A transaction is a logical unit of work that contains one or more SQL statements. It begins with the first executable SQL statement and ends either when committed or rolled back. Changes are permanent after a commit, while a rollback undoes all changes. Transactions provide atomicity, consistency, isolation, and durability (ACID) properties to maintain data integrity when multiple users access and change data simultaneously.
A transaction is one or more SQL statements that must be completed as a whole. Transactions provide a way of grouping multiple operations into a single all-or-nothing action. There are three types of transactions: autocommit transactions, explicit transactions defined using transaction control statements, and implicit transactions enabled by setting the implicit transactions session setting. Transactions ensure data integrity and consistency using the ACID properties - atomicity, consistency, isolation, and durability.
subject- database management system (dbms)
topic ppt present-
Transaction Concept
Transaction State
Implementation of Atomicity and Durability
Concurrent Executions
Recoverability
Serializability and schedule also types
ACID Properties
Transaction Operations
Transactions are logical units of work that maintain the integrity and consistency of data in a database. Transactions ensure that either all data updates are committed to the database, or if an error occurs, all updates are rolled back. The database management system uses commit and rollback functions to guarantee the atomicity of transactions. Concurrency control implemented by the transaction manager ensures transactions are isolated from each other and data consistency is preserved during parallel transaction execution.
The Ultimate Guide to Oracle solaris 11 installation and configuration essent...SoniaSrivastva
The document discusses data manipulation language (DML) statements and transaction control in Oracle databases. It describes how DML statements such as INSERT, UPDATE, and DELETE are used to add, modify, and remove data from tables, and how transactions group these statements so their effects are all committed or rolled back together. Transactions can be committed to make changes permanent or rolled back to undo them, and savepoints can mark points within a transaction to which a rollback can revert changes.
This document discusses MySQL transactions. It defines transactions as sequential groups of data manipulation language (DML) statements that are performed atomically as a single unit. The document outlines the ACID properties that transactions provide - atomicity, consistency, isolation, and durability. It provides a sample banking transaction scenario and explains the SQL syntax used for transactions, including START TRANSACTION, COMMIT, and ROLLBACK statements.
This document discusses database transactions in SQL. It defines transactions as a sequence of database modifications executed as a single unit that are either all committed or rolled back. The ACID properties that ensure transactions are atomic, consistent, isolated, and durable are described. Transaction statements like BEGIN, COMMIT, and ROLLBACK that mark the start, end, and rollback of transactions are covered. An example transaction that updates two records is provided to demonstrate transactions.
This document discusses transaction management and concurrency control in databases. It defines a transaction as a logical unit of work that must be entirely completed or aborted, with no partial states. Transactions have properties of atomicity, consistency, isolation, and durability. The document uses an example of a sales transaction to illustrate transactions and explains how the database transaction log tracks transactions to support recovery.
Stored procedures, cursors, and transactions in MySQL are discussed. Key points:
- Stored procedures allow encapsulating repetitive tasks and are compiled only once for improved efficiency. Syntax and examples of creating and calling stored procedures are provided.
- Cursors enable iterating over database records sequentially. Syntax for declaring, opening, fetching, and closing cursors is explained.
- Transactions ensure data integrity by allowing a set of SQL statements to be treated as a single unit that must fully commit or roll back. The ACID properties of transactions - atomicity, consistency, isolation, and durability - are defined. Examples of using transactions with stored procedures and cursors are given.
A transaction is one or more SQL statements that must be completed as a whole. Transactions provide a way of grouping multiple operations into a single all-or-nothing action. There are three types of transactions: autocommit transactions, explicit transactions defined using transaction control statements, and implicit transactions enabled by setting the implicit transactions session setting. Transactions ensure data integrity and consistency using the ACID properties - atomicity, consistency, isolation, and durability.
subject- database management system (dbms)
topic ppt present-
Transaction Concept
Transaction State
Implementation of Atomicity and Durability
Concurrent Executions
Recoverability
Serializability and schedule also types
ACID Properties
Transaction Operations
Transactions are logical units of work that maintain the integrity and consistency of data in a database. Transactions ensure that either all data updates are committed to the database, or if an error occurs, all updates are rolled back. The database management system uses commit and rollback functions to guarantee the atomicity of transactions. Concurrency control implemented by the transaction manager ensures transactions are isolated from each other and data consistency is preserved during parallel transaction execution.
