我正在使用spring-data-mongodb,我想使用游标进行聚合操作。
MongoTemplate.stream()获取一个Query,所以我尝试创建聚合实例,使用 Aggregation.toDbObject()将其转换为 DbObject ,使用 DbObject 创建 BasicQuery ,然后调用 stream()方法。
这将返回一个空光标。
调试spring-data-mongodb代码显示 MongoTemplate.stream()使用 FindOperation ,这让我认为thinkspring-data-mongodb不支持流聚合操作。
有没有人能够使用spring-data-mongodb来汇总聚合查询的结果?
为了记录,我可以使用Java mongodb驱动程序,但我更喜欢使用spring-data。
编辑 11月10日 - 添加示例代码:
MatchOperation match = Aggregation.match(Criteria.where("type").ne("AType"));
GroupOperation group = Aggregation.group("name", "type");
group = group.push("color").as("colors");
group = group.push("size").as("sizes");
TypedAggregation<MyClass> agg = Aggregation.newAggregation(MyClass.class, Arrays.asList(match, group));
MongoConverter converter = mongoTemplate.getConverter();
MappingContext<? extends MongoPersistentEntity<?>, MongoPersistentProperty> mappingContext = converter.getMappingContext();
QueryMapper queryMapper = new QueryMapper(converter);
AggregationOperationContext context = new TypeBasedAggregationOperationContext(MyClass.class, mappingContext, queryMapper);
// create a BasicQuery to be used in the stream() method by converting the Aggregation to a DbObject
BasicQuery query = new BasicQuery(agg.toDbObject("myClass", context));
// spring-mongo attributes the stream() method to find() operationsm not to aggregate() operations so the stream returns an empty cursor
CloseableIterator<MyClass> iter = mongoTemplate.stream(query, MyClass.class);
// this is an empty cursor
while(iter.hasNext()) {
System.out.println(iter.next().getName());
}
以下代码(不使用stream()方法)返回聚合的预期非空结果:
AggregationResults<HashMap> result = mongoTemplate.aggregate(agg, "myClass", HashMap.class);
答案 0 :(得分:3)
对于那些仍在努力寻找答案的人:
从spring-data-mongo版本2.0.0.M4开始( AFAIK )MongoTemplate
获得了aggregateStream
方法。
所以你可以做到以下几点:
AggregationOptions aggregationOptions = Aggregation.newAggregationOptions()
// this is very important: if you do not set the batch size, you'll get all the objects at once and you might run out of memory if the returning data set is too large
.cursorBatchSize(mongoCursorBatchSize)
.build();
data = mongoTemplate.aggregateStream(Aggregation.newAggregation(
Aggregation.group("person_id").count().as("count")).withOptions(aggregationOptions), collectionName, YourClazz.class);