CN105808441A - Multidimensional performance diagnosis and analysis method - Google Patents
Multidimensional performance diagnosis and analysis method Download PDFInfo
- Publication number
- CN105808441A CN105808441A CN201610196391.8A CN201610196391A CN105808441A CN 105808441 A CN105808441 A CN 105808441A CN 201610196391 A CN201610196391 A CN 201610196391A CN 105808441 A CN105808441 A CN 105808441A
- Authority
- CN
- China
- Prior art keywords
- performance
- request
- data
- client
- server
- 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.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title abstract 4
- 238000003745 diagnosis Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000013515 script Methods 0.000 claims abstract description 7
- 238000002372 labelling Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 229940004975 interceptor Drugs 0.000 claims description 3
- 235000014510 cooky Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 208000013407 communication difficulty Diseases 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012854 evaluation process 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
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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention discloses a multidimensional performance diagnosis and analysis method and belongs to the field of performance analysis processing of application software. The problem how to better analyze and process the performance of a server system is solved. According to technical scheme, the multidimensional performance diagnosis and analysis method includes the following steps that a client side invokes a unified inlet of a server to initiate a batch mark of a debug mode; the server is applied to increase interception processing, and a mark and a time record are added for each request; a data access layer common interface obtains the batch identification and request identifications of the client side according to the context of a current thread and records all SQL scripts and execution time; statistics is conducted on the resource occupancy situation and waiting events of a database; the client side completes the debug mode, requests for the performance data produced in the process of the debug mode and calculates and displays the time distribution situation and corresponding waiting situation in the response processing process of the current debug request.
Description
Technical field
The present invention relates to the performance evaluation process field of a kind of application software, specifically a kind of various dimensions performance diagnogtics analyzes method.
Background technology
During the performance evaluation of application software processes, there are the following problems:
1, when system is huge, business is complicated, a whole set of software is all adopt hierarchical-development, and each layer identification code increases log counting response time and also exports, very inconvenient, also not science, and workload is very big;
2, outer layer interface tracking result display application server responses is relatively slow, but the code many places oneself safeguarded have invoked the interface of other modules, has no way of doing it;When exchanging with other modules colleague, complicated, communication difficulty is described;
3, between the response of APPServer and DB, there is obvious delay, if started with from code inspection, workload is huge, and subjective factors impact is bigger;
4, Oracle environment is inconvenient to the execution record of following the tracks of SQL script, although Sqlserver can accomplish, but the SQL tracing into other modules does not know it is which method call yet.
Summary of the invention
The technical assignment of the present invention is for above weak point, it is provided that a kind of various dimensions performance diagnogtics analyzes method, the problem solving how the performance of server system better to be analyzed and processed.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of various dimensions performance diagnogtics analyzes method, it is characterised in that is the method that analyzes and processes of the performance issue to application software, comprises the steps:
(1), the unified entrance of client call service device, open batch mark (such as generating a GUID) of debugging mode, in request later, all can increase batch mark of this debugging, in order to server distinguishes all requests;
(2), application server increase intercept process, increase labelling and time record for each request;
(3), data access layer common interface, obtain the mark of the batch ID of client and request according to current thread context, record all of SQL script and execution time;
(4), the wait event of resource consumption statistic situation and data base;
(5), client terminates debugging mode, the performance data produced in this debugging mode process of server request, and in conjunction with the performance response of client itself, calculate and show the wait situation of the Annual distribution situation in this debugging request response processing procedure and correspondence.
Performance data includes: the number of times of the data volume of transmission, the data volume of reception, funcall request, sends that data are consuming time, return that data are consuming time, data base is consuming time, server end is consuming time and client is consuming time.
Performance data is shown by graphical interfaces, it is possible to find out distribution consuming time clearly.
Performance data is the performance data of client, network, application server, data base or storage.
In step (2), application server increases blocker or third party's AOP plug-in unit, for intercept process, uses the mode of Noninvasive to intercept all requests, it is that each request increases labelling and time record in the front and back that request processes, in order to distinguish the different disposal details in each request.
Blocker adopts the HttpModule of Interceptor or .NET of java.
In step (4), it is operated by the performance monitor of system, obtains the occupation condition of Database Systems aspect;By the performance views of data base, obtain the wait event of the logic level of data base.
Compared to the prior art a kind of various dimensions performance diagnogtics of the present invention analyzes method, have the advantages that to provide and more fully analyze method with the performance diagnogtics of system, reduce taking system resource, the response performance of raising system entirety and handling capacity, the response performance of system can be effectively ensured, the maintenance cost of reduction system, and have and compare range of application widely.
