Examples of using Item cache in English and their translations into French
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Colloquial
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Official
how long your application is able to tolerate inconsistent results between the query cache and the item cache.
use a write-around strategy, remember that DAX will populate its item cache whenever applications use the DAX client to read data.
DAX writes the item to its item cache.
Item cache-for items retrieved using GetItem or BatchGetItem.
Set the item cache TTL to 10 minutes 600000 milliseconds.
DAX attempts to read the requested item from the item cache.
DAX stores it in the item cache.
DAX assigns a timestamp to every item that it writes to the item cache.
DAX then writes the item to its item cache, and returns a successful response to Alice.
For example, DAX might need to evict older data from the item cache to make room for the new item. .
This section addresses the consistency implications of reading from and writing to the DAX item cache.
In this example, the item cache TTL will be set to 10 minutes
If the item cache becomes full, DAX will evict older items(even if they have not expired yet) to make room for new items. .
DAX attempts to read the items directly from the item cache using the specified key values.
For example, suppose that an application sends a GetItem request to a DAX cluster, and that there is no matching item in the DAX item cache.
If the item does not exist in DynamoDB, then DAX will store an empty item in its item cache, and then return the empty item to the application.
Access the Smart Cache Management in the"Smart Cache" item.
The number of bytes used to store cache items.
The number of new items the cache has stored.
The number of non-expired items the cache evicted to allow space for new writes.
