I'm using the Spring Mongo driver to execute a large mongo aggregation statement that will run for a period of time. The output stage of this aggregation writes the output of the aggregation into a new collection. At no point do I need to retrieve the results of this aggregation in-memory.
When I run this in Spring boot, the JVM is running out of memory doing row retrieval, although I'm not using or storing any of the results.
Is there a way to skip row retrieval using MongoTemplate.aggregate?
Ex:
mongoTemplate.aggregate(Aggregation.newAggregation(
   Aggregation.sort(new Sort(new Sort.Order(Sort.Direction.DESC, "createdOn"))),
   Aggregation.group("accountId")
      .first("bal").as("bal")
      .first("timestamp").as("effectiveTimestamp"),
   Aggregation.project("_id", "effectiveTimestamp")
                        .andExpression("trunc(bal * 10000 + 0.5) / 100").as("bal"),
   aggregationOperationContext -> new Document("$addFields", new Document("history",Arrays.asList(historyObj))),
   // Write results out to a new collection - Do not store in memory
   Aggregation.out("newBalance")
).withOptions(Aggregation.newAggregationOptions().allowDiskUse(true).build()),
   "account", Object.class
);
Use AggregationOption - skipOutput() . This will not return a result in case of aggregation pipeline contains $out/$merge operation.
mongoTemplate.aggregate(aggregation.withOptions(newAggregationOptions().skipOutput().allowDiskUse(true).build()), "collectionNme", EntityClass.class);
If you are using MongoDriver without framework.
MongoClient client = MongoClients.create("mongodb://localhost:27017");
 MongoDatabase database = client.getDatabase("my-collection");
 MongoCollection<Document> model = database.getCollection(collectionName);
 AggregateIterable<Document> aggregateResult = model.aggregate(bsonListOfAggregationPipeline);
 
 // instead iterating over call toCollection() to skipResult
 aggregateIterable.toCollection();
References:
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With