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    <p>One common mistake when using streams is to copy a byte at a time, or to use a small buffer. Most of the time it takes to write data to disk is spent seeking, so using a larger buffer will reduce your average seek time per byte.</p> <p>Operating systems write files to disk in clusters. This means that when you write a single byte to disk Windows will actually write a block between 512 bytes and 64 kb in size. You can get much better disk performance by using a buffer that is an integer multiple of 64kb.</p> <p>Additionally, you can get a boost from using a buffer that is a multiple of your CPUs underlying memory page size. For x86/x64 machines this can be set to either 4kb or 4mb.</p> <p>So you want to use an integer multiple of 4mb.</p> <p>Additionally if you use asynchronous IO you can fully take advantage of the large buffer size.</p> <pre><code>class Downloader { const int size = 4096 * 1024; ManualResetEvent done = new ManualResetEvent(false); Socket socket; Stream stream; void InternalWrite(IAsyncResult ar) { var read = socket.EndReceive(ar); if (read == size) InternalRead(); stream.Write((byte[])ar.AsyncState, 0, read); if (read != size) done.Set(); } void InternalRead() { var buffer = new byte[size]; socket.BeginReceive(buffer, 0, size, System.Net.Sockets.SocketFlags.None, InternalWrite, buffer); } public bool Save(Socket socket, Stream stream) { this.socket = socket; this.stream = stream; InternalRead(); return done.WaitOne(); } } bool Save(System.Net.Sockets.Socket socket, string filename) { using (var stream = File.OpenWrite(filename)) { var downloader = new Downloader(); return downloader.Save(socket, stream); } } </code></pre>
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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