SlideShare a Scribd company logo

Myth busters - performance tuning 103 2008

•
•
P
paulguerin

The document discusses various sources of waste and performance issues in the NETS database, along with improvements made over two years to address these issues. Key sources of waste included unused indexes, inefficient index placement, sparse table blocks from nologging inserts, and excessive temporary work areas from sorting. Improvements such as SQL tuning, rebuilds to increase block density, and compressed objects helped reduce waste and contention for storage and processing resources. Ongoing efforts aim to further optimize reliability, capacity planning, disaster recovery, and workload processing.

TechnologyNews & Politics
1 of 33
December 2008 MythBusters - performance tuning 103 Paul Guerin Bachelor of Engineering (Computer) Oracle DBA Certified Professional DBA 10+ years Employers: Origin Energy, Bluescope Steel, BHP Billiton
Topics ,[object Object],[object Object]
How data is stored ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from nologging inserts ,[object Object],[object Object],[object Object],[object Object]
Waste from nologging inserts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methods to delete everything from a table ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from statement processing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waste from excessively large workareas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reclaiming waste ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reclaiming waste ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contention for capacity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contention related myths ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Good database practices….. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operational improvements on NETS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Recommended

Exadata - BULK DATA LOAD Testing on Database Machine
Exadata - BULK DATA LOAD Testing on Database Machine Exadata - BULK DATA LOAD Testing on Database Machine
Exadata - BULK DATA LOAD Testing on Database Machine Monowar Mukul
 
Testing Delphix: easy data virtualization
Testing Delphix: easy data virtualizationTesting Delphix: easy data virtualization
Testing Delphix: easy data virtualizationFranck Pachot
 
Oracle NOLOGGING
Oracle NOLOGGINGOracle NOLOGGING
Oracle NOLOGGINGFranck Pachot
 
Hypertable Distilled by edydkim.github.com
Hypertable Distilled by edydkim.github.comHypertable Distilled by edydkim.github.com
Hypertable Distilled by edydkim.github.comEdward D. Kim
 
Oracle in-Memory Column Store for BI
Oracle in-Memory Column Store for BIOracle in-Memory Column Store for BI
Oracle in-Memory Column Store for BIFranck Pachot
 
Postgresql Database Administration Basic - Day1
Postgresql Database Administration Basic - Day1Postgresql Database Administration Basic - Day1
Postgresql Database Administration Basic - Day1PoguttuezhiniVP
 
CBO choice between Index and Full Scan: the good, the bad and the ugly param...
CBO choice between Index and Full Scan: the good, the bad and the ugly param...CBO choice between Index and Full Scan: the good, the bad and the ugly param...
CBO choice between Index and Full Scan: the good, the bad and the ugly param...Franck Pachot
 
Oracle interview question & answers
Oracle interview question & answersOracle interview question & answers
Oracle interview question & answersMohammad Wasi
 

Recommended

Exadata - BULK DATA LOAD Testing on Database Machine
Exadata - BULK DATA LOAD Testing on Database Machine Exadata - BULK DATA LOAD Testing on Database Machine
Exadata - BULK DATA LOAD Testing on Database Machine Monowar Mukul
 
Testing Delphix: easy data virtualization
Testing Delphix: easy data virtualizationTesting Delphix: easy data virtualization
Testing Delphix: easy data virtualizationFranck Pachot
 
Oracle NOLOGGING
Oracle NOLOGGINGOracle NOLOGGING
Oracle NOLOGGINGFranck Pachot
 
Hypertable Distilled by edydkim.github.com
Hypertable Distilled by edydkim.github.comHypertable Distilled by edydkim.github.com
Hypertable Distilled by edydkim.github.comEdward D. Kim
 
Oracle in-Memory Column Store for BI
Oracle in-Memory Column Store for BIOracle in-Memory Column Store for BI
Oracle in-Memory Column Store for BIFranck Pachot
 
Postgresql Database Administration Basic - Day1
Postgresql Database Administration Basic - Day1Postgresql Database Administration Basic - Day1
Postgresql Database Administration Basic - Day1PoguttuezhiniVP
 
CBO choice between Index and Full Scan: the good, the bad and the ugly param...
CBO choice between Index and Full Scan: the good, the bad and the ugly param...CBO choice between Index and Full Scan: the good, the bad and the ugly param...
CBO choice between Index and Full Scan: the good, the bad and the ugly param...Franck Pachot
 
Oracle interview question & answers
Oracle interview question & answersOracle interview question & answers
Oracle interview question & answersMohammad Wasi
 
Plmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_finalPlmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_finalMarco Tusa
 
Hbase
HbaseHbase
HbaseVetri V
 
Mysql database basic user guide
Mysql database basic user guideMysql database basic user guide
Mysql database basic user guidePoguttuezhiniVP
 
Sap basis administrator user guide
Sap basis administrator user guideSap basis administrator user guide
Sap basis administrator user guidePoguttuezhiniVP
 
How to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon RedshiftHow to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon RedshiftAWS Germany
 
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSPractical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSCuneyt Goksu
 
tempdb and Performance Keys
tempdb and Performance Keystempdb and Performance Keys
tempdb and Performance KeysNaji El Kotob
 
Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2PoguttuezhiniVP
 
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...BertrandDrouvot
 
Hive
HiveHive
HiveVetri V
 
Cassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQLCassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQLJoshua McKenzie
 
Dbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easyDbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easyFranck Pachot
 
Orcale dba training
Orcale dba trainingOrcale dba training
Orcale dba trainingunited global soft
 
Oracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive PlansOracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive PlansFranck Pachot
 
MySQL database replication
MySQL database replicationMySQL database replication
MySQL database replicationPoguttuezhiniVP
 
Implementing the Databese Server session 02
Implementing the Databese Server session 02Implementing the Databese Server session 02
Implementing the Databese Server session 02Guillermo Julca
 
Microsoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and FilegroupsMicrosoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and FilegroupsNaji El Kotob
 
Inno db datafiles backup and retore
Inno db datafiles backup and retoreInno db datafiles backup and retore
Inno db datafiles backup and retoreVasudeva Rao
 
Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008paulguerin
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptIftikhar70
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptsubbu998029
 
Stack It And Unpack It
Stack It And Unpack ItStack It And Unpack It
Stack It And Unpack ItJeff Moss
 

More Related Content

What's hot

Plmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_finalPlmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_finalMarco Tusa
 
Mysql database basic user guide
Mysql database basic user guideMysql database basic user guide
Mysql database basic user guidePoguttuezhiniVP
 
Sap basis administrator user guide
Sap basis administrator user guideSap basis administrator user guide
Sap basis administrator user guidePoguttuezhiniVP
 
How to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon RedshiftHow to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon RedshiftAWS Germany
 
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSPractical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSCuneyt Goksu
 
tempdb and Performance Keys
tempdb and Performance Keystempdb and Performance Keys
tempdb and Performance KeysNaji El Kotob
 
Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2PoguttuezhiniVP
 
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...BertrandDrouvot
 
Cassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQLCassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQLJoshua McKenzie
 
Dbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easyDbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easyFranck Pachot
 
Oracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive PlansOracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive PlansFranck Pachot
 
MySQL database replication
MySQL database replicationMySQL database replication
MySQL database replicationPoguttuezhiniVP
 
Implementing the Databese Server session 02
Implementing the Databese Server session 02Implementing the Databese Server session 02
Implementing the Databese Server session 02Guillermo Julca
 
Microsoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and FilegroupsMicrosoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and FilegroupsNaji El Kotob
 
Inno db datafiles backup and retore
Inno db datafiles backup and retoreInno db datafiles backup and retore
Inno db datafiles backup and retoreVasudeva Rao
 

What's hot (18)

Plmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_finalPlmce 14 be a_hero_16x9_final
Plmce 14 be a_hero_16x9_final
 
Hbase
HbaseHbase
Hbase
 
Mysql database basic user guide
Mysql database basic user guideMysql database basic user guide
Mysql database basic user guide
 
Sap basis administrator user guide
Sap basis administrator user guideSap basis administrator user guide
Sap basis administrator user guide
 
How to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon RedshiftHow to Fine-Tune Performance Using Amazon Redshift
How to Fine-Tune Performance Using Amazon Redshift
 
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OSPractical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
Practical Recipes for Daily DBA Activities using DB2 9 and 10 for z/OS
 
tempdb and Performance Keys
tempdb and Performance Keystempdb and Performance Keys
tempdb and Performance Keys
 
Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2Postgresql Database Administration Basic - Day2
Postgresql Database Administration Basic - Day2
 
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...
 
Hive
HiveHive
Hive
 
Cassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQLCassandra 2.1 boot camp, Protocol, Queries, CQL
Cassandra 2.1 boot camp, Protocol, Queries, CQL
 
Dbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easyDbvisit replicate: logical replication made easy
Dbvisit replicate: logical replication made easy
 
Orcale dba training
Orcale dba trainingOrcale dba training
Orcale dba training
 
Oracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive PlansOracle Join Methods and 12c Adaptive Plans
Oracle Join Methods and 12c Adaptive Plans
 
MySQL database replication
MySQL database replicationMySQL database replication
MySQL database replication
 
Implementing the Databese Server session 02
Implementing the Databese Server session 02Implementing the Databese Server session 02
Implementing the Databese Server session 02
 
Microsoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and FilegroupsMicrosoft SQL Server - Files and Filegroups
Microsoft SQL Server - Files and Filegroups
 
Inno db datafiles backup and retore
Inno db datafiles backup and retoreInno db datafiles backup and retore
Inno db datafiles backup and retore
 

Similar to Myth busters - performance tuning 103 2008

Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008paulguerin
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptIftikhar70
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptsubbu998029
 
Stack It And Unpack It
Stack It And Unpack ItStack It And Unpack It
Stack It And Unpack ItJeff Moss
 
PostgreSQL Table Partitioning / Sharding
PostgreSQL Table Partitioning / ShardingPostgreSQL Table Partitioning / Sharding
PostgreSQL Table Partitioning / ShardingAmir Reza Hashemi
 
8 i locally_mgr_tbsp
8 i locally_mgr_tbsp8 i locally_mgr_tbsp
8 i locally_mgr_tbspAnil Pandey
 
Architectural Anti Patterns - Notes on Data Distribution and Handling Failures
Architectural Anti Patterns - Notes on Data Distribution and Handling FailuresArchitectural Anti Patterns - Notes on Data Distribution and Handling Failures
Architectural Anti Patterns - Notes on Data Distribution and Handling FailuresGleicon Moraes
 
SQL Server In-Memory OLTP introduction (Hekaton)
SQL Server In-Memory OLTP introduction (Hekaton)SQL Server In-Memory OLTP introduction (Hekaton)
SQL Server In-Memory OLTP introduction (Hekaton)Shy Engelberg
 
Mohan Testing
Mohan TestingMohan Testing
Mohan Testingsmittal81
 
Database Performance Tuning
Database Performance Tuning Database Performance Tuning
Database Performance Tuning Arno Huetter
 
White paper on Spool space in teradata
White paper on Spool space in teradataWhite paper on Spool space in teradata
White paper on Spool space in teradataSanjeev Kumar Jaiswal
 
High Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseHigh Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseAltinity Ltd
 
Teched03 Index Maint Tony Bain
Teched03 Index Maint Tony BainTeched03 Index Maint Tony Bain
Teched03 Index Maint Tony BainTony Bain
 
IBM DB2 for z/OS Administration Basics
IBM DB2 for z/OS Administration BasicsIBM DB2 for z/OS Administration Basics
IBM DB2 for z/OS Administration BasicsIBM
 
SQL Server 2014 Memory Optimised Tables - Advanced
SQL Server 2014 Memory Optimised Tables - AdvancedSQL Server 2014 Memory Optimised Tables - Advanced
SQL Server 2014 Memory Optimised Tables - AdvancedTony Rogerson
 
MemSQL 201: Advanced Tips and Tricks Webcast
MemSQL 201: Advanced Tips and Tricks WebcastMemSQL 201: Advanced Tips and Tricks Webcast
MemSQL 201: Advanced Tips and Tricks WebcastSingleStore
 
Indy pass writing efficient queries – part 1 - indexing
Indy pass writing efficient queries – part 1 - indexingIndy pass writing efficient queries – part 1 - indexing
Indy pass writing efficient queries – part 1 - indexingeddiew
 

Similar to Myth busters - performance tuning 103 2008 (20)

Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008Myth busters - performance tuning 102 2008
Myth busters - performance tuning 102 2008
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.ppt
 
database-stucture-and-space-managment.ppt
database-stucture-and-space-managment.pptdatabase-stucture-and-space-managment.ppt
database-stucture-and-space-managment.ppt
 
Stack It And Unpack It
Stack It And Unpack ItStack It And Unpack It
Stack It And Unpack It
 
Extentnumbers
ExtentnumbersExtentnumbers
Extentnumbers
 
PostgreSQL Table Partitioning / Sharding
PostgreSQL Table Partitioning / ShardingPostgreSQL Table Partitioning / Sharding
PostgreSQL Table Partitioning / Sharding
 
8 i locally_mgr_tbsp
8 i locally_mgr_tbsp8 i locally_mgr_tbsp
8 i locally_mgr_tbsp
 
