CN112685189A - 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; according to the processing request, selecting a processing sub-object from target sub-objects included in the target object; 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, a 'line type' persistent storage scheme is adopted between the account main body and the sub-accounts, so that the expandability of the system is improved. And carrying out configuration management on a plurality of transaction scenes and account accounting rules, and storing by using a cache device. Dynamic expansion can be performed as trading scenarios increase.
Description
Technical Field
The present disclosure relates to the field of internet financial technologies, and more particularly, to a method, an apparatus, a device, and a medium for implementing data processing.
Background
Under the background of rapid development of internet technology and online transaction business, each company can establish its own online transaction business. Meanwhile, the services such as recharging, payment, cash withdrawal, score clearing, settlement and the like provided by the user and the merchant are required to support high-concurrency multi-transaction, so that the transaction service can be simultaneously provided for supporting more users or merchants.
On one hand, the account billing requirement of high-concurrency multi-transaction scenes is continuously met, on the other hand, the data processing logic is closely related to transaction scene services, and consistency needs to be achieved.
In order to satisfy account billing in various transaction scenarios, a user or a merchant may not only have one account, but also have multiple sub-accounts, such as wallets, freezes, liquidations, and to-be-settled accounts.
In the prior art, a 'column type' persistent storage scheme is adopted between an account main body and a plurality of sub-accounts, and account billing adopts 'optimistic lock' or 'distributed lock' to perform concurrent control on the account main body. This results in that one account main body can only perform accounting service in one transaction scenario at the same time, and as the transaction scenarios increase, the extended maintenance of the account becomes difficult.
Disclosure of Invention
The method aims to solve the technical problem that account maintenance is difficult due to increase of transaction services 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;
according to the processing request, selecting a processing sub-object from target sub-objects included in the target object;
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 concurrent processing is performed on the data to be processed 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 not containing the same processing sub-object as a second processing queue;
the concurrently processing the data to be processed according to the processing request to obtain the target data corresponding to the combined sub-object, including:
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, serially processing to-be-processed data corresponding to the combined sub-objects in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
Further, the performing serial processing on the to-be-processed data 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, 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 the 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 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 by adopting a line type storage mode.
To achieve the above technical object, the present disclosure can also provide 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 the target sub-objects included in the target object according to the processing request;
the combination unit is used for combining 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 objects, the present disclosure can also provide a computer storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the above steps of implementing the data processing method.
In order to achieve the above technical object, the present disclosure further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of implementing the data processing method when executing the computer program.
The beneficial effect of this disclosure does:
1. a 'line type' persistent storage scheme is adopted between the account main body and the sub-accounts, and the expandability of the system is improved.
2. And carrying out configuration management on a plurality of transaction scenes and account accounting rules, and storing by using a cache device. Dynamic expansion can be performed as trading scenarios increase.
3. And in the aspect of account billing consistency, a design method of a sub-account joint key combination distributed queue related to a transaction scene is adopted, and the minimum granularity is controlled 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 illustrative only and is not intended to limit the scope of the present disclosure. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
Various structural schematics according to embodiments of the present disclosure are shown in the figures. The figures are not drawn to scale, wherein certain details are exaggerated and possibly omitted for clarity of presentation. The shapes of various regions, layers, and relative sizes and positional relationships therebetween shown in the drawings are merely exemplary, and deviations may occur in practice due to manufacturing tolerances or technical limitations, and a person skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions, as actually required.
The first embodiment is as follows:
as shown in fig. 1:
the present disclosure can also provide a method for implementing data processing, including:
s1: acquiring a processing request aiming at a target object;
s2: according to the processing request, selecting a processing sub-object from target sub-objects included in the target object;
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 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 not containing the same processing sub-object as a second processing queue;
the concurrently processing the data to be processed according to the processing request to obtain the target data corresponding to the combined sub-object, including:
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, serially processing to-be-processed data corresponding to the combined sub-objects in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
Specifically, the performing serial processing on the to-be-processed data 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 the 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 concurrently processing the data to be processed according to the processing request to obtain the 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 by adopting a line type storage mode.
Example two:
as shown in figure 3 of the drawings,
the present disclosure can also provide an apparatus for implementing data processing, including:
a first acquisition unit 201 configured to acquire a processing request for a target object;
an 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 to-be-processed data corresponding to the combined sub-object;
the processing unit 205 is configured to perform concurrent processing on the to-be-processed data 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.
