[hotfix] [docs] Fix typo in Table SQL doc

This closes apache#7491.

docs/dev/table/sourceSinks.md

@@ -205,7 +205,7 @@ DefinedRowtimeAttributes {
 
 * `getRowtimeAttributeDescriptors()`: Returns a list of `RowtimeAttributeDescriptor`. A `RowtimeAttributeDescriptor` describes a rowtime attribute with the following properties:
  * `attributeName`: The name of the rowtime attribute in the table schema. The field must be defined with type `Types.SQL_TIMESTAMP`.
- * `timestampExtractor`: The timestamp extractor extracts the timestamp from a record with the return type. For example, it can convert convert a Long field into a timestamp or parse a String-encoded timestamp. Flink comes with a set of built-in `TimestampExtractor` implementation for common use cases. It is also possible to provide a custom implementation.
+ * `timestampExtractor`: The timestamp extractor extracts the timestamp from a record with the return type. For example, it can convert a Long field into a timestamp or parse a String-encoded timestamp. Flink comes with a set of built-in `TimestampExtractor` implementation for common use cases. It is also possible to provide a custom implementation.
  * `watermarkStrategy`: The watermark strategy defines how watermarks are generated for the rowtime attribute. Flink comes with a set of built-in `WatermarkStrategy` implementations for common use cases. It is also possible to provide a custom implementation.
 
 <span class="label label-danger">Attention</span> Although the `getRowtimeAttributeDescriptors()` method returns a list of descriptors, only a single rowtime attribute is support at the moment. We plan to remove this restriction in the future and support tables with more than one rowtime attribute.

docs/dev/table/sql.md

@@ -93,7 +93,7 @@ val result2 = tableEnv.sqlQuery(
 
 // SQL update with a registered table
 // create and register a TableSink
-TableSink csvSink = new CsvTableSink("/path/to/file", ...)
+val csvSink: CsvTableSink = new CsvTableSink("/path/to/file", ...)
 val fieldNames: Array[String] = Array("product", "amount")
 val fieldTypes: Array[TypeInformation[_]] = Array(Types.STRING, Types.INT)
 tableEnv.registerTableSink("RubberOrders", fieldNames, fieldTypes, csvSink)