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• Automate Windows 7's file sharing and firewall settings

  - by nhinkle

  I am working with my school to customize Windows 7 on some new laptops we are receiving. The laptops come with Windows 7 Professional already installed, and we do not need or want to reimage them. We would however like to customize the installation once it is in place, through a series of scripts. We will also be deploying these scripts to computers which have already been set up. Most of the settings we wish to change can be done easily from the command line or with a registry file. However, there is one thing we keep getting hung up on: networking options. Is there any unattended way to set the Windows 7 networking configuration? We would like to set the following things automatically, which are found under Control Panel > Network and Sharing Center > Advanced sharing settings > Home or Work network: Turn on network discovery Turn on printer and file sharing Turn off public folder sharing Turn on password protected sharing Use user accounts and passwords to connect to other computers We also need to configure the firewall to allow the following exceptions: File and printer sharing Remote assistance Remote desktop Remote scheduled tasks management Remote service management Windows remote management I've looked around, and can't find any way to change these things - I looked into netsh, registry settings, and even used RegMon to watch while I changed the values manually, all to no avail. Google hasn't offered up anything helpful so far. If anyone could provide some insight, I would very much appreciate it. I did find out that much of this is configurable with group policy, but because these computers are in a workgroup, not a domain, I don't know of any way to take advantage of that in an unattended manner.

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• How to fix locale settings in Debian squeeze

  - by blogjunkie

  I occasionally get locale errors and I've tried to run dpkg-reconfigure locales to fix the problem. Here's the output: :~$ sudo dpkg-reconfigure locales perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LC_CTYPE = "UTF-8", LANG = "en_US.UTF-8" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory /usr/bin/locale: Cannot set LC_CTYPE to default locale: No such file or directory /usr/bin/locale: Cannot set LC_ALL to default locale: No such file or directory Generating locales (this might take a while)... en_US.UTF-8... done Generation complete. perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LC_CTYPE = "UTF-8", LANG = "C" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). perl: warning: Setting locale failed. perl: warning: Please check that your locale settings: LANGUAGE = (unset), LC_ALL = (unset), LC_CTYPE = "UTF-8", LANG = "C" are supported and installed on your system. perl: warning: Falling back to the standard locale ("C"). I looked for /usr/bin/locale but it doesn't exist on my system. Do I need to create it? What do I put in there? Also I found a related question that says the cause of his problem was in the sshd_config file. The file had the following entry: AcceptEnv LANG LC_* I'm mainly concerned that it may cause problems for my VPS, otherwise if it's nothing major I'll be happy to ignore the problem. What should I do? thanks!

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• Which DNS settings are used when setting up your server

  - by Saif Bechan

  I have a server and want to run my own name server service. Now I have set it up already and it works not, but I do not know where the exact settings are stored. On my server I use Plesk. When I edit DNS settings there I think it is stored in named.conf. Named is installed on the server, and BIND. Now I also have a panel from my registrar. This is separate from my server. Both places I can add the normal MX,A,CNAME, etc records. Now where is the best way to place this settings. Currently I have the same records on both places, on the server and at the registrar panel. I am correct to just add all the records at the registrar panel, and remove everything from within PLESK, and just don't run DNS on my server, because it is already done in the registrar panel. Or should I add the records in both places.

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• Which DNS settings are used when setting up server

  - by Saif Bechan

  I have a server and want to run my own name server service. Now I have set it up already and it works not, but I do not know where the exact settings are stored. On my server I use Plesk. When I edit DNS settings there I think it is stored in named.conf. Named is installed on the server, and BIND. Now I also have a panel from my registrar. This is separate from my server. Both places I can add the normal MX,A,CNAME, etc records. Now where is the best way to place this settings. Currently I have the same records on both places, on the server and at the registrar panel. I am correct to just add all the records at the registrar panel, and remove everything from within PLESK, and just don't run DNS on my server, because it is already done in the registrar panel. Or should I add the records in both places.

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• How To Clear An Alert - Part 2

  - by werner.de.gruyter

  There were some interesting comments and remarks on the original posting, so I decided to do a follow-up and address some of the issues that got raised... Handling Metric Errors First of all, there is a significant difference between an 'error' and an 'alert'. An 'alert' is the violation of a condition (a threshold) specified for a given metric. That means that the Agent is collecting and gathering the data for the metric, but there is a situation that requires the attention of an administrator. An 'error' on the other hand however, is a failure to collect metric data: The Agent is throwing the error because it cannot determine the value for the metric Whereas the 'alert' guarantees continuity of the metric data, an 'error' signals a big unknown. And the unknown aspect of all this is what makes an error a lot more serious than a regular alert: If you don't know what the current state of affairs is, there could be some serious issues brewing that nobody is aware of... The life-cycle of a Metric Error Clearing a metric error is pretty much the same workflow as a metric 'alert': The Agent signals the error after it failed to execute the metric The error is uploaded to the OMS/repository, where it becomes visible in the Console The error will remain active until the Agent is able to execute the metric successfully. Even though the metric is still getting scheduled and executed on a regular basis, the error will remain outstanding as long as the Agent is not capable of executing the metric correctly Knowing this, the way to fix the metric error should be obvious: Take the 'problem' away, and as soon as the metric is executed again (based on the frequency of the metric), the error will go away. The same tricks used to clear alerts can be used here too: Wait for the next scheduled execution. For those metrics that are executed regularly (like every 15 minutes or so), it's just a matter of waiting those minutes to see the updates. The 'Reevaluate Alert' button can be used to force a re-execution of the metric. In case a metric is executed once a day, this will be a better way to make sure that the underlying problem has been solved. And if it has been, the metric error will be removed, and the regular data points will be uploaded to the repository. And just in case you have to 'force' the issue a little: If you disable and re-enable a metric, it will get re-scheduled. And that means a new metric execution, and an update of the (hopefully) fixed problem. Database server-generated alerts and problem checkers There are various ways the Agent can collect metric data: Via a script or a SQL statement, reading a log file, getting a value from an SNMP OID or listening for SNMP traps or via the DBMS_SERVER_ALERTS mechanism of an Oracle database. For those alert which are generated by the database (like tablespace metrics for 10g and above databases), the Agent just 'waits' for the database to report any new findings. If the Agent has lost the current state of the server-side metrics (due to an incomplete recovery after a disaster, or after an improper use of the 'emctl clearstate' command), the Agent might be still aware of an alert that the database no longer has (or vice versa). The same goes for 'problem checker' alerts: Those metrics that only report data if there is a problem (like the 'invalid objects' metric) will also have a problem if the Agent state has been tampered with (again, the incomplete recovery, and after improper use of 'emctl clearstate' are the two main causes for this). The best way to deal with these kinds of mismatches, is to simple disable and re-enable the metric again: The disabling will clear the state of the metric, and the re-enabling will force a re-execution of the metric, so the new and updated results can get uploaded to the repository. Starting 10gR5, the Agent performs additional checks and verifications after each restart of the Agent and/or each state change of the database (shutdown/startup or failover in case of DataGuard) to catch these kinds of mismatches.

