DB_FILE_MULTIBLOCK_READ_COUNT specifies the maximum number of Oracle blocks that can be
read in a single I/O call during a sequential scan (for example, a full-table scan).
Conceptually, it controls the “batch size” of reads when Oracle is reading table blocks in order.
In modern Oracle (including 23ai), the parameter still exists, but it is typically best treated as a costing and scan-throughput influence rather than a day-to-day tuning knob. If the parameter is not explicitly set, Oracle derives an efficient value for the platform and storage stack.
The total number of I/Os for a full scan depends on the table size, the multiblock read count, and whether the operation uses parallel execution or direct-path read strategies.
Older guidance often claimed that Oracle “always reads a minimum of 64KB” on UNIX and that
DB_BLOCK_SIZE × DB_FILE_MULTIBLOCK_READ_COUNT should equal 64KB. That is not a reliable rule in modern
environments. Practical I/O sizes are influenced by the OS, filesystem, ASM, storage array capabilities, and Oracle’s
internal scan strategy.
A better way to reason about it is:
DB_BLOCK_SIZE × DB_FILE_MULTIBLOCK_READ_COUNT-- Approximate effective read size (bytes) = DB_BLOCK_SIZE * DB_FILE_MULTIBLOCK_READ_COUNT
-- Example A: 8K blocks, read 128 blocks per I/O
-- 8192 * 128 = 1,048,576 bytes (~1 MB)
-- Example B: 16K blocks, read 64 blocks per I/O
-- 16384 * 64 = 1,048,576 bytes (~1 MB)
If you set an invalid or excessively large value, Oracle will use a safe effective maximum for the platform. In modern releases, the default behavior is typically already aligned to the maximum efficient scan I/O size for the storage subsystem.
| Property | Description |
| Parameter type | Integer |
| Default value | Platform-dependent; derived from the maximum efficient I/O size |
| Modifiable | ALTER SESSION, ALTER SYSTEM |
| Range of values | Operating system-dependent |
| Basic | No |
In most Oracle 23ai environments, the recommended posture is: leave it unset unless you have a controlled reason to override defaults (for example, a targeted benchmark showing a consistent benefit for a scan-heavy workload).
If you need to experiment, do it in a controlled window and validate outcomes using execution plans
(DBMS_XPLAN) and workload metrics, then revert to defaults if the change does not produce a measurable
improvement.