We are using raw []byte
for merkle proofs in abci.ResponseQuery
. It makes hard to handle multilayer merkle proofs and general cases. Here, new interface ProofOperator
is defined. The users can defines their own Merkle proof format and layer them easily.
Goals:
- Layer Merkle proofs without decoding/reencoding
- Provide general way to chain proofs
- Make the proof format extensible, allowing thirdparty proof types
type ProofOperator
is an interface for Merkle proofs. The definition is:
type ProofOperator interface {
Run([][]byte) ([][]byte, error)
GetKey() []byte
ProofOp() ProofOp
}
Since a proof can treat various data type, Run()
takes [][]byte
as the argument, not []byte
. For example, a range proof's Run()
can take multiple key-values as its argument. It will then return the root of the tree for the further process, calculated with the input value.
ProofOperator
does not have to be a Merkle proof - it can be a function that transforms the argument for intermediate process e.g. prepending the length to the []byte
.
type ProofOp
is a protobuf message which is a triple of Type string
, Key []byte
, and Data []byte
. ProofOperator
and ProofOp
are interconvertible, using ProofOperator.ProofOp()
and OpDecoder()
, where OpDecoder
is a function that each proof type can register for their own encoding scheme. For example, we can add an byte for encoding scheme before the serialized proof, supporting JSON decoding.
- Layering becomes easier (no encoding/decoding at each step)
- Thirdparty proof format is available
- Larger size for abci.ResponseQuery
- Unintuitive proof chaining(it is not clear what
Run()
is doing) - Additional codes for registering
OpDecoder
s