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• Avoiding new operator in JavaScript -- the better way

  - by greengit

  Warning: This is a long post. Let's keep it simple. I want to avoid having to prefix the new operator every time I call a constructor in JavaScript. This is because I tend to forget it, and my code screws up badly. The simple way around this is this... function Make(x) { if ( !(this instanceof arguments.callee) ) return new arguments.callee(x); // do your stuff... } But, I need this to accept variable no. of arguments, like this... m1 = Make(); m2 = Make(1,2,3); m3 = Make('apple', 'banana'); The first immediate solution seems to be the 'apply' method like this... function Make() { if ( !(this instanceof arguments.callee) ) return new arguments.callee.apply(null, arguments); // do your stuff } This is WRONG however -- the new object is passed to the apply method and NOT to our constructor arguments.callee. Now, I've come up with three solutions. My simple question is: which one seems best. Or, if you have a better method, tell it. First – use eval() to dynamically create JavaScript code that calls the constructor. function Make(/* ... */) { if ( !(this instanceof arguments.callee) ) { // collect all the arguments var arr = []; for ( var i = 0; arguments[i]; i++ ) arr.push( 'arguments[' + i + ']' ); // create code var code = 'new arguments.callee(' + arr.join(',') + ');'; // call it return eval( code ); } // do your stuff with variable arguments... } Second – Every object has __proto__ property which is a 'secret' link to its prototype object. Fortunately this property is writable. function Make(/* ... */) { var obj = {}; // do your stuff on 'obj' just like you'd do on 'this' // use the variable arguments here // now do the __proto__ magic // by 'mutating' obj to make it a different object obj.__proto__ = arguments.callee.prototype; // must return obj return obj; } Third – This is something similar to second solution. function Make(/* ... */) { // we'll set '_construct' outside var obj = new arguments.callee._construct(); // now do your stuff on 'obj' just like you'd do on 'this' // use the variable arguments here // you have to return obj return obj; } // now first set the _construct property to an empty function Make._construct = function() {}; // and then mutate the prototype of _construct Make._construct.prototype = Make.prototype; eval solution seems clumsy and comes with all the problems of "evil eval". __proto__ solution is non-standard and the "Great Browser of mIsERY" doesn't honor it. The third solution seems overly complicated. But with all the above three solutions, we can do something like this, that we can't otherwise... m1 = Make(); m2 = Make(1,2,3); m3 = Make('apple', 'banana'); m1 instanceof Make; // true m2 instanceof Make; // true m3 instanceof Make; // true Make.prototype.fire = function() { // ... }; m1.fire(); m2.fire(); m3.fire(); So effectively the above solutions give us "true" constructors that accept variable no. of arguments and don't require new. What's your take on this. -- UPDATE -- Some have said "just throw an error". My response is: we are doing a heavy app with 10+ constructors and I think it'd be far more wieldy if every constructor could "smartly" handle that mistake without throwing error messages on the console.

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• SQL SERVER – UNION ALL and ORDER BY – How to Order Table Separately While Using UNION ALL

  - by pinaldave

  I often see developers trying following syntax while using ORDER BY. SELECT Columns FROM TABLE1 ORDER BY Columns UNION ALL SELECT Columns FROM TABLE2 ORDER BY Columns However the above query will return following error. Msg 156, Level 15, State 1, Line 5 Incorrect syntax near the keyword ‘ORDER’. It is not possible to use two different ORDER BY in the UNION statement. UNION returns single resultsetand as per the Logical Query Processing Phases. However, if your requirement is such that you want your top and bottom query of the UNION resultset independently sorted but in the same resultset you can add an additional static column and order by that column. Let us re-create the same scenario. First create two tables and populated with sample data. USE tempdb GO -- Create table CREATE TABLE t1 (ID INT, Col1 VARCHAR(100)); CREATE TABLE t2 (ID INT, Col1 VARCHAR(100)); GO -- Sample Data Build INSERT INTO t1 (ID, Col1) SELECT 1, 'Col1-t1' UNION ALL SELECT 2, 'Col2-t1' UNION ALL SELECT 3, 'Col3-t1'; INSERT INTO t2 (ID, Col1) SELECT 3, 'Col1-t2' UNION ALL SELECT 2, 'Col2-t2' UNION ALL SELECT 1, 'Col3-t2'; GO If we SELECT the data from both the table using UNION ALL . -- SELECT without ORDER BY SELECT ID, Col1 FROM t1 UNION ALL SELECT ID, Col1 FROM t2 GO We will get the data in following order. However, our requirement is to get data in following order. If we need data ordered by Column1 we can ORDER the resultset ordered by Column1. -- SELECT with ORDER BY SELECT ID, Col1 FROM t1 UNION ALL SELECT ID, Col1 FROM t2 ORDER BY ID GO Now to get the data in independently sorted in UNION ALL let us add additional column OrderKey and use ORDER BY  on that column. I think the description does not do proper justice let us see the example here. -- SELECT with ORDER BY - with ORDER KEY SELECT ID, Col1, 'id1' OrderKey FROM t1 UNION ALL SELECT ID, Col1, 'id2' OrderKey FROM t2 ORDER BY OrderKey, ID GO The above query will give the desired result. Now do not forget to clean up the database by running the following script. -- Clean up DROP TABLE t1; DROP TABLE t2; GO Here is the complete script used in this example. USE tempdb GO -- Create table CREATE TABLE t1 (ID INT, Col1 VARCHAR(100)); CREATE TABLE t2 (ID INT, Col1 VARCHAR(100)); GO -- Sample Data Build INSERT INTO t1 (ID, Col1) SELECT 1, 'Col1-t1' UNION ALL SELECT 2, 'Col2-t1' UNION ALL SELECT 3, 'Col3-t1'; INSERT INTO t2 (ID, Col1) SELECT 3, 'Col1-t2' UNION ALL SELECT 2, 'Col2-t2' UNION ALL SELECT 1, 'Col3-t2'; GO -- SELECT without ORDER BY SELECT ID, Col1 FROM t1 UNION ALL SELECT ID, Col1 FROM t2 GO -- SELECT with ORDER BY SELECT ID, Col1 FROM t1 UNION ALL SELECT ID, Col1 FROM t2 ORDER BY ID GO -- SELECT with ORDER BY - with ORDER KEY SELECT ID, Col1, 'id1' OrderKey FROM t1 UNION ALL SELECT ID, Col1, 'id2' OrderKey FROM t2 ORDER BY OrderKey, ID GO -- Clean up DROP TABLE t1; DROP TABLE t2; GO I am sure there are many more ways to achieve this, what method would you use if you have to face the similar situation? Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: Best Practices, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• maintaining a growing, diverse codebase with continuous integration

