java flink mysql binlog 代码

好的，下面是一个使用Java编写的Flink和MySQL的Binlog示例代码：

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema;
import org.apache.flink.streaming.connectors.kafka.KafkaSerializationSchema;
import org.apache.flink.streaming.connectors.kafka.KafkaTopicPartition;
import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState;
import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel;
import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateUpdater;
import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionTestUtils;
import org.apache.flink.streaming.connectors.kafka.testutils.KafkaTestEnvironment;
import org.apache.flink.streaming.connectors.kafka.testutils.KafkaTestUtils;
import org.apache.flink.types.Row;
import org.apache.flink.util.TestLogger;
import org.junit.BeforeClass;
import org.junit.ClassRule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;

import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

public class FlinkMySQLBinlogTest extends TestLogger {

    @ClassRule
    public static final TemporaryFolder TEMPORARY_FOLDER = new TemporaryFolder();

    private static final String TOPIC = "test-topic";

    private static final String BOOTSTRAP_SERVERS = "localhost:9092";

    private static final String GROUP_ID = "test-group";

    private static KafkaTestEnvironment kafkaTestEnvironment;

    @BeforeClass
    public static void setup() throws IOException {
        final File tmpFolder = TEMPORARY_FOLDER.newFolder();
        final Properties kafkaProps = KafkaTestUtils.getStandardProperties();
        kafkaProps.setProperty("auto.create.topics.enable", "false");
        kafkaProps.setProperty("log.dirs", tmpFolder.getAbsolutePath());
        kafkaTestEnvironment = new KafkaTestEnvironment(kafkaProps);
        kafkaTestEnvironment.prepare(1, 1);
        KafkaTestUtils.createTopic(TOPIC, 1, 1, kafkaTestEnvironment.getKafkaServer().get().config());
    }

    @Test
    public void testFlinkMySQLBinlog() throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.enableCheckpointing(1000L);
        env.setParallelism(1);

        final String databaseName = "test";
        final String tableName = "user";

        final SourceFunction<String> kafkaSource = new SourceFunction<String>() {
            private volatile boolean running = true;

            @Override
            public void run(SourceContext<String> ctx) throws Exception {
                while (running) {
                    ctx.collect("1\t'John'\t25");
                    Thread.sleep(1000L);
                }
            }

            @Override
            public void cancel() {
                running = false;
            }
        };

        final FlinkKafkaProducer<String> kafkaProducer = new FlinkKafkaProducer<>(
                TOPIC,
                new SimpleStringSchema(),
                new Properties(),
                KafkaSerializationSchema.UseTruncate.UPDATE_ON_CHANGE
        );

        final FlinkKafkaConsumer<String> kafkaConsumer = new FlinkKafkaConsumer<>(
                TOPIC,
                new SimpleStringSchema(),
                new Properties()
        );

        final MapFunction<String, Row> rowMapFunction = new MapFunction<String, Row>() {
            @Override
            public Row map(String value) throws Exception {
                final String[] fields = value.split("\t");
                final Row row = new Row(3);
                row.setField(0, Integer.parseInt(fields[0]));
                row.setField(1, fields[1].replace("'", ""));
                row.setField(2, Integer.parseInt(fields[2]));
                return row;
            }
        };

        final RowTypeInfo rowTypeInfo = new RowTypeInfo(
                new TypeInformation[]{Types.INT, Types.STRING, Types.INT},
                new String[]{"id", "name", "age"}
        );

        final JdbcSource<Row> jdbcSource = JdbcSource.<Row>builder()
                .setDrivername("com.mysql.jdbc.Driver")
                .setDBUrl("jdbc:mysql://localhost:3306/" + databaseName)
                .setUsername("root")
                .setPassword("root")
                .setQuery("SELECT * FROM " + tableName)
                .setRowTypeInfo(rowTypeInfo)
                .build();

        final BinlogSource<Row> binlogSource = MySQLSource.<Row>builder()
                .hostname("localhost")
                .port(3306)
                .databaseList(databaseName)
                .tableList(tableName)
                .username("root")
                .password("root")
                .serverId(1001L)
                .binlogFilename("mysql-bin.000001")
                .binlogPosition(4L)
                .build();

        final DataStream<Row> jdbcStream = env.addSource(jdbcSource).map(rowMapFunction);
        final DataStream<Row> binlogStream = env.addSource(binlogSource).map(rowMapFunction);

        jdbcStream.addSink(kafkaProducer);

        binlogStream.addSink(new FlinkKafkaProducer<>(
                TOPIC,
                new KafkaSerializationSchema<Row>() {
                    @Override
                    public void open(SerializationSchema.InitializationContext context) throws Exception {
                    }

                    @Override
                    public ProducerRecord<byte[], byte[]> serialize(Row element, Long timestamp) {
                        final Map<String, Object> data = new HashMap<>();
                        data.put("id", element.getField(0));
                        data.put("name", element.getField(1));
                        data.put("age", element.getField(2));
                        return new ProducerRecord<>(TOPIC, data.toString().getBytes());
                    }
                },
                new Properties(),
                KafkaSerializationSchema.UseTruncate.UPDATE_ON_CHANGE
        ));

        final DataStream<String> kafkaStream = env.addSource(kafkaConsumer);
        kafkaStream.print();

        env.execute();
    }
}

这个示例代码包括了Flink和MySQL的Binlog的使用，以及Kafka的读写操作，希望能够帮助到您。