CN107544895A - Hadoop big datas platform testing system and method - Google Patents
Hadoop big datas platform testing system and method Download PDFInfo
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- CN107544895A CN107544895A CN201610488128.6A CN201610488128A CN107544895A CN 107544895 A CN107544895 A CN 107544895A CN 201610488128 A CN201610488128 A CN 201610488128A CN 107544895 A CN107544895 A CN 107544895A
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Abstract
The embodiment of the present invention provides a kind of Hadoop big datas platform testing system and method, and data generation module corresponding to each Hadoop components is uniformly arranged in data generating platform, and generation management module is set in data generating platform；It will load and be uniformly arranged in load execution platform corresponding to each Hadoop components, and the load management module for managing each load is set in load performs platform；In test, user only needs to issue the test profile including being tested Hadoop components and Test Strategy, and data generate management module and loaded according to the corresponding test data of Test Strategy generation for the tested Hadoop components；The load according to corresponding to selecting Test Strategy of load management module, which is loaded on tested Hadoop components, carries out performance test, and obtains test result and be stored in test data data storage storehouse.User need not study various testing tools and be selected manually in test process, can lift the ease for use of test, accuracy, and can simplify test process, reduce manual operation.
Description
Technical field
The present invention relates to technical field of distributed memory, more particularly to a kind of Hadoop big datas platform testing system and side
Method.
Background technology
Hadoop is an open source software framework that distributed treatment can be carried out to mass data.Today the big numbers of Hadoop
The early stage of development is according to platform, various new architectures, new product and new demand servicing continue to bring out, and the link such as research and develop, purchase, checking and accepting and compeling
It is essential and wants performance measure standard to draw.There is corresponding survey currently for each Hadoop components of Hadoop big data platforms
Trial work has, and a testing tool includes data generating part and loading section, and existing each testing tool is all separate
, what is externally provided is all different program entries, and each testing tool has different uses, method for parameter configuration.Exist at present
When carrying out performance test to Hadoop big datas platform, it is necessary to which artificial selection is with treating when being tested for each Hadoop components
Testing tool corresponding to the Hadoop components of test, then it is loaded into by selected testing tool generation test data to be tested
Tested on component, each link of whole process is required for manually participating in, and causes test period longer, and test process is by people
Had a great influence for factor.
The content of the invention
Hadoop big datas platform testing system provided in an embodiment of the present invention and method, main technical problems to be solved
It is：Solve that the testing tool of each Hadoop components of existing Hadoop big datas platform is separate, what is externally provided is all different
Program entry, call testing tool when need artificial selection testing tool to cause test period to be grown, test is affected by human factors
The problem of big.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of Hadoop big datas platform testing system, including：
Data generating platform, load perform platform and test data data storage storehouse；
The data generating platform includes data generation management module and data corresponding with each Hadoop components generation mould
Block；The load, which performs platform, includes load management module and load corresponding with each Hadoop components；
The data generation management module is used to receive the test configurations for including tested Hadoop components and Test Strategy
After file, corresponding data generation module is selected to generate corresponding test data for described tested according to the Test Strategy
Hadoop components load；
Load corresponding to the Test Strategy selection that the load management module is used in the test profile adds
It is downloaded on the tested Hadoop components and carries out performance test, and obtains test result and be stored in the test data data storage
In storehouse.
The embodiment of the present invention also provides a kind of Hadoop big datas platform test method, including：
Data generating platform receives the test profile for including tested Hadoop components and Test Strategy, according to described
Test Strategy selects corresponding data generation module to generate corresponding test data for the tested Hadoop components loading, described
Data generating platform includes data generation module corresponding with each Hadoop components；
Described in load corresponding to Test Strategy selection of the load execution platform in the test profile is loaded into
Performance test is carried out on tested Hadoop components, and obtains test result and is stored in test data data storage storehouse；It is described negative
Carry and perform platform including being loaded corresponding to each Hadoop components.
The embodiment of the present invention also provides a kind of computer-readable storage medium, and computer is stored with the computer-readable storage medium
Executable instruction, the computer executable instructions are used to perform foregoing Hadoop big data platform test methods.
