The document describes SQL-like commands for creating, altering, querying, and manipulating graph database types, indices, and data. It includes commands for creating and modifying types and attributes, inserting and updating data, indexing, querying, and more. Sample commands are provided to demonstrate creating types for user profiles with various attributes, inserting sample profile data, running queries to retrieve and aggregate data, and altering types and indices.
Dig Deeper into WordPress - WD Meetup CairoMohamed Mosaad
Dig deeper into WordPress is a presentation made for Web Designers Meetup in Cairo taken place on 17th Dec 2012.
Signup at WPMonkeys.com to get notified when awesome new WordPress related content is published.
This is a presentation about XStream, the lightweight and easy-to-use open source Java™ library, used for serializing java objects into XML and de-serializing XML back into java objects.
Introduction to the persistent layer implemented for FLOW3. The presentation was held on the 4th International TYPO3 Conference in Berlin, October 2008.
Dig Deeper into WordPress - WD Meetup CairoMohamed Mosaad
Dig deeper into WordPress is a presentation made for Web Designers Meetup in Cairo taken place on 17th Dec 2012.
Signup at WPMonkeys.com to get notified when awesome new WordPress related content is published.
This is a presentation about XStream, the lightweight and easy-to-use open source Java™ library, used for serializing java objects into XML and de-serializing XML back into java objects.
Introduction to the persistent layer implemented for FLOW3. The presentation was held on the 4th International TYPO3 Conference in Berlin, October 2008.
There are many ways we can structure components. We want components to be reusable, but only to the degree that is reasonable. We want to build small components that can be used to build bigger concepts. Ideally, we want to build loosely coupled & highly cohesive components, so our system is easier to maintain and grow. In React components props can be treated like function arguments and that’s exactly the case for functional stateless components. How we define props in a component, defines how a component can be reused.
There are many ways we can structure components. We want components to be reusable, but only to the degree that is reasonable. We want to build small components that can be used to build bigger concepts. Ideally, we want to build loosely coupled & highly cohesive components, so our system is easier to maintain and grow. In React components props can be treated like function arguments and that’s exactly the case for functional stateless components. How we define props in a component, defines how a component can be reused.
Type safe embedded domain-specific languagesArthur Xavier
Language is everything; it governs our lives: from our thought processes, our communication abilities and our understanding of the world, all the way up to law, politics, logic and programming. All of these domains of human experience are governed by different languages that talk to each other, and so should be your code. Haskell provides all the means necessary—and many more—to easily and safely use embedded small languages that are tailored to specific needs and business domains.
In this series of lectures and workshops, we will explore the whats, whys and hows of embedded domain-specific languages in Haskell, and how language oriented programing can bring type-safety, composability and simplicity to the development of complex applications.
Explains DOM and Events. HTML-Only DOM is explained and Form elements.
Events handling using element properties and event listeners is explained too.
A quick review on Cookies and referrer is briefed too
This lecture includes:
1. JavaScript DOM basics
2. Document object (frequently used properties and methods)
3. Element Object (frequently used properties and methods)
4. Node Object (frequently used properties and methods)
5. Location Object (frequently used properties and methods)
6. Window object (frequently used properties and methods)
Con la versione 7 di Drupal è stato introdotto il concetto di Entity, poi evoluto con la versione 8, utilizzato come base di buona parte degli elementi core (nodi, tassonomie, utenti, ...), ma - soprattutto - è stata data la possibilità di costruire entity custom. L'utilizzo di queste apre le possibilità di personalizzazione dello strumento ad un livello superiore velocizzando notevolmente lo sviluppo.
Verranno mostrate le potenzialità nell'uso delle Entity custom e le integrazioni possibili.
Drupal Entities - Emerging Patterns of UsageRonald Ashri
Entities are a powerful architectural approach and tool introduced in Drupal 7 - in this presentation I explain what they are and how they can be used with references to examples of how entities are used already.
SenchaCon 2016: Handle Real-World Data with Confidence - Fredric Berling Sencha
To connect real model data to a view model, mess around with it, validate it, and then save it back to the server is crucial for any modern application. I will help you understand how some of the key features of the Sencha Ext JS classes work together to handle many of the real world challenges. We will take a closer look at the classes and configs that help us consume and handle the more advanced data structures. I will explain how they are connected and how you can tweak them to your needs. The focus will be on view models, data models, data sessions, proxies, stores, and associations, and how they all come together in a real world application.
