Course Outline
1 Overview
Objectives 1-2
What Is Performance Management? 1-3
Who Manages Performance? 1-4
What Does the DBA Tune? 1-5
Types of Tuning 1-6
Tuning Methodology 1-7
Effective Tuning Goals 1-9
General Tuning Session 1-11
Tuning a CDB 1-13
Performance Tuning: Diagnostics 1-14
Performance Tuning: Features and Tools 1-15
Tuning Objectives 1-16
Summary 1-17
Practice Overview 1-18
2 Defining the Scope of Performance Issues
Objectives 2-2
Defining the Problem 2-3
Limit the Scope 2-4
Determining Tuning Priorities 2-5
Common Tuning Problems 2-6
Tuning Life Cycle Phases 2-8
Tuning During the Life Cycle 2-9
Application Design and Development 2-10
Testing: Database Configuration 2-11
Deployment 2-12
Production 2-13
Migration, Upgrade, and Environment Changes 2-14
ADDM Tuning Session 2-15
Performance Versus Business Requirements 2-16
Monitoring and Tuning Tools: Overview 2-17
Summary 2-19
Practice Overview 2-20
3 Using the Time Model to Diagnose Performance Issues
Objectives 3-2
Time Model: Overview 3-3
DB Time 3-4
CPU and Wait Time Tuning Dimensions 3-5
Time Model Statistics Hierarchy 3-6
Time Model: Example 3-8
Top Timed Events 3-9
Summary 3-10
Practice Overview 3-11
4 Using Statistics and Wait Events to Diagnose Performance Issues
Objectives 4-2
Dynamic Performance Views 4-3
Dynamic Performance Views: Usage Examples 4-4
Dynamic Performance Views: Considerations 4-5
Statistic Levels 4-6
Instance Activity and Wait Event Statistics 4-8
System Statistic Classes 4-9
Displaying Statistics 4-10
Displaying SGA Statistics 4-11
Wait Events 4-12
Using the V$EVENT_NAME View 4-13
Wait Classes 4-14
Displaying Wait Event Statistics 4-15
Commonly Observed Wait Events 4-17
Using the V$SESSION_WAIT View 4-18
Precision of System Statistics 4-19
Summary 4-20
Practice Overview 4-21
5 Using Log and Trace Files to Monitor Performance
Objectives 5-2
Viewing the Alert Log 5-3
Using Alert Log Information as an Aid in Managing Performance 5-5
Administering the DDL Log File 5-6
Understanding the Debug Log File 5-7
User Trace Files 5-8
Background Processes Trace Files 5-9
Summary 5-10
Practice Overview 5-11
6 Using Enterprise Manager Cloud Control and SQL Developer to Monitor Performance
Objectives 6-2
Enterprise Manager: Overview 6-3
Configuring Enterprise Manager Database Express 6-4
Oracle Enterprise Manager Cloud Control Components 6-5
Using Features of the Oracle Management Packs and Options 6-6
Oracle SQL Developer 6-7
SQL Developer Command Line (SQLcl) 6-8
Summary 6-9
Practice Overview 6-10
7 Using Statspack to View Performance Data
Objectives 7-2
Introduction to Statspack 7-3
Statspack Scripts 7-4
Installing Statspack 7-6
Capturing Statspack Snapshots 7-7
Configuring Snapshot Data Capture 7-8
Statspack Snapshot Levels 7-9
Statspack Baselines and Purging 7-11
Reporting with Statspack 7-12
Statspack Considerations 7-13
Statspack Reports 7-14
Reading a Statspack Report 7-15
Statspack Report Drilldown Sections 7-16
Report Drilldown Examples 7-18
Load Profile Section 7-19
Time Model Section 7-20
Statspack and AWR 7-21
Summary 7-22
Practice Overview 7-23
8 Using Automatic Workload Repository
Objectives 8-2
Automatic Workload Repository: Overview 8-3
Automatic Workload Repository Data 8-4
Workload Repository 8-5
AWR Administration 8-6
AWR Snapshot Purging Policy 8-7
Managing Snapshots with PL/SQL 8-8
AWR Snapshot Settings 8-9
Manual AWR Snapshots 8-10
Managing AWR Data in a Multitenant Environment 8-11
AWR Snapshots and ADDM in a Multitenant Architecture Database 8-12
Generating AWR Reports 8-13
Reading the AWR Report 8-14
AWR Report: Multitenant Data 8-15
Generating AWR Reports by Using SQL*Plus 8-16
