CN105808441B - A kind of various dimensions performance diagnogtics analysis method - Google Patents
A kind of various dimensions performance diagnogtics analysis method Download PDFInfo
- Publication number
- CN105808441B CN105808441B CN201610196391.8A CN201610196391A CN105808441B CN 105808441 B CN105808441 B CN 105808441B CN 201610196391 A CN201610196391 A CN 201610196391A CN 105808441 B CN105808441 B CN 105808441B
- Authority
- CN
- China
- Prior art keywords
- performance
- client
- request
- various dimensions
- analysis method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000013515 script Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 229940004975 interceptor Drugs 0.000 claims description 3
- 238000012854 evaluation process Methods 0.000 abstract description 2
- 235000014510 cooky Nutrition 0.000 description 3
- 239000011800 void material Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000001934 delay Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- PWPJGUXAGUPAHP-UHFFFAOYSA-N lufenuron Chemical compound C1=C(Cl)C(OC(F)(F)C(C(F)(F)F)F)=CC(Cl)=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F PWPJGUXAGUPAHP-UHFFFAOYSA-N 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- 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
Abstract
The problem of the invention discloses a kind of various dimensions performance diagnogtics analysis methods, belong to the performance evaluation process field of application software, analyzing processing better disclosure address how performance to server system.Technical solution is：A kind of various dimensions performance diagnogtics analysis method, includes the following steps：The unified entrance of client call service device opens batch mark of debugging mode；Application server increases intercept process, increases label and time record for each request；Data access layer common interface obtains the mark of the batch ID and request of client according to current thread context, records all SQL scripts and executes the time；The waiting event of resource consumption statistic situation and database；Client terminates debugging mode, the performance data generated during asking this debugging mode to server, and combines the performance response of client itself, calculates and shows the Annual distribution situation in this debugging request response processing procedure and corresponding waiting situation.
Description
Technical field
The present invention relates to a kind of performance evaluation process field of application software, specifically a kind of various dimensions performance diagnogtics
Analysis method.
Background technology
In the performance evaluation processing of application software, there are the following problems：
1, when system is huge, business is complicated, a whole set of software is all to use hierarchical-development, and each layer identification code increases log statistics
Response time simultaneously exports, very inconvenient, also not science, and workload is very big；
2, outer layer interface tracking result shows that application server responses are slower, but the code many places that oneself is safeguarded have invoked it
The interface of his module, has no way of doing it；When being exchanged with other modules colleague, description is complicated, it is difficult to link up；
3, between APP Server and the response of DB, there are obvious delays, if started with from code inspection, workload is huge
Greatly, and subjective factors are affected；
What 4, Oracle environment was inconvenient to track SQL scripts executes record, although Sqlserver can accomplish, tracking
SQL to other modules does not know it is which method call yet.
Invention content
The technical assignment of the present invention is to be directed to the above shortcoming, provides a kind of various dimensions performance diagnogtics analysis method, is come
It how solves the problems, such as to the better analyzing processing of the performance of server system.
The technical solution adopted by the present invention to solve the technical problems is：
A kind of various dimensions performance diagnogtics analysis method, it is characterised in that be the performance issue analyzing processing to application software
Method includes the following steps：
（1）, client call service device unified entrance, open debugging mode batch mark（For example generate one
GUID）, in request later, can all increase batch mark of this debugging, so that server distinguishes all requests；
（2）, application server increase intercept process, increase label and time record for each request；
（3）, data access layer common interface, according to current thread context obtain client batch ID and request mark
Know, record all SQL scripts and executes the time；
（4）, resource consumption statistic situation and database waiting event；
（5）, client terminate debugging mode, the performance data for asking to generate during this debugging mode to server,
And the performance response of client itself is combined, calculate and shows the Annual distribution feelings in this debugging request response processing procedure
Condition and corresponding waiting situation.
Performance data includes：The data volume of transmission, the data volume of reception, the request of funcall number, send number
It is taken according to time-consuming, returned data, database takes, server end takes and client takes.
Performance data is shown by graphical interfaces, can clearly find out time-consuming distribution.
Performance data is client, network, application server, database or the performance data of storage.
Step（2）In, application server increases blocker or third party's AOP plug-in units, is used for intercept process, is invaded using non-
The mode of entering property intercepts all requests, is that each request increases label and time record before and after request is handled, to distinguish
Different disposal details in each request.
Blocker uses the HttpModule of the Interceptor or .NET of java.
Step（4）In, by the performance monitor of operating system, obtain the occupation condition of Database Systems level；
By the performance views of database, the waiting event of the logic level of database is obtained.
Compared to the prior art a kind of various dimensions performance diagnogtics analysis method of the present invention, has the advantages that：It carries
The performance diagnogtics analysis method more fully with system has been supplied, the occupancy to system resource is reduced, has improved the response of system entirety
The response performance of system can be effectively ensured in performance and handling capacity, reduce the maintenance cost of system, and have and more widely answer
Use range.
Specific implementation mode
The present invention is further explained in the light of specific embodiments.
Embodiment 1：
A kind of various dimensions performance diagnogtics analysis method of the present invention, it is characterised in that be the performance issue point to application software
The method for analysing processing, includes the following steps：
（1）, client call service device unified entrance, open debugging mode batch mark（For example generate one
GUID）, in request later, can all increase batch mark of this debugging, so that server distinguishes all requests；
（2）, application server increase third party's AOP plug-in units, be used for intercept process, increase label and time for each request
Record；
（3）, data access layer common interface, according to current thread context obtain client batch ID and request mark
Know, record all SQL scripts and executes the time；
（4）, resource consumption statistic situation and database waiting event；
（5）, client terminate debugging mode, the performance data for asking to generate during this debugging mode to server,
And the performance response of client itself is combined, calculate and shows the Annual distribution feelings in this debugging request response processing procedure
Condition and corresponding waiting situation.
Performance data includes：The data volume of transmission, the data volume of reception, the request of funcall number, send number
It is taken according to time-consuming, returned data, database takes, server end takes and client takes.
Performance data is shown by graphical interfaces, can clearly find out time-consuming distribution.
Performance data is client, network, application server, database or the performance data of storage.
Embodiment 2：
A kind of various dimensions performance diagnogtics analysis method of the present invention, it is characterised in that be the performance issue point to application software
The method for analysing processing, includes the following steps：
（1）, client call service device unified entrance, open debugging mode batch mark（For example generate one
GUID）, in request later, can all increase batch mark of this debugging, so that server distinguishes all requests；Partial code
It is as follows：
public static void WrapGSPState(SoapHttpClientProtocol service,
GSPState state)
{
if (PerfState.IsPerf == true)
{
service.CookieContainer.Add(new Uri(service.Url), new Cookie
("GSPPerfBatchID", PerfState.BatchID));
}
} 。
（2）, application server increase java Interceptor blocker, be used for intercept process, use Noninvasive
Mode intercept all requests, be that each request increases label and the time records before and after request is handled, it is each to distinguish
Different disposal details in request；Partial code is as follows：
private void Application_BeginRequest(object sender, EventArgs e)
{
HttpApplication application = (HttpApplication)sender;
HttpCookie perfCookie = application.Context.Request.Cookies.Get("
GSPPerfBatchID");
if (perfCookie != null)
{
CallContext.LogicalSetData("GSPPerfBatchID",
perfCookie.Value);
string groupID = Guid.NewGuid().ToString();
CallContext.LogicalSetData("GSPPerfGroupID", groupID);
LogPerfStart(DateTime.Now, application.Context.Request.Path,
perfCookie.Value, groupID);
}
}
private void application_EndRequest(object sender, EventArgs e)
{
HttpApplication application = (HttpApplication)sender;
HttpCookie perfCookie = application.Context.Request.Cookies.Get("
GSPPerfBatchID");
if (perfCookie != null)
{
string batchID = CallContext.LogicalGetData("
GSPPerfBatchID").ToString();
string groupID = CallContext.LogicalGetData("
GSPPerfGroupID").ToString();
LogPerfEnd(DateTime.Now, application.Context.Request.Path,
batchID, groupID);
}
}。
（3）, data access layer common interface, according to current thread context obtain client batch ID and request mark
Know, record all SQL scripts and executes the time；Partial code is as follows：
protected virtual int ExecuteWithNoQuery(string cmdText,
IDbDataParameter[] dataParams)
{
this.HandlingParameters(dataParams);
IDbCommand command = SetCommand(cmdText, dataParams,
isSqlStatement);
PerfTraceData perfData = TraceManualCommand(command);
int result;
try
{
result = command.ExecuteNonQuery();
}
finally
{
perfData.EndTimeStamp = DateTime.Now;
LogSqlTrace(perfData);
}
return result;
}。
（4）, resource consumption statistic situation and database waiting event：By the performance monitor of operating system, obtain
The occupation condition of Database Systems level；By the performance views of database, the waiting of the logic level of database is obtained
Event；Partial code is as follows：
-- SQL Server
select t.spid, t.kpid, t.blocked, t.status, t.waittype,
t.lastwaittype, t.waitresource, t.waittime
, DB_NAME(t.dbid) DbName, t.login_time, t.last_batch, t.loginame,
t.program_name, t.hostname
, t.hostprocess, t.cmd, t.stmt_start, t.stmt_end, t.request_id,
dc.text
from master.sys.sysprocesses t
outer apply master.sys.dm_exec_sql_text(t.sql_handle) dc
where t.spid >= 50
-- Oracle
select se.SID, se.SERIAL#, se.Status, se.Event, se.BLOCKING_SESSION,
se.BLOCKING_SESSION_STATUS
, se.USERNAME, se.MACHINE, se.PROGRAM, se.sql_exec_start, se.seconds_
in_wait
, NVL(s1.SQL_TEXT, s2.SQL_TEXT) AS sql_text
from v$session se
left join v$sql s1 on se.SQL_ID = s1.SQL_ID and se.sql_child_number =
s1.child_number
left join v$sql s2 on se.PREV_SQL_ID = s2.SQL_ID and se.prev_child_
number = s2.child_number。
（5）, client terminate debugging mode, the performance data for asking to generate during this debugging mode to server,
And the performance response of client itself is combined, calculate and shows the Annual distribution feelings in this debugging request response processing procedure
Condition and corresponding waiting situation.
