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You have learned by now that Service Broker dialogs are reliable, persistent conversations . In this section, I ll discuss how reliability and persistence are implemented . The state that Service Broker maintains about a conversation is visible in the sys.conversation_endpoints view . To ensure reliable, exactly-once-in-order delivery, Service Broker must keep track of what messages it has received from the network . Because dialog messages must be in order, Service Broker doesn t have to keep a list of all the messages it has received . It is enough to keep track of the highest numbered message received successfully on the conversation . The receive_sequence column is the sequence number of the next message expected on this conversation . Large Service Broker messages might be sent as a number of smaller message fragments . Each fragment is tracked and acknowledged so that the whole message doesn t have to be re-sent in the event of an error . The receive_sequence_frag column tracks the fragment number of the last fragment received . Note that if a fragment or message is received out of order, it is not thrown away . It is retained so that it doesn t have to be received again, but the receive_sequence and receive_sequence_frag values are not updated until all the missing fragments have been received . The send_sequence column tracks the sequence numbers of messages sent so that the dialog knows which sequence number to assign to the next message . Note The actual sequence number stored is not the sequence number of the last message or

In the solution for this problem, I'll make first use of a very important key techniquegenerating duplicate rows using an auxiliary table of numbers. More accurately, the technique generates sequentially numbered copies of each row, but for simplicity's sake, I'll refer to it throughout the book as "generating duplicates." I'll explain the concept of the auxiliary table of numbers and how to create one later in the chapter in the section "Auxiliary Table of Numbers." For now, simply run the code in Listing 4-8, which creates the Nums table and populates it with the 1,000,000 integers in the range 1 <= n <= 1,000,000. The technique that I'm talking about is "generating duplicates" or "expanding" the number of rows. For example, given a table T1, say you want to generate 5 copies of each row. To achieve this, you can use the Nums table as follows: SELECT ... FROM dbo.T1, dbo.Nums WHERE n <= 5;

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DROP TABLE dbo.RoadPaths;

fragment received or sent, but rather the next sequence number expected . For example, when message 4 has been received successfully, the receive_sequence column will contain 5 because that is the next sequence expected . Because of this, when a message is received, its sequence number is compared to the receive_sequence column . If the numbers match, the message is marked as received and the receive_sequence is incremented . Similarly, when a message is sent, the value in the send_sequence column is used as its sequence number and the column is incremented after the message is sent .

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I will provide more details on the "generating duplicates" technique and its uses in 5. Going back to our original problem, you're supposed to generate row numbers for the rows of T1, based on col1 order. The first step in the solution is "collapsing" the rows by grouping them by col1. For each group, you return the number of duplicates (a count of rows in the group). You also return, using a subquery, the number of rows in the base table that have a smaller sort value. Here's the query that accomplishes the first step, and its output is shown in Table 4-24: SELECT col1, COUNT(*) AS dups, (SELECT COUNT(*) FROM dbo.T1 AS B WHERE B.col1 < A.col1) AS smaller FROM dbo.T1 AS A GROUP BY col1;

The service_id column identifies the service associated with this conversation endpoint . You can join with the sys.services view to find the name of the service . The far_service column gives the name of the service at the opposite endpoint of this conversation . This is a name

This chapter covered the treatment of graphs, trees, and hierarchies I presented iterative/ recursive solutions for graphs and also solutions in which you materialize information describing a tree The main advantage of the iterative/recursive solutions is that you don t need to materialize and maintain any additional attributes the graph manipulation is based on the stored edge attributes The materialized path solution materializes an enumerated path and possibly also the level for each node in the tree You can either maintain your own custom materialized path or use SQL Server 2008 s built-in HIERARCHYID data type In the materialized path solution, the maintenance of the additional information is not very expensive, and you bene t from simple and fast set-based queries The nested sets solution materializes left and right values representing set containment relationships and possibly the level in the tree.

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