CN111090628B - Data processing method and device, storage medium and electronic equipment - Google Patents

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

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Publication number
CN111090628B
CN111090628B CN201911328307.3A CN201911328307A CN111090628B CN 111090628 B CN111090628 B CN 111090628B CN 201911328307 A CN201911328307 A CN 201911328307A CN 111090628 B CN111090628 B CN 111090628B
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data
hash value
index information
stored
index
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CN111090628A (en
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夏炎
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Shanghai Mihayou Network Science And Technology Co ltd
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Shanghai Mihayou Network Science And Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/172Caching, prefetching or hoarding of files
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/13File access structures, e.g. distributed indices
    • G06F16/137Hash-based
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/1737Details of further file system functions for reducing power consumption or coping with limited storage space, e.g. in mobile devices
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

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. By converting the first index information of the data to be stored into the hash value, storing the hash value corresponding to the first index information as the index information of the data to be stored, wherein the memory occupied by the hash value is far smaller than that occupied by the character string, and no duplication exists.

Description

Data processing method and device, storage medium and electronic equipment
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 needs to be stored in electronic devices such as computers and mobile terminals, which results in high 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, so as to reduce 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;
a first hash value calculation module, configured to calculate a 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 serving as an index and generating a storage file.
In a third aspect, an embodiment of the present invention 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 a data processing method according to any embodiment of the present invention when the processor executes the computer program.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer executable instructions which, when executed by a computer processor, implement a data processing method as provided by 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, the situation that repetition exists is avoided, and the memory occupied by the index information can be reduced under the situation that a large amount of data exists, so that the memory occupied by the stored data is relieved.
Drawings
Fig. 1 is a flow chart of a data processing method according to a first embodiment of the present invention;
fig. 2 is a flow chart of a data processing method according to a second embodiment of the present invention;
FIG. 3 is a schematic 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 invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flow chart of a data processing method according to a first embodiment of the present invention, where the method may be implemented by a data processing apparatus according to the first embodiment of the present invention, and 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, acquiring data to be stored and first index information of the data to be stored.
S120, calculating a hash value of the first index information.
And 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 is a great amount of data storage requirements, and in order to facilitate management of stored data, index information is set for each data or each group of data, and exemplary index information may be, but is not limited to, a character string, a kanji, and the like. When the stored data volume is large, the index information occupies a large amount of memory space, and the performance of the device is affected.
The data to be stored may be intermediate data, parameter data, etc. in the development process of the network program, and when the developed network program is an online game, the data to be stored may be scene data, character data, etc. in the online game, and in this embodiment, the data to be stored is not limited.
In this embodiment, first index information is set for each data to be stored, where the first index information of different data to be stored is different. The first index information of the data to be stored is converted into the hash value, and accordingly, the hash values of different data to be stored are different and can be used as the index information of the data to be stored. The electronic device may store a hash value calculation module, which may be a calculation function or a software program, and has a hash value calculation function, so as to quickly calculate the hash value of the first index information.
Optionally, the data type of the hash value is an int type, wherein the number of bytes occupied by the hash value of the int type is 4 bytes, which is far smaller than the memory space occupied by the character string, and the memory space occupied by the character string is generally 20 bytes. Taking 10 ten thousand data as an example, 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 thousands of data is 4×100000/1024/1024=0.38 MB, and the memory occupied by the index information is reduced by 80%, so that the memory occupied by the index information is reduced.
In this embodiment, the storing the data may be based on a mapping table, where storing the data to be stored based on the hash value as an index, and generating 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 the 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 a one-to-one correspondence, and 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 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 situation that repetition exists is avoided, and under the situation that a large amount of data exists, the memory occupied by the index information can be reduced, 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, where the data processing method is optimized based on the foregoing embodiment, and the method specifically includes:
s210, acquiring data to be stored and first index information of the data to be stored.
S220, calculating a hash value of the first index information.
And S230, storing the data to be stored based on the hash value as an index, and generating a storage file.
S240, acquiring second index information of the data to be queried.
S250, calculating the hash value of the second index information.
And S260, matching is carried out in the storage file based on the hash value of the second index information, and data corresponding to the hash value successfully matched in the storage file is determined to be target data to be queried.
When the data is queried based on the hash value of the second index information, the hash value of the first index information is used as index information to query the data. 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. And matching the hash value of the second index information in the storage file, for example, the hash value can be matched in the index storage position of the mapping table, when the matching fails, determining that the data corresponding to the second index information does not exist in the storage file, and when the matching is successful, determining the data corresponding to the hash value successfully matched in the storage file as target data, reading the target data and outputting the target data.
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, accordingly, in the data query process, the hash value based on the second index information of the data to be queried is used as the index information to query, and the target data is rapidly output. The memory occupied when a large amount of data is stored is reduced, the hash value is calculated simply and quickly on the basis of reducing the memory occupation, the situation of repetition does not exist, and the management quality of the data is improved.
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 for an index based on the hash value, and generate a storage file.
Optionally, the data type of the hash value is an 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 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 queried;
a second hash value calculation module, configured to calculate a 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 the data corresponding to the hash value successfully matched 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 modules and beneficial effects 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 merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 4, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
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 or write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set of program modules configured to carry out the functions of embodiments of the invention.
Programs/utilities 44 having a set of program modules 46 may be stored in, for example, 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 or some combination of which may include an implementation of a network environment. Program modules 46 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing 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 running programs stored in the system memory 28, for example, implementing a data processing method provided by an embodiment of the present invention.
Of course, those skilled in the art will appreciate that the processor may also implement the technical solution of a data processing method provided in any embodiment of the present invention.
Example five
The fifth embodiment of the present invention further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a data processing method as provided by the embodiments of the present invention, the 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.
Of course, the computer readable storage medium provided by the embodiments of the present invention, on which the computer program stored, is not limited to the above method operations, but may also perform the related operations in a data processing method provided by any of the embodiments of the present invention.
The computer storage media of embodiments of the invention may take the form of 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any 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 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.
The computer readable signal medium may include a video clip, a feature code of a second video, a feature code of each video clip, etc., in which the computer readable program code is embodied. Such propagated video segments, feature encoding of the second video, feature encoding of each video segment, 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 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 ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected 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, each module included is only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (8)

1. A method of data processing, 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;
storing the data to be stored based on the hash value as an index to generate a storage file;
the data processing method further comprises the following steps:
acquiring second index information of data to be queried;
calculating a hash value of the second index information;
and matching the hash value of the second index information in the storage file, and determining the data corresponding to the hash value successfully matched in the storage file as target data to be queried.
2. The method of claim 1, wherein the data type of the hash value is an int type.
3. The method of claim 1, wherein storing the data to be stored for an index based on the hash value, generating 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 of claim 3, wherein the mapping table includes an index storage location and a data storage location, wherein adding the hash value and the data to be stored corresponding to the hash value to the mapping table comprises:
and adding the hash value to an index storage position, and adding 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, wherein the first index information or the second index information comprises a string.
6. 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;
a first hash value calculation module, configured to calculate a hash value of the first index information;
the data storage module is used for storing the data to be stored based on the hash value serving as an index and generating a storage file;
the data processing apparatus further includes:
the second index information acquisition module is used for acquiring second index information of the data to be queried;
a second hash value calculation module, configured to calculate a 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 the data corresponding to the hash value successfully matched in the storage file as target data to be queried.
7. 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 1-5 when executing the computer program.
8. 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 5.
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