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List of extra features

Fine-tune Table Invoice
Standardize Table Invoice
Conform Table Contract
Fine-tune Table Contract
Standardize Table Contract
Conform Table Permit
Fine-tune Table Permit
Standardize Table Permit

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Define business requirements first. SELECT fields instead of using SELECT * Avoid SELECT DISTINCT. Create joins with INNER JOIN (not WHERE) Use WHERE instead of HAVING to define filters. Use wildcards at the end of a phrase only.
Don't use the * in your queries. All columns involved in indexes should appear on WHERE and JOIN clauses on the same sequence they appear on index. Avoid Views. Verify if a critical query gains performance by turning it in a stored procedure. Avoid too much JOIN son your query: use only what is necessary!
Performance tuning includes query optimization, SQL client code optimization, database index management, and in another sense, better coordination between developers and DBA's.
Tip 1: Know your tables and row counts. Tip 2: Examine the query filters, WHERE and JOIN clauses and note the filtered row count. Tip 3: Know the selectivity of your tables. Tip 4: Analyze the additional query columns.
The SQL Server Query Optimizer. The SQL Server Query Optimizer is a cost-based optimizer. It analyzes a number of candidate execution plans for a given query, estimates the cost of each of these plans and selects the plan with the lowest cost of the choices considered.
In a nutshell, SQL performance tuning consists of making queries of a relation database run as fast as possible. As you'll see in this post, SQL performance tuning is not a single tool or technique. Rather, it's a set of practices that makes uses of a wide array of techniques, tools, and processes.
SQL Server performance tuning is the process of ensuring that the SQL statements issued by an application run in the fastest possible time. In other words, tuning SQL statements is finding and taking the fastest route to answer your query, just like discovering the fastest route to your home after work.
Performance tuning is the improvement of system performance. Typically, in computer systems, the motivation for such activity is called a performance problem, which can be either real or anticipated. Most systems will respond to increased load with some degree of decreasing performance.
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