Oracle9i Database Performance Guide and Reference
Release 1 (9.0.1)

Part Number A87503-02
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Understanding Operating System Resources

This chapter explains how to tune the operating system for optimal performance of the Oracle server.

This chapter contains the following sections:

Understanding Operating System Performance Issues

Operating system performance issues commonly involve process management, memory management, and scheduling. If you tuned the Oracle instance and you still need better performance, then verify your work or try to reduce system time. Make sure that there is enough I/O bandwidth, CPU power, and swap space. Do not expect, however, that further tuning of the operating system will have a significant effect on application performance. Changes in the Oracle configuration or in the application are likely to make a more significant difference in operating system efficiency than simply tuning the operating system.

For example, if an application experiences excessive buffer busy waits, then the number of system calls increases. If you reduce the buffer busy waits by tuning the application, then the number of system calls decreases. Similarly, if you turn on the Oracle initialization parameter TIMED_STATISTICS, then the number of system calls increases. If you turn it off, then system calls decrease.

See Also:

Your Oracle platform-specific documentation and your operating system vendor's documentation 

Using Hardware and Operating System Caches

Operating systems and device controllers provide data caches that do not directly conflict with Oracle's own cache management. Nonetheless, these structures can consume resources while offering little or no benefit to performance. This is most noticeable on a UNIX system that has the database files in the UNIX file store: by default all database I/O goes through the file system cache. On some UNIX systems, direct I/O is available to the filestore. This arrangement allows the database files to be accessed within the UNIX file system, bypassing the file system cache. It saves CPU resources and allows the file system cache to be dedicated to nondatabase activity, such as program texts and spool files.

This problem does not occur on NT. All file requests by the database bypass the caches in the file system.

Evaluating Raw Devices

Evaluate the use of raw devices on the system. Using raw devices can involve a significant amount of work, but can also provide significant performance benefits.

Raw devices impose a penalty on full table scans, but might be essential on UNIX systems if the implementation does not support "write through" cache. The UNIX file system accelerates full table scans by reading ahead when the server starts requesting contiguous data blocks. It also caches full table scans. If a UNIX system does not support the write through option on writes to the file system, then it is essential that you use raw devices to ensure that at commit and checkpoint, the data that the server assumes is safely established on disk is actually there. If this is not the case, then recovery from a UNIX operating system crash might not be possible.

Raw devices on NT are similar to UNIX raw devices; however, all NT devices support write through cache.

See Also:

Chapter 15, "I/O Configuration and Design" for a discussion on raw devices versus UNIX file system (UFS) 

Using Process Schedulers

Many processes, or "threads" on NT systems, are involved in the operation of Oracle. They all access the shared memory resources in the SGA.

Be sure that all Oracle processes, both background and user processes, have the same process priority. When you install Oracle, all background processes are given the default priority for the operating system. Do not change the priorities of background processes. Verify that all user processes have the default operating system priority.

Assigning different priorities to Oracle processes might exacerbate the effects of contention. The operating system might not grant processing time to a low-priority process if a high-priority process also requests processing time. If a high-priority process needs access to a memory resource held by a low-priority process, then the high-priority process can wait indefinitely for the low-priority process to obtain the CPU, process the request, and release the resource.

Additionally, do not bind Oracle background processes to CPUs. This can cause the bound processes to be CPU-starved. This is especially the case when binding processes that fork off operating system threads. In this case, the parent process and all its threads bind to the CPU.

Using Operating System Resource Managers

Some platforms provide operating system resource managers. These are designed to reduce the impact of peak load use patterns by prioritizing access to system resources. They usually implement administrative policies that govern which resources users can access and how much of those resources each user is permitted to consume.

Operating system resource managers are different from domains or other similar facilities. Domains provide one or more completely separated environments within one system. Disk, CPU, memory, and all other resources are dedicated to each domain and cannot be accessed from any other domain. Other similar facilities completely separate just a portion of system resources into different areas, usually separate CPU and/or memory areas. Like domains, the separate resource areas are dedicated only to the processing assigned to that area; processes cannot migrate across boundaries. Unlike domains, all other resources (usually disk) are accessed by all partitions on a system.

Oracle runs within domains, as well as within these other less complete partitioning constructs, provided that the allocation of partitioned memory (RAM) resources is fixed, not dynamic. Deallocating RAM to enable a memory board replacement is an example of a dynamically changing memory resource; therefore, this is an example of an environment in which Oracle is not supported.


Oracle is not supported in any resource partitioned environment in which memory resources are assigned dynamically. 

Operating system resource managers prioritize resource allocation within a global pool of resources, usually a domain or an entire system. Processes are assigned to groups, which are in turn assigned resources anywhere within the resource pool.


