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This document provides a detailed explanation of the Oracle Optimizer, focusing on the Explain Plan. It discusses how the optimizer determines the most efficient execution plan for SQL queries and
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How to fill out form oracle optimizer explain

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How to fill out The Oracle Optimizer Explain the Explain Plan

01
Access the Oracle Database where the query will be executed.
02
Prepare the SQL query that you want to analyze.
03
Use the command 'EXPLAIN PLAN FOR' followed by your SQL query to generate the execution plan.
04
Execute the 'SELECT * FROM table(DBMS_XPLAN.DISPLAY());' to review the generated execution plan.
05
Analyze the output to see the execution path, join methods, and access paths used by the optimizer.

Who needs The Oracle Optimizer Explain the Explain Plan?

01
Database Administrators
02
Developers involved in SQL query optimization
03
Data analysts looking to enhance query performance
04
System architects for database design and performance tuning
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People Also Ask about

Understanding EXPLAIN PLAN. 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.
Use the EXPLAIN PLAN statement to determine the execution plan Oracle Database follows to execute a specified SQL statement. This statement inserts a row describing each step of the execution plan into a specified table. You can also issue the EXPLAIN PLAN statement as part of the SQL trace facility.
1:30 4:11 And going compare with Autotrace. This gives us the two execution plans side by side the originalMoreAnd going compare with Autotrace. This gives us the two execution plans side by side the original one on the right. And our new hopefully improved plan on the left.
The EXPLAIN PLAN statement is a data manipulation language (DML) statement, rather than a data definition language (DDL) statement. Therefore, Oracle Database does not implicitly commit the changes made by an EXPLAIN PLAN statement.
The purpose of the Oracle Optimizer is to determine the most efficient execution plan for your queries. It makes these decisions based on the statistical information it has about your data and by leveraging Oracle database features such as hash joins, parallel query, partitioning, etc.
The Optimizer selects the execution plan with the lowest cost, where cost represents the estimated resource usage for that plan. The lower the cost the more efficient the plan is expected to be. The optimizer's cost model accounts for the IO, CPU, and network resources that will be used by the query.
The key difference between explain plan and autotrace is that explain plan produces an execution plan without executing the SQL statement, while autotrace produces an execution plan after executing the statement.

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The Oracle Optimizer is a component of the Oracle Database that determines the most efficient way to execute a SQL statement. The Explain Plan is a tool used to display the execution plan chosen by the optimizer, showing how the Oracle Database will retrieve data for a given query.
Database administrators, developers, and analysts who are responsible for performance tuning and optimizing SQL queries are typically required to use the Explain Plan feature.
To use Explain Plan, you can execute the 'EXPLAIN PLAN FOR' statement followed by your SQL query. After executing this statement, you can retrieve the plan by querying the plan table, often named 'PLAN_TABLE'.
The purpose of the Explain Plan is to provide insight into how the SQL query will be executed, allowing users to identify potential performance issues and understand the efficiency of the query execution strategy.
The Explain Plan reports various details, including the operation types (such as table access or join methods), estimated costs, cardinality, and the order of operations, which together provide a comprehensive view of the execution strategy for the query.
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Oracle Optimizer Explain Plan SQL execution plan cardinality access method join method parallel execution partitioning database performance CBO

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