In the process of archiving in PolarDB, the instance's load resources will be occupied, and here is a detailed explanation:
1. Archiving process
PolarDB archiving is the process of moving unwanted data to a lower-cost storage medium. This process involves read, write, and delete operations on the data. During this process, PolarDB consumes certain computing and I/O resources to complete these operations.
2. Occupied load resources
During the archiving process, PolarDB will occupy the instance's load resources, including CPU, memory, and disk I/O. The specific amount of resources occupied depends on the following factors:
Data volume: The larger the amount of data to be archived, the more resources will be occupied.
Archiving speed: The faster the archiving speed, the more resources will be occupied.
Instance specification: The higher the specification of the instance, the more available resources there are, and the corresponding resource occupancy ratio will be reduced.
3. Impact analysis
During the archiving process, due to the occupation of the instance's load resources, it may have a certain impact on the performance of the instance, as follows:
Query performance: During the archiving process, due to the occupation of CPU and I/O resources, the query performance may be reduced.
Write performance: During the archiving process, due to the occupation of I/O resources, the write performance may be reduced.
4. Optimization suggestions
In order to reduce the impact on the instance's performance during the archiving process, the following strategies can be adopted:
Select a low-peak period for archiving to avoid archiving operations during business peak hours.
According to business needs, adjust the archiving speed reasonably to avoid excessive resource occupancy caused by too fast archiving speed.
According to business needs, choose the appropriate instance specification to ensure that the instance performance will not be greatly affected during the archiving process.
During PolarDB archiving, the instance's load resources will be occupied. To reduce the impact on the instance's performance, you can choose the appropriate time and adjust the archiving speed, as well as selecting the appropriate instance specification.
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