  - by Nate

  I am in need of some help with philosophy and design of a continuous integration setup. Our current CI setup uses buildbot. When I started out designing it, I inherited (well, not strictly, as I was involved in its design a year earlier) a bespoke CI builder that was tailored to run the entire build at once, overnight. After a while, we decided that this was insufficient, and started exploring different CI frameworks, eventually choosing buildbot. One of my goals in transitioning to buildbot (besides getting to enjoy all the whiz-bang extras) was to overcome some of the inadequacies of our bespoke nightly builder. Humor me for a moment, and let me explain what I have inherited. The codebase for my company is almost 150 unique c++ Windows applications, each of which has dependencies on one or more of a dozen internal libraries (and many on 3rd party libraries as well). Some of these libraries are interdependent, and have depending applications that (while they have nothing to do with each other) have to be built with the same build of that library. Half of these applications and libraries are considered "legacy" and unportable, and must be built with several distinct configurations of the IBM compiler (for which I have written unique subclasses of Compile), and the other half are built with visual studio. The code for each compiler is stored in two separate Visual SourceSafe repositories (which I am simply handling using a bunch of ShellCommands, as there is no support for VSS). Our original nightly builder simply took down the source for everything, and built stuff in a certain order. There was no way to build only a single application, or pick a revision, or to group things. It would launched virtual machines to build a number of the applications. It wasn't very robust, it wasn't distributable. It wasn't terribly extensible. I wanted to be able to overcame all of these limitations in buildbot. The way I did this originally was to create entries for each of the applications we wanted to build (all 150ish of them), then create triggered schedulers that could build various applications as groups, and then subsume those groups under an overall nightly build scheduler. These could run on dedicated slaves (no more virtual machine chicanery), and if I wanted I could simply add new slaves. Now, if we want to do a full build out of schedule, it's one click, but we can also build just one application should we so desire. There are four weaknesses of this approach, however. One is our source tree's complex web of dependencies. In order to simplify config maintenace, all builders are generated from a large dictionary. The dependencies are retrieved and built in a not-terribly robust fashion (namely, keying off of certain things in my build-target dictionary). The second is that each build has between 15 and 21 build steps, which is hard to browse and look at in the web interface, and since there are around 150 columns, takes forever to load (think from 30 seconds to multiple minutes). Thirdly, we no longer have autodiscovery of build targets (although, as much as one of my coworkers harps on me about this, I don't see what it got us in the first place). Finally, aformentioned coworker likes to constantly bring up the fact that we can no longer perform a full build on our local machine (though I never saw what that got us, either, considering that it took three times as long as the distributed build; I think he is just paranoically phobic of ever breaking the build). Now, moving to new development, we are starting to use g++ and subversion (not porting the old repository, mind you - just for the new stuff). Also, we are starting to do more unit testing ("more" might give the wrong picture... it's more like any), and integration testing (using python). I'm having a hard time figuring out how to fit these into my existing configuration. So, where have I gone wrong philosophically here? How can I best proceed forward (with buildbot - it's the only piece of the puzzle I have license to work on) so that my configuration is actually maintainable? How do I address some of my design's weaknesses? What really works in terms of CI strategies for large, (possibly over-)complex codebases?

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• Heterogeneous Datacenter Management with Enterprise Manager 12c

  - by Joe Diemer

  The following is a Guest Blog, contributed by Bryce Kaiser, Product Manager at Blue MedoraWhen I envision a perfect datacenter, it would consist of technologies acquired from a single vendor across the entire server, middleware, application, network, and storage stack - Apps to Disk - that meets your organization’s every IT requirement with absolute best-of-breed solutions in every category.   To quote a familiar motto, your datacenter would consist of "Hardware and Software, Engineered to Work Together".  In almost all cases, practical realities dictate something far less than the IT Utopia mentioned above.   You may wish to leverage multiple vendors to keep licensing costs down, a single vendor may not have an offering in the IT category you need, or your preferred vendor may quite simply not have the solution that meets your needs.    In other words, your IT needs dictate a heterogeneous IT environment.  Heterogeneity, however, comes with additional complexity. The following are two pretty typical challenges:1) No End-to-End Visibility into the Enterprise Wide Application Deployment. Each vendor solution which is added to an infrastructure may bring its own tooling creating different consoles for different vendor applications and platforms.2) No Visibility into Performance Bottlenecks. When multiple management tools operate independently, you lose diagnostic capabilities including identifying cross-tier issues with database, hung-requests, slowness, memory leaks and hardware errors/failures causing DB/MW issues. As adoption of Oracle Enterprise Manager (EM) has increased, especially since the release of Enterprise Manager 12c, Oracle has seen an increase in the number of customers who want to leverage their investments in EM to manage non-Oracle workloads.  Enterprise Manager provides a single pane of glass view into their entire datacenter.  By creating a highly extensible framework via the Oracle EM Extensibility Development Kit (EDK), Oracle has provided the tooling for business partners such as my company Blue Medora as well as customers to easily fill gaps in the ecosystem and enhance existing solutions.  As mentioned in the previous post on the Enterprise Manager Extensibility Exchange, customers have access to an assortment of Oracle and Partner provided solutions through this Exchange, which is accessed at http://www.oracle.com/goto/emextensibility.  Currently, there are over 80 Oracle and partner provided plug-ins across the EM 11g and EM 12c versions.  Blue Medora is one of those contributing partners, for which you will find 3 of our solutions including our flagship plugin for VMware.  Let's look at Blue Medora’s VMware plug-in as an example to what I'm trying to convey.  Here is a common situation solved by true visibility into your entire stack:Symptoms•    My database is bogging down, however the database appears okay internally.  Maybe it’s starved for resources?•    My OS tooling is showing everything is “OK”.  Something doesn’t add up. Root cause•    Through the VMware plugin we can see the problem is actually on the virtualization layer Solution•    From within Enterprise Manager  -- the same tool you use for all of your database tuning -- we can overlay the data of the database target, host target, and virtual machine target for a true picture of the true root cause. Here is the console view: Perhaps your monitoring conditions are more specific to your environment.  No worries, Enterprise Manager still has you covered.  With Metric Extensions you have the “Next Generation” of User-Defined Metrics, which easily bring the power of your existing management scripts into a single console while leveraging the proven Enterprise Manager framework. Simply put, Oracle Enterprise manager boasts a growing ecosystem that provides the single pane of glass for your entire datacenter from the database and beyond.  Bryce can be contacted at [email protected]

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• What is best practice as far as using perl-isms (idiomatic expressions) in Perl?

  - by DVK

  A couple of years back I participated in writing the best practices/coding style for our (fairly large and often Perl-using) company. It was done by a committee of "senior" Perl developers. As anything done by consensus, it had parts which everyone disagreed with. Duh. The part that rubbed wrong the most was a strong recommendation to NOT use many Perlisms (loosely defined as code idioms not present in, say C++ or Java), such as "Avoid using '... unless X;' constructs". The main rationale posited for such rules as this one was that non-Perl developers would have much harder time with the Perl code base otherwise. The assumption here I guess is that Perl code jockeys are rarer breed overall - and among new hires to the company - than non-Perlers. I was wondering whether SO has any good arguments to support or reject this logic... it is mostly academic curiosity at this point as the company's Perl coding standard is ossified and will never be revised again as far as I'm aware. P.S. Just to be clear, the question is in the context I noted - the answer for an all-Perl smaller development shop is obviously a resounding "use Perl to its maximum capability".

