MySQL allocates buffers and caches to improve performance of database operations. The default configuration is designed to permit a MySQL server to start on a virtual machine that has approximately 512MB of RAM. You can improve MySQL performance by increasing the values of certain cache and buffer-related system variables. You can also modify the default configuration to run MySQL on systems with limited memory.
The following list describes some of the ways that MySQL uses memory. Where applicable, relevant system variables are referenced. Some items are storage engine or feature specific.
InnoDBbuffer pool is a memory area that holds cached
InnoDBdata for tables, indexes, and other auxiliary buffers. For efficiency of high-volume read operations, the buffer pool is divided into pages that can potentially hold multiple rows. For efficiency of cache management, the buffer pool is implemented as a linked list of pages; data that is rarely used is aged out of the cache, using a variation of the LRU algorithm. For more information, see Section 15.5.1, “Buffer Pool”.
The size of the buffer pool is important for system performance:
InnoDBallocates memory for the entire buffer pool at server startup, using
innodb_buffer_pool_sizesystem variable defines the buffer pool size. Typically, a recommended
innodb_buffer_pool_sizevalue is 50 to 75 percent of system memory.
innodb_buffer_pool_sizecan be configured dynamically, while the server is running. For more information, see Section 220.127.116.11, “Configuring InnoDB Buffer Pool Size”.
On systems with a large amount of memory, you can improve concurrency by dividing the buffer pool into multiple buffer pool instances. The
innodb_buffer_pool_instancessystem variable defines the number of buffer pool instances.
A buffer pool that is too small may cause excessive churning as pages are flushed from the buffer pool only to be required again a short time later.
A buffer pool that is too large may cause swapping due to competition for memory.
The storage engine interface enables the optimizer to provide information about the size of the record buffer to be used for scans that the optimizer estimates are likely to read multiple rows. The buffer size can vary based on the size of the estimate.
InnoDBuses this variable-size buffering capability to take advantage of row prefetching, and to reduce the overhead of latching and B-tree navigation.
All threads share the
MyISAMkey buffer. The
key_buffer_sizesystem variable determines its size.
MyISAMtable the server opens, the index file is opened once; the data file is opened once for each concurrently running thread that accesses the table. For each concurrent thread, a table structure, column structures for each column, and a buffer of size
3 *are allocated (where
Nis the maximum row length, not counting
BLOBcolumn requires five to eight bytes plus the length of the
MyISAMstorage engine maintains one extra row buffer for internal use.
myisam_use_mmapsystem variable can be set to 1 to enable memory-mapping for all
If an internal in-memory temporary table becomes too large (as determined using the
max_heap_table_sizesystem variables), MySQL automatically converts the table from in-memory to on-disk format. As of MySQL 8.0.16, on-disk temporary tables always use the
InnoDBstorage engine. (Previously, the storage engine employed for this purpose was determined by the
internal_tmp_disk_storage_enginesystem variable, which is no longer supported.) You can increase the permissible temporary table size as described in Section 8.4.4, “Internal Temporary Table Use in MySQL”.
MEMORYtables explicitly created with
CREATE TABLE, only the
max_heap_table_sizesystem variable determines how large a table can grow, and there is no conversion to on-disk format.
The MySQL Performance Schema is a feature for monitoring MySQL server execution at a low level. The Performance Schema dynamically allocates memory incrementally, scaling its memory use to actual server load, instead of allocating required memory during server startup. Once memory is allocated, it is not freed until the server is restarted. For more information, see Section 27.17, “The Performance Schema Memory-Allocation Model”.
Each thread that the server uses to manage client connections requires some thread-specific space. The following list indicates these and which system variables control their size:
A stack (
A connection buffer (
A result buffer (
The connection buffer and result buffer each begin with a size equal to
net_buffer_lengthbytes, but are dynamically enlarged up to
max_allowed_packetbytes as needed. The result buffer shrinks to
net_buffer_lengthbytes after each SQL statement. While a statement is running, a copy of the current statement string is also allocated.