Statspack and AWR Reports 8-17
Reading a Statspack or an AWR Report 8-18
Compare Periods: Benefits 8-19
Snapshots and Periods Comparisons 8-20
Compare Periods: Results 8-21
Compare Periods: Report 8-22
Multitenant AWR Views 8-23
Summary 8-24
Practice Overview 8-25
9 Using Metrics and Alerts
Objectives 9-2
Metrics and Alerts 9-3
Limitation of Base Statistics 9-4
Typical Delta Tools 9-5
Oracle Database Metrics 9-6
Benefits of Metrics 9-7
Viewing Metric History Information 9-8
Viewing Metric Details 9-9
Statistic Histograms 9-10
Histogram Views 9-11
Server-Generated Alerts 9-12
Alert Usage Model 9-13
Metric and Alert Views 9-14
Summary 9-15
Practice Overview 9-16
10 Using Baselines
Objectives 10-2
Comparative Performance Analysis with AWR Baselines 10-3
Automatic Workload Repository Baselines 10-4
AWR Baselines 10-5
Types of Baselines 10-6
Moving Window Baseline 10-7
Baselines in Performance Page Settings 10-8
Baseline Templates 10-9
Creating AWR Baselines 10-10
Creating a Single AWR Baseline 10-11
Creating a Repeating Baseline and Template 10-12
Managing Baselines by Using the DBMS_WORKLOAD_REPOSITORY
Package 10-13
Generating a Baseline Template for a Single Time Period 10-14
Creating a Repeating Baseline Template 10-15
Baseline Views 10-16
Performance Monitoring and Baselines 10-17
Defining Alert Thresholds by Using a Static Baseline 10-19
Configuring a Basic Set of Thresholds 10-20
Summary 10-21
Practice 3 Overview: Using AWR Baselines 10-22
11 Managing Automated Maintenance Tasks
Objectives 11-2
Automated Maintenance Tasks 11-3
Maintenance Windows 11-4
Default Maintenance Plan 11-5
Automated Maintenance Task Priorities 11-6
Configuring Automated Maintenance Tasks 11-7
Summary 11-8
Practice Overview 11-9
12 Using ADDM to Analyze Performance
Objectives 12-2
ADDM Performance Monitoring 12-3
ADDM and Database Time 12-4
DB Time-Graph and ADDM Methodology 12-5
Top Performance Issues Detected 12-7
ADDM Recommendations 12-8
Creating a Manual ADDM Task 12-9
ADDM Tasks in a Multitenant Architecture Database 12-10
Changing ADDM Attributes 12-11
Retrieving ADDM Reports by Using SQL 12-12
Compare Periods ADDM: Analysis 12-13
Workload Compatibility 12-14
Configuring Automatic ADDM Analysis at the PDB Level 12-15
Using the DBMS_ADDM Package to Compare Periods 12-16
Example: Using the DBMS_ADDM Package to Compare Periods 12-17
Summary 12-18
Practice Overview 12-19
13 Using Active Session History Data for First Fault System Analysis
Objectives 13-2
Active Session History: Overview 13-3
Active Session History: Mechanics 13-4
ASH Sampling: Example 13-5
Accessing ASH Data 13-6
Analyzing the ASH Data 13-7
Using Enterprise Manager to Generate ASH Reports 13-8
Using the ASH Report Script to Generate a Report 13-9
ASH Report Structure 13-10
Determining the Source of Data 13-11
Performing Skew Analysis 13-12
Additional Automatic Workload Repository Views 13-13
Summary 13-14
Practice Overview 13-15
14 Using Emergency Monitoring and Real-Time ADDM to Analyze Performance Issues
Objectives 14-2
Emergency Monitoring: Challenges 14-3
Emergency Monitoring: Goals 14-4
Using Real-Time ADDM to Perform a Root-Cause Analysis 14-5
Using Real-Time ADDM 14-6
Real-Time ADDM in the Database 14-7
Using Real-Time ADDM 14-9
Viewing Real-Time ADDM Results 14-10
Summary 14-11
15 Overview of SQL Statement Processing
Objectives 15-2
SQL Statement Processing Phases 15-3
Parsing 15-4
SQL Cursor Storage 15-5
Session Cursor Cache 15-6
Cursor Usage and Parsing 15-7
SQL Statement Processing Phases: Bind 15-8
SQL Statement Processing Phases: Execute and Fetch 15-9
Processing a DML Statement 15-10
Commit Processing 15-12
Identifying Poorly Performing SQL Statements 15-13
