CN105550333A - MongoDB-based test data storage query method and system - Google Patents
MongoDB-based test data storage query method and system Download PDFInfo
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- 238000012360 testing method Methods 0.000 title claims abstract description 151
- 238000013500 data storage Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000004806 packaging method and process Methods 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 11
- 238000005538 encapsulation Methods 0.000 claims description 5
- 238000009434 installation Methods 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000003780 insertion Methods 0.000 claims description 3
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
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- 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
- G06F16/245—Query processing
- G06F16/2455—Query execution
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Abstract
The invention provides a MongoDB-based test data storage query method and system. The method comprises the following steps: installing a MongoDB database on a server, independently carrying out information configuration on the MongoDB database and the server to realize a purpose that a test client side accesses the MongoDB database through the server; uploading test data obtained by the test client side to the server; calling a packaging center to package the test data received by the server into a BSON (Binary Serialized Document) format; calling a MongoDB driver to be connected with the MongoDB database, and inserting the test data of the BSON format into the MongoDB database; and inquiring a query condition on the query page of the server, calling the MongoDB driver to be connected with the MongoDB database, and querying test data corresponding to the query condition in the MongoDB database. A small space can be occupied to store large-scale test data, the query speed of the test data can be improved, in addition, the performance consumption of the server is reduced, and system efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data storage, in particular to a MongoDB-based test data storage query method and system.
Background
In the manufacturing process of an enterprise, various products, materials, equipment and the like are generally required to be subjected to performance tests in a diversity mode so as to ensure the quality of the products. Due to different test emphasis and performance, for example, some electronic products need to be subjected to acoustic test, audio test, optical test, air tightness test, and the like, and these various test stations and test items bring great challenges to storage, query, and analysis of test data.
The main difficulties in storing, querying and analyzing test data are as follows:
1. due to the difference of test principles and test parameters of different test stations and the wide distribution of technologies and departments of test program developers, it is difficult to require that each test station adopts a uniform data format. For example, some data formats are Json format, some data formats are XML format, and the like, and unified storage cannot be performed.
2. Many products need to pass through a plurality of test stations in the production process, the number of test items included in each test station is not uniform, and challenges are brought to the storage of a relational database; although the storage problem can be solved by a certain database design skill, a large amount of storage space is required, and the conversion between the test data and the relational database greatly consumes the performance of the server and reduces the efficiency of the system.
The traditional test data storage management methods mainly comprise two methods, one is to store test data in a server hard disk in a file form and carry out path management through a table of a relational database, when in query, a test file path of a product is obtained through a database table, then each test file is analyzed at a specified position of a disk, and other analysis is carried out; although the scheme can solve the problem of storage management, the test files need to be opened one by one during analysis, and frequent read-write access of the IO disk greatly influences the performance of the disk and the CPU; meanwhile, for test data to be analyzed, the test data must be opened completely, the memory is loaded once, and the utilization rate of the memory is poor.
The other is to design a general relational database table structure, and realize the storage of multiple test items of multiple test stations through the joint storage of multiple tables, although the storage and analysis performance is greatly solved. However, the test data in a specific format still needs to be parsed into the table one by one, and the test data in the table also needs to be restored to the original state when query parsing is performed, so that the performance is still not ideal. Moreover, the database table structure is very dependent on specific services, and when the services are changed, the fields of the table and even the whole table structure system may need to be modified.
Disclosure of Invention
In view of the uploading problem, the present invention aims to provide a test data storage query method and system based on the MongoDB, so as to solve the problems pointed out in the uploading background technology.
The invention provides a MongoDB-based test data storage query method, which comprises a preprocessing stage, a data storage stage and a data query stage; wherein,
a pre-treatment stage comprising:
installing the MongoDB database on a server, and respectively configuring information of the MongoDB database and the server so as to realize the access of a test client to the MongoDB database through the server;
a data storage phase comprising:
uploading test data obtained by a test client to a server;
calling a packaging center to package the test data received by the server into a BSON format;
calling a MongoDB drive to connect a MongoDB database, and inserting test data in a BSON format into the MongoDB database;
a data query phase comprising:
a query condition is entered on a query page of the server,
and calling the MongoDB driver to connect the MongoDB database, and inquiring the test data corresponding to the inquiry conditions in the MongoDB database.
