Merge branch '7.8' into backport/7.8/pr-66432

.ci/Jenkinsfile_flaky

@@ -70,6 +70,8 @@ def getWorkerFromParams(isXpack, job, ciGroup) {
           "run `node scripts/mocha`"
         )
       })
+    } else if (job == 'accessibility') {
+      return kibanaPipeline.functionalTestProcess('kibana-accessibility', './test/scripts/jenkins_accessibility.sh')
     } else if (job == 'firefoxSmoke') {
       return kibanaPipeline.functionalTestProcess('firefoxSmoke', './test/scripts/jenkins_firefox_smoke.sh')
     } else if(job == 'visualRegression') {
@@ -79,7 +81,9 @@ def getWorkerFromParams(isXpack, job, ciGroup) {
     }
   }
 
-  if (job == 'firefoxSmoke') {
+  if (job == 'accessibility') {
+    return kibanaPipeline.functionalTestProcess('xpack-accessibility', './test/scripts/jenkins_xpack_accessibility.sh')
+  } else if (job == 'firefoxSmoke') {
     return kibanaPipeline.functionalTestProcess('xpack-firefoxSmoke', './test/scripts/jenkins_xpack_firefox_smoke.sh')
   } else if(job == 'visualRegression') {
     return kibanaPipeline.functionalTestProcess('xpack-visualRegression', './test/scripts/jenkins_xpack_visual_regression.sh')

docs/management/rollups/create_and_manage_rollups.asciidoc

@@ -60,7 +60,7 @@ You can read more at {ref}/rollup-job-config.html[rollup job configuration].
 === Try it: Create and visualize rolled up data
 
 This example creates a rollup job to capture log data from sample web logs.
-To follow along, add the <<add-sample-data, sample web logs data set>>.
+To follow along, add the <<get-data-in, sample web logs data set>>.
 
 In this example, you want data that is older than 7 days in the target index pattern `kibana_sample_data_logs`
 to roll up once a day into the index `rollup_logstash`. You’ll bucket the
@@ -127,19 +127,36 @@ rollup index, or you can remove or archive it using <<creating-index-lifecycle-p
 ==== Visualize the rolled up data
 
 Your next step is to visualize your rolled up data in a vertical bar chart.
-Most visualizations support rolled up data, with the exception of Timelion, TSVB, and Vega visualizations.
+Most visualizations support rolled up data, with the exception of Timelion and Vega visualizations.
 
-Using the information from the example rollup configuration,
-you can use `rollup_logstash` to match the rolled up index pattern,
-and `kibana_sample_data_logs` to match the index pattern for raw data.
+
+. Create the rollup index pattern in *Management > Index Patterns* so you can
+select your rolled up data for visualizations. Click *Create index pattern*, and select *Rollup index pattern* from the dropdown.
++
+[role="screenshot"]
+image::images/management-rollup-index-pattern.png[][Create rollup index pattern]
+
+. Enter *rollup_logstash,kibana_sample_logs* as your *Index Pattern* and `@timestamp`
+as the *Time Filter field name*.
++
 The notation for a combination index pattern with both raw and rolled up data
-is `rollup_logstash,kibana_sample_data_logs`.
+is `rollup_logstash,kibana_sample_data_logs`. In this index pattern, `rollup_logstash`
+matches the rolled up index pattern and `kibana_sample_data_logs` matches the index
+pattern for raw data.
 
+. Go to *Visualize* and create a vertical bar chart. Choose `rollup_logstash,kibana_sample_data_logs`
+as your source to see both the raw and rolled up data.
++
 [role="screenshot"]
-image::images/management_rollup_job_vis.png[][Visualization of rolled up data]
+image::images/management-create-rollup-bar-chart.png[][Create visualization of rolled up data]
 
-You can then create a dashboard that contains visualizations of the rolled up
-data, raw data, or both. For more information, refer to <<rollup-index-pattern,rolled up data>>.
+. Look at the data in your visualization.
++
+[role="screenshot"]
+image::images/management_rollup_job_vis.png[][Visualization of rolled up data]
 
+. Optionally, create a dashboard that contains visualizations of the rolled up
+data, raw data, or both.
++
 [role="screenshot"]
 image::images/management_rollup_job_dashboard.png[][Dashboard with rolled up data]

docs/user/alerting/index.asciidoc

@@ -160,7 +160,7 @@ If you are using an *on-premises* Elastic Stack deployment:
 
