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Lesson 1: Connecting to Data with Data Source Controls
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< xml version="1.0" encoding="UTF-8" standalone="yes" > <assembly xmlns="urn:schemas-microsoft-com:asm.v1" manifestVersion="1.0"> <assemblyIdentity version="" name="" /> <trustInfo xmlns="urn:schemas-microsoft-com:asm.v2"> <security> <requestedPrivileges xmlns="urn:schemas-microsoft-com:asm.v3"> <requestedExecutionLevel level="asInvoker" uiAccess="false"/> </requestedPrivileges> </security> </trustInfo> </assembly>
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Groups activities and speci es the agents that the activities can be executed on. This is discussed in more detail in the section Build Controllers. Links the build to the changesets and work items it includes. Checks-in changes in the shelveset associated with the build. This is discussed in more detail in the section Gated Check-in.
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and columns is a matter of indexing into the table using ordinal indexes for the rows and ordinal or String-type indexes for the columns . Listing 10-8 shows an example of using the SqlDataAdapter to get a DataSet .
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Use of the True and False constants makes the intent clearer. You don t have to remember what 1 and 0 represent, and you won t accidentally reverse them. Moreover, in the rewritten code, it s now clear that some of the 1s and 0s in the original Visual Basic example weren t being used as boolean flags. The If reportSelected = 1 line was not a boolean test at all; it tested whether the first report had been selected. This approach tells the reader that you re making a boolean test; it s harder to write True when you mean False than it is to write 1 when you mean 0, and you avoid spreading the magic numbers 0 and 1 throughout your code. Here are some tips on defining True and False in boolean tests:
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Data Collector Set templates are stored as XML les, and you can import them directly from a local hard drive or from a network drive. To import a Data Collector Set template, run the Create New Data Collector Set Wizard and click Browse when asked which template you d like to use. Browse to the location of the XML le you want to use, select it, and click Open.
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First, you create the Pet class and define the name, age, gender, and color attributes available to Pet objects. Next, you define the Cat, Dog, and Snake classes that inherit from the Pet class (the < operator, in this case, denotes which class is inherited from). This means that cat, dog, and snake objects will all have the name, age, gender, and color attributes, but because the functionality of these attributes is inherited from the Pet class, the functionality doesn t have to be created specifically in each class. This makes the code easier to maintain and update if you wanted to store more information about the pets, or if you wanted to add another type of animal. What about attributes that aren t relevant to every animal What if you wanted to store the length of snakes, but didn t want to store the length of dogs or cats Luckily, inheritance gives you lots of benefits with no downside. You can still add class-specific code wherever you want. Reenter the Snake class like so: class Snake < Pet attr_accessor :length end The Snake class now has a length attribute. However, this is added to the attributes Snake has inherited from Pet, so Snake has name, age, gender, color, and length attributes, whereas Cat and Dog only have the first four attributes. You can test this like so (some output lines have been removed for clarity): irb(main):001:0> irb(main):002:0> irb(main):003:0> irb(main):004:0> irb(main):005:0> irb(main):006:0> irb(main):007:0> snake = = "Sammy" snake.length = 500 lassie = = "Lassie" lassie.age = 20 lassie.length = 10
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concepts. The first from WebTV was the concept of service groups. Service groups are units of production that function largely independently of each other. A service group is a unit of production scale as well as a unit of deployment for the next upgrade. Service groups also provide buffers from site-wide outages. If a single service group goes down for some reason, it should in theory not affect the other service groups. The second concept was field replaceable units (FRUs) from Hotmail. They would brag, and justifiably so, about the number of computers they had in production and how cheap they were. These computers quite literally were motherboards with a hard drive and power stuck on a flat tray. Computers ran much cooler and at lower power back then, so the central air-conditioning of the datacenter was sufficient to keep the machines cool without any cases to cover or direct the airflow. Inside Microsoft, the concept of service groups evolved into the scale group concept that retains the notion of service segmentation but also includes purchasing increased capacity as a single large order. Field replaceable units have become known as commodity hardware to emphasize buying large numbers of inexpensive servers. Although these concepts are still in use, they are being challenged by a vastly higher rate of growth than we have ever seen before. Microsoft now adds an average of 10,000 computers a month to our datacenters just to meet the growing demands of the users of our services. Even scale units and commodity hardware are insufficient to deal with that level of purchasing and production installation. A few years ago, we started purchasing servers in what we called rack units or rack SKUs. These were tall racks fully loaded with servers. Roll the rack off the delivery truck into the datacenter, hook up all the cables on the back side, power it up, and off you went. That innovation dramatically improved the efficiency of our procurement and installation pipeline. Unbelievably, rack units are no longer fast enough. Walking the Talk: Microsoft Builds First Major Container-Based Datacenter Containers filled with preconfigured, ready-to-run servers are being touted as a quicker, more modular way to expand datacenters on the fly Microsoft and Sun Microsystems both may claim to have pioneered the 'datacenter in a box' concept, but Microsoft appears to be the first company that is rolling out container-based systems in a major way inside one of its datacenters." [3] Recently, we built out an entire datacenter based upon the concept of the container. A container SKU is a fully loaded and production-ready cargo container that can be shipped on a truck or a train, as shown in Figure 14-1, hoisted off the flatbed with a crane, and positioned on the floor of the datacenter. A few massive cable bundles come out of various panels; when they are plugged in, suddenly there are hundreds of servers ready for production use. Years later when the servers are starting to fail at a high rate, the container is taken out of production, shipped back to the manufacturer, re-cycled, and updated with new equipment.
As you can see, you get back query signatures, which you can use to aggregate the trace data. Keep in mind, though, that query strings can get lengthy, and grouping the data by lengthy strings is slow and expensive. Instead, you might prefer to generate an integer checksum for each query string by using the T-SQL CHECKSUM function. For example, the following query generates a checksum value for each query string from the Workload table:
When you have more than a few custom entities in your system, using the same default icon for all of the custom entities diminishes the aesthetic benefit of icons and might cause confusion with your users. Fortunately, you can upload your own icons for each custom entity. We highly recommend that you use icons for each custom entity in your system. You can upload three types of entity icons for each custom entity:
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