Update Discover content for 2.0 features

_dashboards/discover/defining-analyzing-searches.md

@@ -0,0 +1,73 @@
+---
+layout: default
+title: Defining and analyzing searches
+parent: Analyzing data
+nav_order: 10
+---
+
+# Defining and analyzing searches
+
+Discovering and exploring data in OpenSearch Dashboards is a powerful way to gain insights from your data. The Discover application within OpenSearch Dashboards provides a flexible interface for defining and analyzing searches across your data.
+
+## Defining a search
+
+To define a search, follow these steps:  
+
+1. On the OpenSearch Dashboards navigation menu, select **Discover**.
+2. Choose the data you want to work with. In this case, choose `opensearch_dashboards_sample_data_flights` from the upper-left dropdown menu. 
+3. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/calendar-oui.png" class="inline-icon" alt="calendar icon"/>{:/} icon to change the time range of your search and then select **Refresh**.
+
+## Analyzing document tables
+
+In OpenSearch, a document table stores unstructured data. In a document table, each row represents a single document, and each column contains document attributes. 
+
+### View document attributes
+
+To review document attributes, follow these steps: 
+
+1. From the data table's left column, choose the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/inspect-icon.png" class="inline-icon" alt="inspect icon"/>{:/} icon to open the **Document Details** window. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/minimize-icon.png" class="inline-icon" alt="minimize icon"/>{:/} icon to close the **Document Details** window.
+2. Examine the metadata. You can switch between the **Table** and **JSON** tabs to view the data in your preferred format. 
+3. Select **View surrounding documents** to view data for other log entries either preceding or following your current document or select **View single document** to view a particular log entry.
+
+### Add or delete fields in document tables
+
+To add or delete fields in a document table, follow these steps:
+
+1. View the data fields listed under **Available fields** and select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/plus-icon.png" class="inline-icon" alt="plus icon"/>{:/} icon to add the desired fields to the document table. The field will be automatically added to both **Selected fields** and the document table. For this example, choose the fields `Carrier`, `AvgTicketPrice`, and `Dest`.
+2. Select **Sort fields** > **Pick fields to sort by**. Drag and drop the chosen fields in the desired sort order. 
+
+## Searching data
+
+You can use the search toolbar to enter a [DQL]({{site.url}}{{site.baseurl}}/dashboards/discover/dql/) or [query string]({{site.url}}{{site.baseurl}}/query-dsl/full-text/query-string/) query. The search toolbar is best for basic queries; for full query and filter capability, use [query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/index/) in the [Dev Tools console]({{site.url}}{{site.baseurl}}/dashboards/dev-tools/index-dev/).
+
+For more information, see [Discover and Dashboard search toolbar]({{site.url}}{{site.baseurl}}/dashboards/index/#discover-and-dashboard-search-bar).
+
+## Filtering data
+
+Filters allow you to narrow the results of a query by specifying certain criteria. You can filter by field, value, or range. The **Add filter** pop-up suggests the available fields and operators.
+
+To filter your data, follow these steps:
+
+1. Under the DQL search bar, choose **Add filter**.
+2. Select the desired options from the **Field**, **Operator**, and **Value** dropdown lists. For example, select `Cancelled`, `is`, and `true`.
+3. Choose **Save**.
+4. To remove a filter, choose the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/cross-icon.png" class="inline-icon" alt="cross icon"/>{:/} icon to the right of the filter name.
+
+## Saving a search
+
+To save your search, including the query text, filters, and current data view, follow these steps:  
+
+1. Select **Save** on the upper-right toolbar. 
+2. Add a title, and then choose **Save**. 
+3. Select **Open** on the upper-right toolbar to access your saved searches. 
+
+## Visualizing data findings
+
+To visualize your data findings, follow these steps:
+
+1. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/inspect-icon.png" class="inline-icon" alt="inspect icon"/>{:/} icon to the right of the field you want to visualize. 
+2. Select the **Visualize** button. When the **Visualize** application is launched, a visualization appears. 
+
+## Setting alerts
+
+Set alerts to notify you when your data exceeds your specified thresholds. Go to [Alerting dashboards and visualizations]({{site.url}}{{site.baseurl}}/observing-your-data/alerting/dashboards-alerting/) to learn about creating and managing alerts.

