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the values to a CHAR (25) data type, and you want the data displayed in the CHAR_DATE column in the query results. How do you define the CAST value expression

Part VI:

Some important applications in financial services and real-time systems involve processing a stream of data coming from a data feed For example, in stock trading applications, the various stock exchanges transmit a continuous stream of quotes (offers to buy or sell securities) and completed transactions that must be captured and analyzed for automated trading Or in a real-time battlefield application, various radar and sensor systems may generate a continuous stream of data about troop movements and threats that must be captured and analyzed to determine the appropriate response In these examples, and others like them, the individual messages in the data stream represent real-world events, such as a stock trade or a troop movement For this reason, the applications are often referred to as stream-processing or event-processing applications.

Figure 8-3

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A conventional enterprise database architecture addresses event-processing applications by first capturing the stream of events and persisting it to disk as a sequence of rows in a database table or tables, as shown in Figure 26-2 Once the data is stored in the database, one or more queries can be run against it to produce the required analysis If the application demands a continuous, real-time analysis of the data as it evolves, it will rerun the query over and over, perhaps once every few seconds Each subsequent query will capture the additional data added to the table in the most recent interval and reflect that data in the query results If the application needs to report on only the most recent data, another process may be introduced that deletes stale data from the table.

Figure 8-4

As the figure illustrates, conventional database systems are designed to query data at rest the data as it exists on the computer system s storage For event-processing applications, the actual goal is often to analyze and summarize data in motion the stream of data as it flows by on a network Often the application has no interest in the individual events in the stream, except for how they contribute to a real-time average or running total, or when they deviate from some normal or expected result The process of persisting the data to disk is a wasted step for such applications In extreme cases, the disk storage may prove to be a bottleneck in the system, limiting the rate at which arriving events can be processed Events may be skipped in the process, resulting in missed opportunities for securities trades or incomplete battlefield information for decision making..

FIGURE 26-2

If you try to execute an INSERT statement that omits a column that does not permit null values and is not defined with a default value, you will receive an error. When you insert a new row, the RDBMS must get a value for each column from somewhere, so if nulls are not permitted, then the value must come from either a default value (if defined) or the VALUES clause of the INSERT statement.

SQL Server 2000 uses two Windows NT/2000 features to improve its disk I/O performance: scatter-gather I/O and asynchronous I/O. The following descriptions were adapted from Books Online:

26:

The values that you specify in the VALUES clause must conform to all restrictions placed on a table. This means that the values must conform to the data types or domains associated with a column. In addition, the values are limited by any constraints defined on the table. For example, a foreign key constraint would prevent you from adding any values that violate the constraint, or a check constraint may limit the range of values that can be inserted into the table. Be sure that you re familiar with the restrictions placed on a table before trying to insert data into that table. You can learn more about data types in 3. You can learn more about domains and constraints in 4.

FIGURE 26-3

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