Fix sphinx warnings (#9142)

* Fix 'Configuration Settings' link in write_options.md

* Fix multiple reference definition in scalar_functions.md

* Fix typo: 'contcat_ws' to 'concat_ws' in scalar_functions.md

* Add missing section 'array_contains' in scalar_functions.md

* Fix reference warnings in operators.md

* Remove unsupported syntax 'csv' from code blocks of adding-udfs.md

* Fix syntax tag in example-usage.md

* Change syntax tag of code blocks that contain multiple syntaxes of
cli.md

* Remove 'sql' syntax tags from code blocks

* Remove leading ❯ in sql code blocks

docs/source/library-user-guide/adding-udfs.md

@@ -244,7 +244,7 @@ At this point, you can use the `smooth_it` function in your query:
 
 For example, if we have a [`cars.csv`](https://github.com/apache/arrow-datafusion/blob/main/datafusion/core/tests/data/cars.csv) whose contents like
 
-```csv
+```
 car,speed,time
 red,20.0,1996-04-12T12:05:03.000000000
 red,20.3,1996-04-12T12:05:04.000000000
@@ -279,7 +279,7 @@ df.show().await?;
 
 the output will be like:
 
-```csv
+```
 +-------+-------+--------------------+---------------------+
 | car   | speed | smooth_speed       | time                |
 +-------+-------+--------------------+---------------------+

docs/source/user-guide/cli.md

@@ -198,7 +198,7 @@ You can also query directly from the remote location via HTTP(S) without
 registering the location as a table
 
 ```sql
-❯ select count(*) from 'https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hits_1.parquet'
+select count(*) from 'https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hits_1.parquet'
 +----------+
 | COUNT(*) |
 +----------+
@@ -285,7 +285,7 @@ LOCATION 'https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hit
 ```
 
 ```sql
-❯ select count(*) from hits;
+select count(*) from hits;
 +----------+
 | COUNT(*) |
 +----------+
@@ -583,7 +583,7 @@ For example, to set `datafusion.execution.batch_size` to `1024` you
 would set the `DATAFUSION_EXECUTION_BATCH_SIZE` environment variable
 appropriately:
 
-```SQL
+```shell
 $ DATAFUSION_EXECUTION_BATCH_SIZE=1024 datafusion-cli
 DataFusion CLI v12.0.0
 ❯ show all;
@@ -603,10 +603,9 @@ DataFusion CLI v12.0.0
 
 You can change the configuration options using `SET` statement as well
 
-```SQL
+```shell
 $ datafusion-cli
 DataFusion CLI v13.0.0
-
 ❯ show datafusion.execution.batch_size;
 +---------------------------------+---------+
 | name                            | value   |

docs/source/user-guide/example-usage.md

@@ -228,7 +228,7 @@ codegen-units = 1
 
 Then, in `main.rs.` update the memory allocator with the below after your imports:
 
-```rust,ignore
+```rust ,ignore
 use datafusion::prelude::*;
 
 #[global_allocator]

docs/source/user-guide/expressions.md

@@ -152,7 +152,7 @@ but these operators always return a `bool` which makes them not work with the ex
 Unlike to some databases the math functions in Datafusion works the same way as Rust math functions, avoiding failing on corner cases e.g
 
 ```sql
-❯ select log(-1), log(0), sqrt(-1);
+select log(-1), log(0), sqrt(-1);
 +----------------+---------------+-----------------+
 | log(Int64(-1)) | log(Int64(0)) | sqrt(Int64(-1)) |
 +----------------+---------------+-----------------+

docs/source/user-guide/sql/data_types.md

@@ -29,7 +29,7 @@ You can see the corresponding Arrow type for any SQL expression using
 the `arrow_typeof` function. For example:
 
 ```sql
-❯ select arrow_typeof(interval '1 month');
+select arrow_typeof(interval '1 month');
 +-------------------------------------+
 | arrowtypeof(IntervalYearMonth("1")) |
 +-------------------------------------+
@@ -41,7 +41,7 @@ You can cast a SQL expression to a specific Arrow type using the `arrow_cast` fu
 For example, to cast the output of `now()` to a `Timestamp` with second precision:
 
 ```sql
-❯ select arrow_cast(now(), 'Timestamp(Second, None)');
+select arrow_cast(now(), 'Timestamp(Second, None)');
 +---------------------+
 | now()               |
 +---------------------+

docs/source/user-guide/sql/ddl.md

@@ -188,7 +188,7 @@ LOCATION '/path/to/aggregate_test_100.csv';
 
 Where `WITH ORDER` clause specifies the sort order:
 
-```sql
+```
 WITH ORDER (sort_expression1 [ASC | DESC] [NULLS { FIRST | LAST }]
          [, sort_expression2 [ASC | DESC] [NULLS { FIRST | LAST }] ...])
 ```

docs/source/user-guide/sql/explain.md

@@ -30,7 +30,7 @@ EXPLAIN [ANALYZE] [VERBOSE] statement
 Shows the execution plan of a statement.
 If you need more detailed output, use `EXPLAIN VERBOSE`.
 
-```sql
+```
 EXPLAIN SELECT SUM(x) FROM table GROUP BY b;
 +---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------+
 | plan_type     | plan                                                                                                                                                           |
@@ -54,7 +54,7 @@ EXPLAIN SELECT SUM(x) FROM table GROUP BY b;
 Shows the execution plan and metrics of a statement.
 If you need more information output, use `EXPLAIN ANALYZE VERBOSE`.
 
-```sql
+```
 EXPLAIN ANALYZE SELECT SUM(x) FROM table GROUP BY b;
 +-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+
 | plan_type         | plan                                                                                                                                                      |

docs/source/user-guide/sql/information_schema.md

@@ -55,7 +55,7 @@ or
 To show the current session configuration options, use the `SHOW ALL` command or the `information_schema.df_settings` view:
 
 ```sql
-❯ select * from information_schema.df_settings;
+select * from information_schema.df_settings;
 
 +-------------------------------------------------+---------+
 | name                                            | setting |