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  • Multiple returns: Which one sets the final return value?

    - by DR
    Given this code: String test() { try { return "1"; } finally { return "2"; } } Do the language specifications define the return value of a call to test()? In other words: Is it always the same in every JVM? In the Sun JVM the return value is 2, but I want to be sure, that this is not VM-dependant.

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  • have an array of struct in wsdl + php without using NSoap

    - by Shadi
    Hi, I want to have an array of struct (an array of books with their specifications like publication, ISBN number, ...). in wsdl and php. I have searched a little and I have found files that uses Nusoap, However, I dont want to use NuSoap. Is there any solution? I would appreciate if you help me in writing the related wsdl, client and server (php) files. Thank you so much. Best, shadi.

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  • Custom Content-Type for File in Rails 'public' Folder

    - by Kevin Sylvestre
    For assets stored in the 'public' folder of a ruby-on-rails application is it possible to change the 'Content-Type' when running 'script/server'? For example, I am attempting to create an HTML5 application supporting offline mode, and have an 'offline.manifest'. When I run: curl -I localhost:3000/offline.mainfest The following header information is returned: HTTP/1.1 200 OK ... Content-Type: text/plain ... However, HTML5 specifications require: HTTP/1.1 200 OK ... Content-Type: text/cache-manifest ...

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  • Scrum and requirements

    - by Mel
    You can just have user stories somehow the functionality of the program has to be documented. Do you end up with a specifications document with scrum? If you do do you end up assigning time to do this onto the task?

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  • treating paramater as literal

    - by I__
    DoCmd.TransferText acImportDelim, Import-Accounts, "tableImport", _ "C:\Documents and Settings\accounts.txt", True The second parameter: Import-Accounts is the actual name of the saved import specifications. supposedly it does NOT need to be in quotes; however in this case since there is a - there it is treating it as if i were doing an operation. is there a way i can force it to treat it literally instead of as an operation?

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  • Creating a multi-column rollover image gallery with HTML 5

    - by nikolaosk
    I know it has been a while since I blogged about HTML 5. I have two posts in this blog about HTML 5. You can find them here and here.I am creating a small content website (only text,images and a contact form) for a friend of mine.He wanted to create a rollover gallery.The whole concept is that we have some small thumbnails on a page, the user hovers over them and they appear enlarged on a designated container/placeholder on a page. I am trying not to use Javascript scripts when I am using effects on a web page and this is what I will be doing in this post.  Well some people will say that HTML 5 is not supported in all browsers. That is true but most of the modern browsers support most of its recommendations. For people who still use IE6 some hacks must be devised.Well to be totally honest I cannot understand why anyone at this day and time is using IE 6.0.That really is beyond me.Well, the point of having a web browser is to be able to ENJOY the great experience that the WE? offers today.  Two very nice sites that show you what features and specifications are implemented by various browsers and their versions are http://caniuse.com/ and http://html5test.com/. At this times Chrome seems to support most of HTML 5 specifications.Another excellent way to find out if the browser supports HTML 5 and CSS 3 features is to use the Javascript lightweight library Modernizr.In this hands-on example I will be using Expression Web 4.0.This application is not a free application. You can use any HTML editor you like.You can use Visual Studio 2012 Express edition. You can download it here. In order to be absolutely clear this is not (and could not be ) a detailed tutorial on HTML 5. There are other great resources for that.Navigate to the excellent interactive tutorials of W3School.Another excellent resource is HTML 5 Doctor.For the people who are not convinced yet that they should invest time and resources on becoming experts on HTML 5 I should point out that HTML 5 websites will be ranked higher than others. Search engines will be able to locate better the content of our site and its relevance/importance since it is using semantic tags. Let's move now to the actual hands-on example. In this case (since I am mad Liverpool supporter) I will create a rollover image gallery of Liverpool F.C legends. I create a folder in my desktop. I name it Liverpool Gallery.Then I create two subfolders in it, large-images (I place the large images in there) and thumbs (I place the small images in there).Then I create an empty .html file called LiverpoolLegends.html and an empty .css file called style.css.Please have a look at the HTML Markup that I typed in my fancy editor package below<!doctype html><html lang="en"><head><title>Liverpool Legends Gallery</title><meta charset="utf-8"><link rel="stylesheet" type="text/css" href="style.css"></head><body><header><h1>A page dedicated to Liverpool Legends</h1><h2>Do hover over the images with the mouse to see the full picture</h2></header><ul id="column1"><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/john-barnes.jpg" alt=""><img class="large" src="large-images/john-barnes-large.jpg" alt=""></a></li><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/ian-rush.jpg" alt=""><img class="large" src="large-images/ian-rush-large.jpg" alt=""></a></li><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/graeme-souness.jpg" alt=""><img class="large" src="large-images/graeme-souness-large.jpg" alt=""></a></li></ul><ul id="column2"><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/steven-gerrard.jpg" alt=""><img class="large" src="large-images/steven-gerrard-large.jpg" alt=""></a></li><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/kenny-dalglish.jpg" alt=""><img class="large" src="large-images/kenny-dalglish-large.jpg" alt=""></a></li><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/robbie-fowler.jpg" alt=""><img class="large" src="large-images/robbie-fowler-large.jpg" alt=""></a></li></ul><ul id="column3"><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/alan-hansen.jpg" alt=""><img class="large" src="large-images/alan-hansen-large.jpg" alt=""></a></li><li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=8927200#"><img src="thumbs/michael-owen.jpg" alt=""><img class="large" src="large-images/michael-owen-large.jpg" alt=""></a></li></ul></body></html> It is very easy to follow the markup. Please have a look at the new doctype and the new semantic tag <header>. I have 3 columns and I place my images in there.There is a class called "large".I will use this class in my CSS code to hide the large image when the mouse is not on (hover) an image Make sure you validate your HTML 5 page in the validator found hereHave a look at the CSS code below that makes it all happen.img { border:none;}#column1 { position: absolute; top: 30; left: 100; }li { margin: 15px; list-style-type:none;}#column1 a img.large {  position: absolute; top: 0; left:700px; visibility: hidden;}#column1 a:hover { background: white;}#column1 a:hover img.large { visibility:visible;}#column2 { position: absolute; top: 30; left: 195px; }li { margin: 5px; list-style-type:none;}#column2 a img.large { position: absolute; top: 0; left:510px; margin-left:0; visibility: hidden;}#column2 a:hover { background: white;}#column2 a:hover img.large { visibility:visible;}#column3 { position: absolute; top: 30; left: 400px; width:108px;}li { margin: 5px; list-style-type:none;}#column3 a img.large { width: 260px; height:260px; position: absolute; top: 0; left:315px; margin-left:0; visibility: hidden;}#column3 a:hover { background: white;}#column3 a:hover img.large { visibility:visible;}?n the first line of the CSS code I set the images to have no border.Then I place the first column in the page and then remove the bullets from the list elements.Then I use the large CSS class to create a position for the large image and hide it.Finally when the hover event takes place I make the image visible.I repeat the process for the next two columns. I have tested the page with IE 10 and the latest versions of Opera,Chrome and Firefox.Feel free to style your HTML 5 gallery any way you want through the magic of CSS.I did not bother adding background colors and borders because that was beyond the scope of this post. Hope it helps!!!!

