CN111291003B - Data reading method and device and electronic equipment - Google Patents
Data reading method and device and electronic equipment Download PDFInfo
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- CN111291003B CN111291003B CN202010073341.7A CN202010073341A CN111291003B CN 111291003 B CN111291003 B CN 111291003B CN 202010073341 A CN202010073341 A CN 202010073341A CN 111291003 B CN111291003 B CN 111291003B
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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
- G06F16/14—Details of searching files based on file metadata
- G06F16/148—File search processing
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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
- G06F16/176—Support for shared access to files; File sharing support
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- 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
- G06F16/18—File system types
- G06F16/182—Distributed file systems
Abstract
The application provides a data reading method, a data reading device and electronic equipment, wherein the data reading method comprises the following steps: acquiring a source file in a database according to a query condition; judging whether the source file is a block file or not; when the source file is a block file, acquiring all file handles corresponding to the query conditions in each block file; extracting target data corresponding to the file handle in the source file; and completing data merging according to the spatial position relation of each block. The method is used for realizing the rapid extraction of the target data from the source file according to the query condition input by the user.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data reading method and apparatus, and an electronic device.
Background
The existing software for combining the partitioned files has the main problem of very low combining speed. The reason is mainly as follows:
on one hand, the software can read the contents of the block files one by one and then combine the contents, and when the number of the block files is very large, the combining speed is very slow;
on the other hand, some block files contain a plurality of data variables, but not all the data variables need to be read, and in practical applications, software often reads and merges all the data variables, so that merging and a reduction in data reading speed are caused.
Disclosure of Invention
An object of the embodiments of the present application is to provide a data reading method, an apparatus, and an electronic device, so as to realize fast extraction of target data from a source file according to a query condition input by a user.
A first aspect of an embodiment of the present application provides a data reading method, including: acquiring a source file in a database according to a query condition; judging whether the source file is a block file or not; when the source file is a block file, acquiring all file handles corresponding to the query conditions in each block file; and extracting target data corresponding to the file handle in the source file.
In one embodiment, the source file comprises a file name and file splits, and the file name and the file splits correspond one to one; judging whether the source file is a block file or not, including: acquiring the number of file names of source files; judging whether the number of the file names is more than 1; when the number of the file names is more than 1, outputting a result that the source file is a block file; and when the number of the file names is equal to 1, outputting the result that the source file is a single file.
In one embodiment, when the source file is a block file, acquiring all file handles corresponding to the query condition in each block file includes: when the source file is a block file, acquiring block dimension information of the block file; and acquiring a file handle of the partitioned file according to the partitioning dimension information.
In one embodiment, the block dimension information includes start information and/or end information of the block file; acquiring a file handle of a block file according to the block dimension information, wherein the file handle comprises: determining the data range of the block file according to the initial information and/or the termination information of the block file; and acquiring a file handle of the block file according to the data range.
In an embodiment, after extracting the target data corresponding to the file handle in the source file, the method further includes: judging whether the target data is stored in blocks or not; when the target data is stored in blocks, all the target data are combined according to the starting information and/or the ending information to generate query data corresponding to the query conditions.
In one embodiment, the method further comprises: detecting whether the target data is extracted completely; when the target data extraction is completed, the source file is closed.
A second aspect of the embodiments of the present application provides a data reading apparatus, including: the data acquisition module is used for acquiring a source file from a database according to the query condition; the format judging module is used for judging whether the source file is a block file; the handle acquisition module is used for acquiring all file handles corresponding to the query conditions in each block file when the source file is the block file; and the data extraction module is used for extracting target data corresponding to the file handle in the source file.
In one embodiment, the format determining module is configured to: acquiring the number of file names of source files; judging whether the number of the file names is more than 1; when the number of the file names is more than 1, outputting a result that the source file is a block file; and when the number of the file names is equal to 1, outputting the result that the source file is a single file.
In one embodiment, the handle obtaining module is configured to: when the source file is a block file, acquiring block dimension information of the block file; acquiring file handles of the partitioned files according to the partitioning dimension information; the block dimension information comprises the starting information and/or the ending information of the block file; and acquiring a file handle of the block file according to the block dimension information, wherein the file handle comprises: determining the data range of the block file according to the initial information and/or the termination information of the block file; and acquiring a file handle of the block file according to the data range.
In one embodiment, the apparatus further comprises a data synthesis module configured to: judging whether the target data is stored in blocks or not; when the target data is stored in blocks, all the target data are combined according to the starting information and/or the ending information to generate query data corresponding to the query conditions.