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• What is the best way to update an unattached entity on Entity Framework?

  - by Carlos Loth

  Hi, In my project I have some data classes to retrieve data from the database using the Entity Framework. We called these classes *EntityName*Manager. All of them have a method to retrieve entities from database and they behave most like this: static public EntityA SelectByName(String name) { using (var context = new ApplicationContext()) { var query = from a in context.EntityASet where a.Name == name select a; try { var entityA = query.First(); context.Detach(entityA); return entityA; } catch (InvalidOperationException ex) { throw new DataLayerException( String.Format("The entityA whose name is '{0}' was not found.", name), ex); } } } You can see that I detach the entity before return it to the method caller. So, my question is "what is the best way to create an update method on my *EntityA*Manager class?" I'd like to pass the modified entity as a parameter of the method. But I haven't figured out a way of doing it without going to the database and reload the entity and update its values inside a new context. Any ideas? Thanks in advance, Carlos Loth.

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• What are best practices for managing related Cabal packages?

  - by Norman Ramsey

  I'm working on a dataflow-based optimization library written in Haskell. It now seems likely that the library is going to have to be split into two pieces: A core piece with minimal build dependencies; call it hoopl-core. A full piece, call it hoopl, which may have extra dependencies on packages like a prettyprinter, QuickCheck, and so on. The idea is that the Glasgow Haskell Compiler will depend only on hoopl-core, so that it won't be too difficult to bootstrap the compiler. Other compilers will get the extra goodies in hoopl. Package hoopl will depend on hoopl-core. The Debian package tools can build multiple packages from a single source tree. Unfortunately Cabal has not yet reached that level of sophistication. But there must be other library or application designers out there who have similar issues (e.g., one package for a core library, another for a command-line interface, another for a GUI interface). What are current best practices for building and managing multiple related Haskell packages using Cabal?

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• How can I set the Regional Options in a Visual Basic 6.0 Application?

  - by jalcom

  I have a VB6's Application that is in production environment right now, this application is reading the pc's Regional Settings; but now, I need to set another Regional Settings for the application without change the pc's settings. How can I set the new Regional Settings globally with the lowest impact? Is there any configuration method (or something like that) for do it?

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• What is the best practice in regards to building composite dtos off of an aggregate root with domain

  - by Chance

  I'm trying to figure out the best approach/practice for assembling a composite data transfer object off of an aggregate root and would love to hear people's thoughts on this. For example, lets say I have a root that has a few domain objects as children. I want to assemble a specific view dto, based on some business logic, that either has attributes or full dto's of it's objects. What I'm struggling with is trying to figure out where that assembly should happen. I can see it going on the domain object of the aggregate root as there is some business logic associated with it. The benefits of this approach from what I've deduced thus far is that it should reduce the inevitable business logic from bleeding outisde of the domain object. It also allows for private methods that take care of tasks that could become more complex from an external builder. The downsides being that the domain object becomes much more entrenched in the application's workflow and represents much more than just the domain object. It also could become very large in the scenario where you need multiple composite Dtos. Alternatively, I could also see it belonging to some form of transfer object assembler where there is a builder for each domain object. The domain objects would still be responsible for GetDto() and UpdateFromDto(dto). Outside of that, the builder would handle the construction and deconstruction of composite dtos. The downside is kind of mentioned above, where I fear this will easily lead to developers unfamiliar with DDD bleeding a ton of business logic into the assembler which is what I want to desperately avoid. Any thoughts would be greatly apperciated.

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• What are the best practices for storing PHP session data in a database?

  - by undefined

  I have developed a web application that uses a web server and database hosted by a web host (on the ground) and a server running on Amazon Web Services EC2. Both servers may be used by a user during a session and both will need to know some session information about a user. I don't want to POST the information that is needed by both servers because I dont want it to be visible to browsers / Firebug etc. So I need my session data to persist across servers. And I think that this means that the best option is to store all / some of the data that I need in the database rather than in a session. The easiest thing to do seems to be to keep the sessions but to POST the session_id between servers and use this as the key to lookup the data I need from a 'user_session_data' table in the database. I have looked at Tony Marston's article "Saving PHP Session Data to a database" - should I use this or will a table with the session data that I need and session_id as key suffice? What would be the downside of creating my own table and set of methods for storing the data I need in the database?

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• Question: can the title of my setting differ from the title of my executable/application?

  - by user100017

  Hi there, I'm developing an application which has a Settings pane, following the AppPrefs sample by Apple. If my application is named AppPrefs, this is the exact name/prompt/ title the Settings application will provide. Is there anyway to make this change? Can my executable somehow be named (for example) Application1 and my Settings named "Settings for App1"? Thanks!

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• What are your suggestions for best practises for regular data updates in a website database?

  - by bboyle1234

  My shared-hosting asp.net website must automatically run data update routines at regular times of day. Once it has finished running certain update routines, it can run update routines that are dependent on the previous updates. I have done this type of work before, using quite complicated setups. Some features of the framework I created are: A cron job from another server makes a request which starts a data update routine on the main server Each updater is loaded from web.config Each updater overrides a "canRunUpdate" method that determines whether its dependencies have finished updating Each updater overrides a "hasFinishedUpdate" method Each updater overrides a "runUpdate" method Updaters start and run in parallel threads The initial request from the cron job server started each updater in its own thread and then ended. As a result, the threads containing the updaters would be terminated before the updaters were finished. Therefore I had to give the updaters the ability to save partial results and continue the update job next time they are started up. As a result, the cron server had to call the updater many times to ensure the job is done. Sometimes the cron server would continue making update requests long after all the updates were completed. Sometimes the cron server would finish calling the update requests and leave some updates uncompleted. It's not the best system. I'm looking for inspiration. Any ideas please? Thank you :)

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• What would be the best way to store the questions and responses for a survey where I need to keep th

  - by Ian Roke

  Background I am writing a survey that is going to a large audience. It contains 15 questions and there are five possible answers to each question along with potential comments. The user can cycle through all 15 questions answering them in any order and is allowed to leave the survey at any point and return to answer the remaining questions. Once an answer has been attempted on all 15 questions a submit button appears which allows them to submit the questions as final answers. Until that stage all answers are required to be retrievable whenever the user loads the survey page up. The requirement is that the user only sees one question on a page and 'Previous' and 'Next' buttons allow the user to scroll through the questions. Requirement I could request the question each time the user clicks a button and save the current response and so on but that would be a large number of hits to a database that is already heavily used. I don't have the time to procure a new server etc so I have to make do with what I have. Is there any way I can cache the questions on the user machine and/or responses? Obviously I need the response data to be secure and only known to the user so I feel a little bit stuck as for the best way of doing this. Any pointers? I am prepared to offer a bounty of 100 points on this question if it means I get some good quality discussion and feedback going.

