CN111090628A - Data processing method and device, storage medium and electronic equipment - Google Patents
Data processing method and device, storage medium and electronic equipment Download PDFInfo
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- CN111090628A CN111090628A CN201911328307.3A CN201911328307A CN111090628A CN 111090628 A CN111090628 A CN 111090628A CN 201911328307 A CN201911328307 A CN 201911328307A CN 111090628 A CN111090628 A CN 111090628A
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- 238000003672 processing method Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000013507 mapping Methods 0.000 claims description 21
- 238000013500 data storage Methods 0.000 claims description 17
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 8
- 230000006870 function Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
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- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/172—Caching, prefetching or hoarding of files
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
- G06F16/137—Hash-based
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1737—Details of further file system functions for reducing power consumption or coping with limited storage space, e.g. in mobile devices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a data processing method, a data processing device, a storage medium and electronic equipment. The method comprises the following steps: acquiring data to be stored and first index information of the data to be stored; calculating a hash value of the first index information; and storing the data to be stored based on the hash value as an index to generate a storage file. The first index information of the data to be stored is converted into the hash value, the hash value corresponding to the first index information is used as the index information of the data to be stored for storage, the memory occupied by the hash value is far smaller than the data occupied by the character string, the repeated condition does not exist, and the memory occupied by the index information can be reduced under the condition that a large amount of data exists, so that the memory occupied by the stored data is relieved.
Description
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, a storage medium and electronic equipment.
Background
With the continuous development of computer and mobile terminal technologies, more and more data need to be stored in electronic devices such as computers and mobile terminals, which results in large memory overhead of the electronic devices.
Disclosure of Invention
The invention provides a data processing method, a data processing device, a storage medium and electronic equipment, which are used for reducing the memory occupied by data storage.
In a first aspect, an embodiment of the present invention provides a data processing method, including:
acquiring data to be stored and first index information of the data to be stored;
calculating a hash value of the first index information;
and storing the data to be stored based on the hash value as an index to generate a storage file.
In a second aspect, an embodiment of the present invention further provides a data processing apparatus, including:
the first index information acquisition module is used for acquiring data to be stored and first index information of the data to be stored;
the first hash value calculation module is used for calculating the hash value of the first index information;
and the data storage module is used for storing the data to be stored based on the hash value as an index to generate a storage file.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement a data processing method according to any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, where the computer-executable instructions, when executed by a computer processor, implement a data processing method as provided in any of the embodiments of the present invention.
According to the technical scheme provided by the embodiment of the invention, the first index information of the data to be stored is converted into the hash value, the hash value corresponding to the first index information is used as the index information of the data to be stored for storage, the memory occupied by the hash value is far smaller than the data occupied by the character string, and the repeated situation does not exist, so that the memory occupied by the index information can be reduced under the condition that a large amount of data exists, and the memory occupied by the stored data is relieved.
Drawings
Fig. 1 is a schematic flowchart of a data processing method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a data processing method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data processing apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to 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 method is applicable to a situation where memory occupied by data storage is reduced, and the method may be executed by a data processing apparatus according to an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware-based manner, and the apparatus may be integrated in an electronic device such as a computer or a server. The method specifically comprises the following steps:
s110, obtaining data to be stored and first index information of the data to be stored.
And S120, calculating a hash value of the first index information.
S130, storing the data to be stored based on the hash value as an index, and generating a storage file.
In this embodiment, in the development process of the network program, there are a large number of data storage requirements, and in order to facilitate management of the stored data, index information is set for each data or each group of data, and for example, the index information may be, but is not limited to, a character string, a chinese character, and the like. When the amount of stored data is large, the index information occupies a large amount of memory space, which affects the performance of the device.
The data to be stored may be intermediate data, parameter data, and the like in the process of developing the network program, and exemplarily, when the developed network program is a network game, the data to be stored may be scene data, role data, and the like in the network game.
In this embodiment, first index information is set for each piece of data to be stored, where the first index information of different pieces of data to be stored is different. By converting the first index information of the data to be stored into the hash value, the hash value of different data to be stored is different and can be used as the index information of the data to be stored. The electronic device may store therein a hash value calculation module, and the hash value calculation module may be a calculation function or a software program, has a hash value calculation function, and can quickly calculate the hash value of the first index information.
