Error
Error Code:
3170
MySQL Error 3170: Memory Capacity Exceeded
Description
This error indicates that a MySQL operation or component has attempted to allocate more memory than its configured limit or the system's available resources allow. It typically occurs during resource-intensive queries, large data processing, or when system memory is constrained, preventing the operation from completing.
Error Message
Memory capacity of %llu bytes for '%s' exceeded. %s
Known Causes
3 known causesComplex Queries or Large Data Processing
Queries involving extensive joins, sorting, or temporary tables can demand significant memory, exceeding allocated limits.
Insufficient MySQL Configuration Limits
Database parameters like `tmp_table_size`, `max_heap_table_size`, or `sort_buffer_size` may be set too low for the current workload.
High Concurrent Workload
A large number of simultaneous connections or active queries can collectively exhaust the server's memory allocated to MySQL.
Solutions
3 solutions available1. Increase `tmp_table_size` and `max_heap_table_size` easy
Temporarily increase the maximum size of in-memory temporary tables.
1
Connect to your MySQL server using a client like `mysql` or MySQL Workbench.
2
Execute the following SQL commands to increase the `tmp_table_size` and `max_heap_table_size` variables. The values can be adjusted based on available memory, but start with a reasonable increase. For example, doubling them or setting them to a larger, but not excessive, value like 256M or 512M.
SET GLOBAL tmp_table_size = 268435456; -- 256MB
SET GLOBAL max_heap_table_size = 268435456; -- 256MB
3
To make these changes persistent across server restarts, you need to update your MySQL configuration file (e.g., `my.cnf` or `my.ini`). Locate the `[mysqld]` section and add or modify these lines. Restart the MySQL server after saving the configuration file.
[mysqld]
tmp_table_size = 268435456
max_heap_table_size = 268435456
2. Optimize Queries Involving Large Temporary Tables medium
Analyze and rewrite queries that are generating large temporary tables.
1
Identify the query causing the error. This often involves looking at the `SHOW PROCESSLIST;` output during peak load or using the slow query log to find problematic queries.
SHOW FULL PROCESSLIST;
2
Use `EXPLAIN` on the identified query to understand its execution plan. Look for operations that might be creating large temporary tables (e.g., `Using temporary`, `Using filesort`).
EXPLAIN SELECT ... FROM your_table WHERE ...;
3
Consider these optimization strategies:
- **Add appropriate indexes:** Ensure that columns used in `JOIN` conditions, `WHERE` clauses, and `ORDER BY` clauses are indexed. This can significantly reduce the need for temporary tables.
- **Rewrite complex queries:** Break down complex queries into simpler ones, or use subqueries more effectively. Sometimes, a different join order or join type can help.
- **Avoid `SELECT *`:** Only select the columns you actually need. This reduces the amount of data processed and stored in temporary tables.
- **Use `LIMIT` where appropriate:** If you only need a subset of results, use `LIMIT` to restrict the output size.
- **Add appropriate indexes:** Ensure that columns used in `JOIN` conditions, `WHERE` clauses, and `ORDER BY` clauses are indexed. This can significantly reduce the need for temporary tables.
- **Rewrite complex queries:** Break down complex queries into simpler ones, or use subqueries more effectively. Sometimes, a different join order or join type can help.
- **Avoid `SELECT *`:** Only select the columns you actually need. This reduces the amount of data processed and stored in temporary tables.
- **Use `LIMIT` where appropriate:** If you only need a subset of results, use `LIMIT` to restrict the output size.
3. Increase System Memory and MySQL Buffer Pool advanced
Allocate more RAM to the server and tune MySQL's primary memory cache.
1
Assess your server's available physical RAM. If the server is consistently running close to its memory limit, you may need to add more RAM to the hardware.
2
Tune `innodb_buffer_pool_size`. This is the most critical memory setting for InnoDB tables. Allocate a significant portion of your available RAM to it (typically 50-80% on a dedicated database server). Ensure it doesn't exceed available physical memory after accounting for the OS and other processes.
innodb_buffer_pool_size = 8G -- Example: 8GB, adjust based on your RAM
3
After adjusting `innodb_buffer_pool_size` in your MySQL configuration file (`my.cnf` or `my.ini`), restart the MySQL server for the changes to take effect.
4
Monitor system memory usage after making these changes. Tools like `htop` (Linux) or Task Manager (Windows) can be helpful.