The Ultimate Guide to Oracle solaris 11 installation and configuration essent...SoniaSrivastva
The document discusses data manipulation language (DML) statements and transaction control in Oracle databases. It describes how DML statements such as INSERT, UPDATE, and DELETE are used to add, modify, and remove data from tables, and how transactions group these statements so their effects are all committed or rolled back together. Transactions can be committed to make changes permanent or rolled back to undo them, and savepoints can mark points within a transaction to which a rollback can revert changes.
This document discusses MySQL transactions. It defines transactions as sequential groups of data manipulation language (DML) statements that are performed atomically as a single unit. The document outlines the ACID properties that transactions provide - atomicity, consistency, isolation, and durability. It provides a sample banking transaction scenario and explains the SQL syntax used for transactions, including START TRANSACTION, COMMIT, and ROLLBACK statements.
This document discusses database transactions in SQL. It defines transactions as a sequence of database modifications executed as a single unit that are either all committed or rolled back. The ACID properties that ensure transactions are atomic, consistent, isolated, and durable are described. Transaction statements like BEGIN, COMMIT, and ROLLBACK that mark the start, end, and rollback of transactions are covered. An example transaction that updates two records is provided to demonstrate transactions.
This document discusses transaction management and concurrency control in databases. It defines a transaction as a logical unit of work that must be entirely completed or aborted, with no partial states. Transactions have properties of atomicity, consistency, isolation, and durability. The document uses an example of a sales transaction to illustrate transactions and explains how the database transaction log tracks transactions to support recovery.
Stored procedures, cursors, and transactions in MySQL are discussed. Key points:
- Stored procedures allow encapsulating repetitive tasks and are compiled only once for improved efficiency. Syntax and examples of creating and calling stored procedures are provided.
- Cursors enable iterating over database records sequentially. Syntax for declaring, opening, fetching, and closing cursors is explained.
- Transactions ensure data integrity by allowing a set of SQL statements to be treated as a single unit that must fully commit or roll back. The ACID properties of transactions - atomicity, consistency, isolation, and durability - are defined. Examples of using transactions with stored procedures and cursors are given.
This document provides an introduction and overview of stored procedures and functions in SQL. It discusses transaction management using COMMIT and ROLLBACK statements. It defines stored procedures as precompiled collections of SQL statements that can accept parameters and return values. Stored procedures offer benefits like modular programming and faster execution. The document also introduces user-defined functions and provides examples of creating and executing stored procedures and functions.
The document discusses transactions in SQL Server and how to implement them. It describes how transactions ensure data consistency and prevent inconsistencies by allowing all modifications to be committed together or none at all. The key aspects covered include:
- Using BEGIN TRANSACTION and COMMIT TRANSACTION statements to explicitly define a transaction.
- Using ROLLBACK TRANSACTION to revert all changes made in a transaction.
- Examples of transactions that update multiple tables and ensuring the changes can be reverted if a condition is not met.
- Discussing savepoints that allow rolling back parts of a transaction instead of the whole transaction.
This document discusses PL/SQL transactions and cursors. It defines a transaction as a series of related SQL statements that are treated as a logical unit by Oracle. Transactions are committed or rolled back. Cursors allow processing of multiple rows of data from a table. There are implicit cursors used by Oracle internally and explicit cursors that are declared and opened in a PL/SQL block to process data row by row. The document provides examples of using transactions with commit, rollback, and savepoints as well as examples of using implicit and explicit cursors.
This document provides an overview of managing data and concurrency in Oracle databases. It covers using SQL to manipulate data through INSERT, UPDATE, DELETE, and MERGE commands. It also describes PL/SQL objects like packages, procedures, functions and triggers. Finally, it discusses how to monitor and resolve locking conflicts that can occur from concurrent transactions through detecting and resolving blocking sessions and deadlocks.
The document discusses transactions in MySQL. It explains that a transaction ensures that a group of database operations are all successfully completed or if any operation fails, the entire transaction will be rolled back. It provides an example of a stored procedure that uses transactions to insert related data into two tables, ensuring both inserts succeed or neither succeed. The procedure uses START TRANSACTION, COMMIT, and ROLLBACK statements. It also discusses using DECLARE CONTINUE HANDLER to catch warnings or exceptions and rollback the transaction.
