{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:07:35Z","timestamp":1768093655568,"version":"3.49.0"},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>The emergence of digital asset applications, driven by Web 3.0 and powered by blockchain technology, has led to a growing demand for blockchain-specific graph analytics to unearth the insights. However, current blockchain data analytics systems are unable to perform efficient ad-hoc graph analytics over both live and past time windows due to their inefficient data synchronization and slow graph snapshots retrieval capability. To address these issues, we propose ChainDash, a blockchain data analytics system that dedicates a highly-parallelized data synchronization component and a retrieval-optimized temporal graph store. By leveraging these techniques, ChainDash supports efficient ad-hoc graph analytics of smart contract activities over arbitrary time windows. In the demonstration, we showcase the interactive visualization interfaces of ChainDash, where attendees will execute customized queries for ad-hoc graph analytics of blockchain data.<\/jats:p>","DOI":"10.14778\/3611540.3611611","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T11:32:37Z","timestamp":1694777557000},"page":"4022-4025","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["ChainDash: An Ad-Hoc Blockchain Data Analytics System"],"prefix":"10.14778","volume":"16","author":[{"given":"Yushi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University and Blockchain Platform Division, Ant Group and Engineering Research Center of Blockchain Data Management, Ministry of Education"}]},{"given":"Liwei","family":"Yuan","sequence":"additional","affiliation":[{"name":"Blockchain Platform Division, Ant Group"}]},{"given":"Zhihao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University and Blockchain Platform Division, Ant Group and Engineering Research Center of Blockchain Data Management, Ministry of Education"}]},{"given":"Yekai","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University and Blockchain Platform Division, Ant Group and Engineering Research Center of Blockchain Data Management, Ministry of Education"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University and Engineering Research Center of Blockchain Data Management, Ministry of Education"}]},{"given":"Cheqing","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University and Engineering Research Center of Blockchain Data Management, Ministry of Education"}]},{"given":"Ying","family":"Yan","sequence":"additional","affiliation":[{"name":"Blockchain Platform Division, Ant Group"}]}],"member":"320","published-online":{"date-parts":[[2023,8]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"The Graph. 2023. The Graph. https:\/\/thegraph.com\/"},{"key":"e_1_2_1_2_1","unstructured":"Ant Group. 2023. AntChain. https:\/\/antchain.antgroup.com\/"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457333"},{"key":"e_1_2_1_4_1","volume-title":"Shin","author":"Ju Xiaoen","year":"2016","unstructured":"Xiaoen Ju, Dan Williams, Hani Jamjoom, and Kang G. Shin. 2016. Version Traveler: Fast and Memory-Efficient Version Switching in Graph Processing Systems. In USENIX Annual Technical Conference. USENIX Association, 523--536."},{"key":"e_1_2_1_5_1","volume-title":"29th USENIX Security Symposium, USENIX Security 2020","author":"Kalodner Harry A.","year":"2020","unstructured":"Harry A. Kalodner, Malte M\u00f6ser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, and Arvind Narayanan. 2020. BlockSci: Design and applications of a blockchain analysis platform. In 29th USENIX Security Symposium, USENIX Security 2020, August 12--14, 2020. USENIX Association, 2721--2738."},{"key":"e_1_2_1_6_1","volume-title":"DASFAA (2) (Lecture Notes in Computer Science)","author":"Li Yang","unstructured":"Yang Li, Kai Zheng, Ying Yan, Qi Liu, and Xiaofang Zhou. 2017. EtherQL: A Query Layer for Blockchain System. In DASFAA (2) (Lecture Notes in Computer Science), Vol. 10178. Springer, 556--567."},{"key":"e_1_2_1_7_1","volume-title":"Seltzer","author":"Macko Peter","year":"2015","unstructured":"Peter Macko, Virendra J. Marathe, Daniel W. Margo, and Margo I. Seltzer. 2015. LLAMA: Efficient graph analytics using Large Multiversioned Arrays. In ICDE. 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