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An ordinary view is simply a SQL statement that is stored in the database. When the view is accessed, the SQL statement from the view is merged with the base SQL statement, forming a merged SQL statement. This SQL statement is then executed. When a unique clustered index is created on a view, this view is materialized. This means that the index actually contains the view data, rather than evaluating the view each time it is accessed. The indexed view is sometimes referred to as a materialized view. The result set of the index is stored actually in the database like a table with a clustered index. This can be quite beneficial because these views can include joins and aggregates, thus reducing the need for these aggregates to be computed on the fly. Another advantage of an indexed view is that it can be used even though the view name is not expressly named in the WHERE clause of the SQL statement. This can be very
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advantageous for queries that are extensive users of aggregates. The indexed view is automatically updated as the underlying data is updated. Thus, these indexes can incur significant overhead and should be used with care. Only tables that do not experience significant update, insert, and delete activity are candidates for indexed views.
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The full-text index is very different from a B-tree index and serves a different function. The full-text index is built and used by the Full-Text Engine for SQL Server, or MSFTESQL. This engine is designed to perform searches on text-based data using a mechanism that allows searching using wildcards and pattern recognition. The full-text index is designed for pattern searches in text strings. The full-text index is actually more like a catalog than an index, and its structure is not a B-tree. The full-text index allows you to search by groups of keywords. The full-text index is part of the Microsoft Search service; it is used extensively in Web site search engines and in other text-based operations. Unlike B-tree indexes, a full-text index is stored outside the database but is maintained by the database. Because it is stored externally, the index can maintain its own structure. The following restrictions apply to full-text indexes:
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A full-text index must include a column that uniquely identifies each row in the table. A full-text index also must include one or more character string columns in the table. Only one full-text index per table is allowed. A full-text index is not automatically updated, as B-tree indexes are. That is, a B-tree index, a table insert, update, or delete operation will update the index. With the full-text index, these operations on the table will not automatically update the index. Updates must be scheduled or run manually.
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The full-text index has a wealth of features that cannot be found in B-tree indexes. Because this index is designed to be a text search engine, it supports more than standard text-searching capabilities. Using a full-text index, you can search for single words and phrases, groups of words, and words that are similar to each other.
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XML indexes are used to speed access to XML data. XML data is stored as BLOB data in the database. Unlike B-tree indexes, the XML index is designed to work with the exists statement. XML indexes are defined as either primary XML indexes or secondary XML indexes.
Part III
Microsoft SQL Server 2005 Administration
A primary XML index is a shredded and persisted representation of the XML BLOB in the xml data type column. For each row in the BLOB, the index creates several rows. The number of rows in the index is roughly equivalent to the number of nodes in the XML BLOB. In order to have a secondary XML index, you must first have a primary XML index. The secondary XML indexes are created on PATH, VALUE, and PROPERTY attributes of the XML BLOB data.
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