TRANSACTION MANAGEMENT AND TIME STAMP PROTOCOLS AND BACKUP RECOVERYRohit Kumar
The document discusses transactions and concurrency control in database systems. It defines transactions as logical units of work that ensure data integrity during concurrent operations. It describes four key properties of transactions - atomicity, consistency, isolation, and durability (ACID) - and explains how they maintain data correctness. The document also discusses serialization, schedules, locking protocols like two-phase locking, and isolation levels to coordinate concurrent transactions and avoid anomalies like dirty reads.
Transaction Properties in database | ACID Propertiesnomanbarki
Noman Khan, a 4th semester CS student, is giving a presentation on transaction properties (ACID properties) for his Computer Science department. The presentation discusses that a transaction must either fully commit or rollback, leaving the data in a consistent state. A transaction must also have four key properties: Atomicity, ensuring all-or-nothing changes; Consistency, ensuring valid state transitions; Isolation, ensuring transactions don't interfere; and Durability, ensuring transaction changes survive crashes.
An autonomous transaction has its own COMMIT and ROLLBACK scope to ensure that its outcome does not effect the caller’s uncommitted changes. Additionally, the COMMITs and ROLLBACK in the calling transaction should not effect the changes that were finalized on the completion of autonomous transaction itself.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
This document discusses transaction concepts and properties in database systems. It covers:
- Transactions access and possibly update data items as a unit of execution.
- ACID properties that transactions must satisfy: Atomicity, Consistency, Isolation, and Durability.
- Serializability is required for concurrent transaction executions to be equivalent to a serial execution and preserve consistency.
- Concurrency control schemes ensure transactions are isolated and serializability is enforced.
This document provides an overview of database transactions. It defines transactions and discusses their key concepts and states. It describes ACID properties including atomicity, consistency, isolation, and durability. It discusses implementation of atomicity and durability using shadow databases. It also covers concurrent execution, serializability, recoverability, and how transactions are defined in SQL.
Transactions allow changes to a database to be treated atomically - all changes succeed or none do. They ensure data integrity and consistency by allowing the database to transition between valid states. Transactions exhibit ACID properties - Atomicity, Consistency, Isolation, and Durability. Transaction control statements like COMMIT, ROLLBACK, and SAVEPOINT explicitly end transactions and control rollback points. Integrity constraints like primary keys and foreign keys enforce data validity. Distributed transactions update data across multiple database nodes.
This document discusses embedded SQL, functions, procedures, and triggers. Embedded SQL allows SQL statements to be embedded within host languages like C/C++ and Java. Functions and procedures can be written in SQL or an external language and used to perform calculations on data. Triggers are stored programs that automatically execute in response to data changes or other events. The document provides examples of how to create and use these database objects to query and manipulate data.
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.
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.
What is Advance DBMS, introduction to ADBMSSaqibAlam14
This document discusses advanced database concepts and transaction management. It defines advanced databases as targeting NoSQL and newSQL databases that support trends like analytics, streaming, and in-memory processing. It then covers the basics of transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Examples are provided to illustrate transaction processing and how isolation levels address issues like dirty reads, non-repeatable reads, and phantom reads. The key aspects of reliable transactions in ensuring data integrity and consistency are emphasized.
PROCEDURE FOR MONTH END DAY 1 INCLUDING SCREEN SHOT & SCRIPTS (Final rev 090211)Shakil Zaman
1. The document outlines the multi-step month-end close procedure for ClearChannel, including notifying IT, restricting user access in AX, running SQL scripts to populate tables, and updating records.
2. Key steps include creating a service ticket for IT, confirming trades are posted, changing all AX users to read-only access, running SQL scripts to load MBR data and make scrubbing edits, and notifying IT once complete.
3. The procedure involves coordinating between finance, business systems, and IT to complete the population of tables and month-end close activities in a controlled process.
This document provides an introduction and overview of stored procedures and functions in SQL. It discusses transaction management using COMMIT and ROLLBACK statements. It defines stored procedures as precompiled collections of SQL statements that can accept parameters and return values. Stored procedures offer benefits like modular programming and faster execution. The document also introduces user-defined functions and provides examples of creating and executing stored procedures and functions.
