CN106802841B - Data extraction and analysis method and device and server - Google Patents
Data extraction and analysis method and device and server Download PDFInfo
- Publication number
- CN106802841B CN106802841B CN201710043954.4A CN201710043954A CN106802841B CN 106802841 B CN106802841 B CN 106802841B CN 201710043954 A CN201710043954 A CN 201710043954A CN 106802841 B CN106802841 B CN 106802841B
- Authority
- CN
- China
- Prior art keywords
- data backup
- data
- backup file
- module
- user
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1469—Backup restoration techniques
Abstract
The invention relates to the technical field of mobile communication, in particular to a data extraction and analysis method, a device and a server. And decoding the user data backup files to obtain user standard data files, and arranging and combining the user standard data files according to a preset rule. The IMS network element data is imported, the imported data is extracted and analyzed to obtain user standard data, the user standard data are arranged and combined according to a preset rule, and the user standard data after arrangement and combination can be understood by non-professional personnel, so that the data exported by the IMS network element are analyzed, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a data extraction and analysis method, a data extraction and analysis device and a server.
Background
Most of the existing methods for extracting the IMS network element data are that network element equipment manufacturers export the network element data through interfaces of their own network element equipment, and meanwhile, due to the high professional degree of communication equipment, other manufacturers cannot process or have difficulty in processing the data exported by the IMS network element equipment of each manufacturer. Meanwhile, data derived by IMS network element devices are generally at a parameter level, so even non-professional personnel of the same manufacturer cannot understand the data. Therefore, it is necessary to provide a data extraction and analysis method for IMS network element devices.
Disclosure of Invention
The invention aims to provide a data extraction and analysis method to realize the analysis of data exported by an IMS network element, so that other non-professional persons can understand the data.
Another object of the present invention is to provide a data extraction and parsing apparatus, so as to implement parsing on data exported by an IMS network element, so that other non-professional persons can understand the data.
It is another object of the present invention to provide a server to perform parsing of data derived by IMS network elements, so that other non-professionals can understand it.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a data extraction and analysis method, where the method includes:
importing a data backup file according to a preset import scheme;
analyzing the imported data backup file, and extracting a user data backup file, wherein the user data backup file is used for representing information required to be transmitted by the data backup file;
decoding the user data backup file to obtain a user standard data file;
and arranging and combining the user standard data files according to a preset rule.
Further, before importing the data backup file according to the preset import scheme, the method further includes the steps of:
acquiring a data backup file;
and checking the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file, and when the data backup file is consistent with the pre-stored data backup file, importing the data backup file according to a preset import scheme.
Further, before decoding the user data backup file to obtain a user standard data file, the method further comprises the following steps:
and carrying out duplicate removal operation on the user data backup file.
Further, the method comprises the steps of:
and storing the user standard data files after arrangement and combination.
In a second aspect, an embodiment of the present invention further provides a data extraction and analysis device, including:
the import module is used for importing the data backup file according to a preset import scheme;
the extraction module is used for analyzing the imported data backup files and extracting user data backup files, and the user data backup files are used for representing information required to be transmitted by the data backup files;
the decoding module is used for decoding the user data backup file to obtain a user standard data file;
and the combination module is used for arranging and combining the user standard data files according to a preset rule.
Further, the data extraction and analysis device also comprises an acquisition module and a check module,
the acquisition module is used for acquiring a data backup file;
the check module is used for checking the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file or not, and when the data backup file is consistent with the pre-stored data backup file, the import module imports the data backup file according to a preset import scheme.
Further, the data extraction and analysis device also comprises a duplication elimination module,
and the duplication elimination module is used for carrying out duplication elimination operation on the user data backup file obtained by the extraction module.
Further, the data extraction and analysis device also comprises a storage module,
the storage module is used for storing the user standard data files after the combination modules are arranged and combined.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes:
a memory;
a processor; and
a data extraction and parsing device installed in the memory and including one or more software functional modules executed by the processor, the data extraction and parsing device comprising:
the import module is used for importing the data backup file according to a preset import scheme;
the extraction module is used for analyzing the imported data backup files and extracting user data backup files, and the user data backup files are used for representing information required to be transmitted by the data backup files;
the decoding module is used for decoding the user data backup file to obtain a user standard data file;
and the combination module is used for arranging and combining the user standard data files according to a preset rule.
