opensearch-docs-cn/_dashboards/discover/multi-data-sources.md

---
layout: default
title: Adding multiple data sources
parent: Exploring data
nav_order: 20
---

# Adding multiple data sources

Use OpenSearch Dashboards to dynamically manage data sources, create index patterns based on those data sources, run queries against a specific data source, and combine visualizations in one dashboard. 

Learn how to enable the `data_source` setting in Dashboards; add credentials, data source connections, and index patterns; and combine visualizations in a single dashboard in this tutorial.

## Modifying the YAML file settings for multiple data sources

This tutorial uses a preconfigured data source and index pattern for which you aren’t required to configure settings. However, you have to enable the multiple data sources feature because it is disabled by default.

To enable multiple data sources:

1. Navigate to your Dashboards home directory, for example, in Docker, `/usr/share/opensearch-dashboards`.
2. Open your local copy of the Dashboards configuration file, `opensearch_dashboards.yml`. If you don't have a copy, [`opensearch_dashboards.yml`](https://github.com/opensearch-project/OpenSearch-Dashboards/blob/main/config/opensearch_dashboards.yml) is available on GitHub.
3. Set `data_source.enabled:` to  `true` and save the YAML file.
4. Restart the Dashboards container.
5. Verify that the configuration settings were created and configured properly by connecting to Dashboards and viewing the **Stack Management** console. **Data Sources** appears in the sidebar, as shown in the following image.

![Data Sources navigation menu]({{site.url}}{{site.baseurl}}/images/dashboards/data-sources.png)

## Creating a data source connection

A data source connection specifies the parameters needed to connect to a data source. These parameters form a connection string for the data source. In Dashboards, you can add new data source connections or edit existing connections.

To create a new data source connection:

1. Go to [`http://localhost:5601`](http://localhost:5601/) and log in with the username `admin` and password `admin`. If you’re running the Security plugin, go to [`https://localhost:5601`](https://localhost:5601/).
2. From the OpenSearch Dashboards main menu, select **Stack Management**, **Data Sources**, and then **Create data source connection**.
3. Add information to each field to configure **Connection Details**, **Endpoint URL**, and **Authentication Method**. 
   
   In the **Connection Details** window, enter a title. Entering a description is optional.

   In the **Endpoint** window, enter the **Endpoint URL**. For this tutorial, use the URL `http://localhost:5601/app/management/opensearch-dashboards/dataSources`.

   In the **Authentication** window, select an **Authentication Method**. The options are:
    - **No authentication**: No authentication is used to connect to the data source.
    - **Username & Password**: A basic username and password are used to connect to the data source.
    - **AWS Sigv4**: An AWS Signature Version 4 authenticating request is used to connect to the data source. AWS Sigv4 requires an access key and a secret key. First specify the **Region**, and then enter the **Access Key** and **Secret Key** for authorization. For information about available AWS Regions for AWS accounts, see [Available Regions](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions). For more about Sigv4 authentication requests, see [Authenticating Requests (AWS Signature Version 4)](https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html).
    
    When you select the authentication method, the applicable fields appear for the selected method. Enter the required details.

    After you have entered the appropriate details in all of the required fields, the **Test connection** and **Create data source connection** buttons become active. You can select **Test connection** to confirm that the connection is valid.

4. Select **Create data source connection** to save your settings. The connection is created. The active window returns to the **Data Sources** main page, and the new connection appears in the list of data sources.

5. Delete the data source connection by selecting the check box to the left of the title and then choosing **Delete 1 connection**. Selecting multiple check boxes for multiple connections is supported.

### Editing and updating a data source connection

To make changes to the data source connection, select a connection in the list on the **Data Sources** main page. The **Connection Details** window opens.

To make changes to **Connection Details**, edit one or both of the **Title** and **Description** fields and select **Save changes** in the lower-right corner of the screen. You can also cancel changes here. To change the **Authentication Method**, choose a different authentication method, enter your credentials (if applicable), and then select **Save changes** in the lower-right corner of the screen. The changes are saved.

When **Username & Password** is the selected authentication method, you can update the password by choosing **Update stored password** next to the **Password** field. In the pop-up window, enter a a new password in the first field and then enter it again in the second field to confirm. Select **Update stored password** in the pop-up window. The new password is saved. Select **Test connection** to confirm that the connection is valid.

When **AWS Sigv4** is the selected authentication method, you can update the credentials by selecting **Update stored AWS credential**. In the pop-up window, enter a new  access key in the first field and a new secret key in the second field. Select **Update stored AWS credential** in the pop-up window. The new credentials are saved. Select **Test connection** in the upper-right corner of the screen to confirm that the connection is valid.

