Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2653#discussion_r88338243
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/table.scala
 ---
    @@ -611,6 +612,130 @@ class Table(
       }
     
       /**
    +    * The Cross Apply returns rows form the outer table (table on the left 
of the Apply operator)
    +    * that produces matching values from the table-valued function (which 
is on the right side of
    +    * the operator).
    +    *
    +    * The Cross Apply is equivalent to Inner Join, but it works with a 
table-valued function.
    +    *
    +    * Example:
    +    *
    +    * {{{
    +    *   class MySplitUDTF extends TableFunction[String] {
    +    *     def eval(str: String): Unit = {
    +    *       str.split("#").foreach(collect)
    +    *     }
    +    *   }
    +    *
    +    *   val split = new MySplitUDTF()
    +    *   table.crossApply(split('c).as('s)).select('a,'b,'c,'s)
    +    * }}}
    +    */
    +  def crossApply(udtf: TableFunctionCall[_]): Table = {
    +    applyInternal(udtf, JoinType.INNER)
    +  }
    +
    +  /**
    +    * The Cross Apply returns rows form the outer table (table on the left 
of the Apply operator)
    +    * that produces matching values from the table-valued function (which 
is on the right side of
    +    * the operator).
    +    *
    +    * The Cross Apply is equivalent to Inner Join, but it works with a 
table-valued function.
    +    *
    +    * Example:
    +    *
    +    * {{{
    +    *   class MySplitUDTF extends TableFunction[String] {
    +    *     def eval(str: String): Unit = {
    +    *       str.split("#").foreach(collect)
    +    *     }
    +    *   }
    +    *
    +    *   val split = new MySplitUDTF()
    +    *   table.crossApply("split('c') as (s)").select("a, b, c, s")
    +    * }}}
    +    */
    +  def crossApply(udtf: String): Table = {
    +    applyInternal(udtf, JoinType.INNER)
    +  }
    +
    +  /**
    +    * The Cross Apply returns rows form the outer table (table on the left 
of the Apply operator)
    +    * that produces matching values from the table-valued function (which 
is on the right side of
    +    * the operator).
    +    *
    +    * The Cross Apply is equivalent to Inner Join, but it works with a 
table-valued function.
    +    *
    +    * Example:
    +    *
    +    * {{{
    +    *   class MySplitUDTF extends TableFunction[String] {
    +    *     def eval(str: String): Unit = {
    +    *       str.split("#").foreach(collect)
    +    *     }
    +    *   }
    +    *
    +    *   val split = new MySplitUDTF()
    +    *   table.outerApply(split('c).as('s)).select('a,'b,'c,'s)
    +    * }}}
    +    */
    +  def outerApply(udtf: TableFunctionCall[_]): Table = {
    +    applyInternal(udtf, JoinType.LEFT_OUTER)
    +  }
    +
    +  /**
    +    * The Outer Apply returns all the rows from the outer table (table on 
the left of the Apply
    +    * operator), and rows that do not matches the condition from the 
table-valued function (which
    +    * is on the right side of the operator), NULL values are displayed.
    +    *
    +    * The Outer Apply is equivalent to Left Outer Join, but it works with 
a table-valued function.
    +    *
    +    * Example:
    +    *
    +    * {{{
    +    *   val split = new MySplitUDTF()
    +    *   table.crossApply("split('c') as (s)").select("a, b, c, s")
    --- End diff --
    
    `crossApply` should be `outerApply`. Please check the whole docs for this 
method.


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