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From michalsenkyr <...@git.apache.org>
Subject [GitHub] spark pull request #16541: [SPARK-19088][SQL] Optimize sequence type deseria...
Date Fri, 13 Jan 2017 01:14:39 GMT
Github user michalsenkyr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16541#discussion_r95921320
  
    --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala
---
    @@ -589,6 +590,171 @@ case class MapObjects private(
       }
     }
     
    +object CollectObjects {
    +  private val curId = new java.util.concurrent.atomic.AtomicInteger()
    +
    +  /**
    +   * Construct an instance of CollectObjects case class.
    +   *
    +   * @param function The function applied on the collection elements.
    +   * @param inputData An expression that when evaluated returns a collection object.
    +   * @param elementType The data type of elements in the collection.
    +   * @param collClass The type of the resulting collection.
    +   */
    +  def apply(
    +             function: Expression => Expression,
    +             inputData: Expression,
    +             elementType: DataType,
    +             collClass: Class[_]): CollectObjects = {
    +    val loopValue = "CollectObjects_loopValue" + curId.getAndIncrement()
    +    val loopIsNull = "CollectObjects_loopIsNull" + curId.getAndIncrement()
    +    val loopVar = LambdaVariable(loopValue, loopIsNull, elementType)
    +    val builderValue = "CollectObjects_builderValue" + curId.getAndIncrement()
    +    CollectObjects(loopValue, loopIsNull, elementType, function(loopVar), inputData,
    +      collClass, builderValue)
    +  }
    +}
    +
    +/**
    + * An equivalent to the [[MapObjects]] case class but returning an ObjectType containing
    + * a Scala collection constructed using the associated builder, obtained by calling `newBuilder`
    + * on the collection's companion object.
    + *
    + * @param loopValue the name of the loop variable that used when iterate the collection,
and used
    + *                  as input for the `lambdaFunction`
    + * @param loopIsNull the nullity of the loop variable that used when iterate the collection,
and
    + *                   used as input for the `lambdaFunction`
    + * @param loopVarDataType the data type of the loop variable that used when iterate the
collection,
    + *                        and used as input for the `lambdaFunction`
    + * @param lambdaFunction A function that take the `loopVar` as input, and used as lambda
function
    + *                       to handle collection elements.
    + * @param inputData An expression that when evaluated returns a collection object.
    + * @param collClass The type of the resulting collection.
    + * @param builderValue The name of the builder variable used to construct the resulting
collection.
    + */
    +case class CollectObjects private(
    +    loopValue: String,
    +    loopIsNull: String,
    +    loopVarDataType: DataType,
    +    lambdaFunction: Expression,
    +    inputData: Expression,
    +    collClass: Class[_],
    +    builderValue: String) extends Expression with NonSQLExpression {
    +
    +  override def nullable: Boolean = inputData.nullable
    +
    +  override def children: Seq[Expression] = lambdaFunction :: inputData :: Nil
    +
    +  override def eval(input: InternalRow): Any =
    +    throw new UnsupportedOperationException("Only code-generated evaluation is supported")
    +
    +  override def dataType: DataType = ObjectType(collClass)
    +
    +  override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
    +    val collObjectName = s"${collClass.getName}$$.MODULE$$"
    +    val getBuilderVar = s"$collObjectName.newBuilder()"
    --- End diff --
    
    I added the `Seq` builder fallback. However, there is presently no collection that Spark
supports that doesn't provide a builder. You can try it out on your branch with `Range`.


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