The document discusses transactions in SQL Server and how to implement them. It describes how transactions ensure data consistency and prevent inconsistencies by allowing all modifications to be committed together or none at all. The key aspects covered include:
- Using BEGIN TRANSACTION and COMMIT TRANSACTION statements to explicitly define a transaction.
- Using ROLLBACK TRANSACTION to revert all changes made in a transaction.
- Examples of transactions that update multiple tables and ensuring the changes can be reverted if a condition is not met.
- Discussing savepoints that allow rolling back parts of a transaction instead of the whole transaction.
This document discusses PL/SQL transactions and cursors. It defines a transaction as a series of related SQL statements that are treated as a logical unit by Oracle. Transactions are committed or rolled back. Cursors allow processing of multiple rows of data from a table. There are implicit cursors used by Oracle internally and explicit cursors that are declared and opened in a PL/SQL block to process data row by row. The document provides examples of using transactions with commit, rollback, and savepoints as well as examples of using implicit and explicit cursors.
This document provides an overview of managing data and concurrency in Oracle databases. It covers using SQL to manipulate data through INSERT, UPDATE, DELETE, and MERGE commands. It also describes PL/SQL objects like packages, procedures, functions and triggers. Finally, it discusses how to monitor and resolve locking conflicts that can occur from concurrent transactions through detecting and resolving blocking sessions and deadlocks.
The document discusses transactions in MySQL. It explains that a transaction ensures that a group of database operations are all successfully completed or if any operation fails, the entire transaction will be rolled back. It provides an example of a stored procedure that uses transactions to insert related data into two tables, ensuring both inserts succeed or neither succeed. The procedure uses START TRANSACTION, COMMIT, and ROLLBACK statements. It also discusses using DECLARE CONTINUE HANDLER to catch warnings or exceptions and rollback the transaction.
TRANSACTION MANAGEMENT AND TIME STAMP PROTOCOLS AND BACKUP RECOVERYRohit Kumar
The document discusses transactions and concurrency control in database systems. It defines transactions as logical units of work that ensure data integrity during concurrent operations. It describes four key properties of transactions - atomicity, consistency, isolation, and durability (ACID) - and explains how they maintain data correctness. The document also discusses serialization, schedules, locking protocols like two-phase locking, and isolation levels to coordinate concurrent transactions and avoid anomalies like dirty reads.
Transaction Properties in database | ACID Propertiesnomanbarki
Noman Khan, a 4th semester CS student, is giving a presentation on transaction properties (ACID properties) for his Computer Science department. The presentation discusses that a transaction must either fully commit or rollback, leaving the data in a consistent state. A transaction must also have four key properties: Atomicity, ensuring all-or-nothing changes; Consistency, ensuring valid state transitions; Isolation, ensuring transactions don't interfere; and Durability, ensuring transaction changes survive crashes.
An autonomous transaction has its own COMMIT and ROLLBACK scope to ensure that its outcome does not effect the caller’s uncommitted changes. Additionally, the COMMITs and ROLLBACK in the calling transaction should not effect the changes that were finalized on the completion of autonomous transaction itself.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
The document discusses data manipulation language (DML) statements in Oracle such as INSERT, UPDATE, DELETE, and MERGE. It provides examples of using each statement to add, modify, remove, and merge rows in database tables. It also covers transactions, locking, and maintaining data integrity with constraints when using DML statements.
This document discusses transaction concepts and properties in database systems. It covers:
- Transactions access and possibly update data items as a unit of execution.
- ACID properties that transactions must satisfy: Atomicity, Consistency, Isolation, and Durability.
- Serializability is required for concurrent transaction executions to be equivalent to a serial execution and preserve consistency.
- Concurrency control schemes ensure transactions are isolated and serializability is enforced.
This document provides an overview of database transactions. It defines transactions and discusses their key concepts and states. It describes ACID properties including atomicity, consistency, isolation, and durability. It discusses implementation of atomicity and durability using shadow databases. It also covers concurrent execution, serializability, recoverability, and how transactions are defined in SQL.
Transactions allow changes to a database to be treated atomically - all changes succeed or none do. They ensure data integrity and consistency by allowing the database to transition between valid states. Transactions exhibit ACID properties - Atomicity, Consistency, Isolation, and Durability. Transaction control statements like COMMIT, ROLLBACK, and SAVEPOINT explicitly end transactions and control rollback points. Integrity constraints like primary keys and foreign keys enforce data validity. Distributed transactions update data across multiple database nodes.
