Merge branch 'main' into patch-3

Author: sourabhbagrecha

README.md

@@ -1,19 +1,3 @@
-# Docusaurus Template Workshop
+# SQL to MongoDB Query API
 
-This is a template to __create new Lab documentation sites__. Contains info on how to use Docusaurus and is a good starting point.
-
-### Installation, use, how to build, etc.
-
-Everything is covered in the Lab itself: https://mongodb-developer.github.io/docusaurus-workshop/
-
-## Contributing
-
-As `main` is protected, submit a pull request to be reviewed.
-
-## Docusaurus
-
-This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator. It's available on https://mongodb-developer.github.io/docusaurus-workshop/.
-
-### Disclaimer
-
-Use at your own risk; not a supported MongoDB product
+Workshop Docs hosted at: https://sql-to-query-api-lab.github.io/sql-to-query-api-lab/docs/category/prerequisites

docs/20-prerequisites/20-prerequisite.mdx

@@ -6,7 +6,7 @@ description: Setting up your MongoDB Atlas account, importing Library data
 
 To follow along, you'll need to complete the first two labs of the MongoDB for RDBMS professionals. Which will help you in getting:
 
-- MongoDB Atlas Cluster
-- Test data. In this case, this is book, author, and review data for a library management system.
+- A free MongoDB Atlas Cluster
+- Sample data
 
-👐 To get both, open the [intro lab](https://mongodb-developer.github.io/intro-lab/docs/intro) and follow it (only takes 10-15 mins) to get your database ready. Return here when finished!
+To get both, open the [intro lab](https://mongodb-developer.github.io/intro-lab/docs/intro) and follow it (only takes 10-15 mins) to get your database ready. Return here when finished!

docs/30-quick-start.mdx

@@ -8,8 +8,26 @@ To use work through the exercises, we need to install the official MongoDB GUI.
 
 ## Connect Compass to your Atlas cluster
 
-- Insert Add connection page of Compass
+### 1. Click on the "Add connection" button on the home page
 
-## Select the library database
+![](/img/add-connection-compass.png)
 
-- Insert databases list
+### 2. Paste your connection string after updating your password and click on the "Save and Connect" button
+
+![](/img/enter-connection-uri-compass.png)
+
+### 3. Select the library database
+
+![](/img/select-db-collection-compass.png)
+
+### 4. Click on the "Open MongoDB shell" button
+
+![](/img/open-shell-compass.png)
+
+### 5. Switch to the library database in the shell
+
+Once the shell is loaded, execute: `use library` to ensure you are in the correct database.
+
+![](/img/use-library-compass.png)
+
+That's it for the setup, let's get our hands dirty!

docs/40-CRUD/1-WHERE.mdx

@@ -115,7 +115,7 @@ Now, translate the following into a MongoDB Query.
   <summary>Answer</summary>
   <div>
     ```js
-      db.books.find({ genre: "Science", pages: {$gt: 300} });
+      db.books.find({ genres: "Science", pages: {$gt: 300} });
     ```
   </div>
 </details>

docs/40-CRUD/_category_.json

@@ -1,5 +1,5 @@
 {
-  "label": "👐 CRUD operations",
+  "label": "👐 CRUD Operations",
   "position": 40,
   "link": {
     "type": "generated-index",

docs/50-aggregation/3-sort-limit.mdx

@@ -77,7 +77,7 @@ SELECT * FROM books ORDER BY timestamp DESC LIMIT 5;
     ```js
       db.books.aggregate([
         {
-          $match: { year: {$lt: 2010}}
+          $match: { year: {$gt: 2010}}
         },
         {
           $project: {

docs/50-aggregation/4-group.mdx

@@ -91,52 +91,59 @@ db.books.aggregate([
 
 ---
 
-## 👐 Example 3: Find the Average Book Rating of all books
+## 👐 Example 3: Find the total number of pages published every year.
 
 ### **MongoDB Query**
 
 ```js
-db.reviews.aggregate([
-  { $group: { _id: "$bookId", avgRating: { $avg: "$rating" } } },
+db.books.aggregate([
+  {
+    $group: {
+      _id: "$year",
+      totalPages: { $sum: "$pages" },
+    },
+  },
 ]);
 ```
 
 ### Equivalent SQL Query
 
 ```sql
-SELECT bookId, AVG(rating) AS avgRating
-FROM reviews
-GROUP BY bookId;
+SELECT year, SUM(rating) AS totalPages
+FROM books
+GROUP BY year;
 ```
 
 ### Sample Output
 
 ```json
 [
-  { "_id": "1885865171", "avgRating": 4.2 },
-  { "_id": "0738701688", "avgRating": 4.33 },
-  { "_id": "0747545448", "avgRating": 5 }
+  { "_id": 1955, "totalPages": 664 },
+  { "_id": 1952, "totalPages": 416 },
+  { "_id": 1899, "totalPages": 128 }
+  ...
 ]
 ```
 
 ---
 
 ## 👐 Challenge
 
-### 👐 1. Find the total number of pages published every year.
+### 👐 1. Find the Average Book Rating of all books
 
 <details>
   <summary>Answer</summary>
     ```js
-    db.books.aggregate([
+    db.reviews.aggregate([
       {
         $group: {
-          _id: "$year",
-          totalPages: { $sum: "$pages" }
+          _id: "$bookId",
+          avgRating: { $avg: "$rating" }
         }
       },
     ]);
     ```
+
 </details>
 
 ### 👐 2. Find users with the most number of reviews. Hint: Use the `name` field in the reviews collection.

docs/50-aggregation/5-JOIN.mdx

@@ -47,14 +47,6 @@ db.authors.aggregate([
 ]);
 ```
 
-### **Equivalent SQL Query**
-
-```sql
-SELECT books.*, authors.*
-FROM authors
-LEFT JOIN books ON authors._id = books.author_id;
-```
-
 :::info
 The result in MongoDB will have an array (`authorDetails`) instead of flat columns.
 :::

docs/50-aggregation/7-CREATE-VIEW.mdx

@@ -1,4 +1,4 @@
-# 👐 $merge
+# 🦸 $merge
 
 In MongoDB, the **$merge** stage allows you to **write the results of an aggregation pipeline into a new or existing collection**. This is similar to the concept of "INSERT INTO ... SELECT" or "MERGE INTO" in SQL databases.
 

docs/summary.mdx

@@ -4,12 +4,10 @@ sidebar_position: 100
 
 # 🎯 Summary
 
-Congratulations! Following this tutorial, you have successfully:
+Congratulations! Following this tutorial, you have successfully learned:
 
-- TBD
-- TBD
-- TBD
-- TBD
-- TBD
+- How to query collections in MongoDB
+- How to insert, update and delete documents in MongoDB
+- How to write aggregation pipelines in MongoDB
 
 Visit the [MongoDB Developer Center](https://mongodb.com/developer/?utm_campaign=devrel&utm_source=workshop&utm_medium=cta&utm_content=sql_to_query_api&utm_term=sourabh_bagrecha) for more useful information and tutorials.