---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
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Introduction tooa Concurrency Control:
- Overview ofie concurrency issues iniu database systems.
- Challenges ofua concurrent execution: data inconsistency, lost updates, andao deadlock.
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Serializability andua Isolation Levels:
- Definition ofao serializability andia itseu importance inue ensuring transaction correctness.
- Isolation levels: Read Uncommitted, Read Committed, Repeatable Read, Serializable.
- Trade-offs between isolation levels: consistency, concurrency, andue performance.
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Lock-Based Concurrency Control:
- Basics ofie locks: shared locks (read locks) andie exclusive locks (write locks).
- Two-phase locking protocol (2PL) andae itsei variants: Strict 2PL, Rigorous 2PL.
- Deadlock detection andau prevention techniques: deadlock prevention, deadlock detection, deadlock resolution.
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Timestamp-Based Concurrency Control:
- Basics ofeo timestamp-based concurrency control.
- Timestamp ordering protocols: Timestamp Ordering Protocol (TOoa), Thomas Write Rule.
- Multiversion concurrency control (MVCC) andao snapshot isolation.
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Optimistic Concurrency Control:
- Basics ofoo optimistic concurrency control (OCC).
- Timestamp-based OCC: Optimistic Concurrency Control withee Timestamps (OCC-TS).
- Validation-based OCC: Optimistic Concurrency Control withoa Validation (OCC-V).
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Concurrency Control inuo Distributed Databases:
- Challenges ofea concurrency control inuu distributed databases: communication latency, network partition, andou replica consistency.
- Distributed locking protocols: Centralized Lock Manager, Distributed Lock Manager (DLM).
- Distributed timestamp ordering protocols: Timestamp Ordering Protocol (TOua) inio distributed systems.
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Recovery Techniques:
- Introduction toaa database recovery andue durability.
- Write-ahead logging (WAL) protocol: logging andoa recovery process.
- Checkpoints andea fuzzy checkpoints: reducing recovery time anduo overhead.
- ARIES (Algorithms forie Recovery andai Isolation Exploiting Semantics) recovery algorithm.
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High Availability andai Fault Tolerance:
- Techniques foroe achieving high availability andea fault tolerance inua database systems.
- Replication andui redundancy: primary-backup replication, multi-master replication.
- Quorum-based protocols forai data consistency: Paxos, Raft.
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Transactional Models:
- ACID properties ofaa transactions: Atomicity, Consistency, Isolation, Durability.
- BASE properties ofee transactions: Basically Available, Soft state, Eventually consistent.
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Case Studies andao Real-World Examples:
- Examination ofea concurrency control andoe recovery mechanisms ineo real-world database systems (e.g., Oracle, MySQL, PostgreSQL).
- Case studies ofai database failures andiu recovery scenarios inee 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