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Start Training Courses and Schedule DB2 LUW Performance Tuning and Monitoring for Single and Multiple Partition DBs  (CF444)

DB2 LUW Performance Tuning and Monitoring for Single and Multiple Partition DBs  (CF444)

 

If you are in a single partition environment you should enroll in (CF413). Learn how to tune for optimum performance the IBM DB2 9 for Linux, UNIX, and Windows relational database management system andassociated applications written for this environment. Learn about DB2 9 for Linux, UNIX, and Windows in support of single partition and multiple partition (DPF) database environments. Explore performance issues affecting the design of the database and applications using the database, the major database performance parameters, and the different tools that assist in performance monitoring and tuning. Use tools in class that are common across the Linux, UNIX, and Windows operating systems environments. During labs running on DB2 9, develop your ability to use monitoring tools, explain tools and DB2 utilities like RUNSTATS, REORG and db2batch to tune a database running on your local LINUX workstation using single and multiple partition DB2 databases.. The course materials cover DB2 9 for Linux, UNIX, and Windows.

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Skills Gained
  After completing this course, you should be able to:
 

Define the impact of database design (tables, indexes, and data placement) on database performance
Describe database application programming considerations and how they affect performance
Identify and describe the parameters (database and non-database) that affect performance
Tune parameters to achieve optimum performance for Online Transaction processing (OLTP) or Data Warehouse environments
Identify and use the tools that assist in monitoring and tuning of single partition and multiple partition (DPF) databases
Analyze explain reports to identify the access strategies selected by the DB2 optimizer for execution of SQL statements including the selection of indexes, join techniques, sorts and table queues.


Who Can Benefit
  This is an advanced course for Database administrators, application developers, vendors, and consultants concerned with the performance aspects of planning, implementing, and maintaining DB2 UDB in a multipartition environment.
 
Prerequisites
  You should complete:
 

DB2 UDB Multi Partition Database Administration Workshop for UNIX (CF241) or
DB2 UDB Multi Partition Environment for Single Partition DBAs (CG241)
and be able to administer a DB2 UDB partitioned database


IBM Education Advantage Program eligibility:
 
 

Yes - IBM Education Pack - online account


 
     
  Email Training Course
     
Code: CF444
Length: 5 days
Type: Instructor-Led
   
Certified By: IBM
Tuition: $3,250
   
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training course details
Monitoring the Database
  • Describe the basic principles in monitoring a DB2 database
  • List the tools for monitoring Database and Application activity
  • Use GET SNAPSHOT commands to produce reports for analysis of database performance.
  • Utilize the Administrative Routines and Views provided by to DB2 to simplify application access to database performance statistics
  • Use the db2pd to perform performance analysis or problem determination for a DB2 database
Database I/O Management
  • Describe processing for Reading Database Pages into Buffer Pools
  • Describe processing for Writing Database Pages from Buffer Pools
  • Monitor Database Read and Write Activity using GET SNAPSHOT commands or Administrative Routines and Views
  • Monitor Database Logging Activity and select appropriate values for SOFTMAX and MINCOMMIT
  • Implement and monitor use of a block based buffer pool to improve table scan performance
  • Describe the alternate page cleaning processing associated with the DB2 Registry variable DB2_USE_ALTERNATE_PAGE_CLEANING
Tablespace Design for Performance
  • Select appropriate values for tablespace page size and extent size to support application performance requirements
  • Choose a prefetch size for a tablespace or select automatic adjustment of prefetch size
  • List the advantages of selecting Database Managed Storage (DMS) or System Managed Storage (SMS) tablespace management as well as using Automatic Storage managed tablespaces
  • Set file system caching options for tablespaces to optimize tablespace performance
  • Describe the various row insertion algorithms for tables for tables based on the APPEND option or a clustering index
  • Implement Large Row Identifier (RID) support for selected tablespaces and tables
  • Plan and Implement Row Compression to reduce disk and memory requirements and improve application performance
Database Memory Management
  • Describe memory heap usage for Instance memory, Database shared memory and agent private memory
  • Explain the management of database shared memory based on setting the configuration option DATABASE_MEMORY to AUTOMATIC, COMPUTED or a specific number of pages.
  • Select the mode for managing data sort memory using SHEAPTHRES, SORTHEAP, and SHEAPTHRES_SHR.
  • Monitor DB2 memory usage using the db2mtrk command or the graphical application Memory Visualizer.
  • Utilize the db2pd for monitoring current database memory usage
  • Use AUTOCONFIGURE to set database configuration defaults when a new database is created or after a database workload changes
Automatic Memory Management
  • Describe how Self-Tuning Memory Manager (STMM) can be used to automatically manage database shared memory heaps
  • Explain the differences in STMM processing based on the setting of DATABASE_MEMORY
  • Plan and configure a database for self tuning memory
  • Activate or deactivate STMM for selected memory heaps
  • Describe the management of sortheap memory based on the configuration of sheapthres and sheapthres_shr
  • Explain how DB2 can automatically increase or decrease database memory for multiple DB2 databases running on the same server
Using Explain Tools
  • Describe the advantages of using visual explain
  • Describe the advantages of using db2exfmt
  • Create special tables used by visual explain and db2exfmt
  • Use the db2expln explain tool to analyze an access plan for status or dynamic SQL
  • Identify how to set the explain snapshot and explain mode registers to capture the information of interest
  • Differentiate between the different methods of viewing explain information
The DB2 Optimizer
  • Describe the stages of the SQL compiler
  • Choose the right optimization level
  • Explain the effects of database configuration including CPUSPEED, Tablespace OVERHEAD and TRANSFERRATE or optimizer access plans and costs
  • Apply strategies to facilitate the optimizer to produce better access plans
  • Use the RUNSTATS UTILITY options to collect accurate statistics to improve access plan selection
  • Implement a Statistical View and collect statistics with RUNSTATS to improve the result cardinality estimates and generate more efficient access plans
Using Indexes for Performance
  • Describe the Indexing options that can be used to improve performance including: Index Only Access, Clustered Index, Reverse Scans, Include Columns, and Index Freespace
  • Describe the Block Indexing capability for Multiple Dimensional Clustering (MDC) tables
  • Explain how multiple indexes can be combined using Index ORing and Dynamic Bitmap Index ANDing
  • Use the Design Advisor to predict performance gains from adding new indexes
Complex SQL Performance
  • Describe the types of parallel sort strategies that can be used when Intra-partition parallelism is used to improve sort performance
  • Explain the processing for Nested Loop joins, Merge Scan joins and Hash joins
  • Plan and implement a Materialized Query Table to improve query performance
  • Utilize the design advisor to predict performance improvements for implementation of Materialized Query Table (MQTs)
  • Describe the use of multiple table spaces for the data and indexes of a Range Partitioned Table.
  • Plan the implementation of a Range Partitioned Table to support Roll-in and Roll-out of data into a large table using the ALTER TABLE ATTACH and DETACH options
Tools and Utilities for Performance
  • Utilize the RUNSTATS utility to collect accurate statistics from a DB2 database
  • Plan the use of the REORG utility to improve the efficiency of access to a table
  • Use the db2look utility to capture the statistics the DB2 catalog tables
  • Setup and invoke the db2batch utility to support benchmark tests of SQL statements
 
