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A Shot of Espresso for Your Enterprise Apps

Espresso Logic

Fastest & Easiest Way to Create Backend Services across all data sources

Espresso Logicpresents

"How to integrate MongoDB and SQL data with a single REST API"

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Heterogeneous world of data Use Cases for MongoDB & SQL SQL vs Mongo concepts REST as an enterprise standard Building a secure REST Integration Server Creating Custom API endpoints Blending MongoDB with SQL Q&A

Agenda

The Heterogeneous world of data

• SQL• JSON• EDI• CSV• XML• SOAP• ODATA

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SQL vs MongoDB Concepts

SQL Terms/concepts MongoDB Terms/concepts

DATABASE DATABASE

TABLE COLLECTION

ROW DOCUMENT OR BSON DOCUMENT

COLUMN FIELD

INDEX INDEX

TABLE JOINS EMBEDDED DOCUMENTS AND LINKING

PRIMARY KEY PRIMARY KEY

TRANSACTIONS BEGIN, COMMIT/ROLLBACK

NA

SCHEMA NA

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Language Syntax is different

SQL Terms, Function, Concepts MongoDB Aggregation Operators

WHERE $match

GROUP BY $group

HAVING $match

SELECT $project

ORDER BY $sort

LIMIT $limit

SUM $sum

COUNT $count

JOIN No direct support

Use Cases for MongoDB & SQL

• MongoDB – Storing archival and log

data– Product and Image catalogs– Content Management – BI - Big Data– New Mobile Apps (high

volume reads)

• SQL Database– ACID Transactions– Updates to multiple tables

in single transaction– Financial and Accounting

Use Case for MongoDB and SQL

SQL and MongoDB– Financial and Sales transactions with archived history– Account and Payment Processing– Shopping Carts and Order Entry

REST as an Enterprise standard

http://eval.espressologic.com/rest/sample/demo/v1/

Endpoints: /customer/{id}/employee/{id}/customerWithOrders/product/{id}

{

“@metadata": {"checksum": "A:6c253d56830572ea",

}, "name": "Alpha and Sons", "balance": 0, "credit_limit": 9000 }

Need to build a REST Server

Apache TomcatHibernate (JPA)Spring MVCJDBC and Driver for SQLJersey/Jackson annotationsLogging Library (log4J)Web HostingServlet APIIdentity Security servicesJavaScript runtime engine

Building a secure REST Integration Server

metadata

PropertiesUser & roles definitions, SQL and NoSQL Server connectionsDeclarative (Reactive) RulesRole-based Access ControlSchema ORM ModelSecurity tokensREST API definitionsEvent CodeHard W

ay

The Easy Way (and the fastest)

SQL

“

name": "Alpha and Sons", "balance": 4484, "MongoOrders": [ { "_id": { "$oid": "53d64c59a32268822c09e994" }, "order_number": 1, "amount_total": 1079, "salesrep_id": 2, "items": [ { "_id": { "$oid": "53d64c38a32268822c09e746" }, "lineitem_id": 1, "product_number": 4, "amount": 600 },

Instant REST API

Espresso Logic Architecture

Complete On-premise VM Appliance or Cloud Managed Service

Step 1 – Connect Existing SQL Database

• SQL Server• Oracle• Azure SQL• MySQL• PostgreSQL• NuoDB• Generic JDBC

SQL

Instant RESTful Endpoints• Tables• Views• Stored Procedures

Step 2- Creating Custom API endpoints

1. Name a new resource

2. Specify the SQL table

(optional)Add sub-documents

Step 3- Blending MongoDB with SQL

Point and Click1. Select Parent SQL2. Add Sub

Document3. Enter MongoDB

Server, database, and collection

4. Specify ‘join’

Test in REST Lab

Step 4 – Customize your API

• Alias Attributes (rename)

• Change format• Select/Project

columns to include• Add new virtual

columns (Row Event)

• Filter/Sort • Limit/Offset

(paging)

Test REST Lab to Blended API

What’s Next

• Adding Authentication to your new REST Server• Setting up users and roles• Assigning security access Roles (Read, Insert,

Update, Delete)• Column and Row level security• Business Logic (Reactive Programming)• Event Model (JavaScript)

Summary

Thank YouQuestions????

http://www.espressologic.com Support: tyler@espressologic.comSales: ron@espressologic.com