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• Rychlejší aplikace i bez zmen dotazu - 1.díl - vliv castých Commitu

  - by david.krch

  Pamatuji si, jak jsem pred pár lety sedel na konferenci Oracle Develop a sledoval svého ponekud známejšího kolegu Marka Townsenda ukazovat prostinké demo - jak se jedna a tatáž operace dá udelat bud velmi pomalu a nebo velmi rychle. Nešlo o klasické ladení SQL, ale efektivní volání techto dotazu. Jednotlivé techniky samy o sobe jsou pritom asi všem známé. Ohromilo mne ale hlavne to, jak velký rozdíl ve výkonu stejné operace provádené stejným jednoduchým SQL dotazem muže být. Ríkám si, že kdyby ten rozdíl videlo více lidí, možná by se casteji donutili napsat o ten jeden, dva rádky kódu více, aby byl kód treba i o rád efektivnejší a rychlejší. Pokusil jsem se udelat podobný príklad a na jeho základne vznikla trojice clánku, které postupne vycházely na server Databázový svet.Z nejakého duvodu se ale poslední díl nikdy nedockal publikace. Protože jsem od té doby párkrát narazil na potrebu odkázat nekoho na celou trojici clánku, rozhodl jsem se je re-publikovat na tomto blogu. Problém a rešení budu ukazovat v Jave, ale ve skutecnosti jde o postupy, které jsou platné at už voláte databázi odkudkoliv. Úkol je jednoduchý - vložit 100.000 záznamu do jednoduché tabulky. A postupne si ukážeme že ze základního nejpomalejšího rešení se nekolika jednoduchými kroky dostaneme na rešení, které bude 80x rychlejší.

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• Rychlejší aplikace i bez zmen dotazu - 2.díl - vliv vázaných promenných

  - by david.krch

  V minulém díle jsme si na vzorovém príkladu vkládání 100.000 záznamu ukázali jak velkou zátež muže pro databázový server znamenat zbytecne casté commitování. Dobu zpracování této operace jsme snížili ze 167 na 105 sekund, tedy o tretinu. Ke slibovanému osmdesátinásobnému zrychlení nám chybí ješte dva kroky. V záveru predchozího dílu jsme zjistili, že parsování (rozbor a optimalizace) dotazu zabralo serveru celých 74 ze zminovaných 105 sekund. Svou pozornost dnes zameríme práve na minimalizaci casu parsování.

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• Rychlejší aplikace i bez zmen dotazu - 3.díl - vliv hromadných operací a shrnutí

  - by david.krch

  V predchozích dvou dílech jsme si ukázali, jak lze vzorový príklad vkládání 100.000 záznamu zrychlit, pokud se nám podarí minimalizovat pocet commitu a zacít používat v dotazech vázané promenné. Temito dvema zmenami jsme puvodní cas 167 sekund snížili postupne na 105 a následne na 19 sekund. Ke slibovanému osmdesátinásobnému zrychlení potrebujeme dosáhnout ješte cca desetinásobného zrychlení. Provedeme to tím, že se 100.000 jednotlivých operací pokusíme prevést na menší pocet hromadných operací.

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• Controllers in CodeIgniter

  - by Dileep Dil

  I little bit new to the CodeIgniter framework and this is my first project with this framework. During a chat on StackOverflow somebody said that we need to make controllers tiny as possible. Currently I have a default controller named home with 1332 lines of codes (and increasing) and a model named Profunction with 1356 lines of codes (and increasing). The controller class have about 46 functions on it and also with model class. I thought that Codeigniter can handle large Controllers or Models well, is there any problem/performance issue/security issues regarding this?

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• How can I convert .mp4 files to .3gp using ffmpeg?

  - by harisibrahimkv

  I would like to download a few videos from youtube and convert them to 3gp so that I can play them on my phone. I would like to know how this can be done using ffmpeg. I tried the various results on the net only to get the following errors. I used: ffmpeg -i dil.mp4 -sameq -ab 64k -ar 44100 dilenada.3gp I got: Unsupported codec for output stream #0.1 Seems stream 0 codec frame rate differs from container frame rate: 2000.00 (2000/1) - 29.92 (359/12) I used: ffmpeg -y -i dil.mp4 -r 20 -s 352x288 -b 400k -acodec libfaac -ac 1 -ar 2000 -ab 24k dilenada.3gp I got: Seems stream 0 codec frame rate differs from container frame rate: 2000.00 (2000/1) -> 29.92 (359/12) Unknown encoder 'libfaac' What am I doing wrong?

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• startup failed due to previous errors

  - by dileep sharma

  this is the error im getting now [QUOTE]12-jun-2012 12:22:45 org.apache.catalina.startup.HostConfig deployWAR INFO: Deploying web application archive ZangV3Spring.war 12-jun-2012 12:22:49 org.apache.catalina.core.StandardContext startInternal SEVERE: Error listenerStart 12-jun-2012 12:22:49 org.apache.catalina.core.StandardContext startInternal SEVERE: Context [/ZangV3Spring] startup failed due to previous errors plz solved this problem

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• Seperate Configuration files for each user in codeigniter

  - by Dileep Dil

  is it possible to make Config files for each and every users? Currently i have a Config file named Siteconfig.php for global configuration. Now a user registered,so that i need a configuration file for that user. I have a BANNER ,user uploads images to the server and select some images for that banner. I want to store the names of the images in the configuration file,i know that database is another way. is there any wrong with this ? or is it possible to do this ? Thank you.

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• World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

  - by Brian

  Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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• Grep for 2 words after pattern found

  - by Dileep Ch

  The scenario is i have a file and contains a string "the date and time is 2012-12-07 17:11:50" I had searched and found a command grep 'the date and time is' 2012-12-07.txt | cut -d\ -f5 it just displays the 5th word and i need the combination of 5th and 6th, so i tried grep 'the date and time is' 2012-12-07.txt | cut -d\ -f5 -f6 But its error. Now, how to grep the 5th and 6th word with one command I just need the output like 2012-12-07 17:11:50

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• JavaScript Browser Hacks

  Recently during one of my client side scripting classes, I was trying to show my students some basic examples of JavaScript as an introduction to the language.  My first basic example was to show an alert box using JavaScript via the address bar. The student’s reaction to my browser hack example really caught me off guard in a good way. After programming with a language for close to 10 years you start to lose the "Awe Cool!" effect that new learners of a language experience when writing code. New learns of JavaScript are the reason why I created this post. Please enjoy. Note: Place JavaScript in to address bar and then press the enter key. Example 1: JavaScript Alert box displaying My name: John Doe Javascript:alert('My name: \n John Doe') ; Example 2: JavaScript alert box displaying name entered by user. javascript:alert('My name: \n ' + prompt('Enter Name','Name')) ; Example 3: JavaScript alert box displaying name entered by user, and then displays the length of the name. javascript:var name= prompt('Enter Name','Name'); alert('My name: \n ' + name); alert(name.length); If you notice, the address bar will execute JavaScript on the current page loaded in the browser using the Document Object Model (DOM). Additionally, the address bar will allow multiple lines to be executed sequentially even though all of the code is contained within one line due to the fact that the JavaScript interpreter uses the “;” to indicate where a line of ends and a new one begins. After doing a little more research on the topic of JavaScript Browser Hacks I found a few other cool JavaScript hacks which I will list below. Example 4: Make any webpage editableSource: http://www.openjason.com/2008/09/02/browser-hack-make-any-web-page-editable/ javascript:document.body.contentEditable='true'; document.designMode='on'; void 0; Example 5: CHINESE DRAGON DANCING Source: http://nzeyi.wordpress.com/2009/06/01/dwrajaxjavascript-hacks-the-secrets-of-javascript-in-the-adress-bar/ javascript:R=0;x1=0.1;y1=0.05;x2=0.25;y2=0.24;x3=1.6; y3=0.24;x4=300;y4=200;x5=300;y5=200;DI=document.links; DIL=DI.length;A=function(){for(i=0;i-DIL;i++){DI[i].style. position='absolute';DI[i].style.left=Math.sin(R*x1+i*x2+x3)*x4+ x5;DI[i].style.top=Math.cos(R*y1+i*y2+y3)*y4+y5}R++;}; setInterval('A()',5);void(0); Example 6: Reveal content stored in password protected fields javascript:(function(){var s,F,j,f,i; s = “”; F = document.forms; for(j=0; j Example 7: Force user to close browser windowSource: http://forums.digitalpoint.com/showthread.php?t=767053 javascript:while(1){alert('Restart your brower to close this box!')} Learn more about JavaScript Browser Hacks.

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• IBM System x3650 M2: Benchmark of Oracle's JDE 9.0 with Oracle VM

  - by didier.wojciechowski

  The IBM Oracle International Competency Center (ICC) in Denver, Colorado in a joint effort with the Oracle JD Edwards performance team was the first to execute a certified JD Edwards EnterpriseOne benchmark running on the new Intel® Xeon® processor 5500 series (Nehalem). This benchmark configuration included the IBM System x3650 M2, partitioned using Oracle Virtual Machine (VM), and Oracle's robust "Day in the Life" (DIL) test kit. In October, 2009 the benchmark scaled to 700 users with early code. In January 2010, with GA level code, the benchmark scaled successfully to 1000 users with sub-second response time.

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• SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component

  - by Brian

  Using Oracle's SPARC T3-1 server for the application tier and Oracle's SPARC Enterprise M3000 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne applications Day in the Life benchmark run concurrently with a batch workload. The SPARC T3-1 server based result has 25% better performance than the IBM Power 750 POWER7 server even though the IBM result did not include running a batch component. The SPARC T3-1 server based result has 25% better space/performance than the IBM Power 750 POWER7 server as measured by the online component. The SPARC T3-1 server based result is 5x faster than the x86-based IBM x3650 M2 server system when executing the online component of the JD Edwards EnterpriseOne 9.0.1 Day in the Life benchmark. The IBM result did not include a batch component. The SPARC T3-1 server based result has 2.5x better space/performance than the x86-based IBM x3650 M2 server as measured by the online component. The combination of SPARC T3-1 and SPARC Enterprise M3000 servers delivered a Day in the Life benchmark result of 5000 online users with 0.875 seconds of average transaction response time running concurrently with 19 Universal Batch Engine (UBE) processes at 10 UBEs/minute. The solution exercises various JD Edwards EnterpriseOne applications while running Oracle WebLogic Server 11g Release 1 and Oracle Web Tier Utilities 11g HTTP server in Oracle Solaris Containers, together with the Oracle Database 11g Release 2. The SPARC T3-1 server showed that it could handle the additional workload of batch processing while maintaining the same number of online users for the JD Edwards EnterpriseOne Day in the Life benchmark. This was accomplished with minimal loss in response time. JD Edwards EnterpriseOne 9.0.1 takes advantage of the large number of compute threads available in the SPARC T3-1 server at the application tier and achieves excellent response times. The SPARC T3-1 server consolidates the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth. A number of Oracle advanced technology and features were used to obtain this result: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle WebLogic Server 11g Release 1, Oracle Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and SPARC64 VII+ based servers. This is the first published result running both online and batch workload concurrently on the JD Enterprise Application server. No published results are available from IBM running the online component together with a batch workload. The 9.0.1 version of the benchmark saw some minor performance improvements relative to 9.0. When comparing between 9.0.1 and 9.0 results, the reader should take this into account when the difference between results is small. Performance Landscape JD Edwards EnterpriseOne Day in the Life Benchmark Online with Batch Workload This is the first publication on the Day in the Life benchmark run concurrently with batch jobs. The batch workload was provided by Oracle's Universal Batch Engine. System RackUnits Online Users Resp Time (sec) BatchConcur(# of UBEs) BatchRate(UBEs/m) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII+ (2.86 GHz), Solaris 10 4 5000 0.88 19 10 9.0.1 Resp Time (sec) — Response time of online jobs reported in seconds Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs Batch Rate (UBEs/m) — Batch transaction rate in UBEs/minute. JD Edwards EnterpriseOne Day in the Life Benchmark Online Workload Only These results are for the Day in the Life benchmark. They are run without any batch workload. System RackUnits Online Users ResponseTime (sec) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII (2.75 GHz), Solaris 10 4 5000 0.52 9.0.1 IBM Power 750, 1xPOWER7 (3.55 GHz), IBM i7.1 4 4000 0.61 9.0 IBM x3650M2, 2xIntel X5570 (2.93 GHz), OVM 2 1000 0.29 9.0 IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere Configuration Summary Hardware Configuration: 1 x SPARC T3-1 server 1 x 1.65 GHz SPARC T3 128 GB memory 16 x 300 GB 10000 RPM SAS 1 x Sun Flash Accelerator F20 PCIe Card, 92 GB 1 x 10 GbE NIC 1 x SPARC Enterprise M3000 server 1 x 2.86 SPARC64 VII+ 64 GB memory 1 x 10 GbE NIC 2 x StorageTek 2540 + 2501 Software Configuration: JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3 Oracle Database 11g Release 2 Oracle 11g WebLogic server 11g Release 1 version 10.3.2 Oracle Web Tier Utilities 11g Oracle Solaris 10 9/10 Mercury LoadRunner 9.10 with Oracle Day in the Life kit for JD Edwards EnterpriseOne 9.0.1 Oracle’s Universal Batch Engine - Short UBEs and Long UBEs Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and other manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE workload of 15 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large UBEs, and the QPROCESS queue for short UBEs run concurrently. One of the Oracle Solaris Containers ran 4 Long UBEs, while another Container ran 15 short UBEs concurrently. The mixed size UBEs ran concurrently from the SPARC T3-1 server with the 5000 online users driven by the LoadRunner. Oracle’s UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers. See Also SPARC T3-1 oracle.com SPARC Enterprise M3000 oracle.com Oracle Solaris oracle.com JD Edwards EnterpriseOne oracle.com Oracle Database 11g Release 2 Enterprise Edition oracle.com Disclosure Statement Copyright 2011, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 6/27/2011.

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• Automatic Deployment of Windows Application

  - by dileepkrishnan

  Hi, We have setup continuos integration in our development environment using SVN, CC.Net, MSBuild and Nunit. Now, we want to automate the process of moving (copying) builds from one stage to another like this: Whenever a new build succeeds in Dev, that should be copied automatically to the QA server (a folder on the QA server, to be exact) Whenever a QA build succeeds tests in QA, that QA build should be copied to the UAT server (a folder on the UAT server, to be exact). This should be implemented as a process (a CC task, for example) which we can start when QA succeeds. Whenever a UAT build succeeds tests in UAT, that should be copied to the PROD server (a folder on the PROD server, to be exact). This should be implemented as a process (a CC task, for example) which we can start when UAT succeeds. How do I implement this? Can this be done using CC.Net alone? Or, can this be done using MSBuild? Or, do I need to employ both? Please advise what exactly needs to be done. Thanks Dileep Krishnan

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• J2EE Applications, SPARC T4, Solaris Containers, and Resource Pools

  - by user12620111

  I've obtained a substantial performance improvement on a SPARC T4-2 Server running a J2EE Application Server Cluster by deploying the cluster members into Oracle Solaris Containers and binding those containers to cores of the SPARC T4 Processor. This is not a surprising result, in fact, it is consistent with other results that are available on the Internet. See the "references", below, for some examples. Nonetheless, here is a summary of my configuration and results. (1.0) Before deploying a J2EE Application Server Cluster into a virtualized environment, many decisions need to be made. I'm not claiming that all of the decisions that I have a made will work well for every environment. In fact, I'm not even claiming that all of the decisions are the best possible for my environment. I'm only claiming that of the small sample of configurations that I've tested, this is the one that is working best for me. Here are some of the decisions that needed to be made: (1.1) Which virtualization option? There are several virtualization options and isolation levels that are available. Options include: Hard partitions:  Dynamic Domains on Sun SPARC Enterprise M-Series Servers Hypervisor based virtualization such as Oracle VM Server for SPARC (LDOMs) on SPARC T-Series Servers OS Virtualization using Oracle Solaris Containers Resource management tools in the Oracle Solaris OS to control the amount of resources an application receives, such as CPU cycles, physical memory, and network bandwidth. Oracle Solaris Containers provide the right level of isolation and flexibility for my environment. To borrow some words from my friends in marketing, "The SPARC T4 processor leverages the unique, no-cost virtualization capabilities of Oracle Solaris Zones"  (1.2) How to associate Oracle Solaris Containers with resources? There are several options available to associate containers with resources, including (a) resource pool association (b) dedicated-cpu resources and (c) capped-cpu resources. I chose to create resource pools and associate them with the containers because I wanted explicit control over the cores and virtual processors.  (1.3) Cluster Topology? Is it best to deploy (a) multiple application servers on one node, (b) one application server on multiple nodes, or (c) multiple application servers on multiple nodes? After a few quick tests, it appears that one application server per Oracle Solaris Container is a good solution. (1.4) Number of cluster members to deploy? I chose to deploy four big 64-bit application servers. I would like go back a test many 32-bit application servers, but that is left for another day. (2.0) Configuration tested. (2.1) I was using a SPARC T4-2 Server which has 2 CPU and 128 virtual processors. To understand the physical layout of the hardware on Solaris 10, I used the OpenSolaris psrinfo perl script available at http://hub.opensolaris.org/bin/download/Community+Group+performance/files/psrinfo.pl: test# ./psrinfo.pl -pv The physical processor has 8 cores and 64 virtual processors (0-63) The core has 8 virtual processors (0-7)   The core has 8 virtual processors (8-15)   The core has 8 virtual processors (16-23)   The core has 8 virtual processors (24-31)   The core has 8 virtual processors (32-39)   The core has 8 virtual processors (40-47)   The core has 8 virtual processors (48-55)   The core has 8 virtual processors (56-63)     SPARC-T4 (chipid 0, clock 2848 MHz) The physical processor has 8 cores and 64 virtual processors (64-127)   The core has 8 virtual processors (64-71)   The core has 8 virtual processors (72-79)   The core has 8 virtual processors (80-87)   The core has 8 virtual processors (88-95)   The core has 8 virtual processors (96-103)   The core has 8 virtual processors (104-111)   The core has 8 virtual processors (112-119)   The core has 8 virtual processors (120-127)     SPARC-T4 (chipid 1, clock 2848 MHz) (2.2) The "before" test: without processor binding. I started with a 4-member cluster deployed into 4 Oracle Solaris Containers. Each container used a unique gigabit Ethernet port for HTTP traffic. The containers shared a 10 gigabit Ethernet port for JDBC traffic. (2.3) The "after" test: with processor binding. I ran one application server in the Global Zone and another application server in each of the three non-global zones (NGZ):  (3.0) Configuration steps. The following steps need to be repeated for all three Oracle Solaris Containers. (3.1) Stop AppServers from the BUI. (3.2) Stop the NGZ. test# ssh test-z2 init 5 (3.3) Enable resource pools: test# svcadm enable pools (3.4) Create the resource pool: test# poolcfg -dc 'create pool pool-test-z2' (3.5) Create the processor set: test# poolcfg -dc 'create pset pset-test-z2' (3.6) Specify the maximum number of CPU's that may be addd to the processor set: test# poolcfg -dc 'modify pset pset-test-z2 (uint pset.max=32)' (3.7) bash syntax to add Virtual CPUs to the processor set: test# (( i = 64 )); while (( i < 96 )); do poolcfg -dc "transfer to pset pset-test-z2 (cpu $i)"; (( i = i + 1 )) ; done (3.8) Associate the resource pool with the processor set: test# poolcfg -dc 'associate pool pool-test-z2 (pset pset-test-z2)' (3.9) Tell the zone to use the resource pool that has been created: test# zonecfg -z test-z1 set pool=pool-test-z2 (3.10) Boot the Oracle Solaris Container test# zoneadm -z test-z2 boot (3.11) Save the configuration to /etc/pooladm.conf test# pooladm -s (4.0) Results. Using the resource pools improves both throughput and response time: (5.0) References: System Administration Guide: Oracle Solaris Containers-Resource Management and Oracle Solaris Zones Capitalizing on large numbers of processors with WebSphere Portal on Solaris WebSphere Application Server and T5440 (Dileep Kumar's Weblog)  http://www.brendangregg.com/zones.html Reuters Market Data System, RMDS 6 Multiple Instances (Consolidated), Performance Test Results in Solaris, Containers/Zones Environment on Sun Blade X6270 by Amjad Khan, 2009.

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