Furthermore, the data extraction and analysis device also comprises an acquisition module, a check module, a duplicate removal module and a storage module,
the acquisition module is used for acquiring a data backup file;
the check module is used for checking the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file or not, and when the data backup file is consistent with the pre-stored data backup file, the import module imports the data backup file according to a preset import scheme;
the duplication removing module is used for carrying out duplication removing operation on the user data backup file obtained by the extracting module;
the storage module is used for storing the user standard data files after the combination modules are arranged and combined.
The data extraction and analysis method comprises the steps of importing a data backup file according to a preset importing scheme, analyzing the imported data backup file, and extracting a user data backup file, wherein the user data backup file is used for representing information required to be transmitted by the data backup file. And decoding the user data backup files to obtain user standard data files, and arranging and combining the user standard data files according to a preset rule. The IMS network element data is imported, the imported data is extracted and analyzed to obtain user standard data, the user standard data are arranged and combined according to a preset rule, and the user standard data after arrangement and combination can be understood by non-professional personnel, so that the data exported by the IMS network element are analyzed, and the working efficiency is improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 illustrates a schematic structural diagram of an application environment of a first server according to an embodiment of the present invention.
Fig. 2 shows a schematic structural diagram of a first server according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram illustrating a data extraction and parsing apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic flow chart illustrating a data extraction and parsing method according to an embodiment of the present invention.
The figure is as follows: 100-an IMS network element; 200-a first server; 300-a network; 400-a second server; 210-data extraction and analysis means; 220-a memory; 230-a processor; 211-an acquisition module; 212-a verification module; 213-import module; 214-an extraction module; 215-a deduplication module; 216-a decoding module; 217-a combination module; 218-a storage module; 219-query module.
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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Fig. 1 is a schematic structural diagram of an application environment of a first server 200 according to an embodiment of the present invention. Different vendors have different IMS (IP Multimedia Subsystem) network elements 100 and thus different vendors output data in different IMS network element 100 formats. The plurality of IMS network elements 100 are connected to a first server 200, the first server 200 is connected to a plurality of second servers 400 through a network 300, and the first server 200 extracts and parses data output by the plurality of IMS network elements 100, so as to convert the data into standard format data for the plurality of second servers 400 to query or export. The second server 400 is a server of another manufacturer, so that the query and export of the IMS network element 100 data between different manufacturers are realized, and great convenience is provided for information exchange between different manufacturers.
Fig. 2 is a schematic structural diagram of a first server 200 according to an embodiment of the present invention. The data extraction and analysis device 210 is disposed in the first server 200, and specifically includes:
the first server 200 includes a data extraction and parsing device 210, a memory 220, and a processor 230. The elements of the memory 220 and the processor 230 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The data extraction and parsing device 210 includes at least one software function module which can be stored in the memory 220 in the form of software or firmware (firmware) or fixed in an Operating System (OS) of the first server 200. The processor 230 is used for executing executable modules stored in the memory 220, such as software functional modules and computer programs included in the data extraction and analysis device 210.
The Memory 220 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 220 is used for storing a program, and the processor 230 executes the program after receiving the execution instruction.
The data extracting and analyzing device 210 is configured to analyze data acquired from the IMS network element 100 to obtain standard data, and in this embodiment, the data refers to a data backup file, that is, the data extracting and analyzing device 210 acquires the data backup file from the IMS network element 100 in an offline state, so that a normal network service of the IMS network element 100 is not affected, and the work efficiency is improved. Fig. 3 is a block diagram of a data extraction and analysis device 210 according to an embodiment of the present invention. The data extraction and analysis device 210 includes an import module 213, an extraction module 214, a decoding module 216, and a combination module 217.
The import module 213 is configured to import the data backup file according to a preset import scheme.
The importing scheme is specifically that different manufacturers have different IMS network elements 100, different manufacturers may use different databases to store data backup files in the IMS network elements 100, for example, manufacturer a uses MySQL database to store corresponding data backup files of the IMS network elements 100, manufacturer B uses Access database to store corresponding data backup files of the IMS network elements 100, and the importing module 213 imports the data backup files respectively according to different database types. Or even if different manufacturers use the same database to store the data backup files of the IMS network element 100, the data backup files in the IMS network element 100 are stored according to different data structures, that is, manufacturer a uses MySQL database to store 3 fields of the corresponding data backup files of the IMS network element 100, and manufacturer B uses MySQL database to store 4 fields of the corresponding data backup files of the IMS network element 100, at this time, the importing module 213 imports the data backup files according to different data structure types.
After the import module 213 imports the data backup file, the extraction module 214 is configured to analyze the imported data backup file and extract a user data backup file, where the user data backup file is used to represent information that needs to be transferred by the data backup file.
