DBObject queryCondition=newBasicDBObject("$gte", size); BasicDBObject query=newBasicDBObject("count", queryCondition);returnquery; } WINDOWS下安装好MongoDB后,MongoDB采用Clietn--Server 模式。WIN10下启动MongoDB服务端:-dbpath 指定 数据存储目录(可自己指定一个) D:\Program Files\MongoDB\Server\3.4...
private DBObject countCondi(int size) { DBObject queryCondition = new BasicDBObject("$gte", size); BasicDBObject query = new BasicDBObject("count", queryCondition); return query; }WINDOWS下安装好MongoDB后,MongoDB采用Clietn--Server 模式。WIN10下启动MongoDB服务端:-dbpath 指定 数据存储目录(...
5. new BasicDBObject(); 6. new BasicDBList(); 7. new BasicDBObject("age", new BasicDBObject("$gt", 27))); 8. new BasicDBObject("age", new BasicDBObject("$lt", 15))); 9. "$or", values); 10. 11. DBCursor dbCursor = coll.find(queryCondition); 12. 3, dbCursor.size()...
MongoDB cursors can return the same document more than once in some situations. As a cursor returns documents, other operations may interleave with the query. If one of these operations changes the indexed field on the index used by the query, then the cursor could return the same document ...
Selecting based on a condition in MongoDB Let’s start with the simplest filters — matching documents where some field equals some value. This would be the same as: SELECT*FROMtable_nameWHEREfield=value Let’s do it in MongoDB: criteria={"sponsors":"Fat Shark"}fat_shark_races=races.coun...
To fulfill the following query which specifies a condition on both the qty field and the status field, MongoDB can use the intersection of the two indexes: db.orders.find( { qty: { $gt: 10 } , status: "A" } ) 1. 看问题似乎很神奇。。不过实际看过去也没啥变化。。
To fulfill the following query which specifies a condition on both the qty field and the status field, MongoDB can use the intersection of the two indexes: db.orders.find( { qty: { $gt: 10 } , status: "A" } ) 看问题似乎很神奇。。不过实际看过去也没啥变化。。
MongoDB Enterprise: The subscription-based, self-managed version of MongoDB MongoDB Community: The source-available, free-to-use, and self-managed version of MongoDB MongoDB Atlas Limitations The following limitations apply only to deployments hosted in MongoDB Atlas. If any of these limits prese...
Indexes in LlamaIndex are required if you want to query your data using LlamaIndex. So you need both when using MongoDB as a vector store with LlamaIndex. 1 vs_model = SearchIndexModel( 2 definition={ 3 "fields": [ 4 { 5 "type": "vector", 6 "path": "embedding", 7 "num...
MongoDB can query for documents that contain specific other documents. These queries, at their simplest, work similar to other queries, except that you are matching for an exact object rather than some other kind of value. db.bookCatalog.find( { "editions": { $in: [ { "publicationYear":...