Architectural Anti Patterns - Notes on Data Distribution and Handling Failures
Architectural Anti Patterns - Notes on Data Distribution and Handling FailuresArchitectural Anti Patterns - Notes on Data Distribution and Handling Failures
Architectural Anti Patterns - Notes on Data Distribution and Handling Failures
 
SQL Server In-Memory OLTP introduction (Hekaton)
SQL Server In-Memory OLTP introduction (Hekaton)SQL Server In-Memory OLTP introduction (Hekaton)
SQL Server In-Memory OLTP introduction (Hekaton)
 
Mohan Testing
Mohan TestingMohan Testing
Mohan Testing
 
Database Performance Tuning
Database Performance Tuning Database Performance Tuning
Database Performance Tuning
 
White paper on Spool space in teradata
White paper on Spool space in teradataWhite paper on Spool space in teradata
White paper on Spool space in teradata
 
High Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseHigh Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouse
 
Teched03 Index Maint Tony Bain
Teched03 Index Maint Tony BainTeched03 Index Maint Tony Bain
Teched03 Index Maint Tony Bain
 
DB2 TABLESPACES
DB2 TABLESPACESDB2 TABLESPACES
DB2 TABLESPACES
 
IBM DB2 for z/OS Administration Basics
IBM DB2 for z/OS Administration BasicsIBM DB2 for z/OS Administration Basics
IBM DB2 for z/OS Administration Basics
 
SQL Server 2014 Memory Optimised Tables - Advanced
SQL Server 2014 Memory Optimised Tables - AdvancedSQL Server 2014 Memory Optimised Tables - Advanced
SQL Server 2014 Memory Optimised Tables - Advanced
 
Tablespacelmt
TablespacelmtTablespacelmt
Tablespacelmt
 
MemSQL 201: Advanced Tips and Tricks Webcast
MemSQL 201: Advanced Tips and Tricks WebcastMemSQL 201: Advanced Tips and Tricks Webcast
MemSQL 201: Advanced Tips and Tricks Webcast
 
Indy pass writing efficient queries – part 1 - indexing
Indy pass writing efficient queries – part 1 - indexingIndy pass writing efficient queries – part 1 - indexing
Indy pass writing efficient queries – part 1 - indexing
 

More from paulguerin

In Sync11 Presentation The Biggest Loser
In Sync11 Presentation The Biggest LoserIn Sync11 Presentation The Biggest Loser
In Sync11 Presentation The Biggest Loserpaulguerin
 
Myth busters - performance tuning 101 2007
Myth busters - performance tuning 101 2007Myth busters - performance tuning 101 2007
Myth busters - performance tuning 101 2007paulguerin
 
Automation system performance myths
Automation system performance mythsAutomation system performance myths
Automation system performance mythspaulguerin
 
Sydney Oracle Meetup - indexes
Sydney Oracle Meetup - indexesSydney Oracle Meetup - indexes
Sydney Oracle Meetup - indexespaulguerin
 
Sydney Oracle Meetup - execution plans
Sydney Oracle Meetup - execution plansSydney Oracle Meetup - execution plans
Sydney Oracle Meetup - execution planspaulguerin
 
Sydney Oracle Meetup - access paths
Sydney Oracle Meetup - access pathsSydney Oracle Meetup - access paths
Sydney Oracle Meetup - access pathspaulguerin
 

More from paulguerin (6)

In Sync11 Presentation The Biggest Loser
In Sync11 Presentation The Biggest LoserIn Sync11 Presentation The Biggest Loser
In Sync11 Presentation The Biggest Loser
 
Myth busters - performance tuning 101 2007
Myth busters - performance tuning 101 2007Myth busters - performance tuning 101 2007
Myth busters - performance tuning 101 2007
 
Automation system performance myths
Automation system performance mythsAutomation system performance myths
Automation system performance myths
 
Sydney Oracle Meetup - indexes
Sydney Oracle Meetup - indexesSydney Oracle Meetup - indexes
Sydney Oracle Meetup - indexes
 
Sydney Oracle Meetup - execution plans
Sydney Oracle Meetup - execution plansSydney Oracle Meetup - execution plans
Sydney Oracle Meetup - execution plans
 
Sydney Oracle Meetup - access paths
Sydney Oracle Meetup - access pathsSydney Oracle Meetup - access paths
Sydney Oracle Meetup - access paths
 

Recently uploaded

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 

Recently uploaded (20)

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 

Myth busters - performance tuning 103 2008

  • 1. December 2008 MythBusters - performance tuning 103 Paul Guerin Bachelor of Engineering (Computer) Oracle DBA Certified Professional DBA 10+ years Employers: Origin Energy, Bluescope Steel, BHP Billiton
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.