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An explain plan is a representation of the access path that is taken when a query is executed within Oracle. Determines the optimal access path for the query to take. With the Rule Based Optimizer (HBO) it uses a set of heuristics to determine access path.
The EXPLAIN PLAN statement displays execution plans chosen by the Oracle optimizer for SELECT, UPDATE, INSERT, and DELETE statements. A statement's execution plan is the sequence of operations Oracle performs to run the statement. The row source tree is the core of the execution plan.
An explain plan is a representation of the access path that is taken when a query is executed within Oracle. Determines the optimal access path for the query to take. With the Rule Based Optimizer (HBO) it uses a set of heuristics to determine access path.
Cost is the estimated amount of work the plan will do. A higher cardinality → you're going to fetch more rows → you're going to do more work → the query will take longer. Thus, the cost is (usually) higher. All other things being equal, a query with a higher cost will use more resources and thus take longer to run.
In SQL Developer, you don't have to use EXPLAIN PLAN FOR statement. Press F10 or click the Explain Plan icon. It will be then displayed in the Explain Plan window. If you are using SQL×Plus then use DBMS_XPLAN.
TK Prof is an Oracle database utility used to format SQL Trace output into human-readable format. The TK Prof executable is located in the ORACLE HOME/bin directory.
The COST is the final output of the Cost-based optimizer (CBO), the purpose of which is to select which of the many possible plans should be used to run the query. The CBO calculates a relative Cost for each plan, then picks the plan with the lowest cost.
Grant Britches (1/10/2012) The cost of an execution plan is just an estimate based on how many CPU and I/O resources that the query optimizer estimates that query will use. You can use this number to compare between two queries, but, because it's an estimate, it can be horribly wrong.
In the context of execution plans, the cardinality shows the number of rows estimated to come out of each operation. ... The result shows you the estimated number of rows (E-Rows) and the actual number of rows (A-Rows), which can of course be quite different because of data skew.
Cardinality is the estimated number of rows the step will return. Cost is the estimated amount of work the plan will do. A higher cardinality → you're going to fetch more rows → you're going to do more work → the query will take longer. ... A lower cost query can run faster than a higher cost one!
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