_dashboards/discover/exploring-query-enhancements.md

@@ -0,0 +1,77 @@
+---
+layout: default
+title: Exploring query enhancements
+parent: Analyzing data
+nav_order: 20
+---
+
+# Exploring query enhancements
+Introduced 2.18
+{: .label .label-purple }
+
+Starting with OpenSearch 2.17, query enhancements have been made. These enhancements are experimental and may be subject to change or instability. Enhancements include the following: 
+
+- Query languages PPL and SQL, with **Query Assist** for PPL
+- Multiline query editor for PPL and SQL and autocomplete for PPL and DQL
+- Data selector with **Data Explorer** that supports index patterns, indexes, and Amazon S3 connections and data configuration that supports selecting the appropriate query language based on the data type
+- Link sharing through URLs without needing write permission to create an index pattern
+
+All existing functionality remains in OpenSearch 2.17, and the new features are designed to improve your data exploration experience. The **Enable query enhancements** is currently not on a minimal distribution. In a minimal distribution of OpenSearch and OpenSearch Dashboards, query enhancements do not provide access to PPL or SQL functionality. To use these features, the [OpenSearch SQL plugin]({{site.url}}{{site.baseurl}}/search-plugins/sql/settings/) is required. 
+
+Query enhancements work with a basic OpenSearch installation, but to enable SQL, PPL, and external data source queries, additional plugins such as the SQL plugin are necessary. Ensure that you have the [required plugins]({{site.url}}{{site.baseurl}}/install-and-configure/plugins/) installed to take full advantage of these query enhancement features. 
+
+You can leave your feedback at [https://forum.opensearch.org/)](https://forum.opensearch.org/) to help the OpenSearch open source project improve this feature.
+{: .note}
+
+## Enabling query enhancements
+
+To enable the query enhancements through OpenSearch Dashboards, follow these steps: 
+
+1. Go to **Dashboards Management** > **Advanced settings** > **Search** and toggle on **Enable query enhancements**. Tip: You can select the **Search** pane from the **Category** dropdown menu in the upper-right search bar.
+2. Select the **Save** button to save your changes. 
+3. Reload the page as prompted in the pop-up message.
+
+Alternatively, you can override the setting on startup by running the following command:
+
+```
+./bin/opensearch-dashboards --uiSettings.overrides['query:enhancements:enabled']=true
+```
+{% include copy-curl.html %}
+
+## Using the experimental features
+
+The following tutorials guide you through some of the experimental features and capabilities.
+
+### Query language enhancements
+
+You can now use PPL in **Discover**. Follow these steps to try out the feature:
+
+1. Go to **Discover** and select **PPL** from the query language dropdown menu in the upper-right search bar. You should see a dashboard containing the query editor, histogram, and data table panes.
+2. Select a sample dataset. For this example, select `opensearch_dashboards_sample_data_ecommerce` from the data source dropdown menu above the query editor and adjust the time filter to **Last 1 year**.
+3. Enter the following example PPL query:
+
+```json
+source = opensearch_dashboards_sample_data_logs
+| where tags = "success" 
+| where geo.dest = "US"
+```
+{% include copy-curl.html %}
+
+4. View the resulting output that shows the number of successful log entries originating from the United States. You should see an updated histogram and data table following the query editor. 
+5. Select the **Recent queries** option within the query editor toolbar to display your recent queries.
+
+PPL and DQL provide an autocomplete option that suggests field names, functions, and syntax. 
+
+
+## Selecting data sources and data types through the UI
+
+You can now select your data sources and types from within the **Discover** dashboard. Follow these steps to try out the feature.
+
+1. From the **Discover** page, select a data source from the dropdown menu in the upper toolbar. 
+2. Select the **View all available data** button to display a list of your available data sources. You may need to refresh your page to display any newly added data sources.
+3. Select the desired data source and follow steps displayed in the data sources window to manage your data source.
+
+You can now use **Query Assist** with PPL queries. With **Query Assist**, you can ask questions like _Are there any errors in my logs?_. The assistant includes predefined prompts. Follow these steps to try out the feature:
+
+1. Select **PPL** from the dropdown menu in the query toolbar.
+2. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/dashboards/query-assist.png" class="inline-icon" alt="query assist icon"/>{:/} icon and choose a predefined question. The resulting output is displaying in the query editor pane.

