Flink-Clickhouse-Sink Flink pushes data to Clickhouse (DataStream Connectors method)

Plug-in address
https://github.com/ivi-ru/flink-clickhouse-sink After
downloading the plug-in, you need to write a test driver main program module

DataStream Connectors connection method

If you don't download the source code, you need to add a maven dependency

		<dependency>
            <groupId>ru.ivi.opensource</groupId>
            <artifactId>flink-clickhouse-sink</artifactId>
            <version>1.2.0</version>
        </dependency>

Writing entity classes

public class J_User {
    
    
    public int id;
    public String name;
    public int age;
 
    public J_User(int id, String name, int age) {
    
    
        this.id = id;
        this.name = name;
        this.age = age;
    }
 
    public static J_User of(int id, String name, int age) {
    
    
        return new J_User(id, name, age);
    }
 
    // Java Bean 必须实现的方法，信息通过字符串进行拼接
    public static String convertToCsv(J_User user) {
    
    
        StringBuilder builder = new StringBuilder();
        builder.append("(");
 
        // add user.id
        builder.append(user.id);
        builder.append(", ");
 
        // add user.name
        builder.append("'");
        builder.append(String.valueOf(user.name));
        builder.append("', ");
 
        // add user.age
        builder.append(user.age);
 
        builder.append(" )");
        return builder.toString();
    }
}

Write the main flink test program

import com.lei.domain.J_User;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import ru.ivi.opensource.flinkclickhousesink.ClickHouseSink;
import ru.ivi.opensource.flinkclickhousesink.model.ClickHouseClusterSettings;
import ru.ivi.opensource.flinkclickhousesink.model.ClickHouseSinkConst;
 
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
 
/*
    进入clickhouse-client
    use default;
    drop table if exists user_table;
    CREATE TABLE default.user_table(id UInt16, name String, age UInt16 ) ENGINE = TinyLog();
 */
public class J05_ClickHouseSinkTestByLib {
    
    
    public static void main(String[] args) throws Exception {
    
    
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironment();
        Map<String, String> globalParameters = new HashMap<>();
 
        // ClickHouse cluster properties
        globalParameters.put(ClickHouseClusterSettings.CLICKHOUSE_HOSTS, "http://node-01:8123/");
        //globalParameters.put(ClickHouseClusterSettings.CLICKHOUSE_USER, ...);
        //globalParameters.put(ClickHouseClusterSettings.CLICKHOUSE_PASSWORD, ...);
 
        // sink common
        globalParameters.put(ClickHouseSinkConst.TIMEOUT_SEC, "1");
        globalParameters.put(ClickHouseSinkConst.FAILED_RECORDS_PATH, "d:/");
        globalParameters.put(ClickHouseSinkConst.NUM_WRITERS, "2");
        globalParameters.put(ClickHouseSinkConst.NUM_RETRIES, "2");
        globalParameters.put(ClickHouseSinkConst.QUEUE_MAX_CAPACITY, "2");
        globalParameters.put(ClickHouseSinkConst.IGNORING_CLICKHOUSE_SENDING_EXCEPTION_ENABLED, "false");
 
        // set global paramaters
        ParameterTool parameters = ParameterTool.fromMap(globalParameters);
        env.getConfig().setGlobalJobParameters(parameters);
 
        env.setParallelism(1);
 
        // source
        DataStream<String> inputStream = env.socketTextStream("localhost", 7777);
 
        // Transform 操作
        SingleOutputStreamOperator<String> dataStream = inputStream.map(new MapFunction<String, String>() {
    
    
            @Override
            public String map(String data) throws Exception {
    
    
                String[] split = data.split(",");
                J_User user = J_User.of(Integer.parseInt(split[0]),
                        split[1],
                        Integer.parseInt(split[2]));
                return J_User.convertToCsv(user);
            }
        });
 
        // create props for sink
        Properties props = new Properties();
        props.put(ClickHouseSinkConst.TARGET_TABLE_NAME, "default.user_table");
        props.put(ClickHouseSinkConst.MAX_BUFFER_SIZE, "10000");
        ClickHouseSink sink = new ClickHouseSink(props);
        dataStream.addSink(sink);
        dataStream.print();
 
        env.execute("clickhouse sink test");
    }
}

Go to the official website to download the netcat software

https://eternallybored.org/misc/netcat/

Input data, start java program

Verify that clickhouse is written