CN112596717B - Multi-data packing method, device, electronic equipment and computer readable storage medium - Google Patents
Multi-data packing method, device, electronic equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN112596717B CN112596717B CN202011523017.7A CN202011523017A CN112596717B CN 112596717 B CN112596717 B CN 112596717B CN 202011523017 A CN202011523017 A CN 202011523017A CN 112596717 B CN112596717 B CN 112596717B
- Authority
- CN
- China
- Prior art keywords
- data
- field
- fields
- packaged
- data information
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 66
- 238000012856 packing Methods 0.000 title claims abstract description 32
- 238000004806 packaging method and process Methods 0.000 claims abstract description 116
- 230000006870 function Effects 0.000 claims description 63
- 238000012545 processing Methods 0.000 claims description 36
- 238000004458 analytical method Methods 0.000 claims description 26
- 238000012360 testing method Methods 0.000 claims description 24
- 238000000605 extraction Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 abstract description 10
- 230000008569 process Effects 0.000 description 7
- 238000007726 management method Methods 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000009747 swallowing Effects 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/37—Compiler construction; Parser generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
- G06F8/42—Syntactic analysis
- G06F8/427—Parsing
Abstract
The invention relates to a data acquisition technology, and discloses a multi-data packing method, which comprises the following steps: extracting and analyzing the target data field in the acquired data packaging request to obtain a plurality of data information fields and corresponding ip fields; serializing the plurality of data information fields into a data information list; acquiring a plurality of data to be packaged by utilizing a multithreading parallel mode ip field; carrying out integrity comparison on the data to be packaged and the data information list, and acquiring the data to be packaged again by utilizing a timing task if the integrity comparison result is incomplete; and if the integrity comparison result is complete, carrying out data packaging on the plurality of data to be packaged to obtain a data packet. In addition, the invention also relates to a blockchain technology, and the plurality of data to be packaged can be stored in nodes of the blockchain. The invention also provides a multi-data packaging device, electronic equipment and a computer readable storage medium. The invention can solve the problem of low efficiency and integrity in multi-data packaging.
Description
Technical Field
The present invention relates to the field of data acquisition technologies, and in particular, to a method and apparatus for packaging multiple data, an electronic device, and a computer readable storage medium.
Background
With the development of big data age, various data exist in the network, people often need to select and download the data needed by themselves in the network, and after the downloading is completed, package a plurality of data into a data packet so as to realize one-time acquisition of the data.
At present, most of the ways of packaging the data are as follows: the data acquisition template is utilized to acquire multiple data according to sequence, the acquired data are sent to the preset data packaging platform to be packaged, but because the data volume of the data needed by people in many scenes is huge and the data are stored in different storage areas in a network, the overall efficiency of the data packaging is low due to the mode of sequential acquisition, the requirement of users on timeliness cannot be met, the integrity of the acquired data cannot be guaranteed when the data to be packaged are acquired, and the integrity of the data package is low.
Disclosure of Invention
The invention provides a multi-data packing method, a multi-data packing device and a computer readable storage medium, which mainly aim to solve the problem that the efficiency and the integrity are not high during multi-data packing.
In order to achieve the above object, the present invention provides a method for packaging multiple data, comprising:
acquiring a data packaging request, and extracting a target data field in the data packaging request;
performing field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
serializing the plurality of data information fields into a data information list;
acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode;
carrying out integrity comparison on the plurality of data to be packaged and the data information list, and obtaining a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields by utilizing a timing task if the integrity comparison result is incomplete;
and if the integrity comparison result is complete, packaging the data of the data to be packaged to obtain a data packet.
Optionally, the extracting the target data field in the data packaging request includes:
traversing the data packaging request and determining the position of a field separator in the data packaging request;
Performing field splitting on the data packaging request according to the position of the field separator to obtain a plurality of split fields;
the split fields are subjected to sequence number marking according to the split sequence;
and selecting a split field with a preset sequence number as the target data field.
Optionally, the performing field parsing on the target data field to obtain a plurality of data information fields and ip fields corresponding to the plurality of data information fields respectively includes:
traversing the target data field and determining a field header and a field body in the target data field;
performing reflection operation on the field body to obtain a field method;
constructing an information extraction statement according to the field method;
executing the information extraction statement to extract a plurality of data information fields in the target data field;
and carrying out ip address analysis on the field header to obtain ip fields respectively corresponding to the plurality of data information fields.
Optionally, the serializing the plurality of data information fields into the data information list includes:
acquiring a plurality of serialization processing functions;
linearly combining the plurality of serialization processing functions into a constructor;
constructing a serialization interface by using the construction function;
And carrying out serialization processing on the plurality of data information fields by utilizing the serialization interface to obtain a data information list.
Optionally, the obtaining, by using a multithreading parallel manner, a plurality of data to be packaged according to ip fields respectively corresponding to the plurality of data information fields includes:
performing logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses;
compiling the real ip addresses into data call sentences respectively;
and executing the data call sentences to obtain a plurality of data to be packaged.
Optionally, the performing logic test on the ip fields corresponding to the multiple data information fields respectively to obtain multiple real ip addresses includes:
carrying out logic test on the ip field to obtain a logic test value;
when the logic test value is the same as a preset logic threshold value, determining that the ip field is forwarded, and carrying out source address tracking on the ip field to obtain a real ip address;
and when the logic test value is different from a preset logic threshold value, determining that the ip field is not forwarded, and determining that the ip field is a real ip address.