When running under operating system resource managers, Oracle is supported only when each instance is assigned to a dedicated operating system resource manager group or managed entity. Also, the dedicated entity running all the instance's processes must run at one priority (or resource consumption) level. Management of individual Oracle processes at different priority levels is not supported. Severe consequences, including instance crashes, can result.

Warning: Oracle is not supported for use with any operating system resource manager's memory management and allocation facility.

Warning: Oracle Database Resource Manager, which provides resource allocation capabilities within an Oracle instance, cannot be used with any operating system resource manager. 

See Also:

  • For a complete list of operating system resource management and resource allocation/deallocation features that work with Oracle and Oracle Database Resource Manager, see your systems vendor and your Oracle representative. Oracle does not certify these system features for compatibility with specific release levels.

  • Oracle9i Database Concepts and Oracle9i Database Administrator's Guide for more information about Oracle Database Resource Manager


Solving Operating System Problems

This section provides hints for tuning various systems by explaining the following topics:

Familiarize yourself with platform-specific issues so that you know what performance options the operating system provides. For example, some platforms have post wait drivers that allow you to map system time and thus reduce system calls, enabling faster I/O.

See Also:

Your Oracle platform-specific documentation and your operating system vendor's documentation 

Performance Hints on UNIX-Based Systems

On UNIX systems, try to establish a good ratio between the amount of time the operating system spends fulfilling system calls and doing process scheduling and the amount of time the application runs. The goal should be to run 60% to 75% of the time in application mode and 25% to 40% of the time in operating system mode. If you find that the system is spending 50% of its time in each mode, then determine what is wrong.

The ratio of time spent in each mode is only a symptom of the underlying problem, which might involve the following:

If such conditions exist, then there is less time available for the application to run. The more time you can release from the operating system side, the more transactions an application can perform.

Performance Hints on NT Systems

On NT systems, as with UNIX-based systems, establish an appropriate ratio between time in application mode and time in system mode. On NT you can easily monitor many factors with Performance Monitor: CPU, network, I/O, and memory are all displayed on the same graph to assist you in avoiding bottlenecks in any of these areas.

Performance Hints on Mainframe Computers

Consider the paging parameters on a mainframe, and remember that Oracle can exploit a very large working set of parameters.

Free memory in VAX/VMS environments is actually memory that is not mapped to any operating system process. On a busy system, free memory likely contains a page belonging to one or more currently active process. When that access occurs, a "soft page fault" takes place, and the page is included in the working set for the process. If the process cannot expand its working set, then one of the pages currently mapped by the process must be moved to the free set.

Any number of processes might have pages of shared memory within their working sets. The sum of the sizes of the working sets can thus markedly exceed the available memory. When the Oracle server is running, the SGA, the Oracle kernel code, and the Oracle Forms runtime executable are normally all sharable and account for perhaps 80% or 90% of the pages accessed.

Adding more buffers is not necessarily better. Each application has a threshold number of buffers at which the cache hit ratio stops rising. This is typically quite low (approximately 1500 buffers). Setting higher values simply increases the management load for both Oracle and the operating system.

Understanding CPU

To address CPU problems, first establish appropriate expectations for the amount of CPU resources your system should be using. Then, determine whether sufficient CPU resources are available and recognize when your system is consuming too many resources. Begin by determining the amount of CPU resources the Oracle instance utilizes with your system in the following three cases:

You can capture various workload snapshots using Statspack or the UTLBSTAT/UTLESTAT utility. Operating system tools, such as vmstat, sar, and iostat on UNIX and Performance Monitor on NT, should be run during the same time interval as UTLBSTAT/UTLESTAT to provide a complimentary view of the overall statistics.


Chapter 21, "Using Statspack" for more information on Statspack and UTLBSTAT/UTLESTAT 

Workload is an important factor when evaluating your system's level of CPU utilization. During peak workload hours, 90% CPU utilization with 10% idle and waiting time can be acceptable. Even 30% utilization at a time of low workload can be understandable. However, if your system shows high utilization at normal workload, then there is no room for a peak workload. For example, Figure 16-1 illustrates workload over time for an application having peak periods at 10:00 AM and 2:00 PM.

Figure 16-1 Average Workload and Peak Workload

Text description of stu81066.gif follows
Text description of the illustration stu81066.gif

This example application has 100 users working 8 hours a day, for a total of 800 hours per day. Each user entering one transaction every 5 minutes translates into 9,600 transactions daily. Over an 8-hour period, the system must support 1,200 transactions per hour, which is an average of 20 transactions per minute. If the demand rate were constant, then you could build a system to meet this average workload.

However, usage patterns are not constant--and in this context, 20 transactions per minute can be understood as merely a minimum requirement. If the peak rate you need to achieve is 120 transactions per minute, then you must configure a system that can support this peak workload.

For this example, assume that at peak workload, Oracle uses 90% of the CPU resource. For a period of average workload, then, Oracle uses no more than about 15% of the available CPU resource, as illustrated in the following equation:

20 tpm/120 tpm * 90% = 15%

where tpm is transactions per minute.

If the system requires 50% of the CPU resource to achieve 20 tpm, then a problem exists: the system cannot achieve 120 transactions per minute using 90% of the CPU. However, if you tuned this system so that it achieves 20 tpm using only 15% of the CPU, then, assuming linear scalability, the system might achieve 120 transactions per minute using 90% of the CPU resources.

As users are added to an application, the workload can rise to what had previously been peak levels. No further CPU capacity is then available for the new peak rate, which is actually higher than the previous.

CPU capacity issues can be addressed with the following:

  1. Tuning; that is, detecting and solving CPU problems from excessive consumption:

    See Also:

    "Finding System CPU Utilization" 

  2. Increasing hardware capacity, including changing the system architecture.

    See Also:

    Oracle9i Database Performance Methods for information about improving your system architecture 

  3. Reducing the impact of peak load use patterns by prioritizing CPU resource allocation. Oracle's Database Resource Manager does this by allocating and managing CPU resources among database users and applications.

    See Also:

    Oracle9i Database Concepts and Oracle9i Database Administrator's Guide for more information about Oracle's Database Resource Manager 

Finding System CPU Utilization

Oracle statistics report CPU use by Oracle sessions only, whereas every process running on your system affects the available CPU resources. Therefore, tuning non-Oracle factors can also improve Oracle performance.

Use operating system monitoring tools to determine what processes are running on the system as a whole. If the system is too heavily loaded, check the memory, I/O, and process management areas described later in this section.

Tools such as sar -u on many UNIX-based systems let you examine the level of CPU utilization on your entire system. CPU utilization in UNIX is described in statistics that show user time, system time, idle time, and time waiting for I/O. A CPU problem exists if idle time and time waiting for I/O are both close to zero (less than 5%) at a normal or low workload.

On NT, use Performance Monitor to examine CPU utilization. Performance Manager provides statistics on processor time, user time, privileged time, interrupt time, and DPC time. (NT Performance Monitor is not the same as Performance Manager, which is an Oracle Enterprise Manager tool.)


This section describes how to check system CPU utilization on most UNIX-based and NT systems. For other platforms, see your operating system documentation. 

Checking Memory Management

Check the following memory management areas:

Paging and Swapping

Use tools such as sar or vmstat on UNIX or Performance Monitor on NT to investigate the cause of paging and swapping.

Oversize Page Tables

On UNIX, if the processing space becomes too large, then it can result in the page tables becoming too large. This is not an issue on NT.

Checking I/O Management

Check the following I/O management issues:


Ensure that your workload fits into memory, so the machine is not thrashing (swapping and paging processes in and out of memory). The operating system allocates fixed portions of time during which CPU resources are available to your process. If the process wastes a large portion of each time period checking to be sure that it can run and ensuring that all necessary components are in the machine, then the process might be using only 50% of the time allotted to actually perform work.

Client/Server Round Trips

The latency of sending a message can result in CPU overload. An application often generates messages that need to be sent through the network over and over again, resulting in significant overhead before the message is actually sent. To alleviate this problem, batch the messages and perform the overhead only once, or reduce the amount of work. For example, you can use array inserts, array fetches, and so on.

See Also:

Chapter 15, "I/O Configuration and Design"  

Checking Process Management

Check the following process management issues:

Scheduling and Switching

The operating system can spend excessive time scheduling and switching processes. Examine the way in which you are using the operating system, because you could be using too many processes. On NT systems, do not overload your server with too many non-Oracle processes.

Context Switching

Due to operating system specific characteristics, your system could be spending a lot of time in context switches. Context switching can be expensive, especially with a large SGA. Context switching is not an issue on NT, which has only one process per instance. All threads share the same page table.

Programmers often create single-purpose processes, exit the process, and create a new one. Doing this re-creates and destroys the process each time. Such logic uses excessive amounts of CPU, especially with applications that have large SGAs. This is because you need to build the page tables each time. The problem is aggravated when you pin or lock shared memory, because you have to access every page.

For example, if you have a 1 gigabyte SGA, then you might have page table entries for every 4K, and a page table entry might be 8 bytes. You could end up with (1G/4K) * 8B entries. This becomes expensive, because you need to continually make sure that the page table is loaded.

Parallel execution and the shared server become areas of concern if MINSERVICE has been set too low (set to 10, for example, when you need 20). For an application that is performing small lookups, this might not be wise. In this situation, it becomes inefficient for both the application and the system.

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