The beneficial effects of the invention are as follows：
Hadoop big datas platform testing system, method and the storage medium provided according to embodiments of the present invention, will be each
Data generation module is uniformly arranged in data generating platform corresponding to Hadoop components, and pipe is set in data generating platform
Manage the data generation management module of each data generation module；It will be loaded corresponding to each Hadoop components and be uniformly arranged on load execution
In platform, and the load management module for managing each load is set in load performs platform；In test, user only needs to issue
Test profile including being tested Hadoop components and Test Strategy, the data generation management module root of data generating platform
Corresponding test data is generated for the tested Hadoop components loading according to Test Strategy；Load management module is according to test configurations
Load corresponding to Test Strategy selection in file, which is loaded on tested Hadoop components, carries out performance test, and obtains test knot
Fruit is stored in test data data storage storehouse.Data generation module and load are uniformly arranged on corresponding flat by the present invention respectively
Unified entrance is externally provided in platform by corresponding management module, matched somebody with somebody according to the test comprising Test Strategy that user sends
Put file and automatically select corresponding data generation module and load.User need not study various testing tools and carry out manually
Selection, the ease for use of test can be lifted, reduce manual operation, lifting test accuracy and simplified test process.
Brief description of the drawings
Fig. 1 is Hadoop big data platform testing systems structural representation one in the embodiment of the present invention one；
Fig. 2 is Hadoop big data platform testing systems structural representation two in the embodiment of the present invention one；
Fig. 3 is Hadoop big data platform testing systems structural representation three in the embodiment of the present invention one；
Fig. 4 is Hadoop big data platform testing systems structural representation four in the embodiment of the present invention one；
Fig. 5 is Hadoop big data platform testing systems structural representation five in the embodiment of the present invention one；
Fig. 6 is Hadoop big data platform testing system block schematic illustrations in the embodiment of the present invention two；
Fig. 7 is Hadoop big data platform test method flow schematic diagrams in the embodiment of the present invention two.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment in the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Embodiment one：
It is shown in Figure 1, a kind of Hadoop big data platform testing systems of the present embodiment offer, data generating platform,
Load performs platform and test data data storage storehouse；
Wherein, data generating platform includes data generation management module and data corresponding with each Hadoop components generation mould
Block.Data generation management module can receive the test comprising tested Hadoop components and Test Strategy that tester issues
Configuration file, and the data generation module according to corresponding to automatically selecting Test Strategy generates corresponding test data for tested
Hadoop components load.Specifically, data generation management module can by data generation module generate test data store to
In the distributed storage database Hdfs (Hadoop Distributed File System) of Hadoop big data platforms, for
Loaded by side Hadoop components in test process.Data generation module in the present embodiment is probably with Hadoop components
It one-to-one relationship, can be able to be one-to-many or many-to-one relation, specifically need according to specific Hadoop big datas platform
The factor such as networking depending on.Integrate and be encapsulated into a data generating platform by each data generation module, and pass through data
Generation management module is provided out unified interaction handing-over mouth, and user only needs to configure corresponding parameter in test profile
Information is that automatically selecting for corresponding data generation module can be achieved, easy to use, efficient and accurate.
By said process, on the basis of legacy data generation module, increase uniform data generation layer, namely data life
Into management module, reach the unification of data generation entrance, data scale configuration unification, the generating process automation of each test load
Upload the target of hdfs file system automatically with data.
The Test Strategy that tester issues in the present embodiment includes loading corresponding to tested Hadoop components, and correspondingly
Each load needs the parameter of the test data generated.Data generation management module can select corresponding number according to these parameters
Configured according to generation module to generate corresponding test data.
Load, which performs platform, includes load management module and corresponding with each Hadoop components of Hadoop big data platforms
Load.Load is the specific tasks that big data needs to perform, and for processing data and produces result, loads big data platform
Using being abstracted into some basic operations.Due to industry and the difference in field, its application has the characteristics of many different.In the present embodiment
By each load corresponding to each Hadoop components a load is also integrated and is encapsulated in perform in platform, by load management module to
It is outer that unified interactive interface is provided.User is in test by configuring different parameter inputs i.e. achievable pair in Test Strategy
What should be loaded automatically selects, and further improves the simplicity, efficiency and the degree of accuracy of test.Specifically, load management module
The load corresponding with tested Hadoop components included for the Test Strategy in test profile is from all loads
Select to load to be loaded on tested Hadoop components accordingly and carry out performance test, and obtain test result and be stored in test number
According in data storage storehouse.Load management module is counted automatically to the test result of acquisition automatically always according to default parser
Point counting is analysed.And load management module can also export corresponding test log after being completed and be stored.In the present embodiment,
Load performs load on platform from resource consumption angular divisions, can include computation-intensive load, the intensive loads of I/O and
At least one of intensive load of mixing.The load specifically included is also required to the specific networking according to Hadoop big data platforms
Flexibly confirm etc. factor.