_dashboards/discover/index-discover.md

@@ -9,105 +9,12 @@ redirect_from:
 
 # Analyzing data
 
-To analyze your data in OpenSearch and visualize key metrics, you can use the **Discover** application in OpenSearch Dashboards. An example of data analysis in **Discover** is shown in the following image. 
-
-<img src="{{site.url}}{{site.baseurl}}/images/dashboards/discover.png" alt="A Discover default page" width="700">
+You can analyze your data in OpenSearch and visualize key metrics using the **Discover** application in OpenSearch Dashboards. Using **Discover**, you can explore and visualize data from various data sources, data types, and query languages.
 
 ## Getting started
 
-In this tutorial, you'll learn about using **Discover** to:
-
-- Add data.
-- Interpret and visualize data.
-- Share data findings.
-- Set alerts.
-
-Before getting started, make sure you:
+Before getting started with exploring and visualizing your data using **Discover**, make sure you:
 
 - Install [OpenSearch Dashboards](https://opensearch.org/downloads.html).
-- Add sample data or import your own data into OpenSearch. Go to the [OpenSearch Dashboards quickstart guide]({{site.url}}{{site.baseurl}}/dashboards/quickstart/) to learn about adding sample datasets. Go to [Managing indexes]({{site.url}}{{site.baseurl}}/im-plugin/index/) to learn about importing your own data.
+- Add sample data or import your own data into OpenSearch. See [OpenSearch Dashboards quickstart guide]({{site.url}}{{site.baseurl}}/dashboards/quickstart/) to learn about adding sample datasets or [Managing indexes]({{site.url}}{{site.baseurl}}/im-plugin/index/) to learn about importing your own data.
 - Have a foundational understanding of [OpenSearch documents and indexes]({{site.url}}{{site.baseurl}}/im-plugin/index/).
-
-## Defining the search
-
-To define a search, follow these steps:  
-
-1. On the OpenSearch Dashboards navigation menu, select **Discover**.
-2. Choose the data you want to work with. In this case, choose `opensearch_dashboards_sample_data_flights` from the upper-left dropdown menu. 
-3. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/calendar-oui.png" class="inline-icon" alt="calendar icon"/>{:/} icon to change the time range of your search and then select **Refresh**.
-
-The resulting view is shown in the following image.
-
-<img src="{{site.url}}{{site.baseurl}}/images/dashboards/define-search.png" alt="Discover interface showing search of flight sample data for Last 7 days"  width="700">
-
-## Analyzing document tables
-
-In OpenSearch, a document table stores unstructured data. In a document table, each row represents a single document, and each column contains document attributes. 
-
-To examine document attributes, follow these steps: 
-
-1. From the data table's left column, choose the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/inspect-icon.png" class="inline-icon" alt="inspect icon"/>{:/} icon to open the **Document Details** window. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/minimize-icon.png" class="inline-icon" alt="minimize icon"/>{:/} icon to close the **Document Details** window.
-2. Examine the metadata. You can switch between the **Table** and **JSON** tabs to view the data in your preferred format. 
-3. Select **View surrounding documents** to view data for other log entries either preceding or following your current document or select **View single document** to view a particular log entry.
-
-The resulting view is shown in the following image.
-
-<img src="{{site.url}}{{site.baseurl}}/images/dashboards/doc-details.png" alt="Document attributes"  width="700">
-
-To add or delete fields in a document table, follow these steps:
-
