// route: from("direct:aggregate").to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate");
List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist",
group("$scientist", sum("count", 1)));
from("direct:aggregate")
.setBody().constant(aggregate)
.to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate")
.to("mock:resultAggregate");
// route: from("direct:aggregate").to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate");
List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist",
group("$scientist", sum("count", 1)));
from("direct:aggregate")
.setBody().constant(aggregate)
.to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate")
.to("mock:resultAggregate");
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默认情况下，返回所有结果的列表。根据结果的大小，这可能会对内存进行重度。更安全的选择是设置您的 outputType=MongoIterable。下一个处理器会在消息正文中看到一个可迭代状态，允许它逐个完成结果。因此，设置批处理大小并返回可迭代操作，以便有效地检索和处理结果。
您还可以通过包含 outputType=DBCursor (Camel 2.21+)作为 endpoint 选项，从服务器返回至您的路由的文档可能比设置上述标头更简单。这了来自 Mongo 驱动程序的 DBCursor，就像您在 Mongo shell 中执行 aggregate （）一样，允许您的路由迭代结果。默认情况下，如果不使用此选项，此组件会将驱动程序的光标中的文档加载到列表，并将此数据返回到您的路由 - 这可能导致大量内存对象。请记住，使用 DBCursor 并不要求提供匹配的文档数量 - 请参阅 MongoDB 文档网站了解详细信息。
// route: from("direct:aggregate").to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable");
List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist",
group("$scientist", sum("count", 1)));
from("direct:aggregate")
.setHeader(MongoDbConstants.BATCH_SIZE).constant(10)
.setBody().constant(aggregate)
.to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable")
.split(body())
.streaming()
.to("mock:resultAggregate");
// route: from("direct:aggregate").to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable");
List<Bson> aggregate = Arrays.asList(match(or(eq("scientist", "Darwin"), eq("scientist",
group("$scientist", sum("count", 1)));
from("direct:aggregate")
.setHeader(MongoDbConstants.BATCH_SIZE).constant(10)
.setBody().constant(aggregate)
.to("mongodb3:myDb?database=science&collection=notableScientists&operation=aggregate&outputType=MongoIterable")
.split(body())
.streaming()
.to("mock:resultAggregate");
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