Merge pull request #2984 from abinav2307/logical-query-third-pass-validation

Logical query third pass validation

Author: prmerger-automator[bot]

articles/cosmos-db/mongodb/vcore/operators/logical-query/$and.md

@@ -7,7 +7,7 @@ ms.author: suvishod
 ms.service: azure-cosmos-db
 ms.subservice: mongodb-vcore
 ms.topic: language-reference
-ms.date: 08/04/2025
+ms.date: 09/04/2025
 ---
 
 # $and
@@ -36,7 +36,7 @@ The `$and` operator performs a logical AND operation on an array of expressions
 
 ## Examples
 
-Let's understand the usage with sample json from `stores` dataset.
+Consider this sample document from the stores collection.
 
 ```json
 {
@@ -150,7 +150,7 @@ Let's understand the usage with sample json from `stores` dataset.
 
 ### Example 1: Use AND operator as logical-query
 
-The query filters for stores where the number of full-time employees is greater than 10 and part-time employees is less than 15 using the `$and` operator. It projects only the `name` and `staff` fields and limits the result to three records.
+This query filters for stores where the number of full-time employees is greater than 10 and part-time employees is less than 15 using the `$and` operator. It projects only the `name` and `staff` fields and limits the result to three records.
 
 ```javascript
 db.stores.find({
@@ -169,7 +169,7 @@ db.stores.find({
 }).limit(3)
 ```
 
-The query returns up to three stores with high full-time but limited part-time staffing.
+The first three results returned by this query are:
 
 ```json
 [
@@ -208,7 +208,7 @@ The query returns up to three stores with high full-time but limited part-time s
 
 ### Example 2: Use AND operator as boolean-expression to find stores with high sales and sufficient staff
 
-The example finds stores that have both total sales greater than 100,000 and more than 30 total staff members.
+This query finds stores that have both total sales greater than 100,000 and more than 30 total staff members.
 
 ```javascript
 db.stores.aggregate([
@@ -231,9 +231,10 @@ db.stores.aggregate([
 ])
 ```
 
-The query returns stores that meet both high sales and staffing criteria.
+The first two results returned by this query are:
 
 ```json
+[
  {
     "_id": "905d1939-e03a-413e-a9c4-221f74055aac",
     "name": "Trey Research | Home Office Depot - Lake Freeda",
@@ -246,6 +247,7 @@ The query returns stores that meet both high sales and staffing criteria.
     "totalStaff": 27,
     "meetsHighPerformanceCriteria": false
   }
+]
 ```
 
 ## Related content

articles/cosmos-db/mongodb/vcore/operators/logical-query/$nor.md

@@ -7,7 +7,7 @@ ms.author: suvishod
 ms.service: azure-cosmos-db
 ms.subservice: mongodb-vcore
 ms.topic: language-reference
-ms.date: 02/12/2025
+ms.date: 09/04/2025
 ---
 
 # $nor
@@ -274,3 +274,4 @@ One of the results returned by this query is:
 ## Related content
 
 [!INCLUDE[Related content](../includes/related-content.md)]
+

articles/cosmos-db/mongodb/vcore/operators/logical-query/$not.md

@@ -34,7 +34,7 @@ The `$not` operator performs a logical NOT operation on a specified expression a
 
 ## Examples
 
-Let's understand the usage with sample json from `stores` dataset.
+Consider this sample document from the stores collection.
 
 ```json
 {
@@ -148,7 +148,7 @@ Let's understand the usage with sample json from `stores` dataset.
 
 ### Example 1: Use NOT operation as logical-query operator
 
-The example helps to find stores where the number of full-time staff isn't equal to 5 using the `$not` operator with $eq. It returns only the `name` and `staff` fields for up to two such matching documents.
+This query retrieves stores where the number of full-time staff isn't equal to 5 using the `$not` operator with $eq. It returns only the `name` and `staff` fields for up to two such matching documents.
 
