Objective and Prerequisites
Objective: This segment introduces implementation of how to insert the JSON (JavaScript Object Notation) file documents into a collection in MongoDB using Java.
Prerequisites: MongoDB setup is installed and running in the background. Also, the project has been developed and executed in Eclipse IDE (Integrated Development Environment).
To run the following program, you need to download the MongoDB Java driver jar file Download MongoDB Java driver. Once downloaded, you can import the library by right-clicking on your project in Eclipse -> Properties -> Java Build Path -> Libraries -> Add External JARs...
Start MongoDB (running mongo.exe)
MongoDB shell version v4.2.3 connecting to: mongodb://127.0.0.1:27017/ MongoDB server version: 4.2.3 > show dbs DB 0.000GB admin 0.000GB config 0.000GB local 0.000GB > use DB switched to db DB > db.getCollectionNames() [ "holders" ] > db.holders.find().pretty() >
Java MongoDB to insert the JSON file documents into a collection
In the following program, database and collection automatically get created. If database and collection already exist in MongoDB, then new documents will get inserted into an existing collection. Furthermore, we will be inserting documents into a holders collection using the JSON file, and once all the documents inserted, we will retrieve those using find() method.
kw.json
KW.java
Output
Documents inserted successfully Document{{_id=5e7ca9bff19e77642089963b, account_no=2562348989, name=James Moore, city=Phoenix, DOB=Sun May 26 05:30:00 IST 1985, bank=Barclays, amount=5000, loan=[Document{{Personal=5660, Home=15000}}]}} Document{{_id=5e7ca9c0f19e77642089963c, account_no=2562348990, name=Donald Taylor, city=Irvine, DOB=Mon Aug 20 05:30:00 IST 1990, bank=Citi, amount=7000, loan=[Document{{Home=10000, Car=20000}}]}} Document{{_id=5e7ca9c0f19e77642089963d, account_no=2562348991, name=Edward Parkar, city=Irvine, DOB=Sat Jan 29 05:30:00 IST 1994, bank=ICICI, amount=95000, loan=[Document{{Personal=25000, Home=450000, Car=10000}}]}} Document{{_id=5e7ca9c0f19e77642089963e, account_no=2562348992, name=Ryan Bakshi, city=Mumbai, DOB=Thu Jan 14 05:30:00 IST 1982, bank=Citi, amount=50000, loan=[Document{{Personal=null, Home=null, Car=null}}]}}
MongoDB Instance
> db.holders.find().pretty() { "_id" : ObjectId("5e7ca9bff19e77642089963b"), "account_no" : NumberLong("2562348989"), "name" : "James Moore", "city" : "Phoenix", "DOB" : ISODate("1985-05-26T00:00:00Z"), "bank" : "Barclays", "amount" : 5000, "loan" : [ { "Personal" : 5660, "Home" : 15000 } ] } { "_id" : ObjectId("5e7ca9c0f19e77642089963c"), "account_no" : NumberLong("2562348990"), "name" : "Donald Taylor", "city" : "Irvine", "DOB" : ISODate("1990-08-20T00:00:00Z"), "bank" : "Citi", "amount" : 7000, "loan" : [ { "Home" : 10000, "Car" : 20000 } ] } { "_id" : ObjectId("5e7ca9c0f19e77642089963d"), "account_no" : NumberLong("2562348991"), "name" : "Edward Parkar", "city" : "Irvine", "DOB" : ISODate("1994-01-29T00:00:00Z"), "bank" : "ICICI", "amount" : 95000, "loan" : [ { "Personal" : 25000, "Home" : 450000, "Car" : 10000 } ] } { "_id" : ObjectId("5e7ca9c0f19e77642089963e"), "account_no" : NumberLong("2562348992"), "name" : "Ryan Bakshi", "city" : "Mumbai", "DOB" : ISODate("1982-01-14T00:00:00Z"), "bank" : "Citi", "amount" : 50000, "loan" : [ { "Personal" : null, "Home" : null, "Car" : null } ] }
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