This document discusses embedded SQL, functions, procedures, and triggers. Embedded SQL allows SQL statements to be embedded within host languages like C/C++ and Java. Functions and procedures can be written in SQL or an external language and used to perform calculations on data. Triggers are stored programs that automatically execute in response to data changes or other events. The document provides examples of how to create and use these database objects to query and manipulate data.
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.
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.
What is Advance DBMS, introduction to ADBMSSaqibAlam14
This document discusses advanced database concepts and transaction management. It defines advanced databases as targeting NoSQL and newSQL databases that support trends like analytics, streaming, and in-memory processing. It then covers the basics of transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Examples are provided to illustrate transaction processing and how isolation levels address issues like dirty reads, non-repeatable reads, and phantom reads. The key aspects of reliable transactions in ensuring data integrity and consistency are emphasized.
PROCEDURE FOR MONTH END DAY 1 INCLUDING SCREEN SHOT & SCRIPTS (Final rev 090211)Shakil Zaman
1. The document outlines the multi-step month-end close procedure for ClearChannel, including notifying IT, restricting user access in AX, running SQL scripts to populate tables, and updating records.
2. Key steps include creating a service ticket for IT, confirming trades are posted, changing all AX users to read-only access, running SQL scripts to load MBR data and make scrubbing edits, and notifying IT once complete.
3. The procedure involves coordinating between finance, business systems, and IT to complete the population of tables and month-end close activities in a controlled process.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Presentation of the OECD Artificial Intelligence Review of Germany
1_Transaction.pdf
1. 1. Introduction to Transactions
A transaction is a logical unit of work that contains one or more SQL statements. A transaction
is an atomic unit. The effects of all the SQL statements in a transaction can be either
all committed (applied to the database) or all rolled back (undone from the database).
A transaction begins with the first executable SQL statement. A transaction ends when it is
committed or rolled back, either explicitly with a COMMIT or ROLLBACK statement or
implicitly when a DDL statement is issued.
Sample Transaction: Account Debit and Credit
Oracle Database must allow for two situations. If all three SQL statements maintain the accounts
in proper balance, then the effects of the transaction can be applied to the database. However, if a
problem such as insufficient funds, invalid account number, or a hardware failure prevents one or
two of the statements in the transaction from completing, then the database must roll back the
entire transaction so that the balance of all accounts is correct.
The following graphic illustrates a banking transaction. The first statement subtracts $500 from
savings account 3209. The second statement adds $500 to checking account 3208. The third
statement inserts a record of the transfer into the journal table. The final statement commits the
transaction.
Banking Transaction
2. Structure of a Transaction
A database transaction consists of one or more statements. Specifically, a transaction consists of
one of the following:
One or more data manipulation language (DML) statements that together constitute an atomic change
to the database.
One data definition language (DDL) statement.
A transaction has a beginning and an end.
Beginning of a Transaction
A transaction begins when the first executable SQL statement is encountered.
An executable SQL statement is a SQL statement that generates calls to a database instance, including
DML and DDL statements and the SET TRANSACTION statement.
When a transaction begins, Oracle Database assigns the transaction to an available undo data segment to
record the undo entries for the new transaction. A transaction ID is not allocated until an undo segment
and transaction table slot are allocated, which occurs during the first DML statement. A transaction ID is
unique to a transaction and represents the undo segment number, slot, and sequence number.
The following example execute an UPDATE statement to begin a transaction and queries V$TRANSACTION for
details about the transaction:
create table Project (id number primary key,
projectName varchar2(50),
cost number);
insert into project values (1, 'JUPITER', 2000);
insert into project values (2, 'Saturn', 1000);
insert into project values (3, 'Mercury', 15000);
SQL> UPDATE project SET cost= cost;
-- rows updated.
SQL> SELECT XID, NAME, STATUS FROM V$TRANSACTION;
XID NAME STATUS
---------------- ---------- ----------------
09000700D5020000 (null) ACTIVE
End of a Transaction
A transaction can end under different circumstances.
3. A transaction ends when any of the following actions occurs:
A user issues a COMMIT or ROLLBACK statement without a SAVEPOINT clause.
