[SPARK-31636][SQL][DOCS] Remove HTML syntax in SQL reference

dev/deps/spark-deps-hadoop-2.7-hive-1.2

@@ -112,7 +112,7 @@ javax.servlet-api/3.1.0//javax.servlet-api-3.1.0.jar
 javolution/5.5.1//javolution-5.5.1.jar
 jaxb-api/2.2.2//jaxb-api-2.2.2.jar
 jaxb-runtime/2.3.2//jaxb-runtime-2.3.2.jar
-jcl-over-slf4j/1.7.16//jcl-over-slf4j-1.7.16.jar
+jcl-over-slf4j/1.7.30//jcl-over-slf4j-1.7.30.jar
 jdo-api/3.0.1//jdo-api-3.0.1.jar
 jersey-client/2.30//jersey-client-2.30.jar
 jersey-common/2.30//jersey-common-2.30.jar
@@ -135,7 +135,7 @@ json4s-scalap_2.12/3.6.6//json4s-scalap_2.12-3.6.6.jar
 jsp-api/2.1//jsp-api-2.1.jar
 jsr305/3.0.0//jsr305-3.0.0.jar
 jta/1.1//jta-1.1.jar
-jul-to-slf4j/1.7.16//jul-to-slf4j-1.7.16.jar
+jul-to-slf4j/1.7.30//jul-to-slf4j-1.7.30.jar
 kryo-shaded/4.0.2//kryo-shaded-4.0.2.jar
 kubernetes-client/4.7.1//kubernetes-client-4.7.1.jar
 kubernetes-model-common/4.7.1//kubernetes-model-common-4.7.1.jar
@@ -184,8 +184,8 @@ scala-reflect/2.12.10//scala-reflect-2.12.10.jar
 scala-xml_2.12/1.2.0//scala-xml_2.12-1.2.0.jar
 shapeless_2.12/2.3.3//shapeless_2.12-2.3.3.jar
 shims/0.7.45//shims-0.7.45.jar
-slf4j-api/1.7.16//slf4j-api-1.7.16.jar
-slf4j-log4j12/1.7.16//slf4j-log4j12-1.7.16.jar
+slf4j-api/1.7.30//slf4j-api-1.7.30.jar
+slf4j-log4j12/1.7.30//slf4j-log4j12-1.7.30.jar
 snakeyaml/1.24//snakeyaml-1.24.jar
 snappy-java/1.1.7.3//snappy-java-1.1.7.3.jar
 snappy/0.2//snappy-0.2.jar

dev/deps/spark-deps-hadoop-2.7-hive-2.3

@@ -126,7 +126,7 @@ javax.servlet-api/3.1.0//javax.servlet-api-3.1.0.jar
 javolution/5.5.1//javolution-5.5.1.jar
 jaxb-api/2.2.2//jaxb-api-2.2.2.jar
 jaxb-runtime/2.3.2//jaxb-runtime-2.3.2.jar
-jcl-over-slf4j/1.7.16//jcl-over-slf4j-1.7.16.jar
+jcl-over-slf4j/1.7.30//jcl-over-slf4j-1.7.30.jar
 jdo-api/3.0.1//jdo-api-3.0.1.jar
 jersey-client/2.30//jersey-client-2.30.jar
 jersey-common/2.30//jersey-common-2.30.jar
@@ -150,7 +150,7 @@ json4s-scalap_2.12/3.6.6//json4s-scalap_2.12-3.6.6.jar
 jsp-api/2.1//jsp-api-2.1.jar
 jsr305/3.0.0//jsr305-3.0.0.jar
 jta/1.1//jta-1.1.jar
-jul-to-slf4j/1.7.16//jul-to-slf4j-1.7.16.jar
+jul-to-slf4j/1.7.30//jul-to-slf4j-1.7.30.jar
 kryo-shaded/4.0.2//kryo-shaded-4.0.2.jar
 kubernetes-client/4.7.1//kubernetes-client-4.7.1.jar
 kubernetes-model-common/4.7.1//kubernetes-model-common-4.7.1.jar
@@ -198,8 +198,8 @@ scala-reflect/2.12.10//scala-reflect-2.12.10.jar
 scala-xml_2.12/1.2.0//scala-xml_2.12-1.2.0.jar
 shapeless_2.12/2.3.3//shapeless_2.12-2.3.3.jar
 shims/0.7.45//shims-0.7.45.jar
-slf4j-api/1.7.16//slf4j-api-1.7.16.jar
-slf4j-log4j12/1.7.16//slf4j-log4j12-1.7.16.jar
+slf4j-api/1.7.30//slf4j-api-1.7.30.jar
+slf4j-log4j12/1.7.30//slf4j-log4j12-1.7.30.jar
 snakeyaml/1.24//snakeyaml-1.24.jar
 snappy-java/1.1.7.3//snappy-java-1.1.7.3.jar
 spire-macros_2.12/0.17.0-M1//spire-macros_2.12-0.17.0-M1.jar

