| /* |
| * 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.transforms.SerializableFunctions; |
| 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) |
| .withSchema( |
| schema, SerializableFunctions.identity(), SerializableFunctions.identity())); |
| } |
| |
| @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(); |
| } |
| } |