CN113312195A - Data processing method, device, equipment and storage medium - Google Patents

Data processing method, device, equipment and storage medium Download PDF

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Publication number
CN113312195A
CN113312195A CN202110654095.9A CN202110654095A CN113312195A CN 113312195 A CN113312195 A CN 113312195A CN 202110654095 A CN202110654095 A CN 202110654095A CN 113312195 A CN113312195 A CN 113312195A
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China
Prior art keywords
data
text
text data
map
map type
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CN202110654095.9A
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Chinese (zh)
Inventor
林海
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Beijing Minglue Zhaohui Technology Co Ltd
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Beijing Minglue Zhaohui Technology Co Ltd
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Priority to CN202110654095.9A priority Critical patent/CN113312195A/en
Publication of CN113312195A publication Critical patent/CN113312195A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/546—Message passing systems or structures, e.g. queues
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/31—Indexing; Data structures therefor; Storage structures
    • G06F16/313—Selection or weighting of terms for indexing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367—Ontology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/54—Indexing scheme relating to G06F9/54
    • G06F2209/548—Queue

Abstract

The embodiment of the invention discloses a data processing method, a data processing device, data processing equipment and a storage medium. The method comprises the following steps: acquiring text data transmitted by an upper application, and writing the text data into a first set message queue; reading the text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database; assembling the text data according to the data structure to obtain map type data; and returning the map type data to the upper application for storage. According to the data processing method provided by the embodiment of the invention, the text data is converted into the map type data according to the structured data stored in the map database, so that the data processing efficiency can be improved.

