CN114401322A - Financial data bandwidth compression method and device - Google Patents
Financial data bandwidth compression method and device Download PDFInfo
- Publication number
- CN114401322A CN114401322A CN202210042047.9A CN202210042047A CN114401322A CN 114401322 A CN114401322 A CN 114401322A CN 202210042047 A CN202210042047 A CN 202210042047A CN 114401322 A CN114401322 A CN 114401322A
- Authority
- CN
- China
- Prior art keywords
- data
- byte
- translation
- corresponding type
- 0xff
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 61
- 238000007906 compression Methods 0.000 title claims abstract description 40
- 230000006835 compression Effects 0.000 title claims abstract description 31
- 238000013519 translation Methods 0.000 claims description 50
- 230000008569 process Effects 0.000 claims description 26
- 230000006837 decompression Effects 0.000 claims description 16
- 238000012805 post-processing Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
Abstract
The invention discloses a financial data bandwidth compression method and device, which reduce bandwidth on the basis of ensuring data integrity and timeliness, solve the problems of high bandwidth and high time delay of the transmission of financial data, particularly financial futures data, and improve data transmission performance. The technical scheme is as follows: based on the characteristic of high similarity of financial futures data of different messages of the same type, data in two adjacent messages of the same type are subtracted byte by byte, and the length of the two bytes is 0xFF 01-0 xFFFE to represent 0 of 1-254 bytes, so that the length of the data is reduced, the data bandwidth is effectively compressed, and the data transmission efficiency is improved.
Description
Technical Field
The invention relates to a data bandwidth compression method and device, in particular to a data bandwidth compression method and device applied to the field of financial futures.
Background
With the full-scale opening of the Chinese financial market and the prevalence of programmed transactions, more and more investors participate in the investment field of financial derivatives, thereby raising the enthusiasm of the investors for the speed pursuit of the transaction system. However, due to the characteristics of large data volume and frequent data interaction of financial data, the pursuit of low delay and low bandwidth is very challenging.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems and provides a financial data bandwidth compression method and device, which reduce the bandwidth on the basis of ensuring the data integrity and timeliness, solve the problems of high bandwidth and high time delay of the transmission of financial data, particularly financial futures data, and improve the data transmission performance.
The technical scheme of the invention is as follows: the invention discloses a financial data bandwidth compression method, which comprises a data translation compression process and a data decompression process, wherein:
the data translation compression process further comprises:
step 11: judging whether the data to be sent is the first data in the corresponding type, and if the data to be sent is the first data message, turning to the step 13; if the data message is not the first data message, the procedure goes to step 12, wherein the data is classified according to the service type;
step 12: subtracting the data from the previous data in the corresponding type byte by byte, and then turning to step 13;
step 13: performing byte-by-byte translation on the first data in the corresponding type or the data subjected to byte-by-byte subtraction in step 12;
step 14: transmitting the translated data, and finishing the data translation and compression process;
the data decompression process further comprises:
step 21: analyzing the received data byte by byte;
step 22: and judging whether the received data is the first data in the corresponding type. If yes, the step 24 is carried out, and if not, the step 23 is carried out;
step 23: adding the data analyzed byte by byte and the previous data in the corresponding type byte by byte;
step 24: and storing the first data in the corresponding type after byte-by-byte analysis or the data after byte-by-byte addition in the step 23.
According to an embodiment of the method for compressing the financial data bandwidth of the present invention, the byte-by-byte translation process of step 13 is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
According to an embodiment of the method for compressing the bandwidth of the financial data of the present invention, the byte-by-byte parsing process in step 21 is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
The invention also discloses a financial data bandwidth compression device, which comprises a translation compression device and a decompression device, wherein:
the translation compression apparatus includes:
the translation pre-processing module is configured to not process the first data in the corresponding type, and perform byte-by-byte subtraction on the non-first data in the corresponding type and the previous data in the corresponding type, wherein the data are classified according to the service type;
the translation module is configured to translate the output result of the pre-translation processing module byte by byte;
a transmitting module configured to transmit an output of the translation module;
the decompression device includes:
the analysis module is configured to analyze the received data byte by byte;
the analysis post-processing module is configured to not process the first data under the corresponding type, and perform byte-by-byte addition on the non-first data under the corresponding type and the previous data under the corresponding type;
and the storage module is configured to store the output of the analysis post-processing module.
