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  • How to avoid email reply from my web site being marked as spam? [closed]

    - by Eric
    Possible Duplicate: How could I prevent my mail from being recognized as spam? Here's the situation: Customer fills out inquiry form on web site That inquiry goes to person X Person X goes to my web site (mysite.com) and presses some keys and the customer gets an email from [email protected] Here's my question: how can I be sure the email from [email protected] always gets through to the customer? Can I help it along by using SPF or some other secure email framework/solution? Thank you-- E

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  • Difference between "Data Binding'","Data Hiding","Data Wraping" and "Encapsulation"?

    - by krishna Chandra
    I have been studying the conpects of Object oriented programming. Still I am not able to distinguish between the following concepts of object oriented programming.. a) Data Binding b) Data Hiding c) Data Wrapping d) encapsulation e) Data Abstraction I have gone through a lot of books ,and I also search the difference in google. but still I am not able to make the difference between these? Could anyone please help me ?

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  • Places to Get Free SEO Links

    SEO links will increase your overall page rank with Google and improve your placement in all of the major search engines. Building up quality SEO links also helps to build up your link popularity and thus your website traffic should begin to improve.

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  • Pressure Washer vs Power Washer

    We all know (or at least suspect) that "pressure" and "power" can be used interchangeably with respect to high-pressure cleaning equipment and services, but which one is more commonly used? This knowledge can be relevant to businesses for their online marketing campaigns and to consumers in their search for information.

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  • Why&rsquo;s Poignant Guide To Ruby

    - by Liam McLennan
    According to Wikipedia, “why the lucky stiff was the persona of an anonymous, but prolific writer, cartoonist, musician, artist, and computer programmer”. He looks a bit like Jack Black. His book, Why’s Poignant Guide to Ruby, is a classic, though it can be hard to find since Why disappeared. If you want to learn the Ruby programming language I highly recommend Why’s Poignant Guide to Ruby. I am including a link here so that others who search for it may find it more easily.

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  • Using a Keyword Tool

    In your bid to become a world class Online Marketing Entrepreneur, you will no doubt decide at some stage to use the powerful services of Google or another search engine. Central to your success with these services will be your ability to identify good words for your ad campaigns.

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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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  • Bad Effects From Bad Neighbors

    There are websites who make use of ethical SEO but still don't reach the top positions of the search engine results. The main reason why this situation happens can be chosen from the three: sandbox effect, over optimization or bad neighborhood.

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  • Blog Commenting - Is it Really Useful in SEO?

    The easy answer to the question is, yes, blog commenting is incredibly useful as pertains to your internet search engine optimization. The relevant question is how is it useful? Furthermore, how can you make sure that anyone commenting on a blog that is related to a service that you provide give you the traffic you deserve?

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  • Why do I get a "the location is not a folder" error when trying to open files using Dash or Synapse?

    - by Christian Howd
    Within the last few days, I've encountered errors when trying to open files using Unity Dash, Synapse, or even the Gnome Search Tool. These methods will let me launch applications and folders, but not files of any time, including mp3, doc, odt, and txt. With any method, the same error dialogue results: "the location is not a folder". Is there something I can do on my end to correct this, or is this a bug in Natty that is still being corrected?

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  • SEO, Social Media & Skinny Jeans

    No longer is social media just the "cool thing" to do - like rocking an 80's inspired flat top hairdo in 2010. Social networking now has a definitive effect on your SEO efforts, and as such, it must be monitored closely. While previous social networking efforts were generally tied to connecting with a business's customer base, Google is now including real-time social media into their search results - resulting in increased (and practically effortless) SEO opportunities.

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  • Is verification and validation part of testing process?

    - by user970696
    Based on many sources I do not believe the simple definition that aim of testing is to find as many bugs as possible - we test to ensure that it works or that it does not. E.g. followint are goals of testing form ISTQB: Determine that (software products) satisfy specified requirements ( I think its verificication) Demonstrate that (software products) are fit for purpose (I think that is validation) Detect defects I would agree that testing is verification, validation and defect detection. Is that correct?

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  • Developing for 2005 using VS2008!

    - by Vincent Grondin
    I joined a fairly large project recently and it has a particularity… Once finished, everything has to be sent to the client under VS2005 using VB.Net and can target either framework 2.0 or 3.0… A long time ago, the decision to use VS2008 and to target framework 3.0 was taken but people knew they would need to establish a few rules to ensure that each dev would use VS2008 as if it was VS2005… Why is that so? Well simply because the compiler in VS2005 is different from the compiler inside VS2008…  I thought it might be a good idea to note the things that you cannot use in VS2008 if you plan on going back to VS2005. Who knows, this might save someone the headache of going over all their code to fix errors… -        Do not use LinQ keywords (from, in, select, orderby…).   -        Do not use LinQ standard operators under the form of extension methods.   -        Do not use type inference (in VB.Net you can switch it OFF in each project properties). o   This means you cannot use XML Literals.   -        Do not use nullable types under the following declarative form:    Dim myInt as Integer? But using:   Dim myInt as Nullable(Of Integer)     is perfectly fine.   -        Do not test nullable types with     Is Nothing    use    myInt.HasValue     instead.   -        Do not use Lambda expressions (there is no Lambda statements in VB9) so you cannot use the keyword “Function”.   -        Pay attention not to use relaxed delegates because this one is easy to miss in VS2008   -        Do not use Object Initializers   -        Do not use the “ternary If operator” … not the IIf method but this one     If(confition, truepart, falsepart).   As a side note, I talked about not using LinQ keyword nor the extension methods but, this doesn’t mean not to use LinQ in this scenario. LinQ is perfectly accessible from inside VS2005. All you need to do is reference System.Core, use namespace System.Linq and use class “Enumerable” as a helper class… This is one of the many classes containing various methods that VS2008 sees as extensions. The trick is you can use them too! Simply remember that the first parameter of the method is the object you want to query on and then pass in the other parameters needed… That’s pretty much all I see but I could have missed a few… If you know other things that are specific to the VS2008 compiler and which do not work under VS2005, feel free to leave a comment and I’ll modify my list accordingly (and notify our team here…) ! Happy coding all!

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  • How do I mount Samba share as non-root user

    - by Android Eve
    Is there a step-by-step tutorial that instructs in detailed step-by-step how to smbmount a Samba share to be used by a non-root user on a Ubuntu 10.04 desktop? Note: there are numerous threads on Google search dealing with this seemingly new problem. Instructions that used to work on Ubuntu 8.04 (or an older version of smbfs) no longer work. I need something fresh, punctual and especially reproducible. Thanks.

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  • What does it mean to treat data as an asset?

    What does it mean to treat data as an asset? When considering this concept, we must define what data is and how it can be considered an asset. Data can easily be defined as a collection of stored truths that are open to interpretation and manipulation.  Expanding on this definition, data can be viewed as a set of captured facts, measurements, and ideas used to make decisions. Furthermore, InvestorsWords.com defines asset as any item of economic value owned by an individual or corporation. Now let’s apply this definition of asset to our definition of data, and ask the following question. Can facts, measurements and ideas be items that are of economic value owned by an individual or corporation? The obvious answer is yes; data can be bought and sold like commodities or analyzed to make smarter business decisions.  We can look at the economic value of data in one of two ways. First, data can be sold as a commodity that can take the form of goods like eBooks, Training, Music, Movies, and so on. Customers are willing to pay to gain access to this data for their consumption. This directly implies that there is an economic value for data in the form of a commodity because customers see a value in obtaining it.  Secondly data can be used in making smarter business decisions that allow for companies to become more profitable and/or reduce their potential for risk in regards to how they operate.  In the past I have worked at companies where we had to analyze previous sales activities in conjunction with current activities to determine how the company was preforming for the quarter.  In addition trends can be formulated based on existing data that allow companies to forecast data so that they can make strategic business decisions based sound forecasted data. Companies that truly value their data are constantly trying to grow and upgrade their data and supporting applications because it is the life blood of a company. If we look at an eBook retailer for example, imagine if they lost all of their data. They would be in essence forced out of business because they would have nothing to sell. In turn, if we look at a company that was using data to facilitate better decision making processes and they lost all of their data then they could be losing potential revenue and/ or increasing the company’s losses by making important business decisions virtually in the dark compared to when they were made on solid data.

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  • Oracle Index Skip Scan

    - by jchang
    There is a feature, called index skip scan that has been in Oracle since version 9i. When I across this, it seemed like a very clever trick, but not a critical capability. More recently, I have been advocating DW on SSD in approrpiate situations, and I am thinking this is now a valuable feature in keeping the number of nonclustered indexes to a minimum. Briefly, suppose we have an index with key columns: Col1 , Col2 , in that order. Obviously, a query with a search argument (SARG) on Col1 can use...(read more)

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  • The 4 'P's of SEO

    Search engine optimization (SEO) and its role in building a successful online business is about the 4 'P's. Passion, personal relationships, process and persistence. Like everything in life, rewards follow process and persistence. But those alone will not work without good personal relationships which build trust, and passion which is really about caring about what you are offering and to whom you are offering it.

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