CN111338583B - High-frequency data storage method and device and computer - Google Patents
High-frequency data storage method and device and computer Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
- G06F3/0643—Management 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
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
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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
- G06F3/00—Input 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
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
- G06F3/0644—Management of space entities, e.g. partitions, extents, pools
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input 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
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
Abstract
The invention provides a high-frequency data storage method, a device and a computer, wherein any class with a data block read-write handle can apply for a memory data block from a memory pool and put the memory data block into a notification queue after calling a write method, and when the data block exists in the queue, a file stream creation module can be awakened to create an independent file and write the file into a thread. After the file is written into the thread, the data block is released and returned to the memory pool, and each registered data type is allocated with independent memory pool and thread resources, so that the memory pool and the multithreading technology are fully utilized, and the data storage efficiency is effectively improved.
Description
Technical Field
The invention relates to the technical field of laser radars, in particular to a high-frequency data storage method, a high-frequency data storage device and a high-frequency data storage computer.
Background
As a high-tech tool, the laser radar scanning system can rapidly acquire high-density and high-precision laser point cloud data, and can establish a three-dimensional model with the precision of centimeter level by post-processing the point cloud data. The technology is widely applied to the fields of resource exploration, urban planning, agricultural development, land utilization, environmental monitoring, earthquake prevention and disaster reduction and the like. The laser radar technology can rapidly acquire high-density and high-precision laser point cloud data, and a three-dimensional model with the precision of centimeter level can be established by post-processing the point cloud data. However, the amount of data collected due to this technique is huge (usually in the TB level), and is accompanied by a variety of data such as inertial navigation. As system complexity increases, data storage presents several problems:
(1) the data types are more and more, and different storage modes are not uniform;
(2) the data volume is larger and larger, so that the storage efficiency is low and the data copying at the later stage is difficult;
(3) the system resources and storage status used cannot be effectively monitored.
Disclosure of Invention
The invention aims to provide a high-frequency data storage method, a high-frequency data storage device and a computer, which aim to solve the technical problems mentioned in the background technology.
In order to achieve the above object, the present invention provides a high frequency data storage method, comprising:
registering data types to be stored, and establishing a corresponding memory pool, a notification queue, a thread and a data block read-write handle for each registered data type;
monitoring the notification queue in real time, and taking out and writing the data blocks in the notification queue into a file stream when applying for the data blocks from the corresponding memory pool through the data block read-write handle and writing the data blocks into the corresponding notification queue;
creating the data blocks of the registered data types contained in the file stream into independent files and writing the independent files into corresponding threads;
and releasing the data block written into the thread and returning the data block to the corresponding memory pool.
Optionally, after releasing the data block written into the thread and returning to the corresponding memory pool, the method further includes:
and stopping writing the file into the corresponding thread and closing the file stream.
Optionally, the class owning the read-write handle of the data block writes the data block into the notification queue by using a "write" method.
Optionally, the file stream is a file stream with compression.
Optionally, the step of monitoring the notification queue in real time includes:
retrieving the notification queue and judging whether the notification queue is empty, if so, sleeping the corresponding thread; and if the notification queue is not empty, proposing a task in the notification queue task as the task to be executed at this time, wherein the task comprises the data block needing to be operated at this time.
Optionally, each thread has a unique identifier and an encryption KEY, where the encryption KEY is used to encrypt the unique identifier of the thread, and the encrypted unique identifier changes with a change in the boot state.
The present invention also provides a high frequency data storage device, comprising:
the registration data module is used for registering the data type to be stored;
the creating module is used for creating a corresponding memory pool, a notification queue, a thread and a data block read-write handle for each registered data type;
a data block writing module, configured to write the data block in the memory pool into the corresponding notification queue through the data block read-write handle;
the monitoring module is used for monitoring whether a data block is written into each notification queue;
a file flow creating module, configured to acquire a data block from the notification queue and create a file flow when the data block is written in the notification queue, and create an independent file according to the data block of the registered data type included in the file flow and write the file into a corresponding thread;
and the releasing module is used for releasing the data block written into the thread and returning the data block to the corresponding memory pool.
Optionally, the method further includes:
and the stopping module is used for stopping the file writing thread and closing the file stream.
Optionally, the register data module may further adjust the size of the memory pool and the size of the data block in the memory pool.
Optionally, the file stream creation module may further specify a different file header and create a file stream with compression.
Optionally, the high frequency data storage device is applied to a radar scanning system.
