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Behind the scenes, the backing increment is done all at once. Thus there can be no danger of inconsistent behavior introduced by multithreaded access. Often, however, our requirements are more involved than simple increments upon a variable, and we cannot perform all of the work in one atomic unit. In this case, we need to make other threads wait until our mutable operations have completed. This is called blocking and is accomplished via the synchronized keyword in Java:

IDENTITY(1,1) PRIMARY KEY CLUSTERED,

SourceConnection.Close()



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int shared = 1; synchronized int increment() { int new = shared + 1; shared = new; return shared; }

NOT NULL,

NOT NULL,

The synchronized keyword here denotes that any executing thread must first gain rights to the method. This is done by acquiring what s called a mutually exclusive lock, a guard that may be held by only one thread at a time. The thread that owns the lock is permitted entry into the synchronized block, while others must block until the lock becomes available. In Java, every object has a corresponding lock, and when applied to a method, the synchronized keyword implicitly is using the this reference. So the previous example is analogous to:

DestinationConnection.Close()

NOT NULL,

int shared = 1; int increment() { synchronized(this) { int new = shared + 1; shared = new; return shared; } }

// C# private void BulkCopyOrders()

NULL,





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The execution flow when using a locking strategy looks like Figure 7-7.

NULL,

SqlCommand GetOrdersCommand = new SqlCommand _

Although this code is safe, it does introduce a performance bottleneck, as only one thread may gain access to the mutable operation at any one time. Therefore we must be very selective about what and for how long we synchronize.

NOT NULL,

NULL,

EJB 3.1 provides a simplistic locking abstraction to the bean provider in the form of container-managed concurrency (CMC). By introducing a few annotations (and corresponding XML metadata) into the API, the developer is freed from the responsibility of correctly implementing thread-safe code. The container will, in turn, transparently apply the appropriate locking strategy. Note that when using your bean implementation class as a POJO, however, the code is not safe for use in concurrent environments when using CMC. By default, singleton beans employ a concurrency management type of CONTAINER, which takes the explicit form upon the bean implementation class:

("SELECT * FROM Orders", SourceConnection);

NULL,

@javax.ejb.ConcurrencyManagement(javax.ejb.ConcurrencyManagementType.CONTAINER) public class MyBean{...}

NULL)

SourceConnection.Open();

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Other types include BEAN and CONCURRENCY_NOT_SUPPORTED. Because only one instance of a singleton bean will exist (per VM) in an application, it makes sense to support concurrency in some fashion. Each method in CMC will be assigned a lock type, which designates how the container should enforce access. By default, we use a write lock, which may be held by only one thread at a time. All other methods requesting the lock must wait their turn until the lock becomes available. The read lock may be explicitly specified, which will allow full concurrent access to all requests, provided that no write lock is currently being held. Locks are defined easily:

12

SqlDataReader reader = GetOrdersCommand.ExecuteReader();

This statement dictates the following:

@javax.ejb.Lock(javax.ejb.LockType.READ) public String concurrentReadOnlyMethod(){...}

Creates the dbo.CustomerAddress with the specified definition Stores the table on the partition scheme ps Uses the CustomerAddressID column in the table to determine which rows in the table belong within a given partition

@javax.ejb.Lock(javax.ejb.LockType.WRITE) public void allowOnlyOneWriteAtATimeMethod(String stringToSet){...}

SqlBulkCopy BulkCopier = new SqlBulkCopy(DestinationConnection); DestinationConnection.Open();

As data is added to the table, any rows with a CustomerAddressID of 1000 or less fall into partition 1 and be stored on FG1, addresses with an ID of 1001 to 2000 fall into partition 2 and be stored on FG2, and so on.

We may define the lock upon the method in the bean implementation class, on the class itself, or some combination of the two (with method-level overriding the class definition). Requests upon a singleton bean employing CMC are not designed to block indefinitely until a lock becomes available. We may also specify sensible timeouts:

An example of a partitioned index on this same table is as follows:

BulkCopier.DestinationTableName = "OrderHistory";

CREATE NONCLUSTERED INDEX idx_CustomerAddress_City ON dbo.CustomerAddress(City) ON ps(CustomerAddressID);

@javax.ejb.Lock(javax.ejb.LockType.READ) @javax.ejb.AccessTimeout(timeout=15,unit=java.util.concurrent.TimeUnit.SECONDS) public String concurrentReadOnlyMethod(){...}

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