ektravel commented on code in PR #16516:
URL: https://github.com/apache/druid/pull/16516#discussion_r1635434642


##########
docs/release-info/migr-mvd-array.md:
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@@ -0,0 +1,245 @@
+---
+id: migr-mvd-array
+title: "Migration guide: MVDs to arrays"
+sidebar_label: MVDs to arrays
+---
+
+<!--
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+  ~ KIND, either express or implied.  See the License for the
+  ~ specific language governing permissions and limitations
+  ~ under the License.
+-->
+
+
+Druid now supports SQL-compliant [arrays](../querying/arrays.md), and we 
recommend that people use arrays over [multi-value 
dimensions](../querying/multi-value-dimensions.md) (MVDs) whenever possible.
+Use arrays for new projects and complex use cases involving multiple data 
types. Use MVDs for specific use cases, such as operating directly on 
individual elements like regular strings. If your operations involve complete 
arrays of values, including the ordering of values within a row, use arrays 
over MVDs.
+
+## Comparison between arrays and MVDs
+
+The following table compares the general behavior between arrays and MVDs.
+For specific query differences between arrays and MVDs, see [Querying arrays 
and MVDs](#querying-arrays-and-mvds).
+
+|  | Arrays| Multi-value dimensions (MVDs) |
+|---|---|---|
+| Data types | Supports VARCHAR, BIGINT, and DOUBLE types (ARRAY<STRING\>, 
ARRAY<LONG\>, ARRAY<DOUBLE\>) | Only supports arrays of strings (VARCHAR) |
+| SQL compliance | Behaves like standard SQL arrays with SQL-compliant 
behavior | Behaves like SQL VARCHAR rather than standard SQL arrays and 
requires special SQL functions to achieve array-like behavior. See the 
[examples](#examples). |
+| Ingestion | <ul><li>JSON arrays are ingested as Druid arrays</li><li>Managed 
through the query context parameter `arrayIngestMode` in SQL-based ingestion 
(supported options: `array`, `mvd`, `none`). Note that if you set this mode to 
`none`, Druid raises an exception if you try to store any type of 
array.</li></ul> | <ul><li>JSON arrays are ingested as multi-value 
dimensions</li><li>Managed using functions like 
[ARRAY_TO_MV](../querying/sql-functions.md#array_to_mv) in SQL-based 
ingestion</li></ul> |
+| Filtering and grouping | <ul><li>Filters and groupings match the entire 
array value</li><li>Can be used as GROUP BY keys, grouping based on the entire 
array value</li><li>Use the [UNNEST operator](#group-by-array-elements) to 
group based on individual array elements</li></ul> | <ul><li>Filters match any 
value within the array</li><li>Grouping generates a group for each individual 
value, similar to an implicit UNNEST</li></ul> |
+| Conversion | Convert an MVD to an array using 
[MV_TO_ARRAY](../querying/sql-functions.md#mv_to_array) | Convert an array to 
an MVD using [ARRAY_TO_MV](../querying/sql-functions.md#array_to_mv) |
+
+## Querying arrays and MVDs
+
+In SQL queries, Druid operates on arrays differently than MVDs.
+A value in an array column is treated as a single array entity (SQL ARRAY), 
whereas a value in an MVD column is treated as individual strings (SQL VARCHAR).
+This behavior applies even though multiple string values within the same MVD 
are still stored as a single field in the MVD column.
+
+For example, consider the same value, `['a', 'b', 'c']` ingested into an array 
column and an MVD column.
+In your query, you want to filter results by comparing some value with `['a', 
'b', 'c']`.
+
+* For array columns, Druid only returns the row when an equality filter 
matches the entire array.  
+For example: `WHERE "array_column" = ARRAY['a', 'b', 'c']`.
+
+* For MVD columns, Druid returns the row when an equality filter matches any 
value of the MVD.  
+For example, any of the following filters returns the row for the query:  
+`WHERE "mvd_column" = 'a'`  
+`WHERE "mvd_column" = 'b'`  
+`WHERE "mvd_column" = 'c'`
+
+Note this difference between arrays and MVDs when you write queries that 
involve filtering or grouping.

Review Comment:
   Since you explain the difference in the sentence that follows, I think you 
can omit line 61.



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