Database Connector in Mule | Insert Data in MYSQL


Database Connector in Mule | Insert Data in MYSQL

One of the most common requirements in the integration realm is to be able to work with databases. Being able to perform CRUD operations in relational database tables is perhaps the most common features across programming languages and perhaps the most utilized when it comes to physically persisting data.

MuleSoft provides the Database Connector which utilizes JDBC (Java Database Connector) to enable APIs to perform database operations. Although database operations are enabled by the MuleSoft Database Connector, it relies on the JDBC drivers provided by each database provider.

MuleSoft supports MySQL, Oracle and Derby out of the box, but it also provides a Generic Driver for every other kind of relational database engine. Personally, I have been able to use it with Netezza and SQLServer. It is worth mentioning that although MuleSoft supports these databases out of the box, the developer is still required to provide the JDBC package (jar file) so that MuleSoft is able to communicate with the target database.

Here we are performing insert operation in MySQL database.

Http Method : POST

Below is the insert flow where we used 'Byte Array to String' & 'JSON to Object' for converting incoming request from byte form to database object.

Here in HTTP Configuration rest of the settings are same as previous except path is set to : /insertinfo

In DB Connector, choose operation as Insert and write parameterized query as shown below

save it by ctrl+s

We have used set payload component to display a user friendly message as : Data is saved successfully.

Finally, run the project and once it is deployed please select POST method in postman and hit URL :


Output :

Data is saved successfully

Below is XML code for above flow :

<?xml version="1.0" encoding="UTF-8"?>

<mule xmlns:json="" xmlns:db="" xmlns:http="" xmlns="" xmlns:doc=""
    <db:mysql-config name="MySQL_Configuration" host="localhost" port="3306" user="root" password="********" database="demodata" doc:name="MySQL Configuration"/>
    <http:listener-config name="HTTP_Listener_Configuration" host="" port="8085" basePath="/api" doc:name="HTTP Listener Configuration"/>

    <flow name="testdbconnectorFlow1">

        <http:listener config-ref="HTTP_Listener_Configuration" path="/saveinfo" doc:name="HTTP"/>
        <byte-array-to-string-transformer doc:name="Byte Array to String"/>
        <json:json-to-object-transformer returnClass="java.util.Map" doc:name="JSON to Object"/>
        <db:insert config-ref="MySQL_Configuration" doc:name="Database">
            <db:parameterized-query><![CDATA[insert into info (ID,NAME,AGE) values (#[],#[],#[payload.age]);]]></db:parameterized-query>
        <set-payload value="Data is saved successfully" doc:name="Set Payload"/>

© 2020

Share on :

Mule 4:

XML to JSON in mule 4 Web service consumer VM Validation in Mule 4 Until Successful
Sub flow Set Variable & Remove Variable Set Transaction ID Scatter Gather Round Robin
Consume Restful Service CRUD in Mule 4 Parse Template Object to JSON Load Static Resource
JSON to XML Invoke Idempotent Filter ForEach Flat file to JSON
Fixwidth to JSON First Successful File Execute Error Handling
Email Dynamic Evaluate Custom Business Event CSV to JSON Copybook to JSON
Choice Router Async RabbitMQ

Mule 3:

Database Connector Async CXF Attachement XSLT
Mongo DB Cache scope Custom Business Event Gzip Compress Expression
SMTP For Each Expression Javascript Filter Reference
Salesforce Message Enricher Groovy Parse Template Idempotent
VM Poll Invoke Ruby Message
Webservice consumer Python Transformer reference Message Property Not
Collection Aggregator First Sucessful Catch Exception Strategy Reference Exception Strategy Or
Choice Message Chunk Aggregator Choice Exception Strategy Global Exception Strategy Schema Validation
Custom Aggregator Scatter Gather Custom Exception Strategy Batch Processing MEL
M Unit RAML Map Operator API Mocking Dataweave