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  • Fun with Aggregates

    - by Paul White
    There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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  • Anatomy of a .NET Assembly - Custom attribute encoding

    - by Simon Cooper
    In my previous post, I covered how field, method, and other types of signatures are encoded in a .NET assembly. Custom attribute signatures differ quite a bit from these, which consequently affects attribute specifications in C#. Custom attribute specifications In C#, you can apply a custom attribute to a type or type member, specifying a constructor as well as the values of fields or properties on the attribute type: public class ExampleAttribute : Attribute { public ExampleAttribute(int ctorArg1, string ctorArg2) { ... } public Type ExampleType { get; set; } } [Example(5, "6", ExampleType = typeof(string))] public class C { ... } How does this specification actually get encoded and stored in an assembly? Specification blob values Custom attribute specification signatures use the same building blocks as other types of signatures; the ELEMENT_TYPE structure. However, they significantly differ from other types of signatures, in that the actual parameter values need to be stored along with type information. There are two types of specification arguments in a signature blob; fixed args and named args. Fixed args are the arguments to the attribute type constructor, named arguments are specified after the constructor arguments to provide a value to a field or property on the constructed attribute type (PropertyName = propValue) Values in an attribute blob are limited to one of the basic types (one of the number types, character, or boolean), a reference to a type, an enum (which, in .NET, has to use one of the integer types as a base representation), or arrays of any of those. Enums and the basic types are easy to store in a blob - you simply store the binary representation. Strings are stored starting with a compressed integer indicating the length of the string, followed by the UTF8 characters. Array values start with an integer indicating the number of elements in the array, then the item values concatentated together. Rather than using a coded token, Type values are stored using a string representing the type name and fully qualified assembly name (for example, MyNs.MyType, MyAssembly, Version=1.0.0.0, Culture=neutral, PublicKeyToken=0123456789abcdef). If the type is in the current assembly or mscorlib then just the type name can be used. This is probably done to prevent direct references between assemblies solely because of attribute specification arguments; assemblies can be loaded in the reflection-only context and attribute arguments still processed, without loading the entire assembly. Fixed and named arguments Each entry in the CustomAttribute metadata table contains a reference to the object the attribute is applied to, the attribute constructor, and the specification blob. The number and type of arguments to the constructor (the fixed args) can be worked out by the method signature referenced by the attribute constructor, and so the fixed args can simply be concatenated together in the blob without any extra type information. Named args are different. These specify the value to assign to a field or property once the attribute type has been constructed. In the CLR, fields and properties can be overloaded just on their type; different fields and properties can have the same name. Therefore, to uniquely identify a field or property you need: Whether it's a field or property (indicated using byte values 0x53 and 0x54, respectively) The field or property type The field or property name After the fixed arg values is a 2-byte number specifying the number of named args in the blob. Each named argument has the above information concatenated together, mostly using the basic ELEMENT_TYPE values, in the same way as a method or field signature. A Type argument is represented using the byte 0x50, and an enum argument is represented using the byte 0x55 followed by a string specifying the name and assembly of the enum type. The named argument property information is followed by the argument value, using the same encoding as fixed args. Boxed objects This would be all very well, were it not for object and object[]. Arguments and properties of type object allow a value of any allowed argument type to be specified. As a result, more information needs to be specified in the blob to interpret the argument bytes as the correct type. So, the argument value is simple prepended with the type of the value by specifying the ELEMENT_TYPE or name of the enum the value represents. For named arguments, a field or property of type object is represented using the byte 0x51, with the actual type specified in the argument value. Some examples... All property signatures start with the 2-byte value 0x0001. Similar to my previous post in the series, names in capitals correspond to a particular byte value in the ELEMENT_TYPE structure. For strings, I'll simply give the string value, rather than the length and UTF8 encoding in the actual blob. I'll be using the following enum and attribute types to demonstrate specification encodings: class AttrAttribute : Attribute { public AttrAttribute() {} public AttrAttribute(Type[] tArray) {} public AttrAttribute(object o) {} public AttrAttribute(MyEnum e) {} public AttrAttribute(ushort x, int y) {} public AttrAttribute(string str, Type type1, Type type2) {} public int Prop1 { get; set; } public object Prop2 { get; set; } public object[] ObjectArray; } enum MyEnum : int { Val1 = 1, Val2 = 2 } Now, some examples: Here, the the specification binds to the (ushort, int) attribute constructor, with fixed args only. The specification blob starts off with a prolog, followed by the two constructor arguments, then the number of named arguments (zero): [Attr(42, 84)] 0x0001 0x002a 0x00000054 0x0000 An example of string and type encoding: [Attr("MyString", typeof(Array), typeof(System.Windows.Forms.Form))] 0x0001 "MyString" "System.Array" "System.Windows.Forms.Form, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" 0x0000 As you can see, the full assembly specification of a type is only needed if the type isn't in the current assembly or mscorlib. Note, however, that the C# compiler currently chooses to fully-qualify mscorlib types anyway. An object argument (this binds to the object attribute constructor), and two named arguments (a null string is represented by 0xff and the empty string by 0x00) [Attr((ushort)40, Prop1 = 12, Prop2 = "")] 0x0001 U2 0x0028 0x0002 0x54 I4 "Prop1" 0x0000000c 0x54 0x51 "Prop2" STRING 0x00 Right, more complicated now. A type array as a fixed argument: [Attr(new[] { typeof(string), typeof(object) })] 0x0001 0x00000002 // the number of elements "System.String" "System.Object" 0x0000 An enum value, which is simply represented using the underlying value. The CLR works out that it's an enum using information in the attribute constructor signature: [Attr(MyEnum.Val1)] 0x0001 0x00000001 0x0000 And finally, a null array, and an object array as a named argument: [Attr((Type[])null, ObjectArray = new object[] { (byte)2, typeof(decimal), null, MyEnum.Val2 })] 0x0001 0xffffffff 0x0001 0x53 SZARRAY 0x51 "ObjectArray" 0x00000004 U1 0x02 0x50 "System.Decimal" STRING 0xff 0x55 "MyEnum" 0x00000002 As you'll notice, a null object is encoded as a null string value, and a null array is represented using a length of -1 (0xffffffff). How does this affect C#? So, we can now explain why the limits on attribute arguments are so strict in C#. Attribute specification blobs are limited to basic numbers, enums, types, and arrays. As you can see, this is because the raw CLR encoding can only accommodate those types. Special byte patterns have to be used to indicate object, string, Type, or enum values in named arguments; you can't specify an arbitary object type, as there isn't a generalised way of encoding the resulting value in the specification blob. In particular, decimal values can't be encoded, as it isn't a 'built-in' CLR type that has a native representation (you'll notice that decimal constants in C# programs are compiled as several integer arguments to DecimalConstantAttribute). Jagged arrays also aren't natively supported, although you can get around it by using an array as a value to an object argument: [Attr(new object[] { new object[] { new Type[] { typeof(string) } }, 42 })] Finally... Phew! That was a bit longer than I thought it would be. Custom attribute encodings are complicated! Hopefully this series has been an informative look at what exactly goes on inside a .NET assembly. In the next blog posts, I'll be carrying on with the 'Inside Red Gate' series.

