Chapter 12 transactions and concurrency controlAbDul ThaYyal
This document provides an overview and summary of key concepts related to transactions and concurrency control in distributed systems:
- Transactions allow a sequence of operations to be atomic and isolated despite crashes or concurrent operations. They ensure objects remain in a consistent state.
- Concurrency control techniques like locking and timestamp ordering ensure transactions are isolated and avoid problems like lost updates or inconsistent retrievals that could occur without synchronization.
- Transactions must commit atomically so their effects are durable even after crashes, or abort with no effect. Serializability ensures transactions have an effect equivalent to running serially one at a time.
The document discusses various database consistency models including ACID, BASE, and eventual consistency. It describes ACID which provides atomicity, consistency, isolation, and durability but has performance limitations. BASE sacrifices consistency for availability. Eventual consistency guarantees that if no new updates are made, all accesses will eventually return the last value. It also discusses solutions like ACID 2.0 and CRDTs which allow for ACID-like consistency in distributed systems through principles like commutativity and idempotence.
This document provides an introduction to React and Redux for beginners. It discusses why React is useful by separating state from the DOM for improved performance. React evolved to use a virtual DOM and JSX syntax. Redux is then introduced as a way to manage state in a predictable way using actions and reducers. An example toggle button is shown using React alone and then with Redux to demonstrate their combined use. Links to working demos of toggle buttons in different React and Redux implementations are provided.
1. This document contains a quiz reviewing Newton's three laws of motion. It asks students to identify which law applies to various scenarios involving forces and motion. It also asks students to define key terms like inertia, mass, force, and acceleration and perform calculations involving these quantities using Newton's second law.
The document discusses transaction management in EJB. It defines transactions and the ACID properties of atomicity, consistency, isolation, and durability. It describes transaction models like flat and nested transactions. It also discusses transaction isolation levels, distributed transactions using two-phase commit protocol, and how to control transactions programmatically using the Java Transaction API in EJB.
Intro to database systems homework questions- 1- List the ACID propert.docxolsenlinnea427
Intro to database systems homework questions:
1. List the ACID properties. Explain the usefulness of each.
2. During its execution, a transaction passes through several states, until it finally commits or aborts. List all possible sequences of states through which a transaction may pass. Explain why each state transition may occur?
3. Is it wise to allow a user process to access the shared memory area of a database system? Explain your answer.
Solution
1.
ACID properties
Atomicity
Everything or nothing ie a transaction is indivisible and most importantly either every thing occurs or nothing occurs.
Usefulness
To check weather a transcation is commited or not
Consistency
This property of a transaction states that the transaction is bring from one valid state to another valid state, the data written is valid according to the schema and all users of the database
Usefulness
Consistency ensures the concurrency in dbms
Isolation
Transactions are isolated means that the transactions doesnt intterupt each other implicitly, it also determines the visibility of transaction\'s integrity to all users
USefulness
It let each transaction thinks that the transcation has the exclusive use of the system
Durability
The commited transaction in the database will last long permanently.
Usefulness
The data updated by each transction remains as a record in tables
2.
The transaction passes through the following states
2.1 Active State : In state the transaction executes and is the initial state
2.2 Partially commited : The transcation in this state is completes its all operation and waits to get commit
2.3 Commeted: In this state the transaction is sucessfully writtten its data to database at permanent storage like hard disk
Now from Active state a transaction can go into following sequence of states
2.4 Fail: Due to some reasons like starvation and deadlock the transaction sometimes goes to filed state
2.5 Aborted State: In thi state the recovery system can take any one decision: to restart or to kill the transaction
Sequence of states
2.1-> 2.2 -> 2.3 -> Completed
2.1 - > 2.4 - > 2.5 -> end
2.1 -> 2.2 -> 2.4-> 2.5 -> end
3.
No it ios not adviced to allow a user to do so because the shared memory area of a database system may contain secured information like transaction lock files, the data structure of deadlock detection algorithms and many more like this. Allowing user processes to use shared memeory data area can lead to corruption of such important data
.
