IceFireDB: Distributed disk storage database based on Raft and Redis protocol

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  • IceFireDB

    @IceFireLabs -> IceFireDB is a database built for web3.0 It strives to fill the gap between web2 and web3.0 with a friendly database experience, making web3 application data storage more convenient, and making it easier for web2 applications to achieve decentralization and data immutability.

  • Tendis

    Tendis is a high-performance distributed storage system fully compatible with the Redis protocol.

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  • go

    my golang lib (by siddontang)

  • So what "IceFireDB" is:

    1. tidwall/uhaha - Raft server

    2. tidwall/redcon - Read/write redis protocol

    3. ledisdb/ledisdb - Redis-compatible with disk persistence via leveldb

    4. syndtr/goleveldb/leveldb - Provides snapshots, other scattered references throughout code

    It also includes this seemingly random file below, which seems to implement String/Slice for string/byte using unsafe.Pointer:

    https://github.com/siddontang/go/blob/master/hack/hack.go

  • act

    Aerospike Certification Tool (by aerospike)

  • It depends, yes but ... (not discounting any of the above).

    One sees a lot of 3:1 in practice due to the replication factor. If you have 3 copies of the data and the client can read from any node, you get 3x the read performance as having to have a quorum write on two out of three nodes.

    To the GP, for a rough swag of what is possible out of given hardware, a combination of FIO and ACT (measures IO latency under a fixed load) is a good start.

    https://fio.readthedocs.io/en/latest/fio_doc.html

    https://github.com/aerospike/act

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