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If we wish to retrieve data for viewing from SQL Server using T-SQL commands, then the SELECT statement is the command we need to use. This is quite a powerful command, as it can retrieve data in any order, from any number of columns, and from any table that we have the authority to retrieve data from. It can also perform calculations on that data during data retrieval and even include data from other tables! If the user does not have the authority to retrieve data from a table, then you will receive an error message similar to that which you saw earlier in the chapter informing the user that permission is denied. SELECT has a lot more power than even the functions mentioned so far, but for the moment, let s concentrate on the fundamentals. Let s take some time to inspect the simple syntax for a SELECT statement.

Out of the box, Lucene offers no special clustering facilities or capabilities. Every serious application using Lucene needs to tackle the problem of clustering. Trust the authors it can become very complex! Several libraries built on top of Lucene are trying to make clustering easier. Hibernate Search is one of them. Fundamentally, we have two different ways of clustering a Lucene application. The first one is to let every node in your cluster read and write the index. A pessimistic lock is used to ensure that only one node at a time updates the Lucene index. As you will see, this approach is not that easy to implement and suffers from a fundamental limit. A global pessimistic lock must be shared across all nodes in a cluster that are willing to update a given Lucene Directory. This will limit the scalability of your system. The second approach is to process all index-writing operations on a dedicated node (or subset of nodes) and periodically push the information to the nonwriting nodes (either by replicating the index state or by sharing it).

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SELECT [ ALL | DISTINCT ] [ TOP expression [ PERCENT ] [ WITH TIES ] ] { * | { table_name | view_name | alias_name }* | { column_name | [ ] expression | $IDENTITY | $ROWGUID } [ [ AS ] column_alias ] | column_alias = expression } [ ,..n ] FROM table_name | view_name alias_name WHERE filter_criteria ORDER BY ordering_criteria The following list breaks down the SELECT syntax, explaining each option More explanation will be given throughout the chapter as well SELECT: Required this informs SQL Server that a SELECT instruction is being performed; in other words, we just want to return a set of columns and rows to view ALL | DISTINCT: Optional we want to return either all of the rows or only distinct, or unique, rows Normally, you do not specify either of these options.

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The SELECT statement is used to retrieve data from tables stored in SQL Server databases. The statement can be broken down into several parts called clauses. The FROM clause specifies the table where the data is stored. The SELECT clause contains a list of columns to be retrieved. To filter the data, use the WHERE clause. To sort the data, use the ORDER BY clause. This chapter covered a lot of ground, especially all the nuances of the WHERE clause. Make sure you understand the material covered in the chapter well before continuing. Everything you learn throughout the rest of the book will depend on a thorough knowledge of the basics. The next chapter explores many of the built-in functions you can use to make data retrieval even more interesting.

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TOP expression/PERCENT/WITH TIES: Optional you can return the top number of rows, which, as you remember, will be in an arbitary order unless you use an ORDER BY You can also add the word PERCENT to the end: this means that the top n percent of records will be returned If PERCENT is not specified, all the records will be returned (unless specific column names are given) WITH TIES can only be used with an ORDER BY If you specify you want to return TOP 10 rows, and the 11th row has the same value as the 10th row on those columns that have been defined in the ORDER BY, then the 11th row will also be returned It s the same for subsequent rows, until you get to the point that the values differ.

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