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XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO
arXiv - CS - Computational Engineering, Finance, and Science Pub Date : 2020-03-26 , DOI: arxiv-2003.11967
Weilin Zheng, Zibin Zheng, Hong-Ning Dai, Xu Chen, and Peilin Zheng

Blockchain-based cryptocurrencies and applications have flourished the blockchain research community. Massive data generated from diverse blockchain systems bring not only huge business values and but also technical challenges in data analytics of heterogeneous blockchain data. Different from Bitcoin and Ethereum, EOSIO has richer diversity and higher volume of blockchain data due to its unique architectural design in resource management, consensus scheme and high throughput. Despite its popularity (e.g., 89,800,000 blocks generated till Nov. 14, 2019 since its launching in June 8, 2018), few studies have been made on data analysis of EOSIO. To fill this gap, we collect and process the up-to-date on-chain data from EOSIO. We name these well-processed EOSIO datasets as XBlock-EOS, which consists of 7 well-processed datasets: 1) Block, Transaction and Action, 2) Internal and External EOS Transfer Action, 3) Contract Information, 4) Contract Invocation, 5) Token Action, 6) Account Creation, 7) Resource Management. It is challenging to process and analyze high volume of raw EOSIO data and establish the mapping from original raw data to the fine-grained datasets since it requires substantial efforts in exacting various types of data as well as sophisticated knowledge on software engineering and data analytics. Meanwhile, we present statistics and exploration on these datasets. Moreover, we also outline the possible research opportunities based on XBlock-EOS.

中文翻译:

XBlock-EOS:从 EOSIO 中提取和探索区块链数据

基于区块链的加密货币和应用使区块链研究社区蓬勃发展。不同区块链系统产生的海量数据不仅带来了巨大的商业价值,也带来了异构区块链数据数据分析的技术挑战。不同于比特币和以太坊,EOSIO 凭借其在资源管理、共识方案和高吞吐量方面的独特架构设计,具有更丰富的多样性和更大的区块链数据量。尽管它很受欢迎(例如,自 2018 年 6 月 8 日推出以来,到 2019 年 11 月 14 日为止生成了 89,800,000 个区块),但对 EOSIO 的数据分析的研究很少。为了填补这一空白,我们从 EOSIO 收集和处理最新的链上数据。我们将这些经过良好处理的 EOSIO 数据集命名为 XBlock-EOS,它由 7 个经过良好处理的数据集组成:1)Block,交易和动作,2)内部和外部 EOS 转移动作,3)合约信息,4)合约调用,5)Token 动作,6)账户创建,7)资源管理。处理和分析大量原始 EOSIO 数据并建立从原始原始数据到细粒度数据集的映射是具有挑战性的,因为它需要大量的努力来精确处理各种类型的数据以及软件工程和数据分析的复杂知识。同时,我们对这些数据集进行了统计和探索。此外,我们还概述了基于 XBlock-EOS 的可能研究机会。处理和分析大量原始 EOSIO 数据并建立从原始原始数据到细粒度数据集的映射是具有挑战性的,因为它需要大量的努力来精确处理各种类型的数据以及软件工程和数据分析的复杂知识。同时,我们对这些数据集进行了统计和探索。此外,我们还概述了基于 XBlock-EOS 的可能研究机会。处理和分析大量原始 EOSIO 数据并建立从原始原始数据到细粒度数据集的映射是具有挑战性的,因为它需要大量的努力来精确处理各种类型的数据以及软件工程和数据分析的复杂知识。同时,我们对这些数据集进行了统计和探索。此外,我们还概述了基于 XBlock-EOS 的可能研究机会。
更新日期:2020-06-05
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