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[HUDI-1418] Set up flink client unit test infra (#2281)

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This commit is contained in:
Gary Li
2020-12-31 08:57:22 +08:00
committed by GitHub
parent 605b617cfa
commit c5e8a024f6
23 changed files with 642 additions and 125 deletions
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18
hudi-flink/src/main/java/org/apache/hudi/HoodieFlinkStreamer.java
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@@ -19,9 +19,11 @@
package org.apache.hudi;
import org.apache.hudi.client.WriteStatus;
import org.apache.hudi.common.config.TypedProperties;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
import org.apache.hudi.common.model.WriteOperationType;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.operator.InstantGenerateOperator;
import org.apache.hudi.operator.KeyedWriteProcessFunction;
import org.apache.hudi.operator.KeyedWriteProcessOperator;
@@ -42,11 +44,11 @@ import org.apache.flink.runtime.state.filesystem.FsStateBackend;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.Properties;
/**
* An Utility which can incrementally consume data from Kafka and apply it to the target table.
@@ -73,13 +75,21 @@ public class HoodieFlinkStreamer {
env.setStateBackend(new FsStateBackend(cfg.flinkCheckPointPath));
}
Properties kafkaProps = StreamerUtil.getKafkaProps(cfg);
TypedProperties props = StreamerUtil.getProps(cfg);
// add kafka config
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, cfg.kafkaBootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, cfg.kafkaGroupId);
// add data source config
props.put(HoodieWriteConfig.WRITE_PAYLOAD_CLASS, cfg.payloadClassName);
props.put(HoodieWriteConfig.PRECOMBINE_FIELD_PROP, cfg.sourceOrderingField);
// Read from kafka source
DataStream<HoodieRecord> inputRecords =
env.addSource(new FlinkKafkaConsumer<>(cfg.kafkaTopic, new SimpleStringSchema(), kafkaProps))
env.addSource(new FlinkKafkaConsumer<>(cfg.kafkaTopic, new SimpleStringSchema(), props))
.filter(Objects::nonNull)
.map(new JsonStringToHoodieRecordMapFunction(cfg))
.map(new JsonStringToHoodieRecordMapFunction(props))
.name("kafka_to_hudi_record")
.uid("kafka_to_hudi_record_uid");

41
hudi-flink/src/main/java/org/apache/hudi/source/JsonStringToHoodieRecordMapFunction.java
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@@ -18,18 +18,21 @@
package org.apache.hudi.source;
import org.apache.hudi.HoodieFlinkStreamer;
import org.apache.hudi.avro.HoodieAvroUtils;
import org.apache.hudi.common.config.TypedProperties;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.HoodieRecordPayload;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.exception.HoodieFlinkStreamerException;
import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.keygen.KeyGenerator;
import org.apache.hudi.keygen.SimpleAvroKeyGenerator;
import org.apache.hudi.schema.FilebasedSchemaProvider;
import org.apache.hudi.util.AvroConvertor;
import org.apache.hudi.util.StreamerUtil;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericRecord;
import org.apache.flink.api.common.functions.MapFunction;
@@ -40,32 +43,46 @@ import java.io.IOException;
*/
public class JsonStringToHoodieRecordMapFunction implements MapFunction<String, HoodieRecord> {
private final HoodieFlinkStreamer.Config cfg;
private TypedProperties props;
private KeyGenerator keyGenerator;
private AvroConvertor avroConvertor;
private Option<String> schemaStr;
private String payloadClassName;
private String orderingField;
public JsonStringToHoodieRecordMapFunction(HoodieFlinkStreamer.Config cfg) {
this.cfg = cfg;
public JsonStringToHoodieRecordMapFunction(TypedProperties props) {
this(props, Option.empty());
}
public JsonStringToHoodieRecordMapFunction(TypedProperties props, Option<String> schemaStr) {
this.props = props;
this.schemaStr = schemaStr;
init();
}
@Override
public HoodieRecord map(String value) throws Exception {
GenericRecord gr = avroConvertor.fromJson(value);
HoodieRecordPayload payload = StreamerUtil.createPayload(cfg.payloadClassName, gr,
(Comparable) HoodieAvroUtils.getNestedFieldVal(gr, cfg.sourceOrderingField, false));
GenericRecord gr = this.avroConvertor.fromJson(value);
HoodieRecordPayload payload = StreamerUtil.createPayload(this.payloadClassName, gr,
(Comparable) HoodieAvroUtils.getNestedFieldVal(gr, this.orderingField, false));
return new HoodieRecord<>(keyGenerator.getKey(gr), payload);
return new HoodieRecord<>(this.keyGenerator.getKey(gr), payload);
}
private void init() {
TypedProperties props = StreamerUtil.getProps(cfg);
avroConvertor = new AvroConvertor(new FilebasedSchemaProvider(props).getSourceSchema());
if (schemaStr.isPresent()) {
this.avroConvertor = new AvroConvertor(new Schema.Parser().parse(schemaStr.get()));
} else {
this.avroConvertor = new AvroConvertor(new FilebasedSchemaProvider(props).getSourceSchema());
}
this.payloadClassName = props.getString(HoodieWriteConfig.WRITE_PAYLOAD_CLASS,
OverwriteWithLatestAvroPayload.class.getName());
this.orderingField = props.getString(HoodieWriteConfig.PRECOMBINE_FIELD_PROP, "ts");
try {
keyGenerator = StreamerUtil.createKeyGenerator(props);
this.keyGenerator = StreamerUtil.createKeyGenerator(props);
} catch (IOException e) {
throw new HoodieFlinkStreamerException(String.format("KeyGenerator %s initialization failed",
props.getString("hoodie.datasource.write.keygenerator.class", SimpleAvroKeyGenerator.class.getName())), e);
props.getString(HoodieWriteConfig.KEYGENERATOR_CLASS_PROP, SimpleAvroKeyGenerator.class.getName())), e);
}
}
}

