Oracle Database 10g: SQL Tuning

This course will equip developers to build efficient SQL statements and to tune applications from the standpoint of an application developer. When this effort is complemented by database server and possibly PL/SQL application tuning, then a highly efficient environment has been built. The target audience for this course is both senior application developers and database administrators. Developers who will be building, debugging and tuning complex SQL statements will benefit from this course. Database administrators responsible for tuning the database will need to collaborate with application developers in order to implement the techniques discussed herein.

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Oracle Database 10G: Introduction to SQL - Complete Library (Level 1 and 2)

This course will equip developers to build efficient SQL statements and to tune applications from the standpoint of an application developer. When this effort is complemented by database server and possibly PL/SQL application tuning, then a highly efficient environment has been built. Major subject areas to be explored are:
• Consider the unique and differing tuning issues in OLTP database and data warehouse environments.
• Learn the phases of SQL statement execution within the database instance.
• Use various techniques to examine SQL execution plans which are produced.
• Learn about the operation of the Oracle Cost-Based Optimizer, including optimizer statistics and histograms.
• Influence the behavior of the Optimizer and tune SQL statement execution.
• Utilize the database advisory framework and those Advisors specifically intended for SQL tuning.
• Use private and public stored outlines to achieve absolute execution plan stability.
• Understand the self-tuning infrastructure and the automatic SQL tuning capabilities found within the database.

• Differences between applications
• The challenges of tuning
• The impact of the systems infrastructure
• Using the management & advisory framework

• The execution phases
• Sql execution modes

• More about the execution plan
• Viewing the execution plan
• More interpretation of the plan

• Optimization goals
• Optimizer_features_enable parameter
• Cbo components

• Table access operations
• Join operations
• Index operations

• more about optimizer statistics
• automatic database statistics collection
• statistics_level parameter
• gather_stats_job
• manually gathering statistics
• using the dbms_stats() package
• gather_table_stats()
• gather_index_stats()
• gather_schema_stats()
• gather_database_stats()
• using the em interface
• collecting & managing system statistics
• managing system statistics
• create_stat_table()
• Gather_system_stats()
• get_system_stats()
• set_system_stats()
• import_system_stats()
• export_system_stats()
• delete_system_stats()
• drop_stat_table()

• The management & advisory framework
• Real-time monitors
• Managing the automatic workload repository
• Automatic database diagnostic monitor
• Metrics & alert thresholds

• Application tuning setup
• Application monitoring & tuning with em
• Sql tuning advisor

• About sql tuning advisor tasks
• Sql profile management
• accept_sql_profile()
• alter_sql_profile()
• drop_sql_profile()
• sql tuning set management

• Using the sql access advisor
• Performing a quick tune task
• Index operation database parameters
• Optimizer_index_cost_adj
• Optimizer_index_caching
• Skip_unusable_indexes

• About hints
• Hint explanations

• Why are histograms needed?
• Histograms internal structure
• Manually managing histograms

• about plan stability
• Preparing for stored outlines
• Creating & using stored outlines
• Data dictionary storage
• Managing stored outlines
• Drop outline
• Alter outline
• dbms_outln()

• About private outlines
• Editing private outlines
• Utilizing private outlines

• About cursor sharing
• Bind variables & cursor peeking
• Using the cursor_sharing parameter

• Using tkprof
• Using autotrace

• About chained & migrated rows
• Validating database objects