|Oracle® Database Performance Tuning Guide
12c Release 1 (12.1)
|PDF · Mobi · ePub|
This chapter describes memory allocation in Oracle Database and the various methods for managing memory.
This chapter contains the following topics:
Oracle Database stores information in memory caches and on disk. Memory access is much faster than disk access. Disk access (physical I/O) take a significant amount of time, compared to memory access, typically in the order of 10 milliseconds. Physical I/O also increases the CPU resources required due to the path length in device drivers and operating system event schedulers. For this reason, it is more efficient for data requests of frequently accessed objects to be perform by memory, rather than also requiring disk access. Proper sizing and effective use of Oracle Database memory caches greatly improves database performance.
The main Oracle Database memory caches that affect performance include:
Database buffer cache
The database buffer cache stores data blocks read from disk.
Redo log buffer
The redo log buffer stores redo entries of changes made to data blocks in the buffer cache.
The shared pool caches many different types of data and is mainly comprised of the following components:
Data dictionary cache
Server result cache
The large pool provides large memory allocations for the following Oracle Database features:
Shared server architecture
Recovery Manager (RMAN)
The Java pool stores session-specific Java code and Java Virtual Machine (JVM) data.
The Streams pool provides memory for Oracle Streams processes.
Process-private memory includes memory used for operations such as sorting and hash joins.
See Also:Oracle Database Concepts for information about the Oracle Database memory architecture
The goal of memory management is to reduce the physical I/O overhead as much as possible, either by making it more likely that the required data is in memory, or by making the process of retrieving the required data more efficient. To achieve this goal, proper sizing and effective use of Oracle Database memory caches is essential.
Oracle Database provides the following methods to manage database memory:
Automatic memory management enables Oracle Database to manage and tune the database memory automatically. In automatic memory management mode, management of the shared global area (SGA) and program global area (instance PGA) memory is handled completely by Oracle Database. This method is the most automated and is strongly recommended by Oracle. Before setting any memory pool sizes manually, strongly consider using automatic memory management.
For information about using automatic memory management, see "Using Automatic Memory Management".
If automatic memory management is disabled, then Oracle Database uses automatic shared memory management to manage SGA memory. In this mode, Oracle Database automatically distributes memory to individual SGA components based on a target size that you set for the total SGA memory.
For information about using automatic shared memory management, see "Using Automatic Shared Memory Management".
If both automatic memory management and automatic shared memory management are disabled, then you must manage SGA memory manually by sizing the individual memory pools in the SGA. Although this mode enables you to exercise complete control over how SGA memory is distributed, it requires the most effort because the SGA components must be manually tuned on an ongoing basis.
For information about using manual shared memory management, see "Sizing the SGA Components Manually".
If automatic memory management is disabled, then Oracle Database uses automatic PGA memory management to manage PGA memory. In this mode, Oracle Database automatically distributes memory to work areas in the instance PGA based on a target size that you set for the total PGA memory.
For information about automatic PGA memory management, see Chapter 16, "Tuning the Program Global Area".
If both automatic memory management and automatic PGA memory management are disabled, then you must manage PGA memory manually by adjusting the portion of PGA memory dedicated to each work area. This method can be very difficult because the workload is always changing and is not recommended by Oracle. Although manual PGA memory management is supported by Oracle Database, Oracle strongly recommends using automatic memory management or automatic PGA memory management instead.
To use automatic memory management, set the following initialization parameters:
MEMORY_TARGET initialization parameter specifies the target memory size. The database tunes to the value specified for this parameter, redistributing memory as needed between the SGA and the instance PGA. This parameter is dynamic, so its value can be changed at any time without restarting the database.
MEMORY_MAX_TARGET initialization parameter specifies the maximum memory size. The value specified for this parameter serves as the limit to which the
MEMORY_TARGET initialization parameter can be set. This parameter is static, so its value cannot be changed after instance startup.
If you need tuning advice for the
MEMORY_TARGET parameter, then use the
See Also:Oracle Database Administrator's Guide for information about using automatic memory management
Table 11-1 lists the views that provide information about memory resize operations.
Displays information about memory resize operations (both automatic and manual) that are currently in progress.
Displays information about the current sizes of all dynamically-tuned memory components, including the total sizes of the SGA and instance PGA.
Displays information about the last 800 completed memory resize operations (both automatic and manual). This does not include operations that are currently in progress.
Displays tuning advice for the
See Also:Oracle Database Reference for information about these views