I was reading "How Query Engines Work" by Andy Grove and it was a fascinating deep dive into the internals of query engines. Here are my main takeaways:
SQL remains a popular interface for interacting with query engines and databases, facilitating efficient data retrieval.
SQL queries are translated into logical and physical plans, which are then optimized by the query engine's optimizer before execution.
Optimization rules like Projection Push-Down and Predicate Push-Down play a crucial role in enhancing performance.
To gain insights into query performance examine the query plan (In Postgres, you can use the command EXPLAIN SELECT * FROM mytable).
The optimized query plan is executed by the query engine's executor against the specified data source, resulting in the retrieval of the desired data.
Transaction Processing Council (TPC) Benchmarks are standardized tests used to evaluate the performance of database systems.
Datafusion: A fast and extensible query engine utilized in Apache Arrow, which is currently being used internally by InfluxDB.
The most interesting thing mentioned is Apache Flight Protocol built on top of gRPC, facilitates the seamless streaming of Arrow data over the network.
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