Example three:
the present disclosure can also provide a computer storage medium having stored thereon a computer program for implementing the steps of the data processing method described above when executed by a processor.
The computer storage medium of the present disclosure may be implemented with a semiconductor memory, a magnetic core memory, a magnetic drum memory, or a magnetic disk memory.
Semiconductor memories are mainly used as semiconductor memory elements of computers, and there are two types, Mos and bipolar memory elements. Mos devices have high integration, simple process, but slow speed. The bipolar element has the advantages of complex process, high power consumption, low integration level and high speed. NMos and CMos were introduced to make Mos memory dominate in semiconductor memory. NMos is fast, e.g. 45ns for 1K bit sram from intel. The CMos power consumption is low, and the access time of the 4K-bit CMos static memory is 300 ns. The semiconductor memories described above are all Random Access Memories (RAMs), i.e. read and write new contents randomly during operation. And a semiconductor Read Only Memory (ROM), which can be read out randomly but cannot be written in during operation, is used to store solidified programs and data. The ROM is classified into a non-rewritable fuse type ROM, PROM, and a rewritable EPROM.
The magnetic core memory has the characteristics of low cost and high reliability, and has more than 20 years of practical use experience. Magnetic core memories were widely used as main memories before the mid 70's. The storage capacity can reach more than 10 bits, and the access time is 300ns at the fastest speed. The typical international magnetic core memory has a capacity of 4 MS-8 MB and an access cycle of 1.0-1.5 mus. After semiconductor memory is rapidly developed to replace magnetic core memory as a main memory location, magnetic core memory can still be applied as a large-capacity expansion memory.
Drum memory, an external memory for magnetic recording. Because of its fast information access speed and stable and reliable operation, it is being replaced by disk memory, but it is still used as external memory for real-time process control computers and medium and large computers. In order to meet the needs of small and micro computers, subminiature magnetic drums have emerged, which are small, lightweight, highly reliable, and convenient to use.
Magnetic disk memory, an external memory for magnetic recording. It combines the advantages of drum and tape storage, i.e. its storage capacity is larger than that of drum, its access speed is faster than that of tape storage, and it can be stored off-line, so that the magnetic disk is widely used as large-capacity external storage in various computer systems. Magnetic disks are generally classified into two main categories, hard disks and floppy disk memories.
Hard disk memories are of a wide variety. The structure is divided into a replaceable type and a fixed type. The replaceable disk is replaceable and the fixed disk is fixed. The replaceable and fixed magnetic disks have both multi-disk combinations and single-chip structures, and are divided into fixed head types and movable head types. The fixed head type magnetic disk has a small capacity, a low recording density, a high access speed, and a high cost. The movable head type magnetic disk has a high recording density (up to 1000 to 6250 bits/inch) and thus a large capacity, but has a low access speed compared with a fixed head magnetic disk. The storage capacity of a magnetic disk product can reach several hundred megabytes with a bit density of 6250 bits per inch and a track density of 475 tracks per inch. The disk set of the multiple replaceable disk memory can be replaced, so that the disk set has large off-body 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.
Example four:
the present disclosure also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of implementing the data processing method described above are implemented.
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 through a system bus. The storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions can make the processor realize a method for realizing data processing when being executed by the processor. The processor of the electrical device is used to provide computing and control capabilities to support 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, may cause the processor to perform a method of implementing data processing. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those 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, a wearable smart device, an artificial smart device, a mobile power source, and the like.
The processor may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor is a Control Unit of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (for example, executing remote data reading and writing programs, etc.) stored in the memory and calling data stored in the memory.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connected communication between the memory and at least one processor or the like.
Fig. 3 shows only an electronic device having components, and those skilled in the art will appreciate that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor through a power management device, so that functions such as charge management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally 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 (Display), an input unit (such as a Keyboard), and optionally 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 device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized 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 according to the use of the blockchain node, and the like.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
The embodiments of the present disclosure have been 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 devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A method for implementing data processing, the method comprising:
acquiring a processing request aiming at a target object;
according to the processing request, selecting a processing sub-object from target sub-objects included in the target object;
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.
