ssrs fixed data matrix

ssrs fixed data matrix

ssrs fixed data matrix

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In a CMT, the container starts, commits, and rolls back a transaction on our behalf. Transaction boundaries in declarative transactions are always marked by the start and end of EJB business methods. More precisely, the container starts a JTA transaction before a method is invoked, invokes the method, and depending on what happened during the method call, either commits or rolls back the managed transaction. All we have to do is tell the container how to manage the transaction by using either annotations or deployment descriptors and ask it to roll back the transaction when needed. By default, the container assumes that you will be using CMT on all business methods. This section describes CMT in action. We ll build the Snag-It ordering system using CMT and you ll learn how to use the @TransactionManagement and @TransactionAttribute annotations. Also, you ll learn both how to roll back a transaction using methods of EJBContext and when an application exception is raised.

The plan shows that our covering index was fully scanned in order The maximum orderdate was isolated for each shipperid by the Stream Aggregate operator Then the filter operator filtered only shippers for whom the maximum orderdate was before '20010101' Here are the vital performance measures I got for this query: Logical reads: 2730 CPU time: 670 ms Elapsed time: 732 ms Note that you might get slightly different performance measures At this point, you need to ask yourself if you're happy with the result, and if you're not, whether there's potential for optimization at all Of course, this solution is a big improvement over the cursor-based one, both in terms of performance and code readability and maintenance However, a run time of close to one second for such a query might not be satisfactory.

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public sealed class ConditionalWeakTable<TKey, TValue> where TKey : class where TValue : class { public ConditionalWeakTable(); public void Add(TKey key, TValue value); public TValue GetValue(TKey key, CreateValueCallback<TKey, TValue> createValueCallback); public Boolean TryGetValue(TKey key, out TValue value); public TValue GetOrCreateValue(TKey key); public Boolean Remove(TKey key); public delegate TValue CreateValueCallback(TKey key); } // Nested delegate definition

Table B.1 Common column data types and their Java equivalents (continued) Java Type int, Integer, BigInteger double, float, BigDecimal, Double, Float java.sql.Blob, byte[] java.sql.Clob, char[],java.lang.String

Click Next and the Extend Volume Wizard displays a nal con rmation page before extending the volume. Click Finish to extend the volume. The extended volume is shown in Figure 11-15.

Keep in mind that an Orders tables in some production environments can contain far more than one million rows If you determine that you want to tune the solution further, you now need to figure out whether there's potential for optimization Remember that in the execution plan for the last query, the leaf level of the index was fully scanned to obtain the latest orderdate for each shipper That scan required 2730 page reads Our Shippers table contains 12 shippers Your gut feelings should tell you that there must be a way to obtain the data with much fewer reads In our index, the rows are sorted by shipperid and orderdate This means that there are groups of rowsa group for each shipperidwhere the last row in each group contains the latest orderdate that you want to inspect.

SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate = '20080828'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080101' AND orderdate < '20080201'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080401' AND orderdate < '20080501'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080201' AND orderdate < '20090301'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080501' AND orderdate < '20080601'; SELECT orderid, custid, empid, shipperid, orderdate, filler FROM dbo.Orders WHERE orderdate >= '20080101' AND orderdate < '20080201';

This is pretty much all that s required for the definition of an RSSFeed Model object. Notice that the RSSFeed has an addItem API that enables the addition of items to the internal item s array. Each item should be a Model object as well one that encapsulates the attributes of each item in the feed. Given what we know about the RSS items, let s define our item Model class as shown in listing 13.22.

Alas, the optimizer currently doesn't have the logic within it to "zigzag" between the levels of the index, jumping from one shipper's latest orderdate to the next If it had, the query would have incurred substantially less I/O By the way, such zigzagging logic can be beneficial for other types of requestsfor example, requests involving filters on a non-first index column and others as well But I won't digress Of course, if you request the latest orderdate for a particular shipper, the optimizer can use a seek directly to the last shipper's row in the index Such a seek would cost 3 reads in our case Then the optimizer can apply a TOP operator going one step backwards, returning the desired valuethe latest orderdate for the given shipperto a Stream Aggregate operator.

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