Top SQL Reports 15-14
SQL Monitoring 15-15
Monitored SQL Execution Details 15-16
Summary 15-17
16 Maintaining Indexes
Objectives 16-2
Creating Indexes 16-3
Using Invisible and Unusable Indexes 16-4
Dropping Indexes 16-5
Reducing the Cost of SQL Operations 16-6
Index Maintenance 16-7
Using Advanced Index Compression 16-9
Other Index Options 16-10
SQL Access Advisor 16-11
Quiz 16-12
Automatic Indexing Task 16-13
Automatic Index Task Workflow 16-15
Automatic Indexing Task Reporting 16-16
Automatic Indexing Views 16-17
Summary 16-18
Practice Overview 16-19
17 Maintaining Tables
Objectives 17-2
Reducing the Cost of SQL Operations 17-3
Table Maintenance for Performance 17-4
Table Reorganization Methods 17-5
Space Management 17-6
Extent Management 17-7
Locally Managed Extents 17-8
Large Extents: Considerations 17-9
How Table Data Is Stored 17-11
Anatomy of a Database Block 17-12
Minimize Block Visits 17-13
Block Allocation 17-14
Free Lists 17-15
Block Space Management 17-16
Block Space Management with Free Lists 17-17
Automatic Segment Space Management 17-19
Automatic Segment Space Management at Work 17-20
Block Space Management with ASSM 17-21
Creating an Automatic Segment Space Management Segment 17-22
Migration and Chaining 17-23
Guidelines for PCTFREE and PCTUSED 17-25
Detecting Migration and Chaining 17-26
Selecting Migrated Rows 17-27
Eliminating Migrated Rows 17-28
Shrinking Segments: Overview 17-30
Shrinking Segments: Considerations 17-31
Shrinking Segments by Using SQL 17-32
Segment Shrink: Basic Execution 17-33
Segment Shrink: Execution Considerations 17-34
Data Compression 17-35
Advanced Row Compression: Overview 17-37
Advanced Row Compression: Concepts 17-38
Using Advanced Row Compression 17-39
Advanced Row Compression for DML Operations 17-40
Advanced Index Compression 17-41
How Does Hybrid Columnar Compression Work? 17-42
Using the Compression Advisor 17-43
Using the Compression Advisor for Indexes 17-44
Viewing Table Compression Information 17-45
Quiz 17-46
Summary 17-47
Practice Overview 17-48
18 Introduction to Query Optimizer
Objectives 18-2
Role of the Oracle Optimizer 18-3
Functions of the Query Optimizer 18-5
Selectivity 18-7
Cardinality and Cost 18-8
Changing Optimizer Behavior 18-9
Setting and Viewing Optimizer Parameters 18-10
Using Initialization Parameters to Control Optimizer Behavior 18-11
Enabling Query Optimizer Features 18-13
Influencing the Optimizer Approach 18-14
Optimizing SQL Statements 18-15
Access Paths 18-16
Choosing an Access Path 18-17
Summary 18-18
19 Understanding Execution Plans
Objectives 19-2
What Is an Execution Plan? 19-3
Methods for Viewing Execution Plans 19-4
Uses of Execution Plans 19-5
DBMS_XPLAN Package: Overview 19-6
EXPLAIN PLAN Command 19-8
EXPLAIN PLAN Command: Example 19-9
EXPLAIN PLAN Command: Output 19-10
Reading an Execution Plan 19-11
Using the V$SQL_PLAN View 19-12
Querying V$SQL_PLAN 19-13
V$SQL_PLAN_STATISTICS View 19-14
Querying the AWR 19-15
SQL*Plus AUTOTRACE 19-16
Using SQL*Plus AUTOTRACE 19-17
SQL*Plus AUTOTRACE: Statistics 19-18
Quiz 19-19
Adaptive Execution Plans 19-20
Dynamic Plans 19-21
Dynamic Plan: Adaptive Process 19-22
Dynamic Plans: Example 19-23
Continuous Adaptive Query Plans 19-24
Automatic Re-Optimization 19-25
Comparing Execution Plans 19-26
Summary 19-27
Practice Overview 19-28
20 Viewing Execution Plans by Using SQL Trace and TKPROF
Objectives 20-2
SQL Trace Facility 20-3
How to Use the SQL Trace Facility 20-5
Initialization Parameters 20-6
Enabling SQL Trace 20-8
Disabling SQL Trace 20-9
Formatting Your Trace Files 20-10
TKPROF Command Options 20-11
Output of the TKPROF Command 20-13
TKPROF Output with No Index: Example 20-18
TKPROF Output with Index: Example 20-19
Generating an Optimizer Trace 20-20
Summary 20-21
Practice Overview 20-22
21 Managing Optimizer Statistics
Objectives 21-2
Optimizer Statistics 21-3
Types of Optimizer Statistics 21-4
Optimizer Statistics Collection 21-5
Dynamic Statistics 21-7
Gathering Statistics and Setting Optimizer Statistics Preferences 21-8
Setting Statistic Preferences 21-9
Viewing and Managing Optimizer Statistics Preferences 21-11
Extended Statistics 21-12
Maintaining Optimizer Statistics 21-13
Automated Maintenance Tasks 21-14
Optimizer Statistics Advisor 21-15
Optimizer Statistics Advisor Report 21-16
Executing Optimizer Statistics Advisor Tasks 21-17
Restoring Statistics 21-18
Deferred Statistics Publishing: Overview 21-19
Deferred Statistics Publishing: Example 21-21
Managing Real-Time Statistics 21-22
Configuring High-Frequency Automatic Optimizer Statistics Collection 21-23
Summary 21-24
Practice Overview 21-25
22 Using Automatic SQL Tuning
Objectives 22-2
Automatic SQL Tuning: Overview 22-3
SQL Statement Profiling 22-4
Plan Tuning Flow and SQL Profile Creation 22-5
SQL Tuning Loop 22-6
Using SQL Profiles 22-7
Summary 22-8
23 Using the SQL Plan Management Feature
Objectives 23-2
SQL Plan Management: Overview 23-3
SQL Plan Baseline: Architecture 23-4
Loading SQL Plan Baselines 23-5
Loading SQL Plan Baselines from AWR 23-6
Evolving SQL Plan Baselines 23-7
Adaptive SQL Plan Management 23-8
Automatically Evolving SQL Plan Baseline 23-9
Including Alternate Plans in the SPM Evolve Advisor List 23-10
Important Baseline SQL Plan Attributes 23-11
SQL Plan Selection 23-12
Possible SQL Plan Manageability Scenarios 23-13
SQL Performance Analyzer and SQL Plan Baseline Scenario 23-14
Loading a SQL Plan Baseline Automatically 23-15
Purging SQL Management Base Policy 23-16
Enterprise Manager and SQL Plan Baselines 23-17
Quiz 23-18
Summary 23-19
Practice Overview 23-20
24 Overview of the SQL Advisors
Objectives 24-2
SQL Tuning Process 24-3
SQL Tuning Advisor: Overview 24-4
SQL Access Advisor: Overview 24-6
SQL Performance Analyzer: Overview 24-7
Summary 24-9
25 Using the SQL Tuning Advisor
Objectives 25-2
SQL Tuning Advisor: Overview 25-3
SQL Tuning Advisor Architecture 25-6
Automatic Tuning Optimizer 25-7
Using the SQL Tuning Advisor 25-8
SQL Tuning Advisor Options 25-9
SQL Tuning Advisor Recommendations 25-10
Alternative Execution Plans 25-11
Summary 25-13
Practice Overview 25-14
26 Using the SQL Access Advisor
Objectives 26-2
SQL Access Advisor: Overview 26-3
Using the SQL Access Advisor 26-4
Viewing Recommendations 26-5
Viewing Recommendation Details 26-6
Summary 26-7
Practice Overview 26-8
27 Overview of Real Application Testing Components
Objectives 27-2
Real Application Testing: Overview 27-3
Real Application Testing: Use Cases 27-4
Summary 27-5
28 Using SQL Performance Analyzer to Determine the Impact of Changes
Objectives 28-2
SQL Performance Analyzer: Process 28-3
Steps 6-7: Comparing/Analyzing Performance and Tuning Regressed SQL 28-5
Capturing the SQL Workload 28-6
Creating a SQL Performance Analyzer Task 28-7
SQL Performance Analyzer Task Page 28-8
SQL Performance Analyzer: PL/SQL Example 28-9
Tuning Regressed SQL Statements 28-11
SQL Performance Analyzer: Data Dictionary Views 28-12
Quiz 28-13
Summary 28-14
Practice Overview 28-15
29 Using Database Replay to Test System Performance
Objectives 29-2
Using Database Replay 29-3
The Big Picture 29-4
System Architecture: Capture 29-5
System Architecture: Processing the Workload 29-7
System Architecture: Replay 29-8
Database Replay Workflow in Enterprise Manager 29-9
Accessing Database Replay in Enterprise Manager 29-10
Capture Considerations 29-11
Replay Considerations: Preparation 29-13
Replay Considerations 29-14
Replay Customized Options 29-15
Replay Analysis 29-16
Quiz 29-17
Database Replay Packages 29-18
Data Dictionary Views: Database Replay 29-19
Database Replay: PL/SQL Example 29-20
Calibrating Replay Clients 29-22
Capturing and Replaying in a CDB and PDBs 29-23
Reporting 29-24
Quiz 29-25
Summary 29-26
Practice Overview 29-27
30 Implementing Real-Time Database Operation Monitoring
Objectives 30-2
Overview 30-3
Use Cases 30-4
Defining a DB Operation 30-5
Scope of a Composite DB Operation 30-6
Database Operation Concepts 30-7
Identifying a Database Operation 30-8
Enabling Monitoring of Database Operations 30-9
Identifying, Starting, and Completing a Database Operation 30-10
Monitoring Database Operations in Sessions 30-11
Monitoring the Progress of a Database Operation 30-12
Monitoring Load Database Operations 30-13
Monitoring Load Database Operation Details 30-14
Database Operation View: V$SQL_MONITOR 30-15
Database Operation Views 30-16
Reporting Database Operations by Using Functions 30-17
Database Operation Tuning 30-18
Summary 30-19
Practice Overview 30-20
31 Using Services to Monitor Applications
Objectives 31-2
What is a service? 31-3
Service Attributes 31-4
Service Types 31-5
Creating Services 31-6
Using the DBMS_SERVICE Package to Manage Services 31-7
Where are services used? 31-8
Using Services with Client Applications 31-9
Using Services with the Resource Manager 31-10
Using Enterprise Manager to Manage Consumer Group Mappings 31-11
Services and the Resource Manager: Example 31-12
Using Enterprise Manager to Create a Job Class 31-13
Using Enterprise Manager to Create a Job 31-14
Services and the Scheduler: Example 31-15
Using Services with Metric Thresholds 31-16
Using Enterprise Manager to Change Service Thresholds 31-17
Services and Metric Thresholds: Example 31-18
Service Aggregation and Tracing 31-19
Top Services Performance Page 31-20
Service Aggregation Configuration 31-21
Service Aggregation: Example 31-22
Client Identifier Aggregation and Tracing 31-23
Using the TRCSESS Utility 31-24
Service Performance Views 31-25
Summary 31-27
Practice Overview 31-28
32 Overview of Memory Structures
Objectives 32-2
Managing Memory Caches and Structures 32-3
Guidelines for Efficient Memory Usage 32-4
Summary 32-6
Practice Overview 32-7
33 Managing Shared Pool Performance
Objectives 33-2
Shared Pool Architecture 33-3
Shared Pool Operation 33-4
Library Cache 33-5
Latch and Mutex 33-6
Latch and Mutex: Views and Statistics 33-8
Diagnostic Tools for Tuning the Shared Pool 33-10
AWR/Statspack Indicators 33-11
Top Timed Events 33-12
Time Model 33-13
Load Profile 33-14
Instance Efficiencies 33-15
Library Cache Activity 33-16
Avoid Hard Parses 33-17
Are Cursors Being Shared? 33-18
Candidate Cursors for Sharing 33-19
Sharing Cursors 33-20
Adaptive Cursor Sharing: Example 33-21
Adaptive Cursor Sharing Views 33-23
Interacting with Adaptive Cursor Sharing 33-24
Reduce the Cost of Soft Parses 33-25
Quiz 33-26
Sizing the Shared Pool 33-27
Shared Pool Advisory 33-28
Shared Pool Advisory in an AWR Report 33-29
Shared Pool Advisor 33-30
Avoiding Fragmentation 33-31
Large Memory Requirements 33-32
Tuning the Shared Pool Reserved Pool 33-34
Keeping Large Objects 33-36
Data Dictionary Cache 33-38
Dictionary Cache Misses 33-39
SQL Query Result Cache: Overview 33-40
Managing the SQL Query Result Cache 33-41
Using the RESULT_CACHE Hint 33-43
Using Table Annotation to Control Result Caching 33-44
Using the DBMS_RESULT_CACHE Package 33-45
Viewing SQL Result Cache Dictionary Information 33-46
