MuleSoft ESB - CSV File to Database
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This document provides instructions for using Mule ESB to transfer data from a CSV file to a MySQL database. It outlines the necessary prerequisites, describes how to create a database table to store the employee data, explains the data flow process using components like File, Transformer, Splitter, and Choice, and provides an example of sample CSV records that would be inserted into the database table.
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MuleSoft ESB - CSV File to Database
- 1. MuleSoft ESB Transfer data from CSV File to Database By AKASH PRAJAPATI
- 2. Transfer data from CSV File to Database Topics : • How to work with Mule and transfer data from CSV file to database Pre-requisites : • Basic under standing of Mule ESB • JDK 1.8 or above • Anypoint Studio v 6.0.0 or above • MySQL connector • Mule Server v 3.8.0 EE or above • Create database & Schema or use existing one
- 3. Create DB Schema & Table • Create Table CREATE TABLE test.`EMP_DATA` ( `emp_id` int(11) DEFAULT NULL, `emp_first_name` varchar(50) DEFAULT NULL, `emp_last_name` varchar(50) DEFAULT NULL, `email` varchar(50) DEFAULT NULL, `dept_id` int(11) DEFAULT NULL, PRIMARY KEY (`emp_id`,`dept_id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
- 4. Process Flow
- 5. Component details • File : Define Source Path and Move to Directory with Polling frequency • Transformer ( Object to String ) : Nothing to do here, as it converts object to String internally • Splitter : Split multiples records (#[StringUtils.split(message.payload, 'nr')] ) • Expression : comma separated record (#[StringUtils.split(message.payload, ',')] ) • Choice : Validating the first row to make sure that there is no header, as expected in the CSV file. CSV File contains only related data and do not expect to have header row. • Valid condition: Invoke the Database insert flow • Default condition : Do not perform any action – Default logging. • DB Insert Flow: Each single record will be inserted into Database.
- 6. MySQL DB
- 7. CSV File Records Header Row : empId,empFirstname,empLastname,email,deptId
- 8. Records in Database : Employee Record
- 9. Thank You