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Oracle Capacity Planning

Oracle Tips by Burleson Consulting

Introduction - Database Administration

The easiest way to perform Oracle capacity planning is with the Oracle capacity planning spreadsheets. Database Administration has grown over the years from the mere management of a few tables and indexes to a complex interlocking set of responsibilities ranging from managing database objects to participating in enterprise wide decisions on hardware, software and development tools.

In order to fully perform these functions the modern Oracle DBA needs a large skill set. Over the next few hours we will discuss the skills needed and specifically how they apply to an Oracle DBA.

System Capacity Planning

In a green field operation (one where you are there before the equipment and database) a DBA will have a critical part to play in the planning and configuration of the new system. Even in existing environments the ability to plan for new servers, new databases or improvements to existing databases and systems is critical.

Essentially the DBA must concern themselves with two major issues:

  1. Get enough server to insure adequate performance

  2. Allow for enough backup and recovery horsepower to get backup and recovery performed within the required time constraints.

All of this actually falls under the topic resource and capacity planning.

Resource and Capacity Planning

Oracle is a resource intensive database system. The more memory, CPU and disk resources you can provide Oracle, the better it performs. Resource planning with Oracle becomes more a game of "how much can we afford to buy" instead of "what is the minimum configuration". A minimally configured Oracle server will not function in an efficient manner.

Resource Specification for Oracle

In resource specification there are several questions which must be answered.

  1. How many users will be using the system both now and in the future?

  2. How much data will the system contain both now and in the future, do we know growth rates?

  3. What response times are expected?

  4. What system availability is expected?

Why are these questions important?

1.  How many users will be using the system both now and in the future?

This question is important because it effects how much processing power is going to be required. The number of users will determine number and speed of CPUs, size of memory, network related configuration.

2.  How much data will the system contain both now and in the future, do we know growth rates?

This question is important because it determines disk needs, how much storage will be required to take data we have today and how much will be needed to allow for growth. The answer to this question also helps determine how much memory will be required.

3.  What response times are expected?

This question is important because it drives number, type and speed of CPU resources as well as network issues. In addition it will drive disk configuration issues such as number and speed of disks, number and speed of controllers, disk partitioning decisions.

4.  What system availability is expected?

This question is important because system availability drives the type of RAID configuration (1, 0, 0/1, RAID5), the type of backup expected (cold, hot) and any parallel server issues. The requirements change if all that is expected is the system be available during working hours Monday through Friday or if the system is expected to be available 24X7 seven days a week. This also drives the type of backup media, whether a single tape drive is all that is required or do we need a hi-speed, multichannel, tape-stacker, silo based solution?

To properly perform capacity planning a cooperative effort must be undertaken between the system administrators, database administrators and network administrators.

Step 1: Size the Oracle database

A starting point for the whole process of capacity planning is to know how many and what size databases will be supported on a given server resource. The physical sizing of tables, indexes, clusters and LOB storage areas will play a critical role in sizing the overall database including the shared global memory areas and disk farm. The DBA and designers must work in concert to accurately size the database physical files. The design of the database will also drive the placement and number of tablespaces and other database resources such as size and quantity of redo logs, rollback segments and their associated buffer areas.

Generally the database block buffer areas of a database SGA will size out at between 1/20 to 1/100 the physical sum of the total number of database file sizes. For example if the database physical size is 20 gigabytes the database block buffers should size out to around 200 megabytes to 1 gigabyte in size depending on how the data is being used. In most cases the SGA shared pool would size out at around 20-150 megabytes maximum depending on the usage model for the shared SQL areas (covered in a later lesson.) For a 20 gigabyte system the redo logs would most likely run between 20 and 80 megabytes, you would want them mirrored and probably no fewer than 5 groups. The log buffer to support a 50 megabyte redo log file would be a minimum of 5 megabytes maybe as large as 10 megabytes. The final major factor for the SGA would be the size of the sort area, for this size of a database a 10-20 megabyte sort area is about right (depending on the number and size of sorts). Remember that sort areas can either be a part of the shared pool  or a part of the large pool, this too we will cover in a later lesson.

So based on the above what have we determined? Lets choose 400 megabytes for our database block buffer size, 70 megabytes for the shared pool, 4-10 megabyte log buffers (40 megabytes) and a sort area size of 10 megabytes. We are looking at a 500-600 megabyte SGA with the other non-DBA sizable factors added in. Since you are not supposed to use more than 60% of physical memory (depending on who you ask) this means w will need at least a gigabyte of RAM. With this size of database a single CPU probably won?t give sufficient performance so we are probably looking for at least a 4-processor machine. If we have more than  one instance installed on the server, the memory requirements will go up.

Step 2: Determine Number and Type of Users:

Naturally a one user database will require fewer resources than a thousand user database. Generally you will need to take a SWAG at how much memory and disk resources each user will require. An example would be to assume that of an installed user base of 1000 users, only 10 percent of them will be concurrently using the database. This leaves 100 concurrent users, of those maybe a second 10 percent will be doing activities that require sort areas, this brings the number down to 10 users each using (from our previous example) 10 megabytes of memory each (100 megabytes.) In addition each of the 100 concurrent users needs approximately 200k of process space (depending on activity, OS and other factors) so we are talking an additional load of 20 megabytes just for user process space. Finally, each of these users will probably require some amount of disk resource (less if they are client-server or web based) let?s give them 5 meg of disk to start apiece, that adds up to 5 gigabytes of disk (give or take a meg or two.)

Step 3: Determine Hardware Requirements to Meet Required Response Times and Support User Load:

This step will involve the system administrator and perhaps the hardware vendor. Given our 1000:100:10 mix of users and any required response times numbers they should be able to configure a server that will provide proper performance. Usually this will require multiple, multiple-channel disk interfaces and several physically separate disk arrays.

Step 4: Determine Backup Hardware to Support Required Uptime Requirements:

Here again the system administrator and hardware vendor will have a hand in the decision. Based on the size of disks and the speed of the backup solution maximum recovery time should be developed. If there is no way to meet required uptime requirements using simple backup schemes then more esoteric architectures may be indicated such as multi-channel tapes, hot standby databases or even Oracle Parallel Server. Let?s say we require a 24X7 uptime requirement with instantaneous failover ( no recovery time due to the mission critical nature of the system.) This type of specification would require Oracle Parallel Server in an automated failover setup. We would also use either a double or triple disk mirror so that we could split the mirror to perform backups without losing the protection of the mirroring.

Let?s compile what we have determined so far:

Hardware:  2 - 4 CPU (at highest speed CPU we can afford) with at least 1 gigabyte (preferably 2) of shared RAM, at least 2 disk controllers each with multiple channels, 90 gigabytes of disk resource using a three way mirror to give us one 30 gig triple mirrored array. The systems themselves should have an internal disk subsystem sufficient to support the operating system and any swap and paging requirements. Systems must be able to share disk resources so must support clustering. High-speed tape backup to minimize mirror-split times.

Software: Oracle Parallel Server, Cluster management software, Networking software, Backup software to support backup hardware.

Capacity and resource planning is not an exact science. Essentially we are shooting for a moving target. The dual Pentium II 200 NT server with 10 gig of 2-gigabyte SCSI disks I bought 2 years ago for $5k has a modern equivalent in the Pentium III 400 with internal 14 gig drive my father-in-law just purchased for $1k. By the time we specify and purchase a system it is already superceded. You should insist on being allowed to substitute more efficient, lower cost options as they come available during the specification and procurement phases.


This is an excerpt from the eBook "Oracle DBA made Simple".

For more details on Oracle database administration, see the "Easy Oracle Jumpstart" by Robert Freeman and Steve Karam.  It?s only $19.95 when you buy it directly from the publisher here.

 


 

 
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