In an Oracle Performance Tuning course, you will learn how to optimize the performance of Oracle databases. This includes understanding how to identify and resolve performance bottlenecks, use Oracle's built-in tools like AWR (Automatic Workload Repository) and ADDM (Automatic Database Diagnostic Monitor), and analyze SQL execution plans. You'll also explore techniques for tuning SQL queries, memory management, optimizing database storage, and managing resources effectively. The goal is to ensure that the Oracle database operates efficiently, minimizing delays and improving overall system performance.
The Oracle Performance Tuning course aims to equip participants with the skills to optimize the performance of Oracle databases. It covers key concepts like identifying bottlenecks, understanding system resource utilization, and using Oracle tools to analyze and resolve performance issues. The course also teaches best practices for SQL query optimization, efficient use of indexes, memory management, and troubleshooting techniques to ensure high database performance and availability. The goal is to enable participants to enhance system responsiveness, scalability, and overall efficiency.
The Oracle Performance Tuning course teaches how to optimize Oracle databases for better performance. It covers diagnosing issues, tuning SQL queries, indexing, and optimizing memory usage. You'll learn to use tools like AWR and SQL Tuning Advisor to improve database efficiency and resolve bottlenecks
Module 1: Introduction
The top-down approach to tuning
The history of Oracle tuning
A review of the Oracle architecture
The goals of Oracle tuning
Overview of SQL tuning
Oracle network bottlenecks
Oracle RAM usage and bottlenecks
Oracle CPU usage and bottlenecks
Oracle disk I/O overview
Monitoring server (sat, vmstat, top, glance)
Movement toward server consolidation
Exercise: Monitor CPUModule 2:Oracle disk I/O tuning
History of DASD
Understanding disk I/O
Monitoring disk I/O (AWR, dba_hist_filestatxs)
Sorted hash cluster tables
Disk I/O waits
Oracle data buffer internals (db_cache_size)
Caching data blocks in the PGA (parallel full-table scans)
Blocksize and I/O performance
Exercise – view tablespace fragmentationModule 3: Oracle CPU Tuning
Finding your cpu_count
Measuring CPU usage with vmstat
Oracle CPU usageUsing processor affinity_optimizer_cost_model=cpu
Parallel query and CPU
Exercise: Timing a parallel queryModule 4: Oracle RAM Tuning
all_rows and first_rows optimization and RAM
Multiple data buffers
Multiple blocksizes
Measuring RAM paging
Oracle SGA RAM
Oracle PGA RAM
Using the KEEP pool
Automatic Memory Management (AMM)
Exercise: Use the KEEP poolModule 5: Oracle InstanceTuning
Global tuning techniques
Display possible unnecessary large-table full-table scans
Library cache tuning
Finding missing indexes Tuning the database writer instance parameter tuning
Exercise – change optimizer parametersModule 6: Oracle SQL Tuning Introduction
SQL tuning hierarchy SQL tuning
goals optimizer modes query
re-write cursor_sharing viewing
execution plans (autotrace)
verifying optimal join techniques parallelizing SQL execution
dynamic statistics
Exercise – count times when a table is invoked
12c new SQL features
function-based virtual column
adaptive execution plans
12c new optimizer metadata collection featuresModule 7: AWR and ASH
AWR vs STATSPACK
Reading an AWR report
AWR report analyzer
Basics of predictive modeling for performance
Finding repeating signatures of dataModule 8: Oracle RAC Tuning
RAC architecture tuning
Tuning disk I/O on RAC
Tuning the cache fusion layer on RACModule 9: Oracle Tuning Pack
creating SQL Profiles
Recommending new indexes
“automatic” SQL Tuning
SQL Performance Advisor (SPA)
recommending object reorganizationModule 10: Oracle Diagnostic Pack
AWR and ASH
Real time SQL monitoring
Comparing performance periods
Oracle monitoring & alert notifications (setting thresholds)Module 11:Oracle Tracing
10046 tracing
TKPROF tracing
Trace analyzer
AutotraceModule 12: Introduction to SQL Tuning
Pre-SQL database communications
The evolution of SQL
Declarative languages
Exercise – Show permutations of the same queryModule 13: Optimizing Oracle SQL
Parsing a SQL statement Semantic parsing
Hard parse vs. soft parse
Decision tree generation
Making SQL reentrant
Exercise – generate a syntax and semantic errorModule 14: Optimizer Statistics
Types of metadata
Index metadata
Segment metadata
Server metadata
System stats
Exercise run dbms_statsModule 15: Exposing & Reading Execution Plans
autotrace
SQL*Trace
Determine the steps of an execution plan
Exercise: determine the sequence of steps in a complex execution planModule 16: Alerting Execution Plans
Changing CBO statistics
Changing init.ora SGA parameters
Changing optimizer parameters
Using hints
Using the opt_param hintModule 17: Oracle Indexing
Overview of Oracle
indexing bitmap indexes
bitmap join indexes
guidelines for creating indexes
function-based indexes (FBI)
index usage monitoring
fishing in the library cache
optimizing indexes
The transient nature of indexing database
modality of workloads
SQL Workload analysis
Identifying EOW, EOM and EOY SQL.