The document discusses concurrency control in database management systems. It defines key terms like transaction, atomicity, consistency, isolation, and durability. Transactions must have ACID properties - Atomicity, Consistency, Isolation, and Durability. Atomicity means all operations of a transaction are completed or none are. Consistency means the database remains consistent before and after a transaction. Isolation means transactions appear to execute serially despite concurrent execution. Durability means committed transactions persist even after failures.
Chapter 12 transactions and concurrency controlAbDul ThaYyal
This document provides an overview and summary of key concepts related to transactions and concurrency control in distributed systems:
- Transactions allow a sequence of operations to be atomic and isolated despite crashes or concurrent operations. They ensure objects remain in a consistent state.
- Concurrency control techniques like locking and timestamp ordering ensure transactions are isolated and avoid problems like lost updates or inconsistent retrievals that could occur without synchronization.
- Transactions must commit atomically so their effects are durable even after crashes, or abort with no effect. Serializability ensures transactions have an effect equivalent to running serially one at a time.
The document discusses various database consistency models including ACID, BASE, and eventual consistency. It describes ACID which provides atomicity, consistency, isolation, and durability but has performance limitations. BASE sacrifices consistency for availability. Eventual consistency guarantees that if no new updates are made, all accesses will eventually return the last value. It also discusses solutions like ACID 2.0 and CRDTs which allow for ACID-like consistency in distributed systems through principles like commutativity and idempotence.
This document provides an introduction to React and Redux for beginners. It discusses why React is useful by separating state from the DOM for improved performance. React evolved to use a virtual DOM and JSX syntax. Redux is then introduced as a way to manage state in a predictable way using actions and reducers. An example toggle button is shown using React alone and then with Redux to demonstrate their combined use. Links to working demos of toggle buttons in different React and Redux implementations are provided.
1. This document contains a quiz reviewing Newton's three laws of motion. It asks students to identify which law applies to various scenarios involving forces and motion. It also asks students to define key terms like inertia, mass, force, and acceleration and perform calculations involving these quantities using Newton's second law.
The document discusses transaction management in EJB. It defines transactions and the ACID properties of atomicity, consistency, isolation, and durability. It describes transaction models like flat and nested transactions. It also discusses transaction isolation levels, distributed transactions using two-phase commit protocol, and how to control transactions programmatically using the Java Transaction API in EJB.
Intro to database systems homework questions- 1- List the ACID propert.docxolsenlinnea427
Intro to database systems homework questions:
1. List the ACID properties. Explain the usefulness of each.
2. During its execution, a transaction passes through several states, until it finally commits or aborts. List all possible sequences of states through which a transaction may pass. Explain why each state transition may occur?
3. Is it wise to allow a user process to access the shared memory area of a database system? Explain your answer.
Solution
1.
ACID properties
Atomicity
Everything or nothing ie a transaction is indivisible and most importantly either every thing occurs or nothing occurs.
Usefulness
To check weather a transcation is commited or not
Consistency
This property of a transaction states that the transaction is bring from one valid state to another valid state, the data written is valid according to the schema and all users of the database
Usefulness
Consistency ensures the concurrency in dbms
Isolation
Transactions are isolated means that the transactions doesnt intterupt each other implicitly, it also determines the visibility of transaction\'s integrity to all users
USefulness
It let each transaction thinks that the transcation has the exclusive use of the system
Durability
The commited transaction in the database will last long permanently.
Usefulness
The data updated by each transction remains as a record in tables
2.
The transaction passes through the following states
2.1 Active State : In state the transaction executes and is the initial state
2.2 Partially commited : The transcation in this state is completes its all operation and waits to get commit
2.3 Commeted: In this state the transaction is sucessfully writtten its data to database at permanent storage like hard disk
Now from Active state a transaction can go into following sequence of states
2.4 Fail: Due to some reasons like starvation and deadlock the transaction sometimes goes to filed state
2.5 Aborted State: In thi state the recovery system can take any one decision: to restart or to kill the transaction
Sequence of states
2.1-> 2.2 -> 2.3 -> Completed
2.1 - > 2.4 - > 2.5 -> end
2.1 -> 2.2 -> 2.4-> 2.5 -> end
3.
No it ios not adviced to allow a user to do so because the shared memory area of a database system may contain secured information like transaction lock files, the data structure of deadlock detection algorithms and many more like this. Allowing user processes to use shared memeory data area can lead to corruption of such important data
.