According to an embodiment of the financial data bandwidth compression apparatus of the present invention, the byte-by-byte translation process in the translation module is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
According to an embodiment of the financial data bandwidth compression apparatus of the present invention, the byte-by-byte parsing process in the parsing module is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
The invention discloses a data translation and compression method, which comprises the following steps:
step 11: judging whether the data to be sent is the first data in the corresponding type, and if the data to be sent is the first data message, turning to the step 13; if the data message is not the first data message, the procedure goes to step 12, wherein the data is classified according to the service type;
step 12: subtracting the data from the previous data in the corresponding type byte by byte, and then turning to step 13;
step 13: performing byte-by-byte translation on the first data in the corresponding type or the data subjected to byte-by-byte subtraction in step 12;
step 14: and transmitting the translated data.
According to an embodiment of the data translation compression method of the present invention, the byte-by-byte translation process of step 13 is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
The invention also discloses a data decompression method, which comprises the following steps:
step 21: analyzing the received data byte by byte;
step 22: and judging whether the received data is the first data in the corresponding type. If yes, the step 24 is carried out, and if not, the step 23 is carried out;
step 23: adding the data analyzed byte by byte and the previous data in the corresponding type byte by byte;
step 24: and storing the first data in the corresponding type after byte-by-byte analysis or the data after byte-by-byte addition in the step 23.
According to an embodiment of the data decompression method of the present invention, the byte-by-byte parsing process in step 21 is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
Compared with the prior art, the invention has the following beneficial effects: based on the characteristic of high similarity of financial futures data of different messages of the same type, the data in two adjacent messages of the same type are subtracted byte by byte, and the length of the two bytes is 0xFF 01-0 xFFFE to represent 0 of 1-254 bytes, so that the length of the data is reduced, the data bandwidth is effectively compressed, and the data transmission efficiency is improved.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
Fig. 1 is a flow chart illustrating data translation compression in an embodiment of the financial data bandwidth compression method of the present invention.
FIG. 2 is a flow chart illustrating data decompression in an embodiment of the financial data bandwidth compression method of the present invention.
FIG. 3 shows a schematic diagram of an embodiment of the financial data bandwidth compression apparatus of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
The financial data bandwidth compression method of the invention comprises the data translation compression process shown in fig. 1 and the data decompression process shown in fig. 2.
As shown in FIG. 1, the steps of the data translation compression process are detailed as follows.
Step 11: and judging whether the data to be sent is the first data in the corresponding type.
In this embodiment, the data is classified according to the service type, for example, the service type includes market data, contract data, and the like. If the message is the first data message, the step 13 is carried out; if not, proceed to step 12.
Step 12: the data and the previous data in the corresponding type are subtracted byte by byte, and then step 13 is performed.
Step 13: for the first data in the corresponding type, or the data after the byte-by-byte subtraction in step 12, byte-by-byte translation is performed.
Since only a few field values are different in two consecutive data of the same service type, such as a market message, only the price and update time fields are different, and other fields are kept unchanged, most bytes of the obtained data are "0" based on step 13, so that the number of bytes can be reduced by recording the number of bytes which are continuously "0" instead of the number of bytes. In consideration of reversibility, when data is analyzed, data representing the number of continuous "0" bytes needs to be converted into real continuous "0" bytes, so that confusion between data recording the number of continuous "0" bytes and normal data is prevented, and therefore a special mark, such as a prefix 0xFF (which may be other bytes, such as 0x00), needs to be attached to the data recording the number of continuous "0" bytes. However, valid data such as 0xFF may also exist in the real data, and in order to distinguish whether 0xFF is the special identifier or the valid data, the special identifier 0xFF is added to the valid data 0xFF, that is, the valid data 0xfff is composed, so that when the data is parsed, 0 xfffxx (XX is not FF) is encountered, which indicates that XX "0" bytes are consecutive, and when 0 xfffff is encountered, which indicates 0 xFF.
The specific byte-by-byte translation process is as follows: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
Step 14: and sending the translated data, and finishing the data translation and compression process.
As shown in fig. 2, the implementation steps of the data decompression process are detailed as follows.
Step 21: and analyzing the received data byte by byte.
The specific process of byte-by-byte parsing in this embodiment is as follows: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
Step 22: and judging whether the received data is the first data in the corresponding type. If yes, the procedure goes to step 24, and if not, the procedure goes to step 23.
Step 23: and adding the data analyzed byte by byte and the previous data in the corresponding type byte by byte.
Step 24: and storing the first data in the corresponding type after byte-by-byte analysis or the data after byte-by-byte addition in the step 23.
Figure 3 illustrates the principles of one embodiment of the financial data bandwidth compression apparatus of the present invention. Referring to fig. 3, the financial data bandwidth compression apparatus of the present embodiment includes: a translation compression apparatus and a translation decompression apparatus.
The translation compression apparatus includes: the device comprises a pre-translation processing module, a translation module and a sending module.
