In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Graphs are everywhere! Distributed graph computing with Spark GraphXAndrea Iacono
These are the slide for the talk given at Codemotion Milan on november 2015. The source code shown is available at https://github.com/andreaiacono/TalkGraphX .
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Graphs are everywhere! Distributed graph computing with Spark GraphXAndrea Iacono
These are the slide for the talk given at Codemotion Milan on november 2015. The source code shown is available at https://github.com/andreaiacono/TalkGraphX .
DGraph: Introduction To Basics & Quick Start W/RatelKnoldus Inc.
The presentation introduces you to DGraph and explains about the data types, indexes, edges, facets and type of mutation using RDF Triples or JSON. Also, take through the GQL+/- functions, filters, connectives, reverse edges, facets and complex graph queries for DGraph using GQL+/-.
Introduction to DGraph - A Graph DatabaseKnoldus Inc.
The slides introduce you to the world of Graph databases and explain what they are all about. Moving forward, our focus is changed to one of the newest tools for graph databases, i.e., DGraph.
JSONB Tricks: Operators, Indexes, and When (Not) to Use It | PostgresOpen 201...Citus Data
When do you use jsonb, and when don’t you? How do you make it fast? What operators are available, and what can they do? How will this change? These are all very good questions, but jsonb support in Postgres moves so fast that it’s hard to keep up.
In this talk, you will get details on these topics, complete with practical examples and real-world stories:
- When to use jsonb, what it’s good for, and when to not use it
- Operators and how to use them effectively
- Indexing, operator support for indexes, and the tradeoffs involved
- Postgres 12 improvements and new features
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
GraphQL and its schema as a universal layer for database accessConnected Data World
GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.
As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.
A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.
Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.
Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.
PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on.
Also, users have requirements towards the quality of the data they manage. We want to express constraints for both in a standard way throughout PoolParty components. SKOS-based PoolParty Thesaurus project data requires both consistency and quality.
Best Practices for Building Open Source Data LayersIBMCompose
The IBM Compose Platform is a managed platform for open source databases-as-a-service, serving a suite of comprehensive databases for seamless integration. With no one-size-fits-all approach for building a Virtual Reality Data Layer, IBM Compose lets you build your data, your way.
Watch the webinar at: http://ibm.biz/BdrNVR
Applying graph analytics on data stored in relational databases can provide tremendous value in many application domains. We discuss the importance of leveraging these analyses, and the challenges in enabling them. We present a tool, called GraphGen, that allows users to visually explore, and rapidly analyze (using NetworkX) different graph structures present in their databases.
Build GraphQL APIs with Graphene (Big Mountain Data & Dev 2019)Ayla Khan
Learn about the GraphQL query language, how it compares to REST, and how to build GraphQL APIs in Python using the Graphene library and Flask. Code examples provided on GitHub.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
GraphQL with .NET Core Microservices.pdfKnoldus Inc.
In this Webinar, will talk on GraphQL with .NET, that provides a modern and flexible approach to building APIs. It empowers developers to create efficient and tailored APIs that meet the specific needs of their applications and clients.
DGraph: Introduction To Basics & Quick Start W/RatelKnoldus Inc.
The presentation introduces you to DGraph and explains about the data types, indexes, edges, facets and type of mutation using RDF Triples or JSON. Also, take through the GQL+/- functions, filters, connectives, reverse edges, facets and complex graph queries for DGraph using GQL+/-.
Introduction to DGraph - A Graph DatabaseKnoldus Inc.
The slides introduce you to the world of Graph databases and explain what they are all about. Moving forward, our focus is changed to one of the newest tools for graph databases, i.e., DGraph.
JSONB Tricks: Operators, Indexes, and When (Not) to Use It | PostgresOpen 201...Citus Data
When do you use jsonb, and when don’t you? How do you make it fast? What operators are available, and what can they do? How will this change? These are all very good questions, but jsonb support in Postgres moves so fast that it’s hard to keep up.
In this talk, you will get details on these topics, complete with practical examples and real-world stories:
- When to use jsonb, what it’s good for, and when to not use it
- Operators and how to use them effectively
- Indexing, operator support for indexes, and the tradeoffs involved
- Postgres 12 improvements and new features
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
GraphQL and its schema as a universal layer for database accessConnected Data World
GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.
As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.
A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.
Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.
Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.
PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on.