Description

Data processing method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a data processing method, a data processing device, data processing equipment and a storage medium.
Background
In all industries of the present, data becomes a valuable resource, and it is very important how to obtain effective content from various data contents and ensure the instantaneity of data stream processing.
At present, in the process of data processing, data is generally transmitted among a plurality of application systems, and after the data is taken, the effective content of the data generally needs to be manually treated and analyzed to obtain the effective content. How to rapidly acquire multi-type data and effectively process the data is a problem to be solved at present.
Disclosure of Invention
Embodiments of the present invention provide a data processing method, apparatus, device, and storage medium, which can improve data processing efficiency.
In a first aspect, an embodiment of the present invention provides a data processing method, including:
acquiring text data transmitted by an upper application, and writing the text data into a first set message queue;
reading the text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database;
assembling the text data according to the data structure to obtain map type data;
and returning the map type data to the upper application for storage.
In a second aspect, an embodiment of the present invention further provides a data processing apparatus, including:
the text data acquisition module is used for acquiring text data transmitted by an upper layer application and writing the text data into a first set message queue;
the data structure determining module is used for reading the text data from the first set message queue and determining the data structure of the read text data according to the structured data stored in the map database;
the map type data acquisition module is used for assembling the text data according to the data structure to obtain map type data;
and the data return module is used for returning the map type data to the upper-layer application for storage.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor implements a data processing method according to an embodiment of the invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processing device, implements the data processing method according to the embodiment of the present invention.
The embodiment of the invention discloses a data processing method, a data processing device, data processing equipment and a storage medium. Acquiring text data transmitted by an upper application, and writing the text data into a first set message queue; reading text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database; assembling text data according to the data structure to obtain map type data; and returning the map type data to the upper-layer application for storage. According to the data processing method provided by the embodiment of the invention, the text data is converted into the map type data according to the structured data stored in the map database, so that the data processing efficiency can be improved.
Drawings
FIG. 1 is a flow chart of a data processing method according to a first embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a data processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device in a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention, where the embodiment is applicable to a case where text data is converted into graph-type data, and the method may be executed by a data processing apparatus, where the apparatus may be composed of hardware and/or software, and may be generally integrated into a device with a data processing function, where the device may be an electronic device such as a server or a server cluster. As shown in fig. 1, the method specifically includes the following steps:
step 110, acquiring text data transmitted by an upper layer application, and writing the text data into a first set message queue.
The text data may include text data in a TXT format, a PDF format, a word format, an Excel format, and the like. The text data comprises data of a plurality of fields, and the data of each field is composed of field identification and specific data. The first set message queue may be understood as a buffer queue, which buffers data on a first-in-first-out basis. In this embodiment, when obtaining text data transmitted by an upper application, the text data is first written into a first set message queue, and then the text data is read from the first set message queue according to the writing sequence, so as to perform subsequent processing on the text data.
Step 120, reading the text data from the first set message queue, and determining the data structure of the read text data according to the structured data stored in the map database.
The map database stores data of various data structure types. Structured data is understood to be data in which the fields contained in the data are combined in a certain structural form.
In this embodiment, the manner of determining the data structure of the read text data according to the structured data stored in the chart database may be: analyzing the read text data to obtain fields contained in the text data; and comparing the fields with the structured data in the chart database to determine the data structure corresponding to the text data.
The field included in the acquired text data may be understood as the field identifier included in the acquired text data. The method for comparing the field with the structured data in the chart database may be to extract a field identifier in the structured data in the chart database, match the field identifier in the structured data with a field identifier included in the text data, and determine a data structure of the structured data with which the field identifier and the field identifier are completely matched as a data structure to be assembled by the text data.
Optionally, the method further comprises the following steps: and storing the text data read from the first set message queue into a storage system.
And step 130, assembling text data according to the data structure to obtain map type data.
The data structure may be understood as a structural form of data representation. The graph type data includes entity data, relationship data, and event data.
Specifically, the text data may be assembled according to the data structure in a manner that fields included in the text data are assembled into entity data, relationship data, and event data according to the determined data structure, so as to obtain the graph type data.
The graph type data is returned to the upper layer application for storage, step 140.
Specifically, the graph type data is returned to the upper layer application through a second set message queue for storage. Returning the graph-type data to the upper-level application for storage may be understood as returning the graph-type data to a search engine in the upper-level application for storage.
Optionally, before acquiring the text data incoming from the upper layer application, the method further includes the following steps: acquiring multi-source business data; processing the multi-source service data into map type data according to a set rule; and storing the atlas type data in an atlas database.
The business data may be data generated by an application program during operation, and may include structured data and unstructured data. Specifically, the business data is processed into entity data, relationship data and event data, and map type data is obtained.
Specifically, the mode of processing the multi-source service data into map type data according to the set rule may be: if the multi-source business data are structured data, analyzing the multi-source business data according to a structured analysis rule to obtain fields contained in the multi-source business data; and (5) reassembling the fields according to a set structure to obtain the map type data.
The structured data may be data assembled according to a certain structural form. For the structured data, in this embodiment, parsing is performed according to a structured parsing rule, so that fields included in the multi-source service data can be obtained, and then the fields are reassembled according to a set structure, so as to obtain map type data.
Specifically, the mode of processing the multi-source service data into map type data according to the set rule may be: if the multi-source business data are unstructured data, analyzing the multi-source business data according to a text analysis rule to obtain fields contained in the multi-source business data; and (5) reassembling the fields according to a set structure to obtain the map type data.
The unstructured data may be text data, such as: TXT format, PDF format, word format and Excel format data.
According to the technical scheme of the embodiment, text data transmitted by an upper layer application is obtained and written into a first set message queue; reading text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database; assembling text data according to the data structure to obtain map type data; and returning the map type data to the upper-layer application for storage. According to the data processing method provided by the embodiment of the invention, the text data is converted into the map type data according to the structured data stored in the map database, so that the data processing efficiency can be improved.
Example two
