THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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public class Customer implements Serializable {
private String name;
private String symbol; // search integer in string format
private int revenue;
private int SSN; // search int
private Person contact; // search nested object
......
}
public class Person implements Serializable {
private String name;
private String email;
private int revenue;
private String address;
private Page homepage;
.......
}
public class Page implements Serializable {
private int id; // search integer in int format
private String title;
private String content;
final String desc = "At client and server JVM, initializing cache will create the LuceneServiceImpl object,"
+" which is a singleton at each JVM.";
......
} |
Example to index on nested fields: following example demos how to index on nested field such as contact.homepage.title, or contact.email, each segment is a field name, not the type name. This will tell the system to find the parent and grandparent field, because it's possible that several fields will have the same type. For example, Customer class could have 2 Person fields: Person contact and Person deliveryman. The email field to be indexed is from contact field, not deliveryman field.
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// Get LuceneService
LuceneService luceneService = LuceneServiceProvider.get(cache);
// Create Index on fields, some are fields in nested objects:
luceneService.createIndexFactory().setLuceneSerializer(new FlatformatSeralizer()) /* an out-of-box LuceneSerializer implementation */
.addField("name").addField("symbol").addField("revenue").addField("SSN")
.addField("contact.name").addField("contact.email").addField("contact.address").addField("contact.homepage.title")
.create("customerIndex", "Customer");
// Now to create region
Region CustomerRegion = ((Cache)cache).createRegionFactory(shortcut).create("Customer"); |
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