Since SQL is declarative, there are typically a large number of alternative ways to execute a given query, with widely varying performance. When a query is submitted to the database, the query optimizer evaluates some of the different, correct possible plans for executing the query and returns what it considers the best alternative. Because query optimizers are imperfect, database users and administrators sometimes need to manually examine and tune the plans produced by the optimizer to get better performance.
The SQL Server Management Studio tool which ships with Microsoft SQL Server, for example, shows this graphical plan when executing this two-table join against a sample database:|
SELECT * FROM HumanResources.Employee AS eINNER JOIN Person.Contact AS cON e.ContactID = c.ContactIDORDER BY c.LastName
The UI allows exploration of various attributes of the operators involved in the query plan, including the operator type, the number of rows each operator consumes or produces, and the expected cost of each operator's work.
StmtTextIt indicates that the query engine will do a scan over the primary key index on the Employee table and a matching seek through the primary key index (the ContactID column) on the Contact table to find matching rows. The resulting rows from each side will be shown to a nested loops join operator, sorted, then returned as the result set to the connection.|--Sort(ORDER BY:([c].[LastName] ASC))|--Nested Loops(Inner Join, OUTER REFERENCES:([e].[ContactID], [Expr1004]) WITH UNORDERED PREFETCH)|--Clustered Index Scan(OBJECT:([AdventureWorks].[HumanResources].[Employee].[PK_Employee_EmployeeID] AS [e]))|--Clustered Index Seek(OBJECT:([AdventureWorks].[Person].[Contact].[PK_Contact_ContactID] AS [c]),SEEK:([c].[ContactID]=[AdventureWorks].[HumanResources].[Employee].[ContactID] as [e].[ContactID]) ORDERED FORWARD)
In order to tune the query, the user must understand the different operators that the database may use, and which ones might be more efficient than others while still providing semantically correct query results.
Some databases like Oracle provide a Plan table for query tuning. This plan table will return the cost and time for executing a Query. In Oracle there are 2 optimization techniques:
The RBO is slowly being deprecated. For CBO to be used, all the tables referenced by the query must be analyzed. To analyze a table, a package DBMS_STATS can be made use of.
The others methods for query optimization include:
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