dev/deps/spark-deps-hadoop-3.2-hive-2.3

@@ -126,7 +126,7 @@ javolution/5.5.1//javolution-5.5.1.jar
 jaxb-api/2.2.11//jaxb-api-2.2.11.jar
 jaxb-runtime/2.3.2//jaxb-runtime-2.3.2.jar
 jcip-annotations/1.0-1//jcip-annotations-1.0-1.jar
-jcl-over-slf4j/1.7.16//jcl-over-slf4j-1.7.16.jar
+jcl-over-slf4j/1.7.30//jcl-over-slf4j-1.7.30.jar
 jdo-api/3.0.1//jdo-api-3.0.1.jar
 jersey-client/2.30//jersey-client-2.30.jar
 jersey-common/2.30//jersey-common-2.30.jar
@@ -148,7 +148,7 @@ json4s-scalap_2.12/3.6.6//json4s-scalap_2.12-3.6.6.jar
 jsp-api/2.1//jsp-api-2.1.jar
 jsr305/3.0.0//jsr305-3.0.0.jar
 jta/1.1//jta-1.1.jar
-jul-to-slf4j/1.7.16//jul-to-slf4j-1.7.16.jar
+jul-to-slf4j/1.7.30//jul-to-slf4j-1.7.30.jar
 kerb-admin/1.0.1//kerb-admin-1.0.1.jar
 kerb-client/1.0.1//kerb-client-1.0.1.jar
 kerb-common/1.0.1//kerb-common-1.0.1.jar
@@ -214,8 +214,8 @@ scala-reflect/2.12.10//scala-reflect-2.12.10.jar
 scala-xml_2.12/1.2.0//scala-xml_2.12-1.2.0.jar
 shapeless_2.12/2.3.3//shapeless_2.12-2.3.3.jar
 shims/0.7.45//shims-0.7.45.jar
-slf4j-api/1.7.16//slf4j-api-1.7.16.jar
-slf4j-log4j12/1.7.16//slf4j-log4j12-1.7.16.jar
+slf4j-api/1.7.30//slf4j-api-1.7.30.jar
+slf4j-log4j12/1.7.30//slf4j-log4j12-1.7.30.jar
 snakeyaml/1.24//snakeyaml-1.24.jar
 snappy-java/1.1.7.3//snappy-java-1.1.7.3.jar
 spire-macros_2.12/0.17.0-M1//spire-macros_2.12-0.17.0-M1.jar

docs/_data/menu-sql.yaml

@@ -156,22 +156,22 @@
                   url: sql-ref-syntax-qry-select-distribute-by.html
                 - text: LIMIT Clause 
                   url: sql-ref-syntax-qry-select-limit.html
+                - text: Common Table Expression
+                  url: sql-ref-syntax-qry-select-cte.html
+                - text: Inline Table
+                  url: sql-ref-syntax-qry-select-inline-table.html
                 - text: JOIN
                   url: sql-ref-syntax-qry-select-join.html
                 - text: Join Hints
                   url: sql-ref-syntax-qry-select-hints.html
+                - text: LIKE Predicate
+                  url: sql-ref-syntax-qry-select-like.html
                 - text: Set Operators
                   url: sql-ref-syntax-qry-select-setops.html
                 - text: TABLESAMPLE
                   url: sql-ref-syntax-qry-sampling.html
                 - text: Table-valued Function
                   url: sql-ref-syntax-qry-select-tvf.html
-                - text: Inline Table
-                  url: sql-ref-syntax-qry-select-inline-table.html
-                - text: Common Table Expression
-                  url: sql-ref-syntax-qry-select-cte.html
-                - text: LIKE Predicate
-                  url: sql-ref-syntax-qry-select-like.html
                 - text: Window Function
                   url: sql-ref-syntax-qry-window.html
             - text: EXPLAIN
@@ -213,20 +213,20 @@
               subitems:
                 - text: SHOW COLUMNS 
                   url: sql-ref-syntax-aux-show-columns.html
+                - text: SHOW CREATE TABLE
+                  url: sql-ref-syntax-aux-show-create-table.html
                 - text: SHOW DATABASES
                   url: sql-ref-syntax-aux-show-databases.html
                 - text: SHOW FUNCTIONS
                   url: sql-ref-syntax-aux-show-functions.html
+                - text: SHOW PARTITIONS
+                  url: sql-ref-syntax-aux-show-partitions.html
                 - text: SHOW TABLE
                   url: sql-ref-syntax-aux-show-table.html
                 - text: SHOW TABLES
                   url: sql-ref-syntax-aux-show-tables.html
                 - text: SHOW TBLPROPERTIES
                   url: sql-ref-syntax-aux-show-tblproperties.html
-                - text: SHOW PARTITIONS 
-                  url: sql-ref-syntax-aux-show-partitions.html
-                - text: SHOW CREATE TABLE
-                  url: sql-ref-syntax-aux-show-create-table.html
                 - text: SHOW VIEWS
                   url: sql-ref-syntax-aux-show-views.html
             - text: CONFIGURATION MANAGEMENT

docs/sql-ref-ansi-compliance.md

@@ -66,7 +66,7 @@ This means that in case an operation causes overflows, the result is the same wi
 On the other hand, Spark SQL returns null for decimal overflows.
 When `spark.sql.ansi.enabled` is set to `true` and an overflow occurs in numeric and interval arithmetic operations, it throws an arithmetic exception at runtime.
 
-{% highlight sql %}
+```sql
 -- `spark.sql.ansi.enabled=true`
 SELECT 2147483647 + 1;
   java.lang.ArithmeticException: integer overflow
@@ -78,7 +78,7 @@ SELECT 2147483647 + 1;
 +----------------+
 |     -2147483648|
 +----------------+
-{% endhighlight %}
+```
 
 ### Type Conversion
 
@@ -89,7 +89,7 @@ On the other hand, `INSERT INTO` syntax throws an analysis exception when the AN
 Currently, the ANSI mode affects explicit casting and assignment casting only.
 In future releases, the behaviour of type coercion might change along with the other two type conversion rules.
 
-{% highlight sql %}
+```sql
 -- Examples of explicit casting
 
 -- `spark.sql.ansi.enabled=true`
@@ -130,7 +130,7 @@ SELECT * FROM t;
 +---+
 |  1|
 +---+
-{% endhighlight %}
+```
 
 ### SQL Functions
 

docs/sql-ref-datatypes.md

@@ -751,7 +751,7 @@ Specifically:
 
 #### Examples
 
-{% highlight sql %}
+```sql
 SELECT double('infinity') AS col;
 +--------+
 |     col|
@@ -824,4 +824,4 @@ SELECT COUNT(*), c2 FROM test GROUP BY c2;
 |        2|-Infinity|
 |        3| Infinity|
 +---------+---------+
-{% endhighlight %}
+```

docs/sql-ref-functions-udf-aggregate.md

@@ -27,46 +27,35 @@ User-Defined Aggregate Functions (UDAFs) are user-programmable routines that act
 
 A base class for user-defined aggregations, which can be used in Dataset operations to take all of the elements of a group and reduce them to a single value.
 
- * IN - The input type for the aggregation.
- * BUF - The type of the intermediate value of the reduction.
- * OUT - The type of the final output result.
+  ***IN*** - The input type for the aggregation.
+
+  ***BUF*** - The type of the intermediate value of the reduction.
+
+  ***OUT*** - The type of the final output result.
+
+* **bufferEncoder: Encoder[BUF]**
 
-<dl>
-  <dt><code><em>bufferEncoder: Encoder[BUF]</em></code></dt>
-  <dd>
     Specifies the Encoder for the intermediate value type.
-  </dd>
-</dl>
-<dl>
-  <dt><code><em>finish(reduction: BUF): OUT</em></code></dt>
-  <dd>
+
+* **finish(reduction: BUF): OUT**
+
     Transform the output of the reduction.
-  </dd>
-</dl>
-<dl>
-  <dt><code><em>merge(b1: BUF, b2: BUF): BUF</em></code></dt>
-  <dd>
+
+* **merge(b1: BUF, b2: BUF): BUF**
+
     Merge two intermediate values.
-  </dd>
-</dl>
-<dl>
-  <dt><code><em>outputEncoder: Encoder[OUT]</em></code></dt>
-  <dd>
+
+* **outputEncoder: Encoder[OUT]**
+
     Specifies the Encoder for the final output value type.
-  </dd>
-</dl>
-<dl>
-  <dt><code><em>reduce(b: BUF, a: IN): BUF</em></code></dt>
-  <dd>
-     Aggregate input value <code>a</code> into current intermediate value. For performance, the function may modify <code>b</code> and return it instead of constructing new object for <code>b</code>.
-  </dd>
-</dl>
-<dl>
-  <dt><code><em>zero: BUF</em></code></dt>
-  <dd>
+
+* **reduce(b: BUF, a: IN): BUF**
+
+     Aggregate input value `a` into current intermediate value. For performance, the function may modify `b` and return it instead of constructing new object for `b`.
+
+* **zero: BUF**
+
     The initial value of the intermediate result for this aggregation.
-  </dd>
-</dl>
 
 ### Examples
 
@@ -95,16 +84,16 @@ For example, a user-defined average for untyped DataFrames can look like:
   {% include_example untyped_custom_aggregation java/org/apache/spark/examples/sql/JavaUserDefinedUntypedAggregation.java%}
 </div>
 <div data-lang="SQL"  markdown="1">
-{% highlight sql %}
+```sql
 -- Compile and place UDAF MyAverage in a JAR file called `MyAverage.jar` in /tmp.
 CREATE FUNCTION myAverage AS 'MyAverage' USING JAR '/tmp/MyAverage.jar';
 
 SHOW USER FUNCTIONS;
--- +------------------+
--- |          function|
--- +------------------+
--- | default.myAverage|
--- +------------------+
++------------------+
+|          function|
++------------------+
+| default.myAverage|
++------------------+
 
 CREATE TEMPORARY VIEW employees
 USING org.apache.spark.sql.json
@@ -113,26 +102,26 @@ OPTIONS (
 );
 
 SELECT * FROM employees;
--- +-------+------+
--- |   name|salary|
--- +-------+------+
--- |Michael|  3000|
--- |   Andy|  4500|
--- | Justin|  3500|
--- |  Berta|  4000|
--- +-------+------+
++-------+------+
+|   name|salary|
++-------+------+
+|Michael|  3000|
+|   Andy|  4500|
+| Justin|  3500|
+|  Berta|  4000|
++-------+------+
 
 SELECT myAverage(salary) as average_salary FROM employees;
--- +--------------+
--- |average_salary|
--- +--------------+
--- |        3750.0|
--- +--------------+
-{% endhighlight %}
++--------------+
+|average_salary|
++--------------+
+|        3750.0|
++--------------+
+```
 </div>
 </div>
 
 ### Related Statements
 
- * [Scalar User Defined Functions (UDFs)](sql-ref-functions-udf-scalar.html)
- * [Integration with Hive UDFs/UDAFs/UDTFs](sql-ref-functions-udf-hive.html)
+* [Scalar User Defined Functions (UDFs)](sql-ref-functions-udf-scalar.html)
+* [Integration with Hive UDFs/UDAFs/UDTFs](sql-ref-functions-udf-hive.html)

docs/sql-ref-functions-udf-hive.md

@@ -28,7 +28,7 @@ Spark SQL supports integration of Hive UDFs, UDAFs and UDTFs. Similar to Spark U
 Hive has two UDF interfaces: [UDF](https://github.com/apache/hive/blob/master/udf/src/java/org/apache/hadoop/hive/ql/exec/UDF.java) and [GenericUDF](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDF.java).
 An example below uses [GenericUDFAbs](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFAbs.java) derived from `GenericUDF`.
 
-{% highlight sql %}
+```sql
 -- Register `GenericUDFAbs` and use it in Spark SQL.
 -- Note that, if you use your own programmed one, you need to add a JAR containig it
 -- into a classpath,
@@ -52,12 +52,12 @@ SELECT testUDF(value) FROM t;
 |           2.0|
 |           3.0|
 +--------------+
-{% endhighlight %}
+```
 
 
 An example below uses [GenericUDTFExplode](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDTFExplode.java) derived from [GenericUDTF](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDF.java).
 
-{% highlight sql %}
+```sql
 -- Register `GenericUDTFExplode` and use it in Spark SQL
 CREATE TEMPORARY FUNCTION hiveUDTF
     AS 'org.apache.hadoop.hive.ql.udf.generic.GenericUDTFExplode';
@@ -79,12 +79,12 @@ SELECT hiveUDTF(value) FROM t;
 |  3|
 |  4|
 +---+
-{% endhighlight %}
+```
 
 Hive has two UDAF interfaces: [UDAF](https://github.com/apache/hive/blob/master/udf/src/java/org/apache/hadoop/hive/ql/exec/UDAF.java) and [GenericUDAFResolver](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFResolver.java).
 An example below uses [GenericUDAFSum](https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFSum.java) derived from `GenericUDAFResolver`.
 
-{% highlight sql %}
+```sql
 -- Register `GenericUDAFSum` and use it in Spark SQL
 CREATE TEMPORARY FUNCTION hiveUDAF
     AS 'org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum';
@@ -105,4 +105,4 @@ SELECT key, hiveUDAF(value) FROM t GROUP BY key;
 |  b|              3|
 |  a|              3|
 +---+---------------+
-{% endhighlight %}
+```