Powering an API with GraphQL, Golang, and NoSQL

Oct 15, 2018Download as PPTX, PDF0 likes418 views

This document discusses powering an API with GraphQL, Golang, and NoSQL databases. It outlines some limitations of RESTful APIs and how GraphQL provides more flexible client-server payloads and queries with fewer endpoints. GraphQL queries are processed in Go and integrated with the Couchbase NoSQL database, which allows flexible JSON schema and powerful N1QL queries. In summary, GraphQL and Couchbase provide an API with flexible responses, reduced endpoints, and powerful querying of JSON data stored in Couchbase.

Powering an API with GraphQL,
Golang, and NoSQL
Nic Raboy
Senior Developer Evangelist at HERE Technologies

RESTful API with Multiple Related Endpoints

RESTful API
Nothing’s wrong with RESTful APIs, but they could be better!

RESTful API
• Too many API endpoints to remember
• Too many API endpoints to maintain
• Too much data to process
• Too large of data payloads

The Benefits of GraphQL
graphql.org
graphql.org

GraphQL
• Server to client payloads are flexible
• Client to server queries are flexible
• Minimal API endpoints to remember

Couchbase: The Complete Database Solution
Infographic provided by Couchbase

22
Couchbase Lite Overview
• Cross-platform support for all major operating systems and platforms
• Built native from the ground up
• 500kb for most platforms
• 256-bit AES full database encryption
Infographic provided by Couchbase

23
Couchbase Server Overview
• Scale easily to thousands of nodes
• Consistent high performance that supports millions of concurrent users
• Flexible JSON data model
• 24x365 always-on availability
Infographic provided by Couchbase

24
Couchbase Sync Gateway Overview
• Synchronize data between Couchbase Lite and Couchbase Server
• REST, Stream, Batch, and Event APIs
• Pluggable authentication
• Fine grained user and role based access control
• Elastically scalable in real-time
Infographic provided by Couchbase

The Power of the Flexible JSON Schema
• Ability to store data in
multiple ways
• De-normalized single
document, as opposed
to normalizing data
across multiple table
• Dynamic Schema to
add new values when
needed
Infographic provided by Couchbase

Powering an API with GraphQL, Golang, and NoSQL

What is N1QL?
• Non-first (N1) Normal Form Query Language (QL)
• It is based on ANSI 92 SQL
• Its query engine is optimized for modern, highly parallel multi-core execution
• SQL-like Query Language
• Expressive, familiar, and feature-rich language for querying, transforming, and manipulating JSON data
• N1QL extends SQL to handle data that is:
• Nested: Contains nested objects, arrays
• Heterogeneous: Schema-optional, non-uniform
• Distributed: Partitioned across a cluster

N1QL (Expressive)
• Access to every part of JSON document
• Scalar & Aggregate functions
• Subqueries in the FROM clause
• Aggregation on arrays
Expressive, familiar, and feature-rich language for querying, transforming, and manipulating JSON data

N1QL (Familiar)
• SELECT * FROM bucket WHERE …
• INSERT single & multiple documents
• UPDATE any part of JSON document & use complex filter
• DELETE
• MERGE two sets of documents using traditional MERGE statement
• EXPLAIN to understand the query plan
• EXPLAIN SELECT * FROM bucket WHERE …
Expressive, familiar, and feature-rich language for querying, transforming, and manipulating JSON data

N1QL (Feature-Rich)
• Access to every part of JSON document
• Functions (Date, Pattern, Array, Conditional, etc)
• https://developer.couchbase.com/documentation/server/current/n1ql/n1ql-language-reference/functions.html
• JOIN, NEST, UNNEST
• Covering Index
• Prepared Statements
• USE KEYS, LIKE
Expressive, familiar, and feature-rich language for querying, transforming, and manipulating JSON data

Summary
• GraphQL limits the response payload
• GraphQL offers flexibility in API responses
• GraphQL cuts down the API endpoints
• GraphQL is not a substitute for backend management
• Couchbase is flexible with JSON
• Couchbase is powerful with N1QL queries

Getting Help
• GraphQL - graphql.org
• Couchbase - couchbase.com
• Twitter - @nraboy
• Blog - thepolyglotdeveloper.com

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Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025. Key Takeaways: Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction. Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data. Monitor Performance Against Limits: See threshold limits for each product level. Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds. Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.

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Not So Common Memory Leaks in Java WebinarTier1 app

This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.

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