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• Google Rules for Retail

  - by David Dorf

  In the book What Would Google Do?, Jeff Jarvis outlines ten "Google Rules" that define how Google acts.  These rules help define how Web 2.0 businesses operate today and into the future.  While there's a chapter in the book on applying these rules to the retail industry, it wasn't very in-depth.  So I've decided to more directly apply the rules to retail, along with some notable examples of success.  The table below shows Jeff's Google Rule, some Industry Examples, and New Retailer Rules that I created. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} table.MsoTableGrid {mso-style-name:"Table Grid"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-priority:59; mso-style-unhide:no; border:solid black 1.0pt; mso-border-themecolor:text1; mso-border-alt:solid black .5pt; mso-border-themecolor:text1; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-border-insideh:.5pt solid black; mso-border-insideh-themecolor:text1; mso-border-insidev:.5pt solid black; mso-border-insidev-themecolor:text1; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Google Rule Industry Examples New Retailer Rule New Relationship Your worst customer is your friend; you best customer is your partner Newegg.com lets manufacturers respond to customer comments that are critical of the product, and their EggXpert site lets customers help other customers. Listen to what your customers are saying about you.  Convert the critics to fans and the fans to influencers. New Architecture Join a network; be a platform Tesco and BestBuy released APIs for their product catalogs so third-parties could create new applications. Become a destination for information. New Publicness Life is public, so is business Zappos and WholeFoods founders are prolific tweeters/bloggers, sharing their opinions and connecting to customers.  It's not always pretty, but it's genuine. Be transparent.  Share both your successes and failures with your customers. New Society Elegant organization Wet Seal helps their customers assemble outfits and show them off to each other.  Barnes & Noble has a community site that includes a bookclub. Communities of your customers already exist, so help them organize better. New Economy Mass market is dead; long live the mass of niches lululemon found a niche for yoga inspired athletic wear.  Threadless uses crowd-sourcing to design short-runs of T-shirts. Serve small markets with niche products. New Business Reality Decide what business you're in When Lowes realized catering to women brought the men along, their sales increased. Customers want experiences to go with the products they buy. New Attitude Trust the people and listen In 2008 Starbucks launched MyStartbucksIdea to solicit ideas from their customers. Use social networks as additional data points for making better merchandising decisions. New Ethic Be honest and transparent; don't be evil Target is giving away reusable shopping bags for Earth Day.  Kohl's has outfitted 67 stores with solar arrays. Being green earns customers' respect and lowers costs too. New Speed Life is live H&M and Zara keep up with fashion trends. Be prepared to pounce on you customers' fickle interests. New Imperatives Encourage, enable and protect innovation 1-800-Flowers was the first do sales in Facebook and an early adopter of mobile commerce.  The Sears Personal Shopper mobile app finds products based on a photo. Give your staff permission to fail so innovation won't be stifled. Jeff will be a keynote speaker at Crosstalk, our upcoming annual user conference, so I'm looking forward to hearing more of his perspective on retail and the new economy.

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• Oracle Enterprise Manager Cloud Control 12c: Contributing to emerging Cloud standards

  - by Anand Akela

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Contributed by Tony Di Cenzo, Director for Standards Strategy and Architecture, and Mark Carlson, Principal Cloud Architect, for Oracle's Systems Management and Storage Products Groups . As one would expect of an industry leader, Oracle's participation in industry standards bodies is extensive. We participate in dozens of organizations that produce open standards which apply to our products, and our commitment to the success of these organizations is manifest in several way - we support them financially through our memberships; our senior engineers are active participants, often serving in leadership positions on boards, technical working groups and committees; and when it makes good business sense we contribute our intellectual property. We believe supporting the development of open standards is fundamental to Oracle meeting customer demands for product choice, seamless interoperability, and lowering the cost of ownership. Nowhere is this truer than in the area of cloud standards, and for the most recent release of our flagship management product, Oracle Enterprise Manager Cloud Control 12c (EM Cloud Control 12c). There is a fundamental rule that standards follow architecture. This was true of distributed computing, it was true of service-oriented architecture (SOA), and it's true of cloud. If you are familiar with Enterprise Manager it is likely to be no surprise that EM Cloud Control 12c is a source of technology that can be considered for adoption within cloud management standards. The reason, quite simply, is that the Oracle integrated stack architecture aligns with the cloud architecture models being adopted by the industry, and EM Cloud Control 12c has been developed to manage this architecture. EM Cloud Control 12c has facilities for managing the various underlying capabilities of the integrated stack in IaaS, PaaS, and SaaS clouds, and enables essential characteristics such as on-demand self-service provisioning, centralized policy-based resource management, integrated chargeback, and capacity planning, and complete visibility of the physical and virtual environment from applications to disk. Our most recent contribution in support of cloud management standards to come out of the EM Cloud Control 12c work was the Oracle Cloud Elemental Resource Model API. Oracle contributed the Elemental Resource Model API to the Distributed Management Task Force (DMTF) in 2011 where it was assigned to DMTF's Cloud Management Working Group (CMWG). The CMWG is considering the Oracle specification and those of several other vendors in their effort to produce a best practices specification for managing IaaS clouds. DMTF's Cloud Infrastructure Management Interface specification, called CIMI for short, is currently out for public review and expected to be released by DMTF later this year. We are proud to be playing an important role in the development of what is expected to become a major cloud standard. You can find more information on DMTF CIMI at http://dmtf.org/standards/cloud. You can find the work-in-progress release of CIMI at http://dmtf.org/content/cimi-work-progress-specifications-now-available-public-comment . The Oracle Cloud API specification is available on the Oracle Technology Network. You can find more information about the Oracle Cloud Elemental Resource Model API on the Oracle Technical Network (OTN), including a webcast featuring the API engineering manager Jack Yu (see TechCast Live: Inside the Oracle Cloud Resource Model API). If you have not seen this video we recommend you take the time to view it. Simply hover your cursor over the webcast title and control+click to follow the embedded link. If you have a question about the Oracle Cloud API or want to learn more about Oracle's participation in cloud management standards efforts drop us a line. We'd love to hear from you. The Enterprise Manager Standards Blogs are written by Tony Di Cenzo, Director for Standards Strategy and Architecture, and Mark Carlson, Principal Cloud Architect, for Oracle's Systems Management and Storage Products Groups. They can be reached at Tony.DiCenzo at Oracle.com and Mark.Carlson at Oracle.com respectively. Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• Fragmented Log files could be slowing down your database

