XQuery triggers allow triggering actions in response to XML document changes in Sedna, an XML database. Triggers are defined using XQuery and can fire before or after insert, delete, or replace operations on nodes or entire statements. Triggers enable capabilities like integrity constraints and statistics monitoring. Sedna implements triggers efficiently using fixators on the schema to quickly detect triggered updates.
Query hierarchical data the easy way, with CTEsMariaDB plc
With common table expressions (CTEs), it’s easy to write recursive queries and query hierarchical data such as graphs – a lot easier than using a specialized graph database or writing complex client-side code. In this session, you’ll learn about the surprising number of places where graph data appears in modern applications and how to efficiently store and query it using MariaDB and common table expressions.
PACKAGES, Package Specification and Scope, Create Package Syntax, Declaring Procedures and Functions within a Package, Package Body, Create Package Body Syntax,Example –Package, Example– Package Body, Example – Calling Package Procedure, mResults of Calling Package Procedure, Cursors in Packages , cursor Example – Package Body, Example – Use Cursor Variable
Query hierarchical data the easy way, with CTEsMariaDB plc
With common table expressions (CTEs), it’s easy to write recursive queries and query hierarchical data such as graphs – a lot easier than using a specialized graph database or writing complex client-side code. In this session, you’ll learn about the surprising number of places where graph data appears in modern applications and how to efficiently store and query it using MariaDB and common table expressions.
PACKAGES, Package Specification and Scope, Create Package Syntax, Declaring Procedures and Functions within a Package, Package Body, Create Package Body Syntax,Example –Package, Example– Package Body, Example – Calling Package Procedure, mResults of Calling Package Procedure, Cursors in Packages , cursor Example – Package Body, Example – Use Cursor Variable
XQDT - XQuery Getting Momentum in Eclipseguesteb3ec2
These slides were presented during the EclipseCon 2010 in Santa Clara, California.
They present the new XQuery Tools that are now incubating in the XML project in Eclipse.
Dependency injection is a powerful technique allowing different parts of a system to collaborate with each other. Injection is the passing of a dependency (such as a service or database connection) to an object that would use it. This way, the object need not change because the outside service changed. This often also allows the object to be more easily tested by injecting a mock or stub service as the dependency.
Struts has outgrown its reputation as a simple web framework and has become more of a brand. Because of this, two next generation frameworks are being developed within the project: Shale and Action 2.0. Action 2.0 is based on WebWork, and though its backing beans are similar to JSF, its architecture is much simpler, and easier to use.
Migrating to Struts Action 2.0 is more about unlearning Struts than it is about learning the "WebWork Way". Once you understand how simple WebWork is, you'll find that Struts Action 2.0 is a powerful framework that supports action-based navigation, page-based navigation, AOP/Interceptors, components and rich Ajax support.
Come to this session to see code comparisons and learn about migration strategies to use the kick-ass web framework of 2006.
Drupal 8 configuration system for coders and site builders - DrupalCamp Balti...swentel
Session given at DrupalCamp Baltics 2013. Overview of the configuration management system in Drupal 8. Covers the api, config entities, context system.
Similar to XQuery Triggers in Native XML Database Sedna (20)
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
9. Implementation Aspects: efficient detection of fired triggers using fixators on descriptive schema
10. Triggers Experimental Study Time of update operation execution in milliseconds (Naïve approach compared to the method with fixators implemented in Sedna)
11. Database Users and Privileges Maria Grineva [email_address] PhD, Software Developer Sedna Team
Sedna supports triggers specifically designed to be suitable for XML data. Sedna triggers are based on XQuery, XPath and Sedna update language. Triggers in Sedna provide fine-grained processing. Processing granularity of triggers are the same as update language granularity. That is a trigger can be set on a particular nodes of XML-document in database and fire when these nodes are updated. One of the important trigger features is that they take into account XML data hierarchy. I will explain this aspect further more in detail. In general Sedna triggers provide wide range of possible applications that can be build upon them. These applications are analogous to those of Relational database applications that work using triggers. These are for example: different types of integrity constraints checking, event-based applications, statistics gathering, monitoring of events related to specific data changes.
So lets consider trigger in more detail. CREATE TRIGGER statement is incorporated into the Sedna Data Definition Language. With this statement a new trigger with trigger_name is created into the database. Triggers can be defined to execute either before or after any INSERT, DELETE or REPLACE operation, either once per modified node (node-level triggers), or once per the whole update statement (statement-level triggers). If a trigger event occurs, the trigger’s action is called at the appropriate time to handle the event. ON path is XPath expression identifies the nodes on which the trigger is set. That means that the trigger fires when corresponding modification (insertion, deletion or replacement) of those nodes occurs. Currently trigger implementation in Sedna that I will explain further in this presentation restricts these XPath expression to have predicates and parent axes. T rigger action is specified in braces {} after the DO key word. Action contains zero or more update statements and an XQuery query. Transition variables $NEW, $OLD and $WHERE are defined for each node-level trigger firing and can be used in each statement of the trigger action. These tree variables define the node subject to modification For example, for Insert-trigger : $NEW is the node being inserted; for delete-trigger $OLD is the node being deleted ; $WHERE is the parent node of the inserted or deleted nodes. For triggers on REPLACE operation, both $OLD and $NEW variables are defined You cannot use transition variables in statement-level triggers. Before-node-level-triggers are worth to mention, as they provide special flexible functionality. They can cancel the update operation for the current node if Xquery expression in the trigger body returns an empty sequence. And for INSERT and REPLACE triggers they can modify the inserted node. This modification is described in the trigger body by means of XQuery-expression, thus a new node that will be inserted can be built upon the existing node by means of XQuery constructors. Typically, node-level-before triggers are used for checking or modifying the data that will be inserted or updated. For example, a before trigger might be used to insert the current time node as a child of the inserting node. Node-level-after triggers are used to propagate the updates to other documents, or make consistency checks against other documents. The reason is that an after-trigger can be certain it is seeing the final value of the node, while a before-trigger cannot; there might be other before triggers firing after it. A Programmer designing his application that uses triggers must know that node-level triggers are typically cheaper then statement-level ones.
