CN112685189B - Method, device, equipment and medium for realizing data processing - Google Patents
Method, device, equipment and medium for realizing data processing Download PDFInfo
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Abstract
The disclosure relates to the technical field of internet finance, and particularly provides a method, a device, a medium and equipment for realizing data processing, wherein the method comprises the following steps: acquiring a processing request aiming at a target object; selecting a processing sub-object from target sub-objects included in the target object according to the processing request; combining the processing sub-objects to obtain a combined sub-object; acquiring data to be processed corresponding to the combined sub-object; and carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object. In the method disclosed by the invention, a 'line' -type persistent storage scheme is adopted between the account main body and the plurality of sub-accounts, so that the expandability of the system is improved. And carrying out configuration management on various transaction scenes and account billing rules, and storing by using a caching device. Can dynamically expand with the increase of transaction scenes.
Description
Technical Field
The present disclosure relates to the field of internet finance, and more particularly, to a method, apparatus, device, and medium for implementing data processing.
Background
In the context of rapid development of online transaction services in the internet technology, each company will establish its own online transaction service. Meanwhile, the services such as recharging, payment, presenting, clearing and settling provided by the user and the merchant are required to support high-concurrency multi-transaction, so that the user or the merchant can be simultaneously served for supporting more transactions.
On one hand, account billing requirements of continuous high-concurrency multi-transaction scenes are met, and on the other hand, data processing logic is closely related to transaction scene services and consistency is required.
To satisfy account billing in a variety of transaction scenarios, a user or merchant may have more than one account, have multiple sub-accounts for wallet, freeze, clearing, settlement, etc.
In the prior art, a 'columnar' persistent storage scheme is often adopted between an account main body and a plurality of sub-accounts, and account billing adopts an 'optimistic lock' or a 'distributed lock' to control the account main body concurrently. This results in an account body that can only perform accounting services for one transaction scenario at a time, and as transaction scenarios increase, extended maintenance of accounts becomes a difficulty.
Disclosure of Invention
The technical problem that the account maintenance is difficult caused by the increase of transaction business cannot be solved in the prior art.
In order to achieve the above technical object, the present disclosure provides a method for implementing data processing, including:
acquiring a processing request aiming at a target object;
selecting a processing sub-object from target sub-objects included in the target object according to the processing request;
combining the processing sub-objects to obtain a combined sub-object;
acquiring data to be processed corresponding to the combined sub-object;
and carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object.
Further, before the data to be processed is processed concurrently according to the processing request to obtain the target data corresponding to the combined sub-object, the method further includes:
determining a combined sub-object containing the same processing sub-object as a first processing queue;
determining a combined sub-object that does not contain the same processing sub-object as a second processing queue;
the step of carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object, includes:
according to the processing request, carrying out concurrent processing on the data to be processed corresponding to the combined sub-object in the first processing queue and the data to be processed corresponding to the combined sub-object in the second processing queue;
according to the processing request, carrying out serial processing on the data to be processed corresponding to the combined sub-object in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
Further, the serial processing of the data to be processed corresponding to the combined sub-object in the first processing queue according to the processing request includes:
determining the processing sequence of each combined sub-object in the first processing queue according to the processing request;
and processing the data to be processed corresponding to each combined sub-object in the first processing queue in sequence according to the processing sequence.
Further, according to the processing request, selecting a processing sub-object from target sub-objects included in the target object, including:
determining a target processing type corresponding to the processing request, wherein the target processing type is one or more of preset processing types;
and selecting a target sub-object corresponding to the target processing type from target sub-objects included in the target object as a processing sub-object.
Further, the combining the processing sub-objects to obtain a combined sub-object includes:
and combining the processing sub-objects corresponding to the same target processing type to obtain a combined sub-object.
Further, the step of concurrently processing the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object includes:
acquiring a processing operation mode corresponding to the target processing type;
and carrying out concurrent processing on the data to be processed according to the processing operation mode to obtain target data corresponding to the combined sub-object.
Further, the method further comprises:
determining target data corresponding to each processing sub-object according to the target data corresponding to the combined sub-object;
and storing the target object, the processing sub-object and the target data corresponding to the processing sub-object in a line type storage mode.
