MySQL raises EE_CAPACITY_EXCEEDED (error 34) when a query, temporary table, or buffer needs more memory than the server’s configured limits allow.
MySQL Error 34: EE_CAPACITY_EXCEEDED appears when a statement needs more memory than the server can allocate. Tune tmp_table_size and max_heap_table_size, rewrite heavy queries, or add RAM to remove the bottleneck.
Memory capacity exceeded (capacity %llu bytes)
MySQL throws EE_CAPACITY_EXCEEDED when it cannot allocate additional memory for an operation. The accompanying message Memory capacity exceeded (capacity %llu bytes) shows the exact byte limit reached.
The error occurs during in-memory sorts, hash joins, large temporary tables, or bulk inserts when the required workspace exceeds max_heap_table_size, tmp_table_size, or overall server RAM.
Repeated capacity overruns stall sessions, roll back transactions, and can crash the server if swap space is exhausted.
Production outages lead to lost revenue and data-pipeline delays.
Addressing the root cause improves query throughput, reduces latency, and safeguards uptime.
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Not necessarily. Often you can solve it by raising tmp_table_size or rewriting queries to use indexes and LIMIT.
tmp_table_size and max_heap_table_size define the maximum size of in-memory temporary tables. MySQL uses the lower of the two.
Galaxy’s AI copilot flags unbounded SELECTs, suggests indexes, and lets teams review heavy queries before deployment, preventing memory overloads.
No. You can SET GLOBAL tmp_table_size at runtime, but existing sessions keep their original value until reconnect.
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