Test data data storage storehouse in the present embodiment can specifically use distributed time series database (influxdb numbers
According to storehouse), influxdb databases be one increase income, distribution, time series, event can measure and without outside rely on data
Storehouse.
Load management module in the present embodiment can generate management module from data and obtain test profile, can also
Directly receive the test profile that tester issues.Specifically, shown in Figure 2, the big numbers of Hadoop in the present embodiment
File configuration platform can also be included according to platform testing system, the instruction for being issued according to test user generates the test configurations
File, and data generation management module is handed down to, load management module is then handed down to by data generation management module.Or text
Part configuration platform can directly be handed down to data generation module and the load management module.
It should be appreciated that a Hadoop component may correspond to one or more nodes in the present embodiment, under component
The load of node load operating initiate test assignment, each node under component performs the test assignment and completes test.
It should be appreciated that the data generating platform and load execution platform in the present embodiment can be on different nodes
Realize, can also be realized on unified node.And the file configuration platform in the present embodiment can also with data generating platform and/
Or load performs platform and realized in same node, can also be realized in different nodes, or directly pass through special file configuration
Server or PC are realized.
Without intuitively system index information, it is necessary to manually for every during the existing big data platform test to Hadoop
Individual test item distribution and start and stop monitoring tools monitor to hit the target, and be might have in the case where cluster scale is larger on tens
Hundred nodes, comprehensive indicator-specific statistics become highly difficult, and statistical indicator can not show in real time in test process；The above
Problem brings very big puzzlement to tester, the life manufacturer of big data plateform system and user all need badly one facilitate it is easy-to-use, cover
Comprehensive, multiple functional test frame is covered to complete the performance test to big data plateform system.Therefore, it is shown in Figure 3,
Hadoop big datas platform testing system in the present embodiment also includes displaying management platform；
Displaying management platform includes index tool management module, Monitoring Indexes instrument and offline index display module；
Index tool management module is used to be loaded when being supported on tested Hadoop assembly operatings progress performance test,
Each node host is distributed and starts Monitoring Indexes instrument (can specifically use Mmon instruments) progress under to tested Hadoop components
Main frame index collection；And for after the load running being tested on Hadoop components, stopping the index of each node host
Monitoring instrument, and collect the main frame index that each Monitoring Indexes instrument obtains, and the main frame index collected can be stored in test number
According in data storage storehouse.
Offline index display module, for after the load running being tested on Hadoop components, being obtained after collecting
Main frame index be shown.The displaying is the system carried out after being completed to once testing the All hosts index collected
One displaying.The present embodiment can also be timed collection displaying to main frame index in test process.It is shown in Figure 4, displaying management
Platform also includes index real-time exhibition module；
Load management module is additionally operable to according to setting time interval to bristling with anger under each node host under tested Hadoop components
Real-time acquisition instructions are marked, and the main frame index for receiving each node feeding back is stored into test data data storage storehouse；Index is real-time
Display module then can be used for the main frame index for extracting each node host timing feedback from test data data storage storehouse to be opened up
Show.The performance indications change that by showing in real time tester can be facilitated to understand all nodes at any time, it is convenient that performance is surveyed
Data analysis is tried, is easy to find the bottleneck of system in time and performance optimization direction is provided.
Shown in Figure 5, the displaying management platform in the present embodiment also includes test result display module, for from test
Test result is extracted in data storage database to be shown, namely after being completed, can will be stored in test data and be deposited
Test result in storage database is shown, further appreciating that and analyzing in order to multiple joint behaviors.