The pre-translation processing module is configured to perform byte-by-byte subtraction on the first data in the corresponding type and the non-first data in the corresponding type.
In this embodiment, the data is classified according to the service type, for example, the service type includes market data, contract data, and the like.
The translation module is configured to translate the output result of the pre-translation processing module byte by byte, and the process is as follows: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
The output result of the pre-translation processing module is either the first data under the corresponding type or the non-first data after byte-by-byte subtraction.
The sending module sends the output (i.e. the translated data) of the translation module.
The decompression module comprises: the device comprises an analysis module, an analysis post-processing module and a storage module.
The analysis module is configured to analyze the received data byte by byte, and the specific process of the analysis is as follows: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
The analysis post-processing module is configured to not process the first data under the corresponding type, and to add the non-first data under the corresponding type and the previous data under the corresponding type byte by byte.
The storage module is configured to store the output of the analysis post-processing module.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a 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, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A financial data bandwidth compression method, the method comprising a data translation compression process and a data decompression process, wherein:
the data translation compression process further comprises:
step 11: judging whether the data to be sent is the first data in the corresponding type, and if the data to be sent is the first data message, turning to the step 13; if the data message is not the first data message, the procedure goes to step 12, wherein the data is classified according to the service type;
step 12: subtracting the data from the previous data in the corresponding type byte by byte, and then turning to step 13;
step 13: performing byte-by-byte translation on the first data in the corresponding type or the data subjected to byte-by-byte subtraction in step 12;
step 14: transmitting the translated data, and finishing the data translation and compression process;
the data decompression process further comprises:
step 21: analyzing the received data byte by byte;
step 22: and judging whether the received data is the first data in the corresponding type. If yes, the step 24 is carried out, and if not, the step 23 is carried out;
step 23: adding the data analyzed byte by byte and the previous data in the corresponding type byte by byte;
step 24: and storing the first data in the corresponding type after byte-by-byte analysis or the data after byte-by-byte addition in the step 23.
2. The method as claimed in claim 1, wherein the byte-by-byte translation process of step 13 is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
3. The method of claim 1, wherein the byte-by-byte parsing in step 21 is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
4. A financial data bandwidth compression apparatus comprising translation compression means and decompression means, wherein:
the translation compression apparatus includes:
the translation pre-processing module is configured to not process the first data in the corresponding type, and perform byte-by-byte subtraction on the non-first data in the corresponding type and the previous data in the corresponding type, wherein the data are classified according to the service type;
the translation module is configured to translate the output result of the pre-translation processing module byte by byte;
a transmitting module configured to transmit an output of the translation module;
the decompression device includes:
the analysis module is configured to analyze the received data byte by byte;
the analysis post-processing module is configured to not process the first data under the corresponding type, and perform byte-by-byte addition on the non-first data under the corresponding type and the previous data under the corresponding type;
and the storage module is configured to store the output of the analysis post-processing module.
5. The financial data bandwidth compression device of claim 4, wherein the byte-by-byte translation process in the translation module is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
6. The financial data bandwidth compression device of claim 4, wherein the byte-by-byte parsing process in the parsing module is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
7. A method for data translation compression, the method comprising:
step 11: judging whether the data to be sent is the first data in the corresponding type, and if the data to be sent is the first data message, turning to the step 13; if the data message is not the first data message, the procedure goes to step 12, wherein the data is classified according to the service type;
step 12: subtracting the data from the previous data in the corresponding type byte by byte, and then turning to step 13;
step 13: performing byte-by-byte translation on the first data in the corresponding type or the data subjected to byte-by-byte subtraction in step 12;
step 14: and transmitting the translated data.
8. The data translation compression method according to claim 7, wherein the byte-by-byte translation process of step 13 is: for the byte with 0xFF, the byte is translated into 0xFFFF, for the byte with 0, the number of the bytes with 0xFF 01-0 xFFFE is used to represent the number of the bytes with 0 continuously, and the bytes with other values are not translated.
9. A method for decompressing data, the method comprising:
step 21: analyzing the received data byte by byte;
step 22: and judging whether the received data is the first data in the corresponding type. If yes, the step 24 is carried out, and if not, the step 23 is carried out;
step 23: adding the data analyzed byte by byte and the previous data in the corresponding type byte by byte;
step 24: and storing the first data in the corresponding type after byte-by-byte analysis or the data after byte-by-byte addition in the step 23.
10. The data decompression method according to claim 9, wherein the byte-by-byte parsing process of step 21 is: the 0xFFFF is analyzed to be 0xFF, the 0xFF 01-0 xFFFE is analyzed to be 0x00 with the corresponding number, and other data do not need to be analyzed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210042047.9A CN114401322A (en) | 2022-01-14 | 2022-01-14 | Financial data bandwidth compression method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210042047.9A CN114401322A (en) | 2022-01-14 | 2022-01-14 | Financial data bandwidth compression method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114401322A true CN114401322A (en) | 2022-04-26 |
Family
ID=81231399
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210042047.9A Pending CN114401322A (en) | 2022-01-14 | 2022-01-14 | Financial data bandwidth compression method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114401322A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8239421B1 (en) * | 2010-08-30 | 2012-08-07 | Oracle International Corporation | Techniques for compression and processing optimizations by using data transformations |
| CN106656195A (en) * | 2015-11-04 | 2017-05-10 | 北京信威通信技术股份有限公司 | Data compression decompression method and data compression decompression system |
| CN108234464A (en) * | 2017-12-25 | 2018-06-29 | 中国铁路总公司 | For the gathered data high-efficiency compression method of centralized signal supervision system |
| WO2018176965A1 (en) * | 2017-03-31 | 2018-10-04 | 北京京东金融科技控股有限公司 | Financial data processing method and apparatus based on blockchain, and electronic device |
| CN112104376A (en) * | 2020-11-19 | 2020-12-18 | 南京艾科朗克信息科技有限公司 | Real-time compression method for stock future market data |
| CN112527754A (en) * | 2020-12-23 | 2021-03-19 | 山东鲁能软件技术有限公司 | Numerical data compression method and system based on bitwise variable length storage |
-
2022
- 2022-01-14 CN CN202210042047.9A patent/CN114401322A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8239421B1 (en) * | 2010-08-30 | 2012-08-07 | Oracle International Corporation | Techniques for compression and processing optimizations by using data transformations |
| CN106656195A (en) * | 2015-11-04 | 2017-05-10 | 北京信威通信技术股份有限公司 | Data compression decompression method and data compression decompression system |
| WO2018176965A1 (en) * | 2017-03-31 | 2018-10-04 | 北京京东金融科技控股有限公司 | Financial data processing method and apparatus based on blockchain, and electronic device |
| CN108234464A (en) * | 2017-12-25 | 2018-06-29 | 中国铁路总公司 | For the gathered data high-efficiency compression method of centralized signal supervision system |
| CN112104376A (en) * | 2020-11-19 | 2020-12-18 | 南京艾科朗克信息科技有限公司 | Real-time compression method for stock future market data |
| CN112527754A (en) * | 2020-12-23 | 2021-03-19 | 山东鲁能软件技术有限公司 | Numerical data compression method and system based on bitwise variable length storage |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110445860B (en) | Message sending method, device, terminal equipment and storage medium | |
| CN107395209B (en) | Data compression method, data decompression method and equipment thereof | |
| JP6381546B2 (en) | Method for pipelined compression of multi-byte frames, apparatus for high bandwidth compression into an encoded data stream, and computer program product | |
| US20100169405A1 (en) | Method and Device for Transmission and Update of Continuous Data Set | |
| US9966971B2 (en) | Character conversion | |
| US8509554B2 (en) | Systems and methods for optimizing bit utilization in data encoding | |
| CN108376364B (en) | Payment system account checking method and device and terminal device | |
| WO2017097071A1 (en) | Method and apparatus for compressing and decompressing data | |
| US20090204626A1 (en) | Systems and methods for information compression | |
| CN101063970B (en) | Audio file management method based on audio feature code recognizing technology and system thereof | |
| US20090307244A1 (en) | Encoding and decoding of xml document using statistical tree representing xsd defining xml document | |
| CN111045604A (en) | Small file read-write acceleration method and device based on NVRAM | |
| CN114401322A (en) | Financial data bandwidth compression method and device | |
| CN112346843A (en) | Analysis method of low-delay FAST protocol | |
| CN114422608B (en) | Data transmission method, device and equipment | |
| CN112685422A (en) | Method and device for processing UTXO database and electronic equipment | |
| CN110780855A (en) | Method, device and system for uniformly managing and controlling interface | |
| WO2020224242A1 (en) | Blockchain data processing method and apparatus, server and storage medium | |
| US8463759B2 (en) | Method and system for compressing data | |
| CN111045989A (en) | Method, device and medium for querying CPLD version information | |
| CN112800183B (en) | Content name data processing method and terminal equipment | |
| US20220360278A1 (en) | Data compression techniques using partitions and extraneous bit elimination | |
| CN110266546B (en) | Method, equipment and readable medium for configuring switch port | |
| CN108989813A (en) | A kind of high efficiency of compression/decompression method, computer installation and storage medium | |
| WO2021097624A1 (en) | File processing method, file processing apparatus, and terminal device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |