[NSE-926] Support a UDF: URLDecoder

native-sql-engine/core/src/main/scala/com/intel/oap/expression/ColumnarExpressionConverter.scala

@@ -399,6 +399,29 @@ object ColumnarExpressionConverter extends Logging {
             attributeSeq,
             convertBoundRefToAttrRef = convertBoundRefToAttrRef),
           expr)
+      // Scala UDF.
+      case expr: ScalaUDF if (expr.udfName match {
+        case Some(name) =>
+          ColumnarUDF.isSupportedUDF(name)
+        case None =>
+          false
+      }) =>
+        val children = expr.children.map { expr =>
+          replaceWithColumnarExpression(
+            expr,
+            attributeSeq,
+            convertBoundRefToAttrRef = convertBoundRefToAttrRef)
+        }
+        ColumnarUDF.create(children, expr)
+      // Hive UDF.
+      case expr if (ColumnarUDF.isSupportedUDF(expr.prettyName)) =>
+        val children = expr.children.map { expr =>
+          replaceWithColumnarExpression(
+            expr,
+            attributeSeq,
+            convertBoundRefToAttrRef = convertBoundRefToAttrRef)
+        }
+        ColumnarUDF.create(children, expr)
       case expr =>
         throw new UnsupportedOperationException(
           s" --> ${expr.getClass} | ${expr} is not currently supported.")
@@ -460,6 +483,15 @@ object ColumnarExpressionConverter extends Logging {
         containsSubquery(sr.srcExpr) ||
           containsSubquery(sr.searchExpr) ||
           containsSubquery(sr.replaceExpr)
+      case expr: ScalaUDF if (expr.udfName match {
+        case Some(name) =>
+          ColumnarUDF.isSupportedUDF(name)
+        case None =>
+          false
+      }) =>
+        expr.children.map(containsSubquery).exists(_ == true)
+      case expr if (ColumnarUDF.isSupportedUDF(expr.prettyName)) =>
+        expr.children.map(containsSubquery).exists(_ == true)
       case expr =>
         throw new UnsupportedOperationException(
           s" --> ${expr.getClass} | ${expr} is not currently supported.")

native-sql-engine/core/src/main/scala/com/intel/oap/expression/ColumnarUDF.scala

@@ -0,0 +1,116 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.intel.oap.expression
+
+import com.google.common.collect.Lists
+import org.apache.arrow.gandiva.expression.{TreeBuilder, TreeNode}
+import org.apache.arrow.vector.types.pojo.ArrowType
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, ExprCode}
+import org.apache.spark.sql.types.DataType
+import org.apache.spark.sql.types.StringType
+
+
+case class ColumnarURLDecoder(input: Expression) extends Expression with ColumnarExpression {
+  def nullable: Boolean = {
+    true
+  }
+
+  def children: Seq[Expression] = {
+    Seq(input)
+  }
+
+  def dataType: DataType = {
+    StringType
+  }
+
+  def eval(input: InternalRow): Any = {
+    throw new UnsupportedOperationException("Should not trigger eval!")
+  }
+
+  def child: Expression = {
+    input
+  }
+
+  override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
+    throw new UnsupportedOperationException("Should not trigger code gen!")
+  }
+
+  protected def withNewChildrenInternal(newChildren: IndexedSeq[Expression]): ColumnarURLDecoder = {
+    copy(input = newChildren.head)
+  }
+
+  buildCheck
+
+  def buildCheck: Unit = {
+    val supportedTypes = List(StringType)
+    if (!supportedTypes.contains(input.dataType)) {
+      throw new UnsupportedOperationException("Only StringType input is supported!")
+    }
+  }
+
+  override def supportColumnarCodegen(args: java.lang.Object): Boolean = {
+    false
+  }
+
+  override def doColumnarCodeGen(args: Object): (TreeNode, ArrowType) = {
+    val (inputNode, _): (TreeNode, ArrowType) =
+      input.asInstanceOf[ColumnarExpression].doColumnarCodeGen(args)
+    val resultType = new ArrowType.Utf8()
+    val funcNode =
+      TreeBuilder.makeFunction(
+        "url_decoder",
+        Lists.newArrayList(inputNode),
+        resultType)
+    (funcNode, resultType)
+  }
+}
+
+object ColumnarUDF {
+  // Keep the supported UDF name. The name is specified in registering the
+  // row based function in spark, e.g.,
+  // CREATE TEMPORARY FUNCTION UrlDecoder AS 'com.intel.test.URLDecoderNew';
+  val supportList = {"UrlDecoder"}
+
+  def isSupportedUDF(name: String): Boolean = {
+    if (name == null) {
+      return false;
+    }
+    return supportList.contains(name)
+  }
+
+  def create(children: Seq[Expression], original: Expression): Expression = {
+    original.prettyName match {
+      // Hive UDF.
+      case "UrlDecoder" =>
+        ColumnarURLDecoder(children.head)
+      // Scala UDF.
+      case "scalaudf" =>
+        original.asInstanceOf[ScalaUDF].udfName.get match {
+          case "UrlDecoder" =>
+            ColumnarURLDecoder(children.head)
+          case other =>
+            throw new UnsupportedOperationException(s"not currently supported: $other.")
+        }
+      case other =>
+        throw new UnsupportedOperationException(s"not currently supported: $other.")
+    }
+  }
+}

native-sql-engine/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala

@@ -603,6 +603,16 @@ class DataFrameSuite extends QueryTest
     )
   }
 
+  test("Columnar UDF") {
+    // Register a scala UDF. The scala UDF code will not be acutally used. It
+    // will be replaced by columnar UDF at runtime.
+    spark.udf.register("UrlDecoder", (s : String) => s)
+    checkAnswer(
+      sql("select UrlDecoder('AaBb%23'), UrlDecoder(null)"),
+      Seq(Row("AaBb#", null))
+    )
+  }
+
   test("callUDF without Hive Support") {
     val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
     df.sparkSession.udf.register("simpleUDF", (v: Int) => v * v)