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  • Mercurial vs Subversion. Whose performance is better?

    - by Chicago
    There are a lot of articles about SVN vs. Hg in general. I would like to concentrate only on performance. Real-live experiences preferred. Here is my set-up: (future setup) Windows with IIS fro Hg (current setup) SVN 1.3.2 on top of apache under windows I would like to have statistics for most commons operations (commits, stats, local/remote pulls, pushes, etc...). I am not really sure what are the most common operations for Hg.

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  • OTN???DB???????????????·Oracle ACE????????????????!

    - by OTN-J Master
    ??????????? ???????????????????????????????????????? ????????????????????????”??????”??????????????????????????????????????????????????????????????????????????????????????(1)?????????????????(????????)?(2)?????????????????????(???????)????????????2??????????????????????????????????????????????????? ???????????????????????????????????????????????????????????????????????????? ????Oracle DBA & Developer Day??????????????????????????????????????????????????????????????????????????????????????????????OTN?????????????????? 2012???????????????????????????????? ?????????????? (??????) ?23????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? >> ??????????????????! DBA??? (??????) ?12? ???????????????????????(1)????2?????????????????????????????????????????????????????????????????????????????????????1???????1?????????????????????????????????????????1?????????????????????????????????????????????????????????????????????????????????????????????????????????????????I/O???????????????????????????????????????????????>> ????? ????????Oracle Database?SQL?? (Oracle ACE ?? ???) (??????) ~Oracle SQL???????????????? ~ SQL??????????????????????Oracle SQL??????????????????????????????SQL???????????????? SQL?????????????????????????SQL????????????????????? ?8? Pivot?UnPivot?1? Pivot?UnPivot?? (Pivot?UnPivot??/select???Pivot?UnPivot?????)?2? Pivot???? (Pivot????/Pivot????/Pivot??Pivot???????/Pivot??????)?3? UnPivot???? (UnPivot????/UnPivot????/UnPivot??UnPivot???????/UnPivot??????) >> ?????

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  • Is it possible to call a procedure within an SQL statement?

    - by darren
    Hi everyone I thought I would use a stored routine to clean up some of my more complex SQL statements. From what I've read, it seems impossible to use a stored procedure within an sql statement, and a stored function only returns a single value when what I need is a result set. I am using mySQL v5.0 SELECT p.`id`, gi.`id` FROM `sport`.`players` AS p JOIN `sport`.`gameinstances` AS gi ON p.`id` = gi.`playerid` WHERE (p.`playerid` IN (CALL findPlayers`("Canada", "2002"))) AND (gi.`instanceid` NOT IN (CALL findGameInstances`("Canada", "2002"))); For example, the procedures 'findPlayers' and 'findGameInstances' are are stored routines that execute some SQL and return a result set. I would prefer not to include their code directly within the statement above.

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  • [C++] Can all/any struct assignment operator be Overloaded? (and specifically struct tm = sql::Resu

    - by Luke Mcneice
    Hi all, Generally, i was wondering if there was any exceptions of types that cant have thier assignment operator overloaded. Specifically, I'm wanting to overload the assignment operator of a tm struct, (time.h) so i can assign a sql::ResultSet to it. I have already have the conversion logic: sscanf(sqlresult->getString("StoredAt").c_str(),"%d-%d-%d %d:%d:%d",&TempTimeStruct->tm_year,&TempTimeStruct->tm_mon,&TempTimeStruct->tm_mday,&TempTimeStruct->tm_hour,&TempTimeStruct->tm_min,&TempTimeStruct->tm_sec); //populating the struct I tried the overload with this: tm& tm::operator=(sql::ResultSet & results) { //CODE return *this; } however VS08 reports: error C2511: 'tm &tm::operator =(sql::ResultSet &)' : overloaded member function not found in 'tm'

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  • How to check if an SQL query executed without error in ASP?

    - by Sam
    Here's my code: if Request.Form("authorize") <> "" and request.form("delete") <> "true" then post_ids = Request.form("authorize") ids = split(post_ids, ",") For i = LBound(ids) to UBound(ids) sql = "update tbl_comments set authorized = 'true' where comment_id = " & ids(i) pageDB.execute(sql) Next message = "<div id=""succeed""><strong>Updated</strong>: Your comments have been approved.</div>" end if Instead of just setting "message" to the success message i'd like to do something along the lines of... if(pageDB.execute(sql) was succesful) then message = "<div id=""succeed""><strong>Updated</strong>: Your comments have been approved.</div>" else message = "<div id=""error""><strong>Error</strong>: Your comments have not been approved.</div>" end if

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  • Mysqldump create empty sql file? [php & mysql on Windows]

    - by mysqllearner
    Hi all, I tried to dump a database: <?php $dbhost = "localhost"; $dbuser = "XXXX"; $dbpass = "XXXXXXXX"; $dbname = 'testdb'; $list = shell_exec ("C:\wamp\bin\mysql\mysql5.1.33\bin\mysqldump.exe $dbname --user=$dbuser--password=$dbpass > dumpfile.sql"); ?> I tried both specified full path to mysqldump.exe or just use mysqldump, it still give me a 0kb dumpfile.sql Details: Programming Language: PHP Database: MySql 5.XX OS(server): Windows Server 2003. (currently testing on Windows Vista machine) EDIT @ Jeremy Heslop: I tried: shell_exec("C:\wamp\bin\mysql\mysql5.1.33\bin\mysqldump.exe --opt -h $dbhost -u$dbuser -p$dbpass $dbname > test.sql"); safe_mode = off Still no luck man.

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  • VS2005 SQL Syntax highlighting is incorrect for nested comments?

    - by MattH
    I'm working with VS2005, and SSMS 2005. SQL Server allows nested comments as follows: /* Comment 1 /* Comment 2 */ Some commented out code here */ This code runs fine. However if putting the above into a .sql file in VS2005, it incorrectly shows the commented out code as 'active', (its not green). It seems that StackOverflow has highlighted the code in the same way. Is this a bug in VS2005? Or does SSMS handle nested comments differently compared to the ANSI SQL standards? Can someone clarify this discrepancy, and if it appears to be a bug, if there a way to fix the syntax highlighting?

