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For instance, in many scenarios, you can get away with using linked tables or linked servers If you do have nondatabase RMs involved, or you cannot get away with wrapping up distributed transactions inside the database itself, then you could apply sanctity checks at the end of a transaction so incorrectly committed transactions can be recovered from in a nontransactional form But if that is not a suitable solution, then you should try and use the SystemTransactions namespace based transactions However, always remember to limit the scope of your transaction to as little as possible..

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11. Actually MSDTC will cause a lot of roundtrips with small payloads, and a lot of roundtrips is what really kills performance. (See Querying the Database for Multiple Result Sets in 5.) Even though MSDTC isn t querying the database, the same principles apply too many roundtrips affect

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For this example, we re going to package the id3tool mass-tagging MP3 script found in 29 into a standalone executable. This has the advantage of not needing Ruby installed on the system that is running the executable. We re going to make a small alteration to the code modifying the script so that it won t run fully when it is being compiled so we ll use the code provided in Listing 31-1 rather than the code from 29. Listing 31-1. Standalone ID3 Retagger (id3tool_rs2e.rb) require 'id3lib' require 'optparse' require 'rubyscript2exe' exit if RUBYSCRIPT2EXE.is_compiling $options = {} $options[:set]={} opt=OptionParser.new do |opts| opts.banner = "Usage: #{$0} file1 file2 file3... " opts.on("-s", "--set OPTION=VALUE", "Sets the ID3 option OPTION to VALUE.") do |options| option, value = options.split(/=/)

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Transactional features are provided by the underlying RDBMS, ADO.NET, or MSDTC. The choice between these actually depends on what you want to accomplish: RDBMS transactions offer the best performance as they only need a single roundtrip to the database. They also provide the flexibility associated with explicitly controlling the transaction boundary. The negative side to RDBMS transactions is that you also need code in T-SQL (which may be not as easy as using VB.NET or C#) and that your code is separated into two locations (in the .NET project and also on SQL Server). ADO.NET transactions are easy to code and provide the flexibility to control the transaction boundary with explicit instructions to begin and end the transaction. To achieve this ease and flexibility, a performance cost is incurred for extra roundtrips to the database to complete the transaction. MSDTC transactions will be the only choice if your transaction spans multiple transaction aware RMs, which could include more than one database, MSMQ, and so on. They greatly simplify the application design and reduce coding requirements. However, since the MSDTC service does all of the coordination work, it may have some extra performance overhead.

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Always keep in mind that a lengthy transaction that performs data modification to many different tables can effectively block the work of all other users in the system. This may cause serious performance problems. While implementing a transaction, the following practices can be followed in order to achieve acceptable results: Keep transactions as short as possible. Avoid returning data with a SELECT in the middle of a transaction, unless your statements depend on the data returned. If you use the SELECT statement, select only the rows that are required so as not to lock too many resources and to keep performance as good as possible. If your architecture permits you to do so, simply move the selects out of the transaction. Try to write transactions completely in either T-SQL or in the API. Mixing and matching will only cause confusion. Also, try and give preference to wrap transactions from the client using the API rather than T-SQL. There could be instances where you may need to wrap a transaction completely within T-SQL; if that is what you need, it is perfectly acceptable. What you want to avoid is beginning a transaction using SqlTransaction and rolling back or committing from within the stored procedure or the other way around. Avoid transactions that combine multiple, independent batches of work. Put such batches in individual transactions. Avoid large updates if at all possible. Of course this doesn t mean that you should give up transactional robustness to avoid a large update. If you can t avoid it, then don t just don t unnecessarily increase the size of your transaction as it will cause more resources to lock.