Each connection thread uses memory for computing statement digests. The server allocates
max_digest_lengthbytes per session. See Section 27.10, “Performance Schema Statement Digests and Sampling”.
All threads share the same base memory.
When a thread is no longer needed, the memory allocated to it is released and returned to the system unless the thread goes back into the thread cache. In that case, the memory remains allocated.
Each request that performs a sequential scan of a table allocates a read buffer. The
read_buffer_sizesystem variable determines the buffer size.
When reading rows in an arbitrary sequence (for example, following a sort), a random-read buffer may be allocated to avoid disk seeks. The
read_rnd_buffer_sizesystem variable determines the buffer size.
All joins are executed in a single pass, and most joins can be done without even using a temporary table. Most temporary tables are memory-based hash tables. Temporary tables with a large row length (calculated as the sum of all column lengths) or that contain
BLOBcolumns are stored on disk.
Most requests that perform a sort allocate a sort buffer and zero to two temporary files depending on the result set size. See Section B.3.3.5, “Where MySQL Stores Temporary Files”.
Almost all parsing and calculating is done in thread-local and reusable memory pools. No memory overhead is needed for small items, thus avoiding the normal slow memory allocation and freeing. Memory is allocated only for unexpectedly large strings.
For each table having
BLOBcolumns, a buffer is enlarged dynamically to read in larger
BLOBvalues. If you scan a table, the buffer grows as large as the largest
MySQL requires memory and descriptors for the table cache. Handler structures for all in-use tables are saved in the table cache and managed as “First In, First Out” (FIFO). The
table_open_cachesystem variable defines the initial table cache size; see Section 18.104.22.168, “How MySQL Opens and Closes Tables”.
MySQL also requires memory for the table definition cache. The
table_definition_cachesystem variable defines the number of table definitions that can be stored in the table definition cache. If you use a large number of tables, you can create a large table definition cache to speed up the opening of tables. The table definition cache takes less space and does not use file descriptors, unlike the table cache.
FLUSH TABLESstatement or mysqladmin flush-tables command closes all tables that are not in use at once and marks all in-use tables to be closed when the currently executing thread finishes. This effectively frees most in-use memory.
FLUSH TABLESdoes not return until all tables have been closed.
The server caches information in memory as a result of
CREATE SERVER, and
INSTALL PLUGINstatements. This memory is not released by the corresponding
DROP SERVER, and
UNINSTALL PLUGINstatements, so for a server that executes many instances of the statements that cause caching, there is an increase in cached memory use unless it is freed with
In a replication topology, the following settings affect memory usage, and can be adjusted as required:
max_allowed_packetsystem variable on a replication source limits the maximum message size that the source sends to its replicas for processing. This setting defaults to 64M.
The system variable
replica_pending_jobs_size_max(from MySQL 8.0.26) or
slave_pending_jobs_size_max(before MySQL 8.0.26) on a multithreaded replica sets the maximum amount of memory that is made available for holding messages awaiting processing. This setting defaults to 128M. The memory is only allocated when needed, but it might be used if your replication topology handles large transactions sometimes. It is a soft limit, and larger transactions can be processed.
rpl_read_sizesystem variable on a replication source or replica controls the minimum amount of data in bytes that is read from the binary log files and relay log files. The default is 8192 bytes. A buffer the size of this value is allocated for each thread that reads from the binary log and relay log files, including dump threads on sources and coordinator threads on replicas.
binlog_transaction_dependency_history_sizesystem variable limits the number of row hashes held as an in-memory history.
max_binlog_cache_sizesystem variable specifies the upper limit of memory usage by an individual transaction.
max_binlog_stmt_cache_sizesystem variable specifies the upper limit of memory usage by the statement cache.
ps and other system status programs may
report that mysqld uses a lot of memory.
This may be caused by thread stacks on different memory
addresses. For example, the Solaris version of
ps counts the unused memory between stacks
as used memory. To verify this, check available swap with
swap -s. We test mysqld
with several memory-leakage detectors (both commercial and
Open Source), so there should be no memory leaks.