The present embodiment of displaying in to(for) main frame index and test result can be by corresponding instrument board and graphics edition
Device is realized, is realized for example with Grafana instrument disc tool.And the collection result in the present embodiment can also have load management mould
Block carries out automatic data collection, analysis, error caused by can further avoiding artificial collection and calculating, realizes that standard is unified.
Embodiment two：
Embodiment is on the basis of embodiment one, with reference to a kind of specific Hadoop big data platform testing system frame diagrams
And method of testing, further illustration is done to the present invention.
It is shown in Figure 6, Hadoop big data platform testing systems framework include basic platform, load management platform and
Management platform is shown, is not shown in data generating platform figure.
Wherein, base platform is the object of performance test, namely Hadoop components, and automatic performance test run
Carrier, there is provided a variety of big data services such as distributed storage, calculating, search.The Hadoop components of example include in Fig. 6
Spark distributed computing frameworks, HadoopLoader distributed storages loading tool, Hbase distributions chain database, Yarn
Distributed computing framework etc..
Load management podium level be performance test automation realization layer, including a variety of big data performance tests load and
Load management module (not shown), selection and the automatic data acquisition and calculation of test result, storage for realization etc., wherein
It further comprises test data data storage storehouse influxdb databases.
Displaying management platform layer includes Nmon Monitoring Indexes instrument, Grafana instrument disc tool and main frame and referred to offline
Display module, main frame real-time indicators display module and test result display module are marked, is realized to the real-time collection of main frame and survey
Individually two latitudes of collection are monitored displaying to examination item to host resource service condition.Main frame indicates that display module can lead in real time
Overload management module performs customization collection and thought, the collection to main frame index is completed by Sar index collections.Shown based on above-mentioned
Example test system framework, it is mainly to include following processing procedure to carry out Hadoop big data platform performance tests：
Test data generation part
The test data of generation can include text data, graph data and table data, and corresponding data generation module can
So that by modeling, first feature is applied in extraction from real data sample, random generation is surveyed again on the premise of keeping applying feature
Sample sheet.Configured for the scale of each load generation data by the way that configuration file is unified, log-on data is put in storage by consolidator
Generate, it is automatic after file generated to upload in Hdfs distributed storage databases.
Basic platform realizes part
Storage calculating platform based on bottom, with Hadoop distributed storages, spark distributed computing frameworks etc. for base
Plinth, there is provided the distributed storage of data and calculating, the control of authority.There is provided data simultaneously the service such as imports and exports.
Part is realized in test
Realize the major function logic of performance test in this part.Include data generation, test execution, index monitoring and result
Collect.
The performance test of example includes the transmission of file transfer files, BasicDatastoreOperations in figure
Basic data storage operation, E-commerce ecommerce, SNS social network sites, SearchEngine search engines,
MicroBenchmarks micro benchmarks, Interactive_Query offline search, the search of NoSQLSearchPlatform platforms etc.
8 load names, the algorithm under 8 load names is specific load program or algorithm.Cover Hive on spark distributions
The components such as formula data, Hbase distributions chain database, Spark distributed computing frameworks.The selection of test scene is big data
The specific tasks performed are needed, for processing data and result is produced, loads and the application of big data platform is abstracted into some bases
This operation.Include the load of multiple industry field different characteristics, computation-intensive, I/O are loaded with terms of system resources consumption
Intensive and mixing is intensive.For example, the CDR inquiry of operator needs repeatedly to call database, it is typical I/O intensive
Task；It is typical computation-intensive task and the cluster process of internet needs substantial amounts of iterative calculation；In search engine
PageRank algorithms (Algorithms for Page Ranking) had both needed data exchange constantly to iterate to calculate again, belonged to Hybrid tasks；It is logical
The situation of overload operation weighs the performance of big data platform.
By load management module, this unifies entrance, according to the sign different loads parameter configured in test profile
Id selects the execution of different loads, performs load management module when starting and each node distribution under Hadoop components is tested from trend
And start nmon instruments.Load execution terminates rear test log and is aggregated into the configuration path specified in test profile, tests
As a result influxdb databases are write by automatic calculate, at the same time kill falls each node nmon processes and collects nmon data
Into configuration file or default fixed position.
