import data into mongodb

MongoDB is a popular nosql software. It has released versions on Windows Linux Mac platform. After testing, the efficiency is still very good, but the memory consumption is very high because mapviewoffile is used, that is, the hard disk data is mapped directly to the memory, so the entire memory needs to be loaded (http://www.cnblogs.com/daizhj/archive/2011/04/25/mongos_mmap_source_code.html ). Memory monit

Tags: document targe data store user prim Dex buffer rds CacheThe storage Engine (Storage) is the core component of MongoDB, responsible for managing how data is stored on the hard disk and memory. Starting with the MongoDB 3.2 release, MongoDB supports the multi-

dependencies have been imported, you can start writing the actual code.First create an entity class that needs to be persisted to the MongoDB database. Person.java Package com.ch.jpa.entity; Import java.util.ArrayList; Import java.util.List; Import Org.springframework.data.annotation.Id;

1. Export to CSV file:　　2. Import from CSV:　　data is exported through CSV export, there is a very hidden problem , you need to note when writing code:Pilot into one data:　　　　Where Price is a double type:　　　　Then I export the record to demo.csv and delete the record from the database, and then import the record from Dem

turn on the Profiling function To optimize for slow queries: MongoDB can monitor data through profile to optimize it.To see whether the profile function is currently open with commandsDb.getprofilinglevel () returns level with a value of 0|1|2, meaning: 0 for off, 1 for slow command, 2 for allDb.setprofilinglevel (level); #level等级, value ibid.At level 1, the slow command defaults to 100ms and changes to Db

Migrate the collection data in MongoDB to the MySQL database 1. Export data on mongodb and write expmongo. sh. The shell script is as follows: #! /Bin/shDatestr = 'date' + % Y-% m-% d''/Usr/local/mongodb/mongodb-linux-x86_64-2.4.4

" : "zhangsan" }{ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "lisi" }mongos> db.test.remove({"id":1}) #删除test集合中的id为1的数据WriteResult({ "nRemoved" : 1 })mongos> db.test.find(){ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "lisi" }mongos> db.test.update({"id":2},{$set:{"name":"wangwu"}}) #修改数据WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })mongos> db.test.find(){ "_id" : ObjectId("5b4eb96759122739e2695614"), "id" : 2, "name" : "wa

Mongodb entry-3 data type-Basic Data Type MongoDB documentation uses BSON (BinaryJSON) to organize data. BSON is similar to JSON and JSON is just a simple way to represent data, it only contains six

On a talk about MongoDB installation and management, which involves a number of concepts, data structure and some API calls, do not know it's okay, actually very simple, this will be a brief introduction.1. DocumentationThe document is the core concept of MongoDB, and multiple key-value pairs are placed together as a document, and the document is the most basic

MongoDB is a well-known NoSQL document database, while Spring is a well-known open-source framework in the Java field. In addition to the IoC and AOP components that constitute the core of Spring, Spring also has a large number of sub-frameworks applied in different fields. Spring Data is a sub-project dedicated to Data processing. In Spring

also in reverse order ), and the performance of 10 records is returned after the Skip100 records. The impact of Skip and Order on the performance is measured. 7) query the performance of 100 records (that is, KB) (no sorting and no conditions). This test is to test the performance impact of query results of large data volumes. 8) count the total disk usage, index disk usage, and data disk usage as the test

MongoDB Data Replication shard I. MongoDB introduction: MongoDB is a high-performance, open-source, and non-pattern document-based database. It is a popular NoSql database. It can be used in many scenarios to replace traditional relational databases or key/value storage methods. It can easily be combined with JSON

Note: This article is a by-product study of Mongodb Distributed Data Storage. Through the relevant steps in this article, data in a large table can be distributed to several mongo servers. In MongoDB 1.6, the auto-sharding function is basically stable and can be used in a production environment. Because it is auto-shar

recovery tool.(6) Mongoexport: Data export tool.(7) Mongoimport: Data import Tool.(8) Mongofiles:gridfs management tool, can realize the access of binary file.(9) MONGOs: piecewise routing, if the sharding feature is used, the application is connected to MONGOs, not mongod.(a) Mongosniff: This tool functions like tcpdump, except that he only monitors

Spring Data MongoDB III: Basic document Queries (query, basicquery) (i) Learn MongoDB II: MongoDB Add, delete, modifyA. IntroductionSpring Data MongoDB provides org.springframework.data.mongodb.core.MongoTemplate operation of the

I will share an article about how to import and export a large data volume using the impexp command over 10 Gb expdpimpdp. For more information, see. I will share an article about how to import and export large data volumes. We have used the expdp/impdp command over 10 Gb Based on imp/exp commands. For more information

Read Catalogue Order Import files to Hive To import query results from other tables into a table Dynamic partition Insertion Inserting the value of an SQL statement into a table Analog data File Download Series Index This article is copyright Mephisto and Blog Park is shared, welcome reprint, but must retain this paragraph st

Test environment: WindowsI. Exporting dataf:\dbsoft\soft\master\bin>mongoexport/h 127.0.0.1/port 50000/d testdb/c tb1--type=csv/f _id,name,age/o F:\DbSoft\mongodb\export_file\abc.dat2015-12-02t15:01:06.787+0800 Connected to:127.0.0.1:500002015-12-02t15:01:10.371+0800 exported 110002 Recordsf:\dbsoft\soft\master\bin>mongoexport/h 127.0.0.1/port 50000/d testdb/c tb1--type=json/f _id,name,age/o F:\DbSoft\mongodb