Also, users have requirements towards the quality of the data they manage. We want to express constraints for both in a standard way throughout PoolParty components. SKOS-based PoolParty Thesaurus project data requires both consistency and quality.
Best Practices for Building Open Source Data LayersIBMCompose
The IBM Compose Platform is a managed platform for open source databases-as-a-service, serving a suite of comprehensive databases for seamless integration. With no one-size-fits-all approach for building a Virtual Reality Data Layer, IBM Compose lets you build your data, your way.
Watch the webinar at: http://ibm.biz/BdrNVR
Applying graph analytics on data stored in relational databases can provide tremendous value in many application domains. We discuss the importance of leveraging these analyses, and the challenges in enabling them. We present a tool, called GraphGen, that allows users to visually explore, and rapidly analyze (using NetworkX) different graph structures present in their databases.
Build GraphQL APIs with Graphene (Big Mountain Data & Dev 2019)Ayla Khan
Learn about the GraphQL query language, how it compares to REST, and how to build GraphQL APIs in Python using the Graphene library and Flask. Code examples provided on GitHub.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
GraphQL with .NET Core Microservices.pdfKnoldus Inc.
In this Webinar, will talk on GraphQL with .NET, that provides a modern and flexible approach to building APIs. It empowers developers to create efficient and tailored APIs that meet the specific needs of their applications and clients.
Discover how GraphQL can help you building and evolve your business APIs.
GraphQL is a query language for APIs developed internally by Facebook. It allows the developers to ask for exactly what they need and nothing more, making it easier to evolve APIs over time and create powerful developer tools around an API.
Presented by Helder Vasconcelos and Luis Gonçalves on 21st May 2019 @ Reactor Innovation Hub.
Powered by https://taikai.network
GraphQL is a syntax that describes how to ask for data, and is generally used to load data from a server to a client. GraphQL has three main characteristics:
It lets the client specify exactly what data it needs.
It makes it easier to aggregate data from multiple sources.
It uses a type system to describe data.
Simplify Access to Data from Pivotal GemFire Using the GraphQL (G2QL) ExtensionVMware Tanzu
GemFire GraphQL (G2QL) is an extension that adds a new query language for your Apache Geode™ or Pivotal GemFire clusters allowing developers to build web and mobile applications using any standard GraphQL libraries. G2QL provides an out-of-the-box experience by defining GraphQL schema through introspection. It can be deployed to any GemFire cluster and serves a GraphQL endpoint from an embedded jetty server, just like GemFire’s REST endpoint.
We will be demoing G2QL using a sample application that can read and write data to GemFire and share data between applications built using GemFire client APIs, showing you:
- How to use GraphQL to query and mutate data in GemFire
- How to use open-source GraphQL library to build web and mobile applications using GemFire
- How to use GraphQL to deal with object graphs
- How G2QL can simplify their overall architecture
Presenters : Sai Boorlagadda, Staff Software Engineer & Jagdish Mirani, Pivotal
GraphQL is an emerging API standard that provides a more flexible and alternative approach for data intensive operations. It is particularly good for querying and retrieving data in optimized forms that make applications more efficient and optimal. While GraphQL focuses on what it does best, we still need to ensure that our GraphQL services are exposed in a secure, controlled, monitored, and sometimes even in a monetized environment. This is where the inclusion of an API gateway that understands GraphQL queries, mutations, and subscriptions can add significant value.
This deck explores the following:
- Introduction to GraphQL
- Exposing GraphQL services as managed APIs
- Authentication
- Authorization
- Rate limiting
- Invoking GraphQL APIs exposed via WSO2 API Manager
Watch the webinar on-demand here - https://wso2.com/library/webinars/2019/11/exposing-graphqls-as-managed-apis/
Getting Started with Spring for GraphQLVMware Tanzu
WaffleCorp is a major provider of breakfast products available direct to consumer or through our strategic partnerships. The current implementation of the e-commerce platform is a monolithic Spring MVC application that serves data through a collection of REST APIs.
Currently, the only provider of the REST API is our e-commerce web application. We've been tasked with opening up our APIs to our new iOS and Android apps, partner microservices, and IoT applications.
The issue we ran into is that a REST API is not a one-size-fits-all approach. We need a more flexible solution to meet the requirements of all of our client applications. This is a perfect use case for the speed and flexibility of GraphQL.
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.
