CN112527745B - Embedded file system multi-partition analysis method, terminal device and storage medium - Google Patents

Embedded file system multi-partition analysis method, terminal device and storage medium Download PDF

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Publication number
CN112527745B
CN112527745B CN202011505990.6A CN202011505990A CN112527745B CN 112527745 B CN112527745 B CN 112527745B CN 202011505990 A CN202011505990 A CN 202011505990A CN 112527745 B CN112527745 B CN 112527745B
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data
file system
partition
file
node
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CN112527745A (en
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钟臻
沈长达
黄志炜
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Xiamen Meiya Pico Information Co Ltd
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Xiamen Meiya Pico Information 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
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • 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
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0638Organizing or formatting or addressing of data
    • G06F3/064Management of blocks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0638Organizing or formatting or addressing of data
    • G06F3/0644Management of space entities, e.g. partitions, extents, pools
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0646Horizontal data movement in storage systems, i.e. moving data in between storage devices or systems
    • G06F3/0652Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0668Interfaces specially adapted for storage systems adopting a particular infrastructure
    • G06F3/0671In-line storage system
    • G06F3/0673Single storage device
    • G06F3/0679Non-volatile semiconductor memory device, e.g. flash memory, one time programmable memory [OTP]
    • 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

Abstract

The invention relates to a multi-partition analysis method of an embedded file system, terminal equipment and a storage medium, wherein the method is based on an embedded file system garbage recovery mechanism and node characteristics, takes an erasing block as a unit, combines verification of file system metadata node parameters and the like, realizes extraction of continuous erasing block data (blocks) of the embedded file system, performs matching verification by using a directory between continuous erasing blocks and data page node parameters, and realizes merging of embedded file system data of each partition so as to achieve the purpose of extraction and analysis of partition data of the file system. The invention can realize the extraction of the data of each partition to the maximum extent and provides a basis for the analysis of a file system.

