Powering an API with GraphQL, Golang, and NoSQL

•Download as PPTX, PDF•

0 likes•414 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

What's hot

Riak at shareaholic

freerobby

Robby Grossman presented on Shareaholic's transition from MongoDB to Riak. Shareaholic needed a database with linear scalability, full-text search, and flexible indexing to support their growing product. They evaluated HBase, Cassandra, and Riak. Riak was chosen for its operational simplicity, linear scalability, integrated search, and secondary indices. Shareaholic migrated their data from MongoDB to Riak without downtime by writing to both databases simultaneously and verifying data integrity before decommissioning MongoDB. Riak has succeeded for Shareaholic's MapReduce queries, full text search, and publisher analytics use cases. Benchmarking showed vertical scaling on EC2 provides better latency than horizontal scaling.

Elk meetup boston - logz.io

tomerlevy9

This document summarizes an ELK meetup that took place on March 2nd 2015. It discusses using ELK for log processing, in public clouds like AWS, and activities like kite surfing. The document also provides information on Wind Analytics and their next steps, monitoring large AWS environments, implementing ELK with the right architecture, and Logz.io which provides an ELK as a service solution and insights. It includes demos of Logz.io's architecture and log processing. The meetup concluded with information on job opportunities at Logz.io.

Scaling ELK Stack - DevOpsDays Singapore

Angad Singh

This document summarizes a presentation about using the ELK stack to process logs at scale. It discusses using Logstash for log ingestion and filtering, Elasticsearch for indexing and searching logs, and Kibana for visualizing logs. The document provides details on using Logstash forwarders to ship logs to Logstash from application containers, scaling Logstash and Elasticsearch horizontally, hardware recommendations for Elasticsearch, and configuration techniques for optimizing Elasticsearch performance and reliability.

Taking a look under the hood of Apache Flink's relational APIs.

Fabian Hueske

Apache Flink features two APIs which are based on relational algebra, a SQL interface and the so-called Table API, which is a LINQ-style API available for Scala and Java. Relational APIs are interesting because they are easy to use and queries can be automatically optimized and translated into efficient runtime code. Flink offers both APIs for streaming and batch data sources. This talk takes a look under the hood of Flink’s relational APIs. The presentation shows the unified architecture to handle streaming and batch queries and explain how Flink translates queries of both APIs into the same representation, leverages Apache Calcite to optimize them, and generates runtime code for efficient execution. Finally, the slides discuss potential improvements and give an outlook for future extensions and features.

Big data pipeline with scala by Rohit Rai, Tuplejump - presented at Pune Scal...

Thoughtworks

The document discusses Tuplejump, a data engineering startup with a vision to simplify data engineering. It summarizes Tuplejump's big data pipeline platform which collects, transforms, predicts, stores, explores and visualizes data using various tools like Hydra, Spark, Cassandra, MinerBot, Shark, UberCube and Pissaro. It advocates using Scala as the primary language due to its object oriented and functional capabilities. It also discusses advantages of Tuplejump's platform and how tools like Akka, Spark, Play, SBT, ScalaTest, Shapeless and Scalaz are leveraged.

Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)

Matt Fuller

Hadoop ecosystem framework n hadoop in live environment

Delhi/NCR HUG

The document provides an overview of the Hadoop ecosystem and how several large companies such as Google, Yahoo, Facebook, and others use Hadoop in production. It discusses the key components of Hadoop including HDFS, MapReduce, HBase, Pig, Hive, Zookeeper and others. It also summarizes some of the large-scale usage of Hadoop at these companies for applications such as web indexing, analytics, search, recommendations, and processing massive amounts of data.