DB2 Application Considerations
  • Apply the appropriate SQL programming strategies to improve performance
  • Use joins properly
  • Minimize sorts
  • Use stored procedures to improve performance
  • Maximize the performance of User-Defined Functions (UDF)
  • Exploit record blocking for performance
  • Use the correct strategies for Large Objects (LOB) to improve performance
  • Apply the programming strategies to maximize concurrency and improve performance
Monitoring Database Health and Activity
  • Monitor database health using health snapshot commands, administrative table functions or the Health Center graphical tool to ensure that applications are running as efficiently as possible
  • Monitor tablespace disk utilization and container status for SMS, DMS and Automatic Storage tablespaces
  • Use the Activity Monitor to analyze various performance problems in an active DB2 database
Event Monitoring
  • Create event monitors to collect database performance statistics that write event monitor data to files, pipes, or DB2 tables
  • Use an event monitor to collect information about database deadlocks
  • Evaluate event monitor data using the event analyzer, the db2evmon text based tool or using SQL queries
DPF Partitioned Database Performance Considerations
  • Monitor a DPF partitioned database using the DB2 snapshot commands, administrative views, event monitors and the db2pd command
  • Configure database memory and buffer pools using a partitioned database
  • Implement the Self Tuning Memory Management in a partitioned database system
  • Analyze db2expln and db2exfmt explain reports for SQL running in a DPF partitioned database including the use of subsections and table queues
  • Plan and execute DB2 utilities like RUNSTATS and REORG to support application performance in a partitioned database
  • Utilize the db2batch utility to benchmark to execute SQL statements and collect performance statistics in a partitioned database
Row Relocation and Additional Performance topics
  • Identify the types of table queues that may be used by DB2
  • List the row relocation techniques that DB2 may use, including collocation, directed and broadcast
  • Identify the Fast Communication Manager (FCM) configuration parameters and how they can be monitored using the snapshot commands, administrative views or using db2pd commands
  • Implement check constraints to define a UNION ALL VIEW to simply access and improve performance to large amounts of data
  • Utilize Referential Integrity constraints that are NOT ENFORCED to improve the access plans and performance for SQL statements
Agenda - Day 1
  • Welcome
  • Basic monitoring
  • Lab 1 Basic Monitoring
  • Database I/O Management
  • Tablespace Design for Performance
  • Lab 2 I/O Management and Tablespace Design
Day 2
  • DB2 Memory Management
  • Lab 3 Memory Management
  • Lab 4 Section 1 - Setup for STMM lab
  • Automatic Memory Management
  • Lab 4 Sections 2-3 Using STMM to Manage Memory
  • Using Explain Tools
  • Lab 5 Using Explain Tools
Day 3
  • The DB2 Optimizer
  • Lab 6 DB2 Optimizer
  • Using Indexes for Performance
  • Lab 7 Index Performance
  • Complex SQL Performance
  • Lab 8 Complex SQL Performance
Day 4
  • Tools and Utilities for Performance
  • Lab 9 Tools and utilities
  • Monitoring Database Health and Activity
  • Lab 10 Health and Activity monitors
  • DB2 Application Performance Considerations
  • Lab 11 Application Performance
  • Event Monitoring
  • Lab 12 Event Monitors
Day 5
  • DPF Partitioned Database Performance Considerations
  • Row Relocation and Additional Performance topics
  • Lab 13 Row Relocation
 




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