Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric
Ence Zhou, Haoli Sun, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita,, Yoshihide Nomura

TL;DR
Ledgerdata Refiner is a new platform that enhances data query capabilities for Hyperledger Fabric, enabling efficient, flexible, and historical data retrieval to support enterprise blockchain applications.
Contribution
It introduces a middleware-based query platform with rich interfaces and schema analysis for Hyperledger Fabric, addressing limitations of native data access methods.
Findings
Efficient retrieval of blocks and transactions demonstrated
Ability to track historical ledger operations validated
Schema clustering enables rich query functions
Abstract
Blockchain is one of the most popular distributed ledger technologies. It can solve the trust issue among enterprises. Hyperledger Fabric is a permissioned blockchain aiming at enterprise-grade business applications. However, compared to traditional distributed database solutions, one issue of blockchain based application development is the limited data access. For Fabric, the ledger data can only be retrieved by limited interfaces provided by Fabric SDKs or chaincode. In order to meet the requirements of data query and provide flexible query functions for real applications built on Fabric, this paper proposed a ledger data query platform called Ledgerdata Refiner. With ledger data analysis middleware, we provide sufficient interfaces for users to retrieve block or transaction efficiently. It is also able to track historical operations for any specific state. In addition, schemas of…
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Taxonomy
TopicsBlockchain Technology Applications and Security
