CN110166540A - A kind of login TPS calculation method based on XMPP protocol - Google Patents

A kind of login TPS calculation method based on XMPP protocol Download PDF

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Publication number
CN110166540A
CN110166540A CN201910385404.XA CN201910385404A CN110166540A CN 110166540 A CN110166540 A CN 110166540A CN 201910385404 A CN201910385404 A CN 201910385404A CN 110166540 A CN110166540 A CN 110166540A
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login
user
time
tps
log
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CN110166540B (en
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盛晓春
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Sichuan Changhong Electric Co Ltd
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Sichuan Changhong Electric Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/08Protocols specially adapted for terminal emulation, e.g. Telnet
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1044Group management mechanisms 

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Debugging And Monitoring (AREA)
  • Computer And Data Communications (AREA)

Abstract

The login TPS calculation method based on XMPP protocol that the invention discloses a kind of, one jar packet is generated by using java programming language, the jar packet can be achieved to use XMPP protocol, fixed number of users login service device and repeat logon certain time per second, and the print log in login process, to realize specific time point and the total login times of counting user of first user login services device time of record and the last one user login services device time, then the difference at two time points is calculated again, finally both the total login times of user and time difference are divided by as the TPS of login service device, it is final to realize login TPS data of the detection based on XMPP protocol server or cluster, and it can directly be calculated by the information recorded in journal file and log in TPS, have the advantages that simple and practical.

