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Business logic is put in a Web Presentation layer to give the user a more interactive experience and put into a Windows UI for the same reason. The business logic is rechecked in the web UI (on the web server) because the browser isn t trustworthy. And database administrators put the logic into the database (via stored procedures and other database constructs) because they don t trust any application developers! The result of all this validation is a lot of duplicated code, all of which has to be debugged, maintained, and somehow kept in sync as the business needs (and thus logic) change over time. In the real world, the logic is almost never really kept in sync, and so developers must constantly debug and maintain the code in a near-futile effort to make all of these redundant bits of logic agree with each other. One solution is to force all of the logic into a single layer, thereby making the other layers as dumb as possible. There are various approaches to this, although (as you ll see) none of them provide an optimal solution.

When we go to refresh the data at 10:00 am, we pull all of the changes that had occurred since that time, and when we merge these into the data warehouse, we ll have.

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Another situation where it is vital that you understand read consistency and multi-versioning is when you are faced with a query that in production, under a heavy load, uses many more I/Os than you observe in your test or development systems, and you have no way to account for it You review the I/O performed by the query and note that it is much higher than you have ever seen much higher than seems possible You restore the production instance on test and discover that the I/O is way down But in production it is still very high (but seems to vary: sometimes it is high, sometimes it is low, and sometimes it is in the middle) The reason, as we ll see, is that in your test system, in isolation, you do not have to undo other transactions changes.

The classic approach is to put all logic into the database as the single, central repository. The presentation and UI then allow the user to enter absolutely anything (because any validation would be redundant), and the Business Logic layer now resides inside the database. The Data Access layer does nothing but move the data into and out of the database, as shown in Figure 1-10.

Tip The endpoint address is a globally unique identifier (GUID). The .NET Micro Framework provides the

In production, however, when you read a given block, you might have to undo (roll back) the changes of many transactions, and each rollback could involve I/O to retrieve the undo and apply it This is probably a query against a table that has many concurrent modifications taking place you are seeing the reads to the undo segment taking place, the work that Oracle is performing to restore the block back the way it was when your query began You can see the effects of this easily in a single session, just to understand what is happening We ll start with a very small table: ops$tkyte@ORA10GR1> create table t ( x int ); Table created ops$tkyte@ORA10GR1> insert into t values ( 1 ); 1 row created ops$tkyte@ORA10GR1> exec dbms_statsgather_table_stats( user, 'T' ); PL/SQL procedure successfully completed.

The advantage of this approach is that the logic is centralized, but the drawbacks are plentiful. For starters, the user experience is totally non-interactive. Users can t get any results, or even confirmation that their data is valid, without round-tripping the data to the database for processing. The database server becomes a performance bottleneck, because it s the only thing doing any actual

ops$tkyte@ORA10GR1> select * from t; X ---------1 Now we ll set our session to use the SERIALIZABLE isolation level, so that no matter how many times we run a query in our session, the results will be as of that transaction s start time: ops$tkyte@ORA10GR1> alter session set isolation_level=serializable; Session altered Now, we ll query that small table and observe the amount of I/O performed: ops$tkyte@ORA10GR1> set autotrace on statistics ops$tkyte@ORA10GR1> select * from t; X ---------1.

work. Unfortunately, the hardest physical tier to scale up for more users is the database server, since it is difficult to use load-balancing techniques on it. The only real alternative is to buy bigger and bigger server machines.

Guid structure in the System.Ext.Guid namespace that resides in the MFDpwsExtensions.dll assembly. Invoke the static NewGuid method to create a new GUID.

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