Detailed description of the invention
Below in conjunction with specific embodiment, the invention will be further described.
Embodiment 1:
A kind of various dimensions performance diagnogtics of the present invention analyzes method, it is characterised in that is the method that analyzes and processes of the performance issue to application software, comprises the steps:
(1), the unified entrance of client call service device, open batch mark (such as generating a GUID) of debugging mode, in request later, all can increase batch mark of this debugging, in order to server distinguishes all requests;
(2), application server increase third party's AOP plug-in unit, for intercept process, increase labelling and time record for each request;
(3), data access layer common interface, obtain the mark of the batch ID of client and request according to current thread context, record all of SQL script and execution time;
(4), the wait event of resource consumption statistic situation and data base;
(5), client terminates debugging mode, the performance data produced in this debugging mode process of server request, and in conjunction with the performance response of client itself, calculate and show the wait situation of the Annual distribution situation in this debugging request response processing procedure and correspondence.
Performance data includes: the number of times of the data volume of transmission, the data volume of reception, funcall request, sends that data are consuming time, return that data are consuming time, data base is consuming time, server end is consuming time and client is consuming time.
Performance data is shown by graphical interfaces, it is possible to find out distribution consuming time clearly.
Performance data is the performance data of client, network, application server, data base or storage.
Embodiment 2:
A kind of various dimensions performance diagnogtics of the present invention analyzes method, it is characterised in that is the method that analyzes and processes of the performance issue to application software, comprises the steps:
(1), the unified entrance of client call service device, open batch mark (such as generating a GUID) of debugging mode, in request later, all can increase batch mark of this debugging, in order to server distinguishes all requests;Partial code is as follows:
publicstaticvoidWrapGSPState(SoapHttpClientProtocolservice,GSPStatestate)
{
if(PerfState.IsPerf==true)
{
service.CookieContainer.Add(newUri(service.Url),newCookie("GSPPerfBatchID",PerfState.BatchID));
}
}。
(2), application server increases the blocker of the Interceptor of java, for intercept process, the mode using Noninvasive intercepts all requests, is that each request increases labelling and time record in the front and back that request processes, in order to distinguish the different disposal details in each request;Partial code is as follows:
privatevoidApplication_BeginRequest(objectsender,EventArgse)
{
HttpApplicationapplication=(HttpApplication)sender;
HttpCookieperfCookie=application.Context.Request.Cookies.Get("GSPPerfBatchID");
if(perfCookie!=null)
{
CallContext.LogicalSetData("GSPPerfBatchID",perfCookie.Value);
stringgroupID=Guid.NewGuid().ToString();
CallContext.LogicalSetData("GSPPerfGroupID",groupID);
LogPerfStart(DateTime.Now,application.Context.Request.Path,perfCookie.Value,groupID);
}
}
privatevoidapplication_EndRequest(objectsender,EventArgse)
{
HttpApplicationapplication=(HttpApplication)sender;
HttpCookieperfCookie=application.Context.Request.Cookies.Get("GSPPerfBatchID");
if(perfCookie!=null)
{
stringbatchID=CallContext.LogicalGetData("GSPPerfBatchID").ToString();
stringgroupID=CallContext.LogicalGetData("GSPPerfGroupID").ToString();
LogPerfEnd(DateTime.Now,application.Context.Request.Path,batchID,groupID);
}
}。
(3), data access layer common interface, obtain the mark of the batch ID of client and request according to current thread context, record all of SQL script and execution time;Partial code is as follows:
protectedvirtualintExecuteWithNoQuery(stringcmdText,IDbDataParameter[]dataParams)
{
this.HandlingParameters(dataParams);
IDbCommandcommand=SetCommand(cmdText,dataParams,isSqlStatement);
PerfTraceDataperfData=TraceManualCommand(command);
intresult;
try
{
result=command.ExecuteNonQuery();
}
finally
{
perfData.EndTimeStamp=DateTime.Now;
LogSqlTrace(perfData);
}
returnresult;
}。
(4), the wait event of resource consumption statistic situation and data base: be operated by the performance monitor of system, obtain the occupation condition of Database Systems aspect;By the performance views of data base, obtain the wait event of the logic level of data base;Partial code is as follows:
--SQLServer
selectt.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
frommaster.sys.sysprocessest
outerapplymaster.sys.dm_exec_sql_text(t.sql_handle)dc
wheret.spid>=50
--Oracle
selectse.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)ASsql_text
fromv$sessionse
leftjoinv$sqls1onse.SQL_ID=s1.SQL_IDandse.sql_child_number=s1.child_number
leftjoinv$sqls2onse.PREV_SQL_ID=s2.SQL_IDandse.prev_child_number=s2.child_number。
(5), client terminates debugging mode, the performance data produced in this debugging mode process of server request, and in conjunction with the performance response of client itself, calculate and show the wait situation of the Annual distribution situation in this debugging request response processing procedure and correspondence.
