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The method body is a block, which (as you will recall from 2) is a sequence of statements between curly braces. A block can contain the following items: Local variables Flow-of-control constructs Method invocations Blocks nested within it

And then every month or year or some other time interval, we have to purge or archive it Auditing is something that if not properly designed from the beginning can kill you at the end Seven years from now when you are faced with your first purge or archive of the old data is not when you want to be thinking about how to accomplish it Unless you designed for it, getting that old information out is going to be painful Enter two technologies that make auditing not only bearable, but also pretty easy to manage and consume less space These technologies are partitioning and segment space compression, as we discussed in 10.

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The nonterminal symbol <data_label> is a simple name labeling the data segment to which the field is mapped The ILAsm compiler allows a field to be mapped either to the normal data section (sdata) or to the thread local storage (tls), depending on the data declaration to which the field mapping refers A field can be mapped only to data residing in the same module as the field declaration (For information about data declaration, see the following section, Data Constants Declaration ) Mapping a field results in emitting a record into the FieldRVA table, which contains two entries: RVA (4-byte unsigned integer) The relative virtual address of the data to which the field is mapped Field (RID to the Field table) The index of the Field record being mapped.

override function create() : Node { def lampContent:FXDContent = FXDLoader .loadContent("{__DIR__}lamp.fxz"); def lampNode = lampContent.getRoot(); lampOn = lampContent.getNode("lampOn");

That second one might not be as obvious since basic segment space compression only works with large bulk operations like a direct path load (OLTP compression is a feature of the Advanced Compression Option not available with all database editions), and audit trails are typically inserted into a row at a time, as events happen The trick is to combine sliding window partitions with segment space compression Suppose we decide to partition the audit trail by month During the first month of business, we just insert into the partitioned table; these inserts go in using the conventional path, not a direct path, and hence are not compressed Now, before the month ends, we ll add a new partition to the table to accommodate next month s auditing activity.

switch (property) { case 0: addr.setStreetAddress(propertyValue); return; case 1: addr.setState(propertyValue); return; case 2: addr.setState(propertyValue); return; case 3: addr.setZipCode(propertyValue); return; } } public Object assemble(Serializable cached, SessionImplementor session, Object owner) throws HibernateException { return deepCopy(cached); } public Serializable disassemble(Object value, SessionImplementor session) throws HibernateException { return (Serializable) deepCopy(value); } public Object nullSafeGet(ResultSet rs, String[] names, SessionImplementor session, Object o) throws HibernateException, SQLException { // TODO Auto-generated method stub return null; } public void nullSafeSet(PreparedStatement ps, Object o, int i, SessionImplementor session throws HibernateException, SQLException { // TODO Auto-generated method stub } }

Two or more fields can be mapped to the same location, but each field can be mapped to one location only Duplicate FieldRVA records with the same Field values and different RVA values are therefore considered invalid metadata The loader is not particular about duplicate FieldRVA records, however; it simply uses the first one available for the field and ignores the rest The field mapping technique has some catches The first catch (well, not much of a catch, actually) is that, obviously, only static fields can be mapped Even if we could map instance fields, each instance would be mapped to the same physical memory, making the fields de facto static shared by all instances anyway.

This chapter scratches the surface in introducing the powerful Eclipse environment. To learn more about Eclipse, you might consider reading Eclipse in Action: A Guide for Java Developers, by David Gallardo, Ed Burnette, and Robert McGovern, published by Manning and available online at http:// www.manning.com/. It s easy to get the views in the current perspective into a layout that isn t what you really want. If this occurs, you have a couple of choices to restore

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