OpenStack Ceilometer use MongoDB to solve excessive disk space problem
Background: Ceilometer uses MongoDB as a database, constantly sampling, resulting in the volume of data expansion, excessive disk space consumption.
Knowledge background
1.
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MongoDB is an open-source, document-oriented NoSQL (not only SQL) database written using C + +, and one of the most popular NoSQL databases. NoSQL Introduction
NoSQL means "Not just SQL", is the
HiI ' m running Alpine 3.3 in Docker with the testing repo for PHP7 packages, after installing Php7-pear, and trying to run PE CL I get a bunch of warnings/notices:~ # PECLWarning:invalid argument supplied for foreach () in command.php on line
Problem Description:In the deployment of MongoDB, the startup process encountered "version ' openssl_1.0.2 ' not found" such an error, causing MongoDB service does not come:[[email protected] lib]# /usr/local/mongodb/bin/mongod -f /etc/mongodb/mongo.
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,
What is 1.ElasticSearch?ElasticSearch is an open source, distributed, restful search engine built on Lucene. Its service is to provide additional components (a searchable repository) for applications with databases and Web front ends. Elasticsearch
1:mongodb's official website:https://www.mongodb.com MongoDB's Chinese community:http://www.mongoing.com/ (Foreigners also value the Chinese market well, know that everyone English is not good, do the Chinese community)MongoDB's Chinese website:
The sixth chapter recommends 4 hours of study time 10 chaptersHow to learn: read it in detail and implement the relevant code manuallyLearning Goals : This tutorial will teach you to install node, build servers, Express, MySQL, MongoDB, write
Recently MongoDB is frequently shot in the hack news. Many people are more claiming to hate Mongodb,david Mytton on his blog revealing many of the existing problems in MongoDB. But the hated one has the same many preferences, as a comeback: Russell
1. What can Jongo be used to do? The purpose of the Jongo framework is to enable query shells that can be used directly in MongoDB to be used directly in Java. On the homepage there is a very concise example: SHELL: This query method is supported by
ArticleDirectory
The first problem: the key-value database may have a lot of keys. That's right, but it's a big mistake for MongoDB.
The second question: Is findone ({_ ID: XXX}) Faster?
Third question: Use update in detail
In
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Aggregate a collection of more than one million recordsDBObject match = (DBObject) JSON. parse ("{$ match: {logType: {'$ in': [5, 9] }}}");DBObject group = (DBObject) JSON. parse ("{$ group: {'_ id':' $ domainurl', 'count': {'$ sum': 1
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