The document discusses concurrency control in database management systems. It defines key terms like transaction, atomicity, consistency, isolation, and durability. Transactions must have ACID properties - Atomicity, Consistency, Isolation, and Durability. Atomicity means all operations of a transaction are completed or none are. Consistency means the database remains consistent before and after a transaction. Isolation means transactions appear to execute serially despite concurrent execution. Durability means committed transactions persist even after failures.
This document discusses database transaction management and concurrency control. It describes the properties of transactions, interference problems that can arise from simultaneous database access like lost updates, and tools used by DBMS to prevent these issues like locks and two-phase locking. Recovery tools are also covered, including transaction logs, checkpoints, and database backups that allow recovering data after failures.
The document discusses transaction concepts in database systems. It defines a transaction as a series of actions performed by a single user or application to access and modify database contents. Transactions must follow the ACID properties - atomicity, consistency, isolation, and durability. Concurrency control techniques like locking are used to ensure transactions execute correctly in a concurrent environment without interfering with each other. Serializability is discussed as a way to identify which non-serial schedules maintain consistency. Conflict serializability and precedence graphs are described as a technique to test schedules for serializability.
Welcome to the nightmare of locking, blocking and isolation levels!Boris Hristov
There will always be locking inside your SQL Server box! In this session we go deep into how locking mechanism works, what are the main problems around locking, how we can resolve them and when isolation levels can actually be of help!
The document discusses transactions in database management systems and the ACID properties that transactions must satisfy. It describes the four ACID properties - atomicity, consistency, isolation, and durability. Atomicity ensures that transactions are treated as an atomic unit and either fully occur or not at all. Consistency requires that transactions alone preserve the consistency of the database. Isolation ensures that concurrently executing transactions are isolated from each other. Durability means the effects of committed transactions persist even if the system crashes. The document also discusses transaction schedules, concurrency control, and anomalies that can occur with concurrent transaction execution.
This document outlines transaction concepts including properties, concurrency control, and recovery control. It discusses the ACID properties of transactions and techniques for concurrency control including locking and timestamping. It covers concurrency issues like lost updates, inconsistent analysis, and deadlocks. Recovery control techniques like logging and checkpoints are also summarized. Alternative models for long transactions like nested transactions, sagas, and workflow models are briefly outlined.
The document discusses transactions and the ACID properties that must be ensured to maintain data integrity in a database system. It defines a transaction, provides an example of a funds transfer transaction, and explains the goals of atomicity, consistency, isolation, and durability. It discusses issues that can arise from concurrent transaction execution like inconsistent views of data and lost updates. Mechanisms like concurrency control and locking are used to preserve the ACID properties when transactions run concurrently.
The document discusses transaction states, ACID properties, and concurrency control in databases. It describes the different states a transaction can be in, including active, partially committed, committed, failed, and terminated. It then explains the four ACID properties of atomicity, consistency, isolation, and durability. Finally, it discusses the need for concurrency control and some problems that can occur without it, such as lost updates, dirty reads, incorrect summaries, and unrepeatable reads.
The document discusses transaction management in database systems. It defines a transaction as a series of reads and writes to database objects that must be atomic, consistent, isolated, and durable (ACID properties). Allowing concurrent transactions can cause anomalies if their interleaved execution results in inconsistent data. Strict two-phase locking enforces serializability to avoid anomalies by requiring transactions to obtain shared or exclusive locks before reading or writing data. The database management system uses logging and two-phase commit to ensure atomicity and recover from failures.
Transactions allow database operations to be executed reliably and in isolation. The ACID properties - Atomicity, Consistency, Isolation, and Durability - guarantee that transactions are processed reliably. Isolation levels like Read Committed and Repeatable Read protect against dirty reads and non-repeatable reads. The highest isolation level, Serializable, prevents serialization anomalies. Proper use of locks and managing deadlocks are important to ensure transactions complete reliably. Optimistic locking provides an alternative locking approach to avoid lock contention.