  - by Fatherjack

  Something that is sometimes forgotten by a lot of DBAs is the fact that database log files get fragmented in the same way that you get fragmentation in a data file. The cause is very different but the effect is the same – too much effort reading and writing data. Data files get fragmented as data is changed through normal system activity, INSERTs, UPDATEs and DELETEs cause fragmentation and most experienced DBAs are monitoring their indexes for fragmentation and dealing with it accordingly. However, you don’t hear about so many working on their log files. How can a log file get fragmented? I’m glad you asked. When you create a database there are at least two files created on the disk storage; an mdf for the data and an ldf for the log file (you can also have ndf files for extra data storage but that’s off topic for now). It is wholly possible to have more than one log file but in most cases there is little point in creating more than one as the log file is written to in a ‘wrap-around’ method (more on that later). When a log file is created at the time that a database is created the file is actually sub divided into a number of virtual log files (VLFs). The number and size of these VLFs depends on the size chosen for the log file. VLFs are also created in the space added to a log file when a log file growth event takes place. Do you have your log files set to auto grow? Then you have potentially been introducing many VLFs into your log file. Let’s get to see how many VLFs we have in a brand new database. USE master GO CREATE DATABASE VLF_Test ON ( NAME = VLF_Test, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test.mdf', SIZE = 100, MAXSIZE = 500, FILEGROWTH = 50 ) LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5MB, MAXSIZE = 250MB, FILEGROWTH = 5MB ); go USE VLF_Test go DBCC LOGINFO; The results of this are firstly a new database is created with specified files sizes and the the DBCC LOGINFO results are returned to the script editor. The DBCC LOGINFO results have plenty of interesting information in them but lets first note there are 4 rows of information, this relates to the fact that 4 VLFs have been created in the log file. The values in the FileSize column are the sizes of each VLF in bytes, you will see that the last one to be created is slightly larger than the others. So, a 5MB log file has 4 VLFs of roughly 1.25 MB. Lets alter the CREATE DATABASE script to create a log file that’s a bit bigger and see what happens. Alter the code above so that the log file details are replaced by LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 1GB, MAXSIZE = 25GB, FILEGROWTH = 1GB ); With a bigger log file specified we get more VLFs What if we make it bigger again? LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5GB, MAXSIZE = 250GB, FILEGROWTH = 5GB ); This time we see more VLFs are created within our log file. We now have our 5GB log file comprised of 16 files of 320MB each. In fact these sizes fall into all the ranges that control the VLF creation criteria – what a coincidence! The rules that are followed when a log file is created or has it’s size increased are pretty basic. If the file growth is lower than 64MB then 4 VLFs are created If the growth is between 64MB and 1GB then 8 VLFs are created If the growth is greater than 1GB then 16 VLFs are created. Now the potential for chaos comes if the default values and settings for log file growth are used. By default a database log file gets a 1MB log file with unlimited growth in steps of 10%. The database we just created is 6 MB, let’s add some data and see what happens. USE vlf_test go -- we need somewhere to put the data so, a table is in order IF OBJECT_ID('A_Table') IS NOT NULL DROP TABLE A_Table go CREATE TABLE A_Table ( Col_A int IDENTITY, Col_B CHAR(8000) ) GO -- Let's check the state of the log file -- 4 VLFs found EXECUTE ('DBCC LOGINFO'); go -- We can go ahead and insert some data and then check the state of the log file again INSERT A_Table (col_b) SELECT TOP 500 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO -- insert 500 rows and we get 22 VLFs EXECUTE ('DBCC LOGINFO'); go -- Let's insert more rows INSERT A_Table (col_b) SELECT TOP 2000 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO 10 -- insert 2000 rows, in 10 batches and we suddenly have 107 VLFs EXECUTE ('DBCC LOGINFO'); Well, that escalated quickly! Our log file is split, internally, into 107 fragments after a few thousand inserts. The same happens with any logged transactions, I just chose to illustrate this with INSERTs. Having too many VLFs can cause performance degradation at times of database start up, log backup and log restore operations so it’s well worth keeping a check on this property. How do we prevent excessive VLF creation? Creating the database with larger files and also with larger growth steps and actively choosing to grow your databases rather than leaving it to the Auto Grow event can make sure that the growths are made with a size that is optimal. How do we resolve a situation of a database with too many VLFs? This process needs to be done when the database is under little or no stress so that you don’t affect system users. The steps are: BACKUP LOG YourDBName TO YourBackupDestinationOfChoice Shrink the log file to its smallest possible size DBCC SHRINKFILE(FileNameOfTLogHere, TRUNCATEONLY) * Re-size the log file to the size you want it to, taking in to account your expected needs for the coming months or year. ALTER DATABASE YourDBName MODIFY FILE ( NAME = FileNameOfTLogHere, SIZE = TheSizeYouWantItToBeIn_MB) * – If you don’t know the file name of your log file then run sp_helpfile while you are connected to the database that you want to work on and you will get the details you need. The resize step can take quite a while This is already detailed far better than I can explain it by Kimberley Tripp in her blog 8-Steps-to-better-Transaction-Log-throughput.aspx. The result of this will be a log file with a VLF count according to the bullet list above. Knowing when VLFs are being created By complete coincidence while I have been writing this blog (it’s been quite some time from it’s inception to going live) Jonathan Kehayias from SQLSkills.com has written a great article on how to track database file growth using Event Notifications and Service Broker. I strongly recommend taking a look at it as this is going to catch any sneaky auto grows that take place and let you know about them right away. Hassle free monitoring of VLFs If you are lucky or wise enough to be using SQL Monitor or another monitoring tool that let’s you write your own custom metrics then you can keep an eye on this very easily. There is a custom metric for VLFs (written by Stuart Ainsworth) already on the site and there are some others there are very useful so take a moment or two to look around while you are there. Resources MSDN – http://msdn.microsoft.com/en-us/library/ms179355(v=sql.105).aspx Kimberly Tripp from SQLSkills.com – http://www.sqlskills.com/BLOGS/KIMBERLY/post/8-Steps-to-better-Transaction-Log-throughput.aspx Thomas LaRock at Simple-Talk.com – http://www.simple-talk.com/sql/database-administration/monitoring-sql-server-virtual-log-file-fragmentation/ Disclosure I am a Friend of Red Gate. This means that I am more than likely to say good things about Red Gate DBA and Developer tools. No matter how awesome I make them sound, take the time to compare them with other products before you contact the Red Gate sales team to make your order.

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• SQL SERVER – Identifying guest User using Policy Based Management