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  • How to start SQL Server in a remote machine using code from Delphi?

    - by MLB
    Hi there: I am developing an application (Delphi 7, windows XP) that uses a connection to a remote SQL Server. Sometimes, that server is down, and I want to do something to start it. I was trying to start SQL Server in a local context, and it was fine, it worked... But the point is that I have to start it up from a remote machine. I can see SQL Server status from a remote server, but I can't start it up... Maybe it gets problems because of user and password, but where to specify the login to the remote machine? Do you have any idea to do this??? I am sorry about my English. Thanks.

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  • Cloud Adoption Challenges

    - by Herve Roggero
    Originally posted on: http://geekswithblogs.net/hroggero/archive/2013/11/07/cloud-adoption-challenges.aspxWhile cloud computing makes sense for most organizations and countless projects, I have seen customers significantly struggle with cloud adoption challenges. This blog post is not an attempt to provide a generic assessment of cloud adoption; rather it is an account of personal experiences in the field, some of which may or may not apply to your organization. Cloud First, Burst? In the rush to cloud adoption some companies have made the decision to redesign their core system with a cloud first approach. However a cloud first approach means that the system may not work anymore on-premises after it has been redesigned, specifically if the system depends on Platform as a Service (PaaS) components (such as Azure Tables). While PaaS makes sense when your company is in a position to adopt the cloud exclusively, it can be difficult to leverage with systems that need to work in different clouds or on-premises. As a result, some companies are starting to rethink their cloud strategy by designing for on-premises first, and modify only the necessary components to burst when needed in the cloud. This generally means that the components need to work equally well in any environment, which requires leveraging Infrastructure as a Service (IaaS) or additional investments for PaaS applications, or both.  What’s the Problem? Although most companies can benefit from cloud computing, not all of them can clearly identify a business reason for doing so other than in very generic terms. I heard many companies claim “it’s cheaper”, or “it allows us to scale”, without any specific metric or clear strategy behind the adoption decision. Other companies have a very clear strategy behind cloud adoption and can precisely articulate business benefits, such as “we have a 500% increase in traffic twice a year, so we need to burst in the cloud to avoid doubling our network and server capacity”. Understanding the problem being solved through by adopting cloud computing can significantly help organizations determine the optimum path and timeline to adoption. Performance or Scalability? I stopped counting the number of times I heard “the cloud doesn’t scale; our database runs faster on a laptop”.  While performance and scalability are related concepts, they are nonetheless different in nature. Performance is a measure of response time under a given load (meaning with a specific number of users), while scalability is the performance curve over various loads. For example one system could see great performance with 100 users, but timeout with 1,000 users, in which case the system wouldn’t scale. However another system could have average performance with 100 users, but display the exact same performance with 1,000,000 users, in which case the system would scale. Understanding that cloud computing does not usually provide high performance, but instead provides the tools necessary to build a scalable system (usually using PaaS services such as queuing and data federation), is fundamental to proper cloud adoption. Uptime? Last but not least, you may want to read the Service Level Agreement of your cloud provider in detail if you haven’t done so. If you are expecting 99.99% uptime annually you may be in for a surprise. Depending on the component being used, there may be no associated SLA at all! Other components may be restarted at any time, or services may experience failover conditions weekly ( or more) based on current overall conditions of the cloud service provider, most of which are outside of your control. As a result, for PaaS cloud environments (and to a certain extent some IaaS systems), applications need to assume failure and gracefully retry to be successful in the cloud in order to provide service continuity to end users. About Herve Roggero Herve Roggero, Windows Azure MVP, is the founder of Blue Syntax Consulting (http://www.bluesyntax.net). Herve's experience includes software development, architecture, database administration and senior management with both global corporations and startup companies. Herve holds multiple certifications, including an MCDBA, MCSE, MCSD. He also holds a Master's degree in Business Administration from Indiana University. Herve is the co-author of "PRO SQL Azure" and “PRO SQL Server 2012 Practices” from Apress, a PluralSight author, and runs the Azure Florida Association.

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  • Achieve Spatial Data Support in SSIS

    Overview SQL Server 2008 introduced a new category of datatypes known as spatial datatypes which stores spatial information. The new spatial datatypes are geography and geometry. SQL Server Management Studio comes with good good support for these spatial data ... [Read Full Article]

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  • How can I tell if my Amazon Windows instance was an SQL Server AMI?

    - by Aligma
    I want to purchase some reserved instances, because I have several instances already created and running 24 hours a day. When I go to purchase a Windows instance, I can see 3 options, Windows Windows with SQL Server Standard Windows with SQL server Web I don't know which of these was used to create the original instance. Is there a way I can find out? My assumptions: the instance type is is important because as far as I understand, the way to purchase a reserved instance is to first have a running instance, and then purchase a matching reserved instance. The reserved instance is not itself a new machine, but a kind of contract between you and Amazon to pay for an instance for 1 or 3 years, at a discounted rate. The contracted, reserved instance will "offset" one matching running instance where they have the same size and platform. Please feel free to correct me if these assumptions are incorrect.