 ```javascript
  db.stores.find({
@@ -163,7 +163,7 @@ The example helps to find stores where the number of full-time staff isn't equal
  }).limit(2)
 ```
 
-The query returns up to two stores where full-time staff count differs from 5.
+The first two results returned by this query are:
 
 ```json
 [
@@ -192,7 +192,7 @@ The query returns up to two stores where full-time staff count differs from 5.
 
 ### Example 2: Use NOT operator as boolean-expression to identify stores that aren't high-volume
 
-The example finds stores that don't have high sales volume (not greater than 50,000).
+This query retrieves stores that don't have high sales volume (not greater than 50,000).
 
 ```javascript
 db.stores.aggregate([
@@ -216,9 +216,10 @@ db.stores.aggregate([
 ])
 ```
 
-The query identifies stores that aren't high-volume.
+The first two results returned by this query are:
 
 ```json
+[
  {
     "_id": "905d1939-e03a-413e-a9c4-221f74055aac",
     "name": "Trey Research | Home Office Depot - Lake Freeda",
@@ -233,8 +234,10 @@ The query identifies stores that aren't high-volume.
     "isNotHighVolume": false,
     "storeCategory": "Small/Medium Store"
   }
+]
 ```
 
 ## Related content
 
 [!INCLUDE[Related content](../includes/related-content.md)]
+

articles/cosmos-db/mongodb/vcore/operators/logical-query/$or.md

@@ -36,7 +36,7 @@ The `$or` operator performs a logical OR operation on an array of expressions an
 
 ## Examples
 
-Let's understand the usage with sample json from `stores` dataset.
+Consider this sample document from the stores collection.
 
 ```json
 {
@@ -150,7 +150,7 @@ Let's understand the usage with sample json from `stores` dataset.
 
 ### Example 1: Use OR operation as logical-query
 
-The example helps to find stores with more than 15 full-time staff or more than 20 part-time staff, run a query using the $or operator on both the conditions. Then, project only the name and staff fields from the stores in the result set.
+This query retrieves stores with more than 15 full-time staff or more than 20 part-time staff, run a query using the $or operator on both the conditions. Then, project only the name and staff fields from the stores in the result set.
 
 ```javascript
 db.stores.find(
@@ -167,9 +167,10 @@ db.stores.find(
 ).limit(2)
 ```
 
-The query returns up to two store documents showing only their name and staff details, filtered by employee count criteria.
+The first two results returned by this query are:
 
 ```json
+[
   {
     "_id": "dda2a7d2-6984-40cc-bbea-4cbfbc06d8a3",
     "name": "Contoso, Ltd. | Home Improvement Closet - Jaskolskiview",
@@ -190,11 +191,12 @@ The query returns up to two store documents showing only their name and staff de
       }
     }
   }
+]
 ```
 
 ### Example 2: Use OR operator as boolean-expression to identify stores with either high sales or large staff
 
-The example finds stores that have either total sales greater than 50,000 or more than 25 total staff members.
+This query retrieves stores that have either total sales greater than 50,000 or more than 25 total staff members.
 
 ```javascript
 db.stores.aggregate([
@@ -217,9 +219,10 @@ db.stores.aggregate([
 ])
 ```
 
-The query returns stores that meet either the sales or staffing criteria.
+The first four results returned by this query are:
 
 ```json
+[
   {
     "_id": "905d1939-e03a-413e-a9c4-221f74055aac",
     "name": "Trey Research | Home Office Depot - Lake Freeda",
@@ -244,6 +247,7 @@ The query returns stores that meet either the sales or staffing criteria.
     "totalStaff": 2,
     "qualifiesForProgram": false
   }
+]
 ```
 
 ## Performance Considerations
@@ -258,3 +262,4 @@ The query returns stores that meet either the sales or staffing criteria.
 ## Related content
 
 [!INCLUDE[Related content](../includes/related-content.md)]
+