CN116610591B - Method, device, system and medium for generating test data and call statement - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3676—Test management for coverage analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a method, a device, a system and a medium for generating test data and call sentences. The method specifically comprises the following steps: obtaining an object file group, analyzing the object file group, and generating a table object file, wherein the table object file comprises a data relation expression; generating a table rule file according to the table object file and a preset rule; receiving the count configuration information, and counting the database according to the count configuration information and the table rule file to generate test data; confirming calling characteristic information according to the test data and the data relation expression; and generating a corresponding call statement according to the call feature information. Generating a table rule file by analyzing the object file group, and generating test data for database creation number according to the table rule file and creation number configuration information. And confirming calling characteristic information according to the test data and the data relation expression, generating a calling statement, improving the overall coverage rate of the calling statement, shortening the test time and reducing the labor cost.
Description
Technical Field
The present application relates to the field of database technologies, and in particular, to a method, an apparatus, a system, and a medium for generating test data and call statements.
Background
To fully compatible the business logic and SLQ syntax of the history database, a full test of the business is required.
In the process of business testing, a large number of SQL objects with complicated logic exist, such as stored procedures, triggers, packages, automatic functions and the like. These objects tend to have complex logic and long space, and have poor readability for non-business personnel, and meanwhile, due to the problems of data security and data capacity, related data and business logic cannot be assigned to the company environment for developing a database, so that in the process of testing the objects, the background data which can hit all the logic of the objects is lacking, and the disordered data cannot enter related processes; lack of call SQL applicable to current data; the objects are many and have deep layers, interaction exists between the objects, and manpower is very time-consuming and easy to miss for cleaning the data relationship.
Disclosure of Invention
The embodiment of the application mainly aims to provide a method, a device, a system and a medium for generating test data and call sentences, so as to improve the overall coverage rate of the call sentences, shorten the test time and reduce the labor cost.
In one aspect of the present application, there is provided a method for generating test data and a call statement, the method comprising:
obtaining an object file group, analyzing the object file group, and generating a table object file, wherein the table object file comprises a data relation expression;
generating a table rule file according to the table object file and a preset rule;
receiving the count configuration information, and counting the database according to the count configuration information and the table rule file to generate test data;
confirming calling characteristic information according to the test data and the data relation expression;
and generating a corresponding call statement according to the call feature information.
In one embodiment, the obtaining the object file group, analyzing the object file group, and generating a table object file, where the table object file includes a data relational expression, includes:
obtaining an object file group, preprocessing the object file group, and generating a plurality of sub-object files;
analyzing SQL grammar in each sub-object file and outputting a corresponding data relation expression;
and merging and de-duplication processing is carried out on each data relation expression according to the library table, and a corresponding table object file is generated.
In one embodiment, the data relationship expression includes a library name, a table name, a field type, a field value, an object type, a call type.
In one embodiment, the generating a table rule file according to the table object file and a preset rule specifically includes:
and analyzing the table object file, and generating a table rule file with a corresponding structure by combining the data rules in the preset rule base.
In one embodiment, the table rule file contains field names, field types, data rules for all fields.
In one embodiment, the receiving the count configuration information, counting the database according to the count configuration information and the table rule file, and generating test data includes:
receiving database connection information and data volume demand information;
and reading the table rule file, and creating the database according to the database connection information, the data quantity demand information and the table rule file to generate test data.
In one embodiment, said validating call feature information from said test data and said data relationship expression comprises:
analyzing the data relation expression to obtain trigger characteristics of different objects in the object file group;
and acquiring test data generated in the current database, and determining characteristic values of calling sentences aiming at different objects according to the test data and the trigger characteristics.
According to another aspect of the present application, there is provided an apparatus for testing data and calling a sentence, including:
the preprocessing module is used for acquiring an object file group, analyzing the object file group and generating a table object file, wherein the table object file comprises a data relation expression;
the metadata generation module is used for generating a table rule file according to the table object file and a preset rule;
the count module is used for receiving count configuration information, counting the database according to the count configuration information and the table rule file, and generating test data;
the feature analysis module is used for confirming calling feature information according to the test data and the data relation expression;
and the call generation module is used for generating a corresponding call language according to the call characteristic information.
According to another aspect of the present application, there is provided a system for generating test data and call statements, the system comprising at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of generating test data and call statements.
According to another aspect of the present application, there is provided a non-volatile computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform a method of generating test data and call statements.
The beneficial effects are that: according to the technical scheme, the table rule file is generated by analyzing the object file group, and the test data is generated according to the table rule file and the number of database structures according to the number of structures configuration information. And confirming calling characteristic information according to the test data and the data relation expression, generating a calling statement, improving the overall coverage rate of the calling statement, shortening the test time and reducing the labor cost.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for generating test data and call statements provided in accordance with an embodiment of the present application;
FIG. 2 is another flow chart of a method for generating test data and call statements provided in accordance with an embodiment of the present application;
FIG. 3 is a schematic diagram of a functional module of a test data and call statement generating device according to an embodiment of the present application;
fig. 4 is a schematic hardware structure of a system for generating test data and call statements according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a flowchart of a method for generating test data and call statements according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
s100, acquiring an object file group, analyzing the object file group, and generating a table object file, wherein the table object file comprises a data relation expression;
s200, generating a table rule file according to a preset rule according to the table object file;
s300, receiving the count configuration information, and counting the database according to the count configuration information and the table rule file to generate test data;
s400, confirming calling characteristic information according to the test data and the data relation expression;
s500, generating a corresponding call statement according to the call feature information.
In this embodiment, an effective total object file group is obtained, the object file group is automatically analyzed, a table object file containing a data relation expression is generated, a table rule file corresponding to a related table, a field and a value is generated according to a preset rule according to the generated table object file, the count configuration information input by a test developer is received, the count is generated for each branch of the object according to the count configuration information and the table rule file, test data is generated, calling feature information is confirmed according to the test data and the data relation expression, and calling sentences for different branches of different objects are automatically generated according to the calling feature information. The flow of the first analysis object logic and the data in generating the call statement is simplified, the test time is shortened, and the test coverage is improved.
Furthermore, the application aims at the data developer, performs white box analysis under the condition that an object is used in known service, such as the trigger logic SQL full code is included, directly performs weight division coverage on SQL logic, generates data which accords with the service, also includes abnormal and illegal data in the SQL grammar data development stage to a certain extent, and can generate calling sentences according to the generated data in the house money database. And the grammar and functional faults caused by call completion due to lack of sufficient data and corresponding call modes are avoided.
In one embodiment, the step S100 includes:
obtaining an object file group, preprocessing the object file group, and generating a plurality of sub-object files;
analyzing SQL grammar in each sub-object file and outputting a corresponding data relation expression;
and merging and de-duplication processing is carried out on each data relation expression according to the library table, and a corresponding table object file is generated.
In this embodiment, a table object file group is obtained, a synonym reduction is performed on the file group, a trigger in a DML (Data Manipulation Language, DML, data manipulation language) is identified, annotation is ignored, object splitting and the like are processed, a plurality of sub-object files are generated, SQL grammar (Structured Query Language ) in each sub-object file is analyzed in parallel through a plurality of extensible parsing units in the system, a corresponding data relational expression of each sub-object file is output, and the data relational expression comprises a library name, a table name, a field type, a field value, an object type and a call type. And merging and deduplicating the full relationship of each data relationship expression according to the library table (without the object type and the call type) to generate a corresponding table object file. And the manual analysis process is omitted. The labor cost is reduced.
In one embodiment, the step S200 includes:
and analyzing the table object file, and generating a table rule file with a corresponding structure by combining the data rules in the preset rule base.
In this embodiment, the rule data interface converts the table object file into rules in the data rule base and updates the rules to the table rule file. The rule data interface receives the combined and de-regenerated table object files, analyzes each table object file, processes the relational expression in the table object file by combining the data rules in the preset rule base to generate a table rule file with a corresponding structure, independently generates the table rule file containing field names of all fields, field types and data rules according to the table, and the preset rule database defines the data rules such as enumeration, random, self-increment, unique constraint and the like. The generated table rule file is a landing file, and a test developer can manually define and modify rules according to the grammar of the data rule base, so that convenience is provided for test development.
In one embodiment, the step S300 includes:
receiving database connection information and data volume demand information;
and reading the table rule file, and creating the database according to the database connection information, the data quantity demand information and the table rule file to generate test data.
In this embodiment, a table rule file generated according to a data rule base is read, database connection information and a quantity requirement input by configuration of a test developer are received, and test data are generated according to the database connection information, the quantity requirement and the number of database structures of the table rule file. By automatically analyzing the object file, the number of each branch of the object is created, and the problem of difficult number creation is effectively solved.
In one embodiment, the step S400 includes:
analyzing the data relation expression to obtain trigger characteristics of different objects in the object file group;
and acquiring test data generated in the current database, and determining characteristic values of calling sentences aiming at different objects according to the test data and the trigger characteristics.
In this embodiment, the data relational expression of each sub-object file is parsed to obtain the trigger feature corresponding to each sub-object, where the trigger feature includes a trigger SQL type and a trigger condition. And acquiring test data generated in the current database, combining the data relational expression and a direct-connection database selection mode, acquiring the characteristics and the final value of the test data, and determining the characteristic values of the calling sentences for different objects according to the characteristics and the final value of the test data and the trigger SQL type and the trigger condition of the data relational expression. The full coverage of the call statement is achieved.
Still another embodiment of the present application further provides an application flowchart of a method for generating test data and call statements, as shown in fig. 2, specifically including:
1) Obtaining an object file group, preprocessing the object file group, and generating a plurality of sub-object files;
2) Analyzing SQL grammar in each sub-object file and outputting corresponding data relation expression;
3) Merging and de-duplication processing is carried out on each data relation expression according to the library table, and a corresponding table object file is generated;
4) Analyzing the table object file, and generating a table rule file with a corresponding structure by combining data rules in a preset rule base;
5) Receiving the count configuration information, and counting the database according to the count configuration information and the table rule file to generate test data;
6) Analyzing the data relation expression to obtain trigger characteristics of different objects in the object file group;
7) Acquiring test data generated in a current database, and determining characteristic values of calling sentences aiming at different objects according to the test data and trigger characteristics;
8) And generating corresponding call sentences according to the characteristic values of the call sentences of different objects.
In the technical scheme of the embodiment of the application, the table rule file is generated by analyzing the object file group, and the test data is generated according to the table rule file and the number of database structures according to the number of structures configuration information. And confirming calling characteristic information according to the test data and the data relation expression, generating a calling statement, improving the overall coverage rate of the calling statement, shortening the test time and reducing the labor cost.
Fig. 3 is a schematic functional block diagram of a device for generating test data and call statements according to an embodiment of the present application. As shown in fig. 3, the apparatus includes:
the preprocessing module 11 is configured to obtain an object file group, analyze the object file group, and generate a table object file, where the table object file includes a data relationship expression;
a metadata generation module 12, configured to generate a table rule file according to a preset rule according to the table object file;
the count module 13 is configured to receive count configuration information, count the database according to the count configuration information and the table rule file, and generate test data;
a feature parsing module 14, configured to confirm calling feature information according to the test data and the data relational expression;
and the call generation module 15 generates a corresponding call language according to the call characteristic information.
In the technical scheme of the embodiment of the application, the table rule file is generated by analyzing the object file group, and the test data is generated according to the table rule file and the number of database structures according to the number of structures configuration information. And confirming calling characteristic information according to the test data and the data relation expression, generating a calling statement, improving the overall coverage rate of the calling statement, shortening the test time and reducing the labor cost.
In an alternative embodiment, the preprocessing module 11 may include:
the preprocessing unit is used for acquiring an object file group, preprocessing the object file group and generating a plurality of sub-object files;
the parsing unit is used for parsing the SQL grammar in each sub-object file and outputting a corresponding data relation expression;
and the data relation processing unit is used for carrying out merging and deduplication processing on each data relation expression according to the library table to generate a corresponding table object file.
In an alternative embodiment, the parsing unit comprises:
the data relationship expression includes a library name, a table name, a field type, a field value, an object type, and a call type.
In an alternative embodiment, the metadata generation module 12 is specifically configured to:
and analyzing the table object file, and generating a table rule file with a corresponding structure by combining data rules in a preset rule base, wherein the table rule file comprises field names, field types and data rules of all fields.
In an alternative embodiment, the count module 13 may include:
the receiving unit is used for receiving the database connection information and the data volume demand information;
and the count making unit is used for reading the table rule file, making the number of the database according to the database connection information, the data quantity demand information and the table rule file, and generating test data.
In an alternative embodiment, the counting unit may be specifically configured to:
analyzing the data relation expression to obtain trigger characteristics of different objects in the object file group;
and acquiring test data generated in the current database, and determining characteristic values of calling sentences aiming at different objects according to the test data and the trigger characteristics.
The device for generating the test data and the call statement provided by the embodiment of the application can execute the method for generating the test data and the call statement provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of executing the method for generating the test data and the call statement.
Another embodiment of the present application further provides a system for generating test data and call statements, as shown in fig. 4, the system 10 includes:
one or more processors 110 and a memory 120, one processor 110 being illustrated in fig. 4, the processors 110 and the memory 120 being coupled via a bus or other means, the bus coupling being illustrated in fig. 4.
Processor 110 is used to implement various control logic for system 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single-chip microcomputer, ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. The processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP, and/or any other such configuration.
The memory 120 is used as a non-volatile computer readable storage medium, and may be used to store a non-volatile software program, a non-volatile computer executable program, and a module, such as program instructions corresponding to the test data and the generation method of the call statement in the embodiment of the present application. Processor 110 executes various functional applications of system 10 and data processing, i.e., implements the personnel information query method in the method embodiments described above, by running non-volatile software programs, instructions, and units stored in memory 120.
Memory 120 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created from the use of system 10, etc. In addition, memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 120 may optionally include memory located remotely from processor 110, which may be connected to system 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Embodiments of the present application provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform the method steps S100 through S500 of fig. 1 described above.
By way of example, nonvolatile storage media can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM may be available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memories of the operating environments described herein are intended to comprise one or more of these and/or any other suitable types of memory.
In summary, in the method, the device, the system and the medium for generating test data and call sentences, the table rule file is generated by analyzing the object file group, and the test data is generated by constructing the database according to the table rule file and the construction number configuration information. And confirming calling characteristic information according to the test data and the data relation expression, generating a calling statement, improving the overall coverage rate of the calling statement, shortening the test time and reducing the labor cost.
Of course, those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-volatile computer readable storage medium, which when executed may comprise the steps of the above described method embodiments, to instruct related hardware (e.g., processors, controllers, etc.). The storage medium may be a memory, a magnetic disk, a floppy disk, a flash memory, an optical memory, etc.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present application are achieved, and the present application is not limited herein.
The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.
Claims (10)
1. The method for generating the test data and the call statement is characterized by comprising the following steps:
obtaining an object file group, analyzing the object file group, and generating a table object file, wherein the table object file comprises a data relation expression;
generating a table rule file according to the table object file and a preset rule;
receiving the count configuration information, and counting the database according to the count configuration information and the table rule file to generate test data;
confirming calling characteristic information according to the test data and the data relation expression;
and generating a corresponding call statement according to the call feature information.
2. The method for generating test data and call statements according to claim 1, wherein the obtaining the object file group, analyzing the object file group, and generating a table object file, wherein the table object file includes a data relation expression, includes:
obtaining an object file group, preprocessing the object file group, and generating a plurality of sub-object files;
analyzing SQL grammar in each sub-object file and outputting a corresponding data relation expression;
and merging and de-duplication processing is carried out on each data relation expression according to the library table, and a corresponding table object file is generated.
3. The method for generating test data and call statements according to claim 1 or 2, wherein the data relation expression comprises a library name, a table name, a field type, a field value, an object type, and a call type.
4. The method for generating test data and call sentences according to claim 1, wherein said generating a table rule file according to a preset rule from said table object file comprises:
and analyzing the table object file, and generating a table rule file with a corresponding structure by combining the data rules in the preset rule base.
5. The method for generating test data and call statements according to claim 4, wherein said table rule file contains field names, field types, and data rules of all fields.
6. The method for generating test data and call statements according to claim 1, wherein said receiving the count configuration information, counting the database according to the count configuration information and the table rule file, generating test data comprises:
receiving database connection information and data volume demand information;
and reading the table rule file, and creating the database according to the database connection information, the data quantity demand information and the table rule file to generate test data.
7. The method for generating test data and call statements according to claim 6, wherein said validating call feature information according to said test data and said data relational expression comprises:
analyzing the data relation expression to obtain trigger characteristics of different objects in the object file group;
and acquiring test data generated in the current database, and determining characteristic values of calling sentences aiming at different objects according to the test data and the trigger characteristics.
8. A test data and call statement generation apparatus, comprising:
the preprocessing module is used for acquiring an object file group, analyzing the object file group and generating a table object file, wherein the table object file comprises a data relation expression;
the metadata generation module is used for generating a table rule file according to the table object file and a preset rule;
the count module is used for receiving count configuration information, counting the database according to the count configuration information and the table rule file, and generating test data;
the feature analysis module is used for confirming calling feature information according to the test data and the data relation expression;
and the call generation module is used for generating corresponding call sentences according to the call characteristic information.
9. A system for generating test data and call statements, said system comprising at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of generating test data and call statements of any one of claims 1-7.
10. A non-transitory computer-readable storage medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to perform the method of generating test data and call statements of any one of claims 1-7.
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