 If you are using an *on-premises* Elastic Stack deployment with <<using-kibana-with-security, *security*>>:
 
-* Transport Layer Security (TLS) must be configured for communication <<configuring-tls-kib-es, between {es} and {kib}>>. {kib} alerting uses <<api-keys, API keys>> to secure background alert checks and actions, and API keys require {ref}/configuring-tls.html#tls-http[TLS on the HTTP interface].
+* You must enable Transport Layer Security (TLS) for communication <<configuring-tls-kib-es, between {es} and {kib}>>. {kib} alerting uses <<api-keys, API keys>> to secure background alert checks and actions, and API keys require {ref}/configuring-tls.html#tls-http[TLS on the HTTP interface]. A proxy will not suffice.
 
 [float]
 [[alerting-security]]

docs/user/dashboard.asciidoc

@@ -160,7 +160,7 @@ When you're finished adding and arranging the panels, save the dashboard.
 . Enter the dashboard *Title* and optional *Description*, then *Save* the dashboard.
 
 [[sharing-dashboards]]
-=== Share the dashboard
+== Share the dashboard
 
 [[embedding-dashboards]]
 Share your dashboard outside of {kib}.

docs/visualize/lens.asciidoc

@@ -4,60 +4,51 @@
 
 beta[]
 
-*Lens* provides you with a simple and fast way to create visualizations from your {es} data. With Lens, you can:
+*Lens* is a simple and fast way to create visualizations of your {es} data. With *Lens*, 
+you drag and drop your data fields onto the visualization builder pane, and *Lens* automatically generates 
+a visualization that best displays your data.
 
-* Quickly build visualizations by dragging and dropping data fields.
+With Lens, you can:
 
-* Understand your data with a summary view on each field.
+* Explore your data in just a few clicks.
 
-* Easily change the visualization type by selecting the automatically generated visualization suggestions.
+* Create visualizations with multiple layers and indices.
 
-* Save your visualization for use in a dashboard.
+* Use the automatically generated visualization suggestions to change the visualization type.
 
-[float]
-[[drag-drop]]
-=== Drag and drop
-
-The panel shows the data fields for the selected time period. When
-you drag a field from the data panel, Lens highlights where you can drop that field. The first time you drag a data field,
-you'll see two places highlighted in green:
-
-* The visualization builder pane
+* Add your visualizations to dashboards and Canvas workpads.
 
-* The *X-axis* or *Y-axis* fields
-
-You can incorporate many fields into your visualization, and Lens uses heuristics to decide how
-to apply each one to the visualization.
+To get started with *Lens*, click a field in the data panel, then drag and drop the field on a highlighted area.
 
 [role="screenshot"]
 image::images/lens_drag_drop.gif[]
 
-TIP: Drag-and-drop capabilities are available only when Lens knows how to use the data. You can still customize
-your visualization if Lens is unable to make a suggestion.
+You can incorporate many fields into your visualization, and Lens uses heuristics to decide how to apply each one to the visualization.
+
+TIP: Drag-and-drop capabilities are available only when Lens knows how to use the data. If *Lens* is unable to automatically generate a visualization,
+you can still configure the customization options for your visualization.
 
 [float]
 [[apply-lens-filters]]
-==== Find the right data
+==== Filter the data panel fields
 
-Lens shows you fields based on the <<index-patterns, index patterns>> you have defined in
-{kib}, and the current time range. When you change the index pattern or time filter,
-the list of fields are updated.
+The fields in the data panel based on your selected <<index-patterns, index pattern>>, and the <<set-time-filter,time filter>>. 
 
-To narrow the list of fields, you can:
+To change the index pattern, click it, then select a new one. The fields in the data panel automatically update.
 
-* Enter the field name in *Search field names*.
+To filter the fields in the data panel:
 
-* Click *Filter by type*, then select the filter. You can also select *Only show fields with data*
-to show the full list of fields from the index pattern.
+* Enter the name in *Search field names*.
+
+* Click *Filter by type*, then select the filter. To show all of the fields in the index pattern, deselect *Only show fields with data*.
 