The Nightmare of Locking, Blocking and Isolation Levels!Boris Hristov
This document provides an overview of locking, blocking, and transaction isolation levels in SQL Server. It begins with an introduction to locking and how SQL Server uses locks for concurrency control. It then discusses the different lock types, lock compatibility, and the lock hierarchy. The document demonstrates how to view locking information and troubleshoot locking problems. It also covers lock escalation, deadlocks, and resolving blocking issues. Finally, it concludes with an explanation of the various transaction isolation levels supported by SQL Server and how they differ in terms of concurrency and consistency.
Multi version Concurrency Control and its applications in Advanced database s...GauthamSK4
Talks about the problems of concurrency and lock based mechanism and need for Multi Version Concurrency Control (MVCC).
PostgreSQL, application of MVCC.
This document discusses transaction management and concurrency control in database systems. It defines a transaction as a logical unit of work that must be completed or aborted without intermediate states. Transactions are formed by multiple database requests and must transform the database from one consistent state to another. The document outlines the properties of transactions including atomicity, durability, serializability and isolation. It also discusses concurrency control techniques like locking and time stamping methods to coordinate simultaneous transaction execution and ensure serializability.
Locking is a concurrency control mechanism used by databases to control simultaneous access to data by multiple users. There are different types of locks like page, table, and row locks that can be applied at various levels of granularity. Locks prevent inconsistent data access and lost updates by blocking other transactions from modifying the same data that a transaction is currently accessing or modifying until that transaction is complete. The database's lock manager monitors all locks to detect and resolve any lock conflicts or deadlocks that may occur between transactions.
This document discusses transactions and concurrency control in distributed systems. It defines a transaction as a set of operations performed atomically by servers on objects. Transactions must be atomic, consistent, isolated, and durable (ACID). Synchronization is required between threads to ensure transactions execute properly. Various concurrency control techniques like locks are discussed to allow concurrent execution of transactions while preserving consistency. Deadlocks can occur if transactions reserve resources while waiting for others.
This document discusses reliability in distributed database management systems (DDBMS). It begins by defining key reliability concepts like failures, faults, errors, and measures of reliability like mean time between failures and availability. It then covers different types of failures that can occur in DDBMS like transaction failures, site failures, media failures, and communication failures. The document goes on to describe local reliability protocols used to maintain consistency despite failures, including logging, write-ahead logging, and different execution strategies for recovery. It concludes by discussing techniques for handling failures in distributed systems like data replication and protocols for dealing with site and network failures.
Transactions allow concurrent execution of user programs while maintaining data consistency. The DBMS abstracts user programs as transactions consisting of reads and writes. Through concurrency control techniques like locking and logging of writes, the DBMS ensures transactions execute reliably and leave the database in a consistent state, even if transactions interleave or the system crashes. The ACID properties guarantee atomicity, consistency, isolation, and durability for all transactions.
This document discusses transactions in database management systems. A transaction is a set of database operations that must be executed together as an atomic unit to maintain data integrity. Transactions have four main properties: atomicity, consistency, isolation, and durability (ACID). A transaction progresses through states from active to partially committed to either committed or aborted. Maintaining proper transaction execution and concurrent transaction processing is important for database consistency.
This document provides an overview of distributed transactions and the two-phase commit protocol used to coordinate transactions that involve multiple servers. It discusses flat and nested distributed transactions, and how the two-phase commit protocol works at both the top level and for nested transactions. Key points covered include how the coordinator ensures all participants commit or abort a transaction, how participants vote in the first phase and then commit or abort based on the coordinator's decision, and how status information is tracked for nested transactions.
1. Concurrency control and recovery in distributed databases faces additional problems compared to centralized databases such as dealing with multiple copies of data, site failures, and distributed transactions.
2. There are several techniques for concurrency control in distributed databases including designating a primary site for locking coordination, distributing the locking load across multiple primary copy sites, and using timestamps to order transactions.
3. Recovery from coordinator failures requires electing a new coordinator - either restarting transactions, using a backup site, or electing a new site via consensus.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This document discusses database transaction management and concurrency control. It describes the properties of transactions, interference problems that can arise from simultaneous database access like lost updates, and tools used by DBMS to prevent these issues like locks and two-phase locking. Recovery tools are also covered, including transaction logs, checkpoints, and database backups that allow recovering data after failures.