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  • Using JQuery tabs in an HTML 5 page

    - by nikolaosk
    In this post I will show you how to create a simple tabbed interface using JQuery,HTML 5 and CSS.Make sure you have downloaded the latest version of JQuery (minified version) from http://jquery.com/download.Please find here all my posts regarding JQuery.Also have a look at my posts regarding HTML 5.In order to be absolutely clear this is not (and could not be) a detailed tutorial on HTML 5. There are other great resources for that.Navigate to the excellent interactive tutorials of W3School.Another excellent resource is HTML 5 Doctor.Two very nice sites that show you what features and specifications are implemented by various browsers and their versions are http://caniuse.com/ and http://html5test.com/. At this times Chrome seems to support most of HTML 5 specifications.Another excellent way to find out if the browser supports HTML 5 and CSS 3 features is to use the Javascript lightweight library Modernizr.In this hands-on example I will be using Expression Web 4.0.This application is not a free application. You can use any HTML editor you like.You can use Visual Studio 2012 Express edition. You can download it here. Let me move on to the actual example.This is the sample HTML 5 page<!DOCTYPE html><html lang="en">  <head>    <title>Liverpool Legends</title>    <meta http-equiv="Content-Type" content="text/html;charset=utf-8" >    <link rel="stylesheet" type="text/css" href="style.css">    <script type="text/javascript" src="jquery-1.8.2.min.js"> </script>     <script type="text/javascript" src="tabs.js"></script>       </head>  <body>    <header>        <h1>Liverpool Legends</h1>    </header>     <section id="tabs">        <ul>            <li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=9143136#first-tab">Defenders</a></li>            <li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=9143136#second-tab">Midfielders</a></li>            <li><a href="http://weblogs.asp.net/controlpanel/blogs/posteditor.aspx?SelectedNavItem=Posts§ionid=1153&postid=9143136#third-tab">Strikers</a></li>        </ul>   <div id="first-tab">     <h3>Liverpool Defenders</h3>     <p> The best defenders that played for Liverpool are Jamie Carragher, Sami Hyypia , Ron Yeats and Alan Hansen.</p>   </div>   <div id="second-tab">     <h3>Liverpool Midfielders</h3>     <p> The best midfielders that played for Liverpool are Kenny Dalglish, John Barnes,Ian Callaghan,Steven Gerrard and Jan Molby.        </p>   </div>   <div id="third-tab">     <h3>Liverpool Strikers</h3>     <p>The best strikers that played for Liverpool are Ian Rush,Roger Hunt,Robbie Fowler and Fernando Torres.<br/>      </p>   </div> </div></section>            <footer>        <p>All Rights Reserved</p>      </footer>     </body>  </html>  This is very simple HTML markup. I have styled this markup using CSS.The contents of the style.css file follow* {    margin: 0;    padding: 0;}header{font-family:Tahoma;font-size:1.3em;color:#505050;text-align:center;}#tabs {    font-size: 0.9em;    margin: 20px 0;}#tabs ul {    float: left;    background: #777;    width: 260px;    padding-top: 24px;}#tabs li {    margin-left: 8px;    list-style: none;}* html #tabs li {    display: inline;}#tabs li, #tabs li a {    float: left;}#tabs ul li.active {    border-top:2px red solid;    background: #15ADFF;}#tabs ul li.active a {    color: #333333;}#tabs div {    background: #15ADFF;    clear: both;    padding: 15px;    min-height: 200px;}#tabs div h3 {    margin-bottom: 12px;}#tabs div p {    line-height: 26px;}#tabs ul li a {    text-decoration: none;    padding: 8px;    color:#0b2f20;    font-weight: bold;}footer{background-color:#999;width:100%;text-align:center;font-size:1.1em;color:#002233;}There are some CSS rules that style the various elements in the HTML 5 file. These are straight-forward rules. The JQuery code lives inside the tabs.js file $(document).ready(function(){$('#tabs div').hide();$('#tabs div:first').show();$('#tabs ul li:first').addClass('active'); $('#tabs ul li a').click(function(){$('#tabs ul li').removeClass('active');$(this).parent().addClass('active');var currentTab = $(this).attr('href');$('#tabs div').hide();$(currentTab).show();return false;});}); I am using some of the most commonly used JQuery functions like hide , show, addclass , removeClass I hide and show the tabs when the tab becomes the active tab. When I view my page I get the following result Hope it helps!!!!!

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  • Evaluating Solutions to Manage Product Compliance? Don't Wait Much Longer

    - by Kerrie Foy
    Depending on severity, product compliance issues can cause all sorts of problems from run-away budgets to business closures. But effective policies and safeguards can create a strong foundation for innovation, productivity, market penetration and competitive advantage. If you’ve been putting off a systematic approach to product compliance, it is time to reconsider that decision, or indecision. Why now?  No matter what industry, companies face a litany of worldwide and regional regulations that require proof of product compliance and environmental friendliness for market access.  For example, Restriction of Hazardous Substances (RoHS) is a regulation that restricts the use of six dangerous materials used in the manufacture of electronic and electrical equipment.  ROHS was originally adopted by the European Union in 2003 for implementation in 2006, and it has evolved over time through various regional versions for North America, China, Japan, Korea, Norway and Turkey.  In addition, the RoHS directive allowed for material exemptions used in Medical Devices, but that exemption ends in 2014.   Additional regulations worth watching are the Battery Directive, Waste Electrical and Electronic Equipment (WEEE), and Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) directives.  Additional evolving regulations are coming from governing bodies like the Food and Drug Administration (FDA) and the International Organization for Standardization (ISO). Corporate sustainability initiatives are also gaining urgency and influencing product design. In a survey of 405 corporations in the Global 500 by Carbon Disclosure Project, co-written by PwC (CDP Global 500 Climate Change Report 2012 entitled Business Resilience in an Uncertain, Resource-Constrained World), 48% of the respondents indicated they saw potential to create new products and business services as a response to climate change. Just 21% reported a dedicated budget for the research. However, the report goes on to explain that those few companies are winning over new customers and driving additional profits by exploiting their abilities to adapt to environmental needs. The article cites Dell as an example – Dell has invested in research to develop new products designed to reduce its customers’ emissions by more than 10 million metric tons of CO2e per year. This reduction in emissions should save Dell’s customers over $1billion per year as a result! Over time we expect to see many additional companies prove that eco-design provides marketplace benefits through differentiation and direct customer value. How do you meet compliance requirements and also successfully invest in eco-friendly designs? No doubt companies struggle to answer this question. After all, the journey to get there may involve transforming business models, go-to-market strategies, supply networks, quality assurance policies and compliance processes per the rapidly evolving global and regional directives. There may be limited executive focus on the initiative, inability to quantify noncompliance, or not enough resources to justify investment. To make things even more difficult to address, compliance responsibility can be a passionate topic within an organization, making the prospect of change on an enterprise scale problematic and time-consuming. Without a single source of truth for product data and without proper processes in place, ensuring product compliance burgeons into a crushing task that is cost-prohibitive and overwhelming to an organization. With all the overhead, certain markets or demographics become simply inaccessible. Therefore, the risk to consumer goodwill and satisfaction, revenue, business continuity, and market potential is too great not to solve the compliance challenge. Companies are beginning to adapt and even thrive in today’s highly regulated and transparent environment by implementing systematic approaches to product compliance that are more than functional bandages but revenue-generating engines. Consider partnering with Oracle to help you address your compliance needs. Many of the world’s most innovative leaders and pioneers are leveraging Oracle’s Agile Product Lifecycle Management (PLM) portfolio of enterprise applications to manage the product value chain, centralize product data, automate processes, and launch more eco-friendly products to market faster.   Particularly, the Agile Product Governance & Compliance (PG&C) solution provides out-of-the-box functionality to integrate actionable regulatory information into the enterprise product record from the ideation to the disposal/recycling phase. Agile PG&C makes it possible to efficiently manage compliance per corporate green initiatives as well as regional and global directives. Options are critical, but so is ease-of-use. Anyone who’s grappled with compliance policy knows legal interpretation plays a major role in determining how an organization responds to regulation. Agile PG&C gives you the freedom to configure product compliance per your needs, while maintaining rigorous control over the product record in an easy-to-use interface that facilitates adoption efforts. It allows you to assign regulations as specifications for a part or BOM roll-up. Each specification has a threshold value that alerts you to a non-compliance issue if the threshold value is exceeded. Set however many regulations as specifications you need to make sure a product can be sold in your target countries. Another option is to implement like one of our leading consumer electronics customers and define your own “catch-all” specification to ensure compliance in all markets. You can give your suppliers secure access to enter their component data or integrate a third party’s data. With Agile PG&C you are able to design compliance earlier into your products to reduce cost and improve quality downstream when stakes are higher. Agile PG&C is a comprehensive solution that makes product compliance more reliable and efficient. Throughout product lifecycles, use the solution to support full material disclosures, efficiently manage declarations with your suppliers, feed compliance data into a corrective action if a product must be changed, and swiftly satisfy audits by showing all due diligence tracked in one solution. Given the compounding regulation and consumer focus on urgent environmental issues, now is the time to act. Implementing an enterprise, systematic approach to product compliance is a competitive investment. From the start, Agile Product Governance & Compliance enables companies to confidently design for compliance and sustainability, reduce the cost of compliance, minimize the risk of business interruption, deliver responsible products, and inspire new innovation.  Don’t wait any longer! To find out more about Agile Product Governance & Compliance download the data sheet, contact your sales representative, or call Oracle at 1-800-633-0738. Many thanks to Shane Goodwin, Senior Manager, Oracle Agile PLM Product Management, for contributions to this article. 

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  • Fun with Aggregates

    - by Paul White
    There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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  • Testing Workflows &ndash; Test-First

    - by Timothy Klenke
    Originally posted on: http://geekswithblogs.net/TimothyK/archive/2014/05/30/testing-workflows-ndash-test-first.aspxThis is the second of two posts on some common strategies for approaching the job of writing tests.  The previous post covered test-after workflows where as this will focus on test-first.  Each workflow presented is a method of attack for adding tests to a project.  The more tools in your tool belt the better.  So here is a partial list of some test-first methodologies. Ping Pong Ping Pong is a methodology commonly used in pair programing.  One developer will write a new failing test.  Then they hand the keyboard to their partner.  The partner writes the production code to get the test passing.  The partner then writes the next test before passing the keyboard back to the original developer. The reasoning behind this testing methodology is to facilitate pair programming.  That is to say that this testing methodology shares all the benefits of pair programming, including ensuring multiple team members are familiar with the code base (i.e. low bus number). Test Blazer Test Blazing, in some respects, is also a pairing strategy.  The developers don’t work side by side on the same task at the same time.  Instead one developer is dedicated to writing tests at their own desk.  They write failing test after failing test, never touching the production code.  With these tests they are defining the specification for the system.  The developer most familiar with the specifications would be assigned this task. The next day or later in the same day another developer fetches the latest test suite.  Their job is to write the production code to get those tests passing.  Once all the tests pass they fetch from source control the latest version of the test project to get the newer tests. This methodology has some of the benefits of pair programming, namely lowering the bus number.  This can be good way adding an extra developer to a project without slowing it down too much.  The production coder isn’t slowed down writing tests.  The tests are in another project from the production code, so there shouldn’t be any merge conflicts despite two developers working on the same solution. This methodology is also a good test for the tests.  Can another developer figure out what system should do just by reading the tests?  This question will be answered as the production coder works there way through the test blazer’s tests. Test Driven Development (TDD) TDD is a highly disciplined practice that calls for a new test and an new production code to be written every few minutes.  There are strict rules for when you should be writing test or production code.  You start by writing a failing (red) test, then write the simplest production code possible to get the code working (green), then you clean up the code (refactor).  This is known as the red-green-refactor cycle. The goal of TDD isn’t the creation of a suite of tests, however that is an advantageous side effect.  The real goal of TDD is to follow a practice that yields a better design.  The practice is meant to push the design toward small, decoupled, modularized components.  This is generally considered a better design that large, highly coupled ball of mud. TDD accomplishes this through the refactoring cycle.  Refactoring is only possible to do safely when tests are in place.  In order to use TDD developers must be trained in how to look for and repair code smells in the system.  Through repairing these sections of smelly code (i.e. a refactoring) the design of the system emerges. For further information on TDD, I highly recommend the series “Is TDD Dead?”.  It discusses its pros and cons and when it is best used. Acceptance Test Driven Development (ATDD) Whereas TDD focuses on small unit tests that concentrate on a small piece of the system, Acceptance Tests focuses on the larger integrated environment.  Acceptance Tests usually correspond to user stories, which come directly from the customer. The unit tests focus on the inputs and outputs of smaller parts of the system, which are too low level to be of interest to the customer. ATDD generally uses the same tools as TDD.  However, ATDD uses fewer mocks and test doubles than TDD. ATDD often complements TDD; they aren’t competing methods.  A full test suite will usually consist of a large number of unit (created via TDD) tests and a smaller number of acceptance tests. Behaviour Driven Development (BDD) BDD is more about audience than workflow.  BDD pushes the testing realm out towards the client.  Developers, managers and the client all work together to define the tests. Typically different tooling is used for BDD than acceptance and unit testing.  This is done because the audience is not just developers.  Tools using the Gherkin family of languages allow for test scenarios to be described in an English format.  Other tools such as MSpec or FitNesse also strive for highly readable behaviour driven test suites. Because these tests are public facing (viewable by people outside the development team), the terminology usually changes.  You can’t get away with the same technobabble you can with unit tests written in a programming language that only developers understand.  For starters, they usually aren’t called tests.  Usually they’re called “examples”, “behaviours”, “scenarios”, or “specifications”. This may seem like a very subtle difference, but I’ve seen this small terminology change have a huge impact on the acceptance of the process.  Many people have a bias that testing is something that comes at the end of a project.  When you say we need to define the tests at the start of the project many people will immediately give that a lower priority on the project schedule.  But if you say we need to define the specification or behaviour of the system before we can start, you’ll get more cooperation.   Keep these test-first and test-after workflows in your tool belt.  With them you’ll be able to find new opportunities to apply them.

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  • Sublinear Extra Space MergeSort

    - by hulkmeister
    I am reviewing basic algorithms from a book called Algorithms by Robert Sedgewick, and I came across a problem in MergeSort that I am, sad to say, having difficulty solving. The problem is below: Sublinear Extra Space. Develop a merge implementation that reduces that extra space requirement to max(M, N/M), based on the following idea: Divide the array into N/M blocks of size M (for simplicity in this description, assume that N is a multiple of M). Then, (i) considering the blocks as items with their first key as the sort key, sort them using selection sort; and (ii) run through the array merging the first block with the second, then the second block with the third, and so forth. The problem I have with the problem is that based on the idea Sedgewick recommends, the following set of arrays will not be sorted: {0, 10, 12}, {3, 9, 11}, {5, 8, 13}. The algorithm I use is the following: Divide the full array into subarrays of size M. Run Selection Sort on each of the subarrays. Merge each of the subarrays using the method Sedgwick recommends in (ii). (This is where I encounter the problem of where to store the results after the merge.) This leads to wanting to increase the size of the auxiliary space needed to handle at least two subarrays at a time (for merging), but based on the specifications of the problem, that is not allowed. I have also considered using the original array as space for one subarray and using the auxiliary space for the second subarray. However, I can't envision a solution that does not end up overwriting the entries of the first subarray. Any ideas on other ways this can be done? NOTE: If this is suppose to be on StackOverflow.com, please let me know how I can move it. I posted here because the question was academic.

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  • Using Oracle Enterprise Manager Ops Center to Update Solaris via Live Upgrade

    - by LeonShaner
    Introduction: This Oracle Enterprise Manager Ops Center blog entry provides tips for using Ops Center to update Solaris using Live Upgrade on Solaris 10 and Boot Environments on Solaris 11. Why use Live Upgrade? Live Upgrade (LU) can significantly reduce downtime associated with patching Live Upgrade avoids dropping to single-user mode for long periods of time during patching Live Upgrade relies on an Alternate Boot Environment (ABE)/(BE), which is patched while in multi-user mode; thereby allowing normal system operations to continue with the active BE, while the alternate BE is being patched Activating an newly patched (A)BE is essentially a reboot; therefore the downtime is ~= reboot Admins can easily revert to the prior Boot Environment (BE) as a safeguard / fallback. Why use Ops Center to patch via Live Upgrade, Alternate Boot Environments, and Solaris 11 equivalents? All the benefits of Ops Center's extensive patch and package knowledge base can be leveraged on top of Live Upgrade Ops Center can orchestrate patching based on Live Upgrade and Solaris 11 features, which all works together to minimize downtime Ops Centers advanced inventory and reporting features assurance that each OS is updated to a verifiable, consistent standard, rather than relying on ad-hoc (error prone) procedures and scripts Ops Center gives admins control over the boot environment specifications or they can let Ops Center decide when a BE is necessary, thereby reducing complexity and lowering the opportunity for user error Preparing to use Live Upgrade-like features in Solaris 11 Requirements and information you should know: Global Zone Root file-systems must be separate from Solaris Container / Zone filesystems Solaris 11 has features which are similar in concept to Live Upgrade on Solaris 10, but differ greatly in implementationImportant distinctions: Solaris 11 assumes ZFS root Solaris 11 adds Boot Environments (BE's) as an integrated feature (see beadm) Solaris 11 BE's avoid single-user patching (vs. Solaris 10 w/ ZFS snapshot=ABE). Solaris 11 Image Packaging System (IPS) has hooks for BE creation, as needed Solaris 11 allows pkgs to be installed + upgraded in alternate BE (e.g. instead of the live system) but it is controlled on a per-pkg basis Boot Environments are activated across a reboot; instead of spending long periods installing + upgrading packages in single user mode. Fallback to a prior BE is a function of the BE infrastructure (a la beadm). (Generally) Reboot + BE activation can be much much faster on Solaris 11 Preparing to use Live Upgrade on Solaris 10 Requirements and information you should know: Global Zone Root file-systems must be separate from Solaris Container / Zone filesystems Live Upgrade Pre-requisite patches must be applied before the first Live Upgrade Alternate Boot Environments are created (see "Pre-requisite Patches" section, below...) Solaris 10 Update 6 or newer on ZFS root is the practical starting point for Live Upgrade Live Upgrade with ZFS root is far more straight-forward than any scheme based on Alternative Boot Environments in slices or temporarily breaking mirrors Use Solaris best practices to upgrade the OS to at least Solaris 10 Update 4 (outside of Ops Center) UFS root can (technically) be used, but it is significantly more involved (e.g. discouraged) -- there are many reasons to move to ZFS while going through the process to update to Solaris 10 Update 6 or newer (out side of Ops Center) Recommendation: Start with Solaris 10 Update 6 or newer on ZFS root Recommendation: Start with Ops Center 12c or newer Ops Center 12c can automatically create your ABE's for you, without the need for custom scripts Ops Center 12c Update 2 avoids kernel panic on unpatched Solaris 10 update 9 (and older) -- unrelated to Live Upgrade, but more on the issue, below. NOTE: There is no magic!  If you have systems running Solaris 10 Update 5 or older on UFS root, and you don't know how to get them updated to Solaris 10 on ZFS root, then there are services available from Oracle Advanced Customer Support (ACS), which specialize in this area. Live Upgrade Pre-requisite Patches (Solaris 10) Certain Live Upgrade related patches must be present before the first Live Upgrade ABE's are created on Solaris 10.Use the following MOS Search String to find the “living document” that outlines the required patch minimums, which are necessary before using any Live Upgrade features: Solaris Live Upgrade Software Patch Requirements(Click above – the link is valid as of this writing, but search in MOS for the same "Solaris Live Upgrade Software Patch Requirements" string if necessary) It is a very good idea to check the document periodically and adapt to its contents, accordingly.IMPORTANT:  In case it wasn't clear in the above document, some direct patching of the active OS, including a reboot, may be required before Live Upgrade can be successfully used the first time.HINT: You can use Ops Center to determine what to expect for a given system, and to schedule the “pre-patching” during a maintenance window if necessary. Preparing to use Ops Center Discover + Manage (Install + Configure the Ops Center agent in) each Global Zone Recommendation:  Begin by using OCDoctor --agent-prereq to determine whether OS meets OC prerequisites (resolve any issues) See prior requirements and recommendations w.r.t. starting with Solaris 10 Update 6 or newer on ZFS (or at least Solaris 10 Update 4 on UFS, with caveats) WARNING: Systems running unpatched Solaris 10 update 9 (or older) should run the Ops Center 12c Update 2 agent to avoid a potential kernel panic The 12c Update 2 agent will check patch minimums and disable certain process accounting features if the kernel is not sufficiently patched to avoid the panic SPARC: 142900-05 Obsoleted by: 142900-06 SunOS 5.10: kernel patch 10 Oracle Solaris on SPARC (32-bit) X64: 142901-05 Obsoleted by: 142901-06 SunOS 5.10_x86: kernel patch 10 Oracle Solaris on x86 (32-bit) OR SPARC: 142909-17 SunOS 5.10: kernel patch 10 Oracle Solaris