Performance data includes: the number of times of the data volume of transmission, the data volume of reception, funcall request, sends that data are consuming time, return that data are consuming time, data base is consuming time, server end is consuming time and client is consuming time.
Performance data is shown by graphical interfaces, it is possible to find out distribution consuming time clearly.
Performance data is the performance data of client, network, application server, data base or storage.
Embodiment 3:
A kind of various dimensions performance diagnogtics of the present invention analyzes method, it is characterised in that is the method that analyzes and processes of the performance issue to application software, comprises the steps:
(1), the unified entrance of client call service device, open batch mark (such as generating a GUID) of debugging mode, in request later, all can increase batch mark of this debugging, in order to server distinguishes all requests;
(2), application server increases the blocker of the HttpModule of .NET, for intercept process, the mode using Noninvasive intercepts all requests, is that each request increases labelling and time record in the front and back that request processes, in order to distinguish the different disposal details in each request;
(3), data access layer common interface, obtain the mark of the batch ID of client and request according to current thread context, record all of SQL script and execution time;
(4), the wait event of resource consumption statistic situation and data base: be operated by the performance monitor of system, obtain the occupation condition of Database Systems aspect;By the performance views of data base, obtain the wait event of the logic level of data base;
(5), client terminates debugging mode, the performance data produced in this debugging mode process of server request, and in conjunction with the performance response of client itself, calculate and show the wait situation of the Annual distribution situation in this debugging request response processing procedure and correspondence.
Performance data includes: the number of times of the data volume of transmission, the data volume of reception, funcall request, sends that data are consuming time, return that data are consuming time, data base is consuming time, server end is consuming time and client is consuming time.
Performance data is shown by graphical interfaces, it is possible to find out distribution consuming time clearly.
Performance data is the performance data of client, network, application server, data base or storage.
By detailed description of the invention above, described those skilled in the art can be easy to realize the present invention.It is understood that the present invention is not limited to above-mentioned detailed description of the invention.On the basis of disclosed embodiment, described those skilled in the art can the different technical characteristic of combination in any, thus realizing different technical schemes.
Except the technical characteristic described in description, it is the known technology of those skilled in the art.
Claims (7)
1. a various dimensions performance diagnogtics analyzes method, it is characterised in that is the method that analyzes and processes of the performance issue to server system, comprises the steps:
(1), the unified entrance of client call service device, open batch mark of debugging mode, in request later, all can increase batch mark of this debugging;
(2), application server increase intercept process, increase labelling and time record for each request;
(3), data access layer common interface, obtain the mark of the batch ID of client and request according to current thread context, record all of SQL script and execution time;
(4), the wait event of resource consumption statistic situation and data base;
(5), client terminates debugging mode, the performance data produced in this debugging mode process of server request, and in conjunction with the performance response of client itself, calculate and show the wait situation of the Annual distribution situation in this debugging request response processing procedure and correspondence.
2. a kind of various dimensions performance diagnogtics according to claim 1 analyzes method, it is characterised in that performance data includes: the data volume of transmission, the data volume of reception, a funcall request number of times, send that data are consuming time, return that data are consuming time, data base is consuming time, server end is consuming time and client is consuming time.
3. a kind of various dimensions performance diagnogtics according to claim 2 analyzes method, it is characterised in that performance data is shown by graphical interfaces.
4. a kind of various dimensions performance diagnogtics according to claim 1 analyzes method, it is characterised in that performance data is the performance data of client, network, application server, data base or storage.
5. a kind of various dimensions performance diagnogtics according to claim 1 analyzes method, it is characterized in that in step (2), application server increases blocker or third party's AOP plug-in unit, for intercept process, the mode using Noninvasive intercepts all requests, is that each request increases labelling and time record in the front and back that request processes.
6. a kind of various dimensions performance diagnogtics according to claim 5 analyzes method, it is characterised in that blocker adopts the HttpModule of Interceptor or .NET of java.
