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Custom pipelines are divided into receive and send pipelines. Both types of pipelines have stages unique to either sending or receiving messages. Each stage of the pipeline has the ability to contain multiple pipeline components that are designed to be executed within that particular stage. For example, a receive pipeline may have several components within the Decode stage. The components will execute sequentially from the first to last within the stage. In the case of stages with multiple components, the output of one component will be used as the input for the next. The exceptions to this rule are Disassembler components. These types of components execute on a first match rule: the rule states that the first component in the Disassemble stage that is able to process the message will be chosen to execute. The remaining components in the stage are then ignored, and processing continues with the next stage in the pipeline.

Tip For security purposes, connecting up to your database through SQL Server Management Studio is only specifically allowed by setting Firewall Settings, such those shown in the tab in Figure 9 19. Determine which IP address or ranges of IP addresses you want to enable to connect up to your Azure databases, and enter the rules in on the Firewall Settings Page.

NOTE A limitation when mounting images is that ImageX will happily mount a .wim file with both read and write on an NTFS file system, whereas images mounted on FAT, ISO, and UDF file systems will be read-only. By inference, you cannot alter a read-only image mounting.

Receive pipelines have specific stages that help in processing the message in a logical fashion. The surface of the Pipeline Designer is shown in Figure 4-1. Each of the stages of the pipeline is designed to perform a specific task:

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For a full list of command-line options and switches available for ImageX and other associated deployment tools, see the Windows Automated Installation Kit User s Guide (part of the Windows AIK download).

To upload or migrate data to SQL Azure, first you create the data in a local SQL Server database. An overview of the data that I created in the database AzureTest for this example can be seen in Figure 9 16.

Decode: This stage is used to perform operations that are required to read the incoming message. Think of the Decode stage as where you would perform things like decryption, decompression, and any processing logic that will be required as input data for the subsequent stages. Disassemble: Components tagged as Disassemblers are designed to produce multiple messages based on the input message. Disassemblers often are used to de-batch the incoming messages into multiple smaller messages. Each of the messages produced by the Disassembler are then passed to the remaining stages within the pipeline. Validate: This stage is used to ensure the message that has been decoded and potentially produced by the Disassembler is considered to be valid according to the pipeline rules. Often this involves verifying the XML schema of the message to be of a certain type. Custom validators are often created for custom business-level validation logic (i.e., ensuring that the purchase order number of an incoming message is valid and exists within a database). Resolve Party: This stage is used often in trading partner exchange scenarios. This stage is usually used to examine the digital certificates of a signed message to ensure the validity of the sending party.

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