Load management module specifically can realize the distribution of nmon instruments by each node exempted from automatically in intensive group, open
Stop and the collection of nmon monitored results, and generate timed task and gather each node achievement data using Sar orders, write
Influxdb databases.
Data display part
It is that test result and test pilot process main frame indication information are showed, by visualizing instrument and graph mode
Intuitively reaction test situation.Grafana is influxdb instrument boards and graphic editor, and influxdb is one and increased income, point
Cloth, time series, event, database mensurable and without outside dependence.Both have been implemented in combination with test data and index
Graphical representation.
Below with the performance test citing to this component of hdooploader, specific flow is shown in Figure 7, including：
S701：Test profile configuration is carried out, it is hdooploader that tested component is configured in configuration file, is also wrapped
Test Strategy is included, comprising the data scale needed for the test item, is configured to 500GB, corresponding load and parameter etc. herein.
S702：Data generation step is performed, is passed to test profile, parameter is corresponded to according to the test item, starts data
Generation.
S703：Test load operation program is performed, starts test data uploading HDFS distributed file systems.
S704：Test distributes index monitoring tools to each main frame under tested cluster simultaneously and starts monitoring, test process
Export the main frame index collected.Now tester observes main frame index monitor dial plate and test result daily record.
S705：Test process performs completion, and the automatic test item that records takes, and according to 500GB data volumes and testing time
Calculate clustering performance；Then cluster system nodes are read automatically, and single node performance, test knot are calculated according to clustering performance
Fruit storage visualization is shown in instrument board, and exports final test log.
S706：It is automatic to collect the index monitoring file collected on each node, subsequently to export test report.
Data generation module corresponding to each Hadoop components is uniformly arranged in data generating platform by the embodiment of the present invention,
And the data generation management module for managing each data generation module is set in data generating platform；Each Hadoop components is corresponding
Load be uniformly arranged on load and perform in platform, and the load management mould for managing each load is set in load performs platform
Block；In test, user only needs to issue the test profile including being tested Hadoop components and Test Strategy, data
The data generation management module of generating platform generates corresponding test data according to Test Strategy and supplies the tested Hadoop components
Loading；Load corresponding to Test Strategy selection of the load management module in test profile is loaded into tested Hadoop groups
Performance test is carried out on part, user need not study various testing tools and be selected manually, can lift the easy of test
With property, manual operation, lifting test accuracy and simplified test process are reduced.And the present invention terminates in test process with test
It can carry out showing in real time and offline with the index of each node host of automatic data collection afterwards, in order to which user is timely, accurate
Solve each host resource service condition.Manual operation is reduced as far as possible, lifts the efficiency and accuracy of test.
Above content is to combine the further description that specific embodiment is made to the embodiment of the present invention, it is impossible to is recognized
The specific implementation of the fixed present invention is confined to these explanations.For general technical staff of the technical field of the invention,
Without departing from the inventive concept of the premise, some simple deduction or replace can also be made, should all be considered as belonging to the present invention
Protection domain.
Claims (10)
1. a kind of Hadoop big datas platform testing system, including：Data generating platform, load perform platform and test data
Data storage storehouse；
The data generating platform includes data generation management module and data generation module corresponding with each Hadoop components；Institute
Stating load and performing platform includes load management module and load corresponding with each Hadoop components；
The data generation management module is used to receive the test profile for including tested Hadoop components and Test Strategy
Afterwards, the test data according to corresponding to the Test Strategy selects corresponding data generation module generation supplies the tested Hadoop groups
Part loads；
Load and be loaded into corresponding to the Test Strategy selection that the load management module is used in the test profile
Performance test is carried out on the tested Hadoop components, and obtains test result and is stored in the test data data storage storehouse
In.
2. Hadoop big datas platform testing system as claimed in claim 1, it is characterised in that also put down including file configuration
Platform, the instruction for being issued according to test user generate the test profile, and are handed down to the data generation management mould
Block, or it is handed down to the data generation management module and the load management module.