Optionally, the data packaging is performed on the plurality of data to be packaged to obtain a data packet, including:
Carrying out data format standardization on the data to be packaged to obtain standardized data;
and packaging the standardized data to obtain a data packet.
In order to solve the above problems, the present invention also provides a multiple data packing apparatus, the apparatus comprising:
the field extraction module is used for acquiring a data packaging request and extracting target data fields in the data packaging request;
the field analysis module is used for carrying out field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
a serialization module for serializing the plurality of data information fields into a data information list;
the data acquisition module is used for acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode;
the integrity comparison module is used for carrying out integrity comparison on the plurality of data to be packaged and the data information list, and if the result of the integrity comparison is incomplete, a timing task is utilized to acquire a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields;
And the data packaging module is used for carrying out data packaging on the plurality of data to be packaged to obtain a data packet if the integrity comparison result is complete.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
a memory storing at least one instruction; a kind of electronic device with high-pressure air-conditioning system
And the processor executes the instructions stored in the memory to realize the multi-data packing method.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one instruction that is executed by a processor in an electronic device to implement the above-mentioned multiple data packing method.
According to the embodiment of the invention, the target data fields in the data packaging request are extracted and analyzed to obtain a plurality of data information fields and the ip fields corresponding to the data information fields, so that a plurality of data to be packaged can be determined through the data packaging request, and the data packaging integrity is improved; the method comprises the steps that a plurality of data to be packaged are acquired according to ip fields corresponding to the data information fields in a multithreading parallel mode, so that the sequential acquisition of the data to be packaged one by one is avoided, and the data packaging efficiency is improved; and serializing the plurality of data information fields into a data information list, and comparing the integrity of the plurality of data to be packaged with the data information list, so that the acquired integrity of the data to be packaged can be determined through comparison, and the missing of the data during packaging is prevented. Therefore, the multi-data packaging method, the multi-data packaging device, the electronic equipment and the computer readable storage medium can solve the problem that the efficiency and the integrity are not high when the multi-data is packaged.
Drawings
FIG. 1 is a flow chart of a multi-data packing method according to an embodiment of the application;
FIG. 2 is a functional block diagram of a multi-data packing device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device implementing the multi-data packing method according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a multi-data packing method. The execution body of the multi-data packaging method includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the multiple data packing method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flow chart of a multi-data packing method according to an embodiment of the application is shown. In this embodiment, the multiple data packing method includes:
S1, acquiring a data packaging request, and extracting a target data field in the data packaging request.
In the embodiment of the invention, the data packaging request is a request command for data packaging initiated by a user in any system, for example, a request command for packaging some or all data initiated by the user in a data management system.
In detail, the embodiment of the invention monitors and acquires the data packaging request in the network by using the ASM enhanced byte code filter, wherein the ASM enhanced byte code filter is a code analysis tool based on a java byte code layer, and monitors the data packaging request by using the ASM enhanced byte code filter, so that the success rate of monitoring the data packaging request can be improved.
In the embodiment of the present invention, the extracting the target data field in the data packaging request includes:
traversing the data packaging request and determining the position of a field separator in the data packaging request;
performing field splitting on the data packaging request according to the position of the field separator to obtain a plurality of split fields;
the split fields are subjected to sequence number marking according to the split sequence;
and selecting a split field with a preset sequence number as the target data field.
For example, the data packing request is "qwe < rt < yuio < pl", where < is a field separator, then the data packing request is field split into: four split fields of 'qwe', 'rt', 'yuio' and 'pl', and a plurality of split fields are numbered according to a split order: 1"qwe", 2"rt", 3"yuio", and 4"pl", e.g., preset sequence number 2, field "rt" is determined to be the target data field.
S2, carrying out field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the data information fields.
In the embodiment of the present invention, the target data field includes one or more data information fields, where different data information fields respectively correspond to different data to be packaged, for example, there is a target data field including a data information field 1, a data information field 2, and a data information field 3, where the data to be packaged corresponding to the data information field 1 is data 1, the data to be packaged corresponding to the data information field 2 is data 2, and the data to be packaged corresponding to the data information field 3 is data 3.
In detail, the target data field includes a data information field and an ip field corresponding to the data information field, where the data information field includes information such as a data name, a data type, and a data size, and the ip field is a storage address of data corresponding to the data information field, and specifically, the storage address of data corresponding to the data information field may be one or multiple.
In the embodiment of the present invention, the performing field parsing on the target data field to obtain a plurality of data information fields and ip fields corresponding to the plurality of data information fields respectively includes:
traversing the target data field and determining a field header and a field body in the target data field;
performing reflection operation on the field body to obtain a field method;
constructing an information extraction statement according to the field method;
executing the information extraction statement to extract a plurality of data information fields in the target data field;
and carrying out ip address analysis on the field header to obtain ip fields respectively corresponding to the plurality of data information fields.
In the embodiment of the invention, the field body can be subjected to reflection operation by utilizing the reflection technology in java to obtain the field method, wherein the reflection technology is a mode of acquiring the data according to the character string in java, and the field body is subjected to reflection operation by utilizing the reflection technology, so that the efficiency of acquiring the field method can be improved.
Specifically, the reflecting operation is performed on the field body to obtain a field method, for example, the reflecting operation is performed on the field body by using the following java statement:
String name＝"Hualing"；Class c1＝name.getClass()；System.out.println(c1.getName())。
where "Hualing" is the field body.
And after the field body is subjected to the reflection operation, obtaining a field method. Specifically, the specific method for constructing the request header extraction statement according to the field method comprises the following steps: the following information extraction statement is constructed: string name = field.
Further, in the embodiment of the present invention, an ip address resolution may be performed on the field header by using a parser to obtain ip fields corresponding to the multiple data information fields, where the parser includes CarakanC/c++, squirrelfehc++, squirrelfehextrec++, and the like.
S3, serializing the plurality of data information fields into a data information list.
In the embodiment of the invention, the serialization interface is constructed, and the plurality of data information fields are converted into the form of a data table by using the serialization interface and stored in a preset database to obtain a data information list.
In detail, the serializing the plurality of data information fields into the data information list includes:
acquiring a plurality of serialization processing functions;
Linearly combining the plurality of serialization processing functions into a constructor;
constructing a serialization interface by using the construction function;
and carrying out serialization processing on the plurality of data information fields by utilizing the serialization interface to obtain a data information list.
In an embodiment of the present invention, the serialization processing functions include, but are not limited to, a writeExternal () function and a randomExternal () function.
In detail, the writeExternal () function and the randomExternal () function are java functions for randomly ordering a plurality of data information fields.
Further, the linear combination includes, but is not limited to, addition and subtraction, and the embodiment of the present invention linearly combines the plurality of serialization processing functions into a constructor, and further constructs the constructor into a serialization interface by using an Externalible method in java. The Externable method is used for realizing the aggregation of java functions and obtaining a serialization interface.
In the embodiment of the invention, different java functions can be simultaneously combined and used through the serialization interface, so that one interface can simultaneously use a plurality of functions, and the efficiency of serialization processing of a plurality of data information is improved.
In the embodiment of the invention, the method further comprises the step of storing a data information list obtained by serializing the plurality of data information into a pre-constructed database to prevent the plurality of data information from being lost, wherein the database comprises but is not limited to a java database and an Oracle database.
And S4, acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode.
In the embodiment of the invention, the multi-thread parallel mode is utilized to acquire a plurality of data to be packed according to the ip fields respectively corresponding to the data information fields, namely, the multi-thread is utilized to simultaneously acquire the data of the ip fields respectively corresponding to the data information fields, the data to be packed can be stored in the block chain node in advance, and the efficiency of acquiring the data to be packed can be improved by utilizing the high data swallowing nature of the block chain node.
In detail, the obtaining, by using a multithreading parallel manner, a plurality of data to be packaged according to the ip fields respectively corresponding to the plurality of data information fields includes:
performing logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses;
compiling the real ip addresses into data call sentences respectively;
and executing the data call sentences to obtain a plurality of data to be packaged.
In the embodiment of the present invention, the performing a logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses includes:
Carrying out logic test on the ip field to obtain a logic test value;
when the logic test value is the same as a preset logic threshold value, determining that the ip field is forwarded, and carrying out source address tracking on the ip field to obtain a real ip address;
and when the logic test value is different from a preset logic threshold value, determining that the ip field is not forwarded, and determining that the ip field is a real ip address.
In detail, the data packaging request may undergo forwarding of a plurality of computers before being intercepted, so that an ip field of the data packaging request is changed.
Specifically, the performing source address tracking on the ip field to obtain a real ip address includes:
extracting forwarding path parameters in the ip field;
performing reverse analysis on the forwarding path parameters to obtain a forwarding path;
determining an originating address of the data packaging request according to the forwarding path;
and extracting the real ip address from the source address.
In detail, in the embodiment of the present invention, the python statement with a parameter grabbing function may be used to extract the forwarding path parameter from the ip field, where the forwarding path parameter is a specific field generated by a computer and marked in the data packaging request during the process of being forwarded.
Specifically, the forwarding path parameters are reversely analyzed to obtain the forwarding path, wherein the reverse analysis is the reverse process of analysis, and the reverse analysis of the forwarding path parameters can be realized by executing the reverse process of analysis of the user request according to the analyzer, so that the forwarding path is obtained.
Further, according to the embodiment of the present invention, the source address of the data packaging request is determined according to the forwarding path, that is, the network address at the forefront end of the forwarding path is determined as the source address, for example, the forwarding path is www.xxxx/yyyy/uuu/iii.com, and then the network address (xxxx) at the forefront end of the forwarding path is determined as the source address.
The embodiment of the invention utilizes a preset compiler to compile a plurality of real ip addresses into a plurality of data call sentences respectively, and simultaneously executes the plurality of data call sentences to obtain a plurality of data to be packaged, wherein the compiler comprises, but is not limited to, a Visual Studio compiler, a Dev C++ compiler and a Visual C++ compiler.
According to the embodiment of the invention, the multithreading parallel mode is utilized to acquire the data to be packaged according to the ip fields respectively corresponding to the data information fields, so that the data to be packaged can be prevented from being acquired one by one according to the ip fields, and the efficiency of acquiring the data to be packaged is improved.
S5, carrying out integrity comparison on the data to be packaged and the data information list, and obtaining the data to be packaged again according to the ip fields respectively corresponding to the data information fields by utilizing a timing task if the integrity comparison result is incomplete.
In the embodiment of the present invention, the integrity comparison is performed between the plurality of data to be packaged and the data information list, for example, the data information list includes data information of data 1, data information of data 2, data information of data 3, data information of data 4, and data information of data 5, and the acquired plurality of data to be packaged includes: and the data 1, the data 3 and the data 5 are subjected to integrity comparison on the acquired multiple data to be packaged and the data information list, and the fact that the data to be packaged corresponding to the data information of the data 2 and the data to be packaged corresponding to the data information of the data 4 in the data information list are not acquired can be found, and the result of the integrity comparison is determined to be incomplete.
Further, the obtaining, by the timing task, a plurality of data to be packaged according to the ip fields respectively corresponding to the plurality of data information fields includes:
acquiring a custom processing function;
Constructing a rule expression by utilizing the custom processing function;
and acquiring the data to be packaged at fixed time by using the rule expression.
Specifically, the custom processing function includes, but is not limited to, one or more of the following:
the IF function is used for judging acquisition conditions;
a TO_DATE function for representing DATE and time;
the U_TIME function is used for customizing the acquisition TIME;
and the U_DIV function is used for detecting the storage environment of the data to be packaged.
In detail, the constructing the rule expression by using the custom processing function includes:
acquiring a custom processing function corresponding to a preset acquisition time;
detecting storage environments of the plurality of data to be packaged;
and compiling the custom processing function through a compiler corresponding to the storage environment to obtain the rule expression.
In the embodiment of the invention, the plurality of data to be packaged can be acquired at intervals of preset acquisition time by constructing the custom processing function, so that the problem of low acquisition efficiency caused by frequent or continuous acquisition occupying a large amount of system resources is avoided.
And S6, if the integrity comparison result is complete, carrying out data packaging on the data to be packaged to obtain a data packet.
In the embodiment of the invention, if the result of the weak integrity comparison is complete, the data packet is obtained by performing data packing on the data to be packed on all the data contained in the data information list.
In detail, the data packaging of the plurality of data to be packaged to obtain a data packet includes:
carrying out data format standardization on the data to be packaged to obtain standardized data;
and packaging the standardized data to obtain a data packet.
In the embodiment of the present invention, the performing data format standardization on the plurality of data to be packaged to obtain standardized data includes:
respectively calculating format variables between the data formats of the data to be packaged and a preset target format by using a preset variable algorithm;
and adding the format variables into the data formats of the data to be packaged to obtain standardized data converted into a target format.
Preferably, the calculating format variables between the data formats of the plurality of data to be packaged and the preset target format by using a preset variable algorithm includes:
calculating format variables alpha between the data formats of the data to be packaged and a preset target format by using the following variable algorithm ′ ：
Wherein α is the target format, and δ is the data format of any one of the plurality of data to be packaged.
Further, according to the embodiment of the invention, the standardized data is subjected to data packaging by using an OEM (OEMDataPack, OEM data packaging) tool to obtain the data package, the OEM tool is a lightweight data packaging tool, and the standard data is subjected to data packaging by using the OEM tool, so that the efficiency of data packaging of the standard data can be improved.
According to the embodiment of the invention, the target data fields in the data packaging request are extracted and analyzed to obtain a plurality of data information fields and the ip fields corresponding to the data information fields, so that a plurality of data to be packaged can be determined through the data packaging request, and the data packaging integrity is improved; the method comprises the steps that a plurality of data to be packaged are acquired according to ip fields corresponding to the data information fields in a multithreading parallel mode, so that the sequential acquisition of the data to be packaged one by one is avoided, and the data packaging efficiency is improved; and serializing the plurality of data information fields into a data information list, and comparing the integrity of the plurality of data to be packaged with the data information list, so that the acquired integrity of the data to be packaged can be determined through comparison, and the missing of the data during packaging is prevented. Therefore, the multi-data packaging method provided by the invention can solve the problem of low efficiency and integrity in multi-data packaging.
Fig. 2 is a functional block diagram of a multi-data packing device according to an embodiment of the present invention.
The multiple data packing apparatus 100 of the present invention may be installed in an electronic device. Depending on the functions implemented, the multiple data packaging apparatus 100 may include a field extraction module 101, a field parsing module 102, a serialization module 103, a data acquisition module 104, an integrity comparison module 105, and a data packaging module 106. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the field extraction module 101 is configured to obtain a data packaging request, and extract a target data field in the data packaging request.
In the embodiment of the invention, the data packaging request is a request command for data packaging initiated by a user in any system, for example, a request command for packaging some or all data initiated by the user in a data management system.
In detail, the embodiment of the invention monitors and acquires the data packaging request in the network by using the ASM enhanced byte code filter, wherein the ASM enhanced byte code filter is a code analysis tool based on a java byte code layer, and monitors the data packaging request by using the ASM enhanced byte code filter, so that the success rate of monitoring the data packaging request can be improved.
In the embodiment of the present invention, the field extraction module 101 is specifically configured to:
acquiring a data packaging request;
traversing the data packaging request and determining the position of a field separator in the data packaging request;
performing field splitting on the data packaging request according to the position of the field separator to obtain a plurality of split fields;
the split fields are subjected to sequence number marking according to the split sequence;
and selecting a split field with a preset sequence number as the target data field.
For example, the data packing request is "qwe < rt < yuio < pl", where < is a field separator, then the data packing request is field split into: four split fields of 'qwe', 'rt', 'yuio' and 'pl', and a plurality of split fields are numbered according to a split order: 1"qwe", 2"rt", 3"yuio", and 4"pl", e.g., preset sequence number 2, field "rt" is determined to be the target data field.
The field parsing module 102 is configured to perform field parsing on the target data field to obtain a plurality of data information fields and ip fields corresponding to the plurality of data information fields respectively.
In the embodiment of the present invention, the target data field includes one or more data information fields, where different data information fields respectively correspond to different data to be packaged, for example, there is a target data field including a data information field 1, a data information field 2, and a data information field 3, where the data to be packaged corresponding to the data information field 1 is data 1, the data to be packaged corresponding to the data information field 2 is data 2, and the data to be packaged corresponding to the data information field 3 is data 3.
In detail, the target data field includes a data information field and an ip field corresponding to the data information field, where the data information field includes information such as a data name, a data type, and a data size, and the ip field is a storage address of data corresponding to the data information field, and specifically, the storage address of data corresponding to the data information field may be one or multiple.
In the embodiment of the present invention, the field parsing module 102 is specifically configured to:
traversing the target data field and determining a field header and a field body in the target data field;
Performing reflection operation on the field body to obtain a field method;
constructing an information extraction statement according to the field method;
executing the information extraction statement to extract a plurality of data information fields in the target data field;
and carrying out ip address analysis on the field header to obtain ip fields respectively corresponding to the plurality of data information fields.
In the embodiment of the invention, the field body can be subjected to reflection operation by utilizing the reflection technology in java to obtain the field method, wherein the reflection technology is a mode of acquiring the data according to the character string in java, and the field body is subjected to reflection operation by utilizing the reflection technology, so that the efficiency of acquiring the field method can be improved.
Specifically, the reflecting operation is performed on the field body to obtain a field method, for example, the reflecting operation is performed on the field body by using the following java statement:
String name＝"Hualing"；Class c1＝name.getClass()；System.out.println(c1.getName())。
where "Hualing" is the field body.
And after the field body is subjected to the reflection operation, obtaining a field method. Specifically, the specific method for constructing the request header extraction statement according to the field method comprises the following steps: the following information extraction statement is constructed: string name = field.
Further, in the embodiment of the present invention, an ip address resolution may be performed on the field header by using a parser to obtain ip fields corresponding to the multiple data information fields, where the parser includes CarakanC/c++, squirrelfehc++, squirrelfehextrec++, and the like.
The serialization module 103 is configured to serialize the plurality of data information fields into a data information list.
In the embodiment of the invention, the serialization interface is constructed, and the plurality of data information fields are converted into the form of a data table by using the serialization interface and stored in a preset database to obtain a data information list.
In detail, the serialization module 103 is specifically configured to:
acquiring a plurality of serialization processing functions;
linearly combining the plurality of serialization processing functions into a constructor;
constructing a serialization interface by using the construction function;
and carrying out serialization processing on the plurality of data information fields by utilizing the serialization interface to obtain a data information list.
In an embodiment of the present invention, the serialization processing functions include, but are not limited to, a writeExternal () function and a randomExternal () function.
In detail, the writeExternal () function and the randomExternal () function are java functions for randomly ordering a plurality of data information fields.
Further, the linear combination includes, but is not limited to, addition and subtraction, and the embodiment of the present invention linearly combines the plurality of serialization processing functions into a constructor, and further constructs the constructor into a serialization interface by using an Externalible method in java. The Externable method is used for realizing the aggregation of java functions and obtaining a serialization interface.
In the embodiment of the invention, different java functions can be simultaneously combined and used through the serialization interface, so that one interface can simultaneously use a plurality of functions, and the efficiency of serialization processing of a plurality of data information is improved.
In the embodiment of the invention, the method further comprises the step of storing a data information list obtained by serializing the plurality of data information into a pre-constructed database to prevent the plurality of data information from being lost, wherein the database comprises but is not limited to a java database and an Oracle database.
The data obtaining module 104 is configured to obtain a plurality of data to be packaged according to the ip fields respectively corresponding to the plurality of data information fields in a multithreading parallel manner.
In the embodiment of the invention, the multi-thread parallel mode is utilized to acquire a plurality of data to be packed according to the ip fields respectively corresponding to the data information fields, namely, the multi-thread is utilized to simultaneously acquire the data of the ip fields respectively corresponding to the data information fields, the data to be packed can be stored in the block chain node in advance, and the efficiency of acquiring the data to be packed can be improved by utilizing the high data swallowing nature of the block chain node.
In detail, the data acquisition module 104 is specifically configured to:
Performing logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses;
compiling the real ip addresses into data call sentences respectively;
and executing the data call sentences to obtain a plurality of data to be packaged.
In the embodiment of the present invention, the performing a logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses includes:
carrying out logic test on the ip field to obtain a logic test value;
when the logic test value is the same as a preset logic threshold value, determining that the ip field is forwarded, and carrying out source address tracking on the ip field to obtain a real ip address;
and when the logic test value is different from a preset logic threshold value, determining that the ip field is not forwarded, and determining that the ip field is a real ip address.
In detail, the data packaging request may undergo forwarding of a plurality of computers before being intercepted, so that an ip field of the data packaging request is changed.
Specifically, the performing source address tracking on the ip field to obtain a real ip address includes:
extracting forwarding path parameters in the ip field;
performing reverse analysis on the forwarding path parameters to obtain a forwarding path;
determining an originating address of the data packaging request according to the forwarding path;
and extracting the real ip address from the source address.
In detail, in the embodiment of the present invention, the python statement with a parameter grabbing function may be used to extract the forwarding path parameter from the ip field, where the forwarding path parameter is a specific field generated by a computer and marked in the data packaging request during the process of being forwarded.
Specifically, the forwarding path parameters are reversely analyzed to obtain the forwarding path, wherein the reverse analysis is the reverse process of analysis, and the reverse analysis of the forwarding path parameters can be realized by executing the reverse process of analysis of the user request according to the analyzer, so that the forwarding path is obtained.
Further, according to the embodiment of the present invention, the source address of the data packaging request is determined according to the forwarding path, that is, the network address at the forefront end of the forwarding path is determined as the source address, for example, the forwarding path is www.xxxx/yyyy/uuu/iii.com, and then the network address (xxxx) at the forefront end of the forwarding path is determined as the source address.
The embodiment of the invention utilizes a preset compiler to compile a plurality of real ip addresses into a plurality of data call sentences respectively, and simultaneously executes the plurality of data call sentences to obtain a plurality of data to be packaged, wherein the compiler comprises, but is not limited to, a Visual Studio compiler, a Dev C++ compiler and a Visual C++ compiler.
According to the embodiment of the invention, the multithreading parallel mode is utilized to acquire the data to be packaged according to the ip fields respectively corresponding to the data information fields, so that the data to be packaged can be prevented from being acquired one by one according to the ip fields, and the efficiency of acquiring the data to be packaged is improved.
The integrity comparison module 105 is configured to perform integrity comparison on the plurality of data to be packaged and the data information list, and if the result of the integrity comparison is incomplete, acquire a plurality of data to be packaged according to ip fields corresponding to the plurality of data information fields, respectively, by using a timing task.
In the embodiment of the present invention, the integrity comparison is performed between the plurality of data to be packaged and the data information list, for example, the data information list includes data information of data 1, data information of data 2, data information of data 3, data information of data 4, and data information of data 5, and the acquired plurality of data to be packaged includes: and the data 1, the data 3 and the data 5 are subjected to integrity comparison on the acquired multiple data to be packaged and the data information list, and the fact that the data to be packaged corresponding to the data information of the data 2 and the data to be packaged corresponding to the data information of the data 4 in the data information list are not acquired can be found, and the result of the integrity comparison is determined to be incomplete.
Further, the integrity comparison module 105 is specifically configured to:
integrity comparing the plurality of data to be packaged with the data information list;
if the integrity comparison result is incomplete, acquiring a custom processing function;
constructing a rule expression by utilizing the custom processing function;
and acquiring the data to be packaged at fixed time by using the rule expression.
Specifically, the custom processing function includes, but is not limited to, one or more of the following:
the IF function is used for judging acquisition conditions;
a TO_DATE function for representing DATE and time;
the U_TIME function is used for customizing the acquisition TIME;
and the U_DIV function is used for detecting the storage environment of the data to be packaged.
In detail, the constructing the rule expression by using the custom processing function includes:
acquiring a custom processing function corresponding to a preset acquisition time;
detecting storage environments of the plurality of data to be packaged;
and compiling the custom processing function through a compiler corresponding to the storage environment to obtain the rule expression.
In the embodiment of the invention, the plurality of data to be packaged can be acquired at intervals of preset acquisition time by constructing the custom processing function, so that the problem of low acquisition efficiency caused by frequent or continuous acquisition occupying a large amount of system resources is avoided.
The data packaging module 106 is configured to package the plurality of data to be packaged to obtain a data packet if the result of the integrity comparison is complete.
In the embodiment of the invention, if the result of the weak integrity comparison is complete, the data packet is obtained by performing data packing on the data to be packed on all the data contained in the data information list.
In detail, the data packaging module 106 is specifically configured to:
carrying out data format standardization on the data to be packaged to obtain standardized data;
and packaging the standardized data to obtain a data packet.
In the embodiment of the present invention, the performing data format standardization on the plurality of data to be packaged to obtain standardized data includes:
respectively calculating format variables between the data formats of the data to be packaged and a preset target format by using a preset variable algorithm;
and adding the format variables into the data formats of the data to be packaged to obtain standardized data converted into a target format.
Preferably, the calculating format variables between the data formats of the plurality of data to be packaged and the preset target format by using a preset variable algorithm includes:
Calculating format variables alpha between the data formats of the data to be packaged and a preset target format by using the following variable algorithm ′ ：
Wherein α is the target format, and δ is the data format of any one of the plurality of data to be packaged.
Further, according to the embodiment of the invention, the standardized data is subjected to data packaging by using an OEM (OEMDataPack, OEM data packaging) tool to obtain the data package, the OEM tool is a lightweight data packaging tool, and the standard data is subjected to data packaging by using the OEM tool, so that the efficiency of data packaging of the standard data can be improved.
According to the embodiment of the invention, the target data fields in the data packaging request are extracted and analyzed to obtain a plurality of data information fields and the ip fields corresponding to the data information fields, so that a plurality of data to be packaged can be determined through the data packaging request, and the data packaging integrity is improved; the method comprises the steps that a plurality of data to be packaged are acquired according to ip fields corresponding to the data information fields in a multithreading parallel mode, so that the sequential acquisition of the data to be packaged one by one is avoided, and the data packaging efficiency is improved; and serializing the plurality of data information fields into a data information list, and comparing the integrity of the plurality of data to be packaged with the data information list, so that the acquired integrity of the data to be packaged can be determined through comparison, and the missing of the data during packaging is prevented. Therefore, the multi-data packaging device provided by the invention can solve the problem of low efficiency and integrity in multi-data packaging.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a multi-data packing method according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a multi data wrapper 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of the data packer 12, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device 1 and processes data by running or executing programs or modules (e.g., a multi-data packing program, etc.) stored in the memory 11, and calling data stored in the memory 11.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The multiple data package 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring a data packaging request, and extracting a target data field in the data packaging request;
performing field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
Serializing the plurality of data information fields into a data information list;
acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode;
carrying out integrity comparison on the plurality of data to be packaged and the data information list, and obtaining a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields by utilizing a timing task if the integrity comparison result is incomplete;
and if the integrity comparison result is complete, packaging the data of the data to be packaged to obtain a data packet.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring a data packaging request, and extracting a target data field in the data packaging request;
performing field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
serializing the plurality of data information fields into a data information list;
acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode;
carrying out integrity comparison on the plurality of data to be packaged and the data information list, and obtaining a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields by utilizing a timing task if the integrity comparison result is incomplete;
and if the integrity comparison result is complete, packaging the data of the data to be packaged to obtain a data packet.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying drawing figures in the claims should not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. The units or means recited in the system claims may also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (7)
1. A method of packaging multiple data, the method comprising:
acquiring a data packaging request, and extracting a target data field in the data packaging request;
performing field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
serializing the plurality of data information fields into a data information list;
acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields by utilizing a multithreading parallel mode;
carrying out integrity comparison on the plurality of data to be packaged and the data information list, and obtaining a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields by utilizing a timing task if the integrity comparison result is incomplete;
if the integrity comparison result is complete, data packaging is carried out on the data to be packaged to obtain a data packet;
the performing field analysis on the target data field to obtain a plurality of data information fields and ip fields corresponding to the plurality of data information fields respectively, including: traversing the target data field and determining a field header and a field body in the target data field; performing reflection operation on the field body to obtain a field method; constructing an information extraction statement according to the field method; executing the information extraction statement to extract a plurality of data information fields in the target data field; performing ip address analysis on the field header to obtain ip fields corresponding to the data information fields respectively;
The obtaining a plurality of data to be packaged according to the ip fields respectively corresponding to the plurality of data information fields by using a multithreading parallel mode includes: performing logic test on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses; compiling the real ip addresses into data call sentences respectively; executing the data call sentences to obtain a plurality of data to be packaged;
the logic test is performed on the ip fields corresponding to the data information fields respectively to obtain a plurality of real ip addresses, including: carrying out logic test on the ip field to obtain a logic test value; when the logic test value is the same as a preset logic threshold value, determining that the ip field is forwarded, and carrying out source address tracking on the ip field to obtain a real ip address; and when the logic test value is different from a preset logic threshold value, determining that the ip field is not forwarded, and determining that the ip field is a real ip address.
2. The method of data packing according to claim 1, wherein said extracting the target data field in the data packing request comprises:
traversing the data packaging request and determining the position of a field separator in the data packaging request;
Performing field splitting on the data packaging request according to the position of the field separator to obtain a plurality of split fields;
the split fields are subjected to sequence number marking according to the split sequence;
and selecting a split field with a preset sequence number as the target data field.
3. The method of data packing according to claim 1, wherein the serializing the plurality of data information fields into a data information list comprises:
acquiring a plurality of serialization processing functions;
linearly combining the plurality of serialization processing functions into a constructor;
constructing a serialization interface by using the construction function;
and carrying out serialization processing on the plurality of data information fields by utilizing the serialization interface to obtain a data information list.
4. The method for packaging multiple data according to claim 1, wherein said data packaging the multiple data to be packaged to obtain a data packet comprises:
carrying out data format standardization on the data to be packaged to obtain standardized data;
and packaging the standardized data to obtain a data packet.
5. A data packing apparatus for implementing the data packing method according to any one of claims 1 to 4, characterized in that the apparatus comprises:
The field extraction module is used for acquiring a data packaging request and extracting a target data field in the data packaging request;
the field analysis module is used for carrying out field analysis on the target data field to obtain a plurality of data information fields and ip fields respectively corresponding to the plurality of data information fields;
a serialization module for serializing the plurality of data information fields into a data information list;
the data acquisition module is used for acquiring a plurality of data to be packaged according to the ip fields respectively corresponding to the data information fields in a multithreading parallel mode;
the integrity comparison module is used for carrying out integrity comparison on the plurality of data to be packaged and the data information list, and if the result of the integrity comparison is incomplete, a timing task is utilized to acquire a plurality of data to be packaged again according to the ip fields respectively corresponding to the plurality of data information fields;
and the data packaging module is used for carrying out data packaging on the plurality of data to be packaged to obtain a data packet if the integrity comparison result is complete.
6. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
A memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the multiple data packing method of any one of claims 1 to 4.
7. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the multiple data packing method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011523017.7A CN112596717B (en) | 2020-12-21 | 2020-12-21 | Multi-data packing method, device, electronic equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011523017.7A CN112596717B (en) | 2020-12-21 | 2020-12-21 | Multi-data packing method, device, electronic equipment and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112596717A CN112596717A (en) | 2021-04-02 |
| CN112596717B true CN112596717B (en) | 2023-11-21 |
Family
ID=75199933
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011523017.7A Active CN112596717B (en) | 2020-12-21 | 2020-12-21 | Multi-data packing method, device, electronic equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112596717B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110134430A (en) * | 2019-04-12 | 2019-08-16 | 中国平安财产保险股份有限公司 | A kind of data packing method, device, storage medium and server |
| CN110930069A (en) * | 2019-12-10 | 2020-03-27 | 航天新长征大道科技有限公司 | Data acquisition and packaging method and system, readable storage medium and computer |
| CN112052370A (en) * | 2020-09-02 | 2020-12-08 | 平安科技（深圳）有限公司 | Message generation method and device, electronic equipment and computer readable storage medium |
| CN112099800A (en) * | 2020-09-27 | 2020-12-18 | 中国建设银行股份有限公司 | Code data processing method and device and server |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7330958B2 (en) * | 2005-09-22 | 2008-02-12 | International Business Machines Corporation | Method and apparatus for translating a virtual address to a real address using blocks of contiguous page table entries |
| US10338932B2 (en) * | 2016-11-15 | 2019-07-02 | Google Llc | Bootstrapping profile-guided compilation and verification |
-
2020
- 2020-12-21 CN CN202011523017.7A patent/CN112596717B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110134430A (en) * | 2019-04-12 | 2019-08-16 | 中国平安财产保险股份有限公司 | A kind of data packing method, device, storage medium and server |
| CN110930069A (en) * | 2019-12-10 | 2020-03-27 | 航天新长征大道科技有限公司 | Data acquisition and packaging method and system, readable storage medium and computer |
| CN112052370A (en) * | 2020-09-02 | 2020-12-08 | 平安科技（深圳）有限公司 | Message generation method and device, electronic equipment and computer readable storage medium |
| CN112099800A (en) * | 2020-09-27 | 2020-12-18 | 中国建设银行股份有限公司 | Code data processing method and device and server |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112596717A (en) | 2021-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112732567B (en) | Mock data testing method and device based on ip, electronic equipment and storage medium | |
| CN112579098B (en) | Software release method and device, electronic equipment and readable storage medium | |
| CN112702228B (en) | Service flow limit response method, device, electronic equipment and readable storage medium | |
| CN113806434B (en) | Big data processing method, device, equipment and medium | |
| CN114979120B (en) | Data uploading method, device, equipment and storage medium | |
| CN113163009A (en) | Data transmission method, device, electronic equipment and storage medium | |
| CN115129753A (en) | Data blood relationship analysis method and device, electronic equipment and storage medium | |
| CN112541688B (en) | Service data verification method and device, electronic equipment and computer storage medium | |
| CN113051224A (en) | File transmission method and device, electronic equipment and computer readable storage medium | |
| CN112486490B (en) | Front-end code packaging method and device, electronic equipment and storage medium | |
| CN113360139A (en) | Integration method and device of front-end frame, electronic equipment and storage medium | |
| CN112596717B (en) | Multi-data packing method, device, electronic equipment and computer readable storage medium | |
| CN114816371B (en) | Message processing method, device, equipment and medium | |
| CN114697316B (en) | Batch downloading method, device and equipment of data and computer readable medium | |
| CN115033489A (en) | Code resource detection method and device, electronic equipment and storage medium | |
| CN113051171B (en) | Interface testing method, device, equipment and storage medium | |
| CN114721952A (en) | Method, device, equipment and storage medium for synchronously deploying multiple sets of test environments | |
| CN112214256B (en) | Machine learning operation control method and device, electronic equipment and storage medium | |
| CN114398282A (en) | Test script generation method, device, equipment and storage medium | |
| CN112527443A (en) | Prompt box display method and device, electronic equipment and computer readable storage medium | |
| CN113032003B (en) | Development file export method, development file export device, electronic equipment and computer storage medium | |
| CN116414708A (en) | Project testing method and device, electronic equipment and storage medium | |
| CN115080898A (en) | View updating method, device, equipment and medium based on front-end trigger scene | |
| CN113485711A (en) | Task triggering method and device based on dependency relationship, electronic equipment and medium | |
| CN114237571A (en) | Code data conversion method, device, equipment and medium |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |