qr code vcard generator javascript Transactions and persistence context propagation in Java

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Transactions and persistence context propagation
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There are some transaction propagation rules to consider when invoking on multiple different EJBs within the same transaction that use entity managers. Here is a detailed list of persistence context-propagation rules: When a transaction-scoped entity manager is invoked outside the scope of a transaction, it creates a persistence context for the duration of that method call. After the method call completes, any managed objects produced by the call are immediately detached. If a transaction-scoped entity manager is invoked from within a transaction, a new persistence context is created (if there isn t one already) and associated with that transaction. If an entity manager is invoked upon and a persistence context is already associated with the transaction, use that persistence context. The persistence context is propagated between EJB invocations in the same transaction. This means that if an EJB interacts with an injected entity manager within a transaction and then invokes on another EJB within that same transaction, that EJB call will use the same enlisted persistence context. If an EJB with a transaction-scoped persistence context invokes on a stateful session bean that uses an extended persistence context, an error is thrown.
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* Not all EJB servers support distributed transactions.
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If a stateful session bean with an extended persistence context calls another EJB that has injected a transaction-scoped persistence context, the extended persistence context is propagated. If an EJB calls another EJB with a different transaction scope, the persistence context, regardless of whether it is extended, is not propagated. If a stateful session bean with an extended persistence context calls another noninjected stateful session bean with an extended persistence context, an error is thrown. If you inject a stateful session bean into another stateful session bean, those beans share the same extended persistence context. However, if you manually create a stateful session, there is no sharing of persistence contexts.
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Isolation and Database Locking
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Transaction isolation (the I in ACID) is a critical part of any transactional system. This section explains isolation conditions, database locking, and transaction isolation levels. These concepts are important when deploying any transactional system.
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Dirty, Repeatable, and Phantom Reads
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Transaction isolation is defined in terms of isolation conditions called dirty reads, repeatable reads, and phantom reads. These conditions describe what can happen when two or more transactions operate on the same data. When two users execute data access methods concurrently, different problems can surface or be avoided entirely, depending on the isolation level used by the database. Transaction isolation seeks to avoid these situations.
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Dirty reads
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A dirty read occurs when a transaction reads uncommitted changes made by a previous transaction. If the first transaction is rolled back, the data read by the second transaction becomes invalid because the rollback undoes the changes. The second transaction will not be aware that the data it has read has become invalid.
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Repeatable reads
A repeatable read occurs when the data read is guaranteed to look the same if read again during the same transaction. Repeatable reads are guaranteed in one of two ways: either the data read is locked against changes, or it is a snapshot that doesn t reflect changes. If the data is locked, it cannot be changed by any other transaction until the current transaction ends. If the data is a snapshot, other transactions can change the data, but these changes will not be seen by this transaction if the read is repeated.
Isolation conditions are covered in detail by the ANSI SQL-92 Specification, Document Number: ANSI X3. 135-1992 (R1998).
A nonrepeatable read occurs when the data retrieved in a subsequent read within the same transaction can return different results. In other words, the subsequent read can see the changes made by other transactions.
Phantom reads
A phantom read occurs when new records added to the database are detectable by transactions that started prior to the insert. Queries will include records added by other transactions after their transaction has started.
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