The present invention also provides a computer, comprising:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the high frequency data storage method.
The high-frequency data storage method, the device and the computer provided by the invention at least have the following beneficial effects:
(1) the data of different data types can be flexibly stored according to actual conditions, the problem that storage interfaces of different data types are not uniform is solved, and the later maintenance and expansion are facilitated;
(2) the memory pool and the multithreading technology are fully utilized, and the data storage efficiency is improved;
(3) the file stream created by each data type can be independently configured to determine whether a custom header is added, whether a file stream with compression is created, and different compression levels can be configured in the custom header, so that not only is the disk space fully utilized, but also the data copy amount is reduced;
(4) an interface which can be monitored by a memory pool is provided, and the use amount of system resources can be conveniently evaluated.
Drawings
FIG. 1 is a flow chart of a high frequency data storage method according to an embodiment of the present invention;
FIG. 2 is another flow chart of a high frequency data storage method according to an embodiment of the present invention;
FIG. 3 is a schematic data torsion diagram of a high frequency data storage method according to an embodiment of the present invention;
wherein the reference numerals are:
100-register data module; 200-a creation module; 300-data block write module; 400-a monitoring module; 500-a file stream creation module; 600-stop module.
Detailed Description
The following describes in more detail embodiments of the present invention with reference to the schematic drawings. The advantages and features of the present invention will become more apparent from the following description. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is merely for the purpose of facilitating and distinctly claiming the embodiments of the present invention.
Fig. 1 is a flowchart of a high-frequency data storage method according to an embodiment of the present invention. As shown in fig. 1, the high frequency data storage method includes:
step S1: registering data types to be stored, and establishing a corresponding memory pool, a notification queue, a thread and a data block read-write handle for each registered data type;
step S2: monitoring the notification queue in real time, and taking out and writing the data blocks in the notification queue into a file stream when applying for the data blocks from the corresponding memory pool through the data block read-write handle and writing the data blocks into the corresponding notification queue;
step S3: creating the data blocks of the registered data types contained in the file stream into independent files and writing the independent files into corresponding threads;
step S4: and releasing the data block written into the thread and returning the data block to the corresponding memory pool.
Fig. 2 is another flowchart of a high frequency data storage method according to an embodiment of the present invention. Based on this, the present invention also provides a high frequency data storage device, comprising:
a register data module 100, configured to register a data type to be stored;
a creating module 200, configured to create a corresponding memory pool, notification queue, thread, and data block read-write handle for each registered data type;
a data block writing module 300, configured to write the data block in the memory pool into the corresponding notification queue through the data block read-write handle;
a monitoring module 400, configured to monitor whether a data block is written into each notification queue;
a file stream creating module 500, configured to acquire a data block from the notification queue and create a file stream when the data block is written in the notification queue, and create an independent file according to the data block of the registered data type included in the file stream and write the file into a corresponding thread;
and the releasing module is used for releasing the data block written into the thread and returning the data block to the corresponding memory pool.
Fig. 3 is a schematic data torsion diagram of a high-frequency data storage method according to an embodiment of the present invention. Next, the high frequency data storage method and apparatus provided in the present embodiment will be further described with reference to fig. 2 and 3. The high-frequency data storage device and the method can be applied to radar scanning systems, and provide storage support for systems with more data types.
Specifically, as shown in fig. 2 and 3, step S1 is first executed, and the registration data module 100 may provide a registration data interface (registerdatastorage) through which the user registers the data type to be stored. In this embodiment, the user can also adjust the size of the memory pool and the size of the data block (specifically, the memory data block) in the memory pool through the registration data module 100. The creation module 200 provides a creation interface (datastore) to create a corresponding memory pool, notification queue, thread, and data block read/write handle for each registered data type. That is to say, each registered data type has a corresponding memory pool (MemoryPool), notification queue (notifiationqueue), thread (storagettask), and data block read-write handle (blockadatawriter), and the data types are processed separately without affecting each other, so that the data storage efficiency can be improved.
In this embodiment, each thread has a unique identifier and an encryption KEY, the encryption KEY is used to encrypt the unique identifier of the thread, the encryption KEY and the unique identifier may be written into a file, when the file needs to be written into a process, the file is read according to the data type, and the encrypted unique identifier is decrypted to obtain the decrypted unique identifier, where the decrypted unique identifier may be used as an identifier of the write-in process. The embodiment encrypts and stores the data, so that the data writing safety is guaranteed, and the encrypted KEY and the encrypted result are both written into the memory mapping file, and the encrypted unique identifier changes along with the change of the boot state, so that the encrypted KEY used each time is changed, and the data safety is further improved.
And then, executing step S2, monitoring whether a data block is written in each notification queue in real time, and when a data block is applied from the corresponding memory pool through the data block read-write handle and written in the corresponding notification queue, taking out the data block in the notification queue and writing the data block into a file stream. Specifically, the data block writing module 300 may provide a handle obtaining interface (getBlockDataWriter), and write the data block in the memory pool into the corresponding notification queue by obtaining the data block read-write handle, so as to form a task. Since the listening module 400 listens to the notification queue in real time, the file stream creation module 500 is notified when a data block is written in the notification queue. The file stream creation module 500 may provide a file stream creation interface (startDataStorage) to fetch and write data blocks in the notification queue into a file stream.
Optionally, the data block writing module 300 is specifically configured to obtain a write handle of the data block, and a class that owns the write handle of the data block may write the data block to the notification queue by using a "write" method.
In this embodiment, the step of the monitoring module 400 monitoring the notification queue in real time includes: retrieving the notification queue and judging whether the notification queue is empty, if so, sleeping the corresponding thread, thereby preventing the thread without tasks from occupying resources and saving power consumption; if the notification queue is not empty, the file stream creating module 500 will propose a task in the notification queue task as the task to be executed this time, and create a data block included in the task as the file stream.
Further, the file stream creating module 500 may further specify different file headers (or no file header) for the file streams, and may select to create a file stream with compression when the data size is large, so as to reduce the write size of the finally created independent file, and the compression level may be written in the file header for indication. Compression not only makes full use of disk space, but also reduces the amount of data copying that is ultimately achieved.
Then, in step S3, the file stream creating module 500 creates the data blocks of the registered data types contained in the file stream as independent files and writes the files into corresponding threads. Finally, step S4 is executed: the release module (not shown in the figure) releases the data block written into the thread back to the corresponding memory pool, and then the stop module 600 provides a stop interface (stopdata storage) to stop the file from being written into the corresponding thread and close the file flow.
Optionally, the high-frequency data storage device may further include an inquiry module, and the inquiry module may provide an inquiry interface, and inquire the usage amount of the data block that has been applied in the memory pool by using a method such as getblockackdataavail, so as to check the resource usage amount.
In summary, in the present invention, after any class having a data block read-write handle calls the write method, a memory data block is applied from the memory pool and is put into the notification queue, and when there is a data block in the queue, the file stream creation module 500 is waken to create an independent file and write the file into a thread. After the file is written into the thread, the data block is released and returned to the memory pool, and each registered data type is allocated with independent memory pool and thread resources, so that the memory pool and the multithreading technology are fully utilized, and the data storage efficiency is effectively improved.
In this regard, the present embodiments also provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform the high frequency data storage method.
The present embodiment also provides a computer, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the high frequency data storage method.
The computer in this embodiment may be a PC, or may also be a terminal device such as a smart phone, a tablet computer, or a portable computer. The computer may include: a processor, e.g. a CPU, a network interface, a user interface, a memory, a communication bus. Wherein, the communication bus is used for realizing the connection communication between the components. The memory may be a high-speed RAM memory or a non-volatile memory (e.g., a disk memory). The memory may alternatively be a memory separate from the aforementioned processor.
The processor may call a high frequency data storage program stored in the memory to execute the high frequency data storage method.
The above description is only a preferred embodiment of the present invention, and does not limit the present invention in any way. It will be understood by those skilled in the art that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A high frequency data storage method, comprising:
registering data types to be stored, and establishing a corresponding memory pool, a notification queue, a thread and a data block read-write handle for each registered data type;
monitoring the notification queue in real time, and taking out and writing the data blocks in the notification queue into a file stream when applying for the data blocks from the corresponding memory pool through the data block read-write handle and writing the data blocks into the corresponding notification queue;
creating the data blocks of the registered data types contained in the file stream into independent files and writing the independent files into corresponding threads;
releasing the data block written into the thread and returning the data block to the corresponding memory pool;
each thread is provided with a unique identifier and an encryption KEY, the encryption KEY is used for encrypting the unique identifier of the thread, and the encrypted unique identifier changes along with the change of the starting state.
2. The method of claim 1, wherein after releasing the written data blocks of the thread back into the corresponding memory pool, further comprising:
and stopping writing the file into the corresponding thread and closing the file stream.
3. The high frequency data storage method of claim 1, wherein the class that owns the data block read write handle writes the data block to the notification queue using a "write" method.
4. The high frequency data storage method of claim 1, wherein the file stream is a compressed file stream.
5. The high frequency data storage method of claim 1, wherein the step of listening in real time to the notification queue comprises:
retrieving the notification queue and judging whether the notification queue is empty, if so, sleeping the corresponding thread; and if the notification queue is not empty, proposing a task in the notification queue task as the task to be executed at this time, wherein the task comprises the data block needing to be operated at this time.
6. A high frequency data storage device, comprising:
the registration data module is used for registering the data type to be stored;
the creating module is used for creating a corresponding memory pool, a notification queue, a thread and a data block read-write handle for each registered data type; each thread is provided with a unique identifier and an encryption KEY, the encryption KEY is used for encrypting the unique identifier of the thread, and the encrypted unique identifier changes along with the change of the starting state;
a data block writing module, configured to write the data block in the memory pool into the corresponding notification queue through the data block read-write handle;
the monitoring module is used for monitoring whether a data block is written into each notification queue;
a file flow creating module, configured to acquire a data block from the notification queue and create a file flow when the data block is written in the notification queue, and create an independent file according to the data block of the registered data type included in the file flow and write the file into a corresponding thread;
and the releasing module is used for releasing the data block written into the thread and returning the data block to the corresponding memory pool.
7. The high frequency data storage device of claim 6, further comprising: the stopping module is used for stopping the file writing thread and closing the file stream;
the register data module can also adjust the size of the memory pool and the size of the data block in the memory pool;
the file stream creation module may also specify different file headers and create a file stream with compression.
8. A high frequency data storage device as claimed in claim 6 or 7 wherein said high frequency data storage device is adapted to include a radar scanning system.
9. A computer, characterized in that the computer comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the high frequency data storage method of any one of claims 1-5.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426536A (en) * | 2011-10-26 | 2012-04-25 | 深圳市亚特尔科技有限公司 | Multitask data communication implementation method and system |
| CN104580158A (en) * | 2014-12-12 | 2015-04-29 | 集时通（福建）信息科技有限公司 | Distributed platform file and content distribution method and distributed platform file and content distribution system |
| CN106126359A (en) * | 2016-08-25 | 2016-11-16 | 成都交大光芒科技股份有限公司 | The rapid transmission method of process data sharing |
| CN107395669A (en) * | 2017-06-01 | 2017-11-24 | 华南理工大学 | A kind of collecting method and system based on the real-time distributed big data of streaming |
| US10346435B2 (en) * | 2015-10-23 | 2019-07-09 | Oracle International Corporation | System and method for improved performance in a multidimensional database environment |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104778182B (en) * | 2014-01-14 | 2018-03-02 | 博雅网络游戏开发（深圳）有限公司 | Data lead-in method and system based on HBase |
| CN107590199B (en) * | 2017-08-18 | 2019-12-24 | 西安理工大学 | Memory-oriented multithreading database design method |
| CN107886561B (en) * | 2017-11-30 | 2021-11-09 | 公安部物证鉴定中心 | Crime scene point cloud data-based storage scheduling and display method |
| CN108170758A (en) * | 2017-12-22 | 2018-06-15 | 福建天泉教育科技有限公司 | High concurrent date storage method and computer readable storage medium |
| CN111061434B (en) * | 2019-12-17 | 2021-10-01 | 人和未来生物科技（长沙）有限公司 | Gene compression multi-stream data parallel writing and reading method, system and medium |
-
2020
- 2020-05-19 CN CN202010422444.XA patent/CN111338583B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426536A (en) * | 2011-10-26 | 2012-04-25 | 深圳市亚特尔科技有限公司 | Multitask data communication implementation method and system |
| CN104580158A (en) * | 2014-12-12 | 2015-04-29 | 集时通（福建）信息科技有限公司 | Distributed platform file and content distribution method and distributed platform file and content distribution system |
| US10346435B2 (en) * | 2015-10-23 | 2019-07-09 | Oracle International Corporation | System and method for improved performance in a multidimensional database environment |
| CN106126359A (en) * | 2016-08-25 | 2016-11-16 | 成都交大光芒科技股份有限公司 | The rapid transmission method of process data sharing |
| CN107395669A (en) * | 2017-06-01 | 2017-11-24 | 华南理工大学 | A kind of collecting method and system based on the real-time distributed big data of streaming |
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