment of the present application provides a data processing method, where the method includes:
responding to a triggering operation for acquiring the original data, and acquiring an original data file;
Acquiring a target field in the original data file;
storing the target field in a dictionary, the dictionary being predefined according to a format of the target field;
and responding to the triggering operation of data conversion, and converting the dictionary stored with the target field into data in a target format.
In one possible implementation manner, the obtaining the target field in the original data file includes:
Reading text information in the original data file;
And acquiring the target field from the text information based on the keyword information of the target field.
In one possible implementation, the target field includes: at least one of address pool, reserved address, excluded address, and gateway.
In one possible implementation, the method further includes:
And calling the data in the target format based on the interface of the target software.
In one possible implementation manner, the triggering operation for acquiring the original data includes: the raw data export command is executed based on a command window having administrator privileges.
In one possible implementation, the data in the target format includes: data in JSON format.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
the first acquisition module is used for responding to the triggering operation of acquiring the original data and acquiring the original data file;
The second acquisition module is used for acquiring a target field in the original data file;
The storage module is used for storing the target field in a dictionary which is predefined according to the format of the target field;
And the processing module is used for responding to the triggering operation of data conversion and converting the dictionary stored with the target field into the data in the target format.
In a third aspect, an embodiment of the present application provides a data processing apparatus, the apparatus including: a memory and a processor;
the memory is used for storing related program codes;
the processor is configured to invoke the program code to execute the data processing method according to any implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where the computer readable storage medium is configured to store a computer program, where the computer program is configured to perform a data processing method according to any one of the implementation manners of the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer program product, which contains a program that, when run on a processor, causes a computer or a network device to perform the data processing method according to any one of the implementation manners of the first aspect.
From this, the embodiment of the application has the following beneficial effects:
In the above implementation manner of the embodiment of the present application, in response to a trigger operation for acquiring original data, an original data file is acquired, and then a target field in the original data file is acquired from the original data file and stored in a dictionary, where the dictionary is predefined according to a format of the target field. In response to a triggering operation of data conversion, the dictionary storing the target fields is converted into data in a target format. According to the data processing method provided by the embodiment of the application, the operation of data processing can be automatically executed in response to the triggering operation command without manually transferring data, so that the efficiency and accuracy of data migration can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments provided in the present application, and other drawings may be obtained according to these drawings for those of ordinary skill in the art.
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a flowchart of another data processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic diagram of a data processing device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, where the described embodiments are merely exemplary implementations, but not all implementations of the application. Those skilled in the art can combine embodiments of the application to obtain other embodiments without inventive faculty, and such embodiments are also within the scope of the application.
Most of domestic enterprises use Windows Server-DHCP service, but with the frequent safety problem of Windows systems and the trend of "autonomous and controllable" of domestic software, the original Windows Server-DHCP service needs to be replaced as soon as possible to form domestic DHCP software service. Because of the requirement of the localization of IT equipment, the original DHCP server of the Microsoft architecture needs to be replaced by domestic equipment, and the workload of equipment replacement is mainly in the migration of the existing DHCP data. At present, the original equipment needs to be manually logged in, all data of the DHCP are queried one by one and recorded, then new equipment is logged in, and the original data is configured in the new equipment in a script writing mode and the like to finish data migration. The whole data migration process has high labor cost, low efficiency and high error rate.
Based on the above, the embodiment of the application provides a data processing method so as to improve the efficiency and accuracy of data migration. In particular, in response to a trigger operation for acquiring the original data, an original data file is acquired, and then a target field in the original data file is acquired from the original data file and stored in a dictionary, wherein the dictionary is predefined according to the format of the target field. In response to a triggering operation of data conversion, the dictionary storing the target fields is converted into data in a target format. According to the data processing method provided by the embodiment of the application, the operation of data processing can be automatically executed in response to the triggering operation command without manually transferring data, so that the efficiency and accuracy of data migration can be improved.
The following describes a data processing method provided by an embodiment of the present application with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart of a data processing method according to an embodiment of the present application.
The method mainly comprises the following steps:
S101: and responding to the triggering operation for acquiring the original data, and acquiring the original data file.
At present, when the DHCP data transfer is carried out, the original equipment is required to be manually logged in, the original data is queried and recorded one by one, then new equipment is logged in, the DHCP data is input one by one, and the file containing the original data cannot be automatically acquired. In the embodiment of the application, the original data file can be automatically acquired in response to the triggering operation of acquiring the original data, and the recorded data is not required to be manually inquired.
In one possible implementation, the original data export command may be input in a command window with administrator rights, and after the command is executed, the original data may be exported, and the original data file may be obtained.
