Setup an Elastic Search Data Source


Learn to setup an Elastic Search Data Source.

Configurations are made in Grafana.

(tick) Panels compatible with Elasticsearch Datasource


In this section, you will know how to setup an Elastic Search Data Source for your Dashboards.

Steps



Enter the name of the Data Source.

  • Enter an appropriate name of the Data Source.
  • Select "Default" if required.

Select the Type.

  • Select the type of the Data Source as "Elastic search".

Enter HTTP settings.

  • Enter the URL.
  • Select Access type ((info)There are two types of Access Types : Direct and Proxy).
  • Select HTTP Authentication (if required).

Enter Elastic search details.

  • Enter the Index name.
  • Select the pattern type.
  • Enter the Time field name.
  • Select the version.

Enter the Default Query Settings (optional).

Click “Save & Test”.


List and description of the Item Names:

Item Name

Description

Name

Represents the name of the Data source. You can give any desired name to the Data source.

Default

Select Default if the Data Source is pre-selected in the new panel.

Type

Denotes the type of the Data source. Select the type as “Elastic search”.

URL

Represents the web address, where the Data source runs.

Eg: http://hostname:9200/

Access

The two types of Access types are -

    • Direct: Select "Direct" when you there is no need to bypass any local proxy. The URL needs to be accessed in the browser.
    • Proxy: Select "Proxy" when you have to bypass any local proxy. The URL needs to be accessed from Grafana backend.

HTTP Authentication

If Authentication is selected, enter the Username and Password.

Index Name

It represents the target node at which data needs to be fetched.

Eg: neo4j-index-node

PatternPattern represents the time notation at which data must be fetched. Pattern could be hourly, daily, weekly, monthly, yearly.
Time field name

It is with reference of time for the Index name.

Eg: inSightsTimeX

Version

Represents the version of the Data source.

Eg: 1.x or 2.x

Group by time intervalRepresents the time interval at which grouping must be performed on the data.
Save & TestSaves and tests the Data source.
DeleteDeletes the Data source.

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