3. Hadoop big datas platform testing system as claimed in claim 1, it is characterised in that it is flat also to include displaying management
Platform；
The displaying management platform includes index tool management module, Monitoring Indexes instrument and offline index display module；
The index tool management module be used for it is described be loaded be supported on the tested Hadoop assembly operatings progressive
When can test, to the tested Hadoop components under each node host distribute and start Monitoring Indexes instrument carry out main frame index adopt
Collection；And for the load running on the tested Hadoop components after, stop the index prison of each node host
Survey instrument, and collect the main frame index that each Monitoring Indexes instrument obtains；
The offline index display module, for the load running on the tested Hadoop components after, by the remittance
The main frame index that the General Logistics Department obtains is shown.
4. Hadoop big datas platform testing system as claimed in claim 3, it is characterised in that the displaying management platform is also
Including index real-time exhibition module；
The load management module is additionally operable to according to setting time interval under each node host under the tested Hadoop components
Bristle with anger and mark real-time acquisition instructions, and the main frame index for receiving each node feeding back is stored into the test data data storage storehouse；
The index real-time exhibition module is opened up for extracting the main frame index from the test data data storage storehouse
Show.
5. Hadoop big datas platform testing system as claimed in claim 3, it is characterised in that the displaying management platform is also
Including test result display module, it is shown for extracting the test result from the test data data storage storehouse.
6. the Hadoop big data platform testing systems as described in claim any one of 1-5, it is characterised in that the test plan
Slightly include the corresponding load of the tested Hadoop components, and correspond to the ginseng for the test data that each load needs generate
Number.
7. the Hadoop big data platform testing systems as described in claim any one of 1-5, it is characterised in that the load bag
Include at least one of computation-intensive load, the intensive loads of I/O and the intensive load of mixing.
8. a kind of Hadoop big datas platform test method, including：
Data generating platform receives the test profile for including tested Hadoop components and Test Strategy, according to the test
Test data is for the tested Hadoop components loading, the data corresponding to the corresponding data generation module generation of policy selection
Generating platform includes data generation module corresponding with each Hadoop components；
Load, which performs to load corresponding to Test Strategy selection of the platform in the test profile, is loaded into described be tested
Performance test is carried out on Hadoop components, and obtains test result and is stored in test data data storage storehouse；The load is held
Row platform includes loading corresponding to each Hadoop components.
9. Hadoop big datas platform test method as claimed in claim 8, it is characterised in that also include：
The load is performed after the load is loaded into the tested Hadoop components by platform, according to setting time interval to institute
State each node host under tested Hadoop components and issue the real-time acquisition instructions of index, and the main frame index for receiving each node feeding back is deposited
Store up in the test data data storage storehouse；
Displaying management platform is extracted the main frame index from the test data data storage storehouse and is shown.
10. Hadoop big datas platform test method as claimed in claim 8 or 9, it is characterised in that the Test Strategy bag
Include and loaded corresponding to the tested Hadoop components, and these corresponding each parameters for loading the test data for needing to generate.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108519943A (en) * | 2018-03-06 | 2018-09-11 | 平安科技（深圳）有限公司 | Testing and control and test execution device, method and computer storage media |
| CN109783391A (en) * | 2019-01-28 | 2019-05-21 | 浪潮软件集团有限公司 | A kind of distributed data library test method and system based on user's big data behavior feedback data |
| CN110109824A (en) * | 2019-04-09 | 2019-08-09 | 平安科技（深圳）有限公司 | Big data automatic regression test method, apparatus, computer equipment and storage medium |
| WO2022205696A1 (en) * | 2021-03-31 | 2022-10-06 | 公安部第三研究所 | Cloud computing big data platform function and interface testing method and system |
-
2016
- 2016-06-28 CN CN201610488128.6A patent/CN107544895A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108519943A (en) * | 2018-03-06 | 2018-09-11 | 平安科技（深圳）有限公司 | Testing and control and test execution device, method and computer storage media |
| CN109783391A (en) * | 2019-01-28 | 2019-05-21 | 浪潮软件集团有限公司 | A kind of distributed data library test method and system based on user's big data behavior feedback data |
| CN110109824A (en) * | 2019-04-09 | 2019-08-09 | 平安科技（深圳）有限公司 | Big data automatic regression test method, apparatus, computer equipment and storage medium |
| WO2022205696A1 (en) * | 2021-03-31 | 2022-10-06 | 公安部第三研究所 | Cloud computing big data platform function and interface testing method and system |
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