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A column called level is used to indicate what each row represents It takes on the values Month or Day Not all the attributes of the table apply to months; those that do not default to a preselected value such as N/A for textual data The shaded row shows what this looks like for the row that represents January 2009 Some designers prefer to use NULL values for nonapplicable columns, although these can lead to problems at query time, as you learned in 6 This multipurpose dimension table makes it possible to store monthly summaries in the same fact table that records daily data The fact table includes a day_key For rows that contain daily data, this key will refer to a dimension row that represents a day For rows that contain monthly data, it will refer to a dimension row that represents a month.

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In this scenario, a query can make use of the monthly aggregates by adding a constraint like this one:.

The UCManagedConnection class implements the ManagedConnection interface. UCManagedConnection encapsulates the adapter s physical connection, in this case the UCConnection class:

WHERE day.level = "month"

package ucnyjca; import import import import import import import import import java.io.PrintWriter; java.sql.Connection; java.sql.SQLException; java.util.*; javax.resource.NotSupportedException; javax.resource.ResourceException; javax.resource.spi.*; javax.security.auth.Subject; javax.transaction.xa.XAResource;

A query that focuses on the daily detail includes a constraint like this one:

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There is no need to serve the user with 5000 records that he or she will not review Index An additional benefit of splitting tables to provide one table for data modification and another for querying is that the indexes you would need to create on the denormalized tables will not slow down data modification transactions Stored procedures vs ad hoc queries Because of the many performance and management reasons discussed earlier, in Reuse of Stored Procedure Execution Plans in 3, you should use precompiled objects such as stored procedures as much as you can Often, you can significantly simplify a query by dynamically assembling it When you reduce the number of tables and parameters, the query optimizer creates a better execution plan Search types Good results can sometimes be achieved by using a little psychology.

UCManagedConnection ManagedConnection UCConnectionEventListener UCListener; String user; ManagedConnectionFactory mcf; PrintWriter logWriter; boolean destroyed; Set connectionSet;

WHERE day.level = "Day"

UCManagedConnection(ManagedConnectionFactory mcf, String user) { System.out.println("We are executing UCManagedConnection"); this.mcf = mcf; this.user = user; connectionSet = new HashSet(); UCListener = new UCConnectionEventListener(this); } private void throwResourceException(SQLException ex) throws ResourceException { ResourceException re = new ResourceException("SQLException: " + ex.getMessage()); re.setLinkedException(ex); throw re; }

public Object getConnection(Subject subject, ConnectionRequestInfo connectionRequestInfo) throws ResourceException { System.out.println("We are executing UCManagedConnection.getConnection"); UCConnection UCCon = new UCConnection(this); addUCConnection(UCCon); return UCCon; } public void destroy() { System.out.println("We are executing UCManagedConnection.destroy"); destroyed = true; } public void cleanup() { System.out.println("We are executing UCManagedConnection.cleanup"); } public void associateConnection(Object connection) { System.out.println("We are executing UCManagedConnection.associateConnection"); } public void addConnectionEventListener(ConnectionEventListener listener) { System.out.println("We are executing UCManagedConnection.addConnectionEventListener"); UCListener.addConnectorListener(listener); } public void removeConnectionEventListener(ConnectionEventListener listener) { System.out.println("We are executing UCManagedConnection.removeConnectionEventListener"); UCListener.removeConnectorListener(listener); } public XAResource getXAResource() throws ResourceException

day_ key 700 755 762 766 775 level Month Day Day Day Day month_ hoilday_ name flag 12/31/9999 January N/A full_date 1/1/2009 1/8/2009 January January Y N N N year 2009 2009 2009 2009 2009

{ System.out.println("We are executing UCManagedConnection.getXAResource"); return null; } public LocalTransaction getLocalTransaction() { System.out.println("We are executing UCManagedConnection.getLocalTransaction"); return null; } public ManagedConnectionMetaData getMetaData() throws ResourceException { System.out.println("We are executing UCManagedConnection.getMetaData"); return new UCConnectionMetaData(this); }

day_ key 755 762 766 775 . . . 700 product_ key 98765 98765 98765 98765 . . . 98765 salesrep_ key 123 123 123 123 . . . 123 order_ dollars 2,000 3,000 1,000 1,000 . . . 7,000 order dollars is recorded on a daily basis... ... and also included in monthly totals

For example, users do not always need to do a Contains search on a string (like '%string%') Most of the time, Begins with (like 'string%') and Match (='string') searches are sufficient For the latter two, SQL Server.

public void setLogWriter(PrintWriter out) throws ResourceException { System.out.println("We are executing UCManagedConnection.setLogWriter"); logWriter = out; } public PrintWriter getLogWriter() throws ResourceException { System.out.println("We are executing UCManagedConnection.getLogWriter"); return logWriter; } Connection getUCConnection() throws ResourceException { System.out.println("We are executing UCManagedConnection.getUCConnection"); return null; } boolean isDestroyed()

The drawback to this approach lies in the fact that the fact table records every transaction twice: once as the daily detail and once as part of the monthly summary. For example, the fact table in the illustration records order dollars for a particular product and salesrep for four different days in January of 2009. It also records these transactions in a summary row. If a user fails to constrain on the level column, these transactions may be double-counted. For example:

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