The document discusses transaction concepts in database systems. It defines a transaction as a series of actions performed by a single user or application to access and modify database contents. Transactions must follow the ACID properties - atomicity, consistency, isolation, and durability. Concurrency control techniques like locking are used to ensure transactions execute correctly in a concurrent environment without interfering with each other. Serializability is discussed as a way to identify which non-serial schedules maintain consistency. Conflict serializability and precedence graphs are described as a technique to test schedules for serializability.
Welcome to the nightmare of locking, blocking and isolation levels!Boris Hristov
There will always be locking inside your SQL Server box! In this session we go deep into how locking mechanism works, what are the main problems around locking, how we can resolve them and when isolation levels can actually be of help!
The document discusses transactions in database management systems and the ACID properties that transactions must satisfy. It describes the four ACID properties - atomicity, consistency, isolation, and durability. Atomicity ensures that transactions are treated as an atomic unit and either fully occur or not at all. Consistency requires that transactions alone preserve the consistency of the database. Isolation ensures that concurrently executing transactions are isolated from each other. Durability means the effects of committed transactions persist even if the system crashes. The document also discusses transaction schedules, concurrency control, and anomalies that can occur with concurrent transaction execution.
This document outlines transaction concepts including properties, concurrency control, and recovery control. It discusses the ACID properties of transactions and techniques for concurrency control including locking and timestamping. It covers concurrency issues like lost updates, inconsistent analysis, and deadlocks. Recovery control techniques like logging and checkpoints are also summarized. Alternative models for long transactions like nested transactions, sagas, and workflow models are briefly outlined.
The document discusses transactions and the ACID properties that must be ensured to maintain data integrity in a database system. It defines a transaction, provides an example of a funds transfer transaction, and explains the goals of atomicity, consistency, isolation, and durability. It discusses issues that can arise from concurrent transaction execution like inconsistent views of data and lost updates. Mechanisms like concurrency control and locking are used to preserve the ACID properties when transactions run concurrently.
The document discusses transaction states, ACID properties, and concurrency control in databases. It describes the different states a transaction can be in, including active, partially committed, committed, failed, and terminated. It then explains the four ACID properties of atomicity, consistency, isolation, and durability. Finally, it discusses the need for concurrency control and some problems that can occur without it, such as lost updates, dirty reads, incorrect summaries, and unrepeatable reads.
The document discusses transaction management in database systems. It defines a transaction as a series of reads and writes to database objects that must be atomic, consistent, isolated, and durable (ACID properties). Allowing concurrent transactions can cause anomalies if their interleaved execution results in inconsistent data. Strict two-phase locking enforces serializability to avoid anomalies by requiring transactions to obtain shared or exclusive locks before reading or writing data. The database management system uses logging and two-phase commit to ensure atomicity and recover from failures.
Transactions allow database operations to be executed reliably and in isolation. The ACID properties - Atomicity, Consistency, Isolation, and Durability - guarantee that transactions are processed reliably. Isolation levels like Read Committed and Repeatable Read protect against dirty reads and non-repeatable reads. The highest isolation level, Serializable, prevents serialization anomalies. Proper use of locks and managing deadlocks are important to ensure transactions complete reliably. Optimistic locking provides an alternative locking approach to avoid lock contention.
The Nightmare of Locking, Blocking and Isolation Levels!Boris Hristov
This document provides an overview of locking, blocking, and transaction isolation levels in SQL Server. It begins with an introduction to locking and how SQL Server uses locks for concurrency control. It then discusses the different lock types, lock compatibility, and the lock hierarchy. The document demonstrates how to view locking information and troubleshoot locking problems. It also covers lock escalation, deadlocks, and resolving blocking issues. Finally, it concludes with an explanation of the various transaction isolation levels supported by SQL Server and how they differ in terms of concurrency and consistency.
Multi version Concurrency Control and its applications in Advanced database s...GauthamSK4
Talks about the problems of concurrency and lock based mechanism and need for Multi Version Concurrency Control (MVCC).
PostgreSQL, application of MVCC.
This document discusses transaction management and concurrency control in database systems. It defines a transaction as a logical unit of work that must be completed or aborted without intermediate states. Transactions are formed by multiple database requests and must transform the database from one consistent state to another. The document outlines the properties of transactions including atomicity, durability, serializability and isolation. It also discusses concurrency control techniques like locking and time stamping methods to coordinate simultaneous transaction execution and ensure serializability.