For example, the following commands may be executed in the CMD window having the management authority:
NETSH DHCP SERVER.168.100.240 dump > c \windows.txt [ filename ]; wherein, "DHCP SERVER" represents the window_dhcp server address (e.g., the address of the legacy window-dhcp system is 192.168.100.240); ">: and c, redirecting the original data content into the file under the specified path, and automatically generating the file if the file name is not available, so as to acquire the original data file.
S102: the target field in the original data file is obtained.
Because the original data of the DHCP contains a large amount of element information, such as network segments, address pools, reserved addresses, excluded addresses and other option information option, after the original data file is obtained, the original data can be classified and sorted by extracting the target field in the original data file, wherein the target field comprises the address pools, reserved addresses, excluded addresses, gateways and the like, so that the subsequent data migration is convenient.
Wherein, the address pool represents: starting with an IP address, ending with an IP address, addresses within the address pool may be assigned to DHCP clients (computers) for use; reserved address means: binding the MAC address and the IP address of the computer, so that the appointed computer can only obtain a fixed IP address; the exclusion address indicates: designating the designated IP address as an excluded state, the IP address not being assigned to other computers by DHCP protocol; the option is as follows: DHCP option is special information configured for devices of different vendors under applications of different environments, such as gateways, leases, domain name servers, etc.
In particular, when the target field is acquired, one possible implementation manner is to read text information in the original data file, and then acquire the target field from the text information based on keyword information of the target field. That is, the target field is identified with keyword information, and the corresponding target field can be extracted from the text information based on the keyword information. For example, text information of each line of the original data file can be circularly read by the "open" method in python and by means of for i in files. In the Windows Server-DHCP raw data, if the keyword information is read in the text information, a target field corresponding to the keyword information can be obtained.
When the target field is obtained based on the keyword information, one possible implementation manner is that when the text information "add scope" is read, the keyword information of the network segment may be represented, and the keyword information of the address pool may be: 'Scope' and 'iprange' (start end address), the key information of the reserved address may be: 'Scope' and 'reservedip' (address where MAC address binds to IP), the key information excluding the address may be: 'Scope' and 'excluderange' (unassigned address), further comprising option information option: the key information of the domain name server may be, for example: 'optionvalue 6' (DNS server address), the key information of the gateway may be 'optionvalue' (client gateway address), etc.
It should be noted that, the method for obtaining the target field in the original data file provided in the above embodiment is only an exemplary implementation, and is not limited to the above implementation, and other possible implementations are also within the scope of the present application.
S103: storing the target field in a dictionary; wherein the dictionary is predefined according to the format of the target field.
After the target fields in the original data file are obtained, the target fields may be stored in a dictionary. Wherein the dictionary is predefined according to the format of the target field. Thus, when the target field is acquired, the target field may be stored in a pre-defined dictionary.
S104: in response to a triggering operation of data conversion, the dictionary storing the target fields is converted into data in a target format.
After the operation of data conversion is triggered, the dictionary storing the target fields may be converted into data in the target format. For example, the dictionary may be converted into JSON formatted data to facilitate subsequent system calls and parsing of the data.
Specifically, after the acquired target field is stored in the dictionary, the dictionary may be output as JSON formatted data using the function JSON. Because the data in the JSON format is easy to generate and analyze by a machine, the efficiency of data transmission can be effectively improved.
According to the data processing method provided by the embodiment of the application, the operation of data processing can be automatically executed in response to the triggering operation command without manually transferring data one by one, so that the efficiency and accuracy of data migration can be improved.
After obtaining the data in the target format, the data in the target format can be called by utilizing the interface of the domestic target software in the subsequent process of the domestic DHCP service, and the original DHCP data is added and imported into the target software through data analysis and the like, so that the migration of the DHCP data and the domestic service are completed.
In one possible implementation, after obtaining the data in the target format, the data in the target format may also be processed through various programming languages, so as to reduce the risk in data migration. For example, as shown in table 1, the csv visualization file can be generated by analyzing the data in the target format, so that data migration and display are facilitated.
Table 1 data format schematic diagram
Based on the method embodiment, the embodiment of the application also provides a data processing method.
Referring to fig. 2, fig. 2 is a flowchart of another data processing method according to an embodiment of the present application.
The method mainly comprises the following steps:
S201: responding to a triggering operation for acquiring the original data, and acquiring an original data file;
S202: reading text information in the original data file;
s203: judging whether the text information contains the target field or not based on the key information of the target field;
S204: if yes, acquiring a target field from the text information, and storing the target field in a pre-defined dictionary;
s205: and converting the dictionary stored with the target field into data in the JSON format in response to a triggering operation of data conversion.
According to the data processing method provided by the embodiment of the application, the operation of data processing can be automatically executed in response to the triggering operation command without manually transferring data one by one, so that the efficiency and accuracy of data migration can be improved.