There are many ways we can structure components. We want components to be reusable, but only to the degree that is reasonable. We want to build small components that can be used to build bigger concepts. Ideally, we want to build loosely coupled & highly cohesive components, so our system is easier to maintain and grow. In React components props can be treated like function arguments and that’s exactly the case for functional stateless components. How we define props in a component, defines how a component can be reused.
There are many ways we can structure components. We want components to be reusable, but only to the degree that is reasonable. We want to build small components that can be used to build bigger concepts. Ideally, we want to build loosely coupled & highly cohesive components, so our system is easier to maintain and grow. In React components props can be treated like function arguments and that’s exactly the case for functional stateless components. How we define props in a component, defines how a component can be reused.
Type safe embedded domain-specific languagesArthur Xavier
Language is everything; it governs our lives: from our thought processes, our communication abilities and our understanding of the world, all the way up to law, politics, logic and programming. All of these domains of human experience are governed by different languages that talk to each other, and so should be your code. Haskell provides all the means necessary—and many more—to easily and safely use embedded small languages that are tailored to specific needs and business domains.
In this series of lectures and workshops, we will explore the whats, whys and hows of embedded domain-specific languages in Haskell, and how language oriented programing can bring type-safety, composability and simplicity to the development of complex applications.
Explains DOM and Events. HTML-Only DOM is explained and Form elements.
Events handling using element properties and event listeners is explained too.
A quick review on Cookies and referrer is briefed too
This lecture includes:
1. JavaScript DOM basics
2. Document object (frequently used properties and methods)
3. Element Object (frequently used properties and methods)
4. Node Object (frequently used properties and methods)
5. Location Object (frequently used properties and methods)
6. Window object (frequently used properties and methods)
Con la versione 7 di Drupal è stato introdotto il concetto di Entity, poi evoluto con la versione 8, utilizzato come base di buona parte degli elementi core (nodi, tassonomie, utenti, ...), ma - soprattutto - è stata data la possibilità di costruire entity custom. L'utilizzo di queste apre le possibilità di personalizzazione dello strumento ad un livello superiore velocizzando notevolmente lo sviluppo.
Verranno mostrate le potenzialità nell'uso delle Entity custom e le integrazioni possibili.
Drupal Entities - Emerging Patterns of UsageRonald Ashri
Entities are a powerful architectural approach and tool introduced in Drupal 7 - in this presentation I explain what they are and how they can be used with references to examples of how entities are used already.
SenchaCon 2016: Handle Real-World Data with Confidence - Fredric Berling Sencha
To connect real model data to a view model, mess around with it, validate it, and then save it back to the server is crucial for any modern application. I will help you understand how some of the key features of the Sencha Ext JS classes work together to handle many of the real world challenges. We will take a closer look at the classes and configs that help us consume and handle the more advanced data structures. I will explain how they are connected and how you can tweak them to your needs. The focus will be on view models, data models, data sessions, proxies, stores, and associations, and how they all come together in a real world application.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
