CN101093462A - Automatization method for testing schooling pressure on database application - Google Patents
Automatization method for testing schooling pressure on database application Download PDFInfo
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- CN101093462A CN101093462A CN 200610028054 CN200610028054A CN101093462A CN 101093462 A CN101093462 A CN 101093462A CN 200610028054 CN200610028054 CN 200610028054 CN 200610028054 A CN200610028054 A CN 200610028054A CN 101093462 A CN101093462 A CN 101093462A
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Abstract
A method for automatically testing pressure of databank application cluster carries out integration of connection mode and connection number as well as cocurrent process then records performance data of databank in process operation in order to analyze performance difference of databank application cluster and single host under multi-cocurrent treatment pressure.
Description
Technical field
The present invention relates to the method for testing of Computer Database, relate in particular to automatization method for testing schooling pressure on database application.
Background technology
The mega project database adopts aggregated structure usually now, for analyzing the difference of cluster and single host performance under many concurrent processing of big data quantity pressure, need make up multiple factors such as connected mode, number of connection, concurrent processes, and in the performance data of moving the front and back database of record.Do not having under the situation of testing tool, all be by manual record in the past, poor efficiency extremely consuming time, and error easily.
Summary of the invention
Purpose of the present invention is exactly to provide a kind of automatization method for testing schooling pressure on database application for the defective that overcomes above-mentioned prior art existence.
Purpose of the present invention can be achieved through the following technical solutions: automatization method for testing schooling pressure on database application is characterized in that this method may further comprise the steps:
(1) client can select to connect independent example or cluster
In the database connection profile, dispose three Connection Service: each node respectively disposes a Service name that connects separately, disposes a Service name that connects cluster again;
(2) a plurality of storing processs of concurrent execution
A plurality of storing processs are carried out on the backstage in shell;
(3) automatic database of record internal performance index
Key index in the database of record interior views forms snapshot, so that compare before and after the process operation;
(4) automatically perform system monitoring command record operating system performance index
In the script that carries into execution a plan, when the concurrent process operation while, start the index of OS monitor command supervisory system CPU, internal memory, disk I, the result outputs to specified file;
(5) record test process daily record
In database, create log sheet, the operation information of record the process;
(6) testing scheme illustrates in configuration file, the soluble execution configuration file of script.
Described configuration file format is as follows: scenario name, connected mode, data volume, concurrent process number.
Described scheme is by name self-defined, and described connected mode connects for the r-cluster, and the s-single node connects, and described data volume comprises thousand or ten thousand, the storing process quantity that described concurrent process number is concurrent execution for the data scale of test.
Compared with prior art, the present invention is intended to propose an automated testing method, so that realize test purpose efficiently and accurately.
Description of drawings
Fig. 1 is a test automation method flow diagram of the present invention.
Embodiment
As shown in Figure 1, a kind of automatization method for testing schooling pressure on database application, this method comprises reads the arrangements file, generate the data of given size, determine to connect the mode of database instance, the storing process of quantity is formulated in the concurrent execution in backstage, carries out the OS monitor command and outputs to specified file, steps such as database of record performance snapshot.Specifically, this method comprises following content:
One, test is prepared:
Write the test data of storing process generation formulation scale.
The storing process that big data quantity is handled is write in the simulation practical application.
Two, measuring technology scheme function point:
A) client can select to connect independent example or cluster
In the database connection profile, dispose three Connection Service: each node respectively disposes a Service name that connects separately, disposes a Service name that connects cluster again.
B) a plurality of storing processs of concurrent execution
A plurality of storing processs are carried out on the backstage in shell.
C) automatic database of record internal performance index
Key index in the database of record interior views forms snapshot, so that compare before and after the process operation.
D) automatically perform system monitoring command record operating system performance index
In the script that carries into execution a plan, when the concurrent process operation while, start indexs such as OS monitor command supervisory system CPU, internal memory, disk I, the result outputs to specified file.
E) record test process daily record
In database, create log sheet, the operation information of record the process.
F) testing scheme illustrates in configuration file, the soluble execution configuration file of script.
Configuration file format is as follows:
Scenario name connected mode data volume concurrent process number.
Illustrate:
Scenario name: self-defined;
Connected mode: the r-cluster connects the s-single node and connects;
Data volume: the data scale of test, as thousand or ten thousand;
Concurrent process number: the storing process quantity of concurrent execution.
Do not have testing scheme of bar record description, can carry out a plurality of testing schemes.
Example:
sch04r834
sch04r838
sch04r1304
sch04r2008。
Claims (3)
1. automatization method for testing schooling pressure on database application is characterized in that, this method may further comprise the steps:
(1) client can select to connect independent example or cluster
In the database connection profile, dispose three Connection Service: each node respectively disposes a Service name that connects separately, disposes a Service name that connects cluster again;
(2) a plurality of storing processs of concurrent execution
A plurality of storing processs are carried out on the backstage in shell;
(3) automatic database of record internal performance index
Key index in the database of record interior views forms snapshot, so that compare before and after the process operation;
(4) automatically perform system monitoring command record operating system performance index
In the script that carries into execution a plan, when the concurrent process operation while, start the index of OS monitor command supervisory system CPU, internal memory, disk I, the result outputs to specified file;
(5) record test process daily record
In database, create log sheet, the operation information of record the process;
(6) testing scheme illustrates in configuration file, the soluble execution configuration file of script.
2. automatization method for testing schooling pressure on database application according to claim 1 is characterized in that, described configuration file format is as follows: scenario name, connected mode, data volume, concurrent process number.
3. automatization method for testing schooling pressure on database application according to claim 2, it is characterized in that, described scheme is by name self-defined, described connected mode connects for the r-cluster, the s-single node connects, described data volume comprises thousand or ten thousand, the storing process quantity that described concurrent process number is concurrent execution for the data scale of test.
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