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Inside Microsoft SQL Server 2008: T-SQL Programming
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Update conflict detected. Retry #3. Update conflict detected. Failed 3 retries.
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Don t forget to stop the activity in connection 4 when you re done . At this point, you can close all connections .
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Error handling has taken a major leap forward with the introduction of the TRY/CATCH construct . When you use TRY/CATCH your error-handling code is more structured, elegant, and traps all errors except for the most severe ones . It also provides a lot of useful information via the error-related functions . When you are using TRY/CATCH, and an error happens in an explicit transaction, your session can end up in one of three different transaction states: no transaction open, open and committable, or open and uncommittable (failed) . Remember that the failed state allows you to keep a transaction open, holding all locks, while you re investigating data . You then must roll back the transaction before making any change . I hope that future versions of SQL Server will add more error-handling features, such as throwing system errors, rethrowing errors, and autonomous transactions, to name a few .
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More Info You can find interesting information about error handling in SQL Server at Erland
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Sommarskog s Web site: www.sommarskog.se . Erland is a very active SQL Server MVP, and the subject of error handling is very close to his heart .
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Temporary Tables and Table Variables
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T-SQL programming often involves the need to materialize data temporarily . Temporary tables are just one solution; other ways for handling an independent physical or logical materialization of a set include table variables and table expressions such as views, inline user-defined functions (UDFs), derived tables, and common table expressions (CTEs) . You might need to physically persist interim states of your data for performance reasons, or just as a staging area . Examples of such scenarios include:
Materializing aggregated data to some level of granularity (for example, employee and month), and issuing running, sliding, and other statistical reports against that data Materializing a result of a query for paging purposes Materializing result sets of interim queries, and querying the materialized data Materializing the result of a query with the GROUPING SETS, CUBE and ROLLUP options, and issuing queries against that data Walking through the output of a cursor and saving information you read or calculate per row for further manipulation Pivoting data from an Open Schema environment to a more traditional form, and issuing queries against the pivoted data Creating a result set that contains a hierarchy with additional attributes such as materialized paths or levels, and issuing reports against the result Holding data that needs to be scrubbed before it can be inserted
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One of the benefits of materializing data in a temporary table is that it can be more compact than the base data, with preprocessed calculations, and you can index it when it might be inefficient or impractical to index all the base data . In terms of performance, you typically benefit from materializing the data when you need to access it multiple times, but in some cases, even when all you have is a single query against the data, you benefit . You might also need to materialize interim sets logically in virtual temporary tables (table expressions) to develop solutions in a modular approach . I ll show examples in this chapter that address this need as well . Either way, there are many cases in which using temporary tables, table variables, or table expressions can be useful .
Inside Microsoft SQL Server 2008: T-SQL Programming
There s a lot of confusion around choosing the appropriate type of temporary object for a given task, and there are many myths regarding the differences between temporary tables and table variables . Furthermore, temporary tables and table variables are often misused because of lack of knowledge of efficient set-based programming . In this chapter, I will try to provide you with a clear picture of how the different temporary object types behave, in which circumstances you should use each, and whether you should use them at all . At the end of the chapter, I ll provide a summary table (Table 7-1) that contrasts and compares the different types . This table covers the factors you should take into consideration before making your choice .
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