Solr cloud the 'search first' nosql database extended deep dive

lucenerevolution

Presented by Mark Miller, Software Engineer, Cloudera As the NoSQL ecosystem looks to integrate great search, great search is naturally beginning to expose many NoSQL features. Will these Goliath's collide? Or will they remain specialized while intermingling – two sides of the same coin. Come learn about where SolrCloud fits into the NoSQL landscape. What can it do? What will it do? And how will the big data, NoSQL, Search ecosystem evolve. If you are interested in Big Data, NoSQL, distributed systems, CAP theorem and other hype filled terms, than this talk may be for you.

Presto Strata Hadoop SJ 2016 short talk

kbajda

Presto is an open source distributed SQL query engine originally developed by Facebook. It allows querying of data across multiple data sources including HDFS, S3, MySQL, PostgreSQL and more. Presto has seen significant growth and adoption since its initial release, with over 100 releases and contributions from over 100 developers. It is used in production by Facebook and Netflix on very large datasets and clusters. Teradata has joined the Presto community and aims to enhance enterprise features and provide commercial support through its certified Presto distribution.

Presto at Twitter

Bill Graham

Interactive Data Analysis in Spark Streaming

datamantra

This document discusses strategies for building interactive streaming applications in Spark Streaming. It describes using Zookeeper as a dynamic configuration source to allow modifying a Spark Streaming application's behavior at runtime. The key points are: - Zookeeper can be used to track configuration changes and trigger Spark Streaming context restarts through its watch mechanism and Curator library. - This allows building interactive applications that can adapt to configuration updates without needing to restart the whole streaming job. - Examples are provided of using Curator caches like node and path caches to monitor Zookeeper for changes and restart Spark Streaming contexts in response.

Apache Pulsar Community-Jennifer

StreamNative

This document provides an introduction to joining the Apache Pulsar community. It discusses the history and growth of Apache Pulsar, including over 180 contributors, 30 committers, and 24 members of the PMC. It outlines ways to get involved, such as through mailing lists, GitHub, Slack, and WeChat. The document encourages contributions to code, documentation, blogs, translations, meetups, and conferences to help build the Apache Pulsar community.

ELK at LinkedIn - Kafka, scaling, lessons learned

Tin Le

Bleeding Edge Databases

Lynn Langit

Getting started with Riak in the Cloud

Ines Sombra

Getting started with Riak in the Cloud involves provisioning a Riak cluster on Engine Yard and optimizing it for performance. Key steps include choosing instance types like m1.large or m1.xlarge that are EBS-optimized, having at least 5 nodes, setting the ring size to 256, disabling swap, using the Bitcask backend, enabling kernel optimizations, and monitoring and backing up the cluster. Benchmarks show best performance from high I/O instance types like hi1.4xlarge that use SSDs rather than EBS storage.

Elk meetup

Asaf Yigal

HBaseCon2017 Apache HBase at Didi

HBaseCon

In DiDi Chuxing Company, which is China’s most popular ride-sharing company. we use HBase to serve when we have a bigdata problem. We run three clusters which serve different business needs. We backported the Region Grouping feature back to our internal HBase version so we could isolate the different use cases. We built the Didi HBase Service platform which is popular amongst engineers at our company. It includes a workflow and project management function as well as a user monitoring view. Internally we recommend users use Phoenix to simplify access.even more,we used row timestamp;multidimensional table schema to slove muti dimension query problems C++, Go, Python, and PHP clients get to HBase via thrift2 proxies and QueryServer. We run many important buisness applications out of our HBase cluster such as ETA/GPS/History Order/API metrics monitoring/ and Traffic in the Cloud. If you are interested in any aspects listed above, please come to our talk. We would like to share our experiences with you.

Apache spark

Sameer Mahajan

Apache Spark is an open-source cluster computing framework originally developed at UC Berkeley in 2009. It provides functionality for batch processing, streaming, and machine learning. Spark improves on Hadoop by allowing data to be stored in-memory across jobs, enabling faster multi-step data analysis processes. It supports programming in Scala, Java, Python and R. Spark can run on a single machine or on a cluster with thousands of servers, and integrates with systems like HDFS, Cassandra and Kafka.

Case Study: Stream Processing on AWS using Kappa Architecture

Joey Bolduc-Gilbert

Ruby to Scala in 9 weeks

jutley

This document summarizes the migration of a location services application from Ruby to Scala at Whitepages. It discusses key areas of interest over the software development lifecycle. For prototyping, Ruby was faster due to its dynamic typing. However, for production, Scala was better suited due to its static typing catching errors, built-in support for concurrency using Futures, and better performance in terms of throughput, latency and hardware utilization. Both languages are object-oriented, readable and composable, but Scala integrates better with the JVM and has advantages for maintainability and integration.

What's hot (20)

Riak at shareaholic

Elk meetup boston - logz.io

Scaling ELK Stack - DevOpsDays Singapore

Taking a look under the hood of Apache Flink's relational APIs.

Big data pipeline with scala by Rohit Rai, Tuplejump - presented at Pune Scal...

Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)

Hadoop ecosystem framework n hadoop in live environment

Solr cloud the 'search first' nosql database extended deep dive

Presto Strata Hadoop SJ 2016 short talk

Presto at Twitter

Interactive Data Analysis in Spark Streaming

Apache Pulsar Community-Jennifer

ELK at LinkedIn - Kafka, scaling, lessons learned

Bleeding Edge Databases

Getting started with Riak in the Cloud

Elk meetup

HBaseCon2017 Apache HBase at Didi

Apache spark

Case Study: Stream Processing on AWS using Kappa Architecture

Ruby to Scala in 9 weeks

Similar to Powering an API with GraphQL, Golang, and NoSQL

Developing Applications with Go and NoSQL

Nic Raboy

This document discusses developing applications with Go and NoSQL databases. It covers creating a web application with Go, using Go multiplexers like Gorilla Mux, using the Couchbase NoSQL database including Couchbase Lite, Sync Gateway and Couchbase Server, installing and configuring Couchbase, using the Couchbase Go SDK, querying documents with N1QL, and importing data with Go. It provides the Couchbase developer resources and GitHub code for further reference.

Introducing NoSQL and MongoDB to complement Relational Databases (AMIS SIG 14...

Lucas Jellema

From 0 to syncing

Philipp Fehre

Before joining Couchbase Phil has been a consultant on many different node.js and NoSQL projects working with many different languages and databases. By helping clients solve problems regarding scalability as well building completely new APIs he gained a broad knowledge of the available platforms and their tradeoffs in the big and small. He's a Developer Evangelist for Couchbase where he works to educate developers on the different parts of using a NoSQL database from mobile to big iron servers.

Deep dive to ElasticSearch - معرفی ابزار جستجوی الاستیکی

Ehsan Asgarian

در این اسلاید به مباحث زیر می پردازیم: مقدمات پایگاه داده های غیر اس.کیو.ال، مبانی جستجوگرها سپس معرفی ابزار جستجوی الاستیکی، کاربردها، معماری کلی، مقایسه با ابزارهای مشابه افزودن تحلیلگر متن و در نهایت لینک آن با دات نت ا

Open Source SQL Databases

Emanuel Calvo

This document discusses open source relational databases. It begins by introducing the presenter and topic, which is the current state of components in open source SQL databases. It then covers key components such as the storage engine, query planner, protocols, transaction model, and others. For each component, it discusses the approaches taken by different databases like PostgreSQL, MySQL, CockroachDB, and ClickHouse. It also addresses topics like horizontal scalability and replication strategies. Overall, the document provides a detailed overview and comparison of the architectural components and capabilities across major open source relational database management systems.

Impala Architecture presentation

hadooparchbook

PHP, the GraphQL ecosystem and GraphQLite

JEAN-GUILLAUME DUJARDIN

Creating a GraphQL API is more and more common for PHP developers. The task can seem complex but there are a lot of tools to help. In this talk given at AFUP Paris PHP Meetup, I'm presenting GraphQL and why it is important. Then, I'm having a look at the existing libraries in PHP. Finally, I'm diving in the details of GraphQLite; a library that creates a GraphQL schema by analyzing your PHP code.

