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Added dlq and error metrics to kafka read schema transform (partially) (
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sdks/java/io/kafka/src/test/java/org/apache/beam/sdk/io/kafka/KafkaDlqTest.java
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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.io.kafka; | ||
|
|
||
| import java.util.Arrays; | ||
| import java.util.Collections; | ||
| import java.util.List; | ||
| import org.apache.beam.sdk.io.kafka.KafkaReadSchemaTransformProvider.ErrorFn; | ||
| import org.apache.beam.sdk.schemas.Schema; | ||
| import org.apache.beam.sdk.schemas.utils.JsonUtils; | ||
| import org.apache.beam.sdk.testing.PAssert; | ||
| import org.apache.beam.sdk.testing.TestPipeline; | ||
| import org.apache.beam.sdk.transforms.Count; | ||
| import org.apache.beam.sdk.transforms.Create; | ||
| import org.apache.beam.sdk.transforms.ParDo; | ||
| import org.apache.beam.sdk.transforms.SerializableFunction; | ||
| import org.apache.beam.sdk.values.PCollection; | ||
| import org.apache.beam.sdk.values.PCollectionTuple; | ||
| import org.apache.beam.sdk.values.Row; | ||
| import org.apache.beam.sdk.values.TupleTag; | ||
| import org.apache.beam.sdk.values.TupleTagList; | ||
| import org.junit.Rule; | ||
| import org.junit.Test; | ||
| import org.junit.runner.RunWith; | ||
| import org.junit.runners.JUnit4; | ||
|
|
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| @RunWith(JUnit4.class) | ||
| public class KafkaDlqTest { | ||
|
|
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| private static final TupleTag<Row> OUTPUTTAG = KafkaReadSchemaTransformProvider.OUTPUT_TAG; | ||
| private static final TupleTag<Row> ERRORTAG = KafkaReadSchemaTransformProvider.ERROR_TAG; | ||
|
|
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| private static final Schema BEAMSCHEMA = | ||
| Schema.of(Schema.Field.of("name", Schema.FieldType.STRING)); | ||
| private static final Schema ERRORSCHEMA = KafkaReadSchemaTransformProvider.ERROR_SCHEMA; | ||
|
|
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| private static final List<Row> ROWS = | ||
| Arrays.asList( | ||
| Row.withSchema(BEAMSCHEMA).withFieldValue("name", "a").build(), | ||
| Row.withSchema(BEAMSCHEMA).withFieldValue("name", "b").build(), | ||
| Row.withSchema(BEAMSCHEMA).withFieldValue("name", "c").build()); | ||
|
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| private static List<byte[]> messages; | ||
|
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| private static List<byte[]> messagesWithError; | ||
|
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| final SerializableFunction<byte[], Row> valueMapper = | ||
| JsonUtils.getJsonBytesToRowFunction(BEAMSCHEMA); | ||
|
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| @Rule public transient TestPipeline p = TestPipeline.create(); | ||
|
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| @Test | ||
| public void testKafkaErrorFnSuccess() throws Exception { | ||
| try { | ||
| messages = | ||
| Arrays.asList( | ||
| "{\"name\":\"a\"}".getBytes("UTF8"), | ||
| "{\"name\":\"b\"}".getBytes("UTF8"), | ||
| "{\"name\":\"c\"}".getBytes("UTF8")); | ||
| } catch (Exception e) { | ||
| } | ||
| PCollection<byte[]> input = p.apply(Create.of(messages)); | ||
| PCollectionTuple output = | ||
| input.apply( | ||
| ParDo.of(new ErrorFn("Kafka-read-error-counter", valueMapper)) | ||
| .withOutputTags(OUTPUTTAG, TupleTagList.of(ERRORTAG))); | ||
|
|
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| output.get(OUTPUTTAG).setRowSchema(BEAMSCHEMA); | ||
| output.get(ERRORTAG).setRowSchema(ERRORSCHEMA); | ||
|
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| PAssert.that(output.get(OUTPUTTAG)).containsInAnyOrder(ROWS); | ||
| p.run().waitUntilFinish(); | ||
| } | ||
|
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| @Test | ||
| public void testKafkaErrorFnFailure() throws Exception { | ||
| try { | ||
| messagesWithError = | ||
| Arrays.asList( | ||
| "{\"error\":\"a\"}".getBytes("UTF8"), | ||
| "{\"error\":\"b\"}".getBytes("UTF8"), | ||
| "{\"error\":\"c\"}".getBytes("UTF8")); | ||
| } catch (Exception e) { | ||
| } | ||
| PCollection<byte[]> input = p.apply(Create.of(messagesWithError)); | ||
| PCollectionTuple output = | ||
| input.apply( | ||
| ParDo.of(new ErrorFn("Read-Error-Counter", valueMapper)) | ||
| .withOutputTags(OUTPUTTAG, TupleTagList.of(ERRORTAG))); | ||
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| output.get(OUTPUTTAG).setRowSchema(BEAMSCHEMA); | ||
| output.get(ERRORTAG).setRowSchema(ERRORSCHEMA); | ||
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| PCollection<Long> count = output.get(ERRORTAG).apply("error_count", Count.globally()); | ||
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| PAssert.that(count).containsInAnyOrder(Collections.singletonList(3L)); | ||
|
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| p.run().waitUntilFinish(); | ||
| } | ||
| } |
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