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

    https://github.com/apache/spark/pull/13909#discussion_r93839767
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
 ---
    @@ -56,33 +57,107 @@ case class CreateArray(children: Seq[Expression]) 
extends Expression {
       }
     
       override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
    -    val arrayClass = classOf[GenericArrayData].getName
    -    val values = ctx.freshName("values")
    -    ctx.addMutableState("Object[]", values, s"this.$values = null;")
    -
    -    ev.copy(code = s"""
    -      this.$values = new Object[${children.size}];""" +
    -      ctx.splitExpressions(
    -        ctx.INPUT_ROW,
    -        children.zipWithIndex.map { case (e, i) =>
    -          val eval = e.genCode(ctx)
    -          eval.code + s"""
    -            if (${eval.isNull}) {
    -              $values[$i] = null;
    -            } else {
    -              $values[$i] = ${eval.value};
    -            }
    -           """
    -        }) +
    -      s"""
    -        final ArrayData ${ev.value} = new $arrayClass($values);
    -        this.$values = null;
    -      """, isNull = "false")
    +    val et = dataType.elementType
    +    val evals = children.map(e => e.genCode(ctx))
    +    val (preprocess, assigns, postprocess, arrayData, array) =
    +      GenArrayData.genCodeToCreateArrayData(ctx, et, evals, true)
    +    ev.copy(
    +      code = preprocess + ctx.splitExpressions(ctx.INPUT_ROW, assigns) + 
postprocess,
    +      value = arrayData,
    +      isNull = "false")
       }
     
       override def prettyName: String = "array"
     }
     
    +private [sql] object GenArrayData {
    +  /**
    +   * Return Java code pieces based on DataType and isPrimitive to allocate 
ArrayData class
    +   *
    +   * @param ctx a [[CodegenContext]]
    +   * @param elementType data type of an underlying array
    +   * @param elementsCode a set of [[ExprCode]] for each element of an 
underlying array
    +   * @return (code pre-assignments, assignments to each array elements, 
code post-assignments,
    +   *           arrayData name, underlying array name)
    +   */
    +  def genCodeToCreateArrayData(
    +      ctx: CodegenContext,
    +      elementType: DataType,
    +      elementsCode: Seq[ExprCode],
    +      allowNull: Boolean): (String, Seq[String], String, String, String) = 
{
    +    val arrayName = ctx.freshName("array")
    +    val arrayDataName = ctx.freshName("arrayData")
    +    val numElements = elementsCode.length
    +
    +    if (!ctx.isPrimitiveType(elementType)) {
    +      val arrayClass = classOf[ArrayData].getName
    +      val genericArrayClass = classOf[GenericArrayData].getName
    +      ctx.addMutableState("Object[]", arrayName,
    +        s"this.$arrayName = new Object[${numElements}];")
    +
    +      val assignments = elementsCode.zipWithIndex.map { case (eval, i) =>
    +        val isNullAssignment = if (allowNull) {
    +          s"$arrayName[$i] = null;"
    +        } else {
    +          "throw new RuntimeException(\"Cannot use null as map key!\");"
    +        }
    +        eval.code + s"""
    +         if (${eval.isNull}) {
    +           $isNullAssignment
    +         } else {
    +           $arrayName[$i] = ${eval.value};
    +         }
    +       """
    +      }
    +
    +      /*
    +        TODO: When we declare arrayDataName as GenericArrayData,
    --- End diff --
    
    I think that we could have optimization opportunities if we would update 
Janino. I am planning to submit a PR to Janino.


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