1 Maven依赖
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>org.example</groupId>
<artifactId>flink-kafka-hbase</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<flink.version>1.13.6</flink.version>
<scala.binary.version>2.11</scala.binary.version>
</properties>
<dependencies>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.34</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.28</version>
<scope>compile</scope>
</dependency>
<!--工具包依赖-->
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>23.0</version>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.5</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5.2</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.4</version>
</dependency>
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>2.4.0</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>joda-time</groupId>
<artifactId>joda-time</artifactId>
<version>2.9.9</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
<!--state backend-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-statebackend-rocksdb_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-runtime-web_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>com.alibaba.ververica</groupId>
<artifactId>flink-connector-mysql-cdc</artifactId>
<version>1.4.0</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-hbase_${scala.binary.version}</artifactId>
<version>1.9.3</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.4</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-hadoop-compatibility_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.25</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>8</source>
<target>8</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<createDependencyReducedPom>false</createDependencyReducedPom>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<!--如果要打包的话，这里要换成对应的 main class-->
<mainClass>com.cwf.kafka.hbasedemo.KafkaHBaseStreamWriteMain</mainClass>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>reference.conf</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*:*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>2 Java代码
2.1 Kafka生产者
package com.cwf.kafka.hbasedemo;
import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.Properties;
/**
* 往kafka中写数据,模拟生产者
*/
@Slf4j
public class KafkaUtilsProducer {
public static final String broker_list = "10.252.92.4:9092";
public static final String topic = "zhisheng"; //kafka topic 需要和 flink 程序用同一个 topic
public static void writeToKafka() throws InterruptedException {
Properties props = new Properties();
props.put("bootstrap.servers", broker_list);
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
KafkaProducer producer = new KafkaProducer<String, String>(props);
int i = 0;
while (true) {
Thread.sleep(100L);// 每隔100ms 发送一次
ProducerRecord record = new ProducerRecord<String, String>(
topic, null, null, String.valueOf(System.currentTimeMillis()));
producer.send(record);
log.info("record:{}", record);
if (i % 10 == 0) {
producer.flush();
log.info("flush");
}
i++;
}
}
public static void main(String[] args) throws InterruptedException {
writeToKafka();
}
}
2.2 主类
package com.cwf.kafka.hbasedemo;
import lombok.extern.slf4j.Slf4j;
import org.apache.flink.api.common.io.OutputFormat;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
import java.util.Properties;
@Slf4j
public class KafkaHBaseStreamWriteMain {
public static String TOPIC = "zhisheng";
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.addSource(new FlinkKafkaConsumer<>(
TOPIC, //这个 kafka topic 需要和上面的工具类的 topic 一致
new SimpleStringSchema(),
getKafkaProps()))
.writeUsingOutputFormat(new HBaseOutputFormat());
env.execute("Flink HBase connector sink");
}
private static Properties getKafkaProps() {
// 配置kafka
Properties props = new Properties();
props.put("bootstrap.servers", "10.252.92.4:9092");
props.put("zookeeper.connect", "10.252.92.4:2181");
props.put("group.id", "metric-group");
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("auto.offset.reset", "latest");
return props;
}
private static class HBaseOutputFormat implements OutputFormat<String> {
private org.apache.hadoop.conf.Configuration configuration;
private Connection connection = null;
private Table table = null;
@Override
public void configure(Configuration parameters) {
// 配置Hbase
configuration = HBaseConfiguration.create();
configuration.set("hbase.zookeeper.quorum", "10.252.92.4:2181");
configuration.set("hbase.zookeeper.property.clientPort", "2081");
configuration.set("hbase.rpc.timeout", "30000");
configuration.set("hbase.client.operation.timeout", "30000");
configuration.set("hbase.client.scanner.timeout.period", "30000");
}
@Override
public void open(int taskNumber, int numTasks) throws IOException {
connection = ConnectionFactory.createConnection(configuration);
TableName tableName = TableName.valueOf("zhisheng_stream");
Admin admin = connection.getAdmin();
if (!admin.tableExists(tableName)) { //检查是否有该表，如果没有，创建
log.info("不存在表:{}", tableName);
admin.createTable(
new HTableDescriptor(TableName.valueOf("zhisheng_stream"))
.addFamily(new HColumnDescriptor("info_stream")));
}
table = connection.getTable(tableName);
}
@Override
public void writeRecord(String record) throws IOException {
log.info("rowkey->{},column->info_stream:{},value->{}", record.substring(6, 10), record, "cwf_" + record);
Put put = new Put(Bytes.toBytes(record.substring(6, 10)));
put.addColumn(Bytes.toBytes("info_stream"), Bytes.toBytes(record), Bytes.toBytes("cwf_" + record));
table.put(put);
}
@Override
public void close() throws IOException {
table.close();
connection.close();
}
}
}
3、本地运行
控制台
Hbase控制台
这样就说明在本地运行成功了 完成了 生产者->Kafka->消费者(Flink)->数据仓库（Hbase）
4、打包发布
在Hbase查找Rowkey=2162
成功
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