Indexing Entire 2.4 Billion Transactions on Ethereum in 10 Hours
Indexing Entire 2.4 Billion Transactions on Ethereum in 10 Hours
This talk covers learnings from building a general-purpose indexer which index every single transaction since genesis. There is also technical decisions when we have to deal with 7 billions records of data and how to process all of those data in less than half a day. Additionally, we will discuss the difference between batch data processing and real-time data processing, sharing best practices and strategies for both approaches.