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Rollback of the first transaction could bring other transactions down with it or perhaps even cause them to leave the database in an inconsistent state It s possible that changes made by a transaction that ends up being rolled back could be committed anyway, because they could be read and then propagated by another transaction that is successful! Second, most applications don t need serializable isolation (phantom reads aren t usually a problem), and this isolation level tends to scale poorly Few existing applications use serializable isolation in production; rather, they use pessimistic locks (see section 618), which effectively force a serialized execution of operations in certain situations This leaves you a choice between read committed and repeatable read Let s first consider repeatable read.

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This isolation level eliminates the possibility that one transaction could overwrite changes made by another concurrent transaction (the second lost updates problem) if all data access is performed in a single atomic database transaction This is an important issue, but using repeatable read isn t the only way to resolve it Let s assume you re using versioned data, something that NHibernate can do for you automatically The combination of the (mandatory) NHibernate first-level session cache and versioning already gives you most of the features of repeatable-read isolation In particular, versioning prevents the second lost update problem, and the firstlevel session cache ensures that the state of the persistent instances loaded by one transaction is isolated from changes made by other transactions Thus read-committed isolation for all database transactions is acceptable if you use versioned data.

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Repeatable read provides a bit more reproducibility for query result sets (only for the duration of the database transaction); but because phantom reads are still possible, there isn t much value in that (It s also not common for web applications to query the same table twice in a single database transaction) You also have to consider the (optional) second-level NHibernate cache It can provide the same transaction isolation as the underlying database transaction, but it may even weaken isolation If you re heavily using a cache-concurrency strategy for the second-level cache that doesn t preserve repeatable-read semantics (for example,.

The names of all items on the server reports, linked reports, and data sources appear. You can see the item description, if one has been specified; the item type; the path to the item from the root folder; and the modification date (which is equivalent to the creation date when no subsequent modifications have been made to the item). 25. Type sales in the textbox, and then click Find Items By Name.

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the read-write and especially the nonstrict-read-write strategies, both discussed later in this chapter), the choice for a default isolation level is easy: you can t achieve repeatable read anyway, so there s no point slowing down the database. On the other hand, you may not be using second-level caching for critical classes, or you may be using a fully transactional cache that provides repeatable-read isolation. Should you use repeatable read in this case You can if you like, but it s probably not worth the performance cost. Setting the transaction isolation level allows you to choose a good default locking strategy for all your database transactions. How do you set the isolation level

Every ADO.NET connection to a database uses the database s default isolation level usually read committed or repeatable read. This default can be changed in the database configuration. You may also set the transaction isolation for ADO.NET connections using an NHibernate configuration option:

17:

from a connection pool before starting a transaction. Some of the sensible values for this option are as follow (you can also find them in System.Data.IsolationLevel):

ReadUncommitted Read-uncommitted isolation ReadCommitted Read-committed isolation RepeatableRead Repeatable-read isolation Serializable Serializable isolation

In 1, I suggested ordering questions by writing them on index cards That s a useful practice as you determine which questions to ask and in which order to ask them But after you have established the questions and their order, transfer the list to a handsome leather-bound notebook Whipping out a set of index cards sends the wrong message Plus there s always the risk of the index cards slipping out of your hand and flying all over the place One of the reasons for having a notebook in the interview is that you will think of questions to ask the interviewer Perhaps the interviewer is talking about a new product that the company is about to launch You

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