database monitoring and performance management

Advanced Database Systems

Why Database Performance is Important?

� Database can make or break the

business operations.

� Creating a plan is a good start in

improving database performance.

� One of the most basic of ways of

* Property of STI of 8

Database Monitoring and Performance Management

� One of the most basic of ways of

improving performance is to have a

good schema design.


Performance Analysis Tools

� A variety of tools are available to

help you analyze and monitor the

current performance of your

Adaptive Server Anywhere

database.

� Request-level logging




� Index Consultant

� Procedure Profiling

� Graphical Plan

� Performance Monitor

� Concurrency




� Request level logging logs

individual requests received

from and responses sent to an

application.





� The Index Consultant

recommends indexes that can

help improve performance for

large workloads or complex

queries.



� Procedure Profiling

� Procedure profiling shows how

long it takes the stored

procedures, functions, events,

and triggers to execute.

� Graphical Plan



� Graphical Plan

� The graphical plan feature in

Interactive SQL displays the

execution plan for a query. It is

useful for diagnosing

performance issues with specific

queries.



� Performance Monitor

� The Performance Monitor is

useful for tracking detailed

information about database

server actions, including disk

and memory access.



� Concurrency

� When the database server

processes a transaction, it can

lock one or more rows of a table.

The locks maintain the

reliability of information stored

in the database by preventing

concurrent access by other

transactions.


Performance Tips

� The following tips will help you

achieve the maximum performance

from Adaptive Server Anywhere:

� Always use a transaction log

� Increase the cache size

� Normalize your table structure

� Use indexes effectively



� Use indexes effectively

� Place different files on different

devices

� Turn off autocommit mode

� Reduce the number of requests

between client and server

� Reduce table widths

� Reduce primary key width


Performance Tips

� Declare constraints

� Use appropriate data types

� Use AUTOINCREMENT to create

primary keys

� Minimize cascading referential

actions

� Pay attention to the order of



� Pay attention to the order of

columns

� Upgrade to take advantage of

new features

� Rebuild your database

� Examine your database and

server configurations

� Use an appropriate page size


Performance Tips

� Examine file, table, and index

fragmentation

� Acquire adequate hardware

� Choose the Optimizer’s priority

� Consider collecting statistics on

small tables

� Use user-estimates sparingly



� Use user-estimates sparingly

� Reduce expensive user-defined

functions

� Using the cache to improve

performance

� Using indexes to improve

performance

� Using keys to improve query

performance

database monitoring and performance management

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