Oracle Performance Tuning

Oracle Performance Tuning

Introduction to Oracle Performance Tuning

  • 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 CPU

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 fragmentation

Oracle CPU Tuning

  • Finding your cpu_count
  • Measuring CPU usage with vmstat
  • Oracle CPU usage
  • Using processor affinity
  • _optimizer_cost_model=cpu
  • Parallel query and CPU
  • Exercise:  Timing a parallel query

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 pool

Oracle Instance Tuning

  • 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 parameters

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 features

AWR and ASH

  • AWR vs STATSPACK
  • Reading an AWR report
  • AWR report analyzer
  • Basics of predictive modeling for performance
  • Finding repeating signatures of data

Oracle RAC Tuning

  • RAC architecture tuning
  • Tuning disk I/O on RAC
  • Tuning the cache fusion layer on RAC

Oracle Tuning Pack

  • creating SQL Profiles
  • Recommending new indexes
  • “automatic” SQL Tuning
  • SQL Performance Advisor (SPA)
  • recommending object reorganization

Oracle Diagnostic pack

  • AWR and ASH
  • Real time SQL monitoring
  • Comparing performance periods
  • Oracle monitoring & alert notifications (setting thresholds)

Oracle Tracing

  • 10046 tracing
  • TKPROF tracing
  • Trace analyzer
  • Autotrace

Introduction to SQL Tuning

  • Pre-SQL database communications
  • The evolution of SQL
  • Declarative languages
  • Exercise – Show permutations of the same query

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 error

Optimizer statistics

  • Types of metadata
  • Index metadata
  • Segment metadata
  • Server metadata
  • System stats
  • Exercise run dbms_stats

Exposing & Reading Execution Plans

  • autotrace
  • SQL*Trace
  • Determine the steps of an execution plan
  • Exercise: determine the sequence of steps in a complex execution plan

altering execution plans

  • Changing CBO statistics
  • Changing init.ora SGA parameters
  • Changing optimizer parameters
  • Using hints
  • Using the opt_param hint

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 database

Boolean/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 function

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 sort

 Tuning Oracle subqueries

  • 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 subquery

Tuning with temp objects (materialized views, global temporary tables)

  • Tuning with temporary tables
  • Oracle global temporary tables (GTT)
  • The Oracle SQL WITH clause
  • Exercise: Test query rewritten to use temp tables

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 SQL

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 query

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_model

Upcoming Batches Schedule

03rd SepRegular7.30 am To 9.30 am
08th SepWeekend10.30 am To 02.30pm
17th SepRegular7.30 am To 9.30 am
22nd SepWeekend10.30 am To 02.30pm
This table shows all the upcoming batches for the month of Septemer 2018.