mongodb gte date

MongoDB Quick Start1. MongoDB Introduction MongoDB is a cross-platform NoSQL document-type database that stores data in the form of Key_Value pairs. NoSQL (not only SQL) databases generally refer to non-relational databases.1.1 features of NoSQL

First, the index introductionIn MongoDB, indexes are used to support efficient queries. If there is no index, MONGODB must scan each document in the entire collection to find a matching document. However, if an appropriate index is established,

A.MongoDB features, features, usage scenariosMongoDB Installation and ConfigurationMongoDB ArchitectureDatabase start, stop, connectJson/bson data formatMongodb1. FeaturesData is in memory, written to disk through a background threadNon-modal

Insert Document: Insert () method To insert data into the MongoDB collection, you need to use the MongoDB Insert () or Save () method. Grammar: The basic syntax for the Insert () command is as follows: >db. Collection_name.insert

Transferred from: http://www.cnblogs.com/cswuyg/p/4355948.html1. Count Statistics result errorThis is because the distributed cluster is migrating data, which results in a count result value error and requires the use of aggregate pipeline to obtain

Brief introduction MongoDB is a NoSQL database based on distributed file storage Written by the C + + language, stable and high performance Designed to deliver scalable, high-performance data storage solutions for WEB applications

Introduction to MongoDB and addition, deletion, modification, and query I. Introduction MongoDB is written in C ++ and is an open source database system based on distributed file storage. MongoDB is designed to provide scalable, high-performance

MongoDB is written by C ++ and its name comes from HuMongoIn the middle of the word "us", we can see from the name that its ambition lies in the processing of massive data. The simplest description of this database is scalable, high-performance,

MongoDB database data aggregation & amp; Pipe operations, mongodb database AggregationThe data aggregation process for pipeline operations on mongodb usually works with pipeline operations. The pipeline operation concept of mongodb is similar to the

The recent year is busy with data processing related work, with MongoDB very much, the following is the practice process of q&a, follow-up will not be updated regularly. 1. Count Statistics result errorThis is because the distributed cluster is