In an embodiment, the apparatus further includes a file closing module, configured to detect whether extraction of the target data is completed; when the target data extraction is completed, the source file is closed.
A third aspect of embodiments of the present application provides an electronic device, including: a memory to store a computer program; a processor configured to perform a method for performing the first aspect of the embodiments of the present application and any of the embodiments thereof.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 2 is a schematic view of an interaction scenario according to an embodiment of the present application;
FIG. 3 is a schematic flowchart illustrating a data reading method according to an embodiment of the present application;
FIG. 4 is a schematic flowchart illustrating a data reading method according to another embodiment of the present application;
fig. 5 is a schematic structural diagram of a data reading apparatus according to an embodiment of the present application.
Reference numerals: the system comprises an electronic device 1, a bus 10, a processor 11, a memory 12, a server 100, a terminal 200, a data reading device 500, a data acquisition module 501, a format judgment module 502, a handle acquisition module 503 and a data extraction module 504.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In the description of the present application, the terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 are connected by a bus 10, and the memory 12 stores instructions executable by the processor 11 and the instructions are executed by the processor 11.
As shown in fig. 2, which is an interaction schematic scenario of the server 100 and the terminal 200 in this embodiment, the server 100 may be a data storage server or a data processing server. The electronic device 1 may be a terminal 200, and the terminal 200 receives query information input by a user through human-computer interaction, acquires a source file from the server 100, and extracts target data corresponding to the query information from the source file according to the blocking condition of the source file.
Please refer to fig. 3, which is a method for processing trajectory data according to the present embodiment, the method can be executed by the electronic device 1 shown in fig. 1 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 301: and acquiring the source file in the database according to the query condition.
In this step, the source file may be stored in a memory of the server, or may be stored in an external storage device, and the external storage device is connected to the server via a communication network and transmits data information. The query conditions are input to the terminal by a user through human-computer interaction, the purpose of the query conditions is to acquire target data corresponding to the query conditions in the source file through the input query conditions, the terminal sends the query conditions to the server, and the server reads the target data corresponding to the query conditions from the source file according to the query conditions and returns the target data to the terminal.
In an embodiment, the source file may be a network Common Data Form (network Common Data format) file, which is an array-oriented Data description and encoding standard suitable for network sharing, and is applied to many fields of atmospheric science, hydrology, oceanography, environmental simulation, geophysical and the like.
Step 302: and judging whether the source file is a block file. If so, go to step 303, otherwise go to step 305.
In this step, the source file may be a self-description file storing information such as variable type, variable name, variable dimension, variable unit, and variable default value. When the source file is a NetCDF file, it stores weather, ocean, environment values and simulation results, and in order to calculate the relevant values and simulation results, the corresponding calculation sub-regions are divided for the processor to calculate. For example, when the source file is wrf (Weather Research and Weather Forecasting) numerical mode, the data of each sub-region is saved into 10 files with file numbers ranging from 0000 to 0009.
Step 303: when the source file is a block file, all file handles corresponding to the query conditions in each block file are acquired.
In this step, in the file input/output process, the processor or the application program needs to read data from a file, first call the operating system function and transmit the file name of the file to be opened, and select a path to the file to open the file. The function retrieves a file handle (file handle) that is a unique identification for the file to be opened. To read a block of data from a file, the processor or application needs to call the read file function (ReadFile) and pass the address of the file handle in memory and the number of bytes to copy to the operating system. Therefore, when the source file is a block file, the block file is respectively corresponding to different file handles. Since different data can be stored in any of the block files, when data is read according to the query condition, the block file in which the target data corresponding to the query condition is stored is found according to the file handle.
Step 304: and extracting target data corresponding to the file handle in the source file.
In this step, the target data corresponds to the query condition and is stored in the block files, and the block files include different data types, such as weather, ocean, environment, and the like, according to the difference of the source files, and the block file of one NetCDF file may include weather data or a part of weather data and a part of environment data or environment data. All the partitioned files containing the meteorological data can be found according to the file handle acquired in the step 303, and the processor can extract the meteorological data from the found partitioned files.
In one embodiment, whether the target data extraction is completed is detected, and when the target data extraction is completed, the source file is closed. And when the target data comes from the block files, closing each block file and clearing the information of the block files.
Step 305: and calling an original file function interface to read data.
In this step, when the determination result in step 302 is not a block file but a single file, the original NetCDF file reading interface, reading method, and the like may be called to perform data reading without performing data splicing.