 [float]
 [[view-data-summaries]]
 ==== Data summaries
 
-To help you decide exactly the data you want to display, get a quick summary of each data field.
-The summary shows the distribution of values in the time range.
+To help you decide exactly the data you want to display, get a quick summary of each field. The summary shows the distribution of values in the time range.
 
-To view the data information, navigate to a data field, then click *i*.
+To view the field summary information, navigate to the field, then click *i*.
 
 [role="screenshot"]
 image::images/lens_data_info.png[]
@@ -66,46 +57,40 @@ image::images/lens_data_info.png[]
 [[change-the-visualization-type]]
 ==== Change the visualization type
 
-With Lens, you are no longer required to build each visualization from scratch. Lens allows
-you to switch between any supported chart type at any time. Lens also provides
-suggestions, which are shortcuts to alternate visualizations based on the data you have.
+*Lens* enables you to switch between any supported visualization type at any time.
 
-You can switch between suggestions without losing your previous state:
+*Suggestions* are shortcuts to alternate visualizations that *Lens* generates for you.
 
 [role="screenshot"]
 image::images/lens_suggestions.gif[]
 
-If you want to switch to a chart type that is not suggested, click the chart type,
-then select a chart type. When there is an exclamation point (!)
-next to a chart type, Lens is unable to transfer your current data, but
+If you'd like to use a visualization type that is not suggested, click the visualization type,
+then select a new one. 
+
+[role="screenshot"]
+image::images/lens_viz_types.png[]
+
+When there is an exclamation point (!)
+next to a visualization type, Lens is unable to transfer your data, but
 still allows you to make the change.
 
 [float]
 [[customize-operation]]
-==== Customize the data for your visualization
+==== Change the aggregation and labels
 
 Lens allows some customizations of the data for each visualization.
 
-. Click the index pattern name, then select the new index pattern.
-+
-If there is a match, Lens displays the new data. All fields that do not match the index pattern are removed.
-
-. Change the data field options, such as the aggregation or label.
-
-.. Click *Drop a field here* or the field name in the column.
+. Click *Drop a field here* or the field name in the column.
 
-.. Change the options that appear depending on the type of field.
+. Change the options that appear depending on the type of field.
 
 [float]
 [[layers]]
-==== Layers in bar, line, and area charts
+==== Add layers and indices
 
-The bar, line, and area charts allow you to layer two different series. To add a layer, click *+*.
+Bar, line, and area charts allow you to visualize multiple data layers and indices so that you can compare and analyze data from multiple sources.
 
-To remove a layer, click the chart icon next to the index name:
-
-[role="screenshot"]
-image::images/lens_remove_layer.png[]
+To add a layer, click *+*, then drag and drop the fields for the new layer. To view a different index, click it, then select a new one.
 
 [float]
 [[lens-tutorial]]
@@ -125,50 +110,48 @@ To start, you'll need to add the <<add-sample-data, sample ecommerce data>>.
 
 Drag and drop your data onto the visualization builder pane.
 
-. Open *Visualize*, then click *Create visualization*.
+. From the menu, click *Visualize*, then click *Create visualization*.
 
 . On the *New Visualization* window, click *Lens*.
 
-. Select the *kibana_sample_data_ecommerce* index.
+. Select the *kibana_sample_data_ecommerce* index pattern.
 
-. Click image:images/time-filter-calendar.png[], then click *Last 7 days*. The list of data fields are updated.
+. Click image:images/time-filter-calendar.png[], then click *Last 7 days*. 
++
+The fields in the data panel update.
 
 . Drag and drop the *taxful_total_price* data field to the visualization builder pane.
 +
 [role="screenshot"]
 image::images/lens_tutorial_1.png[Lens tutorial]
 
-Lens has taken your intent to see *taxful_total_price* and added in the *order_date* field to show
-average order prices over time.
+To display the average order prices over time, *Lens* automatically added in *order_date* field.
 
 To break down your data, drag the *category.keyword* field to the visualization builder pane. Lens
-understands that you want to show the top categories and compare them across the dates,
-and creates a chart that compares the sales for each of the top 3 categories:
+knows that you want to show the top categories and compare them across the dates,
+and creates a chart that compares the sales for each of the top three categories:
 
 [role="screenshot"]
 image::images/lens_tutorial_2.png[Lens tutorial]
 
 [float]
 [[customize-lens-visualization]]
-==== Further customization
+==== Customize your visualization
 
-Customize your visualization to look exactly how you want.
+Make your visualization look exactly how you want with the customization options.
 