Specifically, the data backup file includes parameter information such as configuration information of the IMS network element 100 and a user data backup file, where the user data backup file is actually required information, such as a user number, a user name, a user communication status, and the like. The user data backup file is extracted for subsequent analysis by the extraction module 214, and the remaining parameter information is discarded.
After the extraction module 214 extracts the user data backup file, the decoding module 216 decodes the user data backup file to obtain a user standard data file.
Specifically, most of the data stored in the IMS network element 100 is a sequence composed of binary codes 0 and 1 of a computer, and the sequence represents information to be transmitted, that is, the user data backup file is a sequence composed of binary codes 0 and 1, and the sequence cannot be well understood by non-professional persons, and therefore, the sequence needs to be decoded into a sequence composed of chinese characters, that is, a standard data file, so that the non-professional persons can understand the sequence.
After the decoding module 216 decodes the user data backup file to obtain the user standard data file, the combining module 217 arranges and combines the user standard data file according to a preset rule, so that the user standard data file is arranged according to a certain sequence to express a complete meaning, thereby facilitating the browsing and reading of a worker.
The data extraction and analysis device 210 further includes an obtaining module 211 and a checking module 212.
Before the importing module 213 imports the data backup file, the obtaining module 211 is configured to obtain the data backup file in advance, and the verifying module 212 verifies the data backup file obtained by the obtaining module 211 to determine whether the data backup file is consistent with a pre-stored data backup file.
Specifically, the obtaining module 211 is configured to obtain a data backup file from an interface of the IMS network element 100, the verifying module 212 verifies the data backup file, and when the obtained data backup file is consistent with a pre-stored data backup file, it indicates that the obtained data backup file is complete, at this time, the importing module 213 imports the data backup file according to a preset importing scheme, for example, compare whether an identification bit, a length, and a characteristic value of the obtained data backup file are consistent with the pre-stored data backup file, where the pre-stored data backup file refers to the data backup file stored in the IMS network element 100. When the obtained data backup file is inconsistent with the pre-stored data backup file, it indicates that the obtained data backup file is not complete, that is, only a part of the data backup file is obtained from the IMS network element 100, at this time, the import module 213 cannot import the data backup file, but the obtaining module 211 newly obtains the data backup file from the IMS network element 100, verifies the obtained data backup file, and after the verification is passed, the import module 213 can import the data backup file for subsequent analysis processing.
The data extraction parsing apparatus 210 further includes a deduplication module 215.
After the extraction module 214 extracts the user data backup file, the deduplication module 215 further needs to perform deduplication processing on the user data backup file obtained by the extraction module 214 before the decoding module 216 decodes the user data backup file.
Specifically, the extracting module 214 extracts the user data backup files, where there are duplicate user data backup files, for example, the user data backup files extracted by the extracting module 214 contain two identical user names and the user information corresponding to the user names is identical, and at this time, the deduplication module 215 removes one of the information, so as to avoid data redundancy and reduce the workload of the decoding module 216.
The data extraction and parsing apparatus 210 further includes a storage module 218 and a query module 219.
After the combination module 217 arranges and combines the user standard data files, the storage module 218 stores the arranged and combined user standard data files, and the query module 219 provides a common interface for the plurality of second servers 400 to query the user standard data files stored in the storage module 218.
In this embodiment, the storage module 218 stores the user standard data file into two data tables, i.e., a BASE table and an IMPU table, where the BASE table includes a plurality of fields, such as a user identifier, a user capability set, and a user share, the IMPU table includes a plurality of fields, such as an IMPU, an IMPU type, a locking identifier, and a default identifier of a user, and the storage module 218 stores the user standard data file according to the established unified data model, i.e., the data table, so that a worker can better view information and simultaneously facilitate information maintenance. The query module 219 provides a general interface for the second servers 400 to query the user standard data files stored in the storage module 218, and meanwhile, the query module 219 further provides a data downloading function in various formats, such as downloading the user standard data files according to an excel format or downloading the user standard data files according to a Word format, so that the second servers 400 can make full use of information, and information intercommunication between manufacturers is facilitated.
Fig. 4 is a flowchart of a data extraction and analysis method according to an embodiment of the present invention, which is applied to the data extraction and analysis device 210. The method comprises the following steps:
step S130, importing the data backup file according to a preset import scheme.
In this embodiment, step S130 may be performed by the import module 213.
Step S140, analyzing the imported data backup file, and extracting a user data backup file, where a user of the user data backup file represents information to be transmitted by the data backup file.
In the present embodiment, step S140 may be performed by the extraction module 214.