Based on the method embodiment, the embodiment of the application also provides a data processing device. Referring to fig. 3, fig. 3 is a schematic diagram of a data processing apparatus according to an embodiment of the present application.
The apparatus 300 includes: a first acquisition module 301, a second acquisition module 302, a storage module 303, and a processing module 304;
a first obtaining module 301, configured to obtain an original data file in response to a trigger operation for obtaining the original data;
a second obtaining module 302, configured to obtain a target field in the original data file;
A storage module 303, configured to store the target field in a dictionary, where the dictionary is predefined according to a format of the target field;
and the processing module 304 is configured to convert the dictionary storing the target field into data in a target format in response to a triggering operation of data conversion.
In a possible implementation manner, the second obtaining module 302 is specifically configured to read text information in the original data file; and acquiring the target field from the text information based on the keyword information of the target field.
In one possible implementation, the target field includes: at least one of address pool, reserved address, excluded address, and gateway.
In one possible implementation, the method further includes:
And calling the data in the target format based on the interface of the target software.
In one possible implementation manner, the triggering operation for acquiring the original data includes: the raw data export command is executed based on a command window having administrator privileges.
In one possible implementation, the data in the target format includes: data in JSON format.
According to the data processing device provided by the embodiment of the application, the data processing operation can be automatically executed in response to different trigger operation commands without manually transferring data one by one, so that the efficiency and accuracy of data migration can be improved.
Based on the method embodiment and the device embodiment, the embodiment of the application also provides data processing equipment. Referring to fig. 4, fig. 4 is a schematic diagram of a data processing apparatus according to an embodiment of the present application.
The apparatus 400 includes: a memory 401 and a processor 402;
The memory 401 is used for storing relevant program codes;
The processor 402 is configured to invoke the program code to execute the data processing method according to the above-described method embodiment.
Furthermore, the embodiment of the application also provides a computer readable storage medium for storing a computer program for executing the data processing method according to the embodiment of the method.
Embodiments of the present application also provide a computer program product comprising a program which, when run on a processor, causes a computer or network device to perform the data processing method according to the method embodiments described above.
It should be noted that, in the present description, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. In particular, for system or apparatus embodiments, since they are substantially similar to method embodiments, the description is relatively simple, with relevant portions being referred to in the description of the method embodiments. The above-described apparatus embodiments are merely illustrative, in which units or modules illustrated as separate components may or may not be physically separate, and components shown as units or modules may or may not be physical modules, i.e. may be located in one place, or may be distributed over multiple network units, where some or all of the units or modules may be selected according to actual needs to achieve the purposes of the embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
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. The software modules may be disposed 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 application. 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 application. Thus, the present application 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 (8)
1. A data processing method, applied to dynamic host configuration protocol DHCP data transfer, the method comprising:
responding to a triggering operation for acquiring the original data, and acquiring an original data file; the original data file is the data file of the target DHCP server;
Acquiring a target field in the original data file;
storing the target field in a dictionary, the dictionary being predefined according to a format of the target field;
Responding to triggering operation of data conversion, and converting the dictionary stored with the target field into data in a target format;
And calling the data in the target format based on an interface of target software, wherein the target software is used for providing a DHCP service.
2. The method of claim 1, wherein the obtaining the target field in the original data file comprises:
Reading text information in the original data file;
And acquiring the target field from the text information based on the keyword information of the target field.
3. The method of claim 1, wherein the target field comprises: at least one of address pool, reserved address, excluded address, and gateway.
4. The method of claim 1, wherein the triggering operation to obtain the raw data comprises: the raw data export command is executed based on a command window having administrator privileges.
5. The method of any one of claims 1 to 4, wherein the data in the target format comprises: data in JSON format.
6. A data processing apparatus for use in dynamic host configuration protocol, DHCP, data transfer, the apparatus comprising:
The first acquisition module is used for responding to the triggering operation of acquiring the original data and acquiring the original data file; the original data file is the data file of the target DHCP server;
The second acquisition module is used for acquiring a target field in the original data file;
The storage module is used for storing the target field in a dictionary which is predefined according to the format of the target field;
The processing module is used for responding to the triggering operation of data conversion and converting the dictionary stored with the target field into data in a target format;
The device is also used for calling the data in the target format based on an interface of target software, and the target software is used for providing DHCP service.