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  • Unicenter Software Delivery 4 not able to connect to MS SQL 2000 Database after W2003 SP2 upgrade

    - by grub
    Hello Everyone Yesterday I installed the Windows Server 2003 Service Pack 2 on a Windows Server 2003 which has Unicenter Software Delivery 4 installed. Prior to the installation I disabled every CA service on the server (Brightstor, SDO , RCO, TNG) and the MS SQL 2000 service. After the installation of the SP2 I enabled the services again but the Unicenter Service is not able to connect to the MS SQL 2000 Database anymore. The database itself is up and running and I can connect to it with the Enterprise Manager. A dbcc checkdb doesnt return any errors on the Unicenter database. The Unicenter service throws the following error messages during startup: IM[1] 27/05 10:38:31,272 Installation Manager in init phase IM[1] 27/05 10:38:31,694 Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:31,694 sqls error details: IM[1] 27/05 10:38:31,694 (null) IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. IM[1] 27/05 10:38:32,069 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:32,069 sqls error details: IM[1] 27/05 10:38:32,069 (null) IM[1] 27/05 10:38:32,069 returned 0. IM[1] 27/05 10:38:32,084 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. IM[1] 27/05 10:38:32,084 Failed to open database. IM[1] 27/05 10:38:32,084 Installation Manager ends> If I check the Unicenter configutation with *chkmib_l* the tool throws an exception and creates a small dump file. An Exception Occurred: Time: 27/05 09:49:38,928 Reason: ChkMIB_l.exe caused an UNKNOWN_EXCEPTION in module kernel32.dll at 7C82001B:77E4BEE7 Registers: EAX=0012F908 EBX=00000000 ECX=00000000 EDX=02410004 ESI=0012F998 EDI=0012F998 EBP=0012F958 ESP=0012F904 EIP=77E4BEE7 FLG=00000206 CS =7C82001B DS =B90023 SS =120023 ES =120023 FS =7C82003B GS =3F0000 Call Stack: 7C82001B:77E4BEE7 (0xE06D7363 0x00000001 0x00000003 0x0012F98C) kernel32.dll 7C82001B:77BB3259 (0x0012F9B8 0x2B017C50 0x2B024404 0x00B68C98) MSVCRT.dll 7C82001B:2B010C42 (0x00020003 0x010C00FE 0x003F0190 0x00B69050) PS.dll << SOFTWARE DELIVERY INSTANCE INFO >> TRIGGER 0(1) instances: JCE 0(1) instances: TM 0(1) instances: IM 0(1) instances: DM 0(1) instances: DPU 0(71) instances: NATF 0(1) instances: MIBCONV 0(0) instances: API 0(4) instances: DTSFT 0(0) instances: TNGPOP 0(0) instances: DGATE 0(0) instances: << FLUSHING MEMORY TRACES >> << STOP FLUSHING MEMORY TRACES >> I compared the configuration of the SDO service and the system configuration with another server on which the Windows Server 2003 SP2 is installed and SDO is working. The configuration is the same and the same driver and software versions are used. Do you have any idea what causes the connection issue? Should I deinstall the unicenter service and make a fresh installation on the server or should I remove the Windows Server 2003 SP2? I don't want to remove the SP2 because it's a requirement for WSUS3 SP2 and I really don't want to know how many possible exploits are possible in such an old system ;-) Thank you very much and have a nice day. Below you can find more detailed information about the system and the SDO service. psinfo output (system information) System information for \\CZZAAS1003: Uptime: 0 days 14 hours 38 minutes 50 seconds Kernel version: Microsoft Windows Server 2003, Multiprocessor Free Product type: Standard Edition Product version: 5.2 Service pack: 2 Kernel build number: 3790 Install date: 23.9.2004, 11:16:11s IE version: 6.0000 System root: C:\WINDOWS Processors: 2 Processor speed: 2.3 GHz Processor type: Intel(R) Xeon(TM) CPU Physical memory: 1024 MB Video driver: RAGE XL PCI Family (Microsoft Corporation) sdver output (Unicenter Software delivery version) Unicenter Software Delivery 4.0 SP1 I2 ENU [2901] Copyright 2004 Computer Associates International, Incorporated ms sql 2000 version and odbc driver version MS SQL 2000 Server Standard Edition Product Version: 8.00.760 (SP3) ODBC Driver: SQL Server - Version 2000.86.3959.00 complete Unicenter Software delivery service log file TRIGGER[1] 27/05 10:38:28,366 SD Trigger Agent has started NATF[1] 27/05 10:38:28,928 Initiation phase finished IM[1] 27/05 10:38:31,272 Installation Manager in init phase IM[1] 27/05 10:38:31,694 Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:31,694 sqls error details: IM[1] 27/05 10:38:31,694 (null) IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. IM[1] 27/05 10:38:32,069 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. IM[1] 27/05 10:38:32,069 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process IM(L) - [004152] failed to open database SDDATA. dbopen() call failed. IM[1] 27/05 10:38:32,069 sqls error details: IM[1] 27/05 10:38:32,069 (null) IM[1] 27/05 10:38:32,069 returned 0. IM[1] 27/05 10:38:32,084 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. IM[1] 27/05 10:38:32,084 Failed to open database. IM[1] 27/05 10:38:32,084 Installation Manager ends TM[1] 27/05 10:38:32,116 Task Manager in init phase TM[1] 27/05 10:38:32,334 Process TM(L) - [006132] failed to open database SDDATA. dbopen() call failed. TM[1] 27/05 10:38:32,334 sqls error details: TM[1] 27/05 10:38:32,334 (null) TM[1] 27/05 10:38:32,381 