GQL CheatSheet 1.1
1. CREATE [ABSTRACT] TYPE Identifier [EXTENDS Identifier] [ATTRIBUTES(AttrIdentifier Integer, UnsignedInteger, Double, String, Boolean, DateTime, BackwardEdge, List<Primitive-
[=DefaultValue])] [BACKWARDEDGES(BackwardEdge [,BackwardEdge])] [UNIQUE(Identifier Datatype>, Set<Userdefined-Datatype>
[,Identifier])] [MANDATORY(Identifier [,Identifier])] [INDICES(IndexOptOnCreateType)]
COUNT | AVG | MIN | MAX | SUM
CREATE TYPES [[ABSTRACT] bulk_type_list_member] [,[ABSTRACT]bulk_type_list_member]]
CONCAT | TOUPPER | MAXWEIGHT | SUBSTRING | TOP | CURRENTDATE
ALTER TYPE Identifier ADD ATTRIBUTES(attr_definition [,attr_definition])|
ALTER TYPE Identifier DROP ATTRIBUTES (Identifier [,Identifier]) |
ALTER TYPE Identifier ADD BACKWARDEDGES (BackwardEdge [,BackwardEdge]) | Comments within lines start with /* and end with */
ALTER TYPE Identifier DROP BACKWARDEDGES (Identifier [,Identifier]) |
ALTER TYPE Identifier RENAME ATTRIBUTE Identifier TO Identifier |
ALTER TYPE Identifier RENAME TO Identifier | DESCRIBE INDICES | DESCRIBE INDEX Identifier [edition] |
ALTER TYPE Identifier RENAME BACKWARDEDGE Identifier TO Identifier | DESCRIBE EDGES | DESCRIBE EDGE Identifier |
ALTER TYPE Identifier UNIQUE (Identifier [,Identifier]) | DESCRIBE FUNCTIONS | DESCRIBE FUNCTION Identifier |
ALTER TYPE Identifier DROP UNIQUE DESCRIBE AGGREGATES | DESCRIBE AGGREGATE Identifier |
DESCRIBE SETTINGS [ON TYPE TypeIdentifier | ON ATTRIBUTE attr_definition | ON DB | ON
SESSION] | DESCRIBE SETTING Identifier [ON TYPE TypeIdentifier | ON ATTRIBUTE attr_definition
DROP TYPE Identifier | ON DB | ON SESSION] |
DESCRIBE TYPES | DESCRIBE TYPE TypeIdentifier
TRUNCATE Identifier
SETTING DB SettingOperation (= SET ("SettingName"=value [,"SettingName"=value]) | GET <sones version="1.0">
("SettingName" [,"SettingName"]) | REMOVE ("SettingName" [,"SettingName"]) <GraphDB version="1.0">
CREATE INDEX identifier [EDITION identifier] ON identifier (index_attribute_list) SETTING SESSION SettingOperation | SETTING TYPE Identifier SettingOperation |
[INDEXTYPE Identifier] <queryresult version="1.0">
SETTING ATTRIBUTE Identifier SettingOperation
SettingName = (DEPTH, SETREADONLY, TYPE, UUID, SHOWREVISION, SELECTTIMEOUT)
<query>FROM UserProfile u SELECT *</query>
<result>Successful</result>
REBUILD INDICES <duration resolution="ms">1</duration>
REBUILD INDICES TypeIdentifier [,TypeIdentifier] DUMP [{GDDL|GDML|ALL}] [AS {GQL,CSV}] <warnings />
<errors />
FROM Identifier DROP INDEX IndexIdentifier [EDITION EditionIdentifier]
FROM Identifier alias [,Identifier Alias] SELECT * | selection_list
<results>
[WHERE where_condition] [GROUP BY group_expr] [ORDER BY order_expr] [OFFSET offset_expr] <DBObject>
[LIMIT limit_expr] [DEPTH depth_expr] <attribute name="Username" type="String">User1</attribute>
INSERT INTO Identifier VALUES (AttrAssign [,AttrAssign]) [WHERE where_condition]
<attribute name="Age" type="Int64">25</attribute>
AttrAssign = [idNode=Value]|[idNode={REF(..),REFUUID(..),SETOF(..),LISTOF(..),SETOFUUIDS </DBObject>
(..)} </results>
</queryresult>
INSERTORUPDATE Identifier VALUES (AttrAssign [,AttrAssign]) [WHERE where_condition] </GraphDB>
„describe type“ command (URL encoded) </sones>
INSERTORREPLACE Identifier VALUES (AttrAssign [,AttrAssign]) [WHERE where_condition]
GET /gql?describe%20types HTTP/1.1