To delete the data source connection, select the trash can icon ({::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/dashboards/trash-can-icon.png" class="inline-icon" alt="trash can icon"/>{:/}).

## Creating an index pattern

Use index patterns to access the OpenSearch data that you want to explore. Learn how to load your own data and create an index pattern in the following steps. This tutorial uses the preconfigured index pattern `opensearch_dashboards_sample_data_ecommerce Default`.

1. In the Dashboards console, select **Index Patterns** and then **Create index pattern**.
2. Select **Use external data source connection**.
3. Start typing in the **Search data sources** field to search for the data source you created earlier and then select the data source and **Next step**.
1. In the Dashboards console, choose **Index Patterns** and then **Create index pattern**.
2. Choose **Use external data source connection**.
3. Start typing in the **Search data sources** field to search for the data source you created earlier, select the data source, and then select **Next step**.
4. Add an **Index pattern name** to define the index pattern and then choose **Next step**.
5. Choose an option for the **Time field** and then select **Create index pattern**.

## Searching data

Before you start searching for data, set up the time filter. The sample index pattern used for this tutorial contains time-based data. You can set a time filter that displays only the data within a specified time range, and you can choose the time filter to change the time range or select a specific time range in the histogram.

### Setting the time filter

To set the time filter:

1. In the Dashboards console, select **Discover** and confirm that the index pattern being used is `opensearch_dashboards_sample_data_ecommerce`.
2. Select the calendar icon ({::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/calendar-icon.png" class="inline-icon" alt="calendar icon"/>{:/}) to change the time field. The default time period is **Last 15 minutes**.
3. Change the time field to a particular time period, for example, **Last 7 days**, and then select **Refresh**.
4. Change start or end times by selecting the start or end time in the search bar.
5. In the pop-up window, choose **Absolute**, **Relative**, or **Now** and then specify the date, for example, as shown in the following image.

![Time filter with search bar]({{site.url}}{{site.baseurl}}/images/dashboards/time-filter-data-sources.png)

### Selecting a time range from the histogram

To select a time range for the histogram, choose from the following options:

* Select the bar that represents the time range you want to zoom in on.
* Select the bar and drag to view a specific time range. You must start the selection with the cursor over the background of the chart (the cursor changes to a plus sign when you hover over a valid start point).
* Select the dropdown and then select an interval.

## Selecting multiple data sources in the Dev Tools console

Selecting multiple data sources in the Dev Tools console allows you to work with a broader range of data and gain deeper insight into your code and applications. Watch the video to see it in action, and then try it out in the following steps.

<img src="{{site.url}}{{site.baseurl}}/images/dashboards/multidata-dev-tools.gif" alt="Multiple data sources in Dev Tools demo">{: .img-fluid}

1. Locate your copy of `opensearch_dashboards.yml` and open it in the editor of your choice. 
2. Set `data_source.enabled` to `true`.
3. Connect to OpenSearch Dashboards and select **Dev Tools** in the menu.
4. Enter the following query in the editor pane of the **Console** and then select the play button:

    ```json
    GET /_cat/indices
    ```

5. From the **DataSource** dropdown menu, select a data source and then query the source.
6. Repeat the preceding steps for each data source you want to select.

## Creating data visualizations for a dashboard

To create data visualizations for a dashboard, follow these steps:

1. In the Dashboards console, choose **Visualize** and then **Create visualization**.
2. Select the visualization type. For this tutorial, choose **Line**.
3. Select a source. For this tutorial, choose the index pattern `opensearch_dashboards_sample_data_ecommerce`.
4. Under **Buckets**, choose **Add** and then **X-axis**.
5. In the **Aggregation** field, choose **Date Histogram** and then choose **Update**.
6. Choose **Save** and add the file name.

## Connecting visualizations in a single dashboard

To connect your visualizations in a single dashboard, follow these steps: 

1. In the Dashboards console, choose **Dashboard** and then **Create dashboard**. 
2. Choose **Add an existing** and then select the data you want to add.
3. Choose **Save** and add the dashboard name in the **Title field**. This tutorial uses preconfigured dashboards, so you won’t be able to save your dashboard.
4. Click on the white space left of **Add panels** to view the visualizations in a single dashboard.

Your dashboard might look like the one in the following image.

<img src="{{site.url}}{{site.baseurl}}/images/multi-data-sources-12.jpg" width=700 alt="Example dashboard using data visualizations from many data sources">

## Understanding feature limitations

This feature has the following limitations:

* The multiple data sources feature is supported for index-pattern-based visualizations only.
* The visualization types Time Series Visual Builder (TSVB), Vega and Vega-Lite, and timeline are not supported.
* External plugins, such as Gantt chart, and non-visualization plugins, such as the developer console, are not supported.