Merge branch 'main' into keep-vis-config-esql

docs/user/ml/index.asciidoc

@@ -51,7 +51,8 @@ information, refer to {ml-docs}/ml-limitations.html[{ml-cap}].
 
 preview::[]
 
-You can find the data drift view in **{ml-app}** > *{data-viz}* in {kib}. 
+You can find the data drift view in **{ml-app}** > *{data-viz}* in {kib} or by using
+the <<kibana-navigation-search,global search field>>. 
 The data drift view shows you the differences in each field for two 
 different time ranges in a given {data-source}. The view helps you to visualize 
 the changes in your data over time and enables you to understand its behavior 
@@ -167,7 +168,7 @@ It makes it easy to find and investigate causes of unusual spikes or drops by us
 Examine the histogram chart of the log rates for a given {data-source}, and find the reason behind a particular change possibly in millions of log events across multiple fields and values.
 
 You can find log rate analysis embedded in multiple applications.
-In {kib}, you can find it under **{ml-app}** > **AIOps Labs** where you can select the {data-source} or saved search that you want to analyze.
+In {kib}, you can find it under **{ml-app}** > **AIOps Labs** or by using the <<kibana-navigation-search,global search field>>. Here, you can select the {data-source} or saved search that you want to analyze.
 
 [role="screenshot"]
 image::user/ml/images/ml-log-rate-analysis-before.png[Log event histogram chart]
@@ -201,8 +202,8 @@ displays them together with a chart that shows the distribution of each category
 and an example document that matches the category.
 //end::log-pattern-analysis-intro[]
 
-You can find log pattern analysis under **{ml-app}** > **AIOps Labs** where you 
-can select the {data-source} or saved search that you want to analyze, or in 
+You can find log pattern analysis under **{ml-app}** > **AIOps Labs** or by using the <<kibana-navigation-search,global search field>>. 
+Here, you can select the {data-source} or saved search that you want to analyze, or in 
 **Discover** as an available action for any text field.
 
 [role="screenshot"]
@@ -226,8 +227,8 @@ Change point detection uses the
 to detect distribution changes, trend changes, and other statistically 
 significant change points in a metric of your time series data.
 
-You can find change point detection under **{ml-app}** > **AIOps Labs** where 
-you can select the {data-source} or saved search that you want to analyze.
+You can find change point detection under **{ml-app}** > **AIOps Labs** or by using the <<kibana-navigation-search,global search field>>. 
+Here, you can select the {data-source} or saved search that you want to analyze.
 
 [role="screenshot"]
 image::user/ml/images/ml-change-point-detection.png[Change point detection UI]

packages/content-management/table_list_view_table/src/table_list_view.test.tsx

@@ -242,8 +242,8 @@ describe('TableListView', () => {
       const updatedAtValues: Moment[] = [];
 
       const updatedHits = hits.map(({ id, attributes, references }, i) => {
-        const updatedAt = new Date(new Date().setDate(new Date().getDate() - (7 + i)));
-        updatedAtValues.push(moment(updatedAt));
+        const updatedAt = moment().subtract(7 + i, 'days');
+        updatedAtValues.push(updatedAt);
 
         return {
           id,