Cara menggunakan is mongodb faster?

The massive volumes data generated by modern interconnected systems and devices has spawned a new kind of database known as NoSQL. Perhaps the best known of this new breed of non-relational database is MongoDB. Unlike traditional relational databases (RDBMSes), MongoDB does not contain tables. Instead, it stores data as collections of documents.

In the blog, we learned how to create a new database and collection using the Navicat for MongoDB database management & design tool. In today's follow-up, we'll learn about MongoDB documents and add some to our collection.

While MongoDB shares some of the same terms as those of traditional RDBMSes, others are unique to NoSQL databases. To help clarify, here's a table that compares RDBMS terminology to that of MongoDB:

MongoDB stores data as documents. BSON is a binary representation of JSON documents, though it contains additional data types, in addition to JSON. MongoDB documents are composed of field:value pairs and have the following structure:

{
   field1: value1,
   field2: value2,
   field3: value3,
   ...
   fieldN: valueN
}

The value of a field can be any valid BSON data type, including other documents, arrays, and arrays of documents. Here's and example of a document that contains information about an American city. Notice the different data types:

// 1
{
    "_id": "01005",
    "city": "BARRE",
    "loc": [
        -72.108354,
        42.409698
    ],
    "pop": NumberInt("4546"),
    "state": "MA"
}

// 2
{
    "_id": "01012",
    "city": "CHESTERFIELD",
    "loc": [
        -72.833309,
        42.38167
    ],
    "pop": NumberInt("177"),
    "state": "MA"
}

// 3
//etc...

In the last blog, we created a database named "my_mongo_db" and collection named "my_first_collection". Now, we'll add some data to the collection in the form of documents.

• The first step is to open the collection that we wish to add the document to. Select the "my_first_collection" object in the Object pane and click the Open Collection button on the Objects toolbar:
  
  
  
  That will open the collection in a new tab.


• You'll find the Document operations at the bottom of the tab. Click the Plus sign to add a document:
  
  


• In the Add Document dialog, enter the following fields, which are similar to those of the document samples above:

  {
      "_id": "01005",
      "city": "BARRE",
      "loc": [
          -72.108354,
          42.409698
      ],
      "pop": 4546,
      "state": "MA"
  }
  

  
  
  


• It's a good idea to validate the document before saving it. You can do that via the Validate button. The above data should produce a success message. Should errors be encountered, an error message will be presented with the first error in the document. The error will also include the line and column number in order to easily identify the error in the document:
  
  


• Click the Add button to close the dialog and save the new document. You should now see it in the Collection tab:
  
  

You can add more documents by following the same process as above:

Now that we've learned how to add documents to our collection, in the next blog, we'll cover how to view, delete, and edit documents in Navicat for MongoDB.

Cover the basics of querying, importing/exporting data, and working with the mongo shell and the MongoDB aggregation pipeline.

Covered in this MongoDB tutorial:

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Introduction to MongoDB and Studio 3T Introduction to MongoDB Atlas Connecting to MongoDB The MongoDB Basics: Databases, Collections and Documents Using SQL in MongoDB Aggregation Importing and Exporting MongoDB Data Running MongoDB Queries on the mongo Shell

MongoDB 201: Querying MongoDB Data

Build upon the MongoDB basics

Total length: 3 hours

Learn how to perform CRUD operations, write find() and aggregation queries, filter elements from arrays, use SQL to query MongoDB, and create views from collections.

Covered in this MongoDB tutorial:

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Performing CRUD (Create, Read, Update, Delete) Operations Building MongoDB find() Queries The MongoDB find() Method Working with the MongoDB Aggregation Pipeline The MongoDB Aggregate Method Querying Arrays Using MongoDB $elemMatch Querying Embedded Documents in MongoDB Arrays Querying MongoDB with SQL SELECT Statements Working with MongoDB Views

MongoDB 301: Aggregation

Learn how to put MongoDB Aggregation to work

Total length: 3 hours

Learn how to create advanced Aggregations, work with arrays in the Aggregation pipeline, lookup data in other collections, use Studio 3T to debug your Aggregation. Also covered, using Reschema to restructure your data and using Aggregation for reporting with spreadsheets and Atlas Charts.

Covered in this MongoDB tutorial:

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Building a Basic Aggregation Introducing the Aggregation Editor Working with Arrays in the Aggregation Pipeline Adding Lookup Data to the Aggregation Pipeline Working with Reschema for MongoDB Reporting with Studio 3T Aggregations

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Academy 3T is the most practical learning resource for MongoDB. Our MongoDB tutorials and courses are designed to get students up and running fast, regardless of one’s skill level or experience.

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