The invention also provides a MongoDB-based test data storage query system, which comprises:
the database installation unit is used for installing the MongoDB database on the server;
the information configuration unit is used for respectively performing information configuration on the MongoDB database and the server so as to realize the access of the test client to the MongoDB database through the server;
the data uploading unit is used for uploading the test data obtained by the test client to the server;
the data packaging unit is used for calling a packaging center to package the test data received by the server into a BSON format;
the data insertion unit is used for calling the MongoDB driver to connect the MongoDB database and inserting the test data in the BSON format into the MongoDB database;
a query condition input unit for inputting a query condition on a query page of the server;
and the data query unit is used for calling the MongoDB driver to be connected with the MongoDB database and querying the test data corresponding to the query conditions in the MongoDB database.
According to the MongoDB-based test data storage query method and system, the MongoDB database is introduced, the test data of different models are uniformly packaged into a fixed format and stored into the MongoDB database, and when the test data are queried, query conditions are directly and dynamically constructed to be queried in the MongoDB database, so that the MongoDB can be conveniently returned to service personnel for query and analysis. Because the MongoDB database is stored in a set-oriented mode, the MongoDB database can be directly inserted into the MongoDB database after the test data is packaged into a fixed format; moreover, the MongoDB database supports dynamic query and full index, and can greatly improve the query speed.
To the accomplishment of the foregoing and related ends, one or more aspects of the invention comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative aspects of the invention. These aspects are indicative, however, of but a few of the various ways in which the principles of the invention may be employed. Further, the present invention is intended to include all such aspects and their equivalents.
Drawings
Other objects and results of the present invention will become more apparent and more readily appreciated as the same becomes better understood by reference to the following description and appended claims, taken in conjunction with the accompanying drawings. In the drawings:
FIG. 1 is a flow chart of a MongoDB-based test data storage query method according to an embodiment of the invention;
FIG. 2 is a schematic diagram illustrating an interaction process of a testing client, a server, a packaging center and a MongoDB database according to an embodiment of the present invention;
FIG. 3 is a logic structure diagram of a MongoDB-based test data storage query system according to an embodiment of the invention.
The same reference numbers in all figures indicate similar or corresponding features or functions.
Detailed Description
In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that such embodiment(s) may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing one or more embodiments.
The noun explains:
the MongoDB database is a product that is intermediate between relational and non-relational databases. The data structure supported by the MongoDB database is very loose, and therefore, more complex data types can be stored. The MongoDB database has the biggest characteristic that the supported query language is very strong, the grammar of the MongoDB database is similar to the object-oriented query language, almost the most functions of single-table query of a similar relational database can be realized, and the index establishment of data is supported.
Since the MongoDB database supports object models for any business type, the object models are stored in the MongoDB database in a BSON format. Therefore, the invention formulates a uniform object model according to the service requirement of the test data, uniformly encapsulates the test data into the formulated object model, and stores the formulated object model into the MongoDB database. If the service has partial change, only the formulated object model needs to be modified, and the background and the MongoDB database do not need to be changed.
FIG. 1 shows a flow of a MongoDB-based test data storage query method according to an embodiment of the invention.
As shown in fig. 1, the montodb-based test data storage query method provided by the embodiment of the present invention includes a preprocessing stage, a data storage stage, and a data query stage; the preprocessing stage is used for configuring a MongoDB database and a server, and the server serves as an intermediate station and plays a role in connecting the testing client side with the MongoDB database; the data storage stage is used for packaging the test data obtained by the test client into a fixed model and storing the fixed model into a MongoDB database; and the data query stage is used for querying the test data stored in the MongoDB database.
In the pretreatment stage, the method comprises the following steps:
step S110: and installing the MongoDB database on the server, and respectively configuring information of the MongoDB database and the server so as to realize the access of the test client to the MongoDB database through the server.
The test data is obtained through testing of the test client, the MongoDB database is installed on the server, communication between the test client and the server is achieved, communication between the test client and the MongoDB database can be achieved, and the test data is stored in the MongoDB database.
Specifically, the information configuration performed on the server includes IP and port configurations, and after the IP and port configurations are completed, the test client can be connected to the server through the configured IP and port.