9
hudi-flink/src/main/java/org/apache/hudi/util/StreamerUtil.java
View File

@@ -38,7 +38,6 @@ import org.apache.avro.generic.GenericRecord;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -46,19 +45,11 @@ import java.io.BufferedReader;
import java.io.IOException;
import java.io.StringReader;
import java.util.List;
import java.util.Properties;
public class StreamerUtil {
private static Logger LOG = LoggerFactory.getLogger(StreamerUtil.class);
public static Properties getKafkaProps(HoodieFlinkStreamer.Config cfg) {
Properties result = new Properties();
result.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, cfg.kafkaBootstrapServers);
result.put(ConsumerConfig.GROUP_ID_CONFIG, cfg.kafkaGroupId);
return result;
}
public static TypedProperties getProps(HoodieFlinkStreamer.Config cfg) {
return readConfig(
FSUtils.getFs(cfg.propsFilePath, getHadoopConf()),

89
hudi-flink/src/test/java/org/apache/hudi/source/TestJsonStringToHoodieRecordMapFunction.java Normal file
View File

@@ -0,0 +1,89 @@
/*
* 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.hudi.source;
import org.apache.hudi.common.config.TypedProperties;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.OverwriteWithLatestAvroPayload;
import org.apache.hudi.common.testutils.RawTripTestPayload;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.keygen.constant.KeyGeneratorOptions;
import org.apache.hudi.testutils.HoodieFlinkClientTestHarness;
import org.apache.avro.Schema;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;
import static org.apache.hudi.common.testutils.HoodieTestDataGenerator.AVRO_SCHEMA;
public class TestJsonStringToHoodieRecordMapFunction extends HoodieFlinkClientTestHarness {
@BeforeEach
public void init() {
initPath();
initTestDataGenerator();
initFileSystem();
initFlinkMiniCluster();
}
@AfterEach
public void clean() throws Exception {
cleanupTestDataGenerator();
cleanupFileSystem();
cleanupFlinkMiniCluster();
}
@Test
public void testMapFunction() throws Exception {
final String newCommitTime = "001";
final int numRecords = 10;
List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, numRecords);
List<String> recordStr = RawTripTestPayload.recordsToStrings(records);
Schema schema = AVRO_SCHEMA;
TypedProperties props = new TypedProperties();
props.put(HoodieWriteConfig.WRITE_PAYLOAD_CLASS, OverwriteWithLatestAvroPayload.class.getName());
props.put(HoodieWriteConfig.PRECOMBINE_FIELD_PROP, "timestamp");
props.put(KeyGeneratorOptions.RECORDKEY_FIELD_OPT_KEY, "_row_key");
props.put(KeyGeneratorOptions.PARTITIONPATH_FIELD_OPT_KEY, "partitionPath");
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(2);
SimpleTestSinkFunction.valuesList.clear();
env.fromCollection(recordStr)
.map(new JsonStringToHoodieRecordMapFunction(props, Option.of(schema.toString())))
.addSink(new SimpleTestSinkFunction());
env.execute();
// input records all present in the sink
Assertions.assertEquals(10, SimpleTestSinkFunction.valuesList.size());
// input keys all present in the sink
Set<String> inputKeySet = records.stream().map(r -> r.getKey().getRecordKey()).collect(Collectors.toSet());
Assertions.assertEquals(10, SimpleTestSinkFunction.valuesList.stream()
.map(r -> inputKeySet.contains(r.getRecordKey())).filter(b -> b).count());
}
}

30
hudi-flink/src/test/resources/log4j-surefire-quiet.properties Normal file
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@@ -0,0 +1,30 @@
###
# 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.
###
log4j.rootLogger=WARN, CONSOLE
log4j.logger.org.apache.hudi=DEBUG
log4j.logger.org.apache.hadoop.hbase=ERROR
# CONSOLE is set to be a ConsoleAppender.
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
# CONSOLE uses PatternLayout.
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=[%-5p] %d %c %x - %m%n
log4j.appender.CONSOLE.filter.a=org.apache.log4j.varia.LevelRangeFilter
log4j.appender.CONSOLE.filter.a.AcceptOnMatch=true
log4j.appender.CONSOLE.filter.a.LevelMin=WARN
log4j.appender.CONSOLE.filter.a.LevelMax=FATAL

31
hudi-flink/src/test/resources/log4j-surefire.properties Normal file
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@@ -0,0 +1,31 @@
###
# 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.
###
log4j.rootLogger=WARN, CONSOLE
log4j.logger.org.apache=INFO
log4j.logger.org.apache.hudi=DEBUG
log4j.logger.org.apache.hadoop.hbase=ERROR
# A1 is set to be a ConsoleAppender.
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
# A1 uses PatternLayout.
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n
log4j.appender.CONSOLE.filter.a=org.apache.log4j.varia.LevelRangeFilter
log4j.appender.CONSOLE.filter.a.AcceptOnMatch=true
log4j.appender.CONSOLE.filter.a.LevelMin=WARN
log4j.appender.CONSOLE.filter.a.LevelMax=FATAL