In a commit, a user explicitly or implicitly requested that the changes in the transaction be made
permanent. Changes made by the transaction are permanent and visible to other users only after a
transaction commits. The transaction shown in "Sample Transaction: Account Debit and Credit" ends
with a commit.
A user runs a DDL command such as CREATE, DROP, RENAME, or ALTER.
The database issues an implicit COMMIT statement before and after every DDL statement. If the
current transaction contains DML statements, then Oracle Database first commits the transaction and
then runs and commits the DDL statement as a new, single-statement transaction.
A user exits normally from most Oracle Database utilities and tools, causing the current transaction to
be implicitly committed. The commit behavior when a user disconnects is application-dependent and
configurable.
A client process terminates abnormally, causing the transaction to be implicitly rolled back
using metadata stored in the transaction table and the undo segment.
Statement Execution and Transaction Control
A SQL statement that runs successfully is different from a committed transaction. Executing
successfully means that a single statement was:
Parsed
Found to be a valid SQL construction
Run without error as an atomic unit. For example, all rows of a multirow update are
changed.However, until the transaction that contains the statement is committed, the
transaction can be rolled back, and all of the changes of the statement can be undone. A
statement, rather than a transaction, runs successfully.
Commit Transactions
Committing means that a user has explicitly or implicitly requested that the changes in the
transaction be made permanent. An explicit request occurs when the user issues
a COMMIT statement. An implicit request occurs after normal termination of an application or
completion of a data definition language (DDL) operation. The changes made by the SQL
statement(s) of a transaction become permanent and visible to other users only after that
transaction commits. Queries that are issued after the transaction commits will see the committed
changes.
Rollback of Transactions
Use the ROLLBACK statement to undo work done in the current transaction or to manually undo
the work done by an in-doubt distributed transaction.
Using ROLLBACK without the TO SAVEPOINT clause performs the following operations:
4. Ends the transaction
Undoes all changes in the current transaction
Erases all savepoints in the transaction
Releases any transaction locks
Savepoint in Transactions
The SAVEPOINT statement names and marks the current point in the processing of a
transaction. With the ROLLBACK TO statement, savepoints undo parts of a transaction instead
of the whole transaction.
A simple rollback or commit erases all savepoints. When you roll back to a savepoint, any
savepoints marked after that savepoint are erased. The savepoint to which you roll back remains.
An implicit savepoint is marked before executing an INSERT, UPDATE, or DELETE statement.
If the statement fails, a rollback to the implicit savepoint is done. Normally, just the failed SQL
statement is rolled back, not the whole transaction; if the statement raises an unhandled
exception, the host environment (such as SQL*Plus) determines what is rolled back.
Examples
The following statement rolls back your entire current transaction:
ROLLBACK;
The following statement rolls back your current transaction to savepoint banda_sal:
ROLLBACK TO SAVEPOINT banda_sal;
Note that a RAISE_APPLICATION_ERROR or a RAISE [exception name] statement will also
automatically rollback your PL/SQL block as a single atomic unit. Which is of course a desirable
effect as it doesn't leave you with uncommitted changes.
Transaction Control
Time Session Explanation
t0 COMMIT;
This statement ends any existing transaction in the
session.
t1 SET TRANSACTION NAME
'sal_update';
This statement begins a transaction and names
it sal_update.
t2 UPDATE employees
SET salary = 7000
WHERE last_name =
'Banda';
This statement updates the salary for Banda to 7000.
5. Time Session Explanation
t3 SAVEPOINT
after_banda_sal;
This statement creates a savepoint named after_banda_sal,
enabling changes in this transaction to be rolled back to
this point.
t4 UPDATE employees
SET salary =
12000
WHERE last_name =
'Greene';
This statement updates the salary for Greene to 12000.
t5 SAVEPOINT
after_greene_sal;
This statement creates a savepoint named after_greene_sal,
enabling changes in this transaction to be rolled back to
this point.
t6 ROLLBACK TO SAVEPOINT
after_banda_sal;
This statement rolls back the transaction to t3, undoing
the update to Greene's salary at t4.