on SPARC (32-bit) X64: 142910-17 SunOS 5.10_x86: kernel patch 10 Oracle Solaris on x86 (32-bit) Ops Center 12c (initial release) and 12c Update 1 agent can also be safely used with a workaround (to be performed BEFORE installing the agent): # mkdir -p /etc/opt/sun/oc # echo "zstat_exacct_allowed=false" > /etc/opt/sun/oc/zstat.conf # chmod 755 /etc/opt/sun /etc/opt/sun/oc # chmod 644 /etc/opt/sun/oc/zstat.conf # chown -Rh root:sys /etc/opt/sun/oc NOTE: Remove the above after patching the OS sufficiently, or after upgrading to the 12c Update 2 agent Using Ops Center to apply Live Upgrade-related Pre-Patches (Solaris 10)Overview: Create an OS Update Profile containing the minimum LU-related pre-patches, based on the Solaris Live Upgrade Software Patch Requirements, previously mentioned. SIMULATE the deployment of the LU-related pre-patches Observe whether any of the LU-related pre-patches will require a reboot The job details for each Global Zone will advise whether a reboot step will be required ACTUALLY deploy the LU-related pre-patches, according to your change control process (e.g. if no reboot, maybe okay to do now; vs. must do later because of the reboot). You can schedule the job to occur later, during a maintenance window Check the job status for each node, resolving any issues found Once the LU-related pre-patches are applied, you can Ops Center to patch using Live Upgrade on Solaris 10 Using Ops Center to patch Solaris 10 with LU/ABE's -- the GOODS!(this is the heart of the tip): Create an OS Update Profile containing the patches that make up your standard build Use Solaris Baselines when possible Add other individual patches as needed ACTUALLY deploy the OS Update Profile Specify the appropriate Live Upgrade options, e.g. Synchronize the active BE to the alternate BE before patching Do not activate the BE after patching Check the job status for each node, resolving any issues found Activate the newly patched BE according to your change control process Activate = Reboot to the ABE, making the ABE the new active BE Ops Center does not separate LU activate from reboot, so expect a reboot! Check the job status for each node, resolving any issues found Examples (w/Screenshots) Solaris 10 and Live Upgrade: Auto-Create the Alternate Boot Environment (ZFS root only) ABE to be created on ZFS with name S10_12_07REC (Example) Uses built in feature to call “lucreate -n S10_12_07REC” behind scenes if not already present NOTE: Leave “lucreate” params blank (if you do specify options, the will be appended after -n $ABEName) Solaris 10 and Live Upgrade: Alternate Boot Environment Creation via Operational Profile (script) The Alternate Boot Environment is to be created via custom, user-supplied script, which does whatever is needed for the system where Live Upgrade will be used. Operational Profile, which provides the script to create an ABE: Very similar to the automatic case, but with a Script (Operational Profile), which is used to create the ABE Relies on user-supplied script in the form of an Operational Profile Could be used to prepare an ABE based on a UFS root in a slice, or on a separate device (e.g. by breaking a mirror first) – it is up to the script author to do the right thing! EXAMPLE: Same result as the ZFS case, but illustrating the Operational Profile (e.g. script) approach to call: # lucreate -n S10_1207REC NOTE: OC special variable is $ABEName Boot Environment Profile, which references the Operational Profile Script = Operational Profile on this screen Refers to Operational Profile shown in the previous section The user-supplied S10_Create_BE Operational Profile will be run The Operational Profile must send a non-zero exit code if there is a problem (so that the OS Update job will not proceed) Solaris 10 OS Update Profile (to provide the actual patch specifications) Solaris 10 Baseline “Recommended” chosen for “Install” Solaris 10 OS Update Plan (two-steps in this case) “Create a Boot Environment” + “Update OS” are chosen. Using Ops Center to patch Solaris 11 with Boot Environments (as needed) Create a Solaris 11 OS Update Profile containing the packages that make up your standard build ACTUALLY deploy the Solaris 11 OS Update Profile BE will be created if needed (or you can stipulate no BE) BE name will be auto-generated (if needed), or you may specify a BE name Check the job status for each node, resolving any issues found Check if a BE was created; if so, activate the new BE Activate = Reboot to the BE, making the new BE the active BE Ops Center does not separate BE activate from reboot NOTE: Not every Solaris 11 OS Update will require a new BE, so a reboot may not be necessary. Solaris 11: Auto BE Create (as Needed -- let Ops Center decide) BE to be created as needed BE to be named automatically Reboot (if necessary) deferred to separate step Solaris 11: OS Profile Solaris 11 “entire” chosen for a particular SRU Solaris 11: OS Update Plan (w/BE)  “Create a Boot Environment” + “Update OS” are chosen. Summary: Solaris 10 Live Upgrade, Alternate Boot Environments, and their equivalents on Solaris 11 can be very powerful tools to help minimize the downtime associated with updating your servers.  For very old Solaris, there are some important prerequisites to adhere to, but once the initial preparation is complete, Live Upgrade can be used going forward.  For Solaris 11, the built-in Boot Environment handling is leveraged directly by the Image Packaging System, and the result is a much more straight forward way to patch, and far fewer prerequisites to satisfy in getting there.  Ops Center simplifies using either approach, and helps you improve consistency from system to system, which ultimately helps you improve the overall up-time across all the Solaris systems in your environment. Please let us know what you think?  Until next time...\Leon-- Leon Shaner | Senior IT/Product ArchitectSystems Management | Ops Center Engineering @ Oracle The views expressed on this [blog; Web site] are my own and do not necessarily reflect the views of Oracle. For more information, please go to Oracle Enterprise Manager  web page or  follow us at :  Twitter | Facebook | YouTube | Linkedin | Newsletter