Locking is a concurrency control mechanism used by databases to control simultaneous access to data by multiple users. There are different types of locks like page, table, and row locks that can be applied at various levels of granularity. Locks prevent inconsistent data access and lost updates by blocking other transactions from modifying the same data that a transaction is currently accessing or modifying until that transaction is complete. The database's lock manager monitors all locks to detect and resolve any lock conflicts or deadlocks that may occur between transactions.
This document discusses transactions and concurrency control in distributed systems. It defines a transaction as a set of operations performed atomically by servers on objects. Transactions must be atomic, consistent, isolated, and durable (ACID). Synchronization is required between threads to ensure transactions execute properly. Various concurrency control techniques like locks are discussed to allow concurrent execution of transactions while preserving consistency. Deadlocks can occur if transactions reserve resources while waiting for others.
This document discusses reliability in distributed database management systems (DDBMS). It begins by defining key reliability concepts like failures, faults, errors, and measures of reliability like mean time between failures and availability. It then covers different types of failures that can occur in DDBMS like transaction failures, site failures, media failures, and communication failures. The document goes on to describe local reliability protocols used to maintain consistency despite failures, including logging, write-ahead logging, and different execution strategies for recovery. It concludes by discussing techniques for handling failures in distributed systems like data replication and protocols for dealing with site and network failures.
Transactions allow concurrent execution of user programs while maintaining data consistency. The DBMS abstracts user programs as transactions consisting of reads and writes. Through concurrency control techniques like locking and logging of writes, the DBMS ensures transactions execute reliably and leave the database in a consistent state, even if transactions interleave or the system crashes. The ACID properties guarantee atomicity, consistency, isolation, and durability for all transactions.
This document discusses transactions in database management systems. A transaction is a set of database operations that must be executed together as an atomic unit to maintain data integrity. Transactions have four main properties: atomicity, consistency, isolation, and durability (ACID). A transaction progresses through states from active to partially committed to either committed or aborted. Maintaining proper transaction execution and concurrent transaction processing is important for database consistency.
This document provides an overview of distributed transactions and the two-phase commit protocol used to coordinate transactions that involve multiple servers. It discusses flat and nested distributed transactions, and how the two-phase commit protocol works at both the top level and for nested transactions. Key points covered include how the coordinator ensures all participants commit or abort a transaction, how participants vote in the first phase and then commit or abort based on the coordinator's decision, and how status information is tracked for nested transactions.
1. Concurrency control and recovery in distributed databases faces additional problems compared to centralized databases such as dealing with multiple copies of data, site failures, and distributed transactions.
2. There are several techniques for concurrency control in distributed databases including designating a primary site for locking coordination, distributing the locking load across multiple primary copy sites, and using timestamps to order transactions.
3. Recovery from coordinator failures requires electing a new coordinator - either restarting transactions, using a backup site, or electing a new site via consensus.
Similar to transaction ,concurrency , and DDBMS (20)
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
3. 1.1 Transaction
logical unit of work it consist of one or more operations that must be completed
together.It either be successfully complete or fail.
1.1.1 Commit
A transaction is committed if it is completely successful and makes changes in
data.
1.1.2 Rollback
if transaction failed and leave the data unchanged it is said the data has rolled
back.
1.2 Transaction properties(ACID properties)
1.2.1 Atomicity
A transaction must completely succeed or completely fail. If any statement fail
the entire transaction fails completely.
1.2.2 Consistency
After completion the transaction leaves the data in a consistent state. For example
money should never be “created “ or “deleted” without an deposit or withdrawal.
4. 1.2.3 Isolation
All transactions that modify the data are isolated from each other. A modifying
transaction can access the data only after the completion of other transaction
1.2.4 Durability
Durability means that the modifications made by a transaction are permanent
and persistent.
5. 1.3 Concurrency
Concurrency is a situation in which two users access the same piece of data at
the same time. It occurs very commonly but sometimes create some problems.
1.3.1 Lost update problem
Problem arises when two or more transactions update the same data. Each
transaction unaware of other transactions . The last update overwrites.