The information configuration of the MongoDB database comprises the configuration of the name, the user name and the password of the MongoDB database, after the configuration of the name, the user name and the password of the MongoDB database is completed, the test client can transmit the test data into the specific MongoDB database through the configured database name, and the correct user name and the correct password need to be input when the MongoDB database is accessed.
In the data storage phase, the method comprises the following steps:
step S120: and uploading the test data obtained by the test client to the server.
The operation body for uploading data is a test client, and the test client uploads the obtained test data to the server after completing the product test. The uploading process comprises the following specific steps: and the test client calls the web application interface, calls the web service on the server through the web application interface and uploads the test data to the server.
Step S130: and calling a packaging center to package the test data received by the server into a BSON format.
In this step, the server calls a packaging center, and the packaging center performs format packaging on the test data uploaded to the server.
The packaging center comprises a plurality of packaging workshops, each packaging workshop can package test data in one format, and the packaging workshops are determined to package according to the formats of the uploaded test data. Therefore, the packaging center can package the test data with various formats, namely, the test data with various specific formats is packaged into a uniform object model, and the object model is stored in the MongoDB database in a BSON format.
Step S140: and calling the MongoDB driver to connect the MongoDB database, and inserting the test data in the BSON format into the MongoDB database.
After the encapsulation center completes encapsulation of the test data, the server calls the MongoDB driver to store the object model formed by encapsulation in the MongoDB database in a BSON format.
The MongoDB driver is an interface responsible for increasing, deleting, modifying and checking a MOngoDB database, is equivalent to a plurality of method functions, inserts data by calling an insertion method of the MongoDB driver when test data needs to be inserted, and queries data by calling a query method in the MongoDB driver when the test data needs to be queried.
In the data query phase, the method comprises the following steps:
step S150: the query condition is entered on a query page of the server.
Step S160: and calling the MongoDB driver to connect the MongoDB database, and inquiring the test data corresponding to the inquiry conditions in the MongoDB database.
The server calls the MongoDB driver to be connected with the MongoDB database, and corresponding test data is inquired in the MongoDB database according to the inquiry conditions.
In step S160, the query page includes a query condition and a query result list, and by inputting the query condition (the input method may be a click or a manual input), the corresponding test data is queried in the montogdb database, and the queried test data is displayed on the query result list as a query result. In addition, a plurality of query conditions can be clicked at the same time, the MongoDB database is queried after the query conditions are dynamically spliced together, and the query result is displayed on the query result list.
The inquired test data is the object model encapsulated corresponding to the inquired test data, so that the returned inquiry result is also the object model and can be directly loaded into an inquiry result list in the inquiry page for displaying. The query page queries, counts, and analyzes the returned object model.
The above details describe the flow of the montgodb-based test data storage query method provided by the present invention, and fig. 2 shows the interaction process between the test client, the server, the encapsulation center and the montgodb database according to the embodiment of the present invention, in order to describe the interaction process between the test client, the server, the encapsulation center and the montgodb database. As shown in fig. 2, first, the testing client calls the web interface to upload the obtained testing data to the server (step S201), then, the server calls a packaging center (step S202), and the packaging center packages the test data uploaded to the server, packages the test data into a uniform object model (step S203), after the encapsulation is completed, the server calls the MongoDB driver to connect to the MongoDB database, inserts the object model into the MongoDB database, completes the storage of the test data in the MongoDB database (step S204), and when inquiring the test data, the query condition is input on the query page of the server (step S205), and then the server calls the MongoDB driver to connect the MongoDB database, the MongoDB database queries the corresponding test data according to the query conditions (step S206), and returns the object model corresponding to the test data to the query result list of the query page of the server (step S207).
The above details describe the MongoDB-based test data storage query method provided by the invention. Corresponding to the uploading method, the invention also provides a MongoDB-based test data storage and query system.
FIG. 3 illustrates the logical structure of a MongoDB-based test data storage query system according to an embodiment of the invention.
As shown in fig. 3, the montodb-based test data storage query system 300 according to an embodiment of the present invention includes a database installation unit 310, an information configuration unit 320, a data uploading unit 330, a data packaging unit 340, a data insertion unit 350, a query condition input unit 360, and a data query unit 370.