7. a kind of various dimensions performance diagnogtics according to claim 1 analyzes method, it is characterised in that in step (4), is operated by the performance monitor of system, obtains the occupation condition of Database Systems aspect;By the performance views of data base, obtain the wait event of the logic level of data base.
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 true CN105808441A (en) | 2016-07-27 |
CN105808441B 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) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108255659A (en) * | 2016-12-28 | 2018-07-06 | 平安科技(深圳)有限公司 | A kind of application program capacity monitoring method and its system |
CN109299132A (en) * | 2018-11-29 | 2019-02-01 | 中国人民财产保险股份有限公司 | SQL data processing method, system and electronic equipment |
CN110750408A (en) * | 2019-09-30 | 2020-02-04 | 湖南新云网科技有限公司 | Method, device and apparatus for controlling USB debug mode switch, and storage medium |
CN111324545A (en) * | 2020-03-13 | 2020-06-23 | 中国工商银行股份有限公司 | Application server middleware performance test method, test terminal and application server |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050055673A1 (en) * | 2003-09-05 | 2005-03-10 | Oracle International Corporation | Automatic database diagnostic monitor architecture |
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 |
US20140108647A1 (en) * | 2012-10-11 | 2014-04-17 | Brocade Communications Systems, Inc. | User Feedback in Network and Server Monitoring Environments |
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 |
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 |
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 |
-
2016
- 2016-03-31 CN CN201610196391.8A patent/CN105808441B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050055673A1 (en) * | 2003-09-05 | 2005-03-10 | Oracle International Corporation | Automatic database diagnostic monitor architecture |
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 |
US20140108647A1 (en) * | 2012-10-11 | 2014-04-17 | Brocade Communications Systems, Inc. | User Feedback in Network and Server Monitoring Environments |
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 |
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 |
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 |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108255659A (en) * | 2016-12-28 | 2018-07-06 | 平安科技(深圳)有限公司 | A kind of application program capacity monitoring method and its system |
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 |
CN109299132A (en) * | 2018-11-29 | 2019-02-01 | 中国人民财产保险股份有限公司 | SQL data processing method, system and electronic equipment |
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 |
CN110750408A (en) * | 2019-09-30 | 2020-02-04 | 湖南新云网科技有限公司 | Method, device and apparatus for controlling USB debug mode switch, and storage medium |
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 |
CN111324545A (en) * | 2020-03-13 | 2020-06-23 | 中国工商银行股份有限公司 | Application server middleware performance test method, test terminal and application server |
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 |
Also Published As
Publication number | Publication date |
---|---|
CN105808441B (en) | 2018-08-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7954011B2 (en) | Enabling tracing operations in clusters of servers | |
US8141100B2 (en) | Identifying attribute propagation for multi-tier processing | |
WO2020233015A1 (en) | Link tracking method and apparatus | |
US8028200B2 (en) | Tracing operations in multiple computer systems | |
US20080155349A1 (en) | Performing computer application trace with other operations | |
CA2503987C (en) | System and method for performance management in a multi-tier computing environment | |
TWI564732B (en) | A method and apparatus for monitoring user requests to run in a decentralized system | |
CN105808441A (en) | Multidimensional performance diagnosis and analysis method | |
WO2009064623A1 (en) | A network device and method for monitoring of backend transactions in data centers | |
US20080034082A1 (en) | Intelligent Performance Monitoring Based on Resource Threshold | |
US20130160131A1 (en) | Application security testing | |
US20150371047A1 (en) | Determining coverage of dynamic security scans using runtime and static code analyses | |
CN104980421B (en) | Batch request processing method and system | |
EP3384391B1 (en) | Real-time change data from disparate sources | |
WO2015085456A1 (en) | Log extraction method under server cluster and server cluster | |
CN111382023A (en) | Code fault positioning method, device, equipment and storage medium | |
US9558092B2 (en) | Runtime-agnostic management of applications | |
CN106708859A (en) | Auditing method for resource access behaviors and device | |
CN107786641B (en) | Method for collecting distributed multi-system user behavior logs | |
KR100906440B1 (en) | Apparatus for monitoring a performance of web applications by connecting was transaction with dbms session and method thereof | |
US20120072258A1 (en) | Methods and computer program products for identifying and monitoring related business application processes | |
CN109144834A (en) | Acquisition method and device, the Android system and terminal device of user behavior data | |
US20200210310A1 (en) | Analytics-based architecture compliance testing for distributed web applications | |
CN106789395B (en) | A kind of Distributed PDM system monitoring data transmission method based on Web | |
US9338255B1 (en) | System and method for correlating end-user experience data and backend-performance data |
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 |