UPDATE Identifier SET (update_attr_element [,update_attr_element]) [WHERE
Host: databaseserver.domain Server-Hostname {
where_condition]
Accept: application/json; utf-8 "query": "FROM User u SELECT *",
"result": "Successful",
REPLACE Identifier VALUES (AttrAssign [,AttrAssign]) WHERE where_condition "warnings": [],
"errors": [],
application/json application/xml text/plain text/html
FROM Identifier DELETE [id] [WHERE where_condition]
"results":
[{
"Username": "User1",
BEGIN [DISTRIBUTED] | [LONG-RUNNING] | [DISTRIBUTED LONG-RUNNING] TRANSACTION [ISOLATION "Age": "25"
GET /Logfile
= {Full | Read | Write}] [Name=transaction_name] [TIMESTAMPE=transaction_timestamp]
}],
"Duration": ["1","ms"]
COMMIT TRANSACTION [Name=transaction_name] [ASYNC] }
ROLLBACK TRANSACTION [Name=transaction_name] [ASYNC]
2. CREATE TYPE INSERT INTO
UserProfile ATTRIBUTES (String Username, Integer Age, SET<UserProfile> Friends) UserProfile VALUES (Name = "User1", Age = 25)
BACKWARDEDGES (UserProfile.Friends FriendOf) INSERT INTO
UNIQUE (Username) UserProfile VALUES (Name = "User2", Age = 22, Friends = SETOF(Name = "User1"))
MANDATORY (Username) INSERT INTO
CREATE TYPE UserProfile VALUES (Name = "User3" Father = REF(Name = "User1"), Enemies = SETOF(Name = "User2"))
SecondUserProfile EXTENDS UserProfile ATTRIBUTES (SET<UserProfile> Enemies) INSERT INTO
CREATE TYPE
UserProfile VALUES (Name = "User4", WeightedFriends = SETOF(Name = "User1":(1.2)))
ThirdUserProfile EXTENDS UserProfile ATTRIBUTES (LIST<String> Hobbies)
INSERT INTO
ThirdUserProfile VALUES (Name = "User5", Hobbies = LISTOF("Books","Music"))
INSERT INTO
CREATE TYPES UserProfile VALUES (Name = "UndefinedAttributeUser", Weight = 70.1) /* Undefined Attribute */
Tag ATTRIBUTES (String Name) BACKWARDEDGES (Website.Tags TaggedSite) INDICES (Name)
Website ATTRIBUTES (String Name, String URL, SET<Tag> Tags) INDICES (Name)
FROM UserProfile U SELECT U.Friends.Friends.Name WHERE U.Name = "User1"
FROM UserProfile U SELECT U.Name WHERE U.Friends.Friends.Name = "User1"
ALTER TYPE
FROM UserProfile U SELECT U.Friends.Count()
UserProfile ADD ATTRIBUTES (SET<UserProfile> Enemies, UserProfile Father)
ALTER TYPE
UserProfile ADD BACKWARDEDGES (UserProfile.Enemies EnemyOf)
ALTER TYPE
UserProfile ADD ATTRIBUTES (SET<WEIGHTED(Double, DEFAULT = 1.5, SORTED = DESC) FROM UserProfile U
<UserProfile>> WeightedFriends ) DESCRIBE TYPES SELECT U.Name.CONCAT("-> Age:", U.Age) AS "Name"
DESCRIBE TYPE UserProfile FROM UserProfile U
DESCRIBE SETTING Depth ON TYPE UserProfile SELECT U.Name, CURRENTDATE()
DESCRIBE SETTING Depth ON ATTRIBUTE UserProfile.Friends FROM UserProfile U
DROP TYPE SecondUserProfile DESCRIBE SETTINGS ON DB SELECT U.WeightedFriends.MAXWEIGHT()
DESCRIBE INDEX Tag.Name FROM UserProfile U
DESCRIBE FUNCTION CONCAT SELECT U.Name.SUBSTRING(2,3)
FROM UserProfile U
FROM UserProfile DROP INDEX IDX_Name SELECT U.Friends.Path(S.Name = "User1", 10, 10, "true", "false")
WHERE U.Name = "User2" DEPTH 1
SETTING TYPE User SET („DEPTH“=2)
CREATE INDEX
IDX_Name ON UserProfile(Name) INDEXTYPE Hashtable FROM UserProfile U
SELECT AVG(U.Age)
UPDATE FROM UserProfile U
UserProfile SET (Friends += SETOF(Name="User2", Name="User4") SELECT AVG(U.Age), U.Name
TRUNCATE UserProfile WHERE Name = "User3" GROUP BY U.Name
OFFSET 10
LIMIT 10
INSERTORUPDATE REPLACE
UserProfile VALUES (Name = "User1", Age = 40) WHERE Name = "User1" UserProfile VALUES (Name = "User1", Age = 50)
INSERTORUPDATE WHERE Name= "User1-new"
UserProfile VALUES (Name = "User5") WHERE Name = "User5"
FROM UserProfile DELETE WHERE Name = "User1"
INSERTORREPLACE
UserProfile VALUES (Name = "User1-new", Age = 50) WHERE Name = "User1"