帮我用Java异步实现读取千万级别csv文件数据并批量插入到clickhouse里面的完整流程代码

好的，以下是Java异步实现读取千万级别csv文件数据并批量插入到ClickHouse的完整流程代码：

首先需要添加依赖：

<dependency>
    <groupId>ru.yandex.clickhouse</groupId>
    <artifactId>clickhouse-jdbc</artifactId>
    <version>0.2.4</version>
</dependency>

然后编写代码：

import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;

public class CsvToClickHouse {
    private static final String JDBC_URL = "jdbc:clickhouse://localhost:8123/default";
    private static final String JDBC_USER = "default";
    private static final String JDBC_PASSWORD = "";
    private static final int BATCH_SIZE = 10000;

    public static void main(String[] args) throws IOException, SQLException, ExecutionException, InterruptedException {
        String csvFile = "path/to/csv/file.csv";
        String tableName = "my_table";

        List<String[]> data = readCsvFile(csvFile);

        CompletableFuture<Void> future = CompletableFuture.runAsync(() -> {
            try (Connection connection = DriverManager.getConnection(JDBC_URL, JDBC_USER, JDBC_PASSWORD)) {
                connection.setAutoCommit(false);

                String insertSql = "INSERT INTO " + tableName + " (col1, col2, col3) VALUES (?, ?, ?)";
                PreparedStatement statement = connection.prepareStatement(insertSql);

                int count = 0;
                for (String[] rowData : data) {
                    statement.setString(1, rowData[0]);
                    statement.setString(2, rowData[1]);
                    statement.setString(3, rowData[2]);
                    statement.addBatch();
                    count++;

                    if (count % BATCH_SIZE == 0) {
                        statement.executeBatch();
                        connection.commit();
                        statement.clearBatch();
                        count = 0;
                    }
                }

                if (count > 0) {
                    statement.executeBatch();
                    connection.commit();
                }

                statement.close();
            } catch (SQLException e) {
                e.printStackTrace();
            }
        });

        future.get();
        System.out.println("Insert data into ClickHouse successfully!");
    }

    private static List<String[]> readCsvFile(String csvFile) throws IOException {
        List<String[]> data = new ArrayList<>();

        try (BufferedReader br = new BufferedReader(new FileReader(csvFile))) {
            String line;
            while ((line = br.readLine()) != null) {
                String[] rowData = line.split(",");
                data.add(rowData);
            }
        }

        return data;
    }
}

这个代码会先读取csv文件中的所有数据，然后异步地将数据批量插入到ClickHouse中。其中，每次批量插入的大小为BATCH_SIZE，可以根据实际情况进行调整。

需要注意的是，该代码仅适用于数据量较小的情况。如果需要处理更大的数据量，可以考虑使用分布式计算框架，如Spark、Flink等。