Merge pull request #2647 from MicrosoftDocs/main638849774686677722sync_temp

For protected branch, push strategy should use PR and merge to target branch method to work around git push error

Author: learn-build-service-prod[bot]

data-explorer/kusto/query/extract-function.md

@@ -36,7 +36,27 @@ If there's no match, or the type conversion fails: `null`.
 
 ## Examples
 
-The following example extracts the month from the string `Dates` and returns a table with the date string and the month.
+The following example extract the username, email, age from the string. The regular expressions are used to extract the information.
+
+:::moniker range="azure-data-explorer"
+> [!div class="nextstepaction"]
+> <a href="https://dataexplorer.azure.com/clusters/help/databases/Samples?query=H4sIAAAAAAAAA8tJLVEISa0oUbBVUAotTi2yUvDKz8hzyU%2FVUXDNTczMsVLIAvJT8lMdUisScwtyUvWS83N1FBzTU60UjCyVrLkKijLzShRAWv0Sc1OBxgANK0pMLtGAGqcRHacTq62ppKNgqAO2SVOHC2yyZwqSYgclqG0aMcHamjooqoF2oaiMSdEGyhtA5QFR4bA2wQAAAA%3D%3D" target="_blank">Run the query</a>
+::: moniker-end
+
+```kusto
+let Text = "User: JohnDoe, Email: [email protected], Age: 29";
+print UserName = extract("User: ([^,]+)", 1, Text),
+EmailId = extract(@"Email: (\S+),", 1, Text),
+Age = extract(@"\d+", 0, Text)
+```
+
+**Output**
+
+| UserName | EmailId | Age |
+| --- | --- | --- |
+| JohnDoe | [email protected]	| 29 |
+
+The following example extracts the month from the string `Dates` and returns a table with the date string and the month as int type.
 
 :::moniker range="azure-data-explorer"
 > [!div class="nextstepaction"]
@@ -63,24 +83,6 @@ Dates
 | 21-07-2023 | 7 |
 | 10-03-2022 | 3 |
 
-The following example returns the username from the string. The regular expression `([^,]+)` matches the text following "User: " up to the next comma, effectively extracting the username.
-
-:::moniker range="azure-data-explorer"
-> [!div class="nextstepaction"]
-> <a href="https://dataexplorer.azure.com/clusters/help/databases/Samples?query=H4sIAAAAAAAAA8tJLVEISa0oUbBVUAotTi2yUvDKz8hzyU%2FVUXDNTczMsVLIAvJT8lMdUisScwtyUvWS83N1FBzTU60UjCyVrLkKijLzShRAWv0Sc1OBxgANK0pMLtGAGqcRHacTq62ppKNgqAO2SRMAAQTyB3MAAAA%3D" target="_blank">Run the query</a>
-::: moniker-end
-
-```kusto
-let Text = "User: JohnDoe, Email: [email protected], Age: 29";
-print UserName = extract("User: ([^,]+)", 1, Text)
-```
-
-**Output**
-
-| UserName |
-| --- |
-| JohnDoe |
-
 ## Related content
 
 * [extract-all function](extract-all-function.md)

data-explorer/kusto/query/time-series-analysis.md

@@ -146,7 +146,11 @@ demo_series3
 
 :::image type="content" source="media/time-series-analysis/time-series-seasonality.png" alt-text="Time series seasonality.":::
 
-- Use [series_periods_detect()](series-periods-detect-function.md) to automatically detect the periods in the time series.
+- Use [series_periods_detect()](series-periods-detect-function.md) to automatically detect the periods in the time series, where:
+  - `num`: the time series to analyze
+  - `0.`: the minimum period length in days (0 means no minimum)
+  - `14d/2h`: the maximum period length in days, which is 14 days divided into 2-hour bins
+  - `2`: the number of periods to detect
 - Use [series_periods_validate()](series-periods-validate-function.md) if we know that a metric should have specific distinct period(s) and we want to verify that they exist.
 
 > [!NOTE]