abhishekrb19 commented on code in PR #16277:
URL: https://github.com/apache/druid/pull/16277#discussion_r1563058032


##########
docs/development/extensions-core/stats.md:
##########
@@ -125,8 +126,24 @@ To acquire standard deviation from variance, user can use 
"stddev" post aggregat
 }
 ```
 
+#### Druid SQL

Review Comment:
   It would be preferable to move the SQL query section before the native query 
section since SQL is more widely used and familiar to users. Same suggestion 
for all the SQL sections in this page.



##########
docs/development/extensions-core/stats.md:
##########
@@ -181,3 +206,14 @@ To acquire standard deviation from variance, user can use 
"stddev" post aggregat
   ]
 }
 ```
+
+#### Druid SQL
+
+```SQL
+SELECT
+  alias,
+  VARIANCE("index") AS index_var
+FROM "testing"
+WHERE TIME_IN_INTERVAL(__time, '2016-03-06T00:00:00/2016-03-06T23:59:59')

Review Comment:
   End date is exclusive, so I would think this should be start of the next 
day? Same for the native query:
   ```suggestion
   WHERE TIME_IN_INTERVAL(__time, '2016-03-06/2016-03-07')
   ```



##########
docs/development/extensions-core/stats.md:
##########
@@ -154,8 +171,16 @@ To acquire standard deviation from variance, user can use 
"stddev" post aggregat
 }
 ```
 
+#### Druid SQL
+
+```SQL
+There is no equivalent SQL for this query.

Review Comment:
   Perhaps move this text outside the sql codeblock?



##########
docs/development/extensions-core/stats.md:
##########
@@ -125,8 +126,24 @@ To acquire standard deviation from variance, user can use 
"stddev" post aggregat
 }
 ```
 
+#### Druid SQL
+
+```SQL
+SELECT 
+  DATE_TRUNC('day', __time),
+  VARIANCE("index_var")
+FROM 
+  "testing"
+WHERE
+  TIME_IN_INTERVAL(__time, '2013-03-01T00:00:00.000/2016-03-20T00:00:00.000')
+GROUP BY
+  DATE_TRUNC('day', __time)

Review Comment:
   Small simplification:
   ```suggestion
   SELECT 
     DATE_TRUNC('day', __time),
     VARIANCE("index_var") AS index_var
   FROM "testing"
   WHERE TIME_IN_INTERVAL(__time, '2013-03-01/2016-03-20')
   GROUP BY 1
   ```



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