Description

A kind of login TPS calculation method based on XMPP protocol
Technical field
The present invention relates to log in TPS computing technique field, in particular to a kind of calculating side login TPS based on XMPP protocol Method.
Background technique
XMPP protocol (expansible communication and presentation protocol) application range on probation is wide, flexibility is high, based on XMPP protocol Using being frequently used in instant messaging, server or clustering performance of the detection based on XMPP protocol are also example needed for industry Such as detect openfire server (live collaboration server) performance based on XMPP.Currently, tsung (the multi-protocols of open source Distributed terminator testing tool) it is frequently used for detecting the terminal server performance based on XMPP protocol, it can not be from but exist The journal file of tsung checks login, sends single message, TPS (issued transaction amount per second) information of pocket transmission news, and Openfire server end can only also check the information such as the login time of login user, therefore a kind of technological means detection is needed to be based on The login TPS data of XMPP protocol server or cluster.
Summary of the invention
It is insufficient the purpose of the present invention is overcoming in above-mentioned background technique, it provides based on a kind of login TPS by XMPP protocol Calculation method, can be used for detecting the login TPS data based on XMPP protocol server or cluster, and realization directly passes through journal file The information of interior record, which calculates, logs in TPS.
In order to reach above-mentioned technical effect, the present invention takes following technical scheme:
A kind of login TPS calculation method based on XMPP protocol, comprising the following steps:
A. determine that the number of users of login service device or cluster and user recycle login time according to business demand;
B. a jar packet is generated using java programming language, the jar packet uses XMPP protocol for realizing fixed number of users Server of login per second or cluster, and recycling log duration is that the user determined in step A recycles login time and stepping on Print log during record;
C. the jar packet is run, the log generated in jar packet operational process is stored in a glue file;
D. according to journal file, when checking that user's login time of first login, the last one user logged in log in Between and the total login times of user, and according to calculation formula obtain log in TPS, wherein log in TPS calculation formula it is as follows:
Log in TPS=(the total login times of the user/(user of the last one user's login time-the first login logged in Login time)) * 100%.
Further, the information recorded in the log includes at least: user's login time, logging state and user name.
Further, it is based on XMPP server or cluster that number of users and user, which recycle login time, in the step A The login TPS index request that configuration or business side provide determines.
Compared with prior art, the present invention have it is below the utility model has the advantages that
Login TPS calculation method based on XMPP protocol of the invention generates a jar by using java programming language Packet, which can be achieved to use XMPP protocol, per second to use fixed number of users login service device and repeat logon certain time, And the print log in login process, to realize that first user login services device time of record and the last one user log in Specific time point of server time and the total login times of counting user, then calculate the difference at two time points again, will finally use Both the total login times in family and time difference are divided by as the TPS of login service device, final to realize that detection is based on XMPP protocol service The login TPS data of device or cluster, and can directly be calculated by the information recorded in journal file and log in TPS, have simple And practical advantage.
Specific embodiment
Below with reference to the embodiment of the present invention, the invention will be further elaborated.
Embodiment:
A kind of login TPS calculation method based on XMPP protocol, specifically includes the following steps:
Step 1: it is determined and is logged in based on the login TPS index request that XMPP server or cluster configuration or business side provide The number of users and user of server or cluster recycle login time, if can business side need to obtain its server and meet often Second logs in the demand of 1000 users and needs to recycle and logs in 1 hour, then can determine the number of users of login service device or cluster It is 1000, circulation login time is 1 hour;
Step 2: writing java Program Generating jar packet using java programming language and be named as UserLogin.jar, should Jar packet uses an XMPP protocol server of login per second or cluster for realizing fixed number of users, and logs in some time (user determined i.e. in step 1 recycles login time) and the print log in login process;
In the present embodiment, the part core code of the jar packet program is as follows:
OptionsOptions=newOptions();
Options.addOption (" host ", true, " XMPP Host ");
Options.addOption (" port ", true, " XMPP Server Port ");
Options.addOption (" domain ", true, " XMPP domain name ");
Options.addOption (" resource ", true, " client resource name ");
Options.addOption (" senderPrefix ", true, " sender's prefix ");
Options.addOption (" password ", true, " sender's password ");
Options.addOption (" start ", true, " starting symbol ");
Options.addOption (" count ", true, " quantity ");
Options.addOption (" bits ", true, " digit ");
Options.addOption (" loginCount ", true, " message number ");
Options.addOption (" interval ", true, " sending interval ");
Step 3: a journal file is written in running log by operation jar packet, and order is as follows in the present embodiment:
Java-jar UserLogin.jar > root log .txt;
Step 4: opening journal file, checks user's login time strTime, the last one login of first login User's login time endTime and the total login times Num of user, can be obtained after opening log .txt file in the present embodiment The content of the partial log information arrived is as follows:
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250022 Login success, and the time is 2017-08-19 15:59:27.284
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250026 Login success, and the time is 2017-08-19 15:59:27.286
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250023 Login success, and the time is 2017-08-19 15:59:27.289
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250029 Login success, and the time is 2017-08-19 15:59:27.296
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250028 Login success, and the time is 2017-08-19 15:59:27.296
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250038 Login success, and the time is 2017-08-19 15:59:27.308
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250033 Login success, and the time is 2017-08-19 15:59:27.309
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250037 Login success, and the time is 2017-08-19 15:59:27.309
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250031 Login success, and the time is 2017-08-19 15:59:27.310
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250036 Login success, and the time is 2017-08-1915:59:27.314
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250034 Login success, and the time is 2017-08-19 15:59:27.317
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250047 Login success, and the time is 2017-08-19 15:59:27.363
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250045 Login success, and the time is 2017-08-19 15:59:27.366
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 1312325D044 Login success, and the time is 2017-08-19 15:59:27.369
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250050 Losin success, and the time is 2017-08-19 15:59:27.378
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250052 Login success, and the time is 2017-08-19 15:59:27.420
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250054 Login success, and the time is 2017-08-19 15:59:27.427
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250055 Login success, and the time is 2017-08-19 15:59:27.433
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250058 Login success, and the time is 2017-08-19 15:59:27.460
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250059 Login success, and the time is 2017-08-19 15:59:27.465
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250062 Login success, and the time is 2017-08-19 15:59:27.493
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250063 Login success, and the time is 2017-08-19 15:59:27.495
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250065 Login success, and the time is 2017-08-19 15:59:27.501
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250064 Login success, and the time is 2017-08-19 15:59:27.507
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250068 Login success, and the time is 2017-08-19 15:59:27.514
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250067 Login success, and the time is 2017-08-19 15:59:27.515
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250069 Login success, and the time is 2017-08-19 15:59:27.539
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250071 Login success, and the time is 2017-08-19 15:59:27.551
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250070 Login success, and the time is 2017-08-19 15:59:27.554
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250073 Login success, and the time is 2017-08-19 15:59:27.583
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250072 Login success, and the time is 2017-08-19 15:59:27.583
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250074 Login success, and the time is 2017-08-19 15:59:27.589
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250076 Login success, and the time is 2017-08-19 15:59:27.605
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250075 Login success, and the time is 2017-08-19 15:59:27.607
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250080 Login success, and the time is 2017-08-19 15:59:27.641
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250082 Login success, and the time is 2017-08-19 15:59:27.645
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250084 Login success, and the time is 2017-08-19 15:59:27.650
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-user 13123250088 Losin success, and the time is 2017-08-19 15:59:27.721
2017.08.19 15:59:27 org.isoftstone.JDBCAuthProvider-User 13123250087 Login success, and the time is 2017-08-19 15:59:27.724
Step 5: it is obtained according to calculation formula and logs in TPS, wherein it is as follows to log in TPS calculation formula:
Log in TPS=Num/ (endTime-strTime) * 100%.
From the foregoing, it will be observed that the login TPS calculation method of the invention based on XMPP protocol, raw by using java programming language At a jar packet, which can be achieved to use XMPP protocol, fixed number of users login service device and repeat logon one per second Fix time, and the print log in login process, with realize record first user login services device time and the last one Specific time point of user login services device time and the total login times of counting user, then calculate the difference at two time points again, Finally both the total login times of user and time difference are divided by as the TPS of login service device, it is final to realize that detection is based on XMPP The login TPS data of protocol server or cluster, and can directly be calculated by the information recorded in journal file and log in TPS, Have the advantages that simple and practical.
It is understood that the principle that embodiment of above is intended to be merely illustrative of the present and the exemplary implementation that uses Mode, however the present invention is not limited thereto.For those skilled in the art, essence of the invention is not being departed from In the case where mind and essence, various changes and modifications can be made therein, these variations and modifications are also considered as protection scope of the present invention.