-1. View the data fields listed under **Available fields** and select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/plus-icon.png" class="inline-icon" alt="plus icon"/>{:/} icon to add the desired fields to the document table. The field will be automatically added to both **Selected fields** and the document table. For this example, choose the fields `Carrier`, `AvgTicketPrice`, and `Dest`.
-2. Select **Sort fields** > **Pick fields to sort by**. Drag and drop the chosen fields in the desired sort order. 
-
-The resulting view is shown in the following image.
-
-<img src="{{site.url}}{{site.baseurl}}/images/dashboards/add-data-fields.png" alt="Adding and deleting data fields"  width="700">
-
-## Searching data
-
-You can use the search toolbar to enter a [DQL]({{site.url}}{{site.baseurl}}/dashboards/discover/dql/) or [query string]({{site.url}}{{site.baseurl}}/query-dsl/full-text/query-string/) query. The search toolbar is best for basic queries; for full query and filter capability, use [query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/index/) in the [Dev Tools console]({{site.url}}{{site.baseurl}}/dashboards/dev-tools/index-dev/).
-
-For more information, see [Discover and Dashboard search toolbar]({{site.url}}{{site.baseurl}}/dashboards/index/#discover-and-dashboard-search-bar).
-
-## Filtering data
-
-Filters allow you to narrow the results of a query by specifying certain criteria. You can filter by field, value, or range. The **Add filter** pop-up suggests the available fields and operators.
-
-To filter your data, follow these steps:
-
-1. Under the DQL search bar, choose **Add filter**.
-2. Select the desired options from the **Field**, **Operator**, and **Value** dropdown lists. For example, select `Cancelled`, `is`, and `true`.
-3. Choose **Save**.
-4. To remove a filter, choose the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/cross-icon.png" class="inline-icon" alt="cross icon"/>{:/} icon to the right of the filter name.
-
-The resulting view is shown in the following image.
-
-<img src="{{site.url}}{{site.baseurl}}/images/dashboards/discover-filter.png" alt="Visualize data findings interface" width="700"/>
-
-## Saving a search
-
-To save your search, including the query text, filters, and current data view, follow these steps:  
-
-1. Select **Save** on the upper-right toolbar. 
-2. Add a title, and then choose **Save**. 
-3. Select **Open** on the upper-right toolbar to access your saved searches. 
-
-## Visualizing data findings
-
-To visualize your data findings, follow these steps:
-
-1. Select the {::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/icons/inspect-icon.png" class="inline-icon" alt="inspect icon"/>{:/} icon to the right of the field you want to visualize. 
-
-   The resulting view is shown in the following image.
-
-   <img src="{{site.url}}{{site.baseurl}}/images/dashboards/visualize-discover.png" alt="Visualize data findings interface" width="700"/>
-
-2. Select the **Visualize** button. When the **Visualize** application is launched, a visualization appears. 
-
-   The resulting view is shown in the following image.
-
-   <img src="{{site.url}}{{site.baseurl}}/images/dashboards/visualization-flight.png" alt="Data visualization of flight sample data field destination" width="700"/>
-
-## Setting alerts
-
-Set alerts to notify you when your data exceeds your specified thresholds. Go to [Alerting dashboards and visualizations]({{site.url}}{{site.baseurl}}/observing-your-data/alerting/dashboards-alerting/) to learn about creating and managing alerts.

_dashboards/discover/time-filter.md

@@ -2,7 +2,7 @@
 layout: default
 title: Time filter
 parent: Analyzing data
-nav_order: 20
+nav_order: 50
 redirect_from:
   - /dashboards/get-started/time-filter/
   - /dashboards/discover/time-filter/