[MINOR][DOCS] Update doc sql/README.md

### What changes were proposed in this pull request?
The pr aims to update doc `sql/README.md`.

### Why are the changes needed?
After apache#41426, We have added a subproject `API` to our `SQL moudle`, so we need to update the doc `sql/README.md` synchronously.

### Does this PR introduce _any_ user-facing change?
Yes, make the doc clearer and more accurate.

### How was this patch tested?
Manually test.

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes apache#47476 from panbingkun/minor_docs.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>

Author: panbingkun

docs/sql-ref-syntax-aux-show-views.md

@@ -99,7 +99,7 @@ SHOW VIEWS FROM default LIKE 'sam*';
 | default   | sam1       | false        |
 +-----------+------------+--------------+
 
--- List all views from the current database matching the pattern `sam|suj｜temp*`
+-- List all views from the current database matching the pattern `sam|suj|temp*`
 SHOW VIEWS LIKE 'sam|suj|temp*';
 +-------------+------------+--------------+
 | namespace   | viewName   | isTemporary  |

sql/README.md

@@ -3,7 +3,8 @@ Spark SQL
 
 This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
 
-Spark SQL is broken up into four subprojects:
+Spark SQL is broken up into five subprojects:
+ - API (sql/api) - Includes some public API like DataType, Row, etc. This component can be shared between Catalyst and Spark Connect client.
  - Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  - Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs.  This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  - Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.