2. The method according to claim 1, wherein before the concurrently processing the data to be processed according to the processing request to obtain the target data corresponding to the combined sub-object, the method further comprises:
determining a combined sub-object containing the same processing sub-object as a first processing queue;
determining a combined sub-object not containing the same processing sub-object as a second processing queue;
the concurrently processing the data to be processed according to the processing request to obtain the target data corresponding to the combined sub-object, including:
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, serially processing to-be-processed data corresponding to the combined sub-objects in the first processing queue;
and obtaining target data corresponding to the combined sub-object.
3. The method according to claim 2, wherein the performing serial processing on the to-be-processed data 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.
4. The method according to claim 1, wherein the selecting a processing sub-object from the target sub-objects included in the target object according to the processing request comprises:
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 the target sub-objects included in the target object as a processing sub-object.
5. The method of claim 4, wherein combining the processed 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.
6. The method according to claim 4, wherein the concurrently processing the data to be processed according to the processing request to obtain target data corresponding to the combined sub-object comprises:
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.
7. The method of claim 1, further comprising:
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 by adopting a line type storage mode.
8. An apparatus for implementing 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 the target sub-objects included in the target object according to the processing request;
the combination unit is used for combining 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.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the steps corresponding to the method for implementing data processing as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer storage medium having computer program instructions stored thereon, wherein the program instructions, when executed by a processor, are adapted to implement the steps corresponding to the method for data processing as claimed in any one of claims 1 to 7.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677771A (en) * | 2012-09-06 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Processing method and device for concurrent transactions |
| CN105447604A (en) * | 2014-08-04 | 2016-03-30 | 阿里巴巴集团控股有限公司 | Account processing method and device |
| CN106503990A (en) * | 2016-10-17 | 2017-03-15 | 珠海格力电器股份有限公司 | A kind of transaction processing method and mobile device |
| CN107230092A (en) * | 2016-03-24 | 2017-10-03 | 阿里巴巴集团控股有限公司 | Accounting processing method, device and server |
| CN108615184A (en) * | 2018-03-29 | 2018-10-02 | 阿里巴巴集团控股有限公司 | A kind of method and device of book keeping operation |
| CN110990143A (en) * | 2019-12-13 | 2020-04-10 | 江苏满运软件科技有限公司 | Task processing method, system, electronic device and storage medium |
| CN111429244A (en) * | 2020-03-25 | 2020-07-17 | 深圳前海移联科技有限公司 | Unified accounting method capable of improving accounting performance |
| CN111611050A (en) * | 2020-04-27 | 2020-09-01 | 腾讯科技（深圳）有限公司 | Information processing method, device, equipment and storage medium |
| CN111861717A (en) * | 2020-07-24 | 2020-10-30 | 中国建设银行股份有限公司 | Contract account management method, device, equipment and storage medium |
-
2020
- 2020-12-24 CN CN202011553800.8A patent/CN112685189B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677771A (en) * | 2012-09-06 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Processing method and device for concurrent transactions |
| CN105447604A (en) * | 2014-08-04 | 2016-03-30 | 阿里巴巴集团控股有限公司 | Account processing method and device |
| CN107230092A (en) * | 2016-03-24 | 2017-10-03 | 阿里巴巴集团控股有限公司 | Accounting processing method, device and server |
| CN106503990A (en) * | 2016-10-17 | 2017-03-15 | 珠海格力电器股份有限公司 | A kind of transaction processing method and mobile device |
| CN108615184A (en) * | 2018-03-29 | 2018-10-02 | 阿里巴巴集团控股有限公司 | A kind of method and device of book keeping operation |
| CN110990143A (en) * | 2019-12-13 | 2020-04-10 | 江苏满运软件科技有限公司 | Task processing method, system, electronic device and storage medium |
| CN111429244A (en) * | 2020-03-25 | 2020-07-17 | 深圳前海移联科技有限公司 | Unified accounting method capable of improving accounting performance |
| CN111611050A (en) * | 2020-04-27 | 2020-09-01 | 腾讯科技（深圳）有限公司 | Information processing method, device, equipment and storage medium |
| CN111861717A (en) * | 2020-07-24 | 2020-10-30 | 中国建设银行股份有限公司 | Contract account management method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 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, pages: 73 - 76 * |
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