| /* |
| * 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))); |
| } |
| } |
| } |