Organized collection of data in computing.
A query engine is a crucial part of a database system. It is responsible for interpreting and executing queries, which are requests to retrieve or manipulate data within the database. The query engine's performance significantly impacts the overall performance of the database system. Therefore, understanding the basic components of a query engine is essential for anyone looking to build a performant database.
The first component of a query engine is the query parser. The parser's job is to take a query written in a database query language (like SQL) and convert it into a format that the query engine can understand and execute. This process involves checking the syntax of the query, validating it, and then transforming it into a parse tree, which is a tree data structure that represents the syntactic structure of the query.
Once the query has been parsed, it is passed to the query optimizer. The optimizer's role is to determine the most efficient way to execute the query. It does this by generating multiple execution plans for the query, estimating the cost of each plan, and then choosing the plan with the lowest cost. The cost of a plan is typically estimated based on factors like the amount of data that needs to be read from disk, the number of CPU operations required, and the amount of memory needed.
The execution engine is the component that actually carries out the execution plan generated by the query optimizer. It reads data from the database, performs computations, and writes results back to the database. The execution engine needs to be highly efficient, as it is the component that does the heavy lifting in processing queries.
The transaction manager is responsible for ensuring that the database maintains its integrity and consistency even when multiple queries are being executed concurrently. It does this by managing transactions, which are sequences of queries that are executed as a single unit. The transaction manager ensures that each transaction is atomic (either all its queries are executed, or none are), consistent (it leaves the database in a valid state), isolated (it appears to execute in isolation from other transactions), and durable (once a transaction is committed, its effects are permanent).
In conclusion, a query engine is made up of several components, each with its own crucial role. Understanding these components and how they interact is key to building a performant database. In the next unit, we will delve into query optimization techniques, which are crucial for the query optimizer component of the query engine.