flink 实时同步mysql到starrocks

要实现Flink实时同步MySQL到StarRocks，可以采用以下步骤：

1. 配置Flink的MySQL数据源，使用Flink SQL读取MySQL中的数据。
2. 使用Flink的DataStream API将MySQL中的数据转换成StarRocks所需的格式。
3. 配置StarRocks的Sink，使用Flink将数据写入到StarRocks中。

具体实现上，可以参考以下步骤：

1. 配置MySQL数据源

StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

env.setParallelism(1);

StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);

tableEnv.executeSql("CREATE TABLE mysql_source (id INT, name STRING, age INT) WITH (" +
    "'connector' = 'jdbc'," +
    "'url' = 'jdbc:mysql://localhost:3306/test'," +
    "'table-name' = 'user'," +
    "'driver' = 'com.mysql.jdbc.Driver'," +
    "'username' = 'root'," +
    "'password' = '123456'" +
")");

2. 转换数据格式

DataStream<Row> mysqlData = tableEnv.toAppendStream(tableEnv.sqlQuery("SELECT id, name, age FROM mysql_source"), Row.class);

DataStream<Tuple3<Integer, String, Integer>> starRocksData = mysqlData.map(new MapFunction<Row, Tuple3<Integer, String, Integer>>() {
    @Override
    public Tuple3<Integer, String, Integer> map(Row row) throws Exception {
        return new Tuple3<>(row.getField(0), row.getField(1), row.getField(2));
    }
});

3. 配置StarRocks Sink

starRocksData.addSink(new JdbcSink<>("INSERT INTO user (id, name, age) VALUES (?, ?, ?)", new JdbcStatementBuilder<Tuple3<Integer, String, Integer>>() {
    @Override
    public void accept(PreparedStatement preparedStatement, Tuple3<Integer, String, Integer> t) throws SQLException {
        preparedStatement.setInt(1, t.f0);
        preparedStatement.setString(2, t.f1);
        preparedStatement.setInt(3, t.f2);
    }
}, new JdbcConnectionOptions.JdbcConnectionOptionsBuilder()
    .withUrl("jdbc:mysql://localhost:3306/starrocks")
    .withDriverName("com.mysql.jdbc.Driver")
    .withUsername("root")
    .withPassword("123456")
    .build()));

这样就完成了将MySQL中的数据实时同步到StarRocks的过程。