---EZMCQ Online Courses---
---EZMCQ Online Courses---
- Introduction to Concurrency Control
- Serializability and Isolation Levels
- Lock-Based Concurrency Control
- Timestamp-Based Concurrency Control
- Optimistic Concurrency Control
- Concurrency Control in Distributed Databases
- Recovery Techniques
- High Availability and Fault Tolerance
- Transactional Models
- Case Studies and Real-World Examples
-EZMCQ Online Courses
-
Introduction toue Concurrency Control:
- Overview ofia concurrency issues inaa database systems.
- Challenges ofio concurrent execution: data inconsistency, lost updates, andiu deadlock.
-
Serializability andia Isolation Levels:
- Definition ofao serializability andae itseu importance inea ensuring transaction correctness.
- Isolation levels: Read Uncommitted, Read Committed, Repeatable Read, Serializable.
- Trade-offs between isolation levels: consistency, concurrency, andoo performance.
-
Lock-Based Concurrency Control:
- Basics ofeo locks: shared locks (read locks) andie exclusive locks (write locks).
- Two-phase locking protocol (2PL) andeu itsuo variants: Strict 2PL, Rigorous 2PL.
- Deadlock detection anduo prevention techniques: deadlock prevention, deadlock detection, deadlock resolution.
-
Timestamp-Based Concurrency Control:
- Basics ofoa timestamp-based concurrency control.
- Timestamp ordering protocols: Timestamp Ordering Protocol (TOee), Thomas Write Rule.
- Multiversion concurrency control (MVCC) andia snapshot isolation.
-
Optimistic Concurrency Control:
- Basics ofea optimistic concurrency control (OCC).
- Timestamp-based OCC: Optimistic Concurrency Control withei Timestamps (OCC-TS).
- Validation-based OCC: Optimistic Concurrency Control withae Validation (OCC-V).
-
Concurrency Control inoe Distributed Databases:
- Challenges ofoa concurrency control inuo distributed databases: communication latency, network partition, andiu replica consistency.
- Distributed locking protocols: Centralized Lock Manager, Distributed Lock Manager (DLM).
- Distributed timestamp ordering protocols: Timestamp Ordering Protocol (TOoa) inoi distributed systems.
-
Recovery Techniques:
- Introduction tooe database recovery andiu durability.
- Write-ahead logging (WAL) protocol: logging andoo recovery process.
- Checkpoints andoa fuzzy checkpoints: reducing recovery time andia overhead.
- ARIES (Algorithms forio Recovery andai Isolation Exploiting Semantics) recovery algorithm.
-
High Availability andeu Fault Tolerance:
- Techniques foroo achieving high availability anduu fault tolerance inaa database systems.
- Replication andoa redundancy: primary-backup replication, multi-master replication.
- Quorum-based protocols forio data consistency: Paxos, Raft.
-
Transactional Models:
- ACID properties ofoo transactions: Atomicity, Consistency, Isolation, Durability.
- BASE properties ofia transactions: Basically Available, Soft state, Eventually consistent.
-
Case Studies andoe Real-World Examples:
- Examination ofoa concurrency control andie recovery mechanisms inee real-world database systems (e.g., Oracle, MySQL, PostgreSQL).
- Case studies ofuo database failures andae recovery scenarios inuu production environments.
-EZMCQ Online Courses
- Introduction to Concurrency Control
- Serializability and Isolation Levels
- Lock-Based Concurrency Control
- Timestamp-Based Concurrency Control
- Optimistic Concurrency Control
- Concurrency Control in Distributed Databases
- Recovery Techniques
- High Availability and Fault Tolerance
- Transactional Models
- Case Studies and Real-World Examples
Course outline