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merged 2 commits into from
Jan 16, 2024
Merged

docsp-33327 - update window api #502

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1853add
fix bug
mongoKart Jan 16, 2024
1cad1af
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mongoKart Jan 16, 2024
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7 changes: 7 additions & 0 deletions source/fundamentals/builders/aggregates.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,13 @@
Aggregates Builders
===================

.. facet::
:name: genre
:values: reference

.. meta::
:keywords: code examples

.. contents:: On this page
:local:
:backlinks: none
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21 changes: 9 additions & 12 deletions source/includes/fundamentals/code-snippets/builders/AggBuilders.java
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Expand Up @@ -82,8 +82,7 @@ public static void main(String[] args) {
page.bucketAutoOptionsStage();
page.facetStage();
page.vectorSearchPipeline();
// Fix required: https://jira.mongodb.org/browse/DOCSP-33327
// page.setWindowFieldsStage();
page.setWindowFieldsStage();
page.aggregationExample();
}

Expand All @@ -95,16 +94,14 @@ private void aggregationExample() {
// end aggregationSample
}

/* Fix required: https://jira.mongodb.org/browse/DOCSP-33327
private void setWindowFieldsStage() {
// begin setWindowFields
Window pastMonth = Windows.timeRange(-1, MongoTimeUnit.MONTH, Windows.Bound.CURRENT);
setWindowFields("$localityId", Sorts.ascending("measurementDateTime"),
WindowedComputations.sum("monthlyRainfall", "$rainfall", pastMonth),
WindowedComputations.avg("monthlyAvgTemp", "$temperature", pastMonth));
WindowOutputFields.sum("monthlyRainfall", "$rainfall", pastMonth),
WindowOutputFields.avg("monthlyAvgTemp", "$temperature", pastMonth));
// end setWindowFields
}
*/

private void facetStage() {
// begin facet
Expand Down Expand Up @@ -258,10 +255,11 @@ private void advancedLookupStage() {
Bson innerJoinLookup = lookup("warehouses", variables, pipeline, "stockdata");
// end advanced lookup
// Missing advancedLookup assignment
// MongoCursor<Document> cursor = collection.aggregate(asList(advancedLookup)).cursor();
// cursor.forEachRemaining(doc -> System.out.println(doc.toJson()));
// database = mongoClient.getDatabase("sample_mflix");
// collection = database.getCollection("movies");
// MongoCursor<Document> cursor =
// collection.aggregate(asList(advancedLookup)).cursor();
// cursor.forEachRemaining(doc -> System.out.println(doc.toJson()));
// database = mongoClient.getDatabase("sample_mflix");
// collection = database.getCollection("movies");
}

private void basicLookupStage() {
Expand Down Expand Up @@ -332,7 +330,7 @@ private void vectorSearchPipeline() {
limit,
options),
project(
metaVectorSearchScore("vectorSearchScore")));
metaVectorSearchScore("vectorSearchScore")));
// end vectorSearch

// begin vectorSearch-output
Expand All @@ -345,7 +343,6 @@ private void vectorSearchPipeline() {
// Example output: "vectorSearch score: 0.887437105178833"
}


private void documentsStage() {
// begin documents
documents(asList(
Expand Down