101.school
CoursesAbout
Search...⌘K
Generate a course with AI...

    Analytical Database development in Rust

    Receive aemail containing the next unit.
    • 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

    Understanding Database Concurrency Control

    Techniques for Concurrency Control in Databases

    Concurrency control in databases is a critical aspect of maintaining data integrity when multiple transactions are executed simultaneously. This article will explore the various techniques used for concurrency control.

    Lock-Based Concurrency Control

    Lock-based concurrency control is one of the most common techniques used in databases. It involves locking the data item that a transaction is accessing to prevent other transactions from modifying it simultaneously. There are two types of locks: shared and exclusive. Shared locks allow multiple transactions to read (but not write) a data item simultaneously, while exclusive locks allow only one transaction to read or write a data item.

    Timestamp-Based Concurrency Control

    Timestamp-based concurrency control assigns a unique timestamp to each transaction. The database uses these timestamps to determine the order in which transactions should access data items. If a transaction tries to access a data item that is already being accessed by a transaction with a later timestamp, the database will abort the earlier transaction to prevent conflicts.

    Optimistic Concurrency Control

    Optimistic concurrency control assumes that conflicts between transactions are rare. It allows multiple transactions to execute without acquiring locks. However, before a transaction is committed, the database checks if any conflicts have occurred. If a conflict is detected, the database will abort the transaction.

    Multiversion Concurrency Control

    Multiversion concurrency control maintains multiple versions of a data item. When a transaction wants to read a data item, the database provides the version that was current at the start of the transaction. This allows read operations to proceed without waiting for write operations to complete, improving the overall performance of the database.

    Snapshot Isolation

    Snapshot isolation is a method of concurrency control that provides each transaction with a "snapshot" of the database at the start of the transaction. This snapshot includes all data items as they were at the start of the transaction, allowing the transaction to execute as if it were the only one accessing the database. This technique can significantly reduce conflicts between transactions but requires more storage space to maintain the snapshots.

    In conclusion, concurrency control is a vital aspect of database management. The choice of technique depends on the specific requirements of the database and the expected workload. Each technique has its advantages and trade-offs, and understanding these can help in choosing the most suitable one for a given situation.

    Test me
    Practical exercise
    Further reading

    Hey there, any questions I can help with?

    Sign in to chat
    Next up: Implementing Concurrency Control in Rust