docs: document Use global filters option for ES|QL layers (#6351)

explore-analyze/visualize/charts/pie-charts.md

@@ -221,10 +221,10 @@ This is useful when:
 This example uses the **Kibana Sample Data Logs** data set and groups requests by file extension to approximate resource usage: `.zip` files map to processing time, `.gz` files map to bandwidth, and `.rpm` files map to memory usage.
 
 1. Create a **Pie** chart and remove any existing **Slice by** dimension.
-2. Open **Layer settings**:
-   * {applies_to}`serverless: ga` {applies_to}`stack: ga 9.3` Select {icon}`app_management` **Layer settings**.
+2. Open the layer settings:
+   * {applies_to}`serverless: ga` {applies_to}`stack: ga 9.3` Select {icon}`gear` **Settings**/**Layer settings**.
    * {applies_to}`stack: ga 9.0-9.2` Select {icon}`boxes_vertical`, then select **Layer settings**.
-3. Select **Multiple metrics**, then close the **Layer settings** menu.
+3. Select **Multiple metrics**, then close the layer settings menu.
 4. Add metrics for each resource type:
 
    | Slice | Metric configuration | Filter |

explore-analyze/visualize/charts/waffle-charts.md

@@ -85,8 +85,8 @@ You can use **Multiple metrics** to show progress toward a goal, with filled squ
 This example uses the **Kibana Sample Data eCommerce** data set. If you haven't installed it yet, refer to [Sample data](/manage-data/ingest/sample-data.md) for instructions.
 
 1. Create a **Waffle** chart using the **Kibana Sample Data eCommerce** {{data-source}}.
-2. Open **Layer settings**:
-   * {applies_to}`serverless: ga` {applies_to}`stack: ga 9.3` Select {icon}`app_management` **Layer settings**.
+2. Open the layer settings:
+   * {applies_to}`serverless: ga` {applies_to}`stack: ga 9.3` Select {icon}`gear` **Settings**/**Layer settings**.
    * {applies_to}`stack: ga 9.0-9.2` Select {icon}`boxes_horizontal`, then select **Layer settings**.
 3. Select **Multiple metrics**, then close the layer settings.
 4. Add two metrics:

explore-analyze/visualize/esorql.md

@@ -130,6 +130,18 @@
 
 Drilldowns can only be triggered from values backed by a field that exists in the underlying index. Values produced by {{esql}} commands like `EVAL` or `STATS` are not backed by an index field, so the drilldown option is not available when you click on those columns or series. For more information, refer to [Add pills by interacting with visualizations](../dashboards/using.md#_add_pills_by_interacting_with_visualizations).
 
+## Ignore dashboard filters [esql-viz-ignore-dashboard-filters]
+```{applies_to}
+stack: ga 9.5
+serverless: ga
+```
+
+By default, an {{esql}} visualization applies the filters and the KQL or Lucene query set at the dashboard level. To force a layer to run its query without these filters:
+1. Select the {icon}`gear` **Settings** icon on the layer header.
+2. Turn off **Use global filters**.
+
+This option covers the dashboard's filter pills and the query from the search bar. The dashboard time range is a separate control that always applies, whether or not the option is turned on.
+
 ## Create an alert from your {{esql}} visualization
 ```{applies_to}
 stack: ga 9.1

explore-analyze/visualize/lens.md

@@ -274,7 +274,7 @@ To create partition charts, such as pie charts, configure one or more **Slice by
 
 For detailed instructions on creating pie charts, including best practices and configuration options, refer to [Build pie charts with {{kib}}](/explore-analyze/visualize/charts/pie-charts.md).
 
-1. In the layer pane, click ![Actions menu for the partition visualization layer](/explore-analyze/images/kibana-lens_layerActions_8.5.0.png ""), then select **Layer settings**.
+1. In the layer pane, click ![Actions menu for the partition visualization layer](/explore-analyze/images/kibana-lens_layerActions_8.5.0.png ""), then select **Settings**/**Layer settings**.
 2. Select **Multiple metrics**.
 3. Click **X**.
 
@@ -284,7 +284,7 @@ For detailed instructions on creating pie charts, including best practices and c
 stack: preview
 ```
 
-Data sampling allows you to improve the visualization loading time. When you can create your visualization, click the **Layer settings** icon {icon}`app_management` and use the slider to adjust the **Sampling** percentage. For example, on large datasets, you can decrease the loading time by using a lower sampling percentage. This increases performance but lowers the accuracy.
+Data sampling allows you to improve the visualization loading time. When you create your visualization, click the **Settings**/**Layer settings** icon {icon}`gear` and use the slider to adjust the **Sampling** percentage. For example, on large datasets, you can decrease loading time by using a lower sampling percentage. This increases performance but reduces accuracy.
 
 
 ### Add annotations [add-annotations]
@@ -299,7 +299,7 @@ Click the **Add layer** icon {icon}`plus_square` , select **Annotations** and se
 1. Select the {{data-source}} for the annotation.
 2. From the fields list, drag a field to the **Horizontal axis** field.
 
-To use global filters in the annotation, click the **Layer settings** icon {icon}`app_management` on the annotations layer, and select **Use global filters**.
+To use global filters in the annotation, click the **Settings**/**Layer settings** icon {icon}`gear` on the annotations layer, and select **Use global filters**.
 
 From the annotation panel, you can choose the type of placement and adjust the its appearance.