To achieve the above technical object, the present disclosure also provides a data processing apparatus, including:
a first acquisition unit configured to acquire a processing request for a target object;
the selecting unit is used for selecting a processing sub-object from target sub-objects included in the target object according to the processing request;
a combining unit, configured to combine the processing sub-objects to obtain a combined sub-object;
the second acquisition unit is used for acquiring the data to be processed corresponding to the combined sub-object;
and the processing unit is used for carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object.
To achieve the above technical object, the present disclosure can also provide a computer storage medium having a computer program stored thereon, which when executed by a processor is configured to implement the steps of the above-described data processing method.
To achieve the above technical purpose, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor implements the steps of implementing the data processing method described above when executing the computer program.
The beneficial effects of the present disclosure are:
1. and a 'line type' persistent storage scheme is adopted between the account main body and the plurality of sub-accounts, so that the expandability of the system is improved.
2. And carrying out configuration management on various transaction scenes and account billing rules, and storing by using a caching device. Can dynamically expand with the increase of transaction scenes.
3. The account billing consistency aspect adopts a transaction scene related sub-account joint group key distributed queue design method, and the minimum granularity is controlled in parallel and concurrently.
Drawings
FIG. 1 shows a schematic flow diagram of embodiment 1 of the present disclosure;
fig. 2 shows a schematic structural diagram of embodiment 2 of the present disclosure;
fig. 3 shows a schematic structural diagram of embodiment 4 of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
Various structural schematic diagrams according to embodiments of the present disclosure are shown in the drawings. The figures are not drawn to scale, wherein certain details are exaggerated for clarity of presentation and may have been omitted. The shapes of the various regions, layers and relative sizes, positional relationships between them shown in the drawings are merely exemplary, may in practice deviate due to manufacturing tolerances or technical limitations, and one skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions as actually required.
Embodiment one:
as shown in fig. 1:
the present disclosure also provides a method for implementing data processing, including:
s1: acquiring a processing request aiming at a target object;
s2: selecting a processing sub-object from target sub-objects included in the target object according to the processing request;
s3: combining the processing sub-objects to obtain a combined sub-object;
s4: acquiring data to be processed corresponding to the combined sub-object;
s5: and carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object.
Further, before the step S5, the method further includes:
determining a combined sub-object containing the same processing sub-object as a first processing queue;
determining a combined sub-object that does not contain the same processing sub-object as a second processing queue;
the step of carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object, includes:
according to the processing request, carrying out concurrent processing on the data to be processed corresponding to the combined sub-object in the first processing queue and the data to be processed corresponding to the combined sub-object in the second processing queue;
according to the processing request, carrying out serial processing on the data to be processed corresponding to the combined sub-object in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
Specifically, the serial processing of the data to be processed corresponding to the combined sub-object in the first processing queue according to the processing request includes:
determining the processing sequence of each combined sub-object in the first processing queue according to the processing request;
and processing the data to be processed corresponding to each combined sub-object in the first processing queue in sequence according to the processing sequence.
Specifically, the selecting, according to the processing request, a processing sub-object from target sub-objects included in the target object includes:
determining a target processing type corresponding to the processing request, wherein the target processing type is one or more of preset processing types;
and selecting a target sub-object corresponding to the target processing type from target sub-objects included in the target object as a processing sub-object.
Specifically, the combining the processing sub-objects to obtain a combined sub-object includes:
and combining the processing sub-objects corresponding to the same target processing type to obtain a combined sub-object.
Specifically, the step of concurrently processing the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object includes:
acquiring a processing operation mode corresponding to the target processing type;
and carrying out concurrent processing on the data to be processed according to the processing operation mode to obtain target data corresponding to the combined sub-object.
Further, the method further comprises:
determining target data corresponding to each processing sub-object according to the target data corresponding to the combined sub-object;
and storing the target object, the processing sub-object and the target data corresponding to the processing sub-object in a line type storage mode.
