当我试图构建我们的go应用程序时,我们得到了下面的错误。
=> ERROR [builder 7/7] RUN CGO_ENABLED=0 GOOS=linux go build -o myapp
> [builder 7/7] RUN CGO_ENABLED=0 GOOS=linux go build -o myapp:
#14 6.962 # main
#14 6.962 ./kafkaproducer.go:12:12: undefined: kafka.NewProducer
#14 6.962 ./kafkaproducer.go:12:31: undefined: kafka.ConfigMap
#14 6.962 ./kafkaproducer.go:23:10: undefined: kafka.Message
#14 6.962 ./kafkaproducer.go:39:13: undefined: kafka.Message我的Docker文件是
FROM golang:1.16-alpine AS builder
RUN mkdir /app
ADD . /app
WORKDIR /app
RUN go mod tidy
RUN CGO_ENABLED=0 GOOS=linux go build -o myapp
FROM busybox AS prod
COPY --from=builder /app .
CMD ["./myapp"]在我的kafkaProducer go文件中,我导入了以下内容
import (
"fmt"
"log"
"github.com/confluentinc/confluent-kafka-go/kafka"
)我的应用程序在本地构建成功,但通过docker构建失败,因为它无法下载kafka依赖项,并抛出未定义的错误。请帮我解决这个问题
发布于 2021-08-28 17:57:49
因此,在构建时,这似乎依赖于cgo。我设法解决了这个问题,方法是使用cgo编译,但要链接依赖项。静态地。
FROM golang AS builder
WORKDIR /app
COPY . .
RUN go mod download && \
go build -o myapp -ldflags '-linkmode external -w -extldflags "-static"'
# works also with alpine
FROM busybox
COPY --from=builder /app/myapp myapp
CMD ["./myapp"]我已经使用下面的代码from their repo进行了测试。这给了我最初你所展示的那种错误。
package main
import (
"fmt"
"github.com/confluentinc/confluent-kafka-go/kafka"
)
func main() {
p, err := kafka.NewProducer(&kafka.ConfigMap{"bootstrap.servers": "localhost"})
if err != nil {
panic(err)
}
defer p.Close()
// Delivery report handler for produced messages
go func() {
for e := range p.Events() {
switch ev := e.(type) {
case *kafka.Message:
if ev.TopicPartition.Error != nil {
fmt.Printf("Delivery failed: %v\n", ev.TopicPartition)
} else {
fmt.Printf("Delivered message to %v\n", ev.TopicPartition)
}
}
}
}()
// Produce messages to topic (asynchronously)
topic := "myTopic"
for _, word := range []string{"Welcome", "to", "the", "Confluent", "Kafka", "Golang", "client"} {
p.Produce(&kafka.Message{
TopicPartition: kafka.TopicPartition{Topic: &topic, Partition: kafka.PartitionAny},
Value: []byte(word),
}, nil)
}
// Wait for message deliveries before shutting down
p.Flush(15 * 1000)
}https://stackoverflow.com/questions/68957644
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