org.apache.beam.sdk.extensions.sql.meta.provider.kafka.BeamKafkaCSVTableTest.java Source code

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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
 * 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.meta.provider.kafka;

import static java.nio.charset.StandardCharsets.UTF_8;

import java.io.Serializable;
import org.apache.beam.sdk.extensions.sql.impl.utils.CalciteUtils;
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.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.Row;
import org.apache.calcite.adapter.java.JavaTypeFactory;
import org.apache.calcite.jdbc.JavaTypeFactoryImpl;
import org.apache.calcite.rel.type.RelDataTypeSystem;
import org.apache.calcite.sql.type.SqlTypeName;
import org.apache.commons.csv.CSVFormat;
import org.junit.Rule;
import org.junit.Test;

/** Test for BeamKafkaCSVTable. */
public class BeamKafkaCSVTableTest {
    @Rule
    public TestPipeline pipeline = TestPipeline.create();

    private static final Row ROW1 = Row.withSchema(genSchema()).addValues(1L, 1, 1.0).build();

    private static final Row ROW2 = Row.withSchema(genSchema()).addValues(2L, 2, 2.0).build();

    @Test
    public void testCsvRecorderDecoder() throws Exception {
        PCollection<Row> result = pipeline.apply(Create.of("1,\"1\",1.0", "2,2,2.0"))
                .apply(ParDo.of(new String2KvBytes()))
                .apply(new BeamKafkaCSVTable.CsvRecorderDecoder(genSchema(), CSVFormat.DEFAULT));

        PAssert.that(result).containsInAnyOrder(ROW1, ROW2);

        pipeline.run();
    }

    @Test
    public void testCsvRecorderEncoder() throws Exception {
        PCollection<Row> result = pipeline.apply(Create.of(ROW1, ROW2))
                .apply(new BeamKafkaCSVTable.CsvRecorderEncoder(genSchema(), CSVFormat.DEFAULT))
                .apply(new BeamKafkaCSVTable.CsvRecorderDecoder(genSchema(), CSVFormat.DEFAULT));

        PAssert.that(result).containsInAnyOrder(ROW1, ROW2);

        pipeline.run();
    }

    private static Schema genSchema() {
        JavaTypeFactory typeFactory = new JavaTypeFactoryImpl(RelDataTypeSystem.DEFAULT);
        return CalciteUtils.toSchema(typeFactory.builder().add("order_id", SqlTypeName.BIGINT)
                .add("site_id", SqlTypeName.INTEGER).add("price", SqlTypeName.DOUBLE).build());
    }

    private static class String2KvBytes extends DoFn<String, KV<byte[], byte[]>> implements Serializable {
        @ProcessElement
        public void processElement(ProcessContext ctx) {
            ctx.output(KV.of(new byte[] {}, ctx.element().getBytes(UTF_8)));
        }
    }
}