content: /*
   * 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
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  package org.apache.beam.sdk.extensions.sql;
  
  import static org.apache.beam.sdk.extensions.sql.utils.RowAsserts.matchesScalar;
  
  import java.util.List;
  import org.apache.beam.sdk.schemas.Schema;
  import org.apache.beam.sdk.testing.PAssert;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.Row;
  import org.junit.Before;
  import org.junit.Rule;
  import org.junit.Test;
  
  /** Integration tests for {@code VAR_POP} and {@code VAR_SAMP}. */
  public class BeamSqlDslAggregationVarianceTest {
  
    private static final double PRECISION = 1e-7;
  
    @Rule public TestPipeline pipeline = TestPipeline.create();
  
    private PCollection<Row> boundedInput;
  
    @Before
    public void setUp() {
      Schema schema =
          Schema.builder()
              .addInt32Field("f_int")
              .addDoubleField("f_double")
              .addInt32Field("f_int2")
              .build();
  
      List<Row> rowsInTableB =
          TestUtils.RowsBuilder.of(schema)
              .addRows(
                  1, 1.0, 0, 4, 4.0, 0, 7, 7.0, 0, 13, 13.0, 0, 5, 5.0, 0, 10, 10.0, 0, 17, 17.0, 0)
              .getRows();
  
      boundedInput = pipeline.apply(Create.of(rowsInTableB).withRowSchema(schema));
    }
  
    @Test
    public void testPopulationVarianceDouble() {
      String sql = "SELECT VAR_POP(f_double) FROM PCOLLECTION GROUP BY f_int2";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql)))
          .satisfies(matchesScalar(26.40816326, PRECISION));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testPopulationVarianceInt() {
      String sql = "SELECT VAR_POP(f_int) FROM PCOLLECTION GROUP BY f_int2";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql))).satisfies(matchesScalar(26));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testSampleVarianceDouble() {
      String sql = "SELECT VAR_SAMP(f_double) FROM PCOLLECTION GROUP BY f_int2";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql)))
          .satisfies(matchesScalar(30.80952381, PRECISION));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testSampleVarianceInt() {
      String sql = "SELECT VAR_SAMP(f_int) FROM PCOLLECTION GROUP BY f_int2";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql))).satisfies(matchesScalar(30));
  
      pipeline.run().waitUntilFinish();
    }
  }
  