  - by pinaldave

  If you are following my recent blog posts, you may have noticed that I’ve been writing a lot about Guest User in SQL Server. Here are all the blog posts which I have written on this subject: SQL SERVER – Disable Guest Account – Serious Security Issue SQL SERVER – Force Removing User from Database – Fix: Error: Could not drop login ‘test’ as the user is currently logged in SQL SERVER – Detecting guest User Permissions – guest User Access Status SQL SERVER – guest User and MSDB Database – Enable guest User on MSDB Database One of the requests I received was whether we could create a policy that would prevent users unable guest user in user databases. Well, here is a quick tutorial to answer this. Let us see how quickly we can do it. Requirements Check if the guest user is disabled in all the user-created databases. Exclude master, tempdb and msdb database for guest user validation. We will create the following conditions based on the above two requirements: If the name of the user is ‘guest’ If the user has connect (@hasDBAccess) permission in the database Check in All user databases, except: master, tempDB and msdb Once we create two conditions, we will create a policy which will validate the conditions. Condition 1: Is the User Guest? Expand the Database >> Management >> Policy Management >> Conditions Right click on the Conditions, and click on “New Condition…”. First we will create a condition where we will validate if the user name is ‘guest’, and if it’s so, then we will further validate if it has DB access. Check the image for the necessary configuration for condition: Facet: User Expression: @Name = ‘guest’ Condition 2: Does the User have DBAccess? Expand the Database >> Management >> Policy Management >> Conditions Right click on Conditions and click on “New Condition…”. Now we will validate if the user has DB access. Check the image for necessary configuration for condition: Facet: User Expression: @hasDBAccess = False Condition 3: Exclude Databases Expand the Database >> Management >> Policy Management >> Conditions Write click on Conditions and click on “New Condition…” Now we will create condition where we will validate if database name is master, tempdb or msdb and if database name is any of them, we will not validate our first one condition with them. Check the image for necessary configuration for condition: Facet: Database Expression: @Name != ‘msdb’ AND @Name != ‘tempdb’ AND @Name != ‘master’ The next step will be creating a policy which will enforce these conditions. Creating a Policy Right click on Policies and click “New Policy…” Here, we justify what condition we want to validate against what the target is. Condition: Has User DBAccess Target Database: Every Database except (master, tempdb and MSDB) Target User: Every User in Target Database with name ‘guest’ Now we have options for two evaluation modes: 1) On Demand and 2) On Schedule We will select On Demand in this example; however, you can change the mode to On Schedule through the drop down menu, and select the interval of the evaluation of the policy. Evaluate the Policies We have selected OnDemand as our policy evaluation mode. We will now evaluate by means of executing Evaluate policy. Click on Evaluate and it will give the following result: The result demonstrates that one of the databases has a policy violation. Username guest is enabled in AdventureWorks database. You can disable the guest user by running the following code in AdventureWorks database. USE AdventureWorks; REVOKE CONNECT FROM guest; Once you run above query, you can already evaluate the policy again. Notice that the policy violation is fixed now. You can change the method of the evaluation policy to On Schedule and validate policy on interval. You can check the history of the policy and detect the violation. Quiz I have created three conditions to check if the guest user has database access or not. Now I want to ask you: Is it possible to do the same with 2 conditions? If yes, HOW? If no, WHY NOT? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Best Practices, CodeProject, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology Tagged: Policy Management

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• Oracle Enterprise Manager Ops Center 12c : Enterprise Controller High Availability (EC HA)

  - by Anand Akela

  Contributed by Mahesh sharma, Oracle Enterprise Manager Ops Center team In Oracle Enterprise Manager Ops Center 12c we introduced a new feature to make the Enterprise Controllers highly available. With EC HA if the hardware crashes, or if the Enterprise Controller services and/or the remote database stop responding, then the enterprise services are immediately restarted on the other standby Enterprise Controller without administrative intervention. In today's post, I'll briefly describe EC HA, look at some of the prerequisites and then show some screen shots of how the Enterprise Controller is represented in the BUI. In my next post, I'll show you how to install the EC in a HA environment and some of the new commands. What is EC HA? Enterprise Controller High Availability (EC HA) provides an active/standby fail-over solution for two or more Ops Center Enterprise Controllers, all within an Oracle Clusterware framework. This allows EC resources to relocate to a standby if the hardware crashes, or if certain services fail. It is also possible to manually relocate the services if maintenance on the active EC is required. When the EC services are relocated to the standby, EC services are interrupted only for the period it takes for the EC services to stop on the active node and to start back up on a standby node. What are the prerequisites? To install EC in a HA framework an understanding of the prerequisites are required. There are many possibilities on how these prerequisites can be installed and configured - we will not discuss these in this post. However, best practices should be applied when installing and configuring, I would suggest that you get expert help if you are not familiar with them. Lets briefly look at each of these prerequisites in turn: Hardware : Servers are required to host the active and standby node(s). As the nodes will be in a clustered environment, they need to be the same model and configured identically. The nodes should have the same processor class, number of cores, memory, network cards, for example. Operating System : We can use Solaris 10 9/10 or higher, Solaris 11, OEL 5.5 or higher on x86 or Sparc Network : There are a number of requirements for network cards in clusterware, and cables should be networked identically on all the nodes. We must also consider IP allocation for public / private and Virtual IP's (VIP's). Storage : Shared storage will be required for the cluster voting disks, Oracle Cluster Register (OCR) and the EC's libraries. Clusterware : Oracle Clusterware version 11.2.0.3 or later is required. This can be downloaded from: http://www.oracle.com/technetwork/database/enterprise-edition/downloads/index.html Remote Database : Oracle RDBMS 11.1.0.x or later is required. This can be downloaded from: http://www.oracle.com/technetwork/database/enterprise-edition/downloads/index.html For detailed information on how to install EC HA , please read : http://docs.oracle.com/cd/E27363_01/doc.121/e25140/install_config-shared.htm#OPCSO242 For detailed instructions on installing Oracle Clusterware, please read : http://docs.oracle.com/cd/E11882_01/install.112/e17214/chklist.htm#BHACBGII For detailed instructions on installing the remote Oracle database have a read of: http://www.oracle.com/technetwork/database/enterprise-edition/documentation/index.html The schematic diagram below gives a visual view of how the prerequisites are connected. When a fail-over occurs the Enterprise Controller resources and the VIP are relocated to one of the standby nodes. The standby node then becomes active and all Ops Center services are resumed. Connecting to the Enterprise Controller from your favourite browser. Let's presume we have installed and configured all the prerequisites, and installed Ops Center on the active and standby nodes. We can now connect to the active node from a browser i.e. http://<active_node1>/, this will redirect us to the virtual IP address (VIP). The VIP is the IP address that moves with the Enterprise Controller resource. Once you log on and view the assets, you will see some new symbols, these represent that the nodes are cluster members, with one being an active member and the other a standby member in this case. If you connect to the standby node, the browser will redirect you to a splash page, indicating that you have connected to the standby node. Hope you find this topic interesting. Next time I will post about how to install the Enterprise Controller in the HA frame work. Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• FairScheduling Conventions in Hadoop

