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command not allowed when used memory > 'maxmemory' was prompted when the program writes data.No. | Possible Cause | Troubleshooting Method | Solution |
1 | The increase in the volume of written data leads to an increase in memory usage. The key is not set in the TTL policy. | 1. Log in to the Tencent Cloud Distributed Cache console, click an instance ID, and enter the instance details page. 2. Select the System Monitoring tab to view the corresponding monitoring metrics of the instance, including Memory Utilization, Total Keys, Expired Keys, and Evicted Keys. Then, you can analyze whether the memory utilization is consistent with the fluctuation trend of the number of keys. | If the memory usage is proportional to the total number of keys, the possible causes are as follows. The memory may be increased due to the normal data written by the business. Evaluate your business needs and expand the Distributed Cache instance in time. For directions, see Changing Instance Specification. The memory may increase due to the accumulation of keys due to the failure to set a reasonable eviction policy and deletion frequency for expired keys. The eviction policy setting is unreasonable, which may easily cause invalid keys to occupy too much space. To modify the parameters related to key expiration time, eviction policy, and deletion frequency, reconfigure the maxmemory-policy and hz parameters on the Parameter Settings page in the console. For directions, see Setting Instance Parameters. If the deletion frequency for expired keys is set too high, that is, if the value of hz increases, more CPU resources will be occupied. The hz value should not be too large. You can adjust it as needed. |
2 | Input buffer overflow is caused by writing a big key caused the . Reading large keys, requesting a large number of command returns, or executing monitor commands causes output buffer overflow. | Analyze memory skew issues with the Performance Optimization feature of DBbrain. For more information, see Memory Analysis. | Perform value splitting and optimization for abnormally large keys. For more information, see Hot Key and Big Key.。 |
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