XML data hierarchy must be considered by triggers. For example, when a node is deleted all its descendants are also deleted. Thus, a trigger that is set on the descendant of the deleted node must be fired by this update.
The following trigger is set on insertion of person nodes. When some person node is inserted, the trigger analyzes its content and modifies it in the following way. If the person is under 14 years old, the trigger inserts additional child node age-group with the text value ’ young ’: if the person is older than 14 years old - the trigger inserts age-group node with value ’adult’.
The following trigger tr3 cancels person node deletion if there are any open auctions referenced by this person:
The next statement-level trigger tr4 maintains statistics in document stat. When this trigger is fired, the update operation is completed that gives the possibility to make aggregative checks on the updated data. After deletion of any node in auction document, the trigger refreshes statistics in stat and provides warning if there are less then 10 persons left.
While designing the subsystem of triggers support in Sedna, we considered different approaches. First, if to look at the relational database approaches, it is quite often that triggers are processed at the static analysis phase of the update execution. That is, when the update statement is passed for the execution, after the parser phase, it is analized by the optimizer, and the optimizer can understand which tables are accessed by the update statement, then optimizer checks the database metadata to see if there are triggers set on that table. And if there are, the update operation is rewritten in a way that it includes all the trigger processing. That is, trigger actions are put into the update statement at such an early phase. But applied to XQuery and XML data this approach opens a bunch of new problems. These problems conserned with the fact that triggers are set on nodes (not on the whole table). With XQuery Updates it is impossible to understand which nodes will be actually updated by the current update statement on the static analysis phase. And so, at this early phase we cannot know which triggers will be fired by this update. So, in Sedna we have decided to incorporate triggers support deep into the executor. Triggers are processed as update operation modifies node by node. This tight integration between trigger subsystem and the executor results in minimal overhead charges on trigger support. Now lets see what exactly method we use to support triggers.
The main idea of our method is to maintain special marks (that we call fixators) on the nodes of the descriptive schema of document. As Leonid described in his presentation in Sedna descriptive schema is a part of the storage. There are pointers from the data blocks onto the corresponding node of the descriptive schema. Lets follow how do we process a trigger. When the trigger is created for the database, the corresponding fixators are set on the nodes of the descriptive schema. Fixator are a small objects that contain trigger ID. Trigger action is stored as a set of precompiled statements in database metadata. Then when any update operation is executed for a node, we just follow the reference from the node to its corresponding node of the descriptive schema and check if there are any triggers set for this node. Then if there is a trigger fixator, this trigger action is executed either before or after this node modification. So, according to our method – all the overhead charges for the trigger support, consist in following one pointer and check the fixator presence.
I have done a set of experiments for the triggers in Sedna. This table contains the time of update statement execution in milliseconds when there are triggers set on the document that is modified. I compared our method with a naïve approach. By naïve approach I meant the approach when we do not use any special techniques and discover the fired triggers in a straightforward way - just by executing their XPath-expressions. So, when the update statement is passed to the Query Processor, we execute all trigger’s XPath expressions and thus determining which triggers on which nodes must be fired.
In Sedna Database Users and Privileges concept is similar to the one provided for SQL with some simplifications. The granularity of privileges is the whole document or collection thus this subsystem does not have any XML specifics. Here in my presentation I will not describe all the details about privileges, roles but just give an overview of them, and describe how this subsystem is implemented in Sedna. Every Sedna database contains a set of database users. Those users are separate from the users managed by the operating system on which Sedna runs. Users own database object (for examples, documents) and can assign privileges on those objects to other users to control who has access to that object. Database user names are global across a database (and not per all Sedna databases). There are following kinds of Sedna database objects: standalone document collection index Module Trigger There are two types of Sedna database users: Sedna database administrator (DBA user) ordinary user (below we call ”user”) There are corresponding statements in Database language for managing users. When the database is created , it always contains one predefined DBA user with name "SYSTEM" and password "MANAGER".
There are the following possible privileges. Some are them can be grated to the document or collection (for example CREATE-INDEX, QUERY, INSERT, DELETE) and some of them for the whole database like LOAD, RETRIEVE-METEDATA, CREATE-USER… Role is a named group of related privileges. Roles provide an easy and controlled way to manage privileges. To create role the corresponding statement CREATE ROLE is used. There are the following corresponding statements in Sedna DDL language. These statement again are identical to the SQL one.
So how does the privileges checking is processed in Sedna. When the database is created the default metadata document with first default database user is created inside the database. Then for each statement that is passed for the execution, the privileges-checking process is started that checks if the user that is running the session has all the needed privileges to execute current statement. This privileges-checking module in Sedna is divided into two part. One part is a part of the Query Optimizer. And another part is incorporated into the executor. The reason for this devision is following. For Data definition statement, such as CREATE COLLECTION for example, it is possible to know does the user have a necessary privilege. So, in the static analysis phase the optimizator creates an additional statement that is executed before the DDL statement. But for XQuery and Update statements at the static analysis phase we cannot know which documents will be finally accessed – and thus we need to check the privileges at the query riun time. So, when the document/collection root is accessed by the executor, it executes an additional precompiled statement to check the necessary privileges.