GraphQL in Ruby on Rails - basics

Visuality

Scala and Spark are Ideal for Big Data

John Nestor

Scala and Spark are ideal for big data applications. Scala is a functional programming language that runs on the Java Virtual Machine and has strong typing, concise syntax, and supports both object-oriented and functional programming. Spark is an open source cluster computing framework that provides fast, in-memory processing of large datasets across clusters of machines using its Resilient Distributed Datasets (RDDs). Using Scala with Spark provides benefits like leveraging Spark's Scala API and leveraging functional features of Scala that are a natural fit with Spark's programming model.

Big data stores

Kumaran Ramanujam

High-level languages for Big Data Analytics (Presentation)

Jose Luis Lopez Pino

Introduction to couchbase

Dipti Borkar

This document provides an introduction and overview of Couchbase Server, a NoSQL document database. It describes Couchbase Server as the leading open source project focused on distributed database technology. It outlines key features such as easy scalability, always-on availability, flexible data modeling using JSON documents, and core features including clustering, replication, indexing and querying. The document also provides examples of basic write, read and update operations on a single node and cluster, adding nodes, handling node failures, indexing and querying capabilities, and cross data center replication.

Azure Cosmos DB: Features, Practical Use and Optimization "

GlobalLogic Ukraine

This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com). This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.

Walkthrough Neo4j 1.9 & 2.0

Neo4j

This webinar covered Neo4j 1.9.1, 2.0 features and hands-on demonstrations. Key highlights included: - Neo4j 1.9.1 improvements to high availability, operations and Cypher performance. - Neo4j 2.0 introduces node labels for improved querying and indexing, transactional Cypher via REST, and a focus on using Cypher everywhere. - Hands-on sessions demonstrated migrating data to use labels, indexing, transactional HTTP endpoint, and other new 2.0 features.

Is there a SQL for NoSQL?

Arthur Keen

SPARQL is proposed as a SQL-like query language for NoSQL databases that is schema-free, accommodates different data models, uses a familiar SQL-syntax, and is an accepted standard. SPARQL represents data as RDF graphs and can run unmodified on different NoSQL systems that support it, providing interoperability and lowering the barrier to querying diverse data sources. It aims to address how organizations can process, manage and analyze growing volumes of data with fewer resources by offering a common language for querying multiple NoSQL databases.

Azure DocumentDB Overview

Andrew Liu

DocumentDB is a fast, globally distributed, multi-model NoSQL database service. It provides automatic scaling of storage and throughput, high availability across regions, flexible data models, and developer productivity with support for SQL and JavaScript queries. Customers can use DocumentDB for building scalable applications that need to handle large volumes of data across any number of regions worldwide with low latency and high availability.

Introduction to Impala

markgrover

Impala is an open source SQL query engine for Apache Hadoop that allows real-time queries on large datasets stored in HDFS and other data stores. It uses a distributed architecture where an Impala daemon runs on each node and coordinates query planning and execution across nodes. Impala allows SQL queries to be run directly against files stored in HDFS and other formats like Avro and Parquet. It aims to provide high performance for both analytical and transactional workloads through its C++ implementation and avoidance of MapReduce.

Untangling - fall2017 - week 8

Derek Jacoby

This document provides an agenda for a class on databases and asynchronous JavaScript. It includes presentations of Project 2, a review of asynchronous concepts like callbacks, promises, and async/await. It also covers differences between SQL and NoSQL databases, examples of using SQL and MongoDB, and an introduction to using a Postgres database on Bluemix. Homework involves SQL queries on a Stack Overflow database and students are notified to begin working on Project 3, which will involve a database backend and chatbot.

0bbleedingedge long-140614012258-phpapp02 lynn-langit

Data Con LA

Cool NoSQL on Azure with DocumentDB

Jan Hentschel

This document summarizes a presentation about DocumentDB on Azure. It discusses what DocumentDB is, how it works as a fully managed NoSQL database, and some key features for developers. DocumentDB allows storing and querying JSON documents, offers tunable consistency levels, and exposes APIs for common languages like .NET, Node.js, and Python. The presentation provides an overview of DocumentDB's capabilities and when it would be a good fit compared to relational databases or other document stores.

Similar to Powering an API with GraphQL, Golang, and NoSQL (20)

Developing Applications with Go and NoSQL

Introducing NoSQL and MongoDB to complement Relational Databases (AMIS SIG 14...

From 0 to syncing

Deep dive to ElasticSearch - معرفی ابزار جستجوی الاستیکی

Open Source SQL Databases

Impala Architecture presentation

PHP, the GraphQL ecosystem and GraphQLite

GraphQL in Ruby on Rails - basics

Scala and Spark are Ideal for Big Data

Big data stores

High-level languages for Big Data Analytics (Presentation)

Introduction to couchbase

Azure Cosmos DB: Features, Practical Use and Optimization "

Walkthrough Neo4j 1.9 & 2.0

Is there a SQL for NoSQL?

Azure DocumentDB Overview

Introduction to Impala

Untangling - fall2017 - week 8

0bbleedingedge long-140614012258-phpapp02 lynn-langit

Cool NoSQL on Azure with DocumentDB

More from Nic Raboy

Getting Started with MongoDB using Node.js

Nic Raboy

Marketing and Workflow Automation

Nic Raboy

Marketing is a very time consuming part of any business. You have to be where your customers and potential customers are, whether that be Twitter, Facebook, LinkedIn, Snapchat, or one of the many other services that exist. However, social media marketing is only one aspect, and the other areas are equally important and equally time consuming. This is where automation comes into play. With workflow automation, you can design a process where time consuming and repetitive tasks are extracted from your day to day activities and accomplished without your intervention. In this session we're going to explore trigger-based tooling and services that will perform actions based on trigger events. For example, when a web form is filled out [trigger], contact information is added to your email list [action], and a todo item is added to your calendar [action]. This is an example of what otherwise would have been a manual and potentially repetitive and time consuming task.

Create a Chatbot with AWS Lex, Lambda, and HERE

Nic Raboy

Developing Amazon Alexa Skills with the Go Programming Language

Nic Raboy

Static Site Generation with Hugo and Markdown

Nic Raboy

Building a Bitcoin Hardware Wallet with Golang and a Raspberry Pi Zero

Nic Raboy

Native to Hybrid and Back Again

Nic Raboy

Developing for Offline First Mobile Experiences

Nic Raboy

The document discusses developing mobile applications using Couchbase Mobile for offline-first experiences. It covers trends moving away from traditional databases towards NoSQL solutions. Couchbase Mobile uses a NoSQL document database with synchronization between mobile devices and servers. Example code is provided for creating a native Android to-do list application using Couchbase Mobile to store and sync data locally and with a server.

Quick and Easy Development with Node.js and Couchbase Server

Nic Raboy

Cross Platform Storage & Sync with Couchbase and Ionic Framework

Nic Raboy

More from Nic Raboy (10)

Getting Started with MongoDB using Node.js

Marketing and Workflow Automation

Create a Chatbot with AWS Lex, Lambda, and HERE

Developing Amazon Alexa Skills with the Go Programming Language

Static Site Generation with Hugo and Markdown

Building a Bitcoin Hardware Wallet with Golang and a Raspberry Pi Zero

Native to Hybrid and Back Again

Developing for Offline First Mobile Experiences

Quick and Easy Development with Node.js and Couchbase Server

Cross Platform Storage & Sync with Couchbase and Ionic Framework

Recently uploaded

Abortion pills in Fujairah *((+971588192166*)☎️)¥) **Effective Abortion Pills...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