Please refer to fig. 4, which is a data reading method provided in this embodiment, the method can be executed by the electronic device 1 shown in fig. 1 and is used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 401: and acquiring the source file in the database according to the query condition. Please refer to the description of step 301 in the above embodiments.
Step 402: and acquiring the file name number of the source file.
In this step, the source file includes a file name and file splits, and the file name and the file splits correspond one to one. For example, when the source file is wrf (Weather Research and Weather Forecasting) numerical mode, the data of each sub-region is stored in 10 files, the file numbers are 0000 to 0009, and when the sub-regions are integrated into one calculation region, the numerical values are also integrated in the order of 0000 file to 0009 file.
Step 403: and judging whether the number of the file names is more than 1.
In this step, the number of file names is determined. And judging whether the number of the file names is larger than 1, if so, entering a step 404, and otherwise, entering a step 408. In one embodiment, when the number of file names is greater than 1, the result that the source file is a block file is output.
Step 404: the source file is the result of a block file.
In this step, when the number of file names is greater than 1, it is described that the source file is subjected to the blocking process.
Step 405: and when the source file is a block file, acquiring the block dimension information of the block file.
In this step, when the source file is a NetCDF file, the stored data is a numerical value having dimensions, for example, as a weather file, it includes dimensions such as TIME, LAT (latitudinal grid number), and LON (longitudinal grid number), and the dimensions are corresponding to define data such as TIME, TEMP, UVEL (east flow rate), and VVEL (north flow rate). When the block dimension information is calculated in different blocks, the block dimension information is split and stored in different block files, each split dimension data comprises initial information and/or termination information in the splitting process, the data range of the block files is determined through the initial information and/or the termination information, and file handles of the block files are further obtained.
Step 406: and judging whether the target data is stored in blocks. If yes, go to step 407, otherwise go to step 409.
In this step, the target data has a query condition corresponding to the target data, and is stored in a block file, and according to the difference of the source files, the block file of one NetCDF file may include weather data or a part of weather data, and environmental data or a part of environmental data, and when querying the weather data of the source file in the query condition, all weather data dispersed in a plurality of block files need to be extracted.
Step 407: and merging all the target data according to the initial information and/or the termination information to generate query data corresponding to the query conditions.
In this step, when the source file is a NetCDF file and is in a wrf (Weather Research and Forecasting) numerical mode, the target data is stored in each block file in a block manner, and the target data includes dimensions such as TIME, LAT (latitudinal grid number), and LON (longitudinal grid number), and in addition to the dimensions, data such as TIME, TEMP, UVEL (east flow rate), and VVEL (north flow rate) can be defined corresponding to the dimensions, and a global attribute is defined for describing start information and/or end information of the data.
In an embodiment, the start information and the end information are start and end subscripts in an east-west direction and start and end subscripts in a north-south direction, that is, start and end subscripts in a latitude direction and a longitude direction, respectively, a range of the region calculated by the partition may be determined according to the start and end subscripts, and all data in the range may be further extracted according to the determined range. When the query condition corresponds to a certain type of data in the range, extracting and integrating all data corresponding to the query condition to generate finally output query data.
In one embodiment, the data in the block file is directly output when the target data is not stored in blocks.
Step 408: the source file is the result of a single file.
In this step, when the number of file names is greater than 1, it is indicated that the source file is not subject to the blocking process and is in the form of a single file.
Step 409: and calling an original file function interface to read data. Please refer to the description of step 305 in the above embodiment.
In an embodiment, when the foregoing embodiment is used for reading the blocked NetCDF file, the combination of the scusm numerical mode blocked NetCDF file is taken as an example for testing. The SCHISM mode test example adopts 100 CPU cores for calculation, and the number of the block NetCDF files generated by simulation is 100. This merging of 100 NetCDF files takes 3.2 hours to complete using the prior art file reading method. And the method provided by the embodiment of the application can be used for directly reading the 100 blocked NetCDF files, so that the time can be saved by about 3 hours.
Please refer to fig. 5, which is a data reading apparatus provided in this embodiment, and the data reading apparatus may be applied to the electronic device 1 shown in fig. 1, so as to enable the terminal 200 to receive query information input by a user through human-computer interaction, obtain a source file from the server 100, and extract target data corresponding to the query information from the source file according to a blocking condition of the source file.
The data reading apparatus 500 includes: a data acquisition module 501, a format judgment module 502, a handle acquisition module 503, and a data extraction module 504. The specific principle relationship is as follows:
the data obtaining module 501 is configured to obtain a source file in a database according to a query condition. Please refer to the description of step 301 in the above embodiments.
