Struggling with SQL queries for on-chain data while migrating a blockchain project's backend
I'm dealing with Can someone help me understand I'm dealing with I'm working on a personal project and Building an application that tracks user interactions with smart contracts, I'm migrating our existing SQL backend to accommodate on-chain data queries... The goal is to seamlessly aggregate and analyze transaction histories from Ethereum using PostgreSQL. Recently, I implemented a function to fetch user transaction data based on wallet addresses, but performance is lagging significantly when dealing with larger datasets. Here’s the query I’m using: ```sql SELECT wallet_address, transaction_hash, timestamp, value FROM transactions WHERE wallet_address IN ( SELECT wallet_address FROM users WHERE user_id = $1 ) ORDER BY timestamp DESC; ``` This approach works, but it takes too long for users with extensive histories. I’ve tried indexing the `wallet_address` field, but the performance gains are minimal. Should I consider partitioning the tables based on date ranges to improve retrieval speeds? Additionally, I've read about using materialized views to pre-aggregate the data; would that be beneficial in this context? While exploring alternatives, I attempted to use CTEs to simplify data retrieval: ```sql WITH user_transactions AS ( SELECT wallet_address, transaction_hash, timestamp, value FROM transactions ) SELECT * FROM user_transactions WHERE wallet_address = $1 ORDER BY timestamp DESC; ``` However, that also didn’t yield the expected performance improvements. If anyone has experience optimizing SQL queries for blockchain-related data, I’d appreciate insights on best practices or potential pitfalls to avoid. How do you handle large volumes of transactional data effectively, especially when it needs to be queried frequently? Any advice or alternative strategies would be great! Am I missing something obvious? My development environment is Ubuntu. Has anyone else encountered this? I'm using Sql 3.10 in this project. Hoping someone can shed some light on this. My team is using Sql for this service.