In this session, you’ll learn what GraphQL is and why you should consider it in your next project. You’ll learn how to use GraphQL in your Spring Boot applications by leveraging the Spring for GraphQL project. By the end of this session, you’ll understand how to stand up a GraphQL endpoint and request the data you need, and nothing more.
How to provide a GraphQL API - I want it that wayQAware GmbH
Codineers Rosenheim Meetup, März 2023, Stefan Schmöller (Senior Software Engineer @QAware GmbH
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
Having your clients being able to dynamically define the structure of required data, which is then returned by the server.
Over-fetching and under-fetching are history
Graph ql vs rest api - Seven Peaks Software (Node.JS Meetup 18 nov 2021)Seven Peaks Speaks
Georgii, our Senior full-stack developer, has over 12 years of experience working on both sides of web applications on the front-end and back-end.
Georgii was walk you through on GraphQL VS Rest API on our last Node.JS Meetup. There are several ways to create backend APIs. REST is the most common choice but it has some limitations. It’s where GraphQL comes as an alternative to REST.
For more info about Seven Peaks Software:
https://lnkd.in/g2jMsDy
MongoDB World 2019: Building a GraphQL API with MongoDB, Prisma, & TypeScriptMongoDB
Originally developed by Facebook, GraphQL is taking over the industry and replaces REST as an API standard. Learn how it works and build your own GraphQL API with Prisma, MongoDB & TypeScript. Prisma auto-generates a MonogDB client to connect your GraphQL resolvers with MongoDB in a type-safe way.
Let's start GraphQL: structure, behavior, and architectureAndrii Gakhov
In this talk, I describe the path to start with GraphQL in a company that has experience with Python stack and REST API. We go from the definition of GraphQL, via behavioral aspects and data management, to the most common architectural questions.
GraphQL Advanced Concepts A Comprehensive Guide.docxssuser5583681
Welcome to our comprehensive guide on GraphQL Advanced concepts. In this article, we will delve into the intricacies of GraphQL and explore advanced techniques and concepts that will enhance your GraphQL development skills. Whether you are a beginner looking to expand your knowledge or an experienced developer seeking to master GraphQL, this guide will provide you with valuable insights and practical examples to help you level up your GraphQL game.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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/
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.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
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.
2. Topics
1. Introduction About GraphQl
2. API vs GraphQl
3. Magento2 module
4. GraphQl Tool
5. Type System
6. The Schema Definition Language(SDF)
7. Subscriptions
8. Module structure
9. Resolver
3. About GraphQl
● GraphQl is an open source server side technology which was developed by facebook to optimize
RESTFUL API calls.
● It is an execution engine and a data query language.
● GraphQl structures data in the form of a graph with its powerful query syntax for traversing,
retrieving and modifying data.
● The request made by a client to the GraphQl server is called a query.
● GraphQl is a query language for APIs - not a databases.
4. REST API vs GraphQl
GraphQl
● Single endpoint
● Client decide how data is returned
● Schema based
● Performance fast
● Development speed rapid
● Operations- Query,Mutations,subscriptions
● Specific data with a single API calls
● Community growing
REST API
● Lots of end point
● Server side decide how data is returned
● There is no schema for the data
● Multiple network calls take up more time
● Development speed slower
● Operations- CRUD
● Fixed data with multiple API calls
● Community large
GraphQl REST API
5. Magento2 module
There are many core module used GraphQl query language in Magento 2.3 version. Below is the list of
GraphQl Modules.
GraphQl is the parent Module for all the GraphQl related module, provides the framework for the
application to expose GraphQl compliant web services. We can check it under
folder_name/vendor/Magento/GraphQl path.
● BundleGraphQl
● CatalogGraphQl
● CatalogInventoryGraphQl
● CatalogUrlRewriteGraphQl
● CmsGraphQl
● CmsUrlRewriteGraphQl
● ConfigurableProductGraphQl
● CustomerGraphQl
● DownloadableGraphQl
● EavGraphQl
● GroupedProductGraphQl
● QuoteGraphQl
● StoreGraphQl
● SwatchesGraphQl
● TaxGraphQl
● ThemeGraphQl
● UrlRewriteGraphQl
● WeeeGraphQl
6. GraphQl Tool
● GraphiQL is an in-browser tool for write and testing GraphQl queries.
● For Google Chrome, ChromeiQL extension is supported, GraphQl Query. Others are Altair GraphQl
addon used in both Firefox as well as Chrome.