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. TM[1] 27/05 10:38:32,381 ##EXCEPTION## TableError C@:TaskmgrL\ASMTML.CXX:596. TM[1] 27/05 10:38:32,381 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process TM(L) - [006132] failed to open database SDDATA. dbopen() call failed. TM[1] 27/05 10:38:32,381 sqls error details: TM[1] 27/05 10:38:32,381 (null) TM[1] 27/05 10:38:32,381 returned 0. TM[1] 27/05 10:38:32,381 Persistent Storage could not be opened. Error cause is found in the ASM Event Log. Restart Task Manager. TM[1] 27/05 10:38:32,381 Failed to open database. TM[1] 27/05 10:38:32,381 Task Manager ends DM[1] 27/05 10:38:33,272 Dialogue Manager is now active API[1] 27/05 10:38:34,397 API Server Process in init phase API[1] 27/05 10:38:34,397 API - SDNLS_Init API[1] 27/05 10:38:34,397 API - connectEM API[1] 27/05 10:38:34,412 API - apiServ.init DM[1] 27/05 10:38:34,678 **AND** 1 Agents triggered API[1] 27/05 10:38:34,709 Process API(L) - [005680] failed to open database SDDATA. dbopen() call failed. API[1] 27/05 10:38:34,709 sqls error details: API[1] 27/05 10:38:34,709 (null) API[1] 27/05 10:38:34,756 ##EXCEPTION## TableError T@:PS_SQLS\isam_db.cxx:744. API[1] 27/05 10:38:34,756 ##EXCEPTION## TableError C@:MainAPIL\APISERVL.CXX:246. API[1] 27/05 10:38:34,756 ##EXCEPTION## ErrorCode: 4711 in SDDATA:Isam::Isam. Process API(L) - [005680] failed to open database SDDATA. dbopen() call failed. API[1] 27/05 10:38:34,756 sqls error details: API[1] 27/05 10:38:34,756 (null) API[1] 27/05 10:38:34,756 returned 0. API[1] 27/05 10:38:34,756 Open of the database failed. API[1] 27/05 10:38:34,756 API - apiServ.init complete API[1] 27/05 10:38:34,756 API - start_APIServer DM[1] 27/05 10:38:34,803 CZZAAR1037 DPU[1:CZZAAR1037] 27/05 10:38:35,772 DPU in init phase DPU[1:CZZAAR1037] 27/05 10:38:36,100 >> GetManagerData DPU[1:CZZAAR1037] 27/05 10:38:36,287 >> SetCompInfo DPU[1:CZZAAR1037] 27/05 10:38:36,334 >> GetContainerList DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,350 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,366 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,381 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,397 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,522 >> SetCompAttr DPU[1:CZZAAR1037] 27/05 10:38:36,569 >> SetDetected DPU[1:CZZAAR1037] 27/05 10:38:36,584 disconnect DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6ad DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6b7 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6c1 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6cb DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b6f9 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b71a DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b724 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b72e DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b738 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b742 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b74c DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b756 DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b78a DPU[1:CZZAAR1037] 27/05 10:38:36,584 getJobState 3 from 5b7af DPU[1:CZZAAR1037] 27/05 10:38:36,584 DPU ends DM[1] 27/05 10:38:38,006 **AND** 0 Agents triggered JCE[1] 27/05 10:38:38,053 JCE starts DM[1] 27/05 10:38:38,287 CZZAAS1003 DPU[2:CZZAAS1003] 27/05 10:38:38,412 DPU in init phase DPU[2:CZZAAS1003] 27/05 10:38:38,647 >> GetManagerData DPU[2:CZZAAS1003] 27/05 10:38:38,756 >> SetCompInfo DPU[2:CZZAAS1003] 27/05 10:38:38,787 >> GetContainerList DM[1] 27/05 10:38:38,850 **AND** 1 Agents triggered DM[1] 27/05 10:38:38,928 CZZAAR1124 DPU[3:CZZAAR1124] 27/05 10:38:39,053 DPU in init phase DPU[3:CZZAAR1124] 27/05 10:38:39,272 >> GetManagerData DM[1] 27/05 10:38:39,334 **AND** 1 Agents triggered DPU[3:CZZAAR1124] 27/05 10:38:39,381 >> SetCompInfo DPU[3:CZZAAR1124] 27/05 10:38:39,412 >> GetContainerList DM[1] 27/05 10:38:39,412 CZZAAR1125 DPU[3:CZZAAR1124] 27/05 10:38:39,428 getJobState 3 from 5b88e DPU[3:CZZAAR1124] 27/05 10:38:39,428 getJobState 3 from 5b88e DPU[2:CZZAAS1003] 27/05 10:38:39,491 >> SetCompAttr DPU[3:CZZAAR1124] 27/05 10:38:39,522 >> SetCompAttr DPU[4:CZZAAR1125] 27/05 10:38:39,522 DPU in init phase DPU[3:CZZAAR1124] 27/05 10:38:39,584 >> SetDetected DPU[2:CZZAAS1003] 27/05 10:38:39,584 >> SetDetected DPU[3:CZZAAR1124] 27/05 10:38:39,584 disconnect DPU[3:CZZAAR1124] 27/05 10:38:39,600 getJobState 3 from 5b88e DPU[3:CZZAAR1124] 27/05 10:38:39,600 DPU ends DPU[2:CZZAAS1003] 27/05 10:38:39,631 disconnect DPU[2:CZZAAS1003] 27/05 10:38:39,631 DPU ends DPU[4:CZZAAR1125] 27/05 10:38:39,756 >> GetManagerData DPU[4:CZZAAR1125] 27/05 10:38:39,850 >> SetCompInfo DPU[4:CZZAAR1125] 27/05 10:38:39,881 >> GetContainerList DPU[4:CZZAAR1125] 27/05 10:38:39,897 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:39,897 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:39,991 >> SetCompAttr DPU[4:CZZAAR1125] 27/05 10:38:40,100 >> SetDetected DPU[4:CZZAAR1125] 27/05 10:38:40,116 disconnect DPU[4:CZZAAR1125] 27/05 10:38:40,116 getJobState 3 from 5b8a9 DPU[4:CZZAAR1125] 27/05 10:38:40,116 DPU ends DM[1] 27/05 10:38:40,741 **AND** 0 Agents triggered JCE[1] 27/05 10:38:42,756 JCE ends DM[1] 27/05 10:38:47,475 **AND** 0 Agents triggered DM[1] 27/05 10:38:54,241 **AND** 0 Agents triggered

