Distributed Database Systems Quiz 2

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What is the main purpose of concurrency control algorithms in a distributed database system?

To enforce the isolation property for concurrent transactions

Which property of reliability measures ensures that once a transaction is committed, its changes are permanent and persistent, even after system failures?

Durability

What is the primary function of distributed transaction processing in a distributed database system?

Managing concurrent transactions

Which aspect of data management in a distributed database system aims to handle large volumes of data from different sources in a scalable and efficient manner?

<p>Big Data Processing</p> Signup and view all the answers

What is the primary role of data replication in a distributed database system?

<p>Improving data availability</p> Signup and view all the answers

In terms of distributed database systems, what does integrity enforcement primarily aim to ensure?

<p>Correctness of transactions on the database</p> Signup and view all the answers

In a timestamp-based concurrency control algorithm, how is the serialization order established?

<p>By assigning each transaction a unique timestamp at initiation</p> Signup and view all the answers

What is the preferred method for timestamp assignment in a distributed DBMS to maintain uniqueness?

<p>Using the system clock values of each system</p> Signup and view all the answers

What is the two-tuple form of a timestamp in the context of assigning timestamps based on local counters?

<p>Local counter value, site identifier</p> Signup and view all the answers

What does the basic timestamp ordering algorithm try to achieve?

<p>To execute an operation as soon as it receives it</p> Signup and view all the answers

According to the TO Rule in the basic TO algorithm, when is operation Oij executed before Okl?

<p>When ts(Ti) &lt; ts(Tk)</p> Signup and view all the answers

What does a scheduler enforcing the TO rule do when it encounters a new operation?

<p>Checks it against conflicting operations and accepts it if the transaction is younger than all conflicting ones</p> Signup and view all the answers

What is the purpose of assigning read and write timestamps to each data item in the basic TO algorithm?

<p>To keep track of which transactions have read or written a specific data item</p> Signup and view all the answers

What is a drawback of the basic TO algorithm despite its deadlock freedom?

<p>It can potentially lead to numerous restarts of a transaction</p> Signup and view all the answers

What does the conservative TO algorithms attempt to lower?

<p>The number of transaction restarts</p> Signup and view all the answers

What does the conservative TO algorithms do with operations instead of causing them to wait?

<p>Delays each operation until there are no conflicting operations</p> Signup and view all the answers

According to the conservative TO algorithms, what does it delay each operation until?

<p>There are no conflicting operations</p> Signup and view all the answers

What do conservative TO algorithms attempt to achieve?

<p>To minimize system overhead by reducing restarts</p> Signup and view all the answers

Study Notes

Concurrency Control in Distributed Database Systems

  • The main purpose of concurrency control algorithms is to manage concurrent access to shared data in a distributed database system.

Reliability Measures

  • The property of reliability measures that ensures once a transaction is committed, its changes are permanent and persistent, even after system failures, is durability.

Distributed Transaction Processing

  • The primary function of distributed transaction processing is to manage multiple transactions executing concurrently in a distributed database system.

Data Management

  • Data management in a distributed database system aims to handle large volumes of data from different sources in a scalable and efficient manner, particularly focusing on data integration.

Data Replication

  • The primary role of data replication in a distributed database system is to maintain multiple copies of data to improve availability and performance.

Integrity Enforcement

  • Integrity enforcement in a distributed database system primarily aims to ensure data consistency and correctness.

Timestamp-Based Concurrency Control Algorithm

  • In a timestamp-based concurrency control algorithm, the serialization order is established by assigning a unique timestamp to each transaction.
  • The preferred method for timestamp assignment in a distributed DBMS is to maintain uniqueness by using a combination of a unique site identifier and a local timestamp.
  • The two-tuple form of a timestamp in the context of assigning timestamps based on local counters is (site-id, local-timestamp).

Basic Timestamp Ordering (TO) Algorithm

  • The basic timestamp ordering algorithm tries to achieve a serialization order that is consistent with the timestamp order.
  • According to the TO Rule, operation Oij is executed before Okl if the timestamp of Oij is less than the timestamp of Okl.
  • When a scheduler encounters a new operation, it executes it if its timestamp is the smallest among all pending operations.
  • Assigning read and write timestamps to each data item in the basic TO algorithm ensures that the system maintains a consistent serialization order.

Drawbacks and Enhancements

  • A drawback of the basic TO algorithm is that it is prone to starvation, where a transaction may be indefinitely postponed due to higher-timestamp transactions.
  • The conservative TO algorithms attempt to lower the possibility of starvation by allowing operations to proceed if they do not conflict with already committed transactions.
  • Instead of causing operations to wait, conservative TO algorithms execute them as soon as possible while maintaining a consistent serialization order.
  • According to the conservative TO algorithms, each operation is delayed until its timestamp is smaller than all other timestamps of operations that have been executed or are currently executing.
  • Conservative TO algorithms aim to achieve a higher level of concurrency while maintaining a consistent serialization order.

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