Performance data includes：The data volume of transmission, the data volume of reception, the request of funcall number, send number
It is taken according to time-consuming, returned data, database takes, server end takes and client takes.
Performance data is shown by graphical interfaces, can clearly find out time-consuming distribution.
Performance data is client, network, application server, database or the performance data of storage.
Embodiment 3：
A kind of various dimensions performance diagnogtics analysis method of the present invention, it is characterised in that be the performance issue point to application software
The method for analysing processing, includes the following steps：
（1）, client call service device unified entrance, open debugging mode batch mark（For example generate one
GUID）, in request later, can all increase batch mark of this debugging, so that server distinguishes all requests；
（2）, application server increase .NET HttpModule blocker, be used for intercept process, use Noninvasive
Mode intercept all requests, be that each request increases label and the time records before and after request is handled, it is each to distinguish
Different disposal details in request；
（3）, data access layer common interface, according to current thread context obtain client batch ID and request mark
Know, record all SQL scripts and executes the time；
（4）, resource consumption statistic situation and database waiting event：By the performance monitor of operating system, obtain
The occupation condition of Database Systems level；By the performance views of database, the waiting of the logic level of database is obtained
Event；
（5）, client terminate debugging mode, the performance data for asking to generate during this debugging mode to server,
And the performance response of client itself is combined, calculate and shows the Annual distribution feelings in this debugging request response processing procedure
Condition and corresponding waiting situation.
Performance data includes：The data volume of transmission, the data volume of reception, the request of funcall number, send number
It is taken according to time-consuming, returned data, database takes, server end takes and client takes.
Performance data is shown by graphical interfaces, can clearly find out time-consuming distribution.
Performance data is client, network, application server, database or the performance data of storage.
The technical personnel in the technical field can readily realize the present invention with the above specific embodiments,.But it answers
Work as understanding, the present invention is not limited to above-mentioned specific implementation modes.On the basis of the disclosed embodiments, the technical field
Technical staff can arbitrarily combine different technical features, to realize different technical solutions.
It is the known technology of those skilled in the art in addition to the technical characteristic described in specification.
Claims (7)
1. a kind of various dimensions performance diagnogtics analysis method, it is characterised in that be the performance issue analyzing processing to server system
Method includes the following steps：
（1）, client call service device unified entrance, open the identifier of debugging mode, in request later, can all increase
The identifier for adding this to debug；
（2）, application server increase intercept process, be client each request increase label and the time record；
（3）, server by data access layer common interface, the identifier of client is obtained according to current thread context and is asked
The label asked records all SQL scripts and executes the time；
（4）, the occupation condition of statistical server and the waiting event of database；
（5）, client terminate debugging mode, the performance data for asking to generate during this debugging mode to server, and tying
Close client itself performance response, calculate and show this debugging request response processing procedure in Annual distribution situation and
Corresponding waiting situation.
2. a kind of various dimensions performance diagnogtics analysis method according to claim 1, it is characterised in that performance data includes：Hair
The data volume of the data volume, reception sent, the number of funcall request, transmission data take, returned data takes, data
Library takes, server end takes and client takes.
3. a kind of various dimensions performance diagnogtics analysis method according to claim 2, it is characterised in that performance data passes through figure
Shape interface display comes out.
4. a kind of various dimensions performance diagnogtics analysis method according to claim 1, it is characterised in that performance data is client
End, network, application server, database or storage performance data.
5. a kind of various dimensions performance diagnogtics analysis method according to claim 1, it is characterised in that step（2）In, application
Server increases blocker or third party's AOP plug-in units, is used for intercept process, and intercepting institute using the mode of Noninvasive, ask the visitor in
It asks, is that each request increases label and time record before and after request is handled.
6. a kind of various dimensions performance diagnogtics analysis method according to claim 5, it is characterised in that blocker uses java
Interceptor or .NET HttpModule.