 . Click *Average of taxful_total_price*.
 
-.. Change the *Label* to `Sales`, or a name that you prefer for the data.
+.. Change the *Label* to `Sales`.
 
 . Click *Top values of category.keyword*.
 
-.. Increase *Number of values* to `10`. The visualization updates in the background to show there are only
+.. Change *Number of values* to `10`. The visualization updates to show there are only
 six available categories.
++
+Look at the *Suggestions*. An area chart is not an option, but for sales data, a stacked area chart might be the best option.
 
-. Look at the suggestions. None of them show an area chart, but for sales data, a stacked area chart
-might make sense. To switch the chart type:
-
-.. Click *Stacked bar chart* in the column.
-
-.. Click *Stacked area*.
+. To switch the chart type, click *Stacked bar chart* in the column, then click *Stacked area* from the *Select a visualizations* window.
 +
 [role="screenshot"]
 image::images/lens_tutorial_3.png[Lens tutorial]
@@ -177,6 +160,6 @@ image::images/lens_tutorial_3.png[Lens tutorial]
 [[lens-tutorial-next-steps]]
 ==== Next steps
 
-Now that you've created your visualization in Lens, you can add it to a Dashboard.
+Now that you've created your visualization, you can add it to a dashboard or Canvas workpad.
 
-For more information, see <<dashboard,Dashboard>>.
+For more information, refer to <<dashboard,Dashboard>> or <<canvas,Canvas>>.

src/plugins/console/server/lib/spec_definitions/json/generated/bulk.json

@@ -13,7 +13,8 @@
       "_source": [],
       "_source_excludes": [],
       "_source_includes": [],
-      "pipeline": ""
+      "pipeline": "",
+      "prefer_v2_templates": "__flag__"
     },
     "methods": [
       "POST",

src/plugins/console/server/lib/spec_definitions/json/generated/cluster.delete_voting_config_exclusions.json

@@ -0,0 +1,14 @@
+{
+  "cluster.delete_voting_config_exclusions": {
+    "url_params": {
+      "wait_for_removal": "__flag__"
+    },
+    "methods": [
+      "DELETE"
+    ],
+    "patterns": [
+      "_cluster/voting_config_exclusions"
+    ],
+    "documentation": "https://www.elastic.co/guide/en/elasticsearch/reference/master/voting-config-exclusions.html"
+  }
+}

src/plugins/console/server/lib/spec_definitions/json/generated/cluster.exists_component_template.json

@@ -0,0 +1,15 @@
+{
+  "cluster.exists_component_template": {
+    "url_params": {
+      "master_timeout": "",
+      "local": "__flag__"
+    },
+    "methods": [
+      "HEAD"
+    ],
+    "patterns": [
+      "_component_template/{name}"
+    ],
+    "documentation": "https://www.elastic.co/guide/en/elasticsearch/reference/master/indices-component-templates.html"
+  }
+}

src/plugins/console/server/lib/spec_definitions/json/generated/cluster.get_component_template.json

@@ -0,0 +1,16 @@
+{
+  "cluster.get_component_template": {
+    "url_params": {
+      "master_timeout": "",
+      "local": "__flag__"
+    },
+    "methods": [
+      "GET"
+    ],
+    "patterns": [
+      "_component_template",
+      "_component_template/{name}"
+    ],
+    "documentation": "https://www.elastic.co/guide/en/elasticsearch/reference/master/indices-component-templates.html"
+  }
+}

src/plugins/console/server/lib/spec_definitions/json/generated/cluster.post_voting_config_exclusions.json

@@ -0,0 +1,16 @@
+{
+  "cluster.post_voting_config_exclusions": {
+    "url_params": {
+      "node_ids": "",
+      "node_names": "",
+      "timeout": ""
+    },
+    "methods": [
+      "POST"
+    ],
+    "patterns": [
+      "_cluster/voting_config_exclusions"
+    ],
+    "documentation": "https://www.elastic.co/guide/en/elasticsearch/reference/master/voting-config-exclusions.html"
+  }
+}