Optionally, the data type of the hash value is an int type, where a number of bytes occupied by the hash value of the int type is 4 bytes, which is much smaller than a memory space occupied by the character string, and the memory space occupied by the character string is generally 20 bytes. Taking the example of storing 10 ten thousand data, each data is configured with a bit of first index data, and when the first index information is a character string, the memory space occupied by the index information of the 10 ten thousand data is 20 × 100000 ÷ 1024 ÷ 1024 ═ 1.9 MB; when the hash value of the first index information is calculated as the index information, the memory space occupied by the index information of 10 ten thousand data is 4 multiplied by 100000 divided by 1024 which is 0.38MB, so that the memory occupied by the index information is reduced by 80%, and the memory occupied is reduced.
In this embodiment, the storing data based on a mapping table, where the storing the data to be stored based on the hash value as an index to generate a storage file includes: creating a mapping table; and adding the hash value and the data to be stored corresponding to the hash value to the mapping table, wherein the hash value and the data corresponding to the hash value have a mapping relation.
Wherein, the type of the mapping table is int type. Optionally, the mapping table includes an index storage location and a data storage location, where the index storage location and the data storage location may be in one-to-one correspondence, and correspondingly, the adding the hash value and the data to be stored corresponding to the hash value to the mapping table includes: and adding the hash value to an index storage position, and adding the data to be stored corresponding to the hash value to a data storage position with a mapping relation with the index storage position.
According to the technical scheme, the first index information of the data to be stored is converted into the hash value, the hash value corresponding to the first index information is used as the index information of the data to be stored for storage, the memory occupied by the hash value is far smaller than the data occupied by the character string, the repetition condition does not exist, and the memory occupied by the index information can be reduced under the condition that a large amount of data exists, so that the memory occupied by the stored data is relieved.
Example two
Fig. 2 is a schematic flow chart of a data processing method according to a second embodiment of the present invention, which is optimized based on the second embodiment, and the method specifically includes:
s210, data to be stored and first index information of the data to be stored are obtained.
And S220, calculating the hash value of the first index information.
And S230, storing the data to be stored based on the hash value as an index to generate a storage file.
S240, second index information of the data to be inquired is obtained.
And S250, calculating a hash value of the second index information.
And S260, matching the hash value based on the second index information in the storage file, and determining data corresponding to the successfully matched hash value in the storage file as target data to be inquired.
On the basis that the data is stored based on the hash value of the first index information as the index information, when the data is queried, the query can be performed based on the hash value of the second index information as the index information. The second index information is a character string index of the data to be queried, and a hash value of the second index information is calculated through a hash value calculation module arranged in the electronic equipment. The hash value of the second index information is matched in the storage file, for example, the hash value may be matched at an index storage location of a mapping table, when the matching fails, it is determined that the data corresponding to the second index information does not exist in the storage file, and when the matching succeeds, the data corresponding to the hash value that is successfully matched in the storage file is determined as target data, and the target data is read and output.
According to the technical scheme provided by the embodiment, the index information is converted into the hash value, the data to be stored is stored based on the hash value, correspondingly, in the data query process, the hash value based on the second index information of the data to be queried is queried for the index information, and the target data is rapidly output. The method reduces the memory occupied by a large amount of data during data storage, and on the basis of reducing the memory occupation, the hash value has the advantages of simple calculation process, high speed and no repeated condition, and improves the management quality of the data.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a data processing apparatus according to a third embodiment of the present invention, where the apparatus includes:
a first index information obtaining module 310, configured to obtain data to be stored and first index information of the data to be stored;
a first hash value calculation module 320, configured to calculate a hash value of the first index information;
and the data storage module 330 is configured to store the data to be stored based on the hash value as an index, and generate a storage file.
Optionally, the data type of the hash value is int type.
Optionally, the data storage module 330 includes:
a mapping table creating unit for creating a mapping table;
and the data storage unit is used for adding the hash value and the data to be stored corresponding to the hash value to the mapping table, wherein the hash value and the data corresponding to the hash value have a mapping relation.
Optionally, the mapping table includes an index storage location and a data storage location.
Accordingly, the data storage unit is configured to:
and adding the hash value to an index storage position, and adding the data to be stored corresponding to the hash value to a data storage position with a mapping relation with the index storage position.