A format determining module 502, configured to determine whether the source file is a block file. Please refer to the description of step 302 in the above embodiment.
A handle obtaining module 503, configured to, when the source file is a block file, obtain all file handles corresponding to the query condition in each block file. Please refer to the description of step 303 in the above embodiments.
The data extraction module 504 is configured to extract target data corresponding to a file handle in the source file. Please refer to the description of step 304 in the above embodiment.
In an embodiment, the apparatus further includes a file closing module, configured to detect whether extraction of the target data is completed; when the target data extraction is completed, the source file is closed.
In one embodiment, the format determining module 502 is configured to: acquiring the number of file names of source files; judging whether the number of the file names is more than 1; when the number of the file names is more than 1, outputting a result that the source file is a block file; and when the file name is equal to 1, outputting the result that the source file is a single file. Please refer to the description of step 403-.
In one embodiment, the handle obtaining module 503 is configured to: when the source file is a block file, acquiring block dimension information of the block file; acquiring file handles of the partitioned files according to the partitioning dimension information; the block dimension information comprises the starting information and/or the ending information of the block file; and acquiring a file handle of the block file according to the block dimension information, wherein the file handle comprises: determining the data range of the block file according to the initial information and/or the termination information of the block file; and acquiring a file handle of the block file according to the data range.
In one embodiment, the apparatus further comprises a data synthesis module configured to: judging whether the target data is stored in blocks or not; when the target data is stored in blocks, all the target data are combined according to the starting information and/or the ending information to generate query data corresponding to the query conditions. Please refer to the description of steps 406-408 in the above embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (5)
1. A data reading method, comprising:
acquiring a source file in a database according to a query condition; the source file is a file for storing meteorological, marine or environmental numerical simulation data in a NetCDF format, and the source file contains initial information and/or termination information of the data for representing the geographical position of the data;
judging whether the source file is a block file or not;
when the source file is a block file, acquiring all file handles corresponding to the query conditions in each block file; when the source file is a block file, acquiring all file handles corresponding to the query condition in each block file, including:
when the source file is a block file, acquiring block dimension information of the block file;
acquiring a file handle of the block file according to the block dimension information; wherein the block dimension information comprises start information and/or end information of a block file; the obtaining of the file handle of the block file according to the block dimension information includes:
determining a data range of the block file according to the initial information and/or the termination information of the block file;
acquiring a file handle of the block file according to the data range; and the number of the first and second groups,
extracting target data corresponding to the file handle in the source file;
judging whether the target data is stored in blocks or not;
when the target data is stored in blocks, all the target data are combined according to the initial information and/or the termination information of the data, and query data corresponding to the query conditions are generated.
2. The method of claim 1, wherein the source file comprises a filename and a file partition, the filename and the file partition having a one-to-one correspondence; the determining whether the source file is a block file includes:
acquiring the number of file names of the source file;
judging whether the number of the file names is more than 1;
when the number of the file names is more than 1, outputting a result that the source file is a block file; and the number of the first and second groups,
and when the number of the file names is equal to 1, outputting a result that the source file is a single file.
3. The method of claim 1, further comprising:
detecting whether the target data is extracted completely;
and when the target data extraction is completed, closing the source file.
4. A data reading apparatus, comprising:
the data acquisition module is used for acquiring a source file from a database according to the query condition; the source file is a file for storing meteorological, marine or environmental numerical simulation data in a NetCDF format, and the source file contains initial information and/or termination information of the data for representing the geographical position of the data;
the format judging module is used for judging whether the source file is a block file;
a handle obtaining module, configured to, when the source file is a block file, obtain all file handles corresponding to the query condition in each block file; the handle acquisition module is further configured to: when the source file is a block file, acquiring block dimension information of the block file; acquiring a file handle of the block file according to the block dimension information; wherein the block dimension information comprises start information and/or end information of a block file; the obtaining of the file handle of the block file according to the block dimension information includes: determining a data range of the block file according to the initial information and/or the termination information of the block file; acquiring a file handle of the block file according to the data range; and the number of the first and second groups,
the data extraction module is used for extracting target data corresponding to the file handle in the source file;
and the data merging module is used for judging whether the target data are stored in blocks or not, and merging all the target data according to the initial information and/or the termination information of the data when the target data are stored in blocks to generate query data corresponding to the query conditions.
5. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 3.
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