Embodiment two:
as shown in the figure 3 of the drawings,
the present disclosure also provides an implementation data processing apparatus, comprising:
a first acquisition unit 201 for acquiring a processing request for a target object;
a selecting unit 202, configured to select a processing sub-object from target sub-objects included in the target object according to the processing request;
a combining unit 203, configured to combine the processing sub-objects to obtain a combined sub-object;
a second obtaining unit 204, configured to obtain data to be processed corresponding to the combined sub-object;
and the processing unit 205 is configured to perform concurrent processing on the data to be processed according to the processing request, so as to obtain target data corresponding to the combined sub-object.
The first obtaining unit 201 of the present disclosure is sequentially connected to the selecting unit 202, the combining unit 203, the second obtaining unit 204, and the processing unit 205.
Embodiment III:
the present disclosure also provides a computer storage medium having stored thereon a computer program for carrying out the steps of the above described implementation data processing method when executed by a processor.
The computer storage media of the present disclosure may be implemented using semiconductor memory, magnetic core memory, drum memory, or magnetic disk memory.
Semiconductor memory devices mainly used for computers mainly include two types, mos and bipolar. The Mos device has high integration level, simple process and slower speed. Bipolar devices have complex processes, high power consumption, low integration, and high speed. After the advent of NMos and CMos, mos memories began to dominate semiconductor memories. NMos is fast, e.g., 1K bit SRAM access time from Intel corporation is 45ns. And the CMos has low power consumption, and the access time of the CMos static memory with 4K bits is 300ns. The semiconductor memories are all Random Access Memories (RAM), i.e. new contents can be read and written randomly during operation. While semiconductor read-only memory (ROM) is randomly readable but not writable during operation and is used to store cured programs and data. ROM is in turn divided into two types, non-rewritable fuse read-only memory-PROM and rewritable read-only memory EPROM.
The magnetic core memory has the characteristics of low cost and high reliability, and has practical use experience of more than 20 years. Core memory has been widely used as main memory before the mid-70 s. Its storage capacity can be up to above 10 bits, and its access time is up to 300ns. The internationally typical core memory capacity is 4 MS-8 MB with access cycles of 1.0-1.5 mus. After the rapid development of semiconductor memory replaces the location of core memory as main memory, core memory can still be applied as mass expansion memory.
A magnetic drum memory, an external memory for magnetic recording. Because of its fast information access speed, it works stably and reliably, and although its capacity is smaller, it is gradually replaced by disk memory, but it is still used as external memory for real-time process control computers and middle and large-sized computers. In order to meet the demands of small-sized and microcomputer, a microminiature magnetic drum has appeared, which has small volume, light weight, high reliability and convenient use.
A magnetic disk memory, an external memory for magnetic recording. It has the advantages of both drum and tape storage, i.e. its storage capacity is greater than that of drum, and its access speed is faster than that of tape storage, and it can be stored off-line, so that magnetic disk is widely used as external memory with large capacity in various computer systems. Magnetic disks are generally classified into hard disks and floppy disk storage.
Hard disk memory is of a wide variety. Structurally, the device is divided into a replaceable type and a fixed type. The replaceable disk platter is replaceable, and the fixed disk platter is fixed. The replaceable and fixed magnetic disks have two types of multi-disc combination and single-disc structure, and can be divided into fixed magnetic head type and movable magnetic head type. The fixed head type magnetic disk has a small capacity, a low recording density, a high access speed, and a high cost. The movable magnetic head type magnetic disk has high recording density (up to 1000-6250 bit/inch) and thus large capacity, but has low access speed compared with the fixed magnetic head magnetic disk. The storage capacity of the disk product may be up to several hundred megabytes with a bit density of 6250 bits per inch and a track density of 475 tracks per inch. The disk group of the disk memory can be replaced, so that the disk memory has large capacity, large capacity and high speed, can store large-capacity information data, and is widely applied to an online information retrieval system and a database management system.
Embodiment four:
the present disclosure also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above described implementation data processing method when the computer program is executed by the processor.