The sal_update transaction has not ended.
t7 UPDATE employees
SET salary =
11000
WHERE last_name =
'Greene';
This statement updates the salary for Greene to 11000 in
transaction sal_update.
t8 ROLLBACK;
This statement rolls back all changes in
transaction sal_update, ending the transaction.
t9 SET TRANSACTION NAME
'sal_update2';
This statement begins a new transaction in the session and
names it sal_update2.
t10 UPDATE employees
SET salary = 7050
WHERE last_name =
'Banda';
This statement updates the salary for Banda to 7050.
t11 UPDATE employees
SET salary =
10950
WHERE last_name =
'Greene';
This statement updates the salary for Greene to 10950.
t12 COMMIT;
This statement commits all changes made in
transaction sal_update2, ending the transaction. The
commit guarantees that the changes are saved in the
online redo log files.
6. 2. Overview of Transaction Processing in
PL/SQL
Using COMMIT in PL/SQL
The COMMIT statement ends the current transaction, making any changes made during that
transaction permanent, and visible to other users. Transactions are not tied to PL/SQL BEGIN-
END blocks. A block can contain multiple transactions, and a transaction can span multiple blocks.
CREATE TABLE accounts (account_id NUMBER(6), balance NUMBER (10,2));
INSERT INTO accounts VALUES (7715, 6350.00);
INSERT INTO accounts VALUES (7720, 5100.50);
DECLARE
transfer NUMBER(8,2) := 250;
BEGIN
UPDATE accounts SET balance = balance - transfer WHERE account_id = 7715;
UPDATE accounts SET balance = balance + transfer WHERE account_id = 7720;
COMMIT;
END;
/
Using ROLLBACK in PL/SQL
The ROLLBACK statement ends the current transaction and undoes any changes made during that
transaction. If you make a mistake, such as deleting the wrong row from a table, a rollback restores
the original data. If you cannot finish a transaction because an exception is raised or a SQL
statement fails, a rollback lets you take corrective action and perhaps start over.
CREATE TABLE emp_name AS SELECT employee_id, last_name FROM employees;
CREATE UNIQUE INDEX empname_ix ON emp_name (employee_id);
CREATE TABLE emp_sal AS SELECT employee_id, salary FROM employees;
CREATE UNIQUE INDEX empsal_ix ON emp_sal (employee_id);
CREATE TABLE emp_job AS SELECT employee_id, job_id FROM employees;
CREATE UNIQUE INDEX empjobid_ix ON emp_job (employee_id);
7. DECLARE
emp_id NUMBER(6);
emp_lastname VARCHAR2(25);
emp_salary NUMBER(8,2);
emp_jobid VARCHAR2(10);
BEGIN
SELECT employee_id, last_name, salary, job_id INTO emp_id, emp_lastname,
emp_salary, emp_jobid FROM employees WHERE employee_id = 120;
INSERT INTO emp_name VALUES (emp_id, emp_lastname);
INSERT INTO emp_sal VALUES (emp_id, emp_salary);
INSERT INTO emp_job VALUES (emp_id, emp_jobid);
EXCEPTION
WHEN DUP_VAL_ON_INDEX THEN
ROLLBACK;
DBMS_OUTPUT.PUT_LINE('Inserts have been rolled back');
END;
/
Using SAVEPOINT in PL/SQL
SAVEPOINT names and marks the current point in the processing of a transaction. Savepoints let you
roll back part of a transaction instead of the whole transaction. The number of active savepoints for
each session is unlimited.
CREATE TABLE emp_name AS SELECT employee_id, last_name, salary FROM
employees;
CREATE UNIQUE INDEX empname_ix ON emp_name (employee_id);
DECLARE
emp_id employees.employee_id%TYPE;
emp_lastname employees.last_name%TYPE;
emp_salary employees.salary%TYPE;
BEGIN
SELECT employee_id, last_name, salary INTO emp_id, emp_lastname,
emp_salary FROM employees WHERE employee_id = 120;
UPDATE emp_name SET salary = salary * 1.1 WHERE employee_id = emp_id;
DELETE FROM emp_name WHERE employee_id = 130;
SAVEPOINT do_insert;
INSERT INTO emp_name VALUES (emp_id, emp_lastname, emp_salary);
EXCEPTION
WHEN DUP_VAL_ON_INDEX THEN
8. ROLLBACK TO do_insert;
DBMS_OUTPUT.PUT_LINE('Insert has been rolled back');
END;
/
If you exit a stored subprogram with an unhandled exception, PL/SQL does not assign values
to OUT parameters, and does not do any rollback.