Creating on-demand indexing oracle
text indexes
Exercise – create an index on the pubs databaseModule 18: Boolen / Built-in Functions
Boolean evaluation
Decode and case
Basics of BIFs
Function-based indexing
Creating a custom BIF using PL/SQL
The effect of BIFs on SQL execution
Exercise: Write a custom built-in functionModule 19: Tuning Oracle Sorting
Basics of sorting
RAM usage in a hash join
RAM for indexes
Use indexes to avoid sorts
Sorts in execution plans
Sorts in semi joins
Use autotrace to see sorts
What causes sorts?
PGA and sorting
super-sizing your PGA to avoid disk sorts
sorted hash clusters
Exercise: avoid sort by retrieving data in pre-sorted order
Exercise: Use an “index” hint to avoid sortModule 20: Tuning Oracle Sub-queries
Subquery overhead Scalar subqueries
In-Line views
Correlated vs non-correlated subqueries
WHERE clause query re-write
Tuning IN and NOT IN subqueries
Tuning EXISTS subqueries
Tuning correlated subqueries
Using subquery hints (push_subq)
Avoiding subqueries
Non-correlated subqueries and NOT IN clause
Automatic rewrite of EXISTS subqueries
The merge_aj hint
The anti-join hints
Exercise: Tune a subqueryModule 21: Tuning with Temp Objects
Tuning with temporary tables
Oracle global temporary tables (GTT)
The Oracle SQL WITH clause
Exercise: Test query rewritten to use temp tablesModule 22: Tuning Full-table scans
Basics of file multiblock I/O
Deciding when to invoke full-table scan
RAM caching in the SGA
Automating table caching (KEEP Pool)
Solid State Disks and full-table scans
Using plan9i.sql to find full-table scans
Tracking full-scans over time with AWR
Exercise: Find high disk read SQLModule 23: Tuning Parallel Query
Parallel query
Parallel DML
Parallel DDL
Parallel utilities
Setting optimal parallel degree
RAC and parallel query
Parallel query tuning and buffering
Parallel query hints
Exercise: Invoke parallel queryModule 24: Oracle Optimizer goals
Roadblocks to SQL tuning optimizer_index_cost_adj
Global changes and SQL tuning (parameters, statistics,reorganizations)
Using the rule-based optimizer as a testing tool
Configuring the optimizer
Changing optimizer_mode
Governors for the optimizer
Using hidden parameters
Using the opt_param hint
gathering workload statistics
optimizer_cost_modelTechnical Skills:
Teaching Skills:
Communication Skills:
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Interpersonal Skills:
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Continuous Learning:
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Course Content Our students appreciate the comprehensive and up-to-date curriculum that aligns with current industry standards. The blend of theoretical knowledge and practical application ensures that participants are well-prepared for real-world challenges.
Instructors Students consistently praise our instructors for their expertise, approachability, and dedication. Our instructors are industry professionals who bring valuable real-world insights to the classroom, enhancing the learning experience.
Learning Environment Both our online and in-person classes are designed to be interactive and engaging. Students have highlighted the supportive and collaborative atmosphere that fosters effective learning.
Course Materials The provided course materials, including lecture notes, assignments, and resources, are well-received for their clarity and relevance. Students find these materials instrumental in reinforcing their learning and aiding in the application of concepts.
Support Services Our support services, including technical assistance and career guidance, are highly valued by students. The availability of job placement assistance and resume workshops has been particularly beneficial for those seeking to advance their careers.
Flexibility The flexible scheduling options are appreciated by students who are balancing their studies with other commitments. The ability to choose between online and in-person classes offers added convenience.
Overall Satisfaction Overall, students express a high level of satisfaction with our courses. Many have noted significant improvements in their skills and career prospects following the completion of our programs.
We are grateful for the positive feedback and are committed to continually enhancing our offerings based on student input. We invite prospective students to join us and experience firsthand the quality education that FINI Academy provides.
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