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  • Mouse pointer strange problem...

    - by Paska
    Hi all, i have last ubuntu installed (10.10), but from an year and thousand updates, video drivers updates, an hundreds of tricks, the mouse pointer is showed like an UGLY square... These are the screenshots: First Second I have no idea what to do to solve this problem. Anyone of you have an idea to solve it? Edit: this problem was encountered from 8.10+! Edit 2, Video card specifications: paska@ubuntu:~$ hwinfo --gfxcard 35: PCI 100.0: 0300 VGA compatible controller (VGA) [Created at pci.318] UDI: /org/freedesktop/Hal/devices/pci_1106_3230 Unique ID: VCu0.QX54AGQKWeE Parent ID: vSkL.CP+qXDDqow8 SysFS ID: /devices/pci0000:00/0000:00:01.0/0000:01:00.0 SysFS BusID: 0000:01:00.0 Hardware Class: graphics card Model: "VIA K8M890CE/K8N890CE [Chrome 9]" Vendor: pci 0x1106 "VIA Technologies, Inc." Device: pci 0x3230 "K8M890CE/K8N890CE [Chrome 9]" SubVendor: pci 0x1043 "ASUSTeK Computer Inc." SubDevice: pci 0x81b5 Revision: 0x11 Memory Range: 0xd0000000-0xdfffffff (rw,prefetchable) Memory Range: 0xfa000000-0xfaffffff (rw,non-prefetchable) Memory Range: 0xfbcf0000-0xfbcfffff (ro,prefetchable,disabled) IRQ: 16 (10026 events) I/O Ports: 0x3c0-0x3df (rw) Module Alias: "pci:v00001106d00003230sv00001043sd000081B5bc03sc00i00" Driver Info #0: Driver Status: viafb is not active Driver Activation Cmd: "modprobe viafb" Config Status: cfg=new, avail=yes, need=no, active=unknown Attached to: #17 (PCI bridge) Primary display adapter: #35 paska@ubuntu:~$ thanks, A

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  • Is my PC Good enough [closed]

    - by Moinak Nath
    I'm getting a new laptop this Christmas and I was wondering if it's good enough for what I do. I'll be playing games like Need for Speed: Most Wanted (2012) and other NFS games. Also silent hunter and flight sim. I also browse the internet download stuff like, watch movies occasionally type documents with word, edit videos, and transfer files. To be more specific is the hdd big enough? is the ram big enough? Is the graphics card good? is the cpu speed enough, and is Windows windows 8 good for all these things. i also video chat so these are the specs 2.2 Ghz Intel Pentium B960 Dual Core 4 GB RAM 320 GB HDD Intel HD Graphics 720p Webcam 4 USB Ports (2 USB 3.0 @ 2 USB 2.0) HDMI Port It Is a Lenovo IdeaPad This is the one im Looking at http://www.bestbuy.com/site/Lenovo+-+IdeaPad+15.6%26%2334%3B+Laptop+-+4GB+Memory+-+320GB+Hard+Drive+-+Black/6851264.p?id=1218809260330&skuId=6851264#tab=specifications

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  • Product application - is it a product or product variation

    - by jamesnov
    I'm dealing with a lot of vehicle specific products, and I've been trying to determine whether to convert the variants/fit option into individual products. I currently put the vehicle specific items under a product: Product: Widget Hood Deflectors Option1: 07-11 Silverado/Sierra, SKU1 Option2: 09-11 Ram, SKU2 etc. Take a hood/bug deflector for example. They all share the same description, and specifications for the most part. They look very similar, but the shape/appearance could vary significantly depending on the vehicle it is going on. Another example could be a suspension lift kit. Each one is engineered for a specific vehicle application. What would be the product "Widget Super Duper 4 inch lift kit", or "Widget Jeep 07-11 Super Duper 4 inch lift kit"? If I converted the variants to a product, then I have a lot more products (some so called products or product lines have hundreds of applications), when no vehicle is selected, but if I require a vehicle to be selected, then the product results would be basically the same, and specific for that vehicle. The description would also be longer: Product: Widget Silverado/Sierra 07-11 Hood Deflector With the fit as a variants/option, then I have fewer products, but I could have a huge list of options. Product: Widget Hood Deflectors Options: Fit/Vehicle Am I doing things right by having product applications as variants, or am I treating a product line as a product?

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  • Converting Future Composer FC14 tracker music to MIDI data

    - by okw
    I have an old .FC music file from the Amiga/C64 days. It was made using Future Composer. The first four bytes of the file read as FC14 in ASCII; I'm pretty sure that's the version number. I need to dump the channels and their notes into a standard MIDI file in order to play it through my MIDI devices. Is there a way to do this with existing programs? If not, are there any specifications available on the format of these files? I do not require the samples, and I am aware that they will be lost during the conversion process.

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  • Intel Core i5-2467m - Turbo Boost not activating?

    - by Trevor Sullivan
    I have a Samsung Series 5 laptop with an Intel Core i5-2467m process @ 1.6Ghz. The processor supports Intel Turbo Boost up to 2.30 Ghz according to the specifications. The i5-2467m is a dual-core process with HyperThreading, so there is a total of four (4) virtual cores in Windows 7 SP1. http://ark.intel.com/products/56858/ I've installed the Intel Turbo Boost Technology Monitor v2.6 to monitor if Turbo Boost is enabled, and set it to "Always On Top." I followed this process to max out the CPU: Open (4x) PowerShell instances Set each instance's affinity to a distinct CPU vCore Ran this code in each instance: while (1 -eq 1) { } Unfortunately, after maxing out all 4 cores, my laptop got hot, but Turbo Boost never kicked in. Any ideas on how to ensure that I'm getting the 2.3Ghz Turbo Boost capability of my laptop?

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  • Jack of all trades, master of none [closed]

    - by Rope
    I've got a question similar to this one: Is looking for code examples constantly a sign of a bad developer? though not entirely. I got off college 2 years ago and I'm currently struggling with a University study. Most likely I'll have to drop out and start working within the next couple of months. Now here's the pickle. I have no speciality what so ever. When I got out of college I had worked with C, C++ and Java. I had had an internship at NEC-Philips and got familiar with C# (.NET) and I taught myself how it worked. After college I started working with PHP, HTML,SQL, MySQL Javascript and Jquery. I'm currently teaching myself Ruby on Rails and thus Ruby. At my university I also got familiar with MATLAB. As you can see I've got a broad scope of languages and frameworks I'm familiar with, but none I know inside-out. So I guess this kinda applies to me: "Jack of all trades, master of none.". I've been looking for jobs and I've noticed that most of them require some years of experience with a certain language and some specifications that apply to that language. My question is: How do I pick a speciality? And how do I know if I'll actually enjoy it? As I've worked with loads of languages how would I be able to tell this is right for me? I don't like being tied down to a specific role and I quite like being a generalist. But in order to make more money I would need a specialisation. How would I pick something that goes against my nature? Thanks in advance, Rope.

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