mongostat
collection of tools for administering MongoDB servers
Install
- All systems
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curl cmd.cat/mongostat.sh
- Debian
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apt-get install mongo-tools - Ubuntu
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apt-get install mongo-tools -
Alpine
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apk add mongodb-tools - Arch Linux
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pacman -S mongodb-tools - Kali Linux
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apt-get install mongo-tools - Fedora
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dnf install mongo-tools - Windows (WSL2)
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sudo apt-get updatesudo apt-get install mongo-tools - Raspbian
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apt-get install mongo-tools - Dockerfile
- dockerfile.run/mongostat
- Docker
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docker run cmd.cat/mongostat mongostatpowered by Commando
mongo-tools
collection of tools for administering MongoDB servers
mongodb-tools is a collection of tools for administering MongoDB instances. The package includes the following tools: * bsondump: display BSON files in a human-readable format * mongoimport: convert data from JSON, TSV or CSV and insert them into a collection * mongoexport: write an existing collection to CSV or JSON format * mongodump/mongorestore: dump MongoDB backups to disk in .BSON format, or restore them to a live database * mongostat: monitor live MongoDB servers, replica sets, or sharded clusters * mongofiles: read, write, delete, or update files in GridFS * mongooplog: replay oplog entries between MongoDB servers * mongotop: monitor read/write activity on a mongo server
mongodb-clients
object/document-oriented database (client apps)
MongoDB is a high-performance, open source, schema-free document-oriented data store that's easy to deploy, manage and use. It's network accessible, written in C++ and offers the following features: * Collection oriented storage - easy storage of object-style data * Full index support, including on inner objects * Query profiling * Replication and fail-over support * Efficient storage of binary data including large objects (e.g. videos) * Auto-sharding for cloud-level scalability High performance, scalability, and reasonable depth of functionality are the goals for the project. This package contains the standard administrative shell (mongo) and other utilities for administration or analysis of performance of the server.