SQL Query Result Cache: Considerations 33-47
Summary 33-48
Practice Overview 33-49
34 Managing Buffer Cache Performance
Objectives 34-2
Buffer Cache: Highlights 34-3
Database Buffers 34-4
Buffer Hash Table for Lookups 34-5
Working Sets 34-6
Tuning Goals and Techniques 34-8
Symptoms of a Buffer Cache Issue 34-10
Cache Buffer Chains Latch Contention 34-11
Finding Hot Segments 34-12
Buffer Busy Waits 34-13
Buffer Cache Hit Ratio 34-14
Buffer Cache Hit Ratio is Not Everything 34-15
Interpreting Buffer Cache Hit Ratio 34-16
Read Waits 34-17
Free Buffer Waits 34-18
Solutions for Buffer Cache Issues 34-19
Sizing the Buffer Cache 34-20
Buffer Cache Size Parameters 34-21
Dynamic Buffer Cache Advisory Parameter 34-22
Buffer Cache Advisory View 34-23
Using the V$DB_CACHE_ADVICE View 34-24
Using the Buffer Cache Advisor 34-25
Caching Tables 34-26
Automatic Big Table Caching 34-27
Configuring Automatic Big Table Caching 34-28
Using Automatic Big Table Caching 34-29
Monitoring Automatic Big Table Caching 34-30
Memoptimized Rowstore 34-31
In-Memory Hash Index 34-32
Multiple Buffer Pools 34-33
Enabling Multiple Buffer Pools 34-34
Calculating the Hit Ratio for Multiple Pools 34-35
Multiple Block Sizes 34-36
Multiple Database Writers 34-37
Multiple I/O Slaves 34-38
Using Multiple Writers and I/O Slaves 34-39
Private Pool for I/O-Intensive Operations 34-40
Automatically Tuned Multiblock Reads 34-41
Database Smart Flash Cache Overview 34-42
Using Database Smart Flash Cache 34-43
Database Smart Flash Cache Architecture Overview 34-44
Configuring Database Smart Flash Cache 34-45
Sizing Database Smart Flash Cache 34-46
Enabling and Disabling Flash Devices 34-47
Specifying Database Smart Flash Cache for a Table 34-48
Full Database In-Memory Caching 34-49
Setting Up Force Full Database Caching 34-50
Monitoring Full Database In-Memory Caching 34-51
Flushing the Buffer Cache (for Testing Only) 34-52
Summary 34-53
Practice Overview 34-54
35 Managing PGA and Temporary Space Performance
Objectives 35-2
SQL Memory Usage 35-3
Performance Impact 35-4
Automatic PGA Memory 35-5
SQL Memory Manager 35-6
Configuring Automatic PGA Memory 35-7
Setting PGA_AGGREGATE_TARGET Initially 35-8
Limiting the Size of the Program Global Area 35-9
Managing the PGA for PDBs 35-10
Monitoring SQL Memory Usage 35-11
Monitoring SQL Memory Usage: Examples 35-12
Tuning SQL Memory Usage 35-13
PGA Target Advice Statistics 35-14
PGA Target Advice Histograms 35-15
Automatic PGA and Enterprise Manager 35-16
Automatic PGA and AWR Reports 35-17
Temporary Tablespace Management: Overview 35-18
Temporary Tablespace: Locally Managed 35-19
Configuring Temporary Tablespace 35-20
Temporary Tablespace Group: Overview 35-22
Temporary Tablespace Group: Benefits 35-23
Creating Temporary Tablespace Groups 35-24
Maintaining Temporary Tablespace Groups 35-25
Viewing Tablespace Groups 35-26
Monitoring Temporary Tablespace 35-27
Shrinking a Temporary Tablespace 35-28
Using the Tablespace Option When Creating a Temporary Table 35-29
Quiz 35-30
Summary 35-31
Practice Overview 35-32
36 Configuring the Large Pool
Objectives 36-2
Large Pool Overview 36-3
Tuning the Large Pool 36-4
Summary 36-5
37 Using Automatic Shared Memory Management
Objectives 37-2
Oracle Database Architecture 37-3
Granules 37-4
Automatic Shared Memory Management: Overview 37-5
SGA Sizing Parameters: Overview 37-6
Dynamic SGA Transfer Modes 37-7
Memory Broker Architecture 37-8
Manually Resizing Dynamic SGA Parameters 37-9
Behavior of Auto-Tuned SGA Parameters 37-10
Behavior of Manually Tuned SGA Components 37-11
Using the V$SYSTEM_PARAMETER View 37-12
Resizing SGA_TARGET 37-13
Disabling Automatic Shared Memory Management 37-14