7. Type System
GraphQl is a strongly typed language. Type System defines various data types that can be used in a
GraphQl application. The type system helps to define the schema, which is a contract between client and
server. The commonly used GraphQl data types are as follows −
S.No. Type Description
1 Scalar Stores a single value
2 Object Shows what kind of object can be fetched
3 Query Entry point type to other specific types
4 Mutation Entry point for data manipulation
5 Enum Useful in a situation where we need the user to pick from a prescribed list of options.
8. Scalar Type
Scalar types are primitive data types that can store only a single value. The default scalar types that
GraphQl offers are −
● Int − Signed 32-bit Integer
● Float − Signed double precision floating point value
● String − UTF - 8-character sequence
● Boolean − True or false
● ID − A unique identifier, often used as a unique identifier to fetch an object or as the key for a
cache.
The syntax for defining a scalar type is as follows − field: data_type
type user{
Id: ID! # the “!” means required
firstname: string
lastname: string
email: string
}
9. Object Type
● The object type is the most common type used in a schema and represents a group of fields.
● The most basic components of a GraphQl schema are object types, which just represent a kind of
object you can fetch from your service, and what fields it has.
--Define an object type--
type Student {
stud_id:ID
firstname: String
age: Int
score:Float
}
--Defining a GraphQL schema--
type Query
{
stud_details:[Student]
}
10. Query Type
● A GraphQl query is used to fetch data. It is like requesting a resource in REST-based APIs. To keep
it simple, the Query type is the request sent from a client application to the GraphQl server.
● GraphQl uses the Schema Definition Language (SDL) to define a Query. Query type is one of the
many root-level types in GraphQl.
type Query {
human(id: ID!): Human
}
type Human {
name: String
appearsIn: [Episode]
starships: [Starship]
}
enum Episode {
X
Y
}
type Starship {
name: String
}
{
human(id: 1002) {
name
appearsIn
starships {
name
}
}
}
11. Mutation
● Mutations are operations sent to the server to create, update
or delete data.
● Mutation is one of the root-level data-types in GraphQl.
● Mutation queries modify data in the data store and returns a
value.
● A mutation contains the following elements:
● The keyword mutation
● An operation name for your local implementation.
● The mutation name
● The input object or attributes. Most mutations require an
input object that contains data or individual attributes for
the Magento server to process.
● The output object, which specifies which data the
mutation returns.
mutation {
createCustomer(
input: {
firstname: "XYZ"
lastname: "XYZ"
email: "xyz@example.com"
password: "xyzxyz@123"
is_subscribed: true
}
) {
customer {
firstname
lastname
email
is_subscribed
}
}
}
keyword
12. Enum
An Enum is similar to a scalar type. Enums are useful in a situation where the value for a field must be
from a prescribed list of options.
The syntax for defining an Enum type is −
type enum_name{
value1
value2
}
type Days_of_Week{
SUNDAY
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY
}
13. Schema Definition Language
GraphQL has its own type system that’s used to define the schema of an API. The syntax for writing
schemas is called Schema definition language (SDL).
type Person {
name: String!
age: Int!
}
type Person {
name: String!
age: Int!
posts: [Post!]!
}
type Post {
title: String!
}
type Post {
title: String!
author: Person!
}
Adding a relation
Defining simple types
14. Subscriptions
● In addition to fetching data using queries and modifying data using mutations, the GraphQL
supports a third operation type, called subscriptions.
● GraphQL subscriptions are a way to push data from the server to the clients that select to listen to real
time messages from the server.
● Subscriptions are similar to queries in that they specify a set of fields to be delivered to the client, but
instead of immediately returning a single answer, a result is sent every time a particular event happens
on the server.
type Subscription {
commentAdded(fullName: String!): Comment
}
15. Module structure
A GraphQL module’s schema.graphqls file defines how the attributes defined in the module can be used in GraphQL
queries and mutations.
The <module_name>/etc/schema.graphqls file:
● Defines the structure of queries and mutations.
● Determines which attributes can be used for input and output in GraphQL queries and mutations. Requests and
responses contain separate lists of valid attributes.
● Points to the resolvers that verify and process the input data and response.
● Serves as the source for displaying the schema in a GraphQL browser.
● Defines which objects are cached.
16. Resolver
● A resolver performs GraphQL request processing.
● It is responsible for:
– constructing a query
– fetching data
– performing any calculations
– transforming the fetched and calculated data into a GraphQL array format
– finally, it returns the query results for rendering