lanyuanxiaoyao/hudi
1
0
Fork 0
Code Activity

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

Browse Source
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
Download Patch File Download Diff File Expand all files Collapse all files

18
hudi-flink/src/main/java/org/apache/hudi/HoodieFlinkStreamer.java
View File

@@ -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
View File

@@ -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()),