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You may have expected the optimizer to rst scan the 12 shippers from the Shippers table and then use a loop that for each shipper applies a seek operation in the index to pull the max orderdate for that shipper. Of course, without access to the optimizer s code it would be hard to tell why you didn t get the plan you expected. Fortunately, I got an explanation from Cesar Galindo-Legaria, who does have such access. It appears that this query fell victim to an attempt the optimizer made to improve the query performance, while in practice it ended up hurting it. The optimizer unnested the correlated subquery, converting it internally to a join. The reason that the optimizer applies such rearrangements is that the join form tends to be optimized better (enables better cardinality estimates and navigational strategies from both sides). However, the join form prevents the special scalar aggregate optimization over an index that we want to see here. The reason that the optimizer doesn t reintroduce the correlation (that would allow the scalar aggregate optimization) is that the exploration space explodes easily. As a result the current plan is far from ideal. This query incurred 2,736 logical reads against the Orders table and ran for close to one second on my computer. It seems that the optimizer got too sophisticated this time.



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You seem to be trying to write a byte arry from a database into a file: why is this giving you problems? If you have the bytes , just write them:.

Once connected, data can be sent to the server using the Send or SendTo method. The SendTo method is useful only for connectionless protocols, such as UDP, in which the target for the message needs to be specified. To receive data from the server, a byte array must be passed into the Receive or ReceiveFrom method, which returns the number of bytes read. When a socket is no longer required, the Shutdown method must be called, followed by Close. Shutdown specifies whether the socket I/O should be closed for reading, writing, or both, based on values contained in the SocketShutdown enumeration.

using System.Web.Profile; public partial class _Default : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { if (!this.IsPostBack) { ProfileBase profile = HttpContext.Current.Profile; string theme = (string)profile.GetPropertyValue("Theme"); this.TextBoxName.Text = (string)profile.GetPropertyValue("Name"); this.TextBoxAddress.Text = (string)profile.GetPropertyValue("Address.StreetAddress"); this.TextBoxCity.Text = (string)profile.GetPropertyValue("Address.City");





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The situation seems to be evolving into a battle of wits with the optimizer not a battle to the death, of course; there won t be any iocane powder involved here, just I/O. The optimizer pulls a trick on you; now pull your best trick. One attempt before considering a complete rewrite of the solution is to use a logically equivalent query but with the TOP option instead of MAX. The reasoning behind trying this trick is that from observations of many plans, it appears that the optimizer does not unnest subqueries when you use TOP. You issue the following query, close your eyes, and hope for the best:

SELECT shipperid, (SELECT TOP (1) orderdate FROM dbo.Orders AS O WHERE O.shipperid = S.shipperid ORDER BY orderdate DESC) AS maxod FROM dbo.Shippers AS S;

The following example demonstrates a native socket implementation of the simple time server from earlier in this chapter. A client connects, and the server writes out the current time:

And when you open your eyes, voil ! You see the plan you wished for, as shown in Figure 4-70.

this.TextBoxState.Text = (string)profile.GetPropertyValue("Address.State"); this.TextBoxZipCode.Text = (string)profile.GetPropertyValue("Address.ZipCode"); this.DropDownList1.SelectedValue = (string)profile.GetPropertyValue("Theme"); this.Calendar1.SelectedDate = (DateTime)profile.GetPropertyValue("Birthdate");

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XFINIUM. PDF library is a cross platform library for PDF development. It supports a wide set of features, ranging from simple PDF creation to form filling, content ...

The Shippers table is scanned, and for each of the 12 shippers, a Nested Loops operator invokes a similar activity to the one you got when invoking a query for a particular shipper. This plan incurs only 2 logical reads against Shippers and 36 logical reads against Orders. The net CPU time is not even measurable with STATISTICS TIME (shows up as 0), and I got about 100 milliseconds of elapsed time. You can now slightly revise the code to have the subquery in the WHERE clause and lter only the shippers with a maximum order date that is before 2004, like so (call it set-based solution 2):

Socket x_server_socket = new Socket(AddressFamily.InterNetwork, SocketType.Stream, ProtocolType.Tcp); IPHostEntry x_hostentry = Dns.Resolve(Dns.GetHostName());

SELECT shipperid FROM dbo.Shippers AS S WHERE (SELECT TOP (1) orderdate FROM dbo.Orders AS O WHERE O.shipperid = S.shipperid ORDER BY orderdate DESC) < '20040101';

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