15 stable releases
1.5.5 | Oct 2, 2024 |
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1.5.4 | Dec 30, 2023 |
1.5.3 | Oct 7, 2023 |
1.5.2 | Apr 30, 2023 |
1.0.0 | Apr 23, 2022 |
#1167 in Database interfaces
205 downloads per month
28KB
431 lines
scylla-macros-flex
This crate defines two derive macros:
-
FromRowFlex:
- Any NULL value is converted to the default value (default for option is none, don't use this derive macro if one of the fields doesn't implement default).
-
FromUserTypeFlex:
- A field not defined in the struct will be ignore without throwing an error. Warning: this could lead to a dataloss if the udt is overwritten with this partial udt.
- Any NULL value is converted to the default value (default for option is none, don't use this derive macro if one of the fields doesn't implement default).
serde_json support:
Allows you to use arbitrary structs serialized with serde_json, stored as text in Scylla/Cassandra.
They have approximately the same behavior as UDT.
Requires "serde_json" feature.
Derive Macros:
- FromJson
- IntoJson
Pros:
- Way more flexible than CQL **FROZEN** UDTs thanks to Rust enums
- Schema can be changed a lot without any issue.
Cons:
- Can take more space than UDT
- Can be slower than UDTs
rmp-serde support:
Allows you to use arbitrary structs serialized with MessagePack, stored as Blobs in Scylla/Cassandra.
They have approximately the same behavior as UDT.
Requires "rmp-serde" feature.
Derive Macros:
- FromMessagePack
- IntoMessagePack
Pros:
- Way more flexible than CQL **FROZEN** UDTs thanks to Rust enums
- Schema can be changed a lot without any issue.
- Most of the time uses less space than UDT
Cons:
- Can be slower than UDTs
speedy support:
Allows you to use arbitrary structs serialized with speedy, stored as Blobs in Scylla/Cassandra.
Use this only if you won't change your schema later. They have approximately the same behavior as UDT.
Requires "speedy" feature.
Derive Macros:
- FromSpeedy
- IntoSpeedy
Pros:
- Way more flexible than CQL **FROZEN** UDTs thanks to Rust enums
- Less storage required than UDTs because udt include fields names & udt names
- Faster than UDT (because speedy is quite fast)
Cons:
- You can't update a field in an atomic manner (like frozen UDTs)
- Changing your schema (eg. adding a field to a struct inside a Vec) will break everything.
Dependencies
~1.5MB
~37K SLoC