Parse JSON keys to insert records into PostgreSQL Database using Mule Studio

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In this article, we will look into as how to parse JSON keys to insert records into PostgreSQL Database using Mule Studio

 Download source code for Parse JSON keys to insert records into PostgreSQL Database using Mule Studio


Suppose we have a JSON file whose structure looks as under

  { "empid": "001",
    "empname": "S. Kumar",
    "empage": "30",
    "empdesignation": "Software Engineer"
  { "empid": "002",
    "empname": "Viki Singh Yadav",
    "empage": "25",
    "empdesignation": "Software Engineer"
  { "empid": "003",
    "empname": "Shakalu Ambalika",
    "empage": "40",
    "empdesignation": "DBA"
  { "empid": "004",
    "empname": "Sinchandra Sukumar",
    "empage": "29",
    "empdesignation": "Business Analyst"

The intension is to parse all these keys and store the values into columns into a PostgreSQL table.The final output should be

What we need to have for doing the experiment?

We need

  1. PostgreSQL
  2. PostgreSQL JDBC driver
  3. Download Mule ESB
  4. A database to be created in PostgreSQL say "TestDB" where atleast one Table say "tblEmployee" should be created as under

    		CREATE TABLE "tblEmployee"
    		  empid text,
    		  empname text,
    		  empage text,
    		  empdesignation text
  5. A Json File say "Employee.json" with the content shown above should be stored somewhere.

  6. Everything should be up and running properly

Let us start the experiment

First create a Mule Project.Then import the Postgre SQL JDBC Driver properly.Next create a Datasource.After that, create the Connector

All these steps are covered in my previous Mule articles and henceforth are not repeated here

The flow

The Configuration File

<jdbc:postgresql-data-source name="PostgreSQL_Data_Source" user="postgres" password="niladri_123" url="jdbc:postgresql://localhost:5432/TestDB" transactionIsolation="UNSPECIFIED" doc:name="PostgreSQL Data Source"/>
<jdbc:connector name="PostgreSQL_JDBC_Connector" dataSource-ref="PostgreSQL_Data_Source" validateConnections="true" queryTimeout="-1" pollingFrequency="0" doc:name="Database">
	<jdbc:query key="InsertRecord" value="INSERT INTO "tblEmployee"(empid,empname,empage,empdesignation) VALUES (#[message.payload.empid],#[message.payload.empname],#[message.payload.empage],#[message.payload.empdesignation])"/>

<flow name="ParseJsonKeysToStoreValuesFlow1" doc:name="ParseJsonKeysToStoreValuesFlow1">

	<!-- Input file source -->
	<file:inbound-endpoint path="C:\Users\niladri.biswas\Desktop\input" responseTimeout="10000" doc:name="File"/>
	<!-- Transform the JSON data into a java.util.List  -->
	<json:json-to-object-transformer returnClass="java.util.List" doc:name="JSON to List" />
	<!--  split it into several java.util.Maps -->
	<collection-splitter doc:name="Collection Splitter"/>
	<!-- Write the values to database -->
	<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="InsertRecord" queryTimeout="-1" connector-ref="PostgreSQL_JDBC_Connector" doc:name="Destination"/>

After reading the source data, we are transforming the JSON data into a Java.Util.List, then split it into several Java.Util.Maps items.Finally we are writing it to the database.

Now, let us run the application and we will find the result has been inserted properly into the database.


Hope you have enjoyed the tutorial.More to come soon.Zipped file for the experiment is attached herewith.

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About the Author

Full Name: Niladri Biswas
Member Level: Platinum
Member Status: Member
Member Since: 10/25/2010 11:04:24 AM
Country: India
Best Regards, Niladri Biswas
Technical Lead at HCL Technologies

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