Step S160, decoding the user data backup file to obtain a user standard data file.
In this embodiment, step S160 may be performed by the decoding module 216.
Step S170, arranging and combining the user standard data files according to a preset rule.
In the present embodiment, step S170 may be performed by the combining module 217.
Before step S130, the method further includes:
step S110, a data backup file is acquired.
Step S120, verifying the data backup file, and determining whether the data backup file is consistent with a pre-stored data backup file. That is, when the data-backed file is identical to the pre-stored data-backed file, step S130 is performed; when the data backup file is inconsistent with the pre-stored data backup file, step S110 is executed to retrieve the data backup file.
In this embodiment, step S110 may be performed by the obtaining module 211, and step S120 may be performed by the verifying module 212.
After step S140 is executed, step S150 is further included before step S160 is executed, and the deduplication operation is performed on the user data backup file.
In the present embodiment, step S150 may be performed by the deduplication module 215.
After step S170 is executed, the method further includes:
and step S180, storing the user standard data files after arrangement and combination.
Step S190, querying or exporting the stored user standard data file.
In this embodiment, step S180 may be performed by the storage module 218, and step S190 may be performed by the query module 219.
In summary, in the data extraction and analysis method, the data extraction and analysis device, and the server provided in the embodiments of the present invention, the data extraction and analysis method includes importing a data backup file according to a preset import scheme, analyzing the imported data backup file, and extracting a user data backup file, where the user data backup file is used to represent information that needs to be transferred by the data backup file. And decoding the user data backup files to obtain user standard data files, and arranging and combining the user standard data files according to a preset rule. The IMS network element data is imported, the imported data is extracted and analyzed to obtain user standard data, the user standard data are arranged and combined according to a preset rule, and the user standard data after arrangement and combination can be understood by non-professional personnel, so that the data exported by the IMS network element are analyzed, and the working efficiency is improved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A data extraction and analysis method is characterized by comprising the following steps:
acquiring a data backup file;
checking the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file or not, and when the data backup file is consistent with the pre-stored data backup file, importing the data backup file according to a preset import scheme;
importing a data backup file according to a preset import scheme; the step of importing the data backup file according to the preset import scheme comprises the following steps: respectively importing data backup files according to different database types and/or data structure types;
analyzing the imported data backup file, and extracting a user data backup file, wherein the user data backup file is used for representing information required to be transmitted by the data backup file;
decoding the user data backup file to obtain a user standard data file;
and arranging and combining the user standard data files according to a preset rule.
2. The data extraction and analysis method of claim 1, wherein before decoding the user data backup file to obtain a user standard data file, the method further comprises:
and carrying out duplicate removal operation on the user data backup file.
3. The data extraction parsing method of claim 1, wherein said method further comprises the steps of:
and storing the user standard data files after arrangement and combination.
4. A data extraction and analysis device is characterized by comprising:
the acquisition module is used for acquiring a data backup file;
the verification module is used for verifying the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file or not, and when the data backup file is consistent with the pre-stored data backup file, the importing module imports the data backup file according to a preset importing scheme;
the import module is used for respectively importing the data backup files according to different database types and/or data structure types;
the extraction module is used for analyzing the imported data backup files and extracting user data backup files, and the user data backup files are used for representing information required to be transmitted by the data backup files;
the decoding module is used for decoding the user data backup file to obtain a user standard data file;
and the combination module is used for arranging and combining the user standard data files according to a preset rule.
5. The data extraction and parsing device of claim 4, wherein the data extraction and parsing device further comprises a deduplication module,
and the duplication elimination module is used for carrying out duplication elimination operation on the user data backup file obtained by the extraction module.
6. The data extraction parsing apparatus of claim 4, wherein the data extraction parsing apparatus further comprises a storage module,
the storage module is used for storing the user standard data files after the combination modules are arranged and combined.
7. A server, characterized in that the server comprises:
a memory;
a processor; and
a data extraction and parsing device installed in the memory and including one or more software functional modules executed by the processor, the data extraction and parsing device comprising:
the import module is used for importing the data backup file according to a preset import scheme;
the extraction module is used for analyzing the imported data backup files and extracting user data backup files, and the user data backup files are used for representing information required to be transmitted by the data backup files;
the decoding module is used for decoding the user data backup file to obtain a user standard data file;
and the combination module is used for arranging and combining the user standard data files according to a preset rule.
