In this guide, we will cover the steps to install MongoDB 4.4 on RHEL 8 / CentOS 8. MongoDB is an open source NoSQL database system written in C++ designed to ensure scalability, high performance, and availability. MongoDB common use case is storage and management of Big Data-sized collections of literal documents like text documents, email messages,… Leer más »
MongoDB is a NoSQL database that provides high performance, high availability, and automatic scaling. NoSQL database means that, unlike MySQL or PostgreSQL, it does not support SQL (Structured Query Language) to retrieve or manipulate the stored data. MongoDB does not store data in tables. Instead, it stores data in a «document» structure similar to JSON… Leer más »
Step:1 Configure MongoDB 3.2 yum Repository. In both Operating system RHEL7.x and CentOS 7.x yum repositories are kept in ‘/etc/yum.repos.d/’ directory. Create the mongodb repository file with the name “mongodb-org.repo”. [[email protected] ~]# cd /etc/yum.repos.d/ [[email protected] yum.repos.d]# vi mongodb-org.repo name=MongoDB 3.2 Repository baseurl=https://repo.mongodb.org/yum/redhat/$releasever/mongodb-org/3.2/x86_64/ gpgcheck=1 enabled=1 gpgkey=https://www.mongodb.org/static/pgp/server-3.2.asc Step:2 Install MongoDB package using yum command. To install MongoDB… Leer más »
http://www.techpaste.com/2016/04/limit-mongodb-memory-usage/ Spaces are important!!! # Where and how to store data. storage: dbPath: /var/lib/mongo journal: enabled: true # engine: wiredTiger # mmapv1: wiredTiger: engineConfig: configString: cache_size=200M
db.employees.find({$text: {$search: «Jean Valjean»}}, {score: {$meta: «textScore»}}).sort({score:{$meta:»textScore»}})
https://code.tutsplus.com/tutorials/full-text-search-in-mongodb–cms-24835 MongoDB, one of the leading NoSQL databases, is well known for its fast performance, flexible schema, scalability and great indexing capabilities. At the core of this fast performance lies MongoDB indexes, which support efficient execution of queries by avoiding full-collection scans and hence limiting the number of documents MongoDB searches. Starting from version… Leer más »
db.adminCommand({setParameter: 1, internalQueryExecMaxBlockingSortBytes: }) 256GB > db.adminCommand({setParameter: 1, internalQueryExecMaxBlockingSortBytes: 268435456}); { «was» : 33554432, «ok» : 1 } db.employee.find( {$text: { $search : «pedro mario gonzales lopez» } }, { score : { $meta: «textScore» } }) .sort({ score: { $meta : «textScore» } } )
We all know how important it is to have a great search feature for any app. As more and more apps are seen everyday, the standard for a reasonable search feature keeps rising. A lot of us end up using elastic search or any of its alternatives. This post is for those who want an… Leer más »
use sourcedatabase; var docs=db.sourcetable.find(); use targetdatabase; docs.forEach(function(doc) { db.targettable.insert(doc); }); ESTA ES MÁS RÁPIDA (FASTEST!) db.sourcecollection.aggregate([{$out : «targetcollection»}]);