MySQL raises ER_STD_BAD_ALLOC_ERROR when it cannot allocate enough memory to complete an operation, halting the query and returning SQL state HY000.
ER_STD_BAD_ALLOC_ERROR occurs when MySQL fails to reserve the memory it needs for an internal process. Free up RAM, tune InnoDB buffers, or move the workload to a larger instance to resolve the issue.
ER_STD_BAD_ALLOC_ERROR
ER_STD_BAD_ALLOC_ERROR is MySQLs generic runtime message for memory allocation failure. It appears when the server cannot reserve the requested bytes for an internal buffer, sort, or temporary object and must abort the active statement.
The error was introduced in MySQL 5.7.5, carries SQL state HY000, and is logged as error number 3044 in the server error log.
Insufficient physical RAM or swap leaves MySQL unable to create new buffers. Large joins, sorts, or ALTER TABLE statements are common triggers.
Mis-configured InnoDB buffer, tmp_table_size, or max_heap_table_size values may exhaust memory under concurrency spikes.
Start by confirming current memory use with SHOW STATUS LIKE 'Innodb_buffer_pool%'. Lower competing workloads or kill runaway sessions if RAM is exhausted.
Tune memory parameters incrementally, then retest the failing query. Restart MySQL only after changes to my.cnf that need a full server reload.
Batch ETL jobs often demand large sort buffers. Set sort_buffer_size and read_rnd_buffer_size only for that session to avoid global bloat.
On shared servers, a single SELECT with ORDER BY RAND() can exhaust tmp_table_size. Rewrite the query or raise tmp_table_size to fit expected result sets.
Right-size your InnoDB buffer pool for 70-80 percent of available RAM and monitor innodb_buffer_pool_reads to spot cache pressure early.
Enable performance_schema and track memory/innodb buffers by account to detect abusive sessions before they trigger allocation failures.
Error 1038 (HY001) Out of memory arises when MySQL cannot allocate memory for the heap storage engine; fix it with similar tuning.
Error 1206 (HY000) The total number of locks exceeds the lock table size can appear alongside 3044; raising innodb_buffer_pool_size often resolves both.
The host has less free memory than the query requires.
Parameters reserve more memory than the system can supply.
MySQL spills big result sets to memory instead of disk.
Infinite loops or Cartesian joins steadily consume RAM.
Occurs when the Heap storage engine cannot allocate RAM, often fixed by lowering tmp_table_size or adding swap.
Appears during massive updates that overflow InnoDB lock structures; tune innodb_buffer_pool_size and transaction size.
Triggered by insufficient disk space, sometimes confused with memory errors.
A restart frees memory temporarily but does not fix underlying configuration issues.
No, MySQL aborts the statement before committing, so on-disk data remains consistent.
innodb_buffer_pool_size, tmp_table_size, max_heap_table_size, and per-session sort buffers.
Galaxy surfaces server memory metrics next to your query and suggests buffer tweaks, helping you resolve allocation errors faster.
.avif)
.avif){kind=logo}