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  • Connection between Windows Web Server in DMZ and Windows Application Server and MS SQL Database Server within LAN [closed]

    - by user1345260
    Excuse me for being naive. But I'm a newbie. We have a Windows Web Server within DMZ and a Windows Application Server and MS SQL Database Server. What ports do we open for connection between them? For example: Someone opens the Data Driven Website on the Web Server and they should be able see the data that the website is trying to access from the Database. Currently, I'm planning to open the following ports on the Web Server to establish the access, 80 HTTP 443 HTTPS 21 FTP 3389 RDP 53 DNS 1433 MS SQL Server Please validate my assumption. I would highly appreciate your help. Also, please provide me any articles on this topic so that I can read.

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  • What container type provides better (average) performance than std::map?

    - by Truncheon
    In the following example a std::map structure is filled with 26 values from A - Z (for key) and 0 - 26 for value. The time taken (on my system) to lookup the last entry (10000000 times) is roughly 250 ms for the vector, and 125 ms for the map. (I compiled using release mode, with O3 option turned on for g++ 4.4) But if for some odd reason I wanted better performance than the std::map, what data structures and functions would I need to consider using? I apologize if the answer seems obvious to you, but I haven't had much experience in the performance critical aspects of C++ programming. UPDATE: This example is rather trivial and hides the true complexity of what I'm trying to achieve. My real world project is a simple scripting language that uses a parser, data tree, and interpreter (instead of a VM stack system). I need to use some kind of data structure (perhaps map) to store the variables names created by script programmers. These are likely to be pretty randomly named, so I need a lookup method that can quickly find a particular key within a (probably) fairly large list of names. #include <ctime> #include <map> #include <vector> #include <iostream> struct mystruct { char key; int value; mystruct(char k = 0, int v = 0) : key(k), value(v) { } }; int find(const std::vector<mystruct>& ref, char key) { for (std::vector<mystruct>::const_iterator i = ref.begin(); i != ref.end(); ++i) if (i->key == key) return i->value; return -1; } int main() { std::map<char, int> mymap; std::vector<mystruct> myvec; for (int i = 'a'; i < 'a' + 26; ++i) { mymap[i] = i - 'a'; myvec.push_back(mystruct(i, i - 'a')); } int pre = clock(); for (int i = 0; i < 10000000; ++i) { find(myvec, 'z'); } std::cout << "linear scan: milli " << clock() - pre << "\n"; pre = clock(); for (int i = 0; i < 10000000; ++i) { mymap['z']; } std::cout << "map scan: milli " << clock() - pre << "\n"; return 0; }

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  • Oracle Announces New Oracle Exastack Program for ISV Partners

    - by pfolgado
    Oracle Exastack Program Enables ISV Partners to Leverage a Scalable, Integrated Infrastructure to Deliver Their Applications Tuned and Optimized for High-Performance News Facts Enabling Independent Software Vendors (ISVs) and other members of Oracle Partner Network (OPN) to rapidly build and deliver faster, more reliable applications to end customers, Oracle today introduced Oracle Exastack Ready, available now, and Oracle Exastack Optimized, available in fall 2011 through OPN. The Oracle Exastack Program focuses on helping ISVs run their solutions on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud -- integrated systems in which the software and hardware are engineered to work together. These products provide partners with a lower cost and high performance infrastructure for database and application workloads across on-premise and cloud based environments. Leveraging the new Oracle Exastack Program in which applications can qualify as Oracle Exastack Ready or Oracle Exastack Optimized, partners can use available OPN resources to optimize their applications to run faster and more reliably -- providing increased performance to their end users. By deploying their applications on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud, ISVs can reduce the cost, time and support complexities typically associated with building and maintaining a disparate application infrastructure -- enabling them to focus more on their core competencies, accelerating innovation and delivering superior value to customers. After qualifying their applications as Oracle Exastack Ready, partners can note to customers that their applications run on and support Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud component products including Oracle Solaris, Oracle Linux, Oracle Database and Oracle WebLogic Server. Customers can be confident when choosing a partner's Oracle Exastack Optimized application, knowing it has been tuned by the OPN member on Oracle Exadata Database Machine or Oracle Exalogic Elastic Cloud with a goal of delivering optimum speed, scalability and reliability. Partners participating in the Oracle Exastack Program can also leverage their Oracle Exastack Ready and Oracle Exastack Optimized applications to advance to Platinum or Diamond level in OPN. Oracle Exastack Programs Provide ISVs a Reliable, High-Performance Application Infrastructure With the Oracle Exastack Program ISVs have several options to qualify and tune their applications with Oracle Exastack, including: Oracle Exastack Ready: Oracle Exastack Ready provides qualifying partners with specific branding and promotional benefits based on their adoption of Oracle products. If a partner application supports the latest major release of one of these products, the partner may use the corresponding logo with their product marketing materials: Oracle Solaris Ready, Oracle Linux Ready, Oracle Database Ready, and Oracle WebLogic Ready. Oracle Exastack Ready is available to OPN members at the Gold level or above. Additionally, OPN members participating in the program can leverage their Oracle Exastack Ready applications toward advancement to the Platinum or Diamond levels in the OPN Specialized program and toward achieving Oracle Exastack Optimized status. Oracle Exastack Optimized: When available, for OPN members at the Gold level or above, Oracle Exastack Optimized will provide direct access to Oracle technical resources and dedicated Oracle Exastack lab environments so OPN members can test and tune their applications to deliver optimal performance and scalability on Oracle Exadata Database Machine or Oracle Exalogic Elastic Cloud. Oracle Exastack Optimized will provide OPN members with specific branding and promotional benefits including the use of the Oracle Exastack Optimized logo. OPN members participating in the program will also be able to leverage their Oracle Exastack Optimized applications toward advancement to Platinum or Diamond level in the OPN Specialized program. Oracle Exastack Labs and ISV Enablement: Dedicated Oracle Exastack lab environments and related technical enablement resources (including Guided Learning Paths and Boot Camps) will be available through OPN for OPN members to further their knowledge of Oracle Exastack offerings, and qualify their applications for Oracle Exastack Optimized or Oracle Exastack Ready. Oracle Exastack labs will be available to qualifying OPN members at the Gold level or above. Partners are eligible to participate in the Oracle Exastack Ready program immediately, which will help them meet the requirements to attain Oracle Exastack Optimized status in the future. Guidelines for Oracle Exastack Optimized, as well as Oracle Exastack Labs will be available in fall 2011. Supporting Quotes "In order to effectively differentiate their software applications in the marketplace, ISVs need to rapidly deliver new capabilities and performance improvements," said Judson Althoff, Oracle senior vice president of Worldwide Alliances and Channels and Embedded Sales. "With Oracle Exastack, ISVs have the ability to optimize and deploy their applications with a complete, integrated and cloud-ready infrastructure that will help them accelerate innovation, unlock new features and functionality, and deliver superior value to customers." "We view performance as absolutely critical and a key differentiator," said Tom Stock, SVP of Product Management, GoldenSource. "As a leading provider of enterprise data management solutions for securities and investment management firms, with Oracle Exadata Database Machine, we see an opportunity to notably improve data processing performance -- providing high quality 'golden copy' data in a reduced timeframe. Achieving Oracle Exastack Optimized status will be a stamp of approval that our solution will provide the performance and scalability that our customers demand." "As a leading provider of Revenue Intelligence solutions for telecommunications, media and entertainment service providers, our customers continually demand more readily accessible, enriched and pre-analyzed information to minimize their financial risks and maximize their margins," said Alon Aginsky, President and CEO of cVidya Networks. "Oracle Exastack enables our solutions to deliver the power, infrastructure, and innovation required to transform our customers' business operations and stay ahead of the game." Supporting Resources Oracle PartnerNetwork (OPN) Oracle Exastack Oracle Exastack Datasheet Judson Althoff blog Connect with the Oracle Partner community at OPN on Facebook, OPN on LinkedIn, OPN on YouTube, or OPN on Twitter