  - by dan.mcclary

  While scheduling and resource allocation control has been present in Hadoop since 0.20, a lot of people haven't discovered or utilized it in their initial investigations of the Hadoop ecosystem. We could chalk this up to many things: Organizations are still determining what their dataflow and analysis workloads will comprise Small deployments under tests aren't likely to show the signs of strains that would send someone looking for resource allocation options The default scheduling options -- the FairScheduler and the CapacityScheduler -- are not placed in the most prominent position within the Hadoop documentation. However, for production deployments, it's wise to start with at least the foundations of scheduling in place so that you can tune the cluster as workloads emerge. To do that, we have to ask ourselves something about what the off-the-rack scheduling options are. We have some choices: The FairScheduler, which will work to ensure resource allocations are enforced on a per-job basis. The CapacityScheduler, which will ensure resource allocations are enforced on a per-queue basis. Writing your own implementation of the abstract class org.apache.hadoop.mapred.job.TaskScheduler is an option, but usually overkill. If you're going to have several concurrent users and leverage the more interactive aspects of the Hadoop environment (e.g. Pig and Hive scripting), the FairScheduler is definitely the way to go. In particular, we can do user-specific pools so that default users get their fair share, and specific users are given the resources their workloads require. To enable fair scheduling, we're going to need to do a couple of things. First, we need to tell the JobTracker that we want to use scheduling and where we're going to be defining our allocations. We do this by adding the following to the mapred-site.xml file in HADOOP_HOME/conf: <property> <name>mapred.jobtracker.taskScheduler</name> <value>org.apache.hadoop.mapred.FairScheduler</value> </property> <property> <name>mapred.fairscheduler.allocation.file</name> <value>/path/to/allocations.xml</value> </property> <property> <name>mapred.fairscheduler.poolnameproperty</name> <value>pool.name</value> </property> <property> <name>pool.name</name> <value>${user.name}</name> </property> What we've done here is simply tell the JobTracker that we'd like to task scheduling to use the FairScheduler class rather than a single FIFO queue. Moreover, we're going to be defining our resource pools and allocations in a file called allocations.xml For reference, the allocation file is read every 15s or so, which allows for tuning allocations without having to take down the JobTracker. Our allocation file is now going to look a little like this <?xml version="1.0"?> <allocations> <pool name="dan"> <minMaps>5</minMaps> <minReduces>5</minReduces> <maxMaps>25</maxMaps> <maxReduces>25</maxReduces> <minSharePreemptionTimeout>300</minSharePreemptionTimeout> </pool> <mapreduce.job.user.name="dan"> <maxRunningJobs>6</maxRunningJobs> </user> <userMaxJobsDefault>3</userMaxJobsDefault> <fairSharePreemptionTimeout>600</fairSharePreemptionTimeout> </allocations> In this case, I've explicitly set my username to have upper and lower bounds on the maps and reduces, and allotted myself double the number of running jobs. Now, if I run hive or pig jobs from either the console or via the Hue web interface, I'll be treated "fairly" by the JobTracker. There's a lot more tweaking that can be done to the allocations file, so it's best to dig down into the description and start trying out allocations that might fit your workload.

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• Notifications for Expiring DBSNMP Passwords

  - by Courtney Llamas

  Most user accounts these days have a password profile on them that automatically expires the password after a set number of days.   Depending on your company’s security requirements, this may be as little as 30 days or as long as 365 days, although typically it falls between 60-90 days. For a normal user, this can cause a small interruption in your day as you have to go get your password reset by an admin. When this happens to privileged accounts, such as the DBSNMP account that is responsible for monitoring database availability, it can cause bigger problems. In Oracle Enterprise Manager 12c you may notice the error message “ORA-28002: the password will expire within 5 days” when you connect to a target, or worse you may get “ORA-28001: the password has expired". If you wait too long, your monitoring will fail because the password is locked out. Wouldn’t it be nice if we could get an alert 10 days before our DBSNMP password expired? Thanks to Oracle Enterprise Manager 12c Metric Extensions (ME), you can! See the Oracle Enterprise Manager Cloud Control Administrator’s Guide for more information on Metric Extensions. To create a metric extension, select Enterprise / Monitoring / Metric Extensions, and then click on Create. On the General Properties screen select either Cluster Database or Database Instance, depending on which target you need to monitor.  If you have both RAC and Single instance you may need to create one for each. In this example we will create a Cluster Database metric.  Enter a Name for the ME and a Display Name. Then select SQL for the Adapter.  Adjust the Collection Schedule as desired, for this example we will collect this metric every 1 day. Notice for metric collected every day, we can determine the exact time we want to collect. On the Adapter page, enter the query that you wish to execute.  In this example we will use the query below that specifically checks for the DBSNMP user that is expiring within 10 days. Of course, you can adjust this query to alert for any user that can cause an outage such as an application account or service account such as RMAN. select username, account_status, trunc(expiry_date-sysdate) days_to_expirefrom dba_userswhere username = 'DBSNMP'and expiry_date is not null; The next step is to create the columns to store the data returned from the query.  Click Add and add a column for each of the fields in the same order that data is returned.  The table below will help you complete the column additions. Name Display Name Column Type Value Type Metric Category Unit Username User Name Key String Security AccountStatus Account Status Data String Security DaysToExpire Days Until Expiration Data Number Security Days When creating the DaysToExpire column, you can add a default threshold here for Warning and Critical (say < 10 and 5).  When all columns have been added, click Next. On the Credentials page, you can choose to use the default monitoring credentials or specify new credentials.  We will use the default credentials established for our target (dbsnmp). The next step is to test your Metric Extension.  Click on Add to select a target for testing, then click Select. Now click the button Run Test to execute the test against the selected target(s). We can see in the example below that the Metric Extension has executed and returned a value of 68 days to expire. Click Next to proceed. Review the metric extension in the final screen and click Finish. The metric will be created in Editable status.  Select the metric, click Actions and select Deployable Draft. You can do this once more to move to Published. Finally, we want to apply this metric to a target. When managing many targets, it’s best to add your metric to a template, for details on adding a Metric Extension to a template see the Administrator’s Guide. For this example, we will deploy this to a target directly. Select Actions / Deploy to Targets. Click Add and select the target you wish to deploy to and click Submit.  Once deployment is complete, we can go to the target and view the Metric & Collection Settings to see the new metric and its thresholds.   After some time, you will find the metric has collected and the days to expiration for DBSNMP user can be seen in the All Metrics view.   For metrics collected once per day, you may have to wait up to 24 hours to see the metric and current severity. In the example below, the current severity is Clear (green check) as it is not scheduled to expire within 10 days. To test the notification, we can edit the thresholds for the new metric so they trigger an alert.  Our password expires in 139 days, so we’ll change our Warning to 140 and leave Critical at 5, in our example we also changed the collection time to every 5 minutes.  At the next collection, you’ll find that the current severity changes to a Warning and any related Incident Rules would be triggered to create an Incident or Notification as desired. Now that you get a notification that your DBSNMP passwords is about to expire, you can use OEM Command Line Interface (EM CLI) verb update_db_password to change it at both the database target and the OEM target in one step.  The caveat is you must know the existing password to use the update_db_password command.  To learn more about EM CLI, see the Oracle Enterprise Manager Command Line Interface Guide.  Below is an example of changing the password with the update_db_password verb.  $ ./emcli update_db_password -target_name=emrep -target_type=oracle_database -user_name=dbsnmp -change_at_target=yes -change_all_references=yes Enter value for old_password :Enter value for new_password :Enter value for retype_new_password :Successfully submitted a job to change the password in Enterprise Manager and on the target database: "emrep"Execute "emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84" to check the status of the job.Search for job name "CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84" on the Jobs home page to check job execution details. The subsequent job created will typically run quickly enough that a blackout is not needed, however if you submit a script with many targets to change, your job may run slower so adding a blackout to the script is recommended. $ ./emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84 Name Type Job ID Execution ID Scheduled Completed TZ Offset Status Status ID Owner Target Type Target Name CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84 ChangePassword FA66C1C4D663297FE0437656F20ACC84 FA66C1C4D665297FE0437656F20ACC84 2014-05-28 09:39:12 2014-05-28 09:39:18 GMT-07:00 Succeeded 5 SYSMAN oracle_database emrep After implementing the above Metric Extension and using the EM CLI update_db_password verb, you will be able to stay on top of your DBSNMP password changes without experiencing an unplanned monitoring outage.  

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