8. The server according to claim 7, wherein the data extraction and parsing apparatus further comprises an acquisition module, a check module, a deduplication module, and a storage module,
the acquisition module is used for acquiring a data backup file;
the check module is used for checking the data backup file, judging whether the data backup file is consistent with a pre-stored data backup file or not, and when the data backup file is consistent with the pre-stored data backup file, the import module imports the data backup file according to a preset import scheme;
the duplication removing module is used for carrying out duplication removing operation on the user data backup file obtained by the extracting module;
the storage module is used for storing the user standard data files after the combination modules are arranged and combined.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710043954.4A CN106802841B (en) | 2017-01-19 | 2017-01-19 | Data extraction and analysis method and device and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710043954.4A CN106802841B (en) | 2017-01-19 | 2017-01-19 | Data extraction and analysis method and device and server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106802841A CN106802841A (en) | 2017-06-06 |
| CN106802841B true CN106802841B (en) | 2020-06-09 |
Family
ID=58988229
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710043954.4A Active CN106802841B (en) | 2017-01-19 | 2017-01-19 | Data extraction and analysis method and device and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106802841B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111861366A (en) * | 2020-06-08 | 2020-10-30 | 远光软件股份有限公司 | Project-ground intelligent auditing system and computer |
| CN112954057A (en) * | 2021-02-08 | 2021-06-11 | 四川奥诚科技有限责任公司 | VoLTE network element-based data analysis method, device, equipment and medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101202942B (en) * | 2006-12-13 | 2011-04-20 | 中兴通讯股份有限公司 | Method for monitoring short message |
| CN101350733B (en) * | 2007-07-20 | 2012-02-29 | 中兴通讯股份有限公司 | System for acquiring net element performance data base on preposition data server and implementing method thereof |
| CN101989929B (en) * | 2010-11-17 | 2014-07-02 | 中兴通讯股份有限公司 | Disaster recovery data backup method and system |
| CN102821211B (en) * | 2011-06-10 | 2017-04-19 | 中兴通讯股份有限公司 | Automatic testing method and device for communication network elements |
| CN103200556B (en) * | 2013-04-02 | 2016-06-01 | 四川奥诚科技有限责任公司 | A kind of method of HLR user data self-inspection and system |
| CN103942287B (en) * | 2014-04-10 | 2017-06-06 | 大唐移动通信设备有限公司 | Mass data processing method, database server and application server |
| CN104317676A (en) * | 2014-11-21 | 2015-01-28 | 四川智诚天逸科技有限公司 | Data backup disaster tolerance method |
-
2017
- 2017-01-19 CN CN201710043954.4A patent/CN106802841B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN106802841A (en) | 2017-06-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2018120721A1 (en) | Method and system for testing user interface, electronic device, and computer readable storage medium | |
| CN107643932B (en) | Data acquisition method, acquisition device and storage device | |
| CN109918341B (en) | Log processing method and device | |
| WO2014150250A2 (en) | Method and apparatus for substitution scheme for anonymizing personally identifiable information | |
| CN109241014B (en) | Data processing method and device and server | |
| WO2014139302A1 (en) | Information sharing method and system | |
| CN106817419B (en) | VoLTE AS network element-based data extraction and analysis method and device and service terminal | |
| CN106802841B (en) | Data extraction and analysis method and device and server | |
| CN108241642B (en) | File analysis method and device | |
| CN112084249A (en) | Access record extraction method and device | |
| CN110958292A (en) | File uploading method, electronic device, computer equipment and storage medium | |
| CN104750663A (en) | Identification method and device for text messy codes in page | |
| CN111258819A (en) | Data acquisition method, device and system for MySQL database backup file | |
| CN108108478B (en) | Data format conversion method and system and electronic equipment | |
| CN105843809B (en) | Data processing method and device | |
| CN110019542B (en) | Generation of enterprise relationship, generation of organization member database and identification of same name member | |
| US10754748B2 (en) | System and method for constructing extensible event log with javascript object notation (JSON) encoded payload data | |
| CN108845995B (en) | Data processing method, data processing apparatus, storage medium, and electronic apparatus | |
| CN108763916A (en) | Business interface safety evaluation method and device | |
| CN115510289B (en) | Data cube configuration method and device, electronic equipment and storage medium | |
| CN112000692A (en) | Page query feedback method and device, computer equipment and readable storage medium | |
| CN116010480A (en) | Time sequence database auditing method and system | |
| Kaart et al. | Forensic access to Windows Mobile pim. vol and other Embedded Database (EDB) volumes | |
| CN107480035B (en) | Method for checking memory occupation condition of picture | |
| CN110119335A (en) | Server NTP process monitoring method, electronic device and 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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |