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  • Provisioning Videos

    - by Owen Allen
    There are a couple of new videos up on the Oracle Learning Youtube channel about Ops Center's provisioning capabilities. Simon Hayler does a walkthrough of a couple of different procedures. The first video shows you how to provision Oracle Solaris zones. It explains how to create an Oracle Solaris Zone profile, and then how to apply it (using a deployment plan) to a target system. The second video shows you how to provision an x86 server with Oracle Solaris. This uses a very similar process - you create a OS provisioning profile, then use a deployment plan to apply it to the target hardware. The documentation goes over OS provisioning and zone creation in the Feature Guide, if you're looking for additional information.

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  • ServerWatch Interview with Wim Coekaerts

    - by Lenz Grimmer
    ServerWatch just published an insightful interview with Wim Coekaerts, Senior Vice President of Linux and Virtualization Engineering at Oracle. It also includes a short video clip of the interview, in which Wim shares some more thoughts about Oracle Linux, Solaris and related technologies and how they are developed at Oracle. If you would like to learn more about our motivation and strategy around Linux and Solaris, this one is a must-read! "The Solaris team is hiring more people, and I'm hiring more people," Coekaerts said. "We're making both better and we're not favoring one over the other."

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  • Multiple Denial of Service vulnerabilities in libpng

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2007-5266 Denial of Service (DoS) vulnerability 4.3 PNG reference library (libpng) Solaris 10 SPARC: 137080-03 X86: 137081-03 Solaris 9 SPARC: 139382-02 114822-06 X86: 139383-02 Solaris 8 SPARC: 114816-04 X86: 114817-04 CVE-2007-5267 Denial of Service (DoS) vulnerability 4.3 CVE-2007-5268 Denial of Service (DoS) vulnerability 4.3 CVE-2007-5269 Denial of Service (DoS) vulnerability 5.0 CVE-2008-1382 Denial of Service (DoS) vulnerability 7.5 CVE-2008-3964 Denial of Service (DoS) vulnerability 4.3 CVE-2009-0040 Denial of Service (DoS) vulnerability 6.8 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

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  • 25. Treffen der FraOSUG am 18. September 2012

    - by uligraef
    Zum 25. Treffen der FraOSUG (Frankfurter Open Solaris / Solaris / Oracle Solaris Users Group) treffen wir uns erstmals in den Räumlichkeiten der Geschäftstelle in Dreieich. Wann? 18. September 2012, 18:00 - 21:00 Uhr Wo? Oracle, Geschäftsstelle Frankfurt, Robert Bosch Str. 5, 63303 Dreieich Agenda: Begrüßung Optimale Datenkompression kleiner Datenmengen mit Suffix Arrays Nachdem neulich Interesse bekundet wurde wird hier der Vortrag vom mrmcd12 wiederholt.(Ulrich Gräf) Roundtable: ZFS Performance -- Die Diskussion zum Vortrag vom letzten Mal (Alle) Diskussion(alle)  Anmeldung bitte mit Doodle . Mehr siehe auf der FraOSUG Homepage.

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  • Setting Up and Managing Local IPS Repositories

    - by user12244672
    My colleague, Albert White, has published a useful article detailing how to set up local IPS repositories for use within an enterprise: How to Create Multiple Internal Repositories for Oracle Solaris 11 This is useful as most servers will not be directly connected to the Internet and most customers will want to control which Oracle Solaris SRUs (Support Repository Updates) are "qualified" for deployment within their organization.  Setting up and managing Internal IPS (Image Packaging System) Repositories is the way to do this. The concept can naturally be extended and adapted.  For example, Albert talks about a "Development" Repo containing the latest Oracle Solaris 11 deliverables.  When qualifying a software level for deployment across the enterprise, a copy of a specific level could be taken, e.g. "GoldenImage2012Q3" or "SRU8.5", and once it passes testing, be used to deploy across the enterprise. Best Wishes, Gerry.

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  • eSTEP TechCast - December 2012

    - by Cinzia Mascanzoni
    Join our next eSTEP TechCast will be on Thursday, 06. December 2012, 11:00 - 12:00 GMT (12:00 - 13:00 CET; 15:00 - 16:00 GST) Title: Innovations with Oracle Solaris Cluster 4 In this webcast we will focus at the integration of the cluster software with the IPS packaging system of Solaris 11, which makes installing and updating the software much easier and much more reliable, especially with virtualization technologies involved. Our webcast will also reflect new versions of Oracle Solaris Cluster if they will be announced in the meantime.Call Info: Call-in-toll-free number: 08006948154 (United Kingdom) Call-in-toll-free number: +44-2081181001 (United Kingdom) Show global numbers Conference Code: 803 594 3 Security Passcode: 9876 Webex Info (Oracle Web Conference) Meeting Number: 255 760 510 Meeting Password: tech2011 Playback / Recording / Archive: The webcasts will be recorded and will be available shortly after the event in the eSTEP portal under the Events tab, where you could find also material from already delivered eSTEP TechCasts. Use your email-adress and PIN: eSTEP_2011 to get access. 

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  • Introducing the Hardware Sales Consultant (Presales) Team in Greece

    - by fboufis
    Hello World and welcome to the blog of the Oracle Hardware Presales Team in Athens.The team is responsible for a cluster of six (6) countries which includes Greece, Cyprus, Malta, The Former Yugoslav Republic of Macedonia, Albania and Kosovo.We handle the complete hardware & systems software portfolio, namely: Engineered Systems: Purpose-build and General-purpose solutions Servers: SPARC (M & T-Series) & x86 (X-Series) servers Operating Systems: Oracle Solaris & Oracle Linux Virtualization Technologies: Oracle VM, Solaris Zones & Dynamic Domains Storage: NAS (ZFSSA), SAN (Axiom) & Tape (StorageTek) Systems Software: High Availability (Solaris Cluster) & Systems Management (Ops Center) and a multitude of other products, all of which will be the main topic of our blog. We design and propose solutions based on these products and assist both customers and partners in integrating those solutions in existing datacenters.We will be happy to support you in your projects, provide information and discuss your business issues, so do not hesitate to contact us.Filippos Boufis – Oracle Hardware Principal Sales Consultant

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  • nicstat update - version 1.92

    - by user12608033
    Another minor nicstat release is now available. Changes for Version 1.92, October 2012 Common Added "-M" option to change throughput statistics to Mbps (Megabits per second). Suggestion from Darren Todd. Fixed bugs with printing extended parseable format (-xp) Fixed man page's description of extended parseable output. Solaris Fixed memory leak associated with g_getif_list Add 2nd argument to dladm_open() for Solaris 11.1 Modify nicstat.sh to handle Solaris 11.1 Linux Modify nicstat.sh to see "x86_64" cputype as "i386". All Linux binaries are built as 32-bit, so we do not need to differentiate these two cpu types. Availability nicstat source and binaries are available from sourceforge. History For more history on nicstat, see my earlier entry

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  • Fusion Middleware 11gR1 : 7??????

    - by Hiro
    2011?7? (2011/07/12 ??)?Fusion Middleware 11gR1 ?????????????? ?????????????3??????? 1. Oracle iPlanet Web ServerOracle iPlanet Web Server (?? Sun Java System Web Server)????????? 7.0.11 ????????????????????????????????? Platforms: AIX, Linux x86, Linux x86-64, Solaris (SPARC), Solaris x86, Windows (32-bit), Windows x64 2. Oracle TuxedoOracle Service Architecture Leveraging Tuxedo (SALT) ????????? (11.1.1.2.2.) ??????????????????????????Linux x86, Linux x86-64, Solaris (SPARC) ??????Windows x64 ???????????????????Oracle Tuxedo 11gR1 (11.1.1.2.0) for Microsoft Windows 7 with VS2008 (64-bit)?????????? 3. Fusion Middleware 11g (11.1.1.5.0)11.1.1.5.0 ????????????????????????????? ???????????????

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  • Creating packages in code - Package Configurations

    Continuing my theme of building various types of packages in code, this example shows how to building a package with package configurations. Incidentally it shows you how to add a variable, and a connection too. It covers the five most common configurations: Configuration File Indirect Configuration File SQL Server Indirect SQL Server Environment Variable  For a general overview try the SQL Server Books Online Package Configurations topic. The sample uses a a simple helper function ApplyConfig to create or update a configuration, although in the example we will only ever create. The most useful knowledge is the configuration string (Configuration.ConfigurationString) that you need to set. Configuration Type Configuration String Description Configuration File The full path and file name of an XML configuration file. The file can contain one or more configuration and includes the target path and new value to set. Indirect Configuration File An environment variable the value of which contains full path and file name of an XML configuration file as per the Configuration File type described above. SQL Server A three part configuration string, with each part being quote delimited and separated by a semi-colon. -- The first part is the connection manager name. The connection tells you which server and database to look for the configuration table. -- The second part is the name of the configuration table. The table is of a standard format, use the Package Configuration Wizard to help create an example, or see the sample script files below. The table contains one or more rows or configuration items each with a target path and new value. -- The third and final part is the optional filter name. A configuration table can contain multiple configurations, and the filter is  literal value that can be used to group items together and act as a filter clause when configurations are being read. If you do not need a filter, just leave the value empty. Indirect SQL Server An environment variable the value of which is the three part configuration string as per the SQL Server type described above. Environment Variable An environment variable the value of which is the value to set in the package. This is slightly different to the other examples as the configuration definition in the package also includes the target information. In our ApplyConfig function this is the only example that actually supplies a target value for the Configuration.PackagePath property. The path is an XPath style path for the target property, \Package.Variables[User::Variable].Properties[Value], the equivalent of which can be seen in the screenshot below, with the object being our variable called Variable, and the property to set is the Value property of that variable object. The configurations as seen when opening the generated package in BIDS: The sample code creates the package, adds a variable and connection manager, enables configurations, and then adds our example configurations. The package is then saved to disk, useful for checking the package and testing, before finally executing, just to prove it is valid. There are some external resources used here, namely some environment variables and a table, see below for more details. namespace Konesans.Dts.Samples { using System; using Microsoft.SqlServer.Dts.Runtime; public class PackageConfigurations { public void CreatePackage() { // Create a new package Package package = new Package(); package.Name = "ConfigurationSample"; // Add a variable, the target for our configurations package.Variables.Add("Variable", false, "User", 0); // Add a connection, for SQL configurations // Add the SQL OLE-DB connection ConnectionManager connectionManagerOleDb = package.Connections.Add("OLEDB"); connectionManagerOleDb.Name = "SQLConnection"; connectionManagerOleDb.ConnectionString = "Provider=SQLOLEDB.1;Data Source=(local);Initial Catalog=master;Integrated Security=SSPI;"; // Add our example configurations, first must enable package setting package.EnableConfigurations = true; // Direct configuration file, see sample file this.ApplyConfig(package, "Configuration File", DTSConfigurationType.ConfigFile, "C:\\Temp\\XmlConfig.dtsConfig", string.Empty); // Indirect configuration file, the emvironment variable XmlConfigFileEnvironmentVariable // contains the path to the configuration file, e.g. C:\Temp\XmlConfig.dtsConfig this.ApplyConfig(package, "Indirect Configuration File", DTSConfigurationType.IConfigFile, "XmlConfigFileEnvironmentVariable", string.Empty); // Direct SQL Server configuration, uses the SQLConnection package connection to read // configurations from the [dbo].[SSIS Configurations] table, with a filter of "SampleFilter" this.ApplyConfig(package, "SQL Server", DTSConfigurationType.SqlServer, "\"SQLConnection\";\"[dbo].[SSIS Configurations]\";\"SampleFilter\";", string.Empty); // Indirect SQL Server configuration, the environment variable "SQLServerEnvironmentVariable" // contains the configuration string e.g. "SQLConnection";"[dbo].[SSIS Configurations]";"SampleFilter"; this.ApplyConfig(package, "Indirect SQL Server", DTSConfigurationType.ISqlServer, "SQLServerEnvironmentVariable", string.Empty); // Direct environment variable, the value of the EnvironmentVariable environment variable is // applied to the target property, the value of the "User::Variable" package variable this.ApplyConfig(package, "EnvironmentVariable", DTSConfigurationType.EnvVariable, "EnvironmentVariable", "\\Package.Variables[User::Variable].Properties[Value]"); #if DEBUG // Save package to disk, DEBUG only new Application().SaveToXml(String.Format(@"C:\Temp\{0}.dtsx", package.Name), package, null); Console.WriteLine(@"C:\Temp\{0}.dtsx", package.Name); #endif // Execute package package.Execute(); // Basic check for warnings foreach (DtsWarning warning in package.Warnings) { Console.WriteLine("WarningCode : {0}", warning.WarningCode); Console.WriteLine(" SubComponent : {0}", warning.SubComponent); Console.WriteLine(" Description : {0}", warning.Description); Console.WriteLine(); } // Basic check for errors foreach (DtsError error in package.Errors) { Console.WriteLine("ErrorCode : {0}", error.ErrorCode); Console.WriteLine(" SubComponent : {0}", error.SubComponent); Console.WriteLine(" Description : {0}", error.Description); Console.WriteLine(); } package.Dispose(); } /// <summary> /// Add or update an package configuration. /// </summary> /// <param name="package">The package.</param> /// <param name="name">The configuration name.</param> /// <param name="type">The type of configuration</param> /// <param name="setting">The configuration setting.</param> /// <param name="target">The target of the configuration, leave blank if not required.</param> internal void ApplyConfig(Package package, string name, DTSConfigurationType type, string setting, string target) { Configurations configurations = package.Configurations; Configuration configuration; if (configurations.Contains(name)) { configuration = configurations[name]; } else { configuration = configurations.Add(); } configuration.Name = name; configuration.ConfigurationType = type; configuration.ConfigurationString = setting; configuration.PackagePath = target; } } } The following table lists the environment variables required for the full example to work along with some sample values. Variable Sample value EnvironmentVariable 1 SQLServerEnvironmentVariable "SQLConnection";"[dbo].[SSIS Configurations]";"SampleFilter"; XmlConfigFileEnvironmentVariable C:\Temp\XmlConfig.dtsConfig Sample code, package and configuration file. ConfigurationApplication.cs ConfigurationSample.dtsx XmlConfig.dtsConfig

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  • Automating deployments with the SQL Compare command line

