Summary:
When using LIMIT
in DynamoDB queries, the order of evaluation can differ from SQL queries, potentially leading to unexpected results depending on the search criteria used.
SQL Query Evaluation Order:
SQL queries follow a specific order of evaluation:
FROM -> ON -> JOIN -> WHERE -> GROUP BY -> HAVING -> SELECT -> DISTINCT -> ORDER BY -> LIMIT
LIMIT
is evaluated last, ensuring that only records meeting the specified criteria are retrieved and limited.
DynamoDB Query Evaluation Order:
In DynamoDB, the evaluation order depends on the type of search condition used:
-
Key Condition Expression (
key_condition_expression
):- Behaves similar to SQL, where
LIMIT
is evaluated after filtering records based on the key condition.
- Behaves similar to SQL, where
-
Filter Expression (
filter_expression
):-
LIMIT
is evaluated first, and then thefilter_expression
is applied to the resulting set of records. - This means that records not meeting the filter condition may still be retrieved, up to the specified
LIMIT
.
-
Implications:
We must be cautious when implementing LIMIT
in queries involving filter_expression
in DynamoDB. This behavior might lead to retrieving an insufficient number of items that actually meet the criteria, as LIMIT
might discard relevant items before they are even evaluated against the filter. Awareness and appropriate query design adjustments are essential to ensure that the application logic remains robust and performs as intended.
Recommendations:
- Always verify the behavior of
LIMIT
in your specific use case when working with DynamoDB. - Consider fetching more items initially or restructuring your queries to ensure that all necessary data is correctly retrieved and filtered.
- If possible, use
key_condition_expression
instead offilter_expression
when combined withLIMIT
, as it behaves more predictably like SQL. - Implement thorough testing and validation to ensure the expected results are obtained, especially when using
LIMIT
andfilter_expression
together.
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