Fig. 2 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes:
the text data acquisition module 210 is configured to acquire text data transmitted by an upper application, and write the text data into a first set message queue;
a data structure determining module 220, configured to read text data from the first set message queue, and determine a data structure of the read text data according to the structured data stored in the map database;
the map type data obtaining module 230 is configured to assemble text data according to a data structure to obtain map type data;
and the data returning module 240 is used for returning the map type data to the upper-layer application for storage.
Optionally, the data structure determining module 220 is further configured to:
analyzing the read text data to obtain fields contained in the text data;
and comparing the fields with the structured data in the chart database to determine the data structure corresponding to the text data.
Optionally, the data returning module 240 is further configured to:
and returning the map type data to the upper-layer application through a second set message queue for storage.
Optionally, the method further includes: a graph type database processing module for:
acquiring multi-source business data;
processing the multi-source service data into map type data according to a set rule;
and storing the atlas type data in an atlas database.
Optionally, the map type database processing module is further configured to:
if the multi-source business data are structured data, analyzing the multi-source business data according to a structured analysis rule to obtain fields contained in the multi-source business data;
and (5) reassembling the fields according to a set structure to obtain the map type data.
Optionally, the map type database processing module is further configured to:
if the multi-source business data are unstructured data, analyzing the multi-source business data according to a text analysis rule to obtain fields contained in the multi-source business data;
and (5) reassembling the fields according to a set structure to obtain the map type data.
Optionally, the map type data includes entity data, relationship data, and event data.
The device can execute the methods provided by all the embodiments of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention. FIG. 3 illustrates a block diagram of a computer device 312 suitable for use in implementing embodiments of the present invention. The computer device 312 shown in FIG. 3 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. Device 312 is a computing device for typical data processing functions.
As shown in FIG. 3, computer device 312 is in the form of a general purpose computing device. The components of computer device 312 may include, but are not limited to: one or more processors 316, a storage device 328, and a bus 318 that couples the various system components including the storage device 328 and the processors 316.
Bus 318 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
Computer device 312 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 312 and includes both volatile and nonvolatile media, removable and non-removable media.
Storage 328 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 330 and/or cache Memory 332. The computer device 312 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 334 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk-Read Only Memory (CD-ROM), a Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 318 by one or more data media interfaces. Storage 328 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
Program 336 having a set (at least one) of program modules 326 may be stored, for example, in storage 328, such program modules 326 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which may comprise an implementation of a network environment, or some combination thereof. Program modules 326 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.
The computer device 312 may also communicate with one or more external devices 314 (e.g., keyboard, pointing device, camera, display 324, etc.), with one or more devices that enable a user to interact with the computer device 312, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 312 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 322. Also, computer device 312 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), etc.) and/or a public Network, such as the internet, via Network adapter 320. As shown, network adapter 320 communicates with the other modules of computer device 312 via bus 318. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 312, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, to name a few.
The processor 316 executes various functional applications and data processing by executing programs stored in the storage 328, for example, to implement the data processing methods provided by the above-described embodiments of the present invention.
Example four
Embodiments of the present invention provide a computer-readable storage medium on which a computer program is stored, which, when executed by a processing apparatus, implements a data processing method as in embodiments of the present invention. The computer readable medium of the present invention described above may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring text data transmitted by an upper application, and writing the text data into a first set message queue; reading the text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database; assembling the text data according to the data structure to obtain map type data; and returning the map type data to the upper application for storage.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. 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.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A data processing method, comprising:
acquiring text data transmitted by an upper application, and writing the text data into a first set message queue;
reading the text data from the first set message queue, and determining a data structure of the read text data according to the structured data stored in the map database;
assembling the text data according to the data structure to obtain map type data;
and returning the map type data to the upper application for storage.
2. The method of claim 1, wherein determining a data structure of the read text data from the structured data stored in the spectra database comprises:
analyzing the read text data to obtain fields contained in the text data;
and comparing the field with structured data in a map database, and determining a data structure corresponding to the text data.
3. The method of claim 1, wherein returning the graph type data to the upper-level application for storage comprises:
and returning the map type data to the upper application for storage through a second set message queue.
4. The method of claim 1, further comprising, prior to obtaining the text data incoming from the upper layer application:
acquiring multi-source business data;
processing the multi-source service data into map type data according to a set rule;
storing the profile type data to the profile database.
5. The method of claim 4, wherein processing the multi-source business data into graph type data according to a set rule comprises:
if the multi-source business data are structured data, analyzing the multi-source business data according to a structured analysis rule to obtain fields contained in the multi-source business data;
and reassembling the fields according to a set structure to obtain the map type data.
6. The method of claim 4, wherein processing the multi-source business data into graph type data according to a set rule comprises:
if the multi-source business data is unstructured data, analyzing the multi-source business data according to a text analysis rule to obtain fields contained in the multi-source business data;
and reassembling the fields according to a set structure to obtain the map type data.
7. The method of any one of claims 1 to 6, wherein the graph type data includes entity data, relationship data and event data.
8. A data processing apparatus, comprising:
the text data acquisition module is used for acquiring text data transmitted by an upper layer application and writing the text data into a first set message queue;
the data structure determining module is used for reading the text data from the first set message queue and determining the data structure of the read text data according to the structured data stored in the map database;
the map type data acquisition module is used for assembling the text data according to the data structure to obtain map type data;
and the data return module is used for returning the map type data to the upper-layer application for storage.
9. A computer device, the device comprising: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor implements a data processing method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by processing means, carries out the data processing method according to any one of claims 1-7.
CN202110654095.9A 2021-06-11 2021-06-11 Data processing method, device, equipment and storage medium Pending CN113312195A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115481166A (en) * 2022-08-08 2022-12-16 北京永信至诚科技股份有限公司 Data storage method and device, electronic equipment and computer storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115481166A (en) * 2022-08-08 2022-12-16 北京永信至诚科技股份有限公司 Data storage method and device, electronic equipment and computer storage medium

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