Description

Embedded file system multi-partition analysis method, terminal device and storage medium
Technical Field
The invention relates to the field of embedded file systems, in particular to a multi-partition analysis method of an embedded file system, terminal equipment and a storage medium.
Background
JFFS2/YAFFS2 is widely applied to embedded systems as a very widely used embedded file system on FLASH FLASH. Because the embedded file system JFFS2/YAFFS2 storage device does not have partition index information, but the loading position of the partition is planned in advance in the program code, when the multi-partition JFFS2/YAFFS2 file system data exists in the flash memory, the starting and ending demarcation points of the partition cannot be determined, so that the node confusion of the multi-partition file cannot be caused, and the file system cannot be normally analyzed.
Disclosure of Invention
In order to solve the above problems, the present invention provides a multi-partition parsing method for an embedded file system, a terminal device, and a storage medium.
The specific scheme is as follows:
a multi-partition analysis method for an embedded file system comprises the following steps:
s1: acquiring mirror image data of the flash memory equipment, and acquiring the size of a storage block according to the type of a flash memory chip;
s2: sequentially reading the erasing blocks from the mirror image data according to the size of the storage blocks;
s3: reading the head data of the read erasing block, judging whether file system node information exists in the head data, if so, setting the erasing block as a used erasing block, and entering S4; otherwise, returning to S2 to re-read the next erase block;
s4: extracting file directory nodes and data nodes from used erase blocks;
s5: judging whether a partition set exists, and if so, entering S6; otherwise, go to S7;
s6: judging whether the extracted file directory node and data node are matched with the file directory node and data node of the used erasing block in each partition set, if so, adding the used erasing block into the matched partition set, and entering S8; if the file directory node and the data node of the used erasure block in all the partition sets are not matched, the step S7 is carried out;
s7: creating a new partition set, and adding the used erase block into the new partition set;
s8: judging whether the erasing block in the mirror image data is read completely, if so, entering S9; otherwise, returning to S2 to re-read the next erase block;
s9: and aiming at each partition set, extracting file directory nodes and data nodes from the used erase blocks of the file systems in the partition set, and constructing a complete partition directory structure and sector mapping according to the relationship between the file directory nodes and the data nodes.
Further, when the file system of the mirrored data is the JFFS2 file system, the file directory nodes thereof include: directory node number, version number, current node number, plug-in time, file directory name and length; the data node includes: file data number, creation time, modification time, access time, and data compression type.
Further, when the file system of the mirror data is YAFFS2 file system, the file directory node includes: the file type, the ID of the parent node and the child node, the name of a file directory, the creation time, the modification time and the access time; the data node includes: the ID number of the file to which the data block belongs, the serial number of the data block, the data length and the like.
An embedded file system multi-partition parsing terminal device includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of the method described above when executing the computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above for embodiments of the invention.
According to the technical scheme, by utilizing the file directory node characteristics, the load balance and the garbage recovery mechanism of the JFFS2/YAFFS2 embedded file system, the boundary range of multiple partitions is determined by matching and analyzing the node parameters of the file system with the continuous erase blocks, so that the extraction and analysis of data of each partition are achieved.
Drawings
Fig. 1 is a diagram illustrating a physical and partition structure of an embedded file system flash memory according to an embodiment of the present invention.
FIG. 2 is a diagram of a data structure of unused erase blocks that can be used in one embodiment of the present invention.
Fig. 3 is a data structure diagram of an erased block JFFS2 according to an embodiment of the present invention.
FIG. 4 is a block diagram of the YAFFS2 partition of a used erase block according to one embodiment of the present invention.
Fig. 5 is a schematic diagram illustrating a partition extracting process according to an embodiment of the present invention.
FIG. 6 is a flowchart illustrating a method according to an embodiment of the invention.
Fig. 7 is a schematic diagram illustrating a result of the first partition mirror image analysis according to the first embodiment of the present invention.
Fig. 8 is a schematic diagram illustrating a second partition mirroring analysis result according to an embodiment of the invention.
Detailed Description
To further illustrate the various embodiments, the present invention provides the accompanying figures. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the drawings and the detailed description.
The first embodiment is as follows:
in an actual embedded device application, in order to meet storage requirements of different data types, a plurality of partitions are divided at a logical level, for example, a root file system partition is mainly used for storing executable application programs, and for pictures, logs, databases and other data are stored in other partitions, so that a plurality of JFFS2/YAFFS2 file system partitions often exist in a flash memory.
As shown in fig. 1, for FLASH memory FLASH, the erase block is an erasable basic unit, and its page can be further divided into a data area and an OOB backup area, for YAFFS2 file system, the OOB backup area of the page included in the erase block stores the same erase block number corresponding to the erase block, and when an erase block is erased, the value of the OOB backup area of the page included in the erase block is all 0 XFF.
As shown in fig. 2, when an erase block is not used, the data stored in all pages of the erase block is 0XFF (including OOB area), and such unused erase block is commonly present in a critical location of each partition, and based on the flash load balancing feature, it is also randomly present in other locations in the file system area.
As shown in fig. 3, the used erase block of the JFFS2 file system includes a file directory node and a data node structure, where the file directory node includes a common header parameter, a file directory node ID, a node version number, a creation time, a file directory name, a length, and the like; the data node comprises common header parameters, a data number (affiliated file ID) of a file to which the current data belongs, a node version number, creation time, modification time, access time, a data compression type and the like.
As shown in fig. 4, the YAFFS2 file system includes an object header page, a data page. The data area of the object head page mainly comprises an object type (directory, file, soft and hard link and the like), a father node ID, a file size, an object name, creation time, modification time, access time and the like, and the data area tail part is an OOB backup area which stores the current storage erasing block serial number, the current object ID number, the current file sub-block ID, the sub-block length and the like. The data area of the data page stores the content of the object file to which the data page belongs, the tail part of the data area is an OOB backup area, and the serial number of the current storage erasing block, the object ID number of the file to which the data page belongs, the ID of the sub-block under the current file, the length of the sub-block and the like are also stored.
Based on the node characteristics of the file system, and according to the load balancing algorithm data remote updating and garbage recycling mechanism of the embedded file system, the characteristics that the file directory node information matched with different areas in the same partition range exists are provided, an embodiment of the invention provides a multi-partition analysis method of the embedded file system, and referring to fig. 5 and 6, the method comprises the following steps:
s1: and acquiring mirror image data of the flash memory equipment, and acquiring the size of the storage block according to the model of the flash memory chip.
S2: and sequentially reading the erasing blocks from the mirror image data according to the size of the storage block.
S3: reading the header data of the read erase block, judging whether file system node information exists in the header data, if so, setting the erase block as a used erase block, and entering S4; otherwise, return to S2 to re-read the next erase block.
The file system node information comprises parameters such as Magic, node head CRC check codes, file types and the like.
S4: the file directory nodes and data nodes are extracted from the used erase blocks.
The JFFS2 file system differs from the YAFFS2 file system in the contents of the extracted file directory nodes and data nodes.
For the FFS2 file system, the file directory node includes: directory node number, version number, current node number, plug-in time, file directory name and length, etc.; the data node includes: file data number, creation time, modification time, access time, data compression type, etc.
For the YAFFS2 file system, the file directory node includes: file type, parent-child node ID, file directory name, creation time, modification time, access time and the like; the data node includes: the ID number of the file to which the data block belongs, the serial number of the data block, the data length and the like.
S5: judging whether a partition set exists, and if so, entering S6; otherwise, the process proceeds to S7.
S6: judging whether the extracted file directory node and data node are matched with the file directory node and data node of the used erasing block in each partition set, if so, adding the used erasing block into the matched partition set, and entering S8; if there is no match with the file directory node and data node of the used erase block in all partition sets, S7 is entered.
S7: a new partition set is created and the used erase blocks are added to the new partition set.
S8: judging whether the erasing block in the mirror image data is read completely, if so, entering S9; otherwise, return to S2 to re-read the next erase block.
S9: and aiming at each partition set, extracting file directory nodes and data nodes from the used erase blocks of the file systems in the partition set, and constructing a complete partition directory structure and sector mapping according to the relation between the file directory nodes and the data nodes.
In order to verify the correctness of the method of the embodiment, the following experiment is performed, and the experimental process is as follows:
1. extracting a FLASH mirror image of equipment;
2. the mirror image is resolved by adopting an embodiment method, and as shown in fig. 7 and fig. 8, the result of resolving the mirror image of the adjacent 2 partitions is shown.
The embodiment of the invention extracts JFFS2/YAFFS2 erase block aggregated data by taking the erase block of the flash memory device as a unit, and distinguishes each partition data by matching parameters such as directory nodes and the like to achieve the aim of extracting and analyzing the multi-partition data of the JFFS2/YAFFS2 embedded file system.
The second embodiment:
the invention also provides embedded file system multi-partition analysis terminal equipment, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the steps in the method embodiment of the first embodiment of the invention are realized when the processor executes the computer program.
Further, as an executable scheme, the embedded file system multi-partition analysis terminal device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The embedded file system multi-partition parsing terminal device may include, but is not limited to, a processor and a memory. It is understood by those skilled in the art that the above-mentioned structure of the embedded file system multi-partition resolution terminal device is only an example of the embedded file system multi-partition resolution terminal device, and does not constitute a limitation of the embedded file system multi-partition resolution terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the embedded file system multi-partition resolution terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general processor may be a microprocessor or the processor may be any conventional processor, and the processor is a control center of the embedded file system multi-partition parsing terminal device, and various interfaces and lines are used to connect various parts of the whole embedded file system multi-partition parsing terminal device.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the embedded file system multi-partition parsing terminal equipment by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The module/unit integrated by the embedded file system multi-partition analysis terminal device can be stored in a computer readable storage medium if the module/unit is implemented in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (5)

