mongodb data browser

First use php-m to see which extensions you have installed.1. Use wget to download Redis compression packagewget Https://github.com/phpredis/phpredis/archive/develop.zip2, decompression Develop.zipUnzip Develop.zip3, enter the unpacked folder, execute phpize generate configureCD DevelopPhpize4. Using Configure./configure--with-php-config=/usr/bin/php-config5. Make/make Install6, modify the php.ini configuration file, the last line of the Sword Exetension=redis.io view the configuration file path

Start MongoDB: sudo service mongodb start ,mongo After testing, the key can be quoted or not added, but the value is generally quoted, except for the value type MongoDB is case-sensitive, and naming is usually based on the camel-named method MongoDB will be created automatically if the database/collect

Tags: mongodb springdataSpring Data MongoDB Combat (ON) Chszs, all rights reserved, without consent, not reproduced. Blogger Home: Http://blog.csdn.net/chszsThis article will detail how spring data MongoDB accesses the MongoDB dat

In MongoDB (version 3.2.9), the distribution of data refers to splitting the collection data into chunks (chunk) and distributing them on different shards (shard). There are 2 main ways to distribute data: Balanced distribution based on the number of blocks (chunk) and directed distribution based on the Slice key range

-12-02t15:34:53.202+0800 done Dumping TESTDB.TB2 (110002 documents)2015-12-02t15:34:54.265+0800 done Dumping TESTDB.TB1 (110002 documents)2015-12-02t15:34:54.543+0800 [...] testdb.ta1 101/1000 (. .....)......01 (0.1%)2015-12-02t15:34:55.819+0800 writing testdb.ta1 metadata to F:\DbSoft\mongodb\export_file\dump1.dat\testdb\ta1.metadata.json2015-12-02t15:34:55.820+0800 done Dumping Testdb.ta1 (100001 documents)F:\dbsoft\soft\master\bin>mongodump/host 12

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

ObjectiveAfter reading the node. JS actual combat, which in the data storage section mentioned Redis, Mongodb, I myself also wrote a few simple demo according to the book introduction, in the demo process first encountered the problem is the data type and common curd. The common operation of MongoDB is in two ways, one

Mongodb database backup and recovery in windowsI can talk about data backup to the c: \ data \ dump directory, first create this path. Go to the bin directory of mongodb.Mine is:C: \ Program Files \ mongodb \ binThe backup script is:// BackupExport dump-h 127.0.0.1: 27017-d test-o c: \

from:http://blog.csdn.net/haha_mingg/article/details/8048422 MongoDB contains, in addition to these string, Integer, Boolean, double, NULL, array, and object basic data types, including: Date, object ID, binary data, regular E Xpression, and code these additional data types.1. Timestamp type The timestamp type is supp

This article is a by-product study of Mongodb distributed data storage. Through the relevant steps in this article, we can distribute data in a large table 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-sharding,

Traditional relational databases are generally composed of three levels of databases (database), tables (table), records (record), and MongoDB are made up of three levels (db), Collections (collection), document objects (documents). MongoDB for tables in relational databases, but there is no column, row, and relationship concept in the collection, which embodies the characteristics of pattern freedom. one,

= = = Installation, Configuration = = = The code is as follows Copy Code #下载源码包Cd/usr/local/src/mongodbWget-c http://fastdl.mongodb.org/linux/mongodb-linux-x86_64-2.2.7.tgz #解压, copy the bin folder to the specified directory/usr/local/mongodbTAR-XZVF./mongodb-linux-x86_64-2.2.7.tgzCD./mongodb-linux-x86_64-2.2.7Mkdir/usr/local/mongodbC

Label:Elasticsearch has a plug-in module called River that can import data from an external data source into a elasticsearch and index it. The river is a singleton pattern on the cluster, it is automatically assigned to a node, and when the node is hung, the river is automatically assigned to another node. Currently supported data sources include: Wikipedia,

How to design a MongoDB Data Model Effective data models serve applications. The key issue in the design architecture is whether the document model is applicable to embedded models or references ). Embedded Data Model (Embedded Data Models) In

Db. bmdMessage. find ({_ id: {$ type: 2 }}). forEach (function (x) {x. _ idObjectId (x. _ id); db. bmdMessage. save (x) ;}); Note: The _ id type cannot be changed if it is created. Reference: Modify the MongoDB field type official document original address: mongodb changes the data type, thanks to the original author Db. bmdMessage. find ({'_ id': {$ type: 2 }})

After building a MongoDB cluster, you need to create a database, create a table, and set the partition primary key to initialize data! After building a MongoDB cluster, you need to create a database, create a table, and set the partition primary key to initialize data! After building the

Elastic Search (ES) is a pop-star for recording and analyzing data, Andmongodb are a famous NoSQL database for storing and q uerying data. With our web infrastructure improving, how can we export data from MongoDB to ES for searching or analyzing purposes? There are 5 possible solutions recommended for your choice. 1.

MongoDB database backup and recovery under Windows I can tell the data back to the C:\data\dump directory, first create this path. And then go under the Bin directory of MongoDB. Mine is: C:\Program Files\mongodb\bin The backup script is: Backup mongo

Data type base data typeMongoDB's file storage format is Bson, which supports inserting document objects and arrays into other document objects and arrays as well as JSON, extending the JSON data type. Those applications that deal with databases. For example, JSON does not have a date type, which makes it tedious to handle a simple date problem. There is only one

NoSQL databases such as MongoDB have the advantages of scalability and high performance, but the computational power is weaker than traditional SQL, such as MongoDB's grouping result is not too large, and does not directly support join operations, and the calculation engine built in the integrated report can just add to this point, Gain the advantages of MongoDB while also having strong computing power.We u