TheNeuralBit commented on a change in pull request #12827: URL: https://github.com/apache/beam/pull/12827#discussion_r503546882
########## File path: sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/meta/provider/kafka/BeamKafkaTableTest.java ########## @@ -0,0 +1,169 @@ +/* + * 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 java.util.HashMap; +import java.util.List; +import java.util.Map; +import org.apache.beam.sdk.extensions.sql.impl.BeamSqlEnv; +import org.apache.beam.sdk.extensions.sql.impl.BeamTableStatistics; +import org.apache.beam.sdk.extensions.sql.meta.BeamSqlTable; +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.KV; +import org.apache.beam.sdk.values.PCollection; +import org.apache.beam.sdk.values.Row; +import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList; +import org.junit.Assert; +import org.junit.Rule; +import org.junit.Test; + +/** Test for BeamKafkaCSVTable. */ +public abstract class BeamKafkaTableTest { + @Rule public TestPipeline pipeline = TestPipeline.create(); + + protected static final List<String> TOPICS = ImmutableList.of("topic1", "topic2"); + + private static final Map<String, BeamSqlTable> tables = new HashMap<>(); + + protected static BeamSqlEnv env = BeamSqlEnv.readOnly("test", tables); + + protected abstract KafkaTestRecord<?> createKafkaTestRecord(String key, int i, long timestamp); + + protected abstract KafkaTestTable getTestTable(int numberOfPartitions); + + protected abstract BeamKafkaTable getBeamKafkaTable(); + + protected abstract PCollection<KV<byte[], byte[]>> applyRowToBytesKV(PCollection<Row> rows); + + protected abstract List<Object> listFrom(int i); + + protected abstract Schema getSchema(); + + @Test + public void testOrderedArrivalSinglePartitionRate() { + KafkaTestTable table = getTestTable(1); + for (int i = 0; i < 100; i++) { + table.addRecord(createKafkaTestRecord("k" + i, i, 500L * i)); + } + + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertEquals(2d, stats.getRate(), 0.001); + } + + @Test + public void testOrderedArrivalMultiplePartitionsRate() { + KafkaTestTable table = getTestTable(3); + for (int i = 0; i < 100; i++) { + table.addRecord(createKafkaTestRecord("k" + i, i, 500L * i)); + } + + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertEquals(2d, stats.getRate(), 0.001); + } + + @Test + public void testOnePartitionAheadRate() { + KafkaTestTable table = getTestTable(3); + for (int i = 0; i < 100; i++) { + table.addRecord(createKafkaTestRecord("1", i, 1000L * i)); + table.addRecord(createKafkaTestRecord("2", i, 500L * i)); + } + + table.setNumberOfRecordsForRate(20); + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertEquals(1d, stats.getRate(), 0.001); + } + + @Test + public void testLateRecords() { + KafkaTestTable table = getTestTable(3); + + table.addRecord(createKafkaTestRecord("1", 132, 1000L)); + for (int i = 0; i < 98; i++) { + table.addRecord(createKafkaTestRecord("1", i, 500L)); + } + table.addRecord(createKafkaTestRecord("1", 133, 2000L)); + + table.setNumberOfRecordsForRate(200); + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertEquals(1d, stats.getRate(), 0.001); + } + + @Test + public void testAllLate() { + KafkaTestTable table = getTestTable(3); + + table.addRecord(createKafkaTestRecord("1", 132, 1000L)); + for (int i = 0; i < 98; i++) { + table.addRecord(createKafkaTestRecord("1", i, 500L)); + } + + table.setNumberOfRecordsForRate(200); + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertTrue(stats.isUnknown()); + } + + @Test + public void testEmptyPartitionsRate() { + KafkaTestTable table = getTestTable(3); + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertTrue(stats.isUnknown()); + } + + @Test + public void allTheRecordsSameTimeRate() { + KafkaTestTable table = getTestTable(3); + for (int i = 0; i < 100; i++) { + table.addRecord(createKafkaTestRecord("key" + i, i, 1000L)); + } + BeamTableStatistics stats = table.getTableStatistics(null); + Assert.assertTrue(stats.isUnknown()); + } + + @Test + public void testRecorderDecoder() { + BeamKafkaTable kafkaTable = getBeamKafkaTable(); + + PCollection<Row> initialRows = pipeline.apply(Create.of(generateRow(1), generateRow(2))); + + PCollection<KV<byte[], byte[]>> bytesKV = applyRowToBytesKV(initialRows); + PCollection<Row> result = bytesKV.apply(kafkaTable.getPTransformForInput()); + + PAssert.that(result).containsInAnyOrder(generateRow(1), generateRow(2)); + pipeline.run(); + } Review comment: Thanks! 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