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
   * limitations under the License.
   */
  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 COVAR_POP} and {@code COVAR_SAMP}. */
  public class BeamSqlDslAggregationCovarianceTest {
  
    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()
              .addDoubleField("f_double1")
              .addDoubleField("f_double2")
              .addDoubleField("f_double3")
              .addInt32Field("f_int1")
              .addInt32Field("f_int2")
              .addInt32Field("f_int3")
              .build();
  
      List<Row> rowsInTableB =
          TestUtils.RowsBuilder.of(schema)
              .addRows(
                  3.0, 1.0, 1.0, 3, 1, 0, 4.0, 2.0, 2.0, 4, 2, 0, 5.0, 3.0, 1.0, 5, 3, 0, 6.0, 4.0,
                  2.0, 6, 4, 0, 8.0, 4.0, 1.0, 8, 4, 0)
              .getRows();
  
      boundedInput = pipeline.apply(Create.of(rowsInTableB).withRowSchema(schema));
    }
  
    @Test
    public void testPopulationVarianceDouble() {
      String sql = "SELECT COVAR_POP(f_double1, f_double2) FROM PCOLLECTION GROUP BY f_int3";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql)))
          .satisfies(matchesScalar(1.84, PRECISION));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testPopulationVarianceInt() {
      String sql = "SELECT COVAR_POP(f_int1, f_int2) FROM PCOLLECTION GROUP BY f_int3";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql))).satisfies(matchesScalar(1));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testSampleVarianceDouble() {
      String sql = "SELECT COVAR_SAMP(f_double1, f_double2) FROM PCOLLECTION GROUP BY f_int3";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql)))
          .satisfies(matchesScalar(2.3, PRECISION));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testSampleVarianceInt() {
      String sql = "SELECT COVAR_SAMP(f_int1, f_int2) FROM PCOLLECTION GROUP BY f_int3";
  
      PAssert.that(boundedInput.apply(SqlTransform.query(sql))).satisfies(matchesScalar(2));
  
      pipeline.run().waitUntilFinish();
    }
  }
  