    - by Jonathan Hickford
    In my previous article, “Five Tips to Get Your Organisation Releasing Software Frequently” I looked at how teams can automate processes to speed up release frequency. In this post, I’m looking specifically at automating deployments using the SQL Compare command line. SQL Compare compares SQL Server schemas and deploys the differences. It works very effectively in scenarios where only one deployment target is required – source and target databases are specified, compared, and a change script is automatically generated and applied. But if multiple targets exist, and pressure to increase the frequency of releases builds, this solution quickly becomes unwieldy.   This is where SQL Compare’s command line comes into its own. I’ve put together a PowerShell script that loops through the Servers table and pulls out the server and database, these are then passed to sqlcompare.exe to be used as target parameters. In the example the source database is a scripts folder, a folder structure of scripted-out database objects used by both SQL Source Control and SQL Compare. The script can easily be adapted to use schema snapshots.     -- Create a DeploymentTargets database and a Servers table CREATE DATABASE DeploymentTargets GO USE DeploymentTargets GO CREATE TABLE [dbo].[Servers]( [id] [int] IDENTITY(1,1) NOT NULL, [serverName] [nvarchar](50) NULL, [environment] [nvarchar](50) NULL, [databaseName] [nvarchar](50) NULL, CONSTRAINT [PK_Servers] PRIMARY KEY CLUSTERED ([id] ASC) ) GO -- Now insert your target server and database details INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment1' , N'mydb1') INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment2' , N'mydb2') Here’s the PowerShell script you can adapt for yourself as well. # We're holding the server names and database names that we want to deploy to in a database table. # We need to connect to that server to read these details $serverName = "" $databaseName = "DeploymentTargets" $authentication = "Integrated Security=SSPI" #$authentication = "User Id=xxx;PWD=xxx" # If you are using database authentication instead of Windows authentication. # Path to the scripts folder we want to deploy to the databases $scriptsPath = "SimpleTalk" # Path to SQLCompare.exe $SQLComparePath = "C:\Program Files (x86)\Red Gate\SQL Compare 10\sqlcompare.exe" # Create SQL connection string, and connection $ServerConnectionString = "Data Source=$serverName;Initial Catalog=$databaseName;$authentication" $ServerConnection = new-object system.data.SqlClient.SqlConnection($ServerConnectionString); # Create a Dataset to hold the DataTable $dataSet = new-object "System.Data.DataSet" "ServerList" # Create a query $query = "SET NOCOUNT ON;" $query += "SELECT serverName, environment, databaseName " $query += "FROM dbo.Servers; " # Create a DataAdapter to populate the DataSet with the results $dataAdapter = new-object "System.Data.SqlClient.SqlDataAdapter" ($query, $ServerConnection) $dataAdapter.Fill($dataSet) | Out-Null # Close the connection $ServerConnection.Close() # Populate the DataTable $dataTable = new-object "System.Data.DataTable" "Servers" $dataTable = $dataSet.Tables[0] #For every row in the DataTable $dataTable | FOREACH-OBJECT { "Server Name: $($_.serverName)" "Database Name: $($_.databaseName)" "Environment: $($_.environment)" # Compare the scripts folder to the database and synchronize the database to match # NB. Have set SQL Compare to abort on medium level warnings. $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/AbortOnWarnings:Medium") # + @("/sync" ) # Commented out the 'sync' parameter for safety, write-host $arguments & $SQLComparePath $arguments "Exit Code: $LASTEXITCODE" # Some interesting variations # Check that every database matches a folder. # For example this might be a pre-deployment step to validate everything is at the same baseline state. # Or a post deployment script to validate the deployment worked. # An exit code of 0 means the databases are identical. # # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") # Generate a report of the difference between the folder and each database. Generate a SQL update script for each database. # For example use this after the above to generate upgrade scripts for each database # Examine the warnings and the HTML diff report to understand how the script will change objects # #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") } It’s worth noting that the above example generates the deployment scripts dynamically. This approach should be problem-free for the vast majority of changes, but it is still good practice to review and test a pre-generated deployment script prior to deployment. An alternative approach would be to pre-generate a single deployment script using SQL Compare, and run this en masse to multiple targets programmatically using sqlcmd, or using a tool like SQL Multi Script.  You can use the /ScriptFile, /report, and /showWarnings flags to generate change scripts, difference reports and any warnings.  See the commented out example in the PowerShell: #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") There is a drawback of running a pre-generated deployment script; it assumes that a given database target hasn’t drifted from its expected state. Often there are (rightly or wrongly) many individuals within an organization who have permissions to alter the production database, and changes can therefore be made outside of the prescribed development processes. The consequence is that at deployment time, the applied script has been validated against a target that no longer represents reality. The solution here would be to add a check for drift prior to running the deployment script. This is achieved by using sqlcompare.exe to compare the target against the expected schema snapshot using the /Assertidentical flag. Should this return any differences (sqlcompare.exe Exit Code 79), a drift report is outputted instead of executing the deployment script.  See the commented out example. # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") Any checks and processes that should be undertaken prior to a manual deployment, should also be happen during an automated deployment. You might think about triggering backups prior to deployment – even better, automate the verification of the backup too.   You can use SQL Compare’s command line interface along with PowerShell to automate multiple actions and checks that you need in your deployment process. Automation is a practical solution where multiple targets and a higher release cadence come into play. As we know, with great power comes great responsibility – responsibility to ensure that the necessary checks are made so deployments remain trouble-free.  (The code sample supplied in this post automates the simple dynamic deployment case – if you are considering more advanced automation, e.g. the drift checks, script generation, deploying to large numbers of targets and backup/verification, please email me at [email protected] for further script samples or if you have further questions)

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  • Unleash the Power of Cryptography on SPARC T4

    - by B.Koch
    by Rob Ludeman Oracle’s SPARC T4 systems are architected to deliver enhanced value for customer via the inclusion of many integrated features.  One of the best examples of this approach is demonstrated in the on-chip cryptographic support that delivers wire speed encryption capabilities without any impact to application performance.  The Evolution of SPARC Encryption SPARC T-Series systems have a long history of providing this capability, dating back to the release of the first T2000 systems that featured support for on-chip RSA encryption directly in the UltraSPARC T1 processor.  Successive generations have built on this approach by support for additional encryption ciphers that are tightly coupled with the Oracle Solaris 10 and Solaris 11 encryption framework.  While earlier versions of this technology were implemented using co-processors, the SPARC T4 was redesigned with new crypto instructions to eliminate some of the performance overhead associated with the former approach, resulting in much higher performance for encrypted workloads. The Superiority of the SPARC T4 Approach to Crypto As companies continue to engage in more and more e-commerce, the need to provide greater degrees of security for these transactions is more critical than ever before.  Traditional methods of securing data in transit by applications have a number of drawbacks that are addressed by the SPARC T4 cryptographic approach. 1. Performance degradation – cryptography is highly compute intensive and therefore, there is a significant cost when using other architectures without embedded crypto functionality.  This performance penalty impacts the entire system, slowing down performance of web servers (SSL), for example, and potentially bogging down the speed of other business applications.  The SPARC T4 processor enables customers to deliver high levels of security to internal and external customers while not incurring an impact to overall SLAs in their IT environment. 2. Added cost – one of the methods to avoid performance degradation is the addition of add-in cryptographic accelerator cards or external offload engines in other systems.  While these solutions provide a brute force mechanism to avoid the problem of slower system performance, it usually comes at an added cost.  Customers looking to encrypt datacenter traffic without the overhead and expenditure of extra hardware can rely on SPARC T4 systems to deliver the performance necessary without the need to purchase other hardware or add-on cards. 3. Higher complexity – the addition of cryptographic cards or leveraging load balancers to perform encryption tasks results in added complexity from a management standpoint.  With SPARC T4, encryption keys and the framework built into Solaris 10 and 11 means that administrators generally don’t need to spend extra cycles determining how to perform cryptographic functions.  In fact, many of the instructions are built-in and require no user intervention to be utilized.  For example, For OpenSSL on Solaris 11, SPARC T4 crypto is available directly with a new built-in OpenSSL 1.0 engine, called the "t4 engine."  For a deeper technical dive into the new instructions included in SPARC T4, consult Dan Anderson’s blog. Conclusion In summary, SPARC T4 systems offer customers much more value for applications than just increased performance. The integration of key virtualization technologies, embedded encryption, and a true Enterprise Operating System, Oracle Solaris, provides direct business benefits that supersedes the commodity approach to data center computing.   SPARC T4 removes the roadblocks to secure computing by offering integrated crypto accelerators that can save IT organizations in operating cost while delivering higher levels of performance and meeting objectives around compliance. For more on the SPARC T4 family of products, go to here.

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  • Do your filesystems have un-owned files ?

    - by darrenm
    As part of our work for integrated compliance reporting in Solaris we plan to provide a check for determining if the system has "un-owned files", ie those which are owned by a uid that does not exist in our configured nameservice.  Tests such as this already exist in the Solaris CIS Benchmark (9.24 Find Un-owned Files and Directories) and other security benchmarks. The obvious method of doing this would be using find(1) with the -nouser flag.  However that requires we bring into memory the metadata for every single file and directory in every local file system we have mounted.  That is probaby not an acceptable thing to do on a production system that has a large amount of storage and it is potentially going to take a long time. Just as I went to bed last night an idea for a much faster way of listing file systems that have un-owned files came to me. I've now implemented it and I'm happy to report it works very well and peforms many orders of magnatude better than using find(1) ever will.   ZFS (since pool version 15) has per user space accounting and quotas.  We can report very quickly and without actually reading any files at all how much space any given user id is using on a ZFS filesystem.  Using that information we can implement a check to very quickly list which filesystems contain un-owned files. First a few caveats because the output data won't be exactly the same as what you get with find but it answers the same basic question.  This only works for ZFS and it will only tell you which filesystems have files owned by unknown users not the actual files.  If you really want to know what the files are (ie to give them an owner) you still have to run find(1).  However it has the huge advantage that it doesn't use find(1) so it won't be dragging the metadata for every single file and directory on the system into memory. It also has the advantage that it can check filesystems that are not mounted currently (which find(1) can't do). It ran in about 4 seconds on a system with 300 ZFS datasets from 2 pools totalling about 3.2T of allocated space, and that includes the uid lookups and output. #!/bin/sh for fs in $(zfs list -H -o name -t filesystem -r rpool) ; do unknowns="" for uid in $(zfs userspace -Hipn -o name,used $fs | cut -f1); do if [ -z "$(getent passwd $uid)" ]; then unknowns="$unknowns$uid " fi done if [ ! -z "$unknowns" ]; then mountpoint=$(zfs list -H -o mountpoint $fs) mounted=$(zfs list -H -o mounted $fs) echo "ZFS File system $fs mounted ($mounted) on $mountpoint \c" echo "has files owned by unknown user ids: $unknowns"; fi done Sample output: ZFS File system rpool/ROOT/solaris-30/var mounted (no) on /var has files owned by unknown user ids: 6435 33667 101 ZFS File system rpool/ROOT/solaris-32/var mounted (yes) on /var has files owned by unknown user ids: 6435 33667ZFS File system builds/bob mounted (yes) on /builds/bob has files owned by unknown user ids: 101 Note that the above might not actually appear exactly like that in any future Solaris product or feature, it is provided just as an example of what you can do with ZFS user space accounting to answer questions like the above.

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  • World Record Siebel PSPP Benchmark on SPARC T4 Servers

    - by Brian
    Oracle's SPARC T4 servers set a new World Record for Oracle's Siebel Platform Sizing and Performance Program (PSPP) benchmark suite. The result used Oracle's Siebel Customer Relationship Management (CRM) Industry Applications Release 8.1.1.4 and Oracle Database 11g Release 2 running Oracle Solaris on three SPARC T4-2 and two SPARC T4-1 servers. The SPARC T4 servers running the Siebel PSPP 8.1.1.4 workload which includes Siebel Call Center and Order Management System demonstrates impressive throughput performance of the SPARC T4 processor by achieving 29,000 users. This is the first Siebel PSPP 8.1.1.4 benchmark supporting 29,000 concurrent users with a rate of 239,748 Business Transactions/hour. The benchmark demonstrates vertical and horizontal scalability of Siebel CRM Release 8.1.1.4 on SPARC T4 servers. Performance Landscape Systems Txn/hr Users Call Center Order Management Response Times (sec) 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – Web 3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) – App/Gateway 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – DB 239,748 29,000 0.165 0.925 Oracle: Call Center + Order Management Transactions: 197,128 + 42,620 Users: 20300 + 8700 Configuration Summary Web Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 10 8/11 iPlanet Web Server 7 Application Server Configuration: 3 x SPARC T4-2 servers, each with 2 x SPARC T4 processor, 2.85 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 10 8/11 Siebel CRM 8.1.1.5 SIA Database Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.2) Storage Configuration: 1 x Sun Storage F5100 Flash Array 80 x 24 GB flash modules Benchmark Description Siebel 8.1 PSPP benchmark includes Call Center and Order Management: Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling. High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request . Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively. Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process. High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively. Key Points and Best Practices No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects. See Also Siebel White Papers SPARC T4-1 Server oracle.com OTN SPARC T4-2 Server oracle.com OTN Siebel CRM oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition 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 30 September 2012.

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  • Oracle/Sun ?????? - SPARC SuperCluster T4-4