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  • Option Trading: Getting the most out of the event session options

    - by extended_events
    You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Option Trading: Getting the most out of the event session options

    - by extended_events
    You can control different aspects of how an event session behaves by setting the event session options as part of the CREATE EVENT SESSION DDL. The default settings for the event session options are designed to handle most of the common event collection situations so I generally recommend that you just use the defaults. Like everything in the real world though, there are going to be a handful of “special cases” that require something different. This post focuses on identifying the special cases and the correct use of the options to accommodate those cases. There is a reason it’s called Default The default session options specify a total event buffer size of 4 MB with a 30 second latency. Translating this into human terms; this means that our default behavior is that the system will start processing events from the event buffer when we reach about 1.3 MB of events or after 30 seconds, which ever comes first. Aside: What’s up with the 1.3 MB, I thought you said the buffer was 4 MB?The Extended Events engine takes the total buffer size specified by MAX_MEMORY (4MB by default) and divides it into 3 equally sized buffers. This is done so that a session can be publishing events to one buffer while other buffers are being processed. There are always at least three buffers; how to get more than three is covered later. Using this configuration, the Extended Events engine can “keep up” with most event sessions on standard workloads. Why is this? The fact is that most events are small, really small; on the order of a couple hundred bytes. Even when you start considering events that carry dynamically sized data (eg. binary, text, etc.) or adding actions that collect additional data, the total size of the event is still likely to be pretty small. This means that each buffer can likely hold thousands of events before it has to be processed. When the event buffers are finally processed there is an economy of scale achieved since most targets support bulk processing of the events so they are processed at the buffer level rather than the individual event level. When all this is working together it’s more likely that a full buffer will be processed and put back into the ready queue before the remaining buffers (remember, there are at least three) are full. I know what you’re going to say: “My server is exceptional! My workload is so massive it defies categorization!” OK, maybe you weren’t going to say that exactly, but you were probably thinking it. The point is that there are situations that won’t be covered by the Default, but that’s a good place to start and this post assumes you’ve started there so that you have something to look at in order to determine if you do have a special case that needs different settings. So let’s get to the special cases… What event just fired?! How about now?! Now?! If you believe the commercial adage from Heinz Ketchup (Heinz Slow Good Ketchup ad on You Tube), some things are worth the wait. This is not a belief held by most DBAs, particularly DBAs who are looking for an answer to a troubleshooting question fast. If you’re one of these anxious DBAs, or maybe just a Program Manager doing a demo, then 30 seconds might be longer than you’re comfortable waiting. If you find yourself in this situation then consider changing the MAX_DISPATCH_LATENCY option for your event session. This option will force the event buffers to be processed based on your time schedule. This option only makes sense for the asynchronous targets since those are the ones where we allow events to build up in the event buffer – if you’re using one of the synchronous targets this option isn’t relevant. Avoid forgotten events by increasing your memory Have you ever had one of those days where you keep forgetting things? That can happen in Extended Events too; we call it dropped events. In order to optimizes for server performance and help ensure that the Extended Events doesn’t block the server if to drop events that can’t be published to a buffer because the buffer is full. You can determine if events are being dropped from a session by querying the dm_xe_sessions DMV and looking at the dropped_event_count field. Aside: Should you care if you’re dropping events?Maybe not – think about why you’re collecting data in the first place and whether you’re really going to miss a few dropped events. For example, if you’re collecting query duration stats over thousands of executions of a query it won’t make a huge difference to miss a couple executions. Use your best judgment. If you find that your session is dropping events it means that the event buffer is not large enough to handle the volume of events that are being published. There are two ways to address this problem. First, you could collect fewer events – examine you session to see if you are over collecting. Do you need all the actions you’ve specified? Could you apply a predicate to be more specific about when you fire the event? Assuming the session is defined correctly, the next option is to change the MAX_MEMORY option to a larger number. Picking the right event buffer size might take some trial and error, but a good place to start is with the number of dropped events compared to the number you’ve collected. Aside: There are three different behaviors for dropping events that you specify using the EVENT_RETENTION_MODE option. The default is to allow single event loss and you should stick with this setting since it is the best choice for keeping the