create barcode image c# Indexing a property and avoiding the tokenization process in Java

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Listing 3.11 Indexing a property and avoiding the tokenization process
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@Entity @Indexed public class Dvd { ... @Field(index=Index.UN_TOKENIZED) private String ean; A ean is not tokenized }
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The Index enum contains two more values: NO and NO_NORMS. NO can be used to ask Lucene not to index the property. This is useful in case you want to store the value in the Lucene index to allow property projection (see section 11.4) but have no need to search by this particular property. Not indexing the data will save both indexing time and space in the index. NO_NORMS is an advanced feature that you shouldn t use without extra knowledge of Lucene. The NO_NORMS option will avoid the tokenization process and avoid storing useful data used to compute the score (the relevance) of a matching document in a query result. While this saves some memory space, it also reduces the feature set. Indexing is one thing, but you might sometimes need to store the original value in the index for the sake of retrieving it. Hibernate Search lets you do just that.
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STORING THE DATA IN THE INDEX
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In Lucene, you can index data without storing it in the index. In most cases, the data is retrieved elsewhere, and duplicating the data is unnecessary. By default, Hibernate Search doesn t store the property value in the Lucene index. This is unnecessary because the entities are hydrated from the persistence context (the Session or the EntityManager). On some occasions, however, it is significantly faster to retrieve the information from the Lucene index itself. Queries retrieving the data from the Lucene index are called projections (see chapter 11). Every projected property must be stored in the Lucene index. Storing the value in the index can also be useful if thirdparty applications access the same Lucene index. To enable data storing, use @Field.store, as in listing 3.12.
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Listing 3.12 Storing a property value in the index, enabling projection queries
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@Entity @Indexed public class Item { ... @Field(store=Store.YES) private String title; }
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Title value is stored in the index
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Don t store every single property, though. Doing so takes up space in the Lucene index and consumes more input/output, and the field bridges used must obey the TwoWayFieldBridge or TwoWayStringBridge contract (see section 4.1 for more information). You can decide to store the value in a compressed manner. This saves some space in the Lucene index at the expense of more CPU consumption at reading and writing time. To store a property in a compressed manner, use the Store.COMPRESS value. In listing 3.13, the title is stored as compressed in the index.
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Mapping properties
Listing 3.13
Storing a property value as compressed in the Lucene index
@Entity @Indexed public class Item { ... @Field(store=Store.COMPRESS) private String title; }
A title value is stored compressed in the index
You can also store statistical information about the indexed data.
EXTRACTING STATISTICAL INFORMATION: TERMVECTORS
By default, Lucene stores the necessary information it needs to answer your queries. But your application can look at statistical information on a given field in a given document and extract a few interesting things, for example:
List of terms (words) used Number of occurrences for each term Positions in the field (roughly the number of words before a given term) Offset in the field (start and end): the position in the string where the term starts and stops
This kind of information can be useful when:
Doing more like this queries Highlighting the matching sections The term vector feature is available only in Hibernate Search 3.1 and above.
NOTE
This statistical data isn t stored by default in the Lucene index because it takes space and time to compute. But you can enable it on a per-field basis. Use @Field.termVector to choose which data to store:
TermVector.NO (default) Does not store statistical information TermVector.YES Stores terms and their number of occurrences TermVector.WITH_OFFSETS Stores terms, their number of occurrences, and
the offset information TermVector.WITH_POSITIONS Stores terms, their number of occurrences, and the position information TermVector.WITH_POSITION_OFFSETS Stores terms, their number of occurrences, and both position and offset information
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