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    Analytical Database development in Rust

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    • Introduction to Low-Level Performant Rust Code
      • 1.1Introduction to Low-Level Performant Rust Code
      • 1.2Memory Management in Rust
      • 1.3Rust's Ownership Model
      • 1.4Rust's Unique Features for Performance
    • The Foundation of Analytical Databases
      • 2.1Understanding Analytical Database
      • 2.2Applications of Analytical Database
      • 2.3Basic Components of Analytical Database
      • 2.4Difference between Analytical and Transactional Database
    • Data Structures for Query Execution
      • 3.1Understanding Data Structures
      • 3.2Importance of Data Structures in Databases
      • 3.3Review Relevant Rust Data Structures
      • 3.4Building Basic Query Structures
    • Writing a Performant Query Engine
      • 4.1Importance of Query Engines
      • 4.2Basic Components of Query Engines
      • 4.3Query Optimization Techniques
      • 4.4Implementing Basic Query Engine in Rust
    • Advanced Query Optimization
      • 5.1Advanced Query Optimization Techniques
      • 5.2Implementing Advanced Query Optimizations in Rust
      • 5.3Testing and Validating Query Optimizations
    • Understanding Database Concurrency Control
      • 6.1Concurrency Control in Databases
      • 6.2Techniques for Concurrency Control
      • 6.3Implementing Concurrency Control in Rust
    • Database Recovery Techniques
      • 7.1Understanding Data Recovery in Databases
      • 7.2Database Backup Techniques
      • 7.3Implementing Database Recovery Techniques in Rust
    • Indexing in Analytical Databases
      • 8.1The Role of Indexing
      • 8.2Implementing Indexing in Rust
      • 8.3Query Optimization with Indexing
    • Interfacing with an Analytical Database
      • 9.1Importance of Database Interfaces
      • 9.2Building APIs for Database Access
      • 9.3Securing Your Database
      • 9.4Predictable Query Performance
    • Database Security Essentials
      • 10.1Understanding Database Security Concerns
      • 10.2Implementing Security Measures in Rust
      • 10.3Testing Security Implementations
    • Open Source Database Contribution
      • 11.1The Open Source Database Ecosystem
      • 11.2Guided Review of Popular Open Source Rust Database Projects
      • 11.3Contributing to Open Source Rust Database Projects
    • Project- Build Your Own Analytical Database
      • 12.1Project Planning
      • 12.2Project Execution
      • 12.3Review and Debugging
    • Project Review and Course Conclusion
      • 13.1Course Review
      • 13.2Project Review
      • 13.3Implementing Feedback
      • 13.4Course Conclusion

    Writing a Performant Query Engine

    Basic Components of Query Engines

    organized collection of data in computing

    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.

    Query Parser

    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.

    Query Optimizer

    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.

    Execution Engine

    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.

    Transaction Manager

    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).

    Conclusion

    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.

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