7. A data processing apparatus, the apparatus comprising: a memory and a processor;
the memory is used for storing related program codes;
the processor is configured to invoke the program code to perform the data processing method of any of claims 1 to 5.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium is for storing a computer program for executing the data processing method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210741568.3A CN115118778B (en) | 2022-06-28 | 2022-06-28 | Data processing method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210741568.3A CN115118778B (en) | 2022-06-28 | 2022-06-28 | Data processing method, device, equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115118778A CN115118778A (en) | 2022-09-27 |
| CN115118778B true CN115118778B (en) | 2024-06-07 |
Family
ID=83330034
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210741568.3A Active CN115118778B (en) | 2022-06-28 | 2022-06-28 | Data processing method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115118778B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2449176A1 (en) * | 2001-06-05 | 2002-12-12 | Mediatrix Telecom, Inc. | Generic method for customization of dhcp options |
| CN104903910A (en) * | 2012-10-16 | 2015-09-09 | 思杰系统有限公司 | Controlling mobile device access to secure data |
| CN110909372A (en) * | 2019-12-02 | 2020-03-24 | 北京百度网讯科技有限公司 | Data processing method, device, equipment and medium |
| CN112069773A (en) * | 2020-07-23 | 2020-12-11 | 北京三快在线科技有限公司 | Data processing system, method, apparatus, electronic device, and computer-readable medium |
| WO2021057217A1 (en) * | 2019-09-27 | 2021-04-01 | 华为技术有限公司 | Communication method, apparatus, device and system, and medium |
| CN112738202A (en) * | 2020-12-25 | 2021-04-30 | 广州虎牙科技有限公司 | Data processing method and related device and storage medium |
| CN112925749A (en) * | 2021-02-20 | 2021-06-08 | 北京同邦卓益科技有限公司 | Data processing method and device, electronic equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10467243B2 (en) * | 2015-08-26 | 2019-11-05 | Oracle International Corporation | Efficient in-memory DB query processing over any semi-structured data formats |
| US11531683B2 (en) * | 2019-11-06 | 2022-12-20 | Servicenow, Inc. | Unified application programming interface for transformation of structured data |
-
2022
- 2022-06-28 CN CN202210741568.3A patent/CN115118778B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2449176A1 (en) * | 2001-06-05 | 2002-12-12 | Mediatrix Telecom, Inc. | Generic method for customization of dhcp options |
| CN104903910A (en) * | 2012-10-16 | 2015-09-09 | 思杰系统有限公司 | Controlling mobile device access to secure data |
| WO2021057217A1 (en) * | 2019-09-27 | 2021-04-01 | 华为技术有限公司 | Communication method, apparatus, device and system, and medium |
| CN110909372A (en) * | 2019-12-02 | 2020-03-24 | 北京百度网讯科技有限公司 | Data processing method, device, equipment and medium |
| CN112069773A (en) * | 2020-07-23 | 2020-12-11 | 北京三快在线科技有限公司 | Data processing system, method, apparatus, electronic device, and computer-readable medium |
| CN112738202A (en) * | 2020-12-25 | 2021-04-30 | 广州虎牙科技有限公司 | Data processing method and related device and storage medium |
| CN112925749A (en) * | 2021-02-20 | 2021-06-08 | 北京同邦卓益科技有限公司 | Data processing method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115118778A (en) | 2022-09-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113746887B (en) | Cross-cluster data request processing method, device and storage medium | |
| CN107948314B (en) | Business processing method and device based on rule file and server | |
| US7603474B2 (en) | Efficient endpoint matching using a header-to-bit conversion table | |
| WO2008150725A1 (en) | Method, equipment and system for resource acquisition | |
| CN112347165B (en) | Log processing method and device, server and computer readable storage medium | |
| CN108093026B (en) | Method and device for processing multi-tenant request | |
| CN109327559B (en) | Domain name resolution method and device based on hybrid cloud platform | |
| CN106790593B (en) | Page processing method and device | |
| US10257254B2 (en) | Method and associated server for providing user-friendly operation | |
| CN111367857B (en) | Data storage method and device, FTP server and storage medium | |
| JP2010117957A (en) | Configuration management server, name specification method, and name specification program | |
| CN110809070A (en) | Website domain name resolution record processing method and device, electronic equipment and storage medium | |
| CN106603593A (en) | HTTP calling method and device based on adaption | |
| US10440059B1 (en) | Embedding contexts for on-line threats into response policy zones | |
| CN108900547B (en) | Source returning control method and device | |
| US8903998B2 (en) | Apparatus and method for monitoring web application telecommunication data by user | |
| CN114245182A (en) | Live video stream acquisition method and device | |
| US20030196117A1 (en) | Home server access system including server and access control method | |
| CN114244842B (en) | Secure resource scheduling method and device, electronic equipment and storage medium | |
| CN113992382B (en) | Service data processing method and device, electronic equipment and storage medium | |
| CN113660359B (en) | Domain name resolution record management method and device, storage medium and electronic equipment | |
| CN115118778B (en) | Data processing method, device, equipment and medium | |
| CN109981621A (en) | Network request processing method and processing device | |
| CN111026613B (en) | Log processing method and device | |
| US6865603B2 (en) | Correcting for network address changes |
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 | ||
| GR01 | Patent grant |