Comments (2)
@photonbit That is confusing from the source, thanks for pointing that out. The first comment, from Index, is only used for table creation, which is meant just for setting up tests at this point, and that only supports keys only indexes.
But all indexes should be supported, just by passing the index name as a string to the query function. If an index does not include all the attributes, the resulting models will error when you try to access a missing attribute (until you call refresh(), or if you pass load_full_item=True
to query.
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Perfect, thank you!
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Related Issues (13)
- Batching HOT 2
- Pydantic v2 HOT 5
- Dyntastic import error HOT 1
- support for env variable based metadata HOT 3
- Localstack support HOT 3
- Attr query by class variables. HOT 1
- Consider removing the dependency pinning HOT 4
- Feature request: __table_host__ or endpoint_url HOT 3
- Transaction methods? HOT 22
- `.query()` over large data sets with a `filter_condition` does not return expected results HOT 4
- serialization does not honor json_encoders from Pydantic Model HOT 5
- [FEATURE] Support KEYS_ONLY secondary index HOT 2
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