Optimizing MySQL Queries for Smart Contract Data Retrieval in Blockchain Apps
Working on a project where performance is critical, especially with the growing data load from smart contracts, I've been tasked with optimizing MySQL queries used for data retrieval in our blockchain application... Currently, the application utilizes a MySQL database (version 8.0) to store user transaction histories and smart contract metadata. Unfortunately, the latency when fetching this data has become a bottleneck, especially during peak usage times. I’ve tried creating indexes on the tables that hold transaction records, but the performance gains have been minimal. Here’s a sample of my table structure: ```sql CREATE TABLE transactions ( id INT AUTO_INCREMENT PRIMARY KEY, user_id INT, contract_id VARCHAR(64), amount DECIMAL(10, 2), transaction_date DATETIME, INDEX(user_id), INDEX(contract_id) ); ``` The issue arises mainly when executing queries like this: ```sql SELECT * FROM transactions WHERE user_id = ? AND transaction_date > ? ORDER BY transaction_date DESC LIMIT 100; ``` Although indexes are in place, the query execution time remains high. Additionally, using profiling tools (such as MySQL's `EXPLAIN` statement) reveals that the index isn't being fully utilized due to the large result set. I've also considered partitioning the table based on date ranges, but I’m unsure how this would impact existing transaction records. The idea is to enhance the efficiency of read-heavy operations without incurring too much complexity in data management. Has anyone successfully implemented a similar optimization strategy for retrieving smart contract-related data in a MySQL context? Any insights or strategies that worked for you would be greatly appreciated. I'm using Sql LTS in this project. Thanks in advance! I recently upgraded to Sql 3.9. Any ideas what could be causing this?