Github user dongjoon-hyun commented on a diff in the pull request:

    https://github.com/apache/spark/pull/14353#discussion_r72185905
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
 ---
    @@ -33,13 +33,24 @@ case class CreateArray(children: Seq[Expression]) 
extends Expression {
     
       override def foldable: Boolean = children.forall(_.foldable)
     
    -  override def checkInputDataTypes(): TypeCheckResult =
    -    TypeUtils.checkForSameTypeInputExpr(children.map(_.dataType), 
"function array")
    +  override def checkInputDataTypes(): TypeCheckResult = {
    +    if (children.map(_.dataType).forall(_.isInstanceOf[DecimalType])) {
    +      TypeCheckResult.TypeCheckSuccess
    --- End diff --
    
    And Finally, the following is the codegen result. Please see the line 29.
    ```scala
    scala> sql("explain codegen select array(0.001, 
0.02)[1]").collect().foreach(println)
    [Found 1 WholeStageCodegen subtrees.
    == Subtree 1 / 1 ==
    *Project [0.02 AS array(0.001, 0.02)[1]#75]
    +- Scan OneRowRelation[]
    
    Generated code:
    /* 001 */ public Object generate(Object[] references) {
    /* 002 */   return new GeneratedIterator(references);
    /* 003 */ }
    /* 004 */
    /* 005 */ final class GeneratedIterator extends 
org.apache.spark.sql.execution.BufferedRowIterator {
    /* 006 */   private Object[] references;
    /* 007 */   private scala.collection.Iterator inputadapter_input;
    /* 008 */   private UnsafeRow project_result;
    /* 009 */   private 
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder project_holder;
    /* 010 */   private 
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter 
project_rowWriter;
    /* 011 */
    /* 012 */   public GeneratedIterator(Object[] references) {
    /* 013 */     this.references = references;
    /* 014 */   }
    /* 015 */
    /* 016 */   public void init(int index, scala.collection.Iterator inputs[]) 
{
    /* 017 */     partitionIndex = index;
    /* 018 */     inputadapter_input = inputs[0];
    /* 019 */     project_result = new UnsafeRow(1);
    /* 020 */     this.project_holder = new 
org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(project_result, 
0);
    /* 021 */     this.project_rowWriter = new 
org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(project_holder,
 1);
    /* 022 */   }
    /* 023 */
    /* 024 */   protected void processNext() throws java.io.IOException {
    /* 025 */     while (inputadapter_input.hasNext()) {
    /* 026 */       InternalRow inputadapter_row = (InternalRow) 
inputadapter_input.next();
    /* 027 */       Object project_obj = ((Expression) 
references[0]).eval(null);
    /* 028 */       Decimal project_value = (Decimal) project_obj;
    /* 029 */       project_rowWriter.write(0, project_value, 3, 3);
    /* 030 */       append(project_result);
    /* 031 */       if (shouldStop()) return;
    /* 032 */     }
    /* 033 */   }
    ```


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