我正在尝试使用Go SDK调用lambda函数（用Go编写） 从另一个应用程序，但遇到有问题的问题，但不是当我通过控制台测试lambda函数具有相同的输出。
这是调用lambda的函数：
type RedisPair struct {
RedisKey string `json:"redis_key"`
RedisValue string `json:"redis_value"`
}
type RedisBatch struct {
RedisPairs []RedisPair
GroupId string `json:"group_id"`
}
func lambdawrite (redisbatch RedisBatch) {
//fmt.Println("invoking lambda")
fmt.Println("Batch type: ", reflect.TypeOf(redisbatch))
payload, err := json.Marshal(redisbatch)
fmt.Println("Payload type: ", reflect.TypeOf(payload))
if err != nil {
fmt.Println("Error marshalling MyGetItemsFunction request")
}
svc := lambda.New(session.New())
input := &lambda.InvokeInput{
ClientContext: aws.String("MyApp"),
FunctionName: aws.String("arn:aws:lambda:us-region:arnnum:function:testrpredis"),
InvocationType: aws.String("RequestResponse"),
LogType: aws.String("Tail"),
Payload: payload,
Qualifier: aws.String("$LATEST"),
}
result, err := svc.Invoke(input)
if err != nil {
if aerr, ok := err.(awserr.Error); ok {
//error stuff...
}
} else {
// Print the error, cast err to awserr.Error to get the Code and
// Message from an error.
fmt.Println("error 2")
fmt.Println(err.Error())
}
return
}
//fmt.Println("good")
fmt.Println(result)
}
这里是lambda函数本身：
package main
import (
"github.com/go-redis/redis"
"github.com/aws/aws-lambda-go/lambda"
"log"
"os"
"time"
)
type Event struct {
RedisPairs []RedisPair
GroupId string `json:"group_id"`
}
type Response struct {
Message string `json:"message"`
Ok bool `json:"ok"`
}
type RedisPair struct {
RedisKey string `json:"redis_key"`
RedisValue string `json:"redis_value"`
}
func redis_pipeline(batch Event) (Response, error) {
clientrds := redis.NewClient(&redis.Options{
Addr: os.Getenv("REDIS_HOST") + ":6379",
DialTimeout: 10 * time.Second,
ReadTimeout: 30 * time.Second,
WriteTimeout: 30 * time.Second,
PoolSize: 100,
PoolTimeout: 30 * time.Second,
})
clientrds.FlushDB()
log.Print("start pipe")
pipe := clientrds.Pipeline()
var response Response
log.Print("starting range lop")
for b := range batch.RedisPairs {
//fmt.Println("adding", batch.RedisPairs[b].RedisKey, batch.RedisPairs[b].RedisValue)
pipe.Set(batch.RedisPairs[b].RedisKey, batch.RedisPairs[b].RedisValue, 0)
}
//fmt.Println(uuid, "...time now start: ", time.Now(), ", start time: ", startTime)
log.Print("write to redis")
_, err := pipe.Exec()
if err != nil {
log.Print("points error")
response = Response{
Message: err.Error(),
Ok: false,
}
} else {
log.Print("points written")
response = Response{
Message: "Points wrttien!",
Ok: true,
}
}
log.Print("close pipe")
pipe.Close()
return response, err
}
func main() {
log.Print("start main v2")
lambda.Start(redis_pipeline)
}
当我通过第一个函数调用lambda时，lambda日志会在每次调用函数时显示：
invalid character ')' after top-level value: SyntaxError
null
如果我将RedisBatch结构输出到第一个函数中的文件，并使用该输出通过aws控制台手动测试lambda函数，那么它就能成功运行。输出也是这样的：
{
"RedisPairs": [
{
"redis_key": "kafka9",
"redis_value": "{\"metric_value_number\":1,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.035Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=NumLogSegments,topic=private.topic.lsrp.created.v1,partition=4.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
},
{
"redis_key": "kafka10",
"redis_value": "{\"metric_value_number\":1,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.045Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=NumLogSegments,topic=credit-topic.v1,partition=6.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
},
{
"redis_key": "kafka1",
"redis_value": "{\"metric_value_number\":0,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.063Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=LogEndOffset,topic=credit.test1122.created.v1,partition=3.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
},
{
"redis_key": "kafka2",
"redis_value": "{\"metric_value_number\":0,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.074Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=LogEndOffset,topic=connect-offsets-east,partition=9.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
},
{
"redis_key": "kafka3",
"redis_value": "{\"metric_value_number\":0,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.085Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=Size,topic=credit-uxtest2.created.v1,partition=9.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
},
{
"redis_key": "kafka5",
"redis_value": "{\"metric_value_number\":60,\"path\":\"/sdp/sw/logstashjmx/jmxcfgs\",\"cluster\":\"card01\",\"@timestamp\":\"2018-05-17T08:32:50.097Z\",\"@version\":\"1\",\"host\":\"localhost\",\"metric_path\":\"dsdpecard01kfk05.kafka.log:type=Log,name=LogEndOffset,topic=rte.enrichment.rules,partition=7.Value\",\"type\":null,\"region\":\"us-east-1\"}\n"
}
],
"group_id": "testehb4"
}
为什么当我手动输出数据并对其进行测试时它才起作用，但是当我以编程方式调用函数时却没有？
----- ------ EDIT
刚刚意识到这适用于Event调用类型，但不适用于RequestResponse类型。你在两者之间发送有效载荷的方式有何不同？似乎找不到合适的文档或示例...
答案 0 :(得分：2)
错误在于InvokeInput中的ClientContext分配。
至少在最初尝试将ClientContext注释掉-这样可以使其正常工作。 Doco声明：
ClientContext JSON必须是base64编码的，最大大小为3583字节。
input := &lambda.InvokeInput{
// ClientContext: aws.String("MyApp"),
FunctionName: aws.String("arn:aws:lambda:us-region:arnnum:function:testrpredis"),
InvocationType: aws.String("RequestResponse"),
LogType: aws.String("Tail"),
Payload: payload,
Qualifier: aws.String("$LATEST"),
}
如果要使用ClientContext，那是一个单独的练习。我仍在尝试找出答案。