1. A multi-partition analysis method for an embedded file system is characterized by comprising the following steps:
s1: acquiring mirror image data of the flash memory equipment, and acquiring the size of a storage block according to the type of a flash memory chip;
s2: sequentially reading the erasing blocks from the mirror image data according to the size of the storage blocks;
s3: reading the header data of the read erase block, judging whether file system node information exists in the header data, if so, setting the erase block as a used erase block, and entering S4; otherwise, returning to S2 to re-read the next erase block;
s4: extracting file directory nodes and data nodes from used erase blocks;
s5: judging whether a partition set exists, and if so, entering S6; otherwise, go to S7;
s6: judging whether the extracted file directory node and data node are matched with the file directory node and data node of the used erasing block in each partition set, if so, adding the used erasing block into the matched partition set, and entering S8; if the file directory node and the data node of the used erasure block in all the partition sets are not matched, the step S7 is carried out;
s7: creating a new partition set, and adding the used erase block into the new partition set;
s8: judging whether the erasing block in the mirror image data is read completely, if so, entering S9; otherwise, returning to S2 to re-read the next erase block;
s9: and aiming at each partition set, extracting file directory nodes and data nodes from the used erase blocks of the file systems in the partition set, and constructing a complete partition directory structure and sector mapping according to the relation between the file directory nodes and the data nodes.
2. The embedded file system multi-partition parsing method of claim 1, wherein: when the file system of the mirrored data is the JFFS2 file system, its file directory nodes include: directory node number, version number, current node number, creation time, file directory name and length; the data node includes: file data number, creation time, modification time, access time, and data compression type.
3. The embedded file system multi-partition parsing method of claim 1, wherein: when the file system of the mirrored data is the YAFFS2 file system, the file directory node includes: the file type, the ID of the parent node and the child node, the name of a file directory, the creation time, the modification time and the access time; the data node includes: the file ID number of the data block, the sequence number of the data block and the data length.
4. An embedded file system multi-partition analysis terminal device is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 3 when executing the computer program.
5. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 3.
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