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   * 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
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   *
   *     http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
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  package org.apache.beam.sdk.extensions.python.transforms;
  
  import org.apache.beam.sdk.schemas.Schema;
  import org.apache.beam.sdk.testing.PAssert;
  import org.apache.beam.sdk.testing.UsesPythonExpansionService;
  import org.apache.beam.sdk.testing.ValidatesRunner;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.util.construction.BaseExternalTest;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.Row;
  import org.junit.Test;
  import org.junit.experimental.categories.Category;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  @RunWith(JUnit4.class)
  public class DataframeTransformTest extends BaseExternalTest {
    @Test
    @Category({ValidatesRunner.class, UsesPythonExpansionService.class})
    public void testDataframeSum() {
      Schema schema =
          Schema.of(
              Schema.Field.of("a", Schema.FieldType.INT64),
              Schema.Field.of("b", Schema.FieldType.INT32));
      Row foo1 = Row.withSchema(schema).withFieldValue("a", 100L).withFieldValue("b", 1).build();
      Row foo2 = Row.withSchema(schema).withFieldValue("a", 100L).withFieldValue("b", 2).build();
      Row foo3 = Row.withSchema(schema).withFieldValue("a", 100L).withFieldValue("b", 3).build();
      Row bar4 = Row.withSchema(schema).withFieldValue("a", 200L).withFieldValue("b", 4).build();
      PCollection<Row> col =
          testPipeline
              .apply(Create.of(foo1, foo2, bar4))
              .setRowSchema(schema)
              .apply(
                  DataframeTransform.of("lambda df: df.groupby('a').sum()")
                      .withIndexes()
                      .withExpansionService(expansionAddr));
      PAssert.that(col).containsInAnyOrder(foo3, bar4);
    }
  }
  