如何使用 golang 框架实现分布式流处理？

package main

import (
    "context"
    "log"

    "github.com/apache/beam/sdks/go/pkg/beam"
)

func main() {
    // 设置管道配置
    beam.Init()
    pipeline := beam.NewPipeline()
    scope := pipeline.Root()

    // 定义读取文件的来源
    in := beam.Create(
        scope,
        "data.csv",
        "1,a",
        "2,b",
        "3,c",
    )

    // 转换数据
    format := beam.ParDo(
        scope,
        func(s string) string { return "row: " + s },
        in,
    )

    // 输出变换结果
    beam.ParDo(
        scope,
        func(ctx context.Context, s string) error {
            log.Println(s)
            return nil
        },
        format,
    )

    if err := pipeline.Run(); err != nil {
        log.Fatalf("Failed to execute pipeline: %v", err)
    }
}

go run beam.go

CREATE TABLE my_table (
  id INTEGER,
  value STRING
);

import (
    "context"
    "log"

    "github.com/apache/beam/sdks/go/pkg/beam"
    "github.com/apache/beam/sdks/go/pkg/beam/io/bigquery"
)

func main() {
    // ...

    // 定义写入 BigQuery 的输出
    out := beam.ParDo(
        scope,
        func(l string) (string, int) {
            id, value := parseData(l)
            return id, value
        },
        format,
    )

    // 写入 BigQuery 表
    beam.WriteToBigQuery(
        scope,
        out,
        bigquery.NewWriter("my_project", "my_dataset", "my_table"),
    )
}