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[GitHub] [spark] ueshin commented on a change in pull request #24232: [SPARK-27297] [SQL] Add higher order functions to scala API

ueshin commented on a change in pull request #24232: [SPARK-27297] [SQL] Add higher order functions to scala API
URL: https://github.com/apache/spark/pull/24232#discussion_r330283737
 
 

 ##########
 File path: sql/core/src/test/java/test/org/apache/spark/sql/JavaHigherOrderFunctionsSuite.java
 ##########
 @@ -0,0 +1,221 @@
+/*
+ * 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 test.org.apache.spark.sql;
+
+import java.util.HashMap;
+import java.util.List;
+
+import scala.collection.Seq;
+import static scala.collection.JavaConverters.mapAsScalaMap;
+
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.types.*;
+import static org.apache.spark.sql.types.DataTypes.*;
+import static org.apache.spark.sql.functions.*;
+import org.apache.spark.sql.test.TestSparkSession;
+import static test.org.apache.spark.sql.JavaTestUtils.*;
+import test.org.apache.spark.sql.JavaTestUtils;
+
+public class JavaHigherOrderFunctionsSuite {
+    private transient TestSparkSession spark;
+    private Dataset<Row> arrDf;
+    private Dataset<Row> mapDf;
+
+    private void setUpArrDf() {
+        List<Row> data = toRows(
+            makeArray(1, 9, 8, 7),
+            makeArray(5, 8, 9, 7, 2),
+            JavaTestUtils.<Integer>makeArray(),
+            null
+        );
+        StructType schema =  new StructType()
+            .add("x", new ArrayType(IntegerType, true), true);
+        arrDf = spark.createDataFrame(data, schema);
+    }
+
+    private void setUpMapDf() {
+        List<Row> data = toRows(
+            new HashMap<Integer, Integer>() {{
+                put(1, 1);
+                put(2, 2);
+            }},
+            null
+        );
+        StructType schema = new StructType()
+            .add("x", new MapType(IntegerType, IntegerType, true));
+        mapDf = spark.createDataFrame(data, schema);
+    }
+
+    @Before
+    public void setUp() {
+        spark = new TestSparkSession();
+        setUpArrDf();
+        setUpMapDf();
+    }
+
+    @After
+    public void tearDown() {
+        spark.stop();
+        spark = null;
+    }
+
+    @Test
+    public void testTransform() {
+        checkAnswer(
+            arrDf.select(transform(col("x"), x -> x.plus(1))),
+            toRows(
+                makeArray(2, 10, 9, 8),
+                makeArray(6, 9, 10, 8, 3),
+                JavaTestUtils.<Integer>makeArray(),
+                null
+            ));
+        checkAnswer(
+            arrDf.select(transform(col("x"), (x, i) -> x.plus(i))),
+            toRows(
+                makeArray(1, 10, 10, 10),
+                makeArray(5, 9, 11, 10, 6),
+                JavaTestUtils.<Integer>makeArray(),
+                null
+            ));
+    }
+
+    @Test
+    public void testFilter() {
+        checkAnswer(
+            arrDf.select(filter(col("x"), x -> x.plus(1).equalTo(10))),
+            toRows(
+                makeArray(9),
+                makeArray(9),
+                JavaTestUtils.<Integer>makeArray(),
+                null
+            ));
+    }
+
+    @Test
+    public void testExists() {
+        checkAnswer(
+            arrDf.select(exists(col("x"), x -> x.plus(1).equalTo(10))),
+            toRows(
+                true,
+                true,
+                false,
+                null
+            ));
+    }
+
+    @Test
+    public void testForall() {
+        checkAnswer(
+            arrDf.select(forall(col("x"), x -> x.plus(1).equalTo(10))),
+            toRows(
+                false,
+                false,
+                true,
+                null
+            ));
+    }
+
+    @Test
+    public void testAggregate() {
+        checkAnswer(
+            arrDf.select(aggregate(col("x"), lit(0), (acc, x) -> acc.plus(x))),
+            toRows(
+                25,
+                31,
+                0,
+                null
+            ));
+        checkAnswer(
+            arrDf.select(aggregate(col("x"), lit(0), (acc, x) -> acc.plus(x), x -> x)),
+            toRows(
+                25,
+                31,
+                0,
+                null
+            ));
+    }
+
+    @Test
+    public void testZipWith() {
+        checkAnswer(
+            arrDf.select(zip_with(col("x"), col("x"), (a, b) -> lit(42))),
+            toRows(
+                makeArray(42, 42, 42, 42),
+                makeArray(42, 42, 42, 42, 42),
+                JavaTestUtils.<Integer>makeArray(),
+                null
+            ));
+    }
+
+    @Test
+    public void testTransformKeys() {
+        checkAnswer(
+            mapDf.select(transform_keys(col("x"), (k, v) -> k.plus(v))),
+            toRows(
+                mapAsScalaMap(
+                new HashMap<Integer, Integer>() {{
+                    put(2, 1);
+                    put(4, 2);
+                }}),
+                null
 
 Review comment:
   nit: style. one more indent?

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