TIME TEAM A STOCK TABLE TEAM B
9:00 Qty=100
10:30 Retrieve Qty
Qty=100
Retrieve Qty
Qty=100
10:31 Update=Qty-90
10:32 Qty=10
10:33 Update=Qty+30
Qty=130
6. 1.3.2. Uncommitted Dependency Problem
In above example team B update the quantity 100 to 150
at time T1 and team A retrieve this update value at t2.Team
B rollbacks the action while making quantity 100 again .So,
the value of Team A becomes wrong at T3.
TIME TEAM A TEAM B
T1 - Update qty
T2 Retrieve qty -
T3 - Rollback
7. 1.3.3 Inconsistent Analysis Problems
problem occurs when one transaction reading the several values from the
DB but another transaction update these some of them during the executing
of the first transaction.
TIME TEAM A TEAM B
T1 Retrieve acc-1:Sum=40 -
T2 Retrieve acc-2:Sum=90 -
T3 Retrieve acc-3
T4 Update acc-3=0
T5 Retrieve acc-1
T6 Update acc-1=50
T7 Commit
T8 Retrieve acc-3:Sum=90
Three accounts Acc-1:40 Acc-2: 50 Acc-3: 30
8. 1.4 Resource locking
When a user access the data the second user has to wait until the first user
has finishes his work.
For example
USER 1 USER 2
1 Lock the item
2 retrieve the item
3 reduce item by 10
4 update the item
5 unlock the item
1 Lock the item
2 retrieve the item
3 reduce item by 10
4 update the item
5 unlock the item
Sequence of processing commands
by CPU
1 Lock the item user 1
2 retrieve the item user 1
3 lock the item for user 2.
already locked so user 2 has to wait
until user 1 unlock
4 reduce item by 10 for user 1
5 update the item for user 1
6 unlock the item for user 1
7 lock the item for user 2
8 retrieve item for user 2
9 reduce item by 20 for user 2
10 update the item for user 2
11 Unlock the item for user 2
9. 1.4.1 Lock terminology
1. Implicit lock
Type of lock placed automatically by DBMS.
2. Explicit lock
Placed by application program by issuing a command.
3. Exclusive lock
Type of lock that locks item for any type of access no other can read or update.
4. Shared lock
Locks an item from change but not from read is called share lock.
5. Lock Granularity
The level of lock applied on an item is known as lock granularity
Levels
a. Row level(smallest lock granularity)
b. Page level
c. Table level
d. Database level(largest lock granularity)
10. 5. Deadlock
Deadlock is a situation in which two transaction wait for completion of each
other.
USER 1 USER 2
1 Lock item A
2 Retrieve item A
3 Lock the item B
1 Lock item B
2 Retrieve item B
3 Lock the item A
Sequence processing by command in CPU
1 Lock the item A for user 1.
2 Lock the item B for user 2.
3 Retrieve A for user 1.
4 Retrieve item B for user 2.
5 Put user 1 in wait for user 2.
6 Put user 2 in wait for user 1
11. 5.1 Solution of deadlock
1 Deadlock prevention
In this type users allow to issue only one lock request at a time.If user A and B
at once in the first line deadlock will not occurs.
2 Deadlock detection & recovery
If one transaction of user 2 is aborted then the item will be released from the lock
and the user 1 will be able to complete his work.
When a transaction is aborted then all changes made by that transaction should
be undone.
12. 6. Types of Distributed DBMS
6.1 Homogeneous DDBMS
Means that the DB technology is the same or at least compatible to each .
It simplify the data sharing among different users.
Characteristics of Homogeneous DDBMS
i. Data distributed across all the nodes.
ii. The same DBMS used.
iii. All date manage by the DDBMS there is no exclusively local data.
iv. All users access the DB through database definition.
v. The global schema is the union of local DB schemas.
13. 6.2 Heterogeneous DDBMS
Different DBMS used at each node. Much more difficult to manage.
Characteristics of Heterogeneous DDBMS
i. Data distributed across all the nodes.
ii. Different DBMS used at each location.
iii. A global schema exist which allow local user to access the data
iv. Some users require only local access to databases which cab be accomplished
using only local data DBMS and schema.