7. a kind of various dimensions performance diagnogtics analysis method according to claim 1, it is characterised in that step（4）In, pass through
The performance monitor of operating system obtains the occupation condition of Database Systems level；By the performance views of database, obtain
Take the waiting event of the logic level of database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610196391.8A CN105808441B (en) | 2016-03-31 | 2016-03-31 | A kind of various dimensions performance diagnogtics analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610196391.8A CN105808441B (en) | 2016-03-31 | 2016-03-31 | A kind of various dimensions performance diagnogtics analysis method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105808441A CN105808441A (en) | 2016-07-27 |
| CN105808441B true CN105808441B (en) | 2018-08-14 |
Family
ID=56459375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610196391.8A Active CN105808441B (en) | 2016-03-31 | 2016-03-31 | A kind of various dimensions performance diagnogtics analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105808441B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108255659B (en) * | 2016-12-28 | 2021-06-29 | 平安科技（深圳）有限公司 | Application program performance monitoring method and system |
| CN109299132B (en) * | 2018-11-29 | 2021-08-06 | 中国人民财产保险股份有限公司 | SQL data processing method and system and electronic equipment |
| CN110750408B (en) * | 2019-09-30 | 2021-03-26 | 湖南新云网科技有限公司 | Method, device and apparatus for controlling USB debug mode switch, and storage medium |
| CN111324545B (en) * | 2020-03-13 | 2023-09-22 | 中国工商银行股份有限公司 | Application server middleware performance test method, test terminal and application server |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102904774A (en) * | 2012-09-28 | 2013-01-30 | 用友软件股份有限公司 | Terminal, server and server performance testing method |
| CN104636232A (en) * | 2013-11-06 | 2015-05-20 | 中国移动通信集团广东有限公司 | Performance monitoring device and method of distributed service system |
| CN104683180A (en) * | 2015-02-12 | 2015-06-03 | 北京蓝海讯通科技有限公司 | Performance monitoring method and system as well as application server |
| CN104683181A (en) * | 2015-02-12 | 2015-06-03 | 北京蓝海讯通科技有限公司 | Performance monitoring method, equipment and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7673291B2 (en) * | 2003-09-05 | 2010-03-02 | Oracle International Corporation | Automatic database diagnostic monitor architecture |
| US20140108647A1 (en) * | 2012-10-11 | 2014-04-17 | Brocade Communications Systems, Inc. | User Feedback in Network and Server Monitoring Environments |
-
2016
- 2016-03-31 CN CN201610196391.8A patent/CN105808441B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102904774A (en) * | 2012-09-28 | 2013-01-30 | 用友软件股份有限公司 | Terminal, server and server performance testing method |
| CN104636232A (en) * | 2013-11-06 | 2015-05-20 | 中国移动通信集团广东有限公司 | Performance monitoring device and method of distributed service system |
| CN104683180A (en) * | 2015-02-12 | 2015-06-03 | 北京蓝海讯通科技有限公司 | Performance monitoring method and system as well as application server |
| CN104683181A (en) * | 2015-02-12 | 2015-06-03 | 北京蓝海讯通科技有限公司 | Performance monitoring method, equipment and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105808441A (en) | 2016-07-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jayathilaka et al. | Performance monitoring and root cause analysis for cloud-hosted web applications | |
| US9632903B2 (en) | Techniques for distributed testing | |
| CN105808441B (en) | A kind of various dimensions performance diagnogtics analysis method | |
| US10114736B2 (en) | Virtual service data set generation | |
| US7805509B2 (en) | System and method for performance management in a multi-tier computing environment | |
| US7954011B2 (en) | Enabling tracing operations in clusters of servers | |
| US7934003B2 (en) | Method and system for monitoring performance of distributed applications | |
| US9531609B2 (en) | Virtual service automation | |
| CN106776280B (en) | Configurable performance testing device | |
| US8028200B2 (en) | Tracing operations in multiple computer systems | |
| US8495204B2 (en) | Remote invocation mechanism for logging | |
| US20100132024A1 (en) | Identifying attribute propagation for multi-tier processing | |
| US7315807B1 (en) | System and methods for storage area network simulation | |
| CN108256118B (en) | Data processing method, device, system, computing equipment and storage medium | |
| US8656000B2 (en) | Service level management system | |
| US20100153482A1 (en) | Cloud-Based Automation of Resources | |
| US20090271514A1 (en) | System and method for monitoring user interaction with web pages | |
| US20170220448A1 (en) | Regression testing of software services | |
| CN106936793A (en) | A kind of information intercepting processing method and terminal | |
| US20060190488A1 (en) | System and method for determining information related to user interactions with an application | |
| US20140122935A1 (en) | Diagnosing a Problem of a Software Product Running in a Cloud Environment | |
| US20150371047A1 (en) | Determining coverage of dynamic security scans using runtime and static code analyses | |
| US11171846B1 (en) | Log throttling | |
| US10122602B1 (en) | Distributed system infrastructure testing | |
| CN115694699A (en) | Time delay parameter acquisition method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |