Article ID: 99321 - View products that this article applies to.
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Special considerations must be made for performance optimization of queries built on attached SQL database tables. An SQL database, for this article, is defined as any client/server database that supports some level of ANSI SQL as an intrinsic part of the database's programming language. Optimal query strategy for these queries is to ensure that all query operations are performed on the server. This article outlines tips on how to ensure that queries against attached SQL database tables are performed on the server.
This article assumes a basic understanding of client/server computing environments and architectures.
The key to improving query performance on attached SQL database tables is to ensure that no data is filtered on the client. Filtering data on the client increases network traffic and does not allow for leveraging of advanced server hardware, essentially turning a client/server system into a file server system. To this end, keeping the query evaluation on the server reduces overhead and keeps an application running as fast as possible.
Generic query optimization techniques should not be ignored when you are using attached SQL database tables. "WHERE clause" restrictions, such as equality or range comparisons, and sorting should still be performed on indexed fields.
Use care when implementing intrinsic or user defined functions (UDFs) in query fields or when using criteria that are not supported on the server. Generally, SQL databases have functionality that corresponds to most standard Microsoft Access functions, but each server will be different.
Many intrinsic Microsoft Access functions have direct back-end correspondents. Microsoft Access asks the ODBC driver about intrinsic function support and performs the appropriate mappings.
You can use UDFs and Microsoft Access intrinsic functions without server equivalents when they are accompanied by server-capable restrictions that restrict the data. For example, the following query
Query1a: SELECT * FROM MillionRowTable WHERE Funk1(col1) = 10
returns the whole table and evaluates Funk1(col1) = 10 locally, whereas the following query
Query1b: SELECT * FROM MillionRowTable WHERE Funk1(col1) = 10 AND LastName BETWEEN 'g' AND 'h'
sends the BETWEEN 'g' AND 'h' restriction to the server, returns the qualifying rows, and evaluates Funk1(col1) on only those rows.
Non-remote-capable SELECT list items do not force a query to be executed locally, unless they are used with unique values or a totals query (DISTINCT/GROUP BY). For example, the following query
Query2a: SELECT * FROM MyTable WHERE Format(col1, ...) = 10
returns the whole table and causes the WHERE clause to be evaluated locally. However, the following query
Query2b: SELECT Format(col1,...) FROM MyTable WHERE col2 = 10
sends "SELECT col1 FROM MyTable WHERE col2 = 10" to the server, presumably returning far less data over the network. It then locally evaluates Format() on the col1 values returned.
Of the following two queries, Query3a is sent completely to the server. Query3b sends "SELECT col1 FROM MyTable" and performs the Format() function, and therefore the DISTINCT clause, locally.
Query3a: SELECT DISTINCT col1 FROM MyTable Query3b: SELECT DISTINCT Format(col1,...) FROM MyTable
The following two queries are performed as follows: Query4a is sent completely to the server. Query4b sends "SELECT col1 FROM MyTable" and performs the StdDev() aggregate function locally, since it's not a SQL standard function.
Query4a: SELECT Sum(col1) FROM MyTable Query4b: SELECT StdDev(col1) FROM MyTable
Crosstab queries present unique restrictions, some pertinent to all queries, some to crosstab queries only:
Open-ended restrictions do not use indexes on SQL databases. Typically, a SQL WHERE clause reading
WHERE col1 > 1000
will be slower than
WHERE col1 between 1000 and 1000000000
This is a server problem, not a Microsoft Access problem, but it can affect Microsoft Access performance when a SQL database is used as a back end.
When you are using wildcard characters, take special care to make sure that the correct wildcards are used. SQL Server supports the use of % and _ rather than ? and * for wildcards.
Article ID: 99321 - Last Review: June 28, 2004 - Revision: 3.0
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