IN Dubai [WHATSAPP:Only (+971588192166**)] Abortion Pills For Sale In Dubai** UAE** Mifepristone and Misoprostol Tablets Available In Dubai** UAE CONTACT DR. SINDY Whatsapp +971588192166* We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai** Sharjah** Abudhabi** Ajman** Alain** Fujairah** Ras Al Khaimah** Umm Al Quwain** UAE** Buy cytotec in Dubai +971588192166* '''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol** Cytotec” +971588192166* ' Dr.SINDY ''BUY ABORTION PILLS MIFEGEST KIT** MISOPROSTOL** CYTOTEC PILLS IN DUBAI** ABU DHABI**UAE'' Contact me now via What's App… abortion pills in dubai Mtp-Kit Prices abortion pills available in dubai/abortion pills for sale in dubai/abortion pills in uae/cytotec dubai/abortion pills in abu dhabi/abortion pills available in abu dhabi/abortion tablets in uae … abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all** Cytotec Abortion Pills are Available In Dubai / UAE** you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pills in Dubai** UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if it's beyond 6 months. Our Abu Dhabi** Ajman** Al Ain** Dubai** Fujairah** Ras Al Khaimah (RAK)** Sharjah** Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical** medical and surgical abortion methods for early through late second trimester** including the Abortion By Pill Procedure (RU 486** Mifeprex** Mifepristone** early options French Abortion Pill)** Tamoxifen** Methotrexate and Cytotec (Misoprostol). The Abu Dhabi** United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used** 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need for surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi** United Arab Emirates** uses the latest medications for medical abortions (RU-486** Mifeprex** Mifegyne** Mifepristone** early options French abortion pill)** Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi** United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our

@Call @Girls in Solapur 🤷‍♂️ XXXXXXXX 🤷‍♂️ Tanisha Sharma Best High Class S...

Mona Rathore

Dombivli @Call @Girls 🛴 9930687706 🛴 Aaradhaya Best High Class Mumbai Available

cristine510

What is OCR Technology and How to Extract Text from Any Image for Free

TwisterTools

Discover the fascinating world of Optical Character Recognition (OCR) technology with our comprehensive presentation. Learn how OCR converts various types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. Dive into the history, modern applications, and future trends of OCR technology. Get step-by-step instructions on how to extract text from any image online for free using a simple tool, along with best practices for OCR image preparation. Ideal for professionals, students, and tech enthusiasts looking to harness the power of OCR.

Cisco Live Announcements: New ThousandEyes Release Highlights - July 2024

ThousandEyes

Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform

Alluxio, Inc.

Alluxio Webinar June. 18, 2024 For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Jianjian Xie (Staff Software Engineer, Alluxio) As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly. The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB. What you will learn: - Challenges relating to the speed and costs of running Trino in the cloud - The new Trino file system cache feature overview, including the latest development status and test results - A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache - Real-world cases, including a large online payment firm and a top ridesharing company - The future roadmap of Trino file system cache and Trino-Alluxio integration

bangalore @Call @Girls 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 WhatsApp Number for Real Meet

rajesvigrag

Top 10 Tips To Get Google AdSense For Your Website

e-Definers Technology

$Development of Chatbot Using AI\ML Technologies$ $Development of Chatbot Using AI\ML Technologies$

Development of Chatbot Using AI\ML Technologies

MaisnamLuwangPibarel

A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.

Software development... for all? (keynote at ICSOFT'2024)

miso_uam

Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require. To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals). In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.

dachnug51 - HCL Domino Roadmap .pdf

DNUG e.V.

Addressing the Top 9 User Pain Points with Visual Design Elements.pptx

Sparity1

@Call @Girls in Tiruppur 🤷‍♂️ XXXXXXXX 🤷‍♂️ Tanisha Sharma Best High Class ...