impact on server performance low.You’ll be tempted to use the setting to not lose any events (NO_EVENT_LOSS) – resist this urge since it can result in blocking on the server. If you’re worried that you’re losing events you should be increasing your event buffer memory as described in this section. Some events are too big to fail A less common reason for dropping an event is when an event is so large that it can’t fit into the event buffer. Even though most events are going to be small, you might find a condition that occasionally generates a very large event. You can determine if your session is dropping large events by looking at the dm_xe_sessions DMV once again, this time check the largest_event_dropped_size. If this value is larger than the size of your event buffer [remember, the size of your event buffer, by default, is max_memory / 3] then you need a large event buffer. To specify a large event buffer you set the MAX_EVENT_SIZE option to a value large enough to fit the largest event dropped based on data from the DMV. When you set this option the Extended Events engine will create two buffers of this size to accommodate these large events. As an added bonus (no extra charge) the large event buffer will also be used to store normal events in the cases where the normal event buffers are all full and waiting to be processed. (Note: This is just a side-effect, not the intended use. If you’re dropping many normal events then you should increase your normal event buffer size.) Partitioning: moving your events to a sub-division Earlier I alluded to the fact that you can configure your event session to use more than the standard three event buffers – this is called partitioning and is controlled by the MEMORY_PARTITION_MODE option. The result of setting this option is fairly easy to explain, but knowing when to use it is a bit more art than science. First the science… You can configure partitioning in three ways: None, Per NUMA Node & Per CPU. This specifies the location where sets of event buffers are created with fairly obvious implication. There are rules we follow for sub-dividing the total memory (specified by MAX_MEMORY) between all the event buffers that are specific to the mode used: None: 3 buffers (fixed)Node: 3 * number_of_nodesCPU: 2.5 * number_of_cpus Here are some examples of what this means for different Node/CPU counts: Configuration None Node CPU 2 CPUs, 1 Node 3 buffers 3 buffers 5 buffers 6 CPUs, 2 Node 3 buffers 6 buffers 15 buffers 40 CPUs, 5 Nodes 3 buffers 15 buffers 100 buffers   Aside: Buffer size on multi-processor computersAs the number of Nodes or CPUs increases, the size of the event buffer gets smaller because the total memory is sub-divided into more pieces. The defaults will hold up to this for a while since each buffer set is holding events only from the Node or CPU that it is associated with, but at some point the buffers will get too small and you’ll either see events being dropped or you’ll get an error when you create your session because you’re below the minimum buffer size. Increase the MAX_MEMORY setting to an appropriate number for the configuration. The most likely reason to start partitioning is going to be related to performance. If you notice that running an event session is impacting the performance of your server beyond a reasonably expected level [Yes, there is a reasonably expected level of work required to collect events.] then partitioning might be an answer. Before you partition you might want to check a few other things: Is your event retention set to NO_EVENT_LOSS and causing blocking? (I told you not to do this.) Consider changing your event loss mode or increasing memory. Are you over collecting and causing more work than necessary? Consider adding predicates to events or removing unnecessary events and actions from your session. Are you writing the file target to the same slow disk that you use for TempDB and your other high activity databases? <kidding> <not really> It’s always worth considering the end to end picture – if you’re writing events to a file you can be impacted by I/O, network; all the usual stuff. Assuming you’ve ruled out the obvious (and not so obvious) issues, there are performance conditions that will be addressed by partitioning. For example, it’s possible to have a successful event session (eg. no dropped events) but still see a performance impact because you have many CPUs all attempting to write to the same free buffer and having to wait in line to finish their work. This is a case where partitioning would relieve the contention between the different CPUs and likely reduce the performance impact cause by the event session. There is no DMV you can check to find these conditions – sorry – that’s where the art comes in. This is  largely a matter of experimentation. On the bright side you probably won’t need to to worry about this level of detail all that often. The performance impact of Extended Events is significantly lower than what you may be used to with SQL Trace. You will likely only care about the impact if you are trying to set up a long running event session that will be part of your everyday workload – sessions used for short term troubleshooting will likely fall into the “reasonably expected impact” category. Hey buddy – I think you forgot something OK, there are two options I didn’t cover: STARTUP_STATE & TRACK_CAUSALITY. If you want your event sessions to start automatically when the server starts, set the STARTUP_STATE option to ON. (Now there is only one option I didn’t cover.) I’m going to leave causality for another post since it’s not really related to session behavior, it’s more about event analysis. - Mike Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Do Not Optimize Without Measuring

    - by Alois Kraus
    Recently I had to do some performance work which included reading a lot of code. It is fascinating with what ideas people come up to solve a problem. Especially when there is no problem. When you look at other peoples code you will not be able to tell if it is well performing or not by reading it. You need to execute it with some sort of tracing or even better under a profiler. The first rule of the performance club is not to think and then to optimize but to measure, think and then optimize. The second rule is to do this do this in a loop to prevent slipping in bad things for too long into your code base. If you skip for some reason the measure step and optimize directly it is like changing the wave function in quantum mechanics. This has no observable effect in our world since it does represent only a probability distribution of all possible values. In quantum mechanics you need to let the wave function collapse to a single value. A collapsed wave function has therefore not many but one distinct value. This is what we physicists call a measurement. If you optimize your application without measuring it you are just changing the probability distribution of your potential performance values. Which performance your application actually has is still unknown. You only know that it will be within a specific range with a certain probability. As usual there are unlikely values within your distribution like a startup time of 20 minutes which should only happen once in 100 000 years. 100 000 years are a very short time when the first customer tries your heavily distributed networking application to run over a slow WIFI network… What is the point of this? Every programmer/architect has a mental performance model in his head. A model has always a set of explicit preconditions and a lot more implicit assumptions baked into it. When the model is good it will help you to think of good designs but it can also be the source of problems. In real world systems not all assumptions of your performance model (implicit or explicit) hold true any longer. The only way to connect your performance model and the real world is to measure it. In the WIFI example the model did assume a low latency high bandwidth LAN connection. If this assumption becomes wrong the system did have a drastic change in startup time. Lets look at a example. Lets assume we want to cache some expensive UI resource like fonts objects. For this undertaking we do create a Cache class with the UI themes we want to support. Since Fonts are expensive objects we do create it on demand the first time the theme is requested. A simple example of a Theme cache might look like this: using System; using System.Collections.Generic; using System.Drawing; struct Theme { public Color Color; public Font Font; } static class ThemeCache { static Dictionary<string, Theme> _Cache = new Dictionary<string, Theme> { {"Default", new Theme { Color = Color.AliceBlue }}, {"Theme12", new Theme { Color = Color.Aqua }}, }; public static Theme Get(string theme) { Theme cached = _Cache[theme]; if (cached.Font == null) { Console.WriteLine("Creating new font"); cached.Font = new Font("Arial", 8); } return cached; } } class Program { static void Main(string[] args) { Theme item = ThemeCache.Get("Theme12"); item = ThemeCache.Get("Theme12"); } } This cache does create font objects only once since on first retrieve of the Theme object the font is added to the Theme object. When we let the application run it should print “Creating new font” only once. Right? Wrong! The vigilant readers have spotted the issue already. The creator of this cache class wanted to get maximum performance. So he decided that the Theme object should be a value type (struct) to not put too much pressure on the garbage collector. The code Theme cached = _Cache[theme]; if (cached.Font == null) { Console.WriteLine("Creating new font"); cached.Font = new Font("Arial", 8); } does work with a copy of the value stored in the dictionary. This means we do mutate a copy of the Theme object and return it to our caller. But the original Theme object in the dictionary will have always null for the Font field! The solution is to change the declaration of struct Theme to class Theme or to update the theme object in the dictionary. Our cache as it is currently is actually a non caching cache. The funny thing was that I found out with a profiler by looking at which objects where finalized. I found way too many font objects to be finalized. After a bit debugging I found the allocation source for Font objects was this cache. Since this cache was there for years it means that the cache was never needed since I found no perf issue due to the creation of font objects. the cache was never profiled if it did bring any performance gain. to make the cache beneficial it needs to be accessed much more often. That was the story of the non caching cache. Next time I will write something something about measuring.

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  • LINQ-like or SQL-like DSL for end-users to run queries to select (not modify) data?

    - by Mark Rushakoff
    For a utility I'm working on, the client would like to be able to generate graphic reports on the data that has been collected. I can already generate a couple canned graphs (using ZedGraph, which is a very nice library); however, the utility would be much more flexible if the graphs were more programmable or configurable by the end-user. TLDR version I want users to be able to use something like SQL to safely extract and select data from a List of objects that I provide and can describe. What free tools or libraries will help me accomplish this? Full version I've given thought to using IronPython, IronRuby, and LuaInterface, but frankly they're all a bit overpowered for what I want to do. My classes are fairly simple, along the lines of: class Person: string Name; int HeightInCm; DateTime BirthDate; Weight[] WeighIns; class Weight: int WeightInKg; DateTime Date; Person Owner; (exact classes have been changed to protect the innocent). To come up with the data for the graph, the user will choose whether it's a bar graph, scatter plot, etc., and then to actually obtain the data, I would like to obtain some kind of List from the user simply entering something SQL-ish along the lines of SELECT Name, AVG(WeighIns) FROM People SELECT WeightInKg, Owner.HeightInCm FROM Weights And as a bonus, it would be nice if you could actually do operations as well: SELECT WeightInKg, (Date - Owner.BirthDate) AS Age FROM Weights The DSL doesn't have to be compliant SQL in any way; it doesn't even have to resemble SQL, but I can't think of a more efficient descriptive language for the task. I'm fine filling in blanks; I don't expect a library to do everything for me. What I would expect to exist (but haven't been able to find in any way, shape, or form) is something like Fluent NHibernate (which I am already using in the project) where I can declare a mapping, something like var personRequest = Request<Person>(); personRequest.Item("Name", (p => p.Name)); personRequest.Item("HeightInCm", (p => p.HeightInCm)); personRequest.Item("HeightInInches", (p => p.HeightInCm * CM_TO_INCHES)); // ... var weightRequest = Request<Weight>(); weightRequest.Item("Owner", (w => w.Owner), personRequest); // Indicate a chain to personRequest // ... var people = Table<Person>("People", GetPeopleFromDatabase()); var weights = Table<Weight>("Weights", GetWeightsFromDatabase()); // ... TryRunQuery(userInputQuery); LINQ is so close to what I want to do, but AFAIK there's no way to sandbox it. I don't want to expose any unnecessary functionality to the end user; meaning I don't want the user to be able to send in and process: from p in people select (p => { System.IO.File.Delete("C:\\something\\important"); return p.Name }) So does anyone know of any free .NET libraries that allow something like what I've described above? Or is there some way to sandbox LINQ? cs-script is close too, but it doesn't seem to offer sandboxing yet either. I'd be hesitant to expose the NHibernate interface either, as the user should have a read-only view of the data at this point in the usage. I'm using C# 3.5, and pure .NET solutions would be preferred. The bottom line is that I'm really trying to avoid writing my own parser for a subset of SQL that would only apply to this single project.

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  • Entity Framework vs. nHibernate for Performance, Learning Curve overall features

    - by hadi
    I know this has been asked several times and I have read all the posts as well but they all are very old. And considering there have been advancements in versions and releases, I am hoping there might be fresh views. We are building a new application on ASP.NET MVC and need to finalize on an ORM tool. We have never used ORM before and have pretty much boiled down to two - nHibernate & Entity Framework. I really need some advice from someone who has used both these tools and can recommend based on experience. There are three points that I am focusing on to finalize - Performance Learning Curve Overall Capability Your advice will be highly appreciated. Best Regards,

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