esProc can help improve query performance by exporting database data into files for subsequent computation.
The article discusses a MySQL database containing the orders_30m table with 30 million rows of historical order data.
Using esProc, data can be exported to files like BTX or CTX for faster query processing.
Exporting data to BTX reduced query time from 17.69 seconds to 5.319 seconds, outperforming MySQL.
CTC files offer higher compression ratios and can further optimize query performance compared to BTX files.
Parallel computation using esProc with BTX or CTX files can significantly reduce query execution times.
esProc simplifies complex operations like TopN queries and offers concise and elegant syntax for faster processing.
Dumping data into files with esProc is recommended for static historical data analysis, providing significant speed advantages over traditional databases.
File-based approaches can be several to dozens of times faster than database queries, making them suitable for specific scenarios.
esProc offers mixed computation capabilities for processing new data scenarios beyond file exports.