![]() You can’t change an existing query to use the Mixed data source.The first query uses the data source that was selected before you selected Mixed.When you select Mixed, you can then select a different data source for each new query that you add. Mixed: An abstraction that lets you query multiple data sources in the same panel.This can be helpful for testing visualizations and running experiments. Additionally, it can list files and get other data from a Grafana installation. Grafana: A built-in data source that generates random walk data and can poll the Testdata data source.Grafana includes three special data sources: In the meantime, check out our blog!įor general information about querying in Grafana, and common options and user interface elements across all query editors, refer to Query and transform data. If it’s the latter, we’d expect they’ll be back up and running soon. Either we entered the id wrong (oops!), or Vimeo is down. There’s supposed to be a video here, but for some reason there isn’t. You use a data source’s query editor when you create queries in dashboard panels or Explore.īecause of the differences between query languages, each data source query editor looks and functions differently.ĭepending on your data source, the query editor might provide auto-completion features, metric names, variable suggestions, or a visual query-building interface.įor example, this video demonstrates the visual Prometheus query builder: Use query editors The InfluxDB query editorĮach data source’s query editor provides a customized user interface that helps you write queries that take advantage of its unique capabilities. To access data source management tools in Grafana as an administrator, navigate to Configuration > Data Sources in the Grafana sidebar.įor details on data source management, including instructions on how to add data sources and configure user permissions for queries, refer to the administration documentation. Only users with the organization administrator role can add or remove data sources. ![]() To develop a custom plugin, refer to Build a plugin. This documentation describes how to manage data sources in general,Īnd how to configure or query the built-in data sources.įor other data sources, refer to the list of datasource plugins. Which formulates custom queries according to the source’s structure.Īfter you add and configure a data source, you can use it as an input for many operations, including: If the plugin you need doesn’t exist, you can develop a custom plugin.Įach data source comes with a query editor, If you need other data sources, you can also install one of the many data source plugins. These 12 bytes first 4 bytes for the current timestamp, next 3 bytes for machine id, next 2 bytes for process id of MongoDB server and remaining 3 bytes are simple incremental VALUE.Grafana comes with built-in support for many data sources. If you don’t provide then MongoDB provides a unique id for every document. You can provide _id while inserting the document. _id is a 12 bytes hexadecimal number which assures the uniqueness of every document. Primary Key (Default key _id provided by MongoDB itself)įollowing example shows the document structure of a blog site, which is simply a comma separated key value pair.ĭescription: 'MongoDB is no sql database', The following table shows the relationship of RDBMS terminology with MongoDB. Dynamic schema means that documents in the same collection do not need to have the same set of fields or structure, and common fields in a collection's documents may hold different types of data. DocumentĪ document is a set of key-value pairs. Typically, all documents in a collection are of similar or related purpose. Documents within a collection can have different fields. A collection exists within a single database. CollectionĬollection is a group of MongoDB documents. A single MongoDB server typically has multiple databases. Each database gets its own set of files on the file system. Databaseĭatabase is a physical container for collections. MongoDB works on concept of collection and document. ![]() MongoDB is a cross-platform, document oriented database that provides, high performance, high availability, and easy scalability.
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