flink: 将接收到的tcp文本流写入HBase

一、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>pulsar-demo2</artifactId><version>1.0-SNAPSHOT</version><properties><maven.compiler.source>8</maven.compiler.source><maven.compiler.target>8</maven.compiler.target><pulsar.version>2.8.0</pulsar.version><jackson.version>2.10.5</jackson.version><!--<jackson.version>2.6.7</jackson.version>--></properties><dependencies><dependency><groupId>org.apache.pulsar</groupId><artifactId>pulsar-client-all</artifactId><version>${pulsar.version}</version></dependency><dependency><groupId>org.apache.pulsar</groupId><artifactId>pulsar-client-kafka</artifactId><version>${pulsar.version}</version></dependency><dependency><groupId>org.apache.pulsar</groupId><artifactId>pulsar-spark</artifactId><version>${pulsar.version}</version><exclusions><exclusion><groupId>org.apache.spark</groupId><artifactId>spark-streaming_2.10</artifactId></exclusion></exclusions></dependency><!--<dependency><groupId>org.apache.spark</groupId><artifactId>spark-streaming_2.11</artifactId><version>2.4.0</version></dependency>--><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-core</artifactId><version>${jackson.version}</version></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-annotations</artifactId><version>${jackson.version}</version></dependency><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>${jackson.version}</version></dependency><dependency><groupId>org.apache.spark</groupId><artifactId>spark-streaming_2.12</artifactId><version>3.0.0</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-streaming-java_2.12</artifactId><version>1.13.6</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-planner-blink_2.12</artifactId><version>1.13.6</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-api-java</artifactId><version>1.13.6</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-csv</artifactId><version>1.13.6</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-clients_2.12</artifactId><version>1.13.6</version></dependency><dependency><groupId>org.apache.hbase</groupId><artifactId>hbase-client</artifactId><version>2.4.2</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-hbase-1.4_2.12</artifactId><version>1.13.6</version></dependency></dependencies></project>

二、HBase中建表：

create 'hbasetable','family1','family2','family3','family4'

三、在一台服务器上开启nc

nc -lk 9999

四、运行，demo程序

package cn.edu.tju;import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.DataTypes;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.TableResult;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.descriptors.Csv;
import org.apache.flink.table.descriptors.FileSystem;
import org.apache.flink.table.descriptors.Schema;import java.util.UUID;public class FlinkHBase3 {
//nc 服务器地址private static String HOST_NAME = "xx.xx.xx.xx";private static int PORT = 9999;private static String DELIMITER ="\n";public static void main(String[] args) throws Exception{StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();env.setParallelism(1);StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);DataStream<String> socketDataInfo =  env.socketTextStream(HOST_NAME, PORT, DELIMITER);SingleOutputStreamOperator<DataInfo> dataInfoStream = socketDataInfo.map(new MapFunction<String, DataInfo>() {@Overridepublic DataInfo map(String value) throws Exception {String[] stringList = value.split(",");DataInfo dataInfo = new DataInfo(UUID.randomUUID().toString(), Long.parseLong(stringList[0]), stringList[1], Double.parseDouble(stringList[2]));return dataInfo;}});Table dataTable = tableEnv.fromDataStream(dataInfoStream,"rowkey,ts,info,val");tableEnv.createTemporaryView("dataTable", dataTable);// 这里要配自己HBase的zookeeper地址tableEnv.executeSql("CREATE TABLE flinkTable (\n" +" rowkey STRING,\n" +" family1 ROW<ts BIGINT, info STRING, val DOUBLE>,\n" +" PRIMARY KEY (rowkey) NOT ENFORCED\n" +") WITH (\n" +" 'connector' = 'hbase-1.4',\n" +" 'table-name' = 'hbasetable',\n" +" 'zookeeper.quorum' = 'xx.xx.xx.xx:2181'\n" +")");tableEnv.executeSql("INSERT INTO flinkTable " +"SELECT rowkey, ROW(ts,info,val) FROM dataTable");env.execute("HBaseFlinkJob");}public static class DataInfo{private String rowkey;private Long ts;private String info;private double val;public String getRowkey() {return rowkey;}public void setRowkey(String rowkey) {this.rowkey = rowkey;}public Long getTs() {return ts;}public void setTs(Long ts) {this.ts = ts;}public String getInfo() {return info;}public void setInfo(String info) {this.info = info;}public double getVal() {return val;}public void setVal(double val) {this.val = val;}@Overridepublic String toString() {return "DataInfo{" +"ts=" + ts +", info='" + info + '\'' +", val='" + val + '\'' +'}';}public DataInfo( String rowkey, Long ts, String info, double val) {this.rowkey = rowkey;this.ts = ts;this.info = info;this.val = val;}public DataInfo() {}}}

五、在nc窗口输入：