Mona Rathore

@Call @Girls in Kolkata 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Best High Class Kolkata Avaulable

DiyaSharma6551

Splunk_Remote_Work_Insights_Overview.pptx

sudsdeep

₹Call ₹Girls Andheri West 09967584737 Deshi Chori Near You

shristi verma

Folding Cheat Sheet #7 - seventh in a series

Philip Schwarz

@Call @Girls in Ahmedabad 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Best High Class Ahmedabad Ava...

DiyaSharma6551

Chennai @Call @Girls 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Genuine WhatsApp Number for Real Meet

lovelykumarilk789

COMPSAC 2024 D&I Panel: Charting a Course for Equity: Strategies for Overcomi...

Hironori Washizaki

Recently uploaded (20)

Abortion pills in Fujairah *((+971588192166*)☎️)¥) **Effective Abortion Pills...

@Call @Girls in Solapur 🤷‍♂️ XXXXXXXX 🤷‍♂️ Tanisha Sharma Best High Class S...

Dombivli @Call @Girls 🛴 9930687706 🛴 Aaradhaya Best High Class Mumbai Available

What is OCR Technology and How to Extract Text from Any Image for Free

Cisco Live Announcements: New ThousandEyes Release Highlights - July 2024

Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform

bangalore @Call @Girls 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 WhatsApp Number for Real Meet

Top 10 Tips To Get Google AdSense For Your Website

$Development of Chatbot Using AI\ML Technologies$ $Development of Chatbot Using AI\ML Technologies$

Development of Chatbot Using AI\ML Technologies

Software development... for all? (keynote at ICSOFT'2024)

dachnug51 - HCL Domino Roadmap .pdf

Addressing the Top 9 User Pain Points with Visual Design Elements.pptx

@Call @Girls in Tiruppur 🤷‍♂️ XXXXXXXX 🤷‍♂️ Tanisha Sharma Best High Class ...

@Call @Girls in Kolkata 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Best High Class Kolkata Avaulable

Splunk_Remote_Work_Insights_Overview.pptx

₹Call ₹Girls Andheri West 09967584737 Deshi Chori Near You

Folding Cheat Sheet #7 - seventh in a series

@Call @Girls in Ahmedabad 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Best High Class Ahmedabad Ava...

Chennai @Call @Girls 🐱‍🐉 XXXXXXXXXX 🐱‍🐉 Genuine WhatsApp Number for Real Meet

COMPSAC 2024 D&I Panel: Charting a Course for Equity: Strategies for Overcomi...

Powering an API with GraphQL, Golang, and NoSQL

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

2. The RESTful API

3. RESTful API

4. RESTful API with Multiple Related Endpoints

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

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

7. The GraphQL API

8. The Benefits of GraphQL graphql.org graphql.org

9. GraphQL

10. GraphQL

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

12. Processing GraphQL in Go

13. GraphQL

14. GraphQL Data Model

19. GraphQL cURL Request

20. Integrating a NoSQL Database

21. Couchbase: The Complete Database Solution Infographic provided by Couchbase

22. 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. 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. 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

25. 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

26. Couchbase

27. Couchbase

28. Couchbase

30. 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

31. 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

32. 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

33. 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

34. Couchbase

35. Couchbase with Go

36. Couchbase with Go

37. Couchbase with Go

38. Couchbase with Go

39. Couchbase with Go

40. GraphQL Mutations

41. GraphQL Data Mutations

42. GraphQL Data Mutations

43. GraphQL Data Mutations

44. Closing Thoughts

45. 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

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

47. THANK YOU

Powering an API with GraphQL, Golang, and NoSQL

More Related Content

What's hot

What's hot (20)

Similar to Powering an API with GraphQL, Golang, and NoSQL

Similar to Powering an API with GraphQL, Golang, and NoSQL (20)

More from Nic Raboy

More from Nic Raboy (10)

Recently uploaded

Recently uploaded (20)

Powering an API with GraphQL, Golang, and NoSQL