Wherein, the database installation unit 310 is used for installing the MongoDB database on the server;
the information configuration unit 320 is used for respectively performing information configuration on the MongoDB database and the server so as to realize the access of the test client to the MongoDB database through the server;
the data uploading unit 330 is configured to upload test data obtained by the test client to the server;
the data encapsulation unit 340 is used for calling an encapsulation center to encapsulate the test data received by the server into a BSON format;
the data inserting unit 350 is used for calling the MongoDB driver to connect the MongoDB database and inserting the test data in the BSON format into the MongoDB database;
the query condition input unit 360 is used for inputting a query condition on a query page of the server;
the data query unit 370 is used to call the MongoDB driver to connect with the MongoDB database, and query the Mongodb database for the test data corresponding to the query conditions.
In addition, the information configuration unit 320 includes a server configuration module 321 and a MongoDB database configuration module 322, wherein the server configuration module 321 is used for configuring the IP and the port of the server; the MongoDB database configuration module 322 is used for configuring the name, user name and password of the MongoDB database.
In addition, the packaging center called by the data packaging unit 340 packages the test data in different formats, and is used for uniformly packaging the test data in different formats into a BSON format, and storing the BSON format in the MongoDB database.
Furthermore, the query condition input unit 360 includes a query condition splicing module 361, configured to dynamically splice the input query conditions when at least two query conditions are input on the query page of the server; and the data query unit 370 queries in the MongoDB database according to the spliced query conditions.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A MongoDB-based test data storage query method comprises a preprocessing stage, a data storage stage and a data query stage; wherein,
the pretreatment stage comprises:
installing a MongoDB database on a server, and respectively configuring information of the MongoDB database and the server so as to realize the access of a test client to the MongoDB database through the server;
the data storage phase comprises the following steps:
uploading the test data obtained by the test client to the server;
calling a packaging center to package the test data received by the server into a BSON format;
calling a MongoDB drive to connect the MongoDB database, and inserting test data in a BSON format into the MongoDB database;
the data query phase comprises the following steps:
inputting a query condition on a query page of the server;
and calling the MongoDB driver to connect the MongoDB database, and inquiring the test data corresponding to the inquiry condition in the MongoDB database.
2. The MongoDB-based test data storage query method of claim 1,
respectively configuring the IP and the port of the server in the process of configuring the information of the server; and the number of the first and second groups,
and respectively configuring the name, the user name and the password of the MongoDB database in the process of configuring the information of the MongoDB database.
3. The MongoDB-based test data storage query method of claim 1,
the packaging center packages the test data in different formats, is used for uniformly packaging the test data in different formats into a BSON format, and stores the BSON format in the MongoDB database.
4. The MongoDB-based test data storage query method of claim 1,
dynamically splicing at least two query conditions input on the query page of the server; and the number of the first and second groups,
and querying the MongoDB database according to the spliced query conditions.
5. A MongoDB-based test data storage query system, comprising:
the database installation unit is used for installing the MongoDB database on the server;
the information configuration unit is used for respectively performing information configuration on the MongoDB database and the server so as to realize the access of a test client to the MongoDB database through the server;
the data uploading unit is used for uploading the test data obtained by the test client to the server;
the data packaging unit is used for calling a packaging center to package the test data received by the server into a BSON format;
the data insertion unit is used for calling a MongoDB drive to be connected with the MongoDB database and inserting test data in a BSON format into the MongoDB database;
a query condition input unit for inputting a query condition on a query page of the server;
and the data query unit is used for calling the MongoDB driver to be connected with the MongoDB database and querying the MongoDB database for the test data corresponding to the query conditions.
6. The MongoDB-based test data storage query system of claim 5,
the information configuration unit includes:
the server configuration module is used for configuring the IP and the port of the server;
and the MongoDB database configuration module is used for configuring the name, the user name and the password of the MongoDB database.
7. The MongoDB-based test data storage query system of claim 5, wherein the encapsulation center called by the data encapsulation unit encapsulates test data of different formats for uniformly encapsulating the test data of different formats into a BSON format for storage in the MongoDB database.
8. The MongoDB-based test data storage query system of claim 5,
the query condition input unit comprises a query condition splicing module used for dynamically splicing the input query conditions when the number of the query conditions input on the query page of the server is at least two; and the number of the first and second groups,
and the data query unit queries in the MongoDB database according to the spliced query conditions.
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