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Revise examples and descriptions for $anyElementTrue
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‎articles/cosmos-db/mongodb/vcore/operators/set-expression/$anyelementtrue.md‎

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@@ -28,55 +28,123 @@ The `$anyElementTrue` operator evaluates an array as a set and returns `true` if
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| --- | --- |
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| `array` | An array of expressions to evaluate. If the array is empty, `$anyElementTrue` returns `false`. |
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## Example
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## Examples
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Let's understand the usage with sample JSON from the `stores` dataset.
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Consider this sample document from the stores collection.
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```json
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"name": "Proseware, Inc. | Home Entertainment Hub - East Linwoodbury",
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"location": {
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"lat": 70.1272,
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"lon": 69.7296
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},
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"staff": {
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"totalStaff": {
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"fullTime": 19,
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"partTime": 20
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}
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},
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"sales": {
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"totalSales": 151864,
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"salesByCategory": [
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{
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"categoryName": "Sound Bars",
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"totalSales": 2120
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},
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{
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"categoryName": "Home Theater Projectors",
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"totalSales": 45004
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},
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{
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"categoryName": "Game Controllers",
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"totalSales": 43522
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},
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{
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"categoryName": "Remote Controls",
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"totalSales": 28946
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},
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{
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"categoryName": "VR Games",
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"totalSales": 32272
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}
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"_id": "0fcc0bf0-ed18-4ab8-b558-9848e18058f4",
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"name": "First Up Consultants | Beverage Shop - Satterfieldmouth",
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"location": {
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"lat": -89.2384,
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"lon": -46.4012
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},
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"staff": {
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"totalStaff": {
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"fullTime": 8,
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"partTime": 20
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}
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},
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"sales": {
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"totalSales": 75670,
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"salesByCategory": [
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{
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"categoryName": "Wine Accessories",
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"totalSales": 34440
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},
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{
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"categoryName": "Bitters",
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"totalSales": 39496
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},
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{
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"categoryName": "Rum",
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"totalSales": 1734
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}
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]
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},
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"promotionEvents": [
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{
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"eventName": "Unbeatable Bargain Bash",
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"promotionalDates": {
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"startDate": {
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"Year": 2024,
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"Month": 6,
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"Day": 23
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},
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"endDate": {
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"Year": 2024,
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"Month": 7,
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"Day": 2
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}
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},
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"discounts": [
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{
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"categoryName": "Whiskey",
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"discountPercentage": 7
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},
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{
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"categoryName": "Bitters",
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"discountPercentage": 15
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},
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{
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"categoryName": "Brandy",
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"discountPercentage": 8
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},
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{
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"categoryName": "Sports Drinks",
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"discountPercentage": 22
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},
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{
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"categoryName": "Vodka",
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"discountPercentage": 19
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}
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]
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},
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{
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"eventName": "Steal of a Deal Days",
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"promotionalDates": {
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"startDate": {
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"Year": 2024,
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"Month": 9,
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"Day": 21
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},
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"endDate": {
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"Year": 2024,
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"Month": 9,
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"Day": 29
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}
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},
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"discounts": [
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{
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"categoryName": "Organic Wine",
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"discountPercentage": 19
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},
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{
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"categoryName": "White Wine",
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"discountPercentage": 20
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},
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{
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"categoryName": "Sparkling Wine",
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"discountPercentage": 19
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},
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{
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"categoryName": "Whiskey",
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"discountPercentage": 17
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},
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{
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"categoryName": "Vodka",
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"discountPercentage": 23
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}
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]
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}
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]
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}
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}
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```
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### Example 1: Determine if any sales category exceeds a target
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This following example helps you determine if any sales category exceeds a target. In this case, the target is 40,000 in sales.
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This query determines if any sales category exceeds a specified target. In this case, the target is 40,000 in sales.
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```javascript
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db.stores.aggregate([
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])
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```
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The query returns `true` for the `hasHighPerformingCategory` field, because sales for one of the categories is more than 40,000.
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This query returns the following result.
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```json
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"salesByCategory": [
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{
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"categoryName": "Sound Bars",
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"totalSales": 2120,
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"lastUpdated": "2025-06-11T11:10:34.414Z"
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},
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null,
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{
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"categoryName": "Game Controllers",
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"totalSales": 43522
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},
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{
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"categoryName": "Remote Controls",
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"totalSales": 28946
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},
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{
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"categoryName": "VR Games",
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"totalSales": 32272
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}
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],
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"hasHighPerformingCategory": true
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}
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[
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"salesByCategory": [
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{
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"categoryName": "Sound Bars",
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"totalSales": 2120,
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"lastUpdated": "2025-06-11T11:10:34.414Z"
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},
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null,
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{
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"categoryName": "Game Controllers",
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"totalSales": 43522
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},
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{
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"categoryName": "Remote Controls",
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"totalSales": 28946
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},
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{
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"categoryName": "VR Games",
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"totalSales": 32272
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}
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],
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"hasHighPerformingCategory": true
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}
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]
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```
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### Example 2: Determine if any promotion event has high discounts
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The following example helps you determine if any promotion event offers discounts over 20%.
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This query determines if any promotion event offers discounts over 20%.
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```javascript
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db.stores.aggregate([
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])
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```
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The query returns `true`, because there's at least one promotion event with discounts over 20%.
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The first five results returned by this query are:
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```json
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[
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"eventName": "Massive Markdown Mania",
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"hasHighDiscount": true
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},
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},
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"eventName": "Fantastic Deal Days",
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"eventName": "Grand Deal Days",
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"hasHighDiscount": true
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},
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{
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"_id": "40d6f4d7-50cd-4929-9a07-0a7a133c2e74",
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"eventName": "Major Bargain Bash",
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"hasHighDiscount": true
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}
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]
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```
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