Claims (3)

1. a kind of login TPS calculation method based on XMPP protocol, which comprises the following steps:
A. determine that the number of users of login service device or cluster and user recycle login time according to business demand;
B. a jar packet is generated using java programming language, the jar packet is every using XMPP protocol for realizing fixed number of users Second logs in a server or cluster, and recycles log duration and be the user's circulation login time determined in step A and logging in Print log in the process;
C. the jar packet is run, the log generated in jar packet operational process is stored in a glue file;
D. according to journal file, check user's login time, the last one user's login time logged in of first login with And the total login times of user, and obtained according to calculation formula and log in TPS, wherein it is as follows to log in TPS calculation formula:
Log in TPS=(the total login times of user/(user's login of the last one user's login time-the first login logged in Time)) * 100%.
2. a kind of login TPS calculation method based on XMPP protocol according to claim 1, which is characterized in that the day The information recorded in will includes at least: user's login time, logging state and user name.
3. a kind of login TPS calculation method based on XMPP protocol according to claim 1, which is characterized in that the step It is the login provided based on XMPP server or cluster configuration or business side that number of users and user, which recycle login time, in rapid A TPS index request determines.
CN201910385404.XA 2019-05-09 2019-05-09 Login TPS (TPS security protocol) calculation method based on XMPP (extensible Messaging and Presence protocol) Active CN110166540B (en)

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CN107659466A (en) * 2017-09-25 2018-02-02 四川长虹电器股份有限公司 It is a kind of to quantify and calculate the system and method for the cloud system handling capacity grade of service
CN108563544A (en) * 2018-03-26 2018-09-21 平安普惠企业管理有限公司 System performance testing method, apparatus, computer equipment and storage medium
CN109240899A (en) * 2017-07-10 2019-01-18 北京京东尚科信息技术有限公司 Information acquisition method and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100174831A9 (en) * 2002-03-08 2010-07-08 Uri Elzur System and method for handling transport protocol segments
US20050187934A1 (en) * 2004-02-24 2005-08-25 Covelight Systems, Inc. Methods, systems and computer program products for geography and time monitoring of a server application user
CN105469180A (en) * 2014-09-12 2016-04-06 东北大学 TPS based industrial cluster enterprise production coordinated management evaluating system
CN106470133A (en) * 2015-08-20 2017-03-01 阿里巴巴集团控股有限公司 System pressure method of testing and device
CN109240899A (en) * 2017-07-10 2019-01-18 北京京东尚科信息技术有限公司 Information acquisition method and device
CN107659466A (en) * 2017-09-25 2018-02-02 四川长虹电器股份有限公司 It is a kind of to quantify and calculate the system and method for the cloud system handling capacity grade of service
CN108563544A (en) * 2018-03-26 2018-09-21 平安普惠企业管理有限公司 System performance testing method, apparatus, computer equipment and storage medium

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