    - by user12798668
    SPARC SuperCluster T4-4 ?????????? SPARC SuperCluster ? 2010?12?????·???????????????????? 2011 ? 9 ?? SPARC T4 ???????????? SPARC SuperCluster T4-4 ????????????????SPARC SuperCluster ??????????·??????????????????????????? SPARC T4 CPU ? 4 ????? SPARC T4-4 ??????????????????????·????????????????????? Exadata ????????????? Oracle Exadata Storage Server ????????????? Java ????????? Exalogic ????????????? Exalogic Software ???????????????????????? Solaris 10 ??? 11 ??????????????????????? SPARC SuperCluster ? ???????????????????? ???????????????????????SPARC SuperCluster ? Oracle/Sun ???????????????????????????????????? SPARC SuperCluster ??????????? 2(Half Rack ?) or 4(Full Rack ?) x SPARC T4-4 ???? 3 (Half Rack ?) or 6 (Full Rack ?) x Exadata Storage Server X2-2 1 x ZFS Storage Appliance 7320 ?????? 3 x Sun DataCenter InfiniBand Switch 36 1 x Ethernet Management Switch 42U Rack (2 x PDU) SPARC SuperCluster ????????????? OS: Oracle Solaris 11 ??? 10 ???: Oracle VM Server for SPARC ??? Oracle Solaris Zones ??: Oracle Enterprise Manager Ops Center ??? Grid Control ???????: Oracle Solaris Cluster ??? Oracle Clusterware ??????: Oracle ?????? 11g R2 (11.2.0.3) ???????????? ??????: Exalogic Software ???? Oracle WebLogic Server, Coherence ????????: Oracle Solaris 11 ??? 10 ????????? Oracle ???? ISV????????????? SPARC SuperCluster ???????·??????????????????????? ???????????????????????????????????????? ??????????????????????????????????????????? ??????????????????????????????????????? ???????????????????? SPARC SuperCluster ??????????????????????????????? ??????????? SuperCluster ?????????????Oracle OpenWorld Tokyo 2012 ????????????????????! 4 ? 5 ?????????????????????????????? Oracle OpenWorld Tokyo 2012 ??????????? SPARC SuperCluster ???????????????? ????????????????? 4/5(?) ????????? G2-01 ?SPARC SuperCluster ????????????????? Ops Center ????????????????(11:50 - 13:20) 4/5(?) S2-42 ???UNIX?????????? - SPARC SuperCluster? (16:30 - 17:15) 4/5(?) S2-53 ?Oracle E-Business Suite?????????????????? ??/??????????????????????”SPARC SuperCluster”?(17:40 - 18:25) ???????????!! Oracle OpenWorld Tokyo 2012 ???? URL http://www.oracle.com/openworld/jp-ja/index.html ?????? 7264 ???????????????

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  • How do I work around this problem creating a virtualenv environment with a custom-build Python?

    - by Daryl Spitzer
    I need to run some code on a Linux machine with Python 2.3.4 pre-installed. I'm not on the sudoers list for that machine, so I built Python 2.6.4 into (a subdirectory in) my home directory. Then I attempted to use virtualenv (for the first time), but got: $ Python-2.6.4/python virtualenv/virtualenv.py ENV New python executable in ENV/bin/python Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Installing setuptools......... Complete output from command /apps/users/dspitzer/ENV/bin/python -c "#!python \"\"\"Bootstrap setuptoo... " /apps/users/dspitzer/virtualen...6.egg: Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] 'import site' failed; use -v for traceback Traceback (most recent call last): File "<string>", line 67, in <module> ImportError: No module named md5 ---------------------------------------- ...Installing setuptools...done. Traceback (most recent call last): File "virtualenv/virtualenv.py", line 1488, in <module> main() File "virtualenv/virtualenv.py", line 529, in main use_distribute=options.use_distribute) File "virtualenv/virtualenv.py", line 619, in create_environment install_setuptools(py_executable, unzip=unzip_setuptools) File "virtualenv/virtualenv.py", line 361, in install_setuptools _install_req(py_executable, unzip) File "virtualenv/virtualenv.py", line 337, in _install_req cwd=cwd) File "virtualenv/virtualenv.py", line 590, in call_subprocess % (cmd_desc, proc.returncode)) OSError: Command /apps/users/dspitzer/ENV/bin/python -c "#!python \"\"\"Bootstrap setuptoo... " /apps/users/dspitzer/virtualen...6.egg failed with error code 1 Should I be setting PYTHONHOME to some value? (I intentionally named my ENV "ENV" for lack of a better name.) Not knowing if I can ignore those errors, I tried installing nose (0.11.1) into my ENV: $ cd nose-0.11.1/ $ ls AUTHORS doc/ lgpl.txt nose.egg-info/ selftest.py* bin/ examples/ MANIFEST.in nosetests.1 setup.cfg build/ functional_tests/ NEWS PKG-INFO setup.py CHANGELOG install-rpm.sh* nose/ README.txt unit_tests/ $ ~/ENV/bin/python setup.py install Could not find platform dependent libraries <exec_prefix> Consider setting $PYTHONHOME to <prefix>[:<exec_prefix>] Traceback (most recent call last): File "setup.py", line 1, in <module> from nose import __version__ as VERSION File "/apps/users/dspitzer/nose-0.11.1/nose/__init__.py", line 1, in <module> from nose.core import collector, main, run, run_exit, runmodule File "/apps/users/dspitzer/nose-0.11.1/nose/core.py", line 3, in <module> from __future__ import generators ImportError: No module named __future__ Any advice?

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  • How can I use fossil (DVCS) in a home environment?

    - by Mosh
    I'm trying fossil as my new VCS, since I'm a lone developer working on small projects. I started testing fossil but I encountered a (probably major newbie) problem. How does one push or pull to another directory (which is easy on Hg). Fossil pull or push commands expect a URL and not a directory. When I start a server in one directory and try to push from another directory I get the "server loop" error message. Any ideas?

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  • In a distributed environment, how can I configure log4j to log to different files for each JVM insta

    - by Renan Mozone
    My application runs on IBM WebSphere 6.1 Network Deployment. The application have several JSP files and Java classes. Today each host have only one JVM instance but my intention is to start another instance on each host. How can I configure log4j to log to different files for each JVM instance in the same host? I thought of using variable substitution on log4j XML configuration file but it only works with system properties. So, it is safe and recommended to set a custom system property just to store the JVM name? Anyone knows another strategy to achieve this in a 'elegant' way?

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  • Custom ASP.NET MVC cache controllers in a shared hosting environment?

    - by Daniel Crenna
    I'm using custom controllers that cache static resources (CSS, JS, etc.) and images. I'm currently working with a hosting provider that has set me up under a full trust profile. Despite being in full trust, my controllers fail because the caching strategy relies on the File class to directly open a resource file prior to treatment and storage in memory. Is this something that would likely occur in all full trust shared hosting environments or is this specific to my host? The static files live within my application's structure and not in an arbitrary server path. It seems to me that custom caching would require code to access the file directly, and am hoping someone else has dealt with this issue.

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  • How to set SQL_BIG_SELECTS = 1 from VB(legacy ASP) with ADODB environment?

    - by conecon
    I encountered The SELECT would examine more than MAX_JOIN_SIZE rows; check your WHERE and use SET SQL_BIG_SELECTS=1 or SET SQL_MAX_JOIN_SIZE=# if the SELECT is okay error with my ASP code. ASP code has server side ADODB connection with MySQL and connection seems not be able to execute multiple query. How to implement SQL_BIG_SELECTS = 1 in my code? Set obj_db = Server.CreateObject("ADODB.Connection") Session("ConnectionString") = "dsn=dsn1016189_mysql;uid=apns;pwd=mypassword;DATABASE=mydb;APP=ASP Script;STMT=SET CHARACTER SET SJIS" obj_db.Open Session("ConnectionString") Set obj_ret = Server.CreateObject("ADODB.Recordset") obj_ret.CursorLocation = 3 and executing SQL... SQL_BIG_SELECTS = 1; SELECT pu.login_id, pu.p_login_id, pu.first_name, pu.last_name, pu.sex, pu.is_admin, pu.attendance, pu.invited, pu.reason, qaa1.answer AS qaa1_answer, COUNT(pu2.p_login_id) AS companion FROM party_user pu LEFT OUTER JOIN party_user pu2 ON pu2.p_login_id = pu.login_id LEFT OUTER JOIN qa_answer qaa1 ON qaa1.login_id = pu.login_id AND qaa1.party_id = pu.party_id AND qaa1.sort_num = '1' WHERE pu.party_id = '92' AND pu.p_login_id = '' GROUP BY pu.login_id, pu.p_login_id, pu.first_name, pu.last_name, pu.sex, pu.is_admin, pu.attendance, pu.reason, qaa1.answer, pu.invited ORDER BY pu.login_id ASC; I can't execute multiple query and above query become error. You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'SELECT pu.login_id, pu.p_login_id, pu.first_name, pu.last_name, pu.sex, pu.is_ad' at line 1

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  • Can I install WhizzyTeX for Emacs on a Mac (is Mac OS X a unix environment)?

    - by Vivi
    I think my question is pretty stupid, but here it goes: I am using Aquamacs, and I want to install the WhizzyTeX mode. The website for WhizzyTeX says that "it is designed for Unix platforms". I read that Mac OS X is unix certified, but does that mean I can install WhizzyTeX on my mac? If yes, can I install and use it with Aquamacs or do I have to use the Emacs running from the terminal? PS: I don't know whether this question should be posted here or on SuperUser, but as Emacs users seem to hang out here more often, this is the place I chose. EDIT: There are some websites saying I can use WhizzyTeX with Carbon Emacs on mac os x, but some places say I cannot (see for example this pdf document, page 27, which says that "* whizzytex: http://cristal.inria.fr/whizzytex/ mode in latex with ocaml good fo linux, should also work in cygwin, doe not work on osx"). So I am really confused...

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  • Pros/Cons of MySQL vs Postgresql for production Ruby on Rails environment?

    - by cakeforcerberus
    I will soon be switching from sqlite3 to either postgres or mysql. What should I consider when making this decision? Is mysql more suited for Rails than postgres in some areas and/or vice versa? Or, as I somewhat suspect, does it not really matter either way? Another factor that might play into my decision is the availability of tools to data pump my test data from the sqlite3 db to my new one. Is there anything that ActiveRecord provides natively to do this or any decent plugins/gems to help with this task? BONUS: How do I pronounce "Postgresql" and sound like I know what I'm talking about? :) Thanks Greg Smith for providing the following link that shows the most common pronunciations: http://www.postgresql.org/community/survey.33 UPDATE: Reference this question for more: http://stackoverflow.com/questions/110927/do-you-recommend-postgresql-over-mysql FYI: I ended up using MySQL. There is a neat plugin called yamldb that really saved me some time with the data transfer from my sqlite db to my new mysql one. Instructions on how to install and use it can be found here: http://accidentaltechnologist.com/ruby/change-databases-in-rails-with-yamldb/ Thanks Tom

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