Fig. 3 is a schematic diagram of an internal structure of an electronic device in one embodiment. As shown in fig. 3, the electronic device includes a processor, a storage medium, a memory, and a network interface connected by a system bus. The storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store a control information sequence, and the computer readable instructions, when executed by the processor, can enable the processor to realize a data processing method. The processor of the electrical device is used to provide computing and control capabilities, supporting the operation of the entire computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform a method of implementing data processing. The network interface of the computer device is for communicating with a terminal connection. It will be appreciated by those skilled in the art that the structure shown in fig. 3 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
The electronic device includes, but is not limited to, a smart phone, a computer, a tablet computer, a wearable smart device, an artificial smart device, a mobile power supply, and the like.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functionality, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (for example, executing remote data read-write programs, etc.), and calling data stored in the memory.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the electronic device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
Further, the electronic device may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices.
Optionally, the electronic device may further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Further, the computer-usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.
Claims (9)
1. A method for implementing data processing, the method comprising:
acquiring a processing request aiming at a target object;
selecting a processing sub-object from target sub-objects included in the target object according to the processing request;
combining the processing sub-objects to obtain a combined sub-object;
acquiring data to be processed corresponding to the combined sub-object;
determining a combined sub-object containing the same processing sub-object as a first processing queue;
determining a combined sub-object that does not contain the same processing sub-object as a second processing queue;
carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object;
the step of carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object, includes:
according to the processing request, carrying out concurrent processing on the data to be processed corresponding to the combined sub-object in the first processing queue and the data to be processed corresponding to the combined sub-object in the second processing queue;
according to the processing request, carrying out serial processing on the data to be processed corresponding to the combined sub-object in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
2. The method of claim 1, wherein the serially processing the data to be processed corresponding to the combined child object in the first processing queue according to the processing request includes:
determining the processing sequence of each combined sub-object in the first processing queue according to the processing request;
and processing the data to be processed corresponding to each combined sub-object in the first processing queue in sequence according to the processing sequence.
3. The method according to claim 1, wherein selecting a processing sub-object from target sub-objects included in the target object according to the processing request includes:
determining a target processing type corresponding to the processing request, wherein the target processing type is one or more of preset processing types;
and selecting a target sub-object corresponding to the target processing type from target sub-objects included in the target object as a processing sub-object.
4. A method according to claim 3, wherein said combining said processing sub-objects to obtain a combined sub-object comprises:
and combining the processing sub-objects corresponding to the same target processing type to obtain a combined sub-object.
5. The method according to claim 3, wherein the concurrently processing the data to be processed according to the processing request, to obtain target data corresponding to the combined sub-object, includes:
acquiring a processing operation mode corresponding to the target processing type;
and carrying out concurrent processing on the data to be processed according to the processing operation mode to obtain target data corresponding to the combined sub-object.
6. The method according to claim 1, wherein the method further comprises:
determining target data corresponding to each processing sub-object according to the target data corresponding to the combined sub-object;
and storing the target object, the processing sub-object and the target data corresponding to the processing sub-object in a line type storage mode.
7. An apparatus for performing data processing, the apparatus comprising:
a first acquisition unit configured to acquire a processing request for a target object;
the selecting unit is used for selecting a processing sub-object from target sub-objects included in the target object according to the processing request;
a combining unit, configured to combine the processing sub-objects to obtain a combined sub-object;
the second acquisition unit is used for acquiring the data to be processed corresponding to the combined sub-object;
a processing unit for determining a combined sub-object containing the same processing sub-object as a first processing queue;
determining a combined sub-object that does not contain the same processing sub-object as a second processing queue;
carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object;
the step of carrying out concurrent processing on the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object, includes:
according to the processing request, carrying out concurrent processing on the data to be processed corresponding to the combined sub-object in the first processing queue and the data to be processed corresponding to the combined sub-object in the second processing queue;
according to the processing request, carrying out serial processing on the data to be processed corresponding to the combined sub-object in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps corresponding to the method for implementing data processing as claimed in any one of claims 1 to 6 when the computer program is executed by the processor.
9. A computer storage medium having stored thereon computer program instructions for implementing the steps corresponding to the data processing method according to any of claims 1 to 6 when said program instructions are executed by a processor.
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| 余肖生，陈鹏，姜艳静.《大数据处理：从采集到可视化》.武汉大学出版社,2020,73-76. * |
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| CN112685189A (en) | 2021-04-20 |
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