On the basis of the above embodiment, the apparatus further includes:
the second index information acquisition module is used for acquiring second index information of the data to be inquired;
the second hash value calculation module is used for calculating the hash value of the second index information;
and the data query module is used for matching in the storage file based on the hash value of the second index information, and determining data corresponding to the successfully matched hash value in the storage file as target data to be queried.
Optionally, the first index information or the second index information includes a character string.
The data processing device provided by the embodiment of the invention can execute the data processing method provided by any embodiment of the invention, and has the corresponding functional module and the beneficial effect of executing the data processing method.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 4 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 4, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, 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 CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 44 having a set of program modules 46 may be stored, for example, in memory 28, such program modules 46 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 46 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement a data processing method provided by an embodiment of the present invention, the method including:
acquiring data to be stored and first index information of the data to be stored;
calculating a hash value of the first index information;
and storing the data to be stored based on the hash value as an index to generate a storage file.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement a data processing method provided by an embodiment of the present invention.
Of course, those skilled in the art can understand that the processor can also implement the technical solution of the data processing method provided by any embodiment of the present invention.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a data processing method provided in an embodiment of the present invention, where the method includes:
acquiring data to be stored and first index information of the data to be stored;
calculating a hash value of the first index information;
and storing the data to be stored based on the hash value as an index to generate a storage file.
Of course, the computer program stored on the computer-readable storage medium provided by the embodiments of the present invention is not limited to the above method operations, and may also perform related operations in a data processing method provided by any embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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 context of this document, 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, or device.
A computer readable signal medium may include a video clip, feature encoding of a second video, feature encoding of respective video clips, etc., having computer readable program code embodied therein. Such forms of the broadcast video clip, feature encoding of the second video, feature encoding of each video clip, and the like. 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, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as 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).
It should be noted that, in the embodiment of the video processing apparatus, the modules included in the embodiment are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
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 data to be stored and first index information of the data to be stored;
calculating a hash value of the first index information;
and storing the data to be stored based on the hash value as an index to generate a storage file.
2. The method of claim 1, wherein the data type of the hash value is int type.
3. The method according to claim 1, wherein the storing the data to be stored based on the hash value as an index to generate a storage file comprises:
creating a mapping table;
and adding the hash value and the data to be stored corresponding to the hash value to the mapping table, wherein the hash value and the data corresponding to the hash value have a mapping relation.
4. The method according to claim 3, wherein the mapping table includes an index storage location and a data storage location, and wherein adding the hash value and the data to be stored corresponding to the hash value to the mapping table includes:
and adding the hash value to an index storage position, and adding the data to be stored corresponding to the hash value to a data storage position with a mapping relation with the index storage position.
5. The method of claim 1, further comprising:
acquiring second index information of the data to be queried;
calculating a hash value of the second index information;
and matching in the storage file based on the hash value of the second index information, and determining data corresponding to the hash value successfully matched in the storage file as target data to be inquired.
6. The method according to claim 1 or 5, wherein the first index information or the second index information includes a character string.
7. A data processing apparatus, comprising:
the first index information acquisition module is used for acquiring data to be stored and first index information of the data to be stored;
the first hash value calculation module is used for calculating the hash value of the first index information;
and the data storage module is used for storing the data to be stored based on the hash value as an index to generate a storage file.
8. The apparatus of claim 7, further comprising:
the second index information acquisition module is used for acquiring second index information of the data to be inquired;
the second hash value calculation module is used for calculating the hash value of the second index information;
and the data query module is used for matching in the storage file based on the hash value of the second index information, and determining data corresponding to the successfully matched hash value in the storage file as target data to be queried.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a data processing method according to any of claims 1-6 when executing the computer program.
10. A storage medium containing computer-executable instructions, which when executed by a computer processor implement a data processing method as claimed in any one of claims 1 to 6.
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| CN111666421A (en) * | 2020-06-03 | 2020-09-15 | 北京声智科技有限公司 | Data processing method and device and electronic equipment |
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| CN111858604A (en) * | 2020-07-24 | 2020-10-30 | 平安证券股份有限公司 | Data storage method and device, electronic equipment and storage medium |
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| CN114237508A (en) * | 2021-12-16 | 2022-03-25 | 中国农业银行股份有限公司 | Data storage method, device, equipment and storage medium |
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| CN114594964B (en) * | 2022-03-10 | 2022-10-11 | 北京熵核科技有限公司 | Method and device for generating output constant pool of software package |
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