OpenStack Ceilometer use MongoDB to solve excessive disk space problem _openstack

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.

MongoDB Installation and Basic use

The blog has moved Https://www.tianmingxing.com 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

PHP7 pecl Installing MongoDB extensions

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

Two workarounds for Starting MongoDB report version ' openssl_1.0.2 ' not found

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.

"Four" MongoDB index management

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,

Data synchronization in distributed cluster environment of Elasticsearch and MongoDB

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

MongoDB a database based on Distributed file storage (a database between a relational database and a non-relational database)

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:

node. js 0 Basic Detailed tutorial (6): MongoDB Database operations

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

MongoDB Core contributors: Not MongoDB no, but you do not understand!

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

Introduction to the use of MongoDB framework Jongo

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

A MongoDB stress test written by Python

1 #!/usr/bin/env python2 #Coding=utf-83 #author:ca0gu04 5 fromPymongoImportmongoclient6 ImportDatetime,time7 8 9 Ten classMongcli (object): One A - def __init__(Self, host="127.0.0.1", port=27017, user='pytest', passwd ='pytest123',

Real MongoDB performance-in practice, one million users-0.1 billion of items

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

DB2 UDB for iSeries indexes can be processed in parallel

This article mainly tells you about the actual operations that DB2 UDB for iSeries indexes can process in parallel, the following describes the actual operations that DB2 UDB for iSeries indexes can process in parallel. We hope this will help you in

Similarities and differences between DB2 database development and PostgreSQL development

This article mainly introduces some similarities between DB2 database development and PostgreSQL development in actual operations. What's more, I recently used DB2 databases and wrote some differences between them. Not necessarily true. But you can

Introduction to the ten features of IBM database DB2 9 (1)

Introduction: IBM database DB2 9It is an important achievement in the development history of databases and brings a new dawn to the development of databases. This article mainly introduces the top ten features of IBM database DB2 9, so that you can

Top 10 DB2 optimization techniques for flying Databases

For helpDB2DBA avoids performance disasters and achieves high performance. I have summarized a fault diagnosis process for our customers, users, and DB2 experts. The following describes in detail the 10 most important performance improvement

Use the command to delete the DB2 database, and then create

When you use commands to delete a DB2 database and create a new database, there are often database alias errors. There are two possible causes of this error: 1. this database exists in the system database directory. You can see in the control center

DB2 purescale vs Oracle RAC

Previously, Oracle's Real Application Cluster (RAC) has always been promoted. We recommend that you use RAC for large database applications, because RAC also addresses the performance expansion and high reliability requirements of these customers.

Exploring the principle and programming implementation of the SHA-1 algorithm in Redis source code

Exploring the principle and programming implementation of the SHA-1 algorithm in Redis source codeGuide The SHA-1 algorithm is short for the first generation of "Security Hash algorithm", and is essentially a Hash algorithm. SHA standards are mainly

The error "SocketTimeoutException" message returned when the MongoDB aggregate query times out.

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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