Using the SGA Advisor 37-15
Monitoring ASMM 37-16
Managing SGA for PDBs 37-17
Summary 37-18
Practice Overview 37-19
38 Introduction to In-Memory Column Store
Objectives 38-2
Database In-Memory Feature Set 38-3
Goals of In-Memory Column Store 38-5
Benefits 38-7
Overview 38-8
Row Store Versus Column Store: 2D Vision 38-10
In-Memory Column Unit 38-11
Compare: In-Memory Column Store Cache and Buffer Cache 38-12
Dual Format In-Memory 38-13
Indexes Issues 38-14
Process 38-15
In-Memory Column Store: Dual Format of Segments in SGA 38-16
Summary 38-17
39 Configuring the In-Memory Column Store Feature
Objectives 39-2
Deploying IM Column Store 39-3
Deploying IM Column Store: Objects Setting 39-4
Deploying IM Column Store: Columns Setting 39-5
Defining IM Column Store Compression 39-6
In-Memory Advisor 39-7
IM Advisor or Compression Advisor? 39-8
Computing Compression Ratio 39-9
IM FastStart 39-10
Automatic In-Memory: Overview 39-11
AIM Action 39-12
Configuring Automatic In-Memory 39-13
Diagnostic Views 39-14
Summary 39-15
Practice Overview 39-16
40 Using the In-Memory Column Store Feature to Improve SQL Performance
Objectives 40-2
Query Benefits 40-3
Testing and Comparing Query Performance 40-4
Queries on In-Memory Tables: Simple Predicate 40-5
MINMAX Pruning Statistics 40-6
IM Column Store Statistics 40-7
Execution Plan: TABLE ACCESS IN MEMORY FULL 40-8
Queries on In-Memory Tables: Join 40-9
Execution Plan: JOIN FILTER CREATE / USE 40-10
Queries on In-Memory Tables: Join Groups 40-11
Population of Expressions and Virtual Columns Results 40-12
In-Memory Expression Unit (IMEU) 40-14
Populating In-Memory Expression Results 40-15
Populating In-Memory Expression Results Within a Window 40-17
Waiting for In-Memory Segments to be Populated 40-18
Views 40-19
Summary 40-20
Practice Overview 40-21
41 Using In-Memory Column Store with Oracle Database Features
Objectives 41-2
Interaction with Other Products 41-3
Optimizer 41-4
IM Column Store and Real Application Clusters 41-6
IM Column Store and Data Pump 41-7
Data Pump TRANSFORM Names 41-8
Automatic Data Optimization Interaction 41-9
Managing Heat Map and Automatic Data Optimization Policies 41-10
Creating ADO In-Memory Policies 41-12
Summary 41-13
Practice Overview 41-14
Requirements
Testimonials (7)
I like this training because it was interactive
Amalia - Banca Transilvania
Course - SQL Fundamentals
the practices and the trainer notes
Hamda AlMahri - Dubai Courts
Course - ORACLE PL/SQL Fundamentals
Luka is an excellent, patient teacher with a sense of humor. His relaxed style made the stressful experience of "be called to the blackboard" more pleasant. Also one student explaining or guiding the other was a very good idea. I will use the motto "KISS methodology" he shared with us in both my SQL exercises , private and professional life since I like to overcomplicate things. Luka also kept the good pace considering how much material was there for him to show and for us to learn.
IWONA KLIMASZEWSKA - GP Strategies Poland sp. z o.o.
Course - ORACLE SQL Fundamentals
Luke was opened to answer any question and explain multiple times until everyone understood the exercises.
Alexandra Popa - OTP BANK ROMANIA S.A.
Course - Oracle SQL Language
I liked the way the trainer explained the information about the topics and the fact that he paid attention to the details so that the lessons were very practical and logical.
Andreea
Course - Oracle SQL for beginners
I like fact, that after each section we had exercises. It helps to remember discussed topic.
Adam Bińczycki
Course - Oracle 11g - SQL language for developers - Workshop
Trainer expertise on SQL tuning