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Creates an additional column with a value of 1 when a row is added by the CUBE or ROLLUP operator or 0 if it is not the result of a CUBE or ROLLUP operator. Returns the maximum value in the expression. Returns the minimum value in the expression. Returns the sum of the expression s values. Returns the statistical standard deviation for the values in the expression. Returns the statistical standard deviation for the population for the values in the expression. Returns the statistical variance of the values in the expression. Returns the statistical variance for the population for the values in the expression.

MAX(expression)

MIN (expression)

SUM(expression)

STDEV(expression)

and industry associations defined by their ability to exchange information seamlessly and securely via the Internet.

STDEVP(expression)

VAR(expression)

VARP(expression)

Except for the COUNT function, all aggregate functions remove records that have null in the specified field from the set.

As you can see, SQL Server will even print a warning about nulls:

Average Rent ------------

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XML is finding extensive application within the B2B (business-to-business) and B2C (business-to-consumer) arenas, to name but two of this young century s most ubiquitous buzzwords XML s success in this emerging marketplace is largely due to its platform independence, which translates directly to the bottom line in terms of low implementation costs Trading partners require only Internet access and a web browser to conduct secure business transactions over the Internet One of the buzzwords of the early 1990s was EDI (Electronic Data Interchange) EDI is still around, but it has never fulfilled its promise to make the exchange of paper documents between businesses obsolete It was the cost of implementation that prevented EDI from fulfilling this promise The problem that EDI encountered is a variation on the Tower of Babel theme: the proliferation of languages and protocols ensured that each implementation would be unique, and therefore costly.

You apply COUNT on a specific field:

The lock manager acquires and releases various types of locks, such as shared read locks, exclusive locks for writing, intent locks to signal a potential plan to perform some operation, extent locks for space allocation, and so on. It manages compatibility between the lock types, resolves deadlocks, and escalates locks if needed. The lock manager controls table, page, and row locks as well as system data locks. (System data, such as page headers and indexes, is private to the database system.) The lock manager provides two separate locking systems. The first enables row locks, page locks, and table locks for all fully shared data tables, data pages and rows, text pages, and leaf-level index pages and index rows. The second locking system is used internally only for restricted system data; it protects root and intermediate index pages while indexes are being traversed. This internal mechanism uses latches, a lightweight, short-term variation of a lock for protecting data that does not need to be locked for the duration of a transaction. Full-blown locks would slow the system down. In addition to protecting upper levels of indexes, latches protect rows while they are being transferred from the storage engine to the relational engine. If you examine locks by using the sp_lock stored procedure or a similar mechanism that gets its information from the syslockinfo table, you will not see or be aware of latches; you will see only the locks for fully shared data. However, some counters are available in Performance Monitor to monitor latch requests, acquisitions, and releases. Locking is an important aspect of SQL Server, primarily for the many developers who are keenly interested in locking because of its potential effect on application performance.

SQL Server will count only records that do not have null in the Rent field:

You can apply COUNT on all fields:

SQL Server counts all records in the table:

Assets -----------7298 (1 row(s) affected)

Functions from this set are unusual in that they return a complete recordset to the caller. They cannot be used (as scalar functions) in any place where an expression is acceptable. They can be used in Transact-SQL statements only in situations where the server expects a table reference. An example of such a situation is the From clause of the Select statement. These functions were introduced in Microsoft SQL Server 7.0.

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