Data Source Plugin Development

Data source plugins enable Grafana to query and visualize data from external sources. This guide covers the architecture and implementation of data source plugins.

Overview

Data source plugins consist of:

Frontend: Query editor, configuration UI, and data formatting
Backend (optional): Query execution, authentication, and data transformation

Most modern data source plugins include a backend component for security and performance.

Frontend Implementation

Creating a Data Source Plugin

Data source plugins extend the DataSourcePlugin class from @grafana/data:

// module.ts
import { DataSourcePlugin } from '@grafana/data';
import { MyDataSource } from './datasource';
import { ConfigEditor } from './ConfigEditor';
import { QueryEditor } from './QueryEditor';
import { MyQuery, MyDataSourceOptions } from './types';

export const plugin = new DataSourcePlugin<MyDataSource, MyQuery, MyDataSourceOptions>(MyDataSource)
  .setConfigEditor(ConfigEditor)
  .setQueryEditor(QueryEditor);

Implementing the DataSourceApi

The main data source class extends DataSourceApi (from packages/grafana-data/src/types/datasource.ts):

import { 
  DataSourceApi, 
  DataQueryRequest, 
  DataQueryResponse,
  DataSourceInstanceSettings,
  TestDataSourceResponse
} from '@grafana/data';
import { Observable } from 'rxjs';

export class MyDataSource extends DataSourceApi<MyQuery, MyDataSourceOptions> {
  url?: string;

  constructor(instanceSettings: DataSourceInstanceSettings<MyDataSourceOptions>) {
    super(instanceSettings);
    this.url = instanceSettings.url;
  }

  /**
   * Main query method - required
   * Execute queries and return results
   */
  query(request: DataQueryRequest<MyQuery>): Observable<DataQueryResponse> {
    // Implementation
  }

  /**
   * Test datasource connection - required
   * Verify that the data source is properly configured
   */
  async testDatasource(): Promise<TestDataSourceResponse> {
    // Implementation
    return {
      status: 'success',
      message: 'Data source is working'
    };
  }

  /**
   * Optional: Provide annotation support
   */
  annotations?: AnnotationSupport<MyQuery>;

  /**
   * Optional: Support template variables
   */
  variables?: VariableSupport<MyDataSource>;
}

Query Editor Component

The query editor allows users to build queries:

import React from 'react';
import { QueryEditorProps } from '@grafana/data';
import { InlineField, Input } from '@grafana/ui';
import { MyDataSource } from './datasource';
import { MyQuery, MyDataSourceOptions } from './types';

type Props = QueryEditorProps<MyDataSource, MyQuery, MyDataSourceOptions>;

export function QueryEditor({ query, onChange, onRunQuery }: Props) {
  const onQueryTextChange = (value: string) => {
    onChange({ ...query, queryText: value });
  };

  return (
    <div>
      <InlineField label="Query">
        <Input
          value={query.queryText || ''}
          onChange={(e) => onQueryTextChange(e.currentTarget.value)}
          onBlur={onRunQuery}
        />
      </InlineField>
    </div>
  );
}

Configuration Editor

The configuration editor manages data source settings:

import React from 'react';
import { DataSourcePluginOptionsEditorProps } from '@grafana/data';
import { InlineField, Input, SecretInput } from '@grafana/ui';
import { MyDataSourceOptions, MySecureJsonData } from './types';

type Props = DataSourcePluginOptionsEditorProps<MyDataSourceOptions, MySecureJsonData>;

export function ConfigEditor({ options, onOptionsChange }: Props) {
  const { jsonData, secureJsonFields, secureJsonData } = options;

  const onAPIUrlChange = (value: string) => {
    onOptionsChange({
      ...options,
      jsonData: {
        ...jsonData,
        apiUrl: value,
      },
    });
  };

  const onAPIKeyChange = (value: string) => {
    onOptionsChange({
      ...options,
      secureJsonData: {
        ...secureJsonData,
        apiKey: value,
      },
    });
  };

  return (
    <>
      <InlineField label="API URL" labelWidth={12}>
        <Input
          value={jsonData.apiUrl || ''}
          onChange={(e) => onAPIUrlChange(e.currentTarget.value)}
          width={40}
        />
      </InlineField>
      <InlineField label="API Key" labelWidth={12}>
        <SecretInput
          isConfigured={secureJsonFields?.apiKey}
          value={secureJsonData?.apiKey || ''}
          onChange={(e) => onAPIKeyChange(e.currentTarget.value)}
          width={40}
        />
      </InlineField>
    </>
  );
}

Backend Implementation

Plugin Structure

Backend plugins use the Grafana Plugin SDK for Go:

// pkg/plugin/plugin.go
package plugin

import (
    "context"
    "encoding/json"
    "github.com/grafana/grafana-plugin-sdk-go/backend"
    "github.com/grafana/grafana-plugin-sdk-go/backend/instancemgmt"
)

type Datasource struct {
    backend.CallResourceHandler
    im instancemgmt.InstanceManager
}

func NewDatasource(settings backend.DataSourceInstanceSettings) (instancemgmt.Instance, error) {
    // Parse settings
    var jsonData map[string]interface{}
    err := json.Unmarshal(settings.JSONData, &jsonData)
    if err != nil {
        return nil, err
    }

    return &Datasource{}, nil
}

Query Handler

Implement the QueryData method to handle queries:

func (d *Datasource) QueryData(ctx context.Context, req *backend.QueryDataRequest) (*backend.QueryDataResponse, error) {
    response := backend.NewQueryDataResponse()

    // Process each query
    for _, q := range req.Queries {
        res := d.query(ctx, req.PluginContext, q)
        response.Responses[q.RefID] = res
    }

    return response, nil
}

func (d *Datasource) query(ctx context.Context, pCtx backend.PluginContext, query backend.DataQuery) backend.DataResponse {
    var qm QueryModel
    if err := json.Unmarshal(query.JSON, &qm); err != nil {
        return backend.ErrDataResponse(backend.StatusBadRequest, err.Error())
    }

    // Execute query and build response
    frame := data.NewFrame("response")
    // Add fields to frame...

    return backend.DataResponse{
        Frames: []*data.Frame{frame},
    }
}

Health Check

Implement health checks to verify connectivity:

func (d *Datasource) CheckHealth(ctx context.Context, req *backend.CheckHealthRequest) (*backend.CheckHealthResult, error) {
    // Verify connection to data source
    // Example: ping API endpoint

    return &backend.CheckHealthResult{
        Status:  backend.HealthStatusOk,
        Message: "Data source is working",
    }, nil
}

Resource Handler

Implement custom HTTP endpoints:

func (d *Datasource) CallResource(ctx context.Context, req *backend.CallResourceRequest, sender backend.CallResourceResponseSender) error {
    switch req.Path {
    case "databases":
        return d.handleDatabasesRequest(ctx, req, sender)
    case "tables":
        return d.handleTablesRequest(ctx, req, sender)
    default:
        return sender.Send(&backend.CallResourceResponse{
            Status: 404,
        })
    }
}

Plugin.json Configuration

Data source plugins require specific metadata in plugin.json:

{
  "type": "datasource",
  "name": "My Data Source",
  "id": "myorg-datasource",
  "metrics": true,
  "logs": false,
  "tracing": false,
  "annotations": true,
  "alerting": true,
  "backend": true,
  "executable": "gpx_myorg_datasource",
  "queryOptions": {
    "minInterval": true,
    "maxDataPoints": true
  },
  "routes": [
    {
      "path": "api/*",
      "method": "*",
      "url": "{{ .JsonData.apiUrl }}",
      "headers": [
        {
          "name": "Authorization",
          "content": "Bearer {{ .SecureJsonData.apiKey }}"
        }
      ]
    }
  ]
}

Key Configuration Options

metrics: Supports time series data
logs: Supports log data
tracing: Supports trace data
annotations: Supports annotations
alerting: Can be used in alerting rules
backend: Has a backend component
queryOptions: Supported query options (minInterval, maxDataPoints)
routes: HTTP routes for proxying to external APIs

Real-World Example: Prometheus

The Prometheus data source (public/app/plugins/datasource/prometheus/) is an excellent reference:

Frontend Entry Point

// public/app/plugins/datasource/prometheus/module.ts
import { DataSourcePlugin } from '@grafana/data';
import { PrometheusDatasource, PromQueryEditorByApp, PromCheatSheet } from '@grafana/prometheus';
import { ConfigEditor } from './configuration/ConfigEditorPackage';

export const plugin = new DataSourcePlugin(PrometheusDatasource)
  .setQueryEditor(PromQueryEditorByApp)
  .setConfigEditor(ConfigEditor)
  .setQueryEditorHelp(PromCheatSheet);

Plugin Metadata

From public/app/plugins/datasource/prometheus/plugin.json:

{
  "type": "datasource",
  "name": "Prometheus",
  "id": "prometheus",
  "category": "tsdb",
  "metrics": true,
  "alerting": true,
  "annotations": true,
  "backend": true,
  "queryOptions": {
    "minInterval": true
  }
}

Testing Data Sources

Unit Tests

Test your data source implementation:

import { MyDataSource } from './datasource';
import { DataSourceInstanceSettings } from '@grafana/data';

describe('MyDataSource', () => {
  const instanceSettings: DataSourceInstanceSettings = {
    id: 1,
    uid: 'test-uid',
    type: 'myorg-datasource',
    name: 'Test',
    jsonData: {},
  };

  it('should return data', async () => {
    const ds = new MyDataSource(instanceSettings);
    const result = await ds.testDatasource();
    expect(result.status).toBe('success');
  });
});

Integration Testing

Test the plugin in a running Grafana instance:

Build the plugin
Copy to Grafana’s plugin directory
Restart Grafana
Add a new data source instance
Test queries in Explore

Best Practices

Use backend plugins for security: Keep credentials and API keys server-side
Implement proper error handling: Return meaningful error messages
Support streaming: Use Observables for real-time data
Add query help: Provide a query editor help component
Implement variable support: Allow template variables in queries
Add annotation support: Enable event overlays on graphs
Follow naming conventions: Use orgname-datasourcename-datasource for plugin ID
Document your plugin: Include README and inline help

Common Patterns

Proxy Configuration

Use routes to proxy requests through Grafana:

"routes": [
  {
    "path": "api/v1/query",
    "method": "POST",
    "url": "{{ .JsonData.url }}/api/v1/query"
  }
]

Secure Data Storage

Store sensitive data in secureJsonData:

interface MySecureJsonData {
  apiKey?: string;
  password?: string;
}

Query Caching

Implement caching for expensive queries in the backend.

Resources

Build a data source plugin tutorial
Plugin SDK for Go documentation
Grafana Plugin Examples
Source: pkg/plugins/ and public/app/plugins/datasource/

Getting Started

Architecture

Contributing

Plugin Development

API Reference

Data Source Plugin Development

Data Source Plugin Development

Overview

Frontend Implementation

Creating a Data Source Plugin

Implementing the DataSourceApi

Query Editor Component

Configuration Editor

Backend Implementation

Plugin Structure

Query Handler

Health Check

Resource Handler

Plugin.json Configuration

Key Configuration Options

Real-World Example: Prometheus

Frontend Entry Point

Plugin Metadata

Testing Data Sources

Unit Tests

Integration Testing

Best Practices

Common Patterns

Proxy Configuration

Secure Data Storage

Query Caching

Resources

Getting Started

Architecture

Contributing

Plugin Development

API Reference

​Data Source Plugin Development

​Overview

​Frontend Implementation

​Creating a Data Source Plugin

​Implementing the DataSourceApi

​Query Editor Component

​Configuration Editor

​Backend Implementation

​Plugin Structure

​Query Handler

​Health Check

​Resource Handler

​Plugin.json Configuration

​Key Configuration Options

​Real-World Example: Prometheus

​Frontend Entry Point

​Plugin Metadata

​Testing Data Sources

​Unit Tests

​Integration Testing

​Best Practices

​Common Patterns

​Proxy Configuration

​Secure Data Storage

​Query Caching

​Resources

Data Source Plugin Development

Overview

Frontend Implementation

Creating a Data Source Plugin

Implementing the DataSourceApi

Query Editor Component

Configuration Editor

Backend Implementation

Plugin Structure

Query Handler

Health Check

Resource Handler

Plugin.json Configuration

Key Configuration Options

Real-World Example: Prometheus

Frontend Entry Point

Plugin Metadata

